<?xml version="1.0" encoding="utf-8" ?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:r="https://r-universe.dev"><channel><title>charlescoverdale.r-universe.dev</title><link>https://charlescoverdale.r-universe.dev</link><description>Recent package updates in charlescoverdale</description><generator>R-universe</generator><image><url>https://github.com/charlescoverdale.png</url><title>R packages by charlescoverdale</title><link>https://charlescoverdale.r-universe.dev</link></image><lastBuildDate>Sun, 31 May 2026 19:32:24 GMT</lastBuildDate><item><title>[charlescoverdale] aemo 0.4.2</title><author>charlesfcoverdale@gmail.com (Charles Coverdale)</author><description>Fetch Australian Energy Market Operator (AEMO) public data
from 'NEMweb' &lt;http://nemweb.com.au&gt; and the Market Management
System Data Model (MMSDM) historical archive. Provides tidy
access to 5-minute and 30-minute wholesale electricity prices,
regional demand, dispatch-unit output, interconnector flows,
rooftop photovoltaic generation, generator bids, predispatch
forecasts, frequency control ancillary services markets, and
gas market data across the National Electricity Market (NEM)
regions. Data is published by AEMO under its Copyright
Permissions Notice
&lt;https://www.aemo.com.au/privacy-and-legal-notices/copyright-permissions&gt;.</description><link>https://github.com/r-universe/charlescoverdale/actions/runs/26723167660</link><pubDate>Sun, 31 May 2026 19:32:24 GMT</pubDate><r:package>aemo</r:package><r:version>0.4.2</r:version><r:status>success</r:status><r:repository>https://charlescoverdale.r-universe.dev</r:repository><r:upstream>https://github.com/charlescoverdale/aemo</r:upstream><r:article><r:source>data-dictionary.Rmd</r:source><r:filename>data-dictionary.html</r:filename><r:title>Data dictionary: columns, tables, and AEMO source</r:title><r:created>2026-04-24 07:55:40</r:created><r:modified>2026-04-24 13:01:11</r:modified></r:article><r:article><r:source>timestamps.Rmd</r:source><r:filename>timestamps.html</r:filename><r:title>NEM timestamps: AEST, period-ending, and the 5MS transition</r:title><r:created>2026-04-24 07:55:40</r:created><r:modified>2026-04-24 07:55:40</r:modified></r:article></item><item><title>[charlescoverdale] aieconindex 0.1.1</title><author>charlesfcoverdale@gmail.com (Charles Coverdale)</author><description>Provides clean, tidy access to the 'Anthropic Economic
Index' (AEI) dataset hosted on 'Hugging Face'
&lt;https://huggingface.co/datasets/Anthropic/EconomicIndex&gt;. The
AEI is a recurring release from 'Anthropic' that maps usage of
the 'Claude' family of large language models to occupations and
tasks using the 'O*NET' taxonomy and the 'Standard Occupational
Classification' system, following the methodology of Handa et
al. (2025) &lt;doi:10.48550/arXiv.2503.04761&gt; and the
privacy-preserving system 'Clio' of Tamkin et al. (2024)
&lt;doi:10.48550/arXiv.2412.13678&gt;. Functions list available
releases, fetch raw and enriched usage tables, retrieve task
statements, request hierarchies, and country-level breakdowns,
compare two releases, join the index to user-supplied data on a
shared key, and compute usage-concentration metrics
(Herfindahl-Hirschman Index, top-N concentration ratios,
Shannon entropy). Data is cached locally for subsequent calls.
Reproducibility helpers produce 'BibTeX' or plain-text
citations that include the methodological source paper. This
product uses the 'Anthropic Economic Index' data (released
under CC-BY by 'Anthropic') but is not endorsed or certified by
'Anthropic'.</description><link>https://github.com/r-universe/charlescoverdale/actions/runs/26723168747</link><pubDate>Sun, 31 May 2026 19:22:42 GMT</pubDate><r:package>aieconindex</r:package><r:version>0.1.1</r:version><r:status>success</r:status><r:repository>https://charlescoverdale.r-universe.dev</r:repository><r:upstream>https://github.com/charlescoverdale/aieconindex</r:upstream><r:article><r:source>aieconindex.Rmd</r:source><r:filename>aieconindex.html</r:filename><r:title>Getting started with aieconindex</r:title><r:created>2026-04-28 20:13:31</r:created><r:modified>2026-04-28 20:13:31</r:modified></r:article></item><item><title>[charlescoverdale] predictset 0.3.2</title><author>charlesfcoverdale@gmail.com (Charles Coverdale)</author><description>Implements conformal prediction methods for constructing
prediction intervals (regression) and prediction sets
(classification) with finite-sample coverage guarantees.
Methods include split conformal, 'CV+' and 'Jackknife+' (Barber
et al. 2021) &lt;doi:10.1214/20-AOS1965&gt;, 'Conformalized Quantile
Regression' (Romano et al. 2019)
&lt;doi:10.48550/arXiv.1905.03222&gt;, 'Adaptive Prediction Sets'
(Romano, Sesia, Candes 2020) &lt;doi:10.48550/arXiv.2006.02544&gt;,
'Regularized Adaptive Prediction Sets' (Angelopoulos et al.
2021) &lt;doi:10.48550/arXiv.2009.14193&gt;, Mondrian conformal
prediction for group-conditional coverage (Vovk, Gammerman, and
Shafer 2005) &lt;doi:10.1007/b106715&gt;, weighted conformal
prediction for covariate shift (Tibshirani et al. 2019)
&lt;doi:10.48550/arXiv.1904.06019&gt;, and adaptive conformal
inference for sequential prediction (Gibbs and Candes 2021)
&lt;doi:10.48550/arXiv.2106.00170&gt;. All methods are
distribution-free and provide calibrated uncertainty
quantification without parametric assumptions. Works with any
model that can produce predictions from new data, including
'lm', 'glm', 'ranger', 'xgboost', and custom user-defined
models.</description><link>https://github.com/r-universe/charlescoverdale/actions/runs/26689610141</link><pubDate>Sat, 30 May 2026 15:06:31 GMT</pubDate><r:package>predictset</r:package><r:version>0.3.2</r:version><r:status>success</r:status><r:repository>https://charlescoverdale.r-universe.dev</r:repository><r:upstream>https://github.com/charlescoverdale/predictset</r:upstream><r:article><r:source>predictset.Rmd</r:source><r:filename>predictset.html</r:filename><r:title>Getting Started with predictset</r:title><r:created>2026-03-13 20:29:40</r:created><r:modified>2026-03-14 10:16:23</r:modified></r:article></item><item><title>[charlescoverdale] yieldcurves 0.1.0</title><author>charlesfcoverdale@gmail.com (Charles Coverdale)</author><description>Fits yield curves using Nelson-Siegel (1987)
&lt;doi:10.1086/296409&gt;, Svensson (1994) &lt;doi:10.3386/w4871&gt;, and
cubic spline methods. Extracts forward rates, discount factors,
and par rates from fitted curves. Computes duration and
convexity risk measures. Computes Z-spread and key rate
durations. Provides principal component decomposition following
Litterman and Scheinkman (1991) &lt;doi:10.3905/jfi.1991.692347&gt;,
carry and roll-down analysis, and slope measures. All methods
are pure computation with no external dependencies beyond base
R; works with yield data from any source.</description><link>https://github.com/r-universe/charlescoverdale/actions/runs/26687108348</link><pubDate>Sat, 30 May 2026 14:59:05 GMT</pubDate><r:package>yieldcurves</r:package><r:version>0.1.0</r:version><r:status>success</r:status><r:repository>https://charlescoverdale.r-universe.dev</r:repository><r:upstream>https://github.com/charlescoverdale/yieldcurves</r:upstream></item><item><title>[charlescoverdale] nowcast 0.1.0</title><author>charlesfcoverdale@gmail.com (Charles Coverdale)</author><description>Provides bridge equations with optional autoregressive
terms for nowcasting low-frequency macroeconomic variables
(e.g. quarterly GDP) from higher-frequency indicators (e.g.
monthly retail sales). Handles the ragged-edge problem where
different indicators have different publication lags via
mixed-frequency alignment. Includes pseudo-real-time evaluation
with expanding or rolling windows, and the Diebold-Mariano test
for comparing forecast accuracy following Harvey, Leybourne,
and Newbold (1997) &lt;doi:10.1016/S0169-2070(96)00719-4&gt;. No API
calls; designed to work with data from any source.</description><link>https://github.com/r-universe/charlescoverdale/actions/runs/26687107357</link><pubDate>Sat, 30 May 2026 14:59:04 GMT</pubDate><r:package>nowcast</r:package><r:version>0.1.0</r:version><r:status>success</r:status><r:repository>https://charlescoverdale.r-universe.dev</r:repository><r:upstream>https://github.com/charlescoverdale/nowcast</r:upstream></item><item><title>[charlescoverdale] mpshock 0.1.1</title><author>charlesfcoverdale@gmail.com (Charles Coverdale)</author><description>Provides a curated multi-country collection of monetary
policy shock and stance series from the empirical
macroeconomics literature, bundled as tidy data frames with
provenance metadata. Version 0.1.0 includes thirteen series
covering the United States, United Kingdom, and Australia: for
the US, the policy news shock of Nakamura and Steinsson (2018)
&lt;doi:10.1093/qje/qjy004&gt;, the orthogonalised surprise of Bauer
and Swanson (2023) &lt;doi:10.1086/723574&gt;, the target and path
factors of the Swanson (2021)
&lt;doi:10.1016/j.jmoneco.2020.09.003&gt; extension of Gurkaynak,
Sack, and Swanson (2005), the pure monetary policy and central
bank information shocks of Jarocinski and Karadi (2020)
&lt;doi:10.1257/mac.20180090&gt;, the informationally-robust shock of
Miranda-Agrippino and Ricco (2021) &lt;doi:10.1257/mac.20180124&gt;,
and the shadow federal funds rate of Wu and Xia (2016)
&lt;doi:10.1111/jmcb.12300&gt;; for the UK, the UK Monetary Policy
Event-Study Database of Braun, Miranda-Agrippino, and Saha
(2025) &lt;doi:10.1016/j.jmoneco.2024.103645&gt;, the high-frequency
surprise of Cesa-Bianchi, Thwaites, and Vicondoa (2020)
&lt;doi:10.1016/j.euroecorev.2020.103375&gt;, and the narrative shock
of Cloyne and Hurtgen (2016) &lt;doi:10.1257/mac.20150093&gt;; for
Australia, the three-component RBA surprise of Hambur and Haque
(2023) &lt;doi:10.1111/1475-4932.12786&gt; and the
credit-spread-augmented RBA narrative shock of Beckers (2020).
Helpers support date alignment, frequency conversion, and shock
cumulation. All data is bundled; no runtime network access is
required.</description><link>https://github.com/r-universe/charlescoverdale/actions/runs/26687106416</link><pubDate>Sat, 30 May 2026 14:59:02 GMT</pubDate><r:package>mpshock</r:package><r:version>0.1.1</r:version><r:status>success</r:status><r:repository>https://charlescoverdale.r-universe.dev</r:repository><r:upstream>https://github.com/charlescoverdale/mpshock</r:upstream></item><item><title>[charlescoverdale] ivcheck 0.1.2</title><author>charlesfcoverdale@gmail.com (Charles Coverdale)</author><description>Implements tests for the identifying assumptions of
instrumental variable models, the local exclusion restriction
and monotonicity conditions required for local average
treatment effect identification. Covers Kitagawa (2015)
&lt;doi:10.3982/ECTA11974&gt;, Mourifie and Wan (2017)
&lt;doi:10.1162/REST_a_00622&gt;, and Frandsen, Lefgren, and Leslie
(2023) &lt;doi:10.1257/aer.20201860&gt;. Includes a one-shot wrapper
that runs all applicable tests on a fitted instrumental
variable model. Dispatches on 'fixest' and 'ivreg' model
objects.</description><link>https://github.com/r-universe/charlescoverdale/actions/runs/26687105358</link><pubDate>Sat, 30 May 2026 14:59:01 GMT</pubDate><r:package>ivcheck</r:package><r:version>0.1.2</r:version><r:status>success</r:status><r:repository>https://charlescoverdale.r-universe.dev</r:repository><r:upstream>https://github.com/charlescoverdale/ivcheck</r:upstream><r:article><r:source>getting-started.Rmd</r:source><r:filename>getting-started.html</r:filename><r:title>Getting started with ivcheck</r:title><r:created>2026-04-19 19:52:08</r:created><r:modified>2026-04-19 19:52:08</r:modified></r:article><r:article><r:source>judge-designs.Rmd</r:source><r:filename>judge-designs.html</r:filename><r:title>Judge-fixed-effects designs</r:title><r:created>2026-04-19 19:52:08</r:created><r:modified>2026-04-22 06:29:47</r:modified></r:article><r:article><r:source>with-fixest.Rmd</r:source><r:filename>with-fixest.html</r:filename><r:title>Using ivcheck with fixest</r:title><r:created>2026-04-19 19:52:08</r:created><r:modified>2026-05-11 19:45:16</r:modified></r:article></item><item><title>[charlescoverdale] inflationkit 0.1.0</title><author>charlesfcoverdale@gmail.com (Charles Coverdale)</author><description>Tools for analysing inflation dynamics. Computes weighted
contributions of price index components, core inflation
measures (trimmed mean, weighted median, exclusion-based)
following Bryan and Cecchetti (1994), inflation persistence via
sum-of-AR-coefficients, diffusion indices, Phillips curve
estimation, breakeven inflation, and trend inflation using the
Beveridge-Nelson decomposition and Hodrick-Prescott filter. All
functions are pure computation and work with price data from
any source.</description><link>https://github.com/r-universe/charlescoverdale/actions/runs/26687105124</link><pubDate>Sat, 30 May 2026 14:59:00 GMT</pubDate><r:package>inflationkit</r:package><r:version>0.1.0</r:version><r:status>success</r:status><r:repository>https://charlescoverdale.r-universe.dev</r:repository><r:upstream>https://github.com/charlescoverdale/inflationkit</r:upstream></item><item><title>[charlescoverdale] inflateR 0.2.0</title><author>charlesfcoverdale@gmail.com (Charles Coverdale)</author><description>Convert historical monetary values into their present-day
equivalents using bundled CPI (Consumer Price Index) and GDP
deflator data sourced from the World Bank Development
Indicators. Supports British pounds (GBP), Australian dollars
(AUD), US dollars (USD), Euro (EUR), Canadian dollars (CAD),
Japanese yen (JPY), Chinese yuan (CNY), Swiss francs (CHF), New
Zealand dollars (NZD), Indian rupees (INR), South Korean won
(KRW), Brazilian reais (BRL), and Norwegian krone (NOK).
Currency codes and country names are both accepted as input.</description><link>https://github.com/r-universe/charlescoverdale/actions/runs/26687103391</link><pubDate>Sat, 30 May 2026 14:58:58 GMT</pubDate><r:package>inflateR</r:package><r:version>0.2.0</r:version><r:status>success</r:status><r:repository>https://charlescoverdale.r-universe.dev</r:repository><r:upstream>https://github.com/charlescoverdale/inflater</r:upstream></item><item><title>[charlescoverdale] inequality 0.2.0</title><author>charlesfcoverdale@gmail.com (Charles Coverdale)</author><description>Tools for measuring income and wealth inequality. Computes
the Gini coefficient with bootstrap or asymptotic confidence
intervals following Davidson (2009)
&lt;doi:10.1016/j.jeconom.2008.11.004&gt;, the extended S-Gini
family, Theil T and L indices (generalised entropy family), the
Atkinson index, the Kolm absolute inequality index, Palma
ratio, Hoover index, percentile ratios, and Lorenz curves.
Supports between-within group decomposition following
Bourguignon (1979) &lt;doi:10.2307/1914138&gt;, income share
tabulation, concentration indices for health inequality with
Erreygers (2009) correction, Kakwani tax progressivity and
Reynolds-Smolensky redistribution indices,
Foster-Greer-Thorbecke poverty measures including the Sen
index, growth incidence curves following Ravallion and Chen
(2003) &lt;doi:10.1016/S0165-1765(02)00205-7&gt;, and Wolfson
polarisation. All functions accept optional survey weights and
work with data from any source.</description><link>https://github.com/r-universe/charlescoverdale/actions/runs/26687102629</link><pubDate>Sat, 30 May 2026 14:58:57 GMT</pubDate><r:package>inequality</r:package><r:version>0.2.0</r:version><r:status>success</r:status><r:repository>https://charlescoverdale.r-universe.dev</r:repository><r:upstream>https://github.com/charlescoverdale/inequality</r:upstream></item><item><title>[charlescoverdale] debtkit 0.1.3</title><author>charlesfcoverdale@gmail.com (Charles Coverdale)</author><description>Analyses government debt sustainability using the standard
debt dynamics framework from Blanchard (1990)
&lt;doi:10.1787/budget-v2-art12-en&gt; and the IMF Debt
Sustainability Analysis methodology (IMF, 2013) and the
Sovereign Risk and Debt Sustainability Framework (IMF, 2022).
Projects debt-to-GDP paths, decomposes historical debt changes
into interest, growth, and primary balance contributions, and
estimates fiscal reaction functions following Bohn (1998)
&lt;doi:10.1162/003355398555793&gt;. Produces stochastic fan charts
via Monte Carlo simulation, standardised stress tests, and IMF-
style heat map risk assessments. Computes S1/S2 sustainability
gap indicators used by the European Commission. All methods are
pure computation with no external dependencies beyond base R;
works with fiscal data from any source.</description><link>https://github.com/r-universe/charlescoverdale/actions/runs/26687101728</link><pubDate>Sat, 30 May 2026 14:58:56 GMT</pubDate><r:package>debtkit</r:package><r:version>0.1.3</r:version><r:status>success</r:status><r:repository>https://charlescoverdale.r-universe.dev</r:repository><r:upstream>https://github.com/charlescoverdale/debtkit</r:upstream></item><item><title>[charlescoverdale] climatekit 0.2.0</title><author>charlesfcoverdale@gmail.com (Charles Coverdale)</author><description>Compute the standard suite of climate indices from daily
weather observations. Provides the canonical 'ETCCDI' 27
(Expert Team on Climate Change Detection and Indices), the
'ET-SCI' heatwave and cold-wave families plus the Excess Heat
Factor of Nairn and Fawcett (2013), and agroclimatic, drought,
and human-comfort families. Drought indices ('SPI', 'SPEI')
accept a choice of distribution (gamma or Pearson III for SPI;
log-logistic or generalised extreme value for SPEI). Reference
evapotranspiration is available via Hargreaves and the FAO-56
Penman-Monteith method (Allen et al. 1998). Percentile-based
indices support the Zhang (2005) in-base bootstrap. Daily
inputs are numeric vectors plus a 'Date' vector; outputs are
tidy data frames. Optional gridded support via 'terra' applies
any index over a 'SpatRaster' and reads 'netCDF' input. No
external API calls; pairs with data packages such as
'readnoaa'. References: Alexander et al. (2006)
&lt;doi:10.1029/2005JD006290&gt;; Zhang et al. (2011)
&lt;doi:10.1002/wcc.147&gt;; Zhang et al. (2005)
&lt;doi:10.1175/JCLI3366.1&gt;.</description><link>https://github.com/r-universe/charlescoverdale/actions/runs/26687101211</link><pubDate>Sat, 30 May 2026 14:58:54 GMT</pubDate><r:package>climatekit</r:package><r:version>0.2.0</r:version><r:status>success</r:status><r:repository>https://charlescoverdale.r-universe.dev</r:repository><r:upstream>https://github.com/charlescoverdale/climatekit</r:upstream><r:article><r:source>climdex-migration.Rmd</r:source><r:filename>climdex-migration.html</r:filename><r:title>Migrating from climdex.pcic</r:title><r:created>2026-05-07 19:29:48</r:created><r:modified>2026-05-07 19:29:48</r:modified></r:article></item><item><title>[charlescoverdale] boe 0.3.0</title><author>charlesfcoverdale@gmail.com (Charles Coverdale)</author><description>Provides functions to download and tidy statistical data
published by the 'Bank of England'
&lt;https://www.bankofengland.co.uk&gt;. Covers Bank Rate, 'SONIA',
gilt yields, exchange rates, mortgage rates, mortgage
approvals, consumer credit, and money supply. Series are
fetched from the 'Bank of England Interactive Statistical
Database' using its CSV endpoint. Data is cached locally
between sessions.</description><link>https://github.com/r-universe/charlescoverdale/actions/runs/26687100205</link><pubDate>Sat, 30 May 2026 14:20:57 GMT</pubDate><r:package>boe</r:package><r:version>0.3.0</r:version><r:status>success</r:status><r:repository>https://charlescoverdale.r-universe.dev</r:repository><r:upstream>https://github.com/charlescoverdale/boe</r:upstream><r:article><r:source>yield-curves.Rmd</r:source><r:filename>yield-curves.html</r:filename><r:title>Anderson-Sleath yield curves: latest and historical</r:title><r:created>2026-05-07 21:00:32</r:created><r:modified>2026-05-29 16:31:12</r:modified></r:article></item><item><title>[charlescoverdale] magentabook 0.1.1</title><author>charlesfcoverdale@gmail.com (Charles Coverdale)</author><description>Implements policy evaluation primitives from HM Treasury
Magenta Book guidance (HM Treasury, 2026): theory of change and
log-frame construction, evaluation planning and stakeholder
mapping, power and minimum-detectable-effect calculations for
randomised designs (including cluster and stepped-wedge designs
following Hussey and Hughes (2007)
&lt;doi:10.1016/j.cct.2006.05.007&gt; and Hemming et al. (2015)
&lt;doi:10.1136/bmj.h391&gt;), Maryland Scientific Methods Scale
ratings, structured confidence ratings, light-weight
difference-in-differences and interrupted-time-series
estimators (Bernal et al. (2017) &lt;doi:10.1093/ije/dyw098&gt;) with
cluster-robust standard errors (Cameron and Miller (2015)
&lt;doi:10.3368/jhr.50.2.317&gt;), pre-treatment balance checks
(Stuart (2010) &lt;doi:10.1214/09-STS313&gt;), and cost-effectiveness
analysis (cost per outcome, incremental cost-effectiveness
ratio, acceptability curves, incremental net benefit,
quality-adjusted and disability-adjusted life years). Designed
as the evaluation companion to the appraisal package
'greenbook'. Bundled rubric and reference tables carry vintage
metadata for reproducibility. Aligned with the May 2026
republication of the Magenta Book.</description><link>https://github.com/r-universe/charlescoverdale/actions/runs/26093145215</link><pubDate>Tue, 19 May 2026 09:04:42 GMT</pubDate><r:package>magentabook</r:package><r:version>0.1.1</r:version><r:status>success</r:status><r:repository>https://charlescoverdale.r-universe.dev</r:repository><r:upstream>https://github.com/charlescoverdale/magentabook</r:upstream><r:article><r:source>cost-effectiveness-with-greenbook.Rmd</r:source><r:filename>cost-effectiveness-with-greenbook.html</r:filename><r:title>Cost-effectiveness with magentabook and greenbook</r:title><r:created>2026-04-28 05:49:07</r:created><r:modified>2026-04-28 16:12:39</r:modified></r:article><r:article><r:source>magentabook.Rmd</r:source><r:filename>magentabook.html</r:filename><r:title>Designing a Magenta Book evaluation</r:title><r:created>2026-04-28 05:49:07</r:created><r:modified>2026-05-19 08:19:34</r:modified></r:article></item><item><title>[charlescoverdale] obr 0.5.0</title><author>charlesfcoverdale@gmail.com (Charles Coverdale)</author><description>Provides clean, tidy access to data published by the
'Office for Budget Responsibility' ('OBR'), the UK's
independent fiscal watchdog. Covers the Public Finances
Databank (outturn for PSNB, PSND, receipts, and expenditure
since 1946), the Historical Official Forecasts Database (every
'OBR' forecast since 2010), the Economic and Fiscal Outlook
detailed forecast tables (five-year projections from the latest
Budget), the Welfare Trends Report (incapacity benefit spending
and caseloads), and the Fiscal Risks and Sustainability Report
(50-year state pension projections). All returned objects carry
provenance metadata recording the source URL, publication
vintage, retrieval time, and file fingerprint, so analyses can
be audited and reproduced. Data is downloaded from the 'OBR' on
first use and cached locally for subsequent calls. Data is
sourced from the 'OBR' website &lt;https://obr.uk&gt;.</description><link>https://github.com/r-universe/charlescoverdale/actions/runs/25726724131</link><pubDate>Thu, 07 May 2026 21:07:04 GMT</pubDate><r:package>obr</r:package><r:version>0.5.0</r:version><r:status>success</r:status><r:repository>https://charlescoverdale.r-universe.dev</r:repository><r:upstream>https://github.com/charlescoverdale/obr</r:upstream><r:article><r:source>forecast-revisions.Rmd</r:source><r:filename>forecast-revisions.html</r:filename><r:title>Anatomy of a forecast revision</r:title><r:created>2026-04-25 20:55:41</r:created><r:modified>2026-04-25 20:55:41</r:modified></r:article><r:article><r:source>vintages.Rmd</r:source><r:filename>vintages.html</r:filename><r:title>Pinning to a specific OBR publication</r:title><r:created>2026-04-25 20:55:41</r:created><r:modified>2026-05-07 19:26:08</r:modified></r:article><r:article><r:source>policy-measures.Rmd</r:source><r:filename>policy-measures.html</r:filename><r:title>Tracking fiscal policy measures since 1970</r:title><r:created>2026-04-25 20:55:41</r:created><r:modified>2026-04-25 20:55:41</r:modified></r:article><r:article><r:source>efo-forecasts.Rmd</r:source><r:filename>efo-forecasts.html</r:filename><r:title>Working with EFO forecasts</r:title><r:created>2026-05-07 19:26:08</r:created><r:modified>2026-05-07 19:26:08</r:modified></r:article></item><item><title>[charlescoverdale] greenbook 0.1.0</title><author>charlesfcoverdale@gmail.com (Charles Coverdale)</author><description>Implements cost-benefit analysis primitives from HM
Treasury Green Book guidance (HM Treasury, 2022, 2026): the
kinked Social Time Preference Rate (STPR), discount factors,
net present value (NPV), equivalent annual cost, and real-terms
rebasing using the GDP deflator. Designed for UK central
government appraisal and evaluation. Bundled parameter tables
carry vintage metadata for reproducibility.</description><link>https://github.com/r-universe/charlescoverdale/actions/runs/26868307661</link><pubDate>Mon, 04 May 2026 19:12:06 GMT</pubDate><r:package>greenbook</r:package><r:version>0.1.0</r:version><r:status>success</r:status><r:repository>https://charlescoverdale.r-universe.dev</r:repository><r:upstream>https://github.com/charlescoverdale/greenbook</r:upstream><r:article><r:source>carbon-and-environment.Rmd</r:source><r:filename>carbon-and-environment.html</r:filename><r:title>Carbon and environmental valuation</r:title><r:created>2026-04-26 09:37:35</r:created><r:modified>2026-04-26 12:59:19</r:modified></r:article><r:article><r:source>greenbook.Rmd</r:source><r:filename>greenbook.html</r:filename><r:title>Getting started with greenbook</r:title><r:created>2026-04-26 09:10:13</r:created><r:modified>2026-04-26 09:10:13</r:modified></r:article></item><item><title>[charlescoverdale] carbondata 0.1.1</title><author>charlesfcoverdale@gmail.com (Charles Coverdale)</author><description>Unified access to carbon market data from compliance
emissions trading systems ('EU ETS', 'UK ETS', 'RGGI',
California Cap-and-Trade) and voluntary carbon markets (Verra,
Gold Standard, American Carbon Registry, Climate Action
Reserve, via the Berkeley Voluntary Registry Offsets Database
and the 'CarbonPlan' 'OffsetsDB' API). Includes cross-market
price data from the 'International Carbon Action Partnership'
('ICAP') Allowance Price Explorer
&lt;https://icapcarbonaction.com/en/ets-prices&gt;, global carbon
pricing from the World Bank Carbon Pricing Dashboard
&lt;https://carbonpricingdashboard.worldbank.org/&gt;, and the
historical 'RFF' World Carbon Pricing Database following
Dolphin, Pollitt and Newbery (2020)
&lt;doi:10.1038/s41597-022-01659-x&gt;. Data is downloaded from
public sources on first use and cached locally.</description><link>https://github.com/r-universe/charlescoverdale/actions/runs/26868145616</link><pubDate>Mon, 04 May 2026 19:11:46 GMT</pubDate><r:package>carbondata</r:package><r:version>0.1.1</r:version><r:status>success</r:status><r:repository>https://charlescoverdale.r-universe.dev</r:repository><r:upstream>https://github.com/charlescoverdale/carbondata</r:upstream></item><item><title>[charlescoverdale] ukhousing 0.1.0</title><author>charlesfcoverdale@gmail.com (Charles Coverdale)</author><description>Fetch UK housing data from official sources. Access the UK
House Price Index and Price Paid Data from 'HM Land Registry'
&lt;https://landregistry.data.gov.uk/&gt;, domestic and non-domestic
Energy Performance Certificates from the 'MHCLG' Open Data
service &lt;https://epc.opendatacommunities.org/&gt;, and planning
application, brownfield land, and local plan data from
'planning.data.gov.uk' &lt;https://www.planning.data.gov.uk/&gt;.
Data covers all 441 UK local authorities from 1995 to the
present. Functions accept flexible filters (postcode, local
authority, property type, date range) and return tidy data
frames. Downloaded data is cached locally for subsequent calls.</description><link>https://github.com/r-universe/charlescoverdale/actions/runs/26868171970</link><pubDate>Mon, 04 May 2026 19:11:44 GMT</pubDate><r:package>ukhousing</r:package><r:version>0.1.0</r:version><r:status>success</r:status><r:repository>https://charlescoverdale.r-universe.dev</r:repository><r:upstream>https://github.com/charlescoverdale/ukhousing</r:upstream></item><item><title>[charlescoverdale] cer 0.1.0</title><author>charlesfcoverdale@gmail.com (Charles Coverdale)</author><description>Fetch Australian Clean Energy Regulator data on carbon
credits, safeguard mechanism facilities, renewable energy
certificates, and greenhouse gas reporting. Provides tidy
access to the Australian Carbon Credit Unit (ACCU) Scheme
project register, Safeguard Mechanism baselines and covered
emissions, Large-scale Renewable Energy Target (LRET) power
station accreditations, Small-scale Renewable Energy Scheme
(SRES) installation data, the National Greenhouse and Energy
Reporting (NGER) scheme, and Quarterly Carbon Market Reports
&lt;https://cer.gov.au/markets/reports-and-data&gt;. Includes a
post-Chubb ACCU integrity layer (Chubb 2022 Independent
Review), Safeguard reform handling (declining industry
baselines from July 2023), National Greenhouse and Energy
Reporting scope discipline (Scope 1 / Scope 2 market vs
location / Climate Active), reconciliation against the
Quarterly Carbon Market Report, and reproducibility helpers
(snapshot pinning, SHA-256 cache integrity, session manifest,
optional Zenodo deposit). Data is published by the Clean Energy
Regulator under a Creative Commons Attribution 4.0
International licence.</description><link>https://github.com/r-universe/charlescoverdale/actions/runs/26868313938</link><pubDate>Mon, 04 May 2026 19:11:42 GMT</pubDate><r:package>cer</r:package><r:version>0.1.0</r:version><r:status>success</r:status><r:repository>https://charlescoverdale.r-universe.dev</r:repository><r:upstream>https://github.com/charlescoverdale/cer</r:upstream><r:article><r:source>methodology.Rmd</r:source><r:filename>methodology.html</r:filename><r:title>Methodology: hand-computed worked examples</r:title><r:created>2026-04-24 10:20:27</r:created><r:modified>2026-04-24 10:20:27</r:modified></r:article><r:article><r:source>nger-scope-reconciliation.Rmd</r:source><r:filename>nger-scope-reconciliation.html</r:filename><r:title>NGER scope reconciliation: Scope 1 vs Scope 2 vs Climate Active</r:title><r:created>2026-04-24 10:20:27</r:created><r:modified>2026-04-24 10:20:27</r:modified></r:article><r:article><r:source>offsets-integrity-primer.Rmd</r:source><r:filename>offsets-integrity-primer.html</r:filename><r:title>Offsets integrity primer: reading ACCUs after the Chubb Review</r:title><r:created>2026-04-24 10:20:27</r:created><r:modified>2026-04-24 13:01:46</r:modified></r:article><r:article><r:source>ret-compliance-primer.Rmd</r:source><r:filename>ret-compliance-primer.html</r:filename><r:title>RET compliance primer: LGCs, STCs, and the shortfall charge</r:title><r:created>2026-04-24 10:20:27</r:created><r:modified>2026-04-24 10:20:27</r:modified></r:article><r:article><r:source>safeguard-reform.Rmd</r:source><r:filename>safeguard-reform.html</r:filename><r:title>Safeguard Mechanism reform: pre- vs post-1 July 2023</r:title><r:created>2026-04-24 10:20:27</r:created><r:modified>2026-04-24 10:20:27</r:modified></r:article></item><item><title>[charlescoverdale] ato 0.1.0</title><author>charlesfcoverdale@gmail.com (Charles Coverdale)</author><description>Fetch Australian Taxation Office (ATO) Taxation Statistics
and related datasets via the data.gov.au Comprehensive
Knowledge Archive Network ('CKAN') API
&lt;https://data.gov.au/data/api/3/&gt;. Provides tidy access to
individual, company, superannuation, goods and services tax
(GST), fringe benefits tax (FBT), Voluntary Tax Transparency
Code (VTTC), Pay As You Go (PAYG) withholding, charity, excise,
and Corporate Tax Transparency data, plus Division 293,
Petroleum Resource Rent Tax, Medicare Levy Surcharge, fuel tax
credits, compliance, and Working Holiday Maker aggregates.
Includes reproducibility helpers (snapshot pinning, SHA-256
cache integrity, session manifest, optional 'Zenodo' deposit),
classification crosswalks (ANZSIC 2006 to 2020, ANZSCO 2013 to
2021), panel harmonisation, reconciliation against Final Budget
Outcome totals, and real-terms and per-capita helpers backed by
bundled Australian Bureau of Statistics (ABS) Consumer Price
Index and Estimated Resident Population series. Bridges to the
'taxstats' 2 per cent microdata sample via column-schema
mapping. Data is published by the Australian Taxation Office
under Creative Commons Attribution 2.5 Australia or 3.0
Australia licences (dataset-dependent).</description><link>https://github.com/r-universe/charlescoverdale/actions/runs/26868275133</link><pubDate>Mon, 04 May 2026 19:11:40 GMT</pubDate><r:package>ato</r:package><r:version>0.1.0</r:version><r:status>success</r:status><r:repository>https://charlescoverdale.r-universe.dev</r:repository><r:upstream>https://github.com/charlescoverdale/ato</r:upstream><r:article><r:source>canonical-replications.Rmd</r:source><r:filename>canonical-replications.html</r:filename><r:title>Canonical replications: top 1% share, corporate ETR, tax gap trend</r:title><r:created>2026-04-24 09:12:54</r:created><r:modified>2026-04-24 13:01:28</r:modified></r:article><r:article><r:source>interop-grattan-taxstats.Rmd</r:source><r:filename>interop-grattan-taxstats.html</r:filename><r:title>Interop with grattan and taxstats: costing a hypothetical reform</r:title><r:created>2026-04-24 09:12:54</r:created><r:modified>2026-04-24 12:38:27</r:modified></r:article><r:article><r:source>methodology.Rmd</r:source><r:filename>methodology.html</r:filename><r:title>Methodology: hand-computed worked examples</r:title><r:created>2026-04-24 09:12:54</r:created><r:modified>2026-04-24 09:12:54</r:modified></r:article><r:article><r:source>panel-and-reconcile.Rmd</r:source><r:filename>panel-and-reconcile.html</r:filename><r:title>Panels, harmonisation, reconciliation, real terms, per-capita</r:title><r:created>2026-04-24 09:12:54</r:created><r:modified>2026-04-24 09:12:54</r:modified></r:article><r:article><r:source>reproducibility.Rmd</r:source><r:filename>reproducibility.html</r:filename><r:title>Reproducibility workflow: snapshot, manifest, SHA-256, Zenodo</r:title><r:created>2026-04-24 09:12:54</r:created><r:modified>2026-04-24 12:38:27</r:modified></r:article></item><item><title>[charlescoverdale] readnoaa 0.1.2</title><author>charlesfcoverdale@gmail.com (Charles Coverdale)</author><description>Provides clean, tidy access to climate and weather data
from the 'National Oceanic and Atmospheric Administration'
('NOAA') via the 'National Centers for Environmental
Information' ('NCEI') Data Service API
&lt;https://www.ncei.noaa.gov/access/services/data/v1&gt;. Covers
daily weather observations, monthly and annual summaries, and
30-year climate normals from over 100,000 stations across 180
countries. No API key is required. Dedicated functions handle
the most common datasets, while a generic fetcher provides
access to all 'NCEI' datasets. Station discovery functions help
users find stations by location or name. Data is downloaded on
first use and cached locally for subsequent calls. This package
is not endorsed or certified by 'NOAA'.</description><link>https://github.com/r-universe/charlescoverdale/actions/runs/26868228020</link><pubDate>Mon, 04 May 2026 19:11:39 GMT</pubDate><r:package>readnoaa</r:package><r:version>0.1.2</r:version><r:status>success</r:status><r:repository>https://charlescoverdale.r-universe.dev</r:repository><r:upstream>https://github.com/charlescoverdale/readnoaa</r:upstream></item><item><title>[charlescoverdale] comtrade 0.1.1</title><author>charlesfcoverdale@gmail.com (Charles Coverdale)</author><description>Download and analyse international merchandise and
services trade data from the United Nations Comtrade database
&lt;https://comtradeplus.un.org/&gt;. Retrieve bilateral trade flows,
compute trade analytics (revealed comparative advantage, trade
concentration, trade balance), and convert between commodity
classifications (Harmonised System 'HS', Standard International
Trade Classification 'SITC', Broad Economic Categories 'BEC').
Covers 200+ reporter countries, 60+ years of goods trade data
(1962-present), and services trade via Extended Balance of
Payments Services ('EBOPS'). Works without registration for
basic queries. A free Application Programming Interface ('API')
key from &lt;https://comtradedeveloper.un.org/&gt; unlocks full
access.</description><link>https://github.com/r-universe/charlescoverdale/actions/runs/25427757665</link><pubDate>Mon, 04 May 2026 19:11:38 GMT</pubDate><r:package>comtrade</r:package><r:version>0.1.1</r:version><r:status>success</r:status><r:repository>https://charlescoverdale.r-universe.dev</r:repository><r:upstream>https://github.com/charlescoverdale/comtrade</r:upstream></item><item><title>[charlescoverdale] fred 0.3.0</title><author>charles.f.coverdale@gmail.com (Charles Coverdale)</author><description>Provides clean, tidy access to economic data from the
'Federal Reserve Economic Data' ('FRED') API
&lt;https://fred.stlouisfed.org/docs/api/fred/&gt;. 'FRED' is
maintained by the 'Federal Reserve Bank of St. Louis' and
contains over 800,000 time series from 118 sources covering
GDP, employment, inflation, interest rates, trade, and more.
Dedicated functions fetch series observations, search for
series, browse categories, releases, and tags, and retrieve
series metadata. Multiple series can be fetched in a single
call, in long or wide format. Server-side unit transformations
(percent change, log, etc.) and frequency aggregation are
supported, with readable transform aliases such as 'yoy_pct'
and 'log_diff'. Real-time and vintage helpers (built on
'ALFRED') return a series as it appeared on a given date, the
first-release version, every revision, or a panel of selected
vintages. An offline curated catalogue of around fifty popular
series, NBER recession reference dates, and FOMC meeting dates
support discoverability and event-study workflows. Default
'plot' method shades NBER recession periods. Reproducibility
helpers produce BibTeX or plain-text citations and YAML
manifests with per-object hashes. Data is cached locally for
subsequent calls. This product uses the 'FRED' API but is not
endorsed or certified by the 'Federal Reserve Bank of St.
Louis'.</description><link>https://github.com/r-universe/charlescoverdale/actions/runs/26868214069</link><pubDate>Mon, 04 May 2026 19:11:36 GMT</pubDate><r:package>fred</r:package><r:version>0.3.0</r:version><r:status>success</r:status><r:repository>https://charlescoverdale.r-universe.dev</r:repository><r:upstream>https://github.com/charlescoverdale/fred</r:upstream><r:article><r:source>multi-series-workflows.Rmd</r:source><r:filename>multi-series-workflows.html</r:filename><r:title>Multi-series macro panels: fetch, transform, widen, plot</r:title><r:created>2026-04-26 09:03:15</r:created><r:modified>2026-04-26 12:29:34</r:modified></r:article><r:article><r:source>nowcasting-with-fred.Rmd</r:source><r:filename>nowcasting-with-fred.html</r:filename><r:title>Real-time GDP nowcasting with monthly indicators</r:title><r:created>2026-04-26 09:03:15</r:created><r:modified>2026-04-26 12:29:34</r:modified></r:article><r:article><r:source>inflation-revisions.Rmd</r:source><r:filename>inflation-revisions.html</r:filename><r:title>Tracking core inflation revisions</r:title><r:created>2026-04-26 09:03:15</r:created><r:modified>2026-04-26 12:29:34</r:modified></r:article></item><item><title>[charlescoverdale] readoecd 0.3.4</title><author>charlesfcoverdale@gmail.com (Charles Coverdale)</author><description>Provides clean, tidy access to key economic indicators
published by the 'Organisation for Economic Co-operation and
Development' ('OECD'), covering GDP, CPI inflation,
unemployment, tax revenue, government deficit, health
expenditure, education expenditure, income inequality, labour
productivity, and current account balance across all 38 'OECD'
member countries. Data is downloaded from the 'OECD Data
Explorer' API &lt;https://data-explorer.oecd.org&gt; on first use and
cached locally for subsequent calls. Returns tidy long-format
data frames ready for analysis and visualisation.</description><link>https://github.com/r-universe/charlescoverdale/actions/runs/26868099351</link><pubDate>Mon, 04 May 2026 19:11:35 GMT</pubDate><r:package>readoecd</r:package><r:version>0.3.4</r:version><r:status>success</r:status><r:repository>https://charlescoverdale.r-universe.dev</r:repository><r:upstream>https://github.com/charlescoverdale/readoecd</r:upstream></item><item><title>[charlescoverdale] readecb 0.1.3</title><author>charlesfcoverdale@gmail.com (Charles Coverdale)</author><description>Provides clean, tidy access to statistical data published
by the 'European Central Bank' ('ECB') via the 'ECB Data
Portal' API &lt;https://data.ecb.europa.eu&gt;. Covers policy
interest rates, 'EURIBOR', euro exchange rates, harmonised
consumer price inflation ('HICP'), euro area yield curves, the
euro short-term rate ('ESTR'), monetary aggregates (M1, M2,
M3), mortgage and lending rates, GDP, unemployment, and
government debt-to-GDP. Each dataset has a dedicated function
that abstracts away the underlying 'SDMX' key structure, so
users do not need to know series codes. A generic fetcher is
also provided for direct access to any of the 'ECB' 100-plus
dataflows. Data is downloaded on first use and cached locally
for subsequent calls.</description><link>https://github.com/r-universe/charlescoverdale/actions/runs/26868125420</link><pubDate>Mon, 04 May 2026 19:11:34 GMT</pubDate><r:package>readecb</r:package><r:version>0.1.3</r:version><r:status>success</r:status><r:repository>https://charlescoverdale.r-universe.dev</r:repository><r:upstream>https://github.com/charlescoverdale/readecb</r:upstream></item><item><title>[charlescoverdale] hmrc 0.4.0</title><author>charlesfcoverdale@gmail.com (Charles Coverdale)</author><description>Provides functions to download, parse, and tidy
statistical data published by 'HM Revenue and Customs' ('HMRC')
on 'GOV.UK'. Returns annotated 'hmrc_tbl' data frames with
provenance metadata (source URL, fetch time, vintage, cell
methods) for reproducible fiscal research. Covers monthly tax
receipts (41 tax heads from 2008), 'VAT' (from 1973), fuel
duties (from 1990), tobacco duties (from 1991), annual
'Corporation Tax' receipts, stamp duty, research and
development tax credit statistics (from 2000), tax gap
estimates, 'Income Tax' liabilities by income range, and
monthly property transaction counts. File URLs are resolved at
runtime via the 'GOV.UK' Content API
&lt;https://www.gov.uk/api/content&gt;, so data is always current
without hardcoded URLs. Files are cached locally between
sessions.</description><link>https://github.com/r-universe/charlescoverdale/actions/runs/25338784182</link><pubDate>Mon, 04 May 2026 19:11:18 GMT</pubDate><r:package>hmrc</r:package><r:version>0.4.0</r:version><r:status>success</r:status><r:repository>https://charlescoverdale.r-universe.dev</r:repository><r:upstream>https://github.com/charlescoverdale/hmrc</r:upstream><r:article><r:source>uk-tax-receipts.Rmd</r:source><r:filename>uk-tax-receipts.html</r:filename><r:title>Getting UK tax data with hmrc</r:title><r:created>2026-03-08 11:11:51</r:created><r:modified>2026-04-26 12:52:17</r:modified></r:article></item><item><title>[charlescoverdale] ons 0.1.4</title><author>charlesfcoverdale@gmail.com (Charles Coverdale)</author><description>Provides functions to download and tidy statistical data
published by the 'Office for National Statistics'
&lt;https://www.ons.gov.uk&gt;. Covers GDP, inflation (CPI, CPIH,
RPI), unemployment, employment, wages, trade, retail sales,
house prices, productivity, population, and public sector
finances. Most series are fetched from the 'ONS' website using
its CSV time series endpoint. House price data is sourced from
'HM Land Registry'
&lt;https://www.gov.uk/government/organisations/land-registry&gt;.
Data is cached locally between sessions.</description><link>https://github.com/r-universe/charlescoverdale/actions/runs/26868152066</link><pubDate>Mon, 04 May 2026 19:11:15 GMT</pubDate><r:package>ons</r:package><r:version>0.1.4</r:version><r:status>success</r:status><r:repository>https://charlescoverdale.r-universe.dev</r:repository><r:upstream>https://github.com/charlescoverdale/ons</r:upstream></item><item><title>[charlescoverdale] readaec 0.1.3</title><author>charlesfcoverdale@gmail.com (Charles Coverdale)</author><description>Provides clean, tidy access to Australian Electoral
Commission (AEC) federal election data. Includes results for
the House of Representatives and Senate from 2007 onwards, at
both division and polling place level. Data is downloaded
directly from the AEC &lt;https://results.aec.gov.au&gt; on first use
and cached locally for subsequent calls.</description><link>https://github.com/r-universe/charlescoverdale/actions/runs/26806937501</link><pubDate>Fri, 24 Apr 2026 13:41:04 GMT</pubDate><r:package>readaec</r:package><r:version>0.1.3</r:version><r:status>success</r:status><r:repository>https://charlescoverdale.r-universe.dev</r:repository><r:upstream>https://github.com/charlescoverdale/readaec</r:upstream><r:article><r:source>richmond-example.Rmd</r:source><r:filename>richmond-example.html</r:filename><r:title>Case study: Richmond electorate (2001–2025)</r:title><r:created>2026-02-28 15:09:01</r:created><r:modified>2026-02-28 15:20:42</r:modified></r:article></item></channel></rss>