Sun, 01 Nov 2026

Package yrnd updated to version 0.1.8 with previous version 0.1.7 dated 2026-09-30

Title: Extracts Risk Neutral Densities of Prices, Money Market Rates and Government Bond Yields from Interest Rates Futures Options Prices
Description: Provides with parametric Risk Neutral Densities (RNDs) and cumulative densities of futures prices on fixed-income products, relying on options on Short Term Interest Rate futures or options on government bond futures. It models the futures price at options' maturity as a mixture of lognormal densities. Leveraging on this, the package provides with the RNDs and cumulative densities of the money market rate or the government bond yield inferred from the futures price, using the RND of the futures price. The package also extracts from options prices on bond futures in one go the RND of the cheapest-to-deliver (ctd) bond repo rate from options' to futures' maturity and the RND of the ctd bond yield at options' maturity. The package also provides with the probability attached to each bond in the delivery basket of a government bond futures to be the cheapest at options' maturity from an examination of either the implied repo rate or the net basis of bonds in the delivery basket, as well as [...truncated...]
Author: William Arrata [aut, cre]
Maintainer: William Arrata <william.arrata@gmail.com>

Diff between yrnd versions 0.1.7 dated 2026-09-30 and 0.1.8 dated 2026-11-01

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Package banter updated to version 0.9.81 with previous version 0.9.8 dated 2025-06-11

Title: BioAcoustic eveNT classifiER
Description: Create a hierarchical acoustic event species classifier out of multiple call type detectors as described in Rankin et al (2017) <doi:10.1111/mms.12381>.
Author: Eric Archer [aut, cre], Shannon Rankin [aut]
Maintainer: Eric Archer <eric.ivan.archer@gmail.com>

Diff between banter versions 0.9.8 dated 2025-06-11 and 0.9.81 dated 2026-11-01

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Package ManifoldOptim updated to version 1.0.3 with previous version 1.0.2 dated 2026-07-12

Title: An R Interface to the 'ROPTLIB' Library for Riemannian Manifold Optimization
Description: An R interface to version 0.3 of the 'ROPTLIB' optimization library (see <https://www.math.fsu.edu/~whuang2/> for more information). Optimize real-valued functions over manifolds such as Stiefel, Grassmann, and symmetric positive definite matrices. For details see Martin et al. (2020) <doi:10.18637/jss.v093.i01>. Note that the optional 'ldr' package used in some of this package's examples can be obtained from either the article <doi:10.18637/jss.v061.i03> or from the 'ldr' package <https://cran.r-project.org/package=ldr>.
Author: Kofi P. Adragni [aut, cph], Sean R. Martin [aut, cre, cph], Andrew M. Raim [aut, cph], Wen Huang [aut, cph]
Maintainer: Sean R. Martin <sean.martin@jhuapl.edu>

Diff between ManifoldOptim versions 1.0.2 dated 2026-07-12 and 1.0.3 dated 2026-11-01

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Package forecastdom updated to version 0.1.1 with previous version 0.1.0 dated 2026-07-24

Title: (Un)Conditional Forecast Dominance
Description: A unified toolkit for out-of-sample forecast dominance testing. Covers unconditional and conditional equal and superior predictive ability, encompassing, and nested-model comparison. Implements the Diebold-Mariano test with the Harvey, Leybourne, and Newbold (1997) <doi:10.1016/S0169-2070(96)00719-4> small-sample correction; the Clark-West mean squared forecast error (MSFE) adjusted statistic (Clark and West, 2007) <doi:10.1016/j.jeconom.2006.05.023>; the ENC-NEW encompassing test of Clark and McCracken (2001) <doi:10.1016/S0304-4076(01)00071-9>; the Giacomini-White conditional equal predictive ability test (Giacomini and White, 2006) <doi:10.1111/j.1468-0262.2006.00718.x>; Hansen's superior predictive ability (SPA) test (Hansen, 2005) <doi:10.1198/073500105000000063>; the conditional superior predictive ability test of Li, Liao, and Quaedvlieg (2022) <doi:10.1093/restud/rdab039>; and the uniform and average multi-horizon SPA tests of Quaedvlieg (202 [...truncated...]
Author: Gabriel Cabrera [aut, cre]
Maintainer: Gabriel Cabrera <gabriel.cabrera.guz@gmail.com>

Diff between forecastdom versions 0.1.0 dated 2026-07-24 and 0.1.1 dated 2026-11-01

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Package readimf updated to version 0.1.1 with previous version 0.1.0 dated 2026-06-15

Title: Access International Monetary Fund Data via the 'SDMX' 3.0 API
Description: Download macroeconomic and financial statistics from the International Monetary Fund data portal (<https://data.imf.org>), served through an 'SDMX' 3.0 REST API. Provides a tidy interface to the Fund's flagship databases, beginning with the World Economic Outlook, and reads the compact 'SDMX-CSV' representation of each query for fast, dependency-light parsing.
Author: Charles Coverdale [aut, cre]
Maintainer: Charles Coverdale <charlesfcoverdale@gmail.com>

Diff between readimf versions 0.1.0 dated 2026-06-15 and 0.1.1 dated 2026-11-01

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Package ons updated to version 0.1.5 with previous version 0.1.4 dated 2026-09-09

Title: Download Data from the 'Office for National Statistics'
Description: Provides functions to download and tidy statistical data published by the 'Office for National Statistics' <https://www.ons.gov.uk>. 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' <https://www.gov.uk/government/organisations/land-registry>. Data is cached locally between sessions.
Author: Charles Coverdale [aut, cre]
Maintainer: Charles Coverdale <charlesfcoverdale@gmail.com>

Diff between ons versions 0.1.4 dated 2026-09-09 and 0.1.5 dated 2026-11-01

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Package inflationkit updated to version 0.1.1 with previous version 0.1.0 dated 2026-03-26

Title: Inflation Decomposition, Core Measures, and Trend Estimation
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.
Author: Charles Coverdale [aut, cre]
Maintainer: Charles Coverdale <charlesfcoverdale@gmail.com>

Diff between inflationkit versions 0.1.0 dated 2026-03-26 and 0.1.1 dated 2026-11-01

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Package inflateR updated to version 0.2.1 with previous version 0.2.0 dated 2026-09-09

Title: Inflation Adjustment for Historical Currency Values
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.
Author: Charles Coverdale [aut, cre]
Maintainer: Charles Coverdale <charlesfcoverdale@gmail.com>

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Package inequality updated to version 0.2.1 with previous version 0.2.0 dated 2026-09-08

Title: Inequality Measurement, Decomposition, and Poverty Analysis
Description: Tools for measuring income and wealth inequality. Computes the Gini coefficient with bootstrap or asymptotic confidence intervals following Davidson (2009) <doi:10.1016/j.jeconom.2008.11.004>, 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) <doi:10.2307/1914138>, 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) <doi:10.1016/S0165-1765(02)00205-7>, and Wolfson polarisation. All functions accept optional survey weights and work with data from any source.
Author: Charles Coverdale [aut, cre]
Maintainer: Charles Coverdale <charlesfcoverdale@gmail.com>

Diff between inequality versions 0.2.0 dated 2026-09-08 and 0.2.1 dated 2026-11-01

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Package climatekit updated to version 0.2.3 with previous version 0.2.2 dated 2026-09-09

Title: Unified Climate Indices for Temperature, Precipitation, and Drought
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) <doi:10.1029/2005JD006290>; Zhang et al. (201 [...truncated...]
Author: Charles Coverdale [aut, cre]
Maintainer: Charles Coverdale <charlesfcoverdale@gmail.com>

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Package carbondata updated to version 0.2.1 with previous version 0.2.0 dated 2026-09-09

Title: Access Carbon Market Data from Emissions Trading Systems and Voluntary Registries
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 <https://icapcarbonaction.com/en/ets-prices>, global carbon pricing from the World Bank Carbon Pricing Dashboard <https://carbonpricingdashboard.worldbank.org/>, and the historical 'RFF' World Carbon Pricing Database following Dolphin, Pollitt and Newbery (2020) <doi:10.1038/s41597-022-01659-x>. Data is downloaded from public sources on first use and cached locally.
Author: Charles Coverdale [aut, cre]
Maintainer: Charles Coverdale <charlesfcoverdale@gmail.com>

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 man/co2_ukets_allocations.Rd     |   12 ++++----
 man/co2_vrod.Rd                  |    6 ++--
 man/co2_world_bank.Rd            |   10 +++---
 tests/testthat/test-compliance.R |   14 +++++++++
 29 files changed, 236 insertions(+), 151 deletions(-)

More information about carbondata at CRAN
Permanent link

Package ato updated to version 0.1.2 with previous version 0.1.1 dated 2026-09-08

Title: Download and Tidy Australian Taxation Office Data
Description: Fetch Australian Taxation Office (ATO) Taxation Statistics and related datasets via the data.gov.au Comprehensive Knowledge Archive Network ('CKAN') API <https://data.gov.au/data/api/3/>. 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 Petroleum Resource Rent Tax, Medicare Levy Surcharge, and fuel tax credit 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 [...truncated...]
Author: Charles Coverdale [aut, cre]
Maintainer: Charles Coverdale <charlesfcoverdale@gmail.com>

Diff between ato versions 0.1.1 dated 2026-09-08 and 0.1.2 dated 2026-11-01

 DESCRIPTION                              |    8 -
 MD5                                      |  128 +++++++++++++++----------------
 NEWS.md                                  |   53 ++++++++++++
 R/deflate.R                              |    2 
 R/reconcile.R                            |   14 +--
 R/utils.R                                |   38 ++++++++-
 inst/doc/methodology.R                   |    4 
 inst/doc/methodology.Rmd                 |   23 ++---
 inst/doc/methodology.html                |   61 +++++++-------
 inst/extdata/abs_cpi_annual.csv          |   62 +++++++--------
 inst/extdata/abs_erp_annual.csv          |   63 +++++++--------
 inst/extdata/budget_reference_totals.csv |   76 +++++++++++++-----
 man/ato-package.Rd                       |    5 +
 man/ato_cache_info.Rd                    |    6 -
 man/ato_catalog.Rd                       |   28 +++---
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 man/ato_clear_cache.Rd                   |    6 -
 man/ato_compliance.Rd                    |   20 ++--
 man/ato_crosswalk.Rd                     |   14 +--
 man/ato_deflate.Rd                       |   14 +--
 man/ato_deposit_zenodo.Rd                |   12 +-
 man/ato_division293.Rd                   |   20 ++--
 man/ato_download.Rd                      |   28 +++---
 man/ato_excise.Rd                        |   28 +++---
 man/ato_fbt.Rd                           |   28 +++---
 man/ato_fuel_tax_credits.Rd              |   20 ++--
 man/ato_gst.Rd                           |    4 
 man/ato_harmonise.Rd                     |   14 +--
 man/ato_help.Rd                          |   28 +++---
 man/ato_individuals.Rd                   |   12 +-
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 man/ato_individuals_occupation.Rd        |   12 +-
 man/ato_individuals_postcode.Rd          |   12 +-
 man/ato_individuals_sex.Rd               |   12 +-
 man/ato_individuals_state.Rd             |   12 +-
 man/ato_industry.Rd                      |    4 
 man/ato_international.Rd                 |   20 ++--
 man/ato_irpd.Rd                          |   28 +++---
 man/ato_manifest.Rd                      |   12 +-
 man/ato_manifest_clear.Rd                |   12 +-
 man/ato_manifest_write.Rd                |   12 +-
 man/ato_medicare_levy.Rd                 |   20 ++--
 man/ato_meta.Rd                          |    6 -
 man/ato_payg.Rd                          |   28 +++---
 man/ato_per_capita.Rd                    |   16 +--
 man/ato_prrt.Rd                          |   20 ++--
 man/ato_rba.Rd                           |   20 ++--
 man/ato_rdti.Rd                          |   28 +++---
 man/ato_reconcile.Rd                     |   24 +++--
 man/ato_schema_map.Rd                    |   14 +--
 man/ato_sha256.Rd                        |   12 +-
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 man/ato_snapshot.Rd                      |   12 +-
 man/ato_state_tax.Rd                     |   20 ++--
 man/ato_tax_expenditures.Rd              |   20 ++--
 man/ato_tax_gaps.Rd                      |   28 +++---
 man/ato_to_taxstats.Rd                   |   14 +--
 man/ato_top_taxpayers.Rd                 |   28 +++---
 man/ato_vttc.Rd                          |   28 +++---
 man/ato_whm.Rd                           |   20 ++--
 tests/testthat/test-deflate.R            |    4 
 tests/testthat/test-reconcile.R          |   17 +++-
 tests/testthat/test-utils.R              |   18 ++++
 vignettes/methodology.Rmd                |   23 ++---
 65 files changed, 818 insertions(+), 653 deletions(-)

More information about ato at CRAN
Permanent link

Package readoecd updated to version 0.3.5 with previous version 0.3.4 dated 2026-09-09

Title: Download and Tidy Data from the 'OECD'
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 <https://data-explorer.oecd.org> on first use and cached locally for subsequent calls. Returns tidy long-format data frames ready for analysis and visualisation.
Author: Charles Coverdale [aut, cre]
Maintainer: Charles Coverdale <charlesfcoverdale@gmail.com>

Diff between readoecd versions 0.3.4 dated 2026-09-09 and 0.3.5 dated 2026-11-01

 DESCRIPTION                     |    8 ++---
 MD5                             |   58 ++++++++++++++++++++--------------------
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 R/cpi.R                         |    2 -
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 R/productivity.R                |    2 -
 R/tax.R                         |    2 -
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 man/check_oecd_api.Rd           |    6 ++--
 man/clear_oecd_cache.Rd         |   10 ++++--
 man/get_oecd_cpi.Rd             |    6 ++--
 man/get_oecd_current_account.Rd |    4 +-
 man/get_oecd_deficit.Rd         |    4 +-
 man/get_oecd_education.Rd       |    6 ++--
 man/get_oecd_gdp.Rd             |    6 ++--
 man/get_oecd_health.Rd          |    6 ++--
 man/get_oecd_inequality.Rd      |    6 ++--
 man/get_oecd_productivity.Rd    |    4 +-
 man/get_oecd_tax.Rd             |    4 +-
 man/get_oecd_unemployment.Rd    |    6 ++--
 man/list_oecd_countries.Rd      |    6 ++--
 man/readoecd-package.Rd         |    5 +++
 tests/testthat/test-utils.R     |   27 ++++++++++++++++++
 30 files changed, 172 insertions(+), 80 deletions(-)

More information about readoecd at CRAN
Permanent link

Package readnoaa updated to version 0.2.2 with previous version 0.2.1 dated 2026-09-09

Title: Access 'NOAA' Climate and Weather Data
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 <https://www.ncei.noaa.gov/support/access-data-service-api-user-documentation>. 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'.
Author: Charles Coverdale [aut, cre, cph]
Maintainer: Charles Coverdale <charlesfcoverdale@gmail.com>

Diff between readnoaa versions 0.2.1 dated 2026-09-09 and 0.2.2 dated 2026-11-01

 DESCRIPTION                   |    8 +-
 MD5                           |   40 ++++++------
 NEWS.md                       |   26 +++++++
 R/get.R                       |   10 ++-
 R/normals.R                   |   14 +++-
 README.md                     |  137 +++++++++++++++++++++++-------------------
 inst/CITATION                 |    2 
 man/cache_info.Rd             |   10 +--
 man/clear_cache.Rd            |   10 +--
 man/list_datasets.Rd          |   10 +--
 man/list_datatypes.Rd         |   10 +--
 man/noaa_annual.Rd            |    8 +-
 man/noaa_coverage.Rd          |    6 -
 man/noaa_daily.Rd             |    8 +-
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 man/noaa_monthly.Rd           |    8 +-
 man/noaa_nearby.Rd            |    6 -
 man/noaa_normals.Rd           |   18 +++--
 man/noaa_stations.Rd          |    6 -
 man/readnoaa-package.Rd       |    5 +
 tests/testthat/test-normals.R |   27 ++++++++
 21 files changed, 240 insertions(+), 145 deletions(-)

More information about readnoaa at CRAN
Permanent link

Package readecb updated to version 0.1.5 with previous version 0.1.4 dated 2026-09-09

Title: Access 'European Central Bank' Data
Description: Provides clean, tidy access to statistical data published by the 'European Central Bank' ('ECB') via the 'ECB Data Portal' API <https://data.ecb.europa.eu>. 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.
Author: Charles Coverdale [aut, cre]
Maintainer: Charles Coverdale <charlesfcoverdale@gmail.com>

Diff between readecb versions 0.1.4 dated 2026-09-09 and 0.1.5 dated 2026-11-01

 DESCRIPTION                    |    8 ++---
 MD5                            |   60 ++++++++++++++++++++---------------------
 NEWS.md                        |   41 ++++++++++++++++++++++++++++
 R/ecb_gdp.R                    |    2 -
 R/ecb_government_debt.R        |    2 -
 R/ecb_hicp.R                   |   52 ++++++++++++++++++++++++++++-------
 R/ecb_unemployment.R           |    2 -
 R/list_helpers.R               |   10 ++++++
 R/utils.R                      |   25 +++++++++++++++--
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 man/clear_cache.Rd             |    8 ++---
 man/ecb_estr.Rd                |    6 ++--
 man/ecb_euribor.Rd             |    6 ++--
 man/ecb_exchange_rate.Rd       |    4 +-
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 man/ecb_hicp.Rd                |   16 ++++++++--
 man/ecb_lending_rates.Rd       |    6 ++--
 man/ecb_money_supply.Rd        |    6 ++--
 man/ecb_mortgage_rates.Rd      |    6 ++--
 man/ecb_policy_rates.Rd        |    6 ++--
 man/ecb_unemployment.Rd        |    6 ++--
 man/ecb_yield_curve.Rd         |    8 ++---
 man/list_ecb_dataflows.Rd      |    8 ++---
 man/list_exchange_rates.Rd     |    4 +-
 man/readecb-package.Rd         |    5 +++
 tests/testthat/test-cache.R    |   22 +++++++++++++++
 tests/testthat/test-ecb_gdp.R  |   10 ++++++
 tests/testthat/test-ecb_hicp.R |   33 ++++++++++++++++++++++
 31 files changed, 299 insertions(+), 116 deletions(-)

More information about readecb at CRAN
Permanent link

Package obr updated to version 0.6.3 with previous version 0.6.2 dated 2026-08-24

Title: Access 'Office for Budget Responsibility' Data
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 monthly profiles for the public finances (the 'OBR' forecast apportioned across the months of the fiscal year), and the Welfare Trends Report (incapacity benefit spending and caseloads). 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 <https://obr.uk>.
Author: Charles Coverdale [aut, cre]
Maintainer: Charles Coverdale <charlesfcoverdale@gmail.com>

Diff between obr versions 0.6.2 dated 2026-08-24 and 0.6.3 dated 2026-11-01

 DESCRIPTION                           |   10 -
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 NAMESPACE                             |    6 
 NEWS.md                               |   93 +++++++++++
 R/efo.R                               |    4 
 R/efo_catalogue.R                     |   10 -
 R/efo_dispatcher.R                    |   83 +++------
 R/forecasts.R                         |   26 ++-
 R/policy_measures.R                   |   10 -
 R/public_finances.R                   |   32 +++
 R/tbl.R                               |   13 +
 R/utils.R                             |   84 ++++++---
 R/vintages.R                          |    4 
 R/welfare.R                           |   51 ++++--
 README.md                             |  286 ++++++++++++++++++++++------------
 inst/doc/vintages.html                |   14 -
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 man/get_efo_economy.Rd                |   12 -
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 man/obr_pin.Rd                        |   10 -
 man/obr_pinned.Rd                     |   10 -
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 man/policy_measures_summary.Rd        |    4 
 tests/testthat/test-efo-table.R       |   29 ++-
 tests/testthat/test-forecasts.R       |   19 ++
 tests/testthat/test-public-finances.R |    6 
 tests/testthat/test-tbl.R             |   11 +
 tests/testthat/test-utils.R           |   41 ++++
 tests/testthat/test-vintages.R        |    4 
 tests/testthat/test-welfare.R         |   12 +
 54 files changed, 816 insertions(+), 450 deletions(-)

More information about obr at CRAN
Permanent link

Package hmrc updated to version 0.4.1 with previous version 0.4.0 dated 2026-04-26

Title: Download and Tidy 'HMRC' Statistical Data
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, publication date, fetch time, cell methods) for reproducible fiscal research. Covers monthly tax receipts (42 series), 'VAT' (from 1973), fuel duties (from 1990), tobacco duties (from 1991), 'Corporation Tax' receipts, stamp duty, research and development tax credits (from 2000), tax gap estimates (from 2005), 'Income Tax' liabilities by income range, Capital Gains Tax, Inheritance Tax, the Patent Box, creative industries reliefs, and monthly property transaction counts. File URLs are resolved at runtime via the 'GOV.UK' Content API <https://www.gov.uk/api/content>, so data is always current without hardcoded URLs. Files are cached locally between sessions.
Author: Charles Coverdale [aut, cre]
Maintainer: Charles Coverdale <charlesfcoverdale@gmail.com>

Diff between hmrc versions 0.4.0 dated 2026-04-26 and 0.4.1 dated 2026-11-01

 DESCRIPTION                                      |   26 -
 MD5                                              |  145 +++----
 NEWS.md                                          |  110 +++++
 R/data.R                                         |   11 
 R/deprec.R                                       |    2 
 R/hmrc-package.R                                 |   40 -
 R/hmrc-tbl.R                                     |   25 -
 R/hmrc_cache_info.R                              |    2 
 R/hmrc_capital_gains.R                           |  145 +++----
 R/hmrc_clear_cache.R                             |    6 
 R/hmrc_corporation_tax.R                         |   41 +
 R/hmrc_creative_industries.R                     |  161 ++++---
 R/hmrc_fuel_duties.R                             |  124 ++----
 R/hmrc_income_tax_stats.R                        |  114 +++--
 R/hmrc_inheritance_tax.R                         |   52 +-
 R/hmrc_list_tax_heads.R                          |    4 
 R/hmrc_patent_box.R                              |   62 +--
 R/hmrc_property_transactions.R                   |   65 +--
 R/hmrc_rd_credits.R                              |  128 +++---
 R/hmrc_stamp_duty.R                              |   89 ++--
 R/hmrc_tax_gap.R                                 |  174 +++++---
 R/hmrc_tax_receipts.R                            |  102 +++-
 R/hmrc_tobacco_duties.R                          |  102 +---
 R/hmrc_vat.R                                     |   87 +---
 R/utils-dates.R                                  |    2 
 R/utils-govuk-api.R                              |  102 +++-
 R/utils-parse.R                                  |only
 README.md                                        |  475 ++++++++++++-----------
 data/catalogue.rda                               |binary
 data/tax_heads.rda                               |binary
 inst/WORDLIST                                    |  138 +++---
 inst/doc/uk-tax-receipts.R                       |   33 -
 inst/doc/uk-tax-receipts.Rmd                     |   73 +--
 inst/doc/uk-tax-receipts.html                    |   80 +--
 man/hmrc-package.Rd                              |   45 +-
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 man/hmrc_meta.Rd                                 |   25 -
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 man/hmrc_property_transactions.Rd                |   41 +
 man/hmrc_publications.Rd                         |   12 
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 man/hmrc_stamp_duty.Rd                           |   45 +-
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 man/hmrc_tax_receipts.Rd                         |   51 +-
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 man/hmrc_vat.Rd                                  |   36 -
 man/tax_heads.Rd                                 |   11 
 tests/testthat/setup.R                           |only
 tests/testthat/test-hmrc_capital_gains.R         |   17 
 tests/testthat/test-hmrc_clear_cache.R           |    2 
 tests/testthat/test-hmrc_corporation_tax.R       |   12 
 tests/testthat/test-hmrc_creative_industries.R   |   61 ++
 tests/testthat/test-hmrc_fuel_duties.R           |   22 +
 tests/testthat/test-hmrc_income_tax_stats.R      |   14 
 tests/testthat/test-hmrc_inheritance_tax.R       |   14 
 tests/testthat/test-hmrc_list_tax_heads.R        |    1 
 tests/testthat/test-hmrc_patent_box.R            |    4 
 tests/testthat/test-hmrc_property_transactions.R |   12 
 tests/testthat/test-hmrc_rd_credits.R            |   33 +
 tests/testthat/test-hmrc_stamp_duty.R            |   17 
 tests/testthat/test-hmrc_tax_gap.R               |   32 +
 tests/testthat/test-hmrc_tax_receipts.R          |   15 
 tests/testthat/test-hmrc_tobacco_duties.R        |   16 
 tests/testthat/test-hmrc_vat.R                   |   15 
 tests/testthat/test-utils-parse.R                |only
 vignettes/uk-tax-receipts.Rmd                    |   73 +--
 75 files changed, 2249 insertions(+), 1644 deletions(-)

More information about hmrc at CRAN
Permanent link

Package HGNChelper updated to version 0.8.16 with previous version 0.8.15 dated 2024-11-16

Title: Identify and Correct Invalid HGNC Human Gene Symbols and MGI Mouse Gene Symbols
Description: Contains functions for identifying and correcting HGNC human gene symbols and MGI mouse gene symbols which have been converted to date format by Excel, withdrawn, or aliased. Also contains functions for reversibly converting between HGNC symbols and valid R names.
Author: Sehyun Oh [aut], Ayush Aggarwal [aut], Markus Riester [aut], Levi Waldron [aut, cre]
Maintainer: Levi Waldron <lwaldron.research@gmail.com>

Diff between HGNChelper versions 0.8.15 dated 2024-11-16 and 0.8.16 dated 2026-11-01

 DESCRIPTION                            |   10 +++++-----
 MD5                                    |   26 +++++++++++++-------------
 NEWS                                   |    5 +++++
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 build/vignette.rds                     |binary
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 inst/extdata/date_of_last_update.txt   |    2 +-
 man/HGNChelper-package.Rd              |    1 +
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 man/mouse.table.Rd                     |    6 +++---
 tests/testthat/test_checkGeneSymbols.R |    4 ++--
 14 files changed, 45 insertions(+), 39 deletions(-)

More information about HGNChelper at CRAN
Permanent link

Package greenbook updated to version 0.2.0 with previous version 0.1.1 dated 2026-08-24

Title: HM Treasury Green Book Cost-Benefit Analysis Primitives
Description: Implements cost-benefit analysis primitives from HM Treasury Green Book guidance (HM Treasury, 2026): the kinked Social Time Preference Rate (STPR) as revised in October 2026, with the earlier schedule retained for reproducibility, 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.
Author: Charles Coverdale [aut, cre]
Maintainer: Charles Coverdale <charlesfcoverdale@gmail.com>

Diff between greenbook versions 0.1.1 dated 2026-08-24 and 0.2.0 dated 2026-11-01

 DESCRIPTION                          |   13 +--
 MD5                                  |  126 +++++++++++++++++------------------
 NAMESPACE                            |   12 +--
 NEWS.md                              |   56 +++++++++++++++
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 R/discounting.R                      |   35 ++++++---
 R/distributional.R                   |   27 ++++---
 R/lookups.R                          |   13 ++-
 R/reporting.R                        |    3 
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 R/validate.R                         |    7 +
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 inst/CITATION                        |    2 
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 inst/extdata/data_versions.csv       |   12 +--
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 man/gb_apply_ob.Rd                   |    6 -
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Package fred updated to version 0.3.2 with previous version 0.3.1 dated 2026-09-09

Title: Access 'Federal Reserve Economic Data'
Description: Provides clean, tidy access to economic data from the 'Federal Reserve Economic Data' ('FRED') API <https://fred.stlouisfed.org/docs/api/fred/>. '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 [...truncated...]
Author: Charles Coverdale [aut, cre]
Maintainer: Charles Coverdale <charlesfcoverdale@gmail.com>

Diff between fred versions 0.3.1 dated 2026-09-09 and 0.3.2 dated 2026-11-01

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Package debtkit updated to version 0.1.4 with previous version 0.1.3 dated 2026-09-08

Title: Debt Sustainability Analysis and Fiscal Risk Assessment
Description: Analyses government debt sustainability using the standard debt dynamics framework from Blanchard (1990) <doi:10.1787/435618162862> 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) <doi:10.1162/003355398555793>. 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.
Author: Charles Coverdale [aut, cre]
Maintainer: Charles Coverdale <charlesfcoverdale@gmail.com>

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Package aemo updated to version 0.4.3 with previous version 0.4.2 dated 2026-09-09

Title: Download Australian Energy Market Operator Data
Description: Fetch Australian Energy Market Operator (AEMO) public data from 'NEMweb' <http://nemweb.com.au> 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 <https://www.aemo.com.au/privacy-and-legal-notices/copyright-permissions>.
Author: Charles Coverdale [aut, cre]
Maintainer: Charles Coverdale <charlesfcoverdale@gmail.com>

Diff between aemo versions 0.4.2 dated 2026-09-09 and 0.4.3 dated 2026-11-01

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Package FLORAL updated to version 0.7.1 with previous version 0.7.0 dated 2026-02-07

Title: Fit Log-Ratio Lasso Regression for Compositional Data
Description: Log-ratio Lasso regression for continuous, binary, and survival outcomes with (longitudinal) compositional features. See Fei and others (2024) <doi:10.1016/j.crmeth.2024.100899>.
Author: Teng Fei [aut, cre, cph] , Tyler Funnell [aut] , Nicholas Waters [aut] , Sandeep Raj [aut]
Maintainer: Teng Fei <feit1@mskcc.org>

Diff between FLORAL versions 0.7.0 dated 2026-02-07 and 0.7.1 dated 2026-11-01

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Package MatchIt updated to version 4.8.2 with previous version 4.8.1 dated 2026-09-26

Title: Nonparametric Preprocessing for Parametric Causal Inference
Description: Selects matched samples of the original treated and control groups with similar covariate distributions -- can be used to match exactly on covariates, to match on propensity scores, or perform a variety of other matching procedures. The package also implements a series of recommendations offered in Ho, Imai, King, and Stuart (2007) <DOI:10.1093/pan/mpl013>. (The 'gurobi' package, which is not on CRAN, is optional and comes with an installation of the Gurobi Optimizer, available at <https://www.gurobi.com>.)
Author: Daniel Ho [aut] , Kosuke Imai [aut] , Gary King [aut] , Elizabeth Stuart [aut] , Alex Whitworth [ctb], Noah Greifer [cre, aut]
Maintainer: Noah Greifer <noah.greifer@gmail.com>

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Package ConconiAnaerobicThresholdTest updated to version 1.1.0 with previous version 1.0.0 dated 2024-01-22

Title: Conconi Estimate of Anaerobic Threshold from a TCX File
Description: Analyzes data from a Conconi et al. (1996) <doi:10.1055/s-2007-972887> treadmill fitness test where speed is augmented by a constant amount every set number of seconds to estimate the anaerobic (lactate) threshold speed and heart rate. It reads a TCX file, allows optional removal observations from before and after the actual test, fits a change-point linear model where the change-point is the estimate of the lactate threshold, and plots the data points and fit model. Details of administering the fitness test are provided in the package vignette. Functions work by default for Garmin Connect TCX exports but may require additional data preparation for heart rate, time, and speed data from other sources.
Author: Levi Waldron [aut, cre]
Maintainer: Levi Waldron <lwaldron.research@gmail.com>

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Package spicy updated to version 0.14.1 with previous version 0.14.0 dated 2026-10-31

Title: Publication-Ready Tables for Descriptive Statistics and Regression Models
Description: Provides publication-ready tables for descriptive statistics and regression models: frequency tables and cross-tabulations with association measures (Cramér's V, Kendall's Tau-b, and others), categorical and continuous summary tables, by group or from a complex survey design, and regression tables for one or more models side by side, across more than thirty model classes from mixed-effects to survival and Bayesian, with robust standard errors, average marginal effects, and univariable screening. Tables follow APA conventions by default, can switch to named journal styles such as JAMA, NEJM, or The Lancet, and render identically in the console and in 'gt', 'tinytable', 'flextable', 'Word', 'Excel', or the clipboard. Declared missing values in labelled data are honored and disclosed throughout the descriptive tables. Helpers cover codebooks, variable inspection, and row-wise summaries.
Author: Amal Tawfik [aut, cre, cph]
Maintainer: Amal Tawfik <amal.tawfik@hesav.ch>

Diff between spicy versions 0.14.0 dated 2026-10-31 and 0.14.1 dated 2026-11-01

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Package randomForestSRC updated to version 3.10.0 with previous version 3.9.0 dated 2026-09-22

Title: Fast Unified Random Forests for Survival, Regression, and Classification (RF-SRC)
Description: Fast OpenMP parallel computing of Breiman's random forests for univariate, multivariate, unsupervised, survival, competing risks, class imbalanced classification and quantile regression. New Mahalanobis splitting for correlated outcomes. Extreme random forests and randomized splitting. Suite of imputation methods for missing data. Fast random forests using subsampling. Confidence regions and standard errors for variable importance. New improved holdout importance. Case-specific importance. Minimal depth variable importance. Visualize trees on your Safari or Google Chrome browser. Anonymous random forests for data privacy.
Author: Hemant Ishwaran [aut], Udaya B. Kogalur [aut, cre]
Maintainer: Udaya B. Kogalur <ubk@kogalur.com>

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Package OECDdata updated to version 0.3.4 with previous version 0.2.5 dated 2026-10-30

Title: Fast and Friendly Access to OECD Data
Description: Discover, describe, compare and import statistical datasets from the Organisation for Economic Co-operation and Development (OECD) via its public Statistical Data and Metadata eXchange (SDMX) Representational State Transfer (REST) API <https://sdmx.oecd.org/public/>. Adapts the discovery workflow of 'eurodata' to OECD-native names, catalogue-resolved short codes and dataset-scoped metadata. Uses SDMX REST version 2 by default, streamed downloads, native 'data.table' parsing, defensive bulk C XML extraction, indexed structural metadata resolution, caching and bounded HTTP retries. Includes an explicit version 1 transport for interoperability.
Author: Alek Rutkowski [aut, cre, cph]
Maintainer: Alek Rutkowski <alek.rutkowski@gmail.com>

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Package newmark updated to version 1.10.0 with previous version 1.9.0 dated 2026-10-24

Title: Uncertainty Analysis in Dynamic Site and Slope Response
Description: Estimates the seismic response of sites and slopes from the results of a seismic hazard analysis. For a site, it computes the fundamental period of the soil profile and the amplification of spectral acceleration. For a slope, it computes the fundamental period, the earthquake-induced displacement, and the pseudostatic coefficient that keeps a selected quantile of the displacement within a given limit. Uncertainty in the soil profile and in the ground motion is represented by Monte Carlo samples. Every result is reported with its representative value, its applicable quantiles or dispersion, and the population or conditioning to which it refers.
Author: Alejandro Verri Kozlowski [aut, cre, cph]
Maintainer: Alejandro Verri Kozlowski <averri@fi.uba.ar>

Diff between newmark versions 1.9.0 dated 2026-10-24 and 1.10.0 dated 2026-11-01

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Package free1way.docreg updated to version 1.1-0 with previous version 1.0-3 dated 2026-09-08

Title: Additional Documentation and Regression Tests for 'stats::free1way()'
Description: Function 'stats::free1way()' implements semiparametrically efficient population- and permutation-based inference in distribution-free stratified K-sample oneway layouts. This package provides additional documentation, including a detailed description of the implementation, and serves as a home for extensive regression tests.
Author: Torsten Hothorn [aut, cre], Kurt Hornik [aut], Frank E Harrell Jr [ctb]
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

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Package EpiQuestionR updated to version 0.1.2 with previous version 0.1.1 dated 2026-09-10

Title: Questionnaire Analysis for Epidemiology and One Health Research
Description: Provides tools for the analysis of questionnaire and survey data in epidemiological and One Health research. The package supports data preparation, reliability assessment, exploratory factor analysis, Kaiser-Meyer-Olkin assessment, parallel analysis, visualization, reporting, and export of results using a consistent analysis workflow. The methods are based on established approaches to psychometric and multivariate analysis; see Kaiser (1974) <doi:10.1007/BF02291575>, Horn (1965) <doi:10.1007/BF02289447>, and Tabachnick and Fidell (2019, ISBN:9780134790541).
Author: Vinodh Kumar Obli Rajendran [aut, cre] , Keerthi Aaradhana [aut]
Maintainer: Vinodh Kumar Obli Rajendran <vinodhkumar.rajendran@gmail.com>

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Package komaletter updated to version 0.5.1 with previous version 0.5.0 dated 2023-02-26

Title: Simply Beautiful PDF Letters from Markdown
Description: Write beautiful yet customizable letters in R Markdown and directly obtain the finished PDF. Smooth generation of PDFs is realized by 'rmarkdown', the 'pandoc-letter' template and the 'KOMA-Script' letter class. 'KOMA-Script' provides enhanced replacements for the standard 'LaTeX' classes with emphasis on typography and versatility. 'KOMA-Script' is particularly useful for international writers as it handles various paper formats well, provides layouts for many common window envelope types (e.g. German, US, French, Japanese) and lets you define your own layouts. The package comes with a default letter layout based on 'DIN 5008B'.
Author: Robert Nuske [aut, cre] , Dirk Eddelbuettel [aut] , Aaron Wolen [aut]
Maintainer: Robert Nuske <robert.nuske@mailbox.org>

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Package swash updated to version 3.0.3 with previous version 3.0.2 dated 2026-10-18

Title: Health Geography Toolbox for Model-Based Analysis of Infections Panel Data
Description: Within epidemic outbreaks, infections grow and decline differently between regions, and the velocity of spatial spread differs between countries. The swash library offers a set of model-based analyses for these topics. Spread velocity may be analysed with the Swash-Backwash Model of the Single Epidemic Wave by Cliff and Haggett (2006) <doi:10.1007/s10109-006-0027-8> and corresponding functions for bootstrap confidence intervals, country comparison, and visualization of results. Differences in epidemic growth between regions may be analysed using logistic growth models, exponential growth models, Hawkes processes and breakpoint analyses. Cluster and hotspot analyses can be conducted using neighborhood matrices. See Wieland (2020) <doi:10.18335/region.v7i2.324> for an application of some of the mentioned analysis methods. All functionalities are accessed by the class "infpan" for infections panel data defined in this package, which is built from a data.frame provided by the u [...truncated...]
Author: Thomas Wieland [aut, cre]
Maintainer: Thomas Wieland <geowieland@googlemail.com>

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Package ggvolc updated to version 0.4.0 with previous version 0.1.0 dated 2026-01-16

Title: Create Volcano Plots for Differential Gene Expression Data
Description: Creates customizable volcano plots for differential gene expression results from RNA-seq analyses. Accepts result objects or tables from 'DESeq2', 'edgeR', and 'limma' directly, with automatic column detection. Labels the most significant or chosen genes, colors gene sets, compares several contrasts side by side, offers colorblind-safe color presets, and can produce interactive plots with 'ggiraph'. Gene tables are rendered with 'gt' and composed with 'patchwork'.
Author: Loukas Theodosiou [aut, cre]
Maintainer: Loukas Theodosiou <theodosiou@evolbio.mpg.de>

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Package pubh updated to version 3.0.1 with previous version 3.0.0 dated 2025-10-21

Title: A Toolbox for Public Health and Epidemiology
Description: A toolbox for making R functions and capabilities more accessible to students and professionals from Epidemiology and Public Health related disciplines. Includes a function to report coefficients and confidence intervals from models using robust standard errors (when available), functions that expand 'ggplot2' plots and functions relevant for introductory papers in Epidemiology or Public Health. Please note that use of the provided data sets is for educational purposes only.
Author: Josie Athens [aut, cre], Frank Harell [ctb], John Fox [ctb], R-Core [ctb]
Maintainer: Josie Athens <josie.athens@gmail.com>

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Package text2speech updated to version 1.2.1 with previous version 1.2.0 dated 2026-09-30

Title: Text to Speech Conversion
Description: Converts text into speech using various text-to-speech (TTS) engines and provides an unified interface for accessing their functionality. With this package, users can easily generate audio files of spoken words, phrases, or sentences from plain text data. The package supports multiple TTS engines, including Google's 'Cloud Text-to-Speech API', 'Amazon Polly', Microsoft's 'Cognitive Services Text to Speech REST API', the 'Speechify Text-to-Speech API', and a free TTS engine called 'Coqui TTS'.
Author: Howard Baek [aut] , John Muschelli [aut, cre]
Maintainer: John Muschelli <muschellij2@gmail.com>

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Sat, 31 Oct 2026

Package undomanager updated to version 0.2.0 with previous version 0.1.0 dated 2026-09-12

Title: Manage the History of Any Object with Undo/Redo Operations
Description: Track the history of any R object and move through it with undo and redo operations. Anything can be stored, from a single number to a data frame or an entire application state. A manager can restrict its history to specific classes and cap how many items it keeps, and it can be reactive to integrate with 'Shiny'.
Author: Dean Attali [aut, cre]
Maintainer: Dean Attali <daattali@gmail.com>

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Package gptr updated to version 1.0.0 with previous version 0.7.0 dated 2025-04-05

Title: Language Model Agents in Live 'R' Sessions
Description: Runs language model agents in an existing 'R' session, where generated code can inspect and modify objects already in memory. The peter() function supports interactive chat and programmatic calls. Conversational models use tools and return session objects; typed decision models return logical, character or numeric vectors with associated model probabilities. Supports the 'Anthropic' <https://platform.claude.com/docs/en/api/overview>, 'OpenAI' <https://developers.openai.com/api/reference/overview> and 'Google Gemini' <https://ai.google.dev/gemini-api/docs> APIs, 'OpenAI'-compatible endpoints, local 'Ollama' <https://ollama.com> models, and the 'Claude Code' and 'Codex' command line tools. Decision models include 'Jev', hosted by 'TypeSafe AI' <https://docs.typesafe.ai/introduction>, and the local 'Clef'. Top-level agent calls and their executed code can be recorded in 'R' scripts, 'R Markdown' and 'Quarto' documents, or 'Jupyter' notebooks. Recorded 'R' scr [...truncated...]
Author: Wanjun Gu [aut, cre, cph] , Tianlu Zhu [ctb] , Gianmarco Bellucci [ctb]
Maintainer: Wanjun Gu <wanjun.gu@ucsf.edu>

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Package tseLCA updated to version 2.1.1 with previous version 2.1.0 dated 2026-10-23

Title: Three-Step Estimation for Latent Class Analysis
Description: Bias-adjusted three-step estimation of latent class models with covariates and distal outcomes. The latent class measurement model is estimated first, with 'multilevLCA' (Lyrvall et al., 2025) <doi:10.1080/00273171.2025.2473935>, and held fixed; observations are then classified; and the classes are related to covariates and distal outcomes with the maximum likelihood correction of Vermunt (2010) <doi:10.1093/pan/mpq025> and Bakk, Tekle and Vermunt (2013) <doi:10.1177/0081175012470644>, or the correction of Bolck, Croon and Hagenaars (2004) <doi:10.1093/pan/mph001>. Standard errors account for the uncertainty of the measurement model (Bakk, Oberski and Vermunt, 2014) <doi:10.1093/pan/mpu003>. Includes class enumeration, modal and proportional class assignment, covariate formulas, Gaussian, Poisson, binomial, and multinomial distal outcomes, the two-step estimator of Bakk and Kuha (2018) <doi:10.1007/s11336-017-9592-7>, measurement models applied to ne [...truncated...]
Author: Sam Lee [aut, cre, cph] , Jay Goodliffe [aut, cph]
Maintainer: Sam Lee <samlee@arizona.edu>

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Package CDatanet updated to version 2.2.3 with previous version 2.2.2 dated 2025-11-09

Title: Econometrics of Network Data
Description: Simulating and estimating peer effect models and network formation models. The class of peer effect models includes linear-in-means models (Lee, 2004; <doi:10.1111/j.1468-0262.2004.00558.x>), Tobit models (Xu and Lee, 2015; <doi:10.1016/j.jeconom.2015.05.004>), and discrete numerical data models (Houndetoungan, 2025; <doi:10.48550/arXiv.2405.17290>). The network formation models include pair-wise regressions with degree heterogeneity (Graham, 2017; <doi:10.3982/ECTA12679>) and exponential random graph models (Mele, 2017; <doi:10.3982/ECTA10400>).
Author: Aristide Houndetoungan [cre, aut]
Maintainer: Aristide Houndetoungan <ahoundetoungan@ecn.ulaval.ca>

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Package robCompositions updated to version 2.7.0 with previous version 2.6.0 dated 2026-06-15

Title: Compositional Data Analysis
Description: Methods for analysis of compositional data including robust methods (<doi:10.1007/978-3-319-96422-5>), imputation of missing values (<doi:10.1016/j.csda.2009.11.023>), methods to replace rounded zeros (<doi:10.1080/02664763.2017.1410524>, <doi:10.1016/j.chemolab.2016.04.011>, <doi:10.1016/j.csda.2012.02.012>), count zeros (<doi:10.1177/1471082X14535524>), methods to deal with essential zeros (<doi:10.1080/02664763.2016.1182135>), (robust) outlier detection for compositional data, (robust) principal component analysis for compositional data, (robust) factor analysis for compositional data, (robust) discriminant analysis for compositional data (Fisher rule), robust regression with compositional predictors, functional data analysis (<doi:10.1016/j.csda.2015.07.007>) and p-splines (<doi:10.1016/j.csda.2015.07.007>), contingency (<doi:10.1080/03610926.2013.824980>) and compositional tables (<doi:10.1111/sjos.12326>, <doi: [...truncated...]
Author: Matthias Templ [aut, cre] , Karel Hron [aut] , Peter Filzmoser [aut] , Kamila Facevicova [ctb], Petra Kynclova [ctb], Jan Walach [ctb], Veronika Pintar [ctb], Jiajia Chen [ctb], Dominika Miksova [ctb], Bernhard Meindl [ctb], Alessandra Menafoglio [ct [...truncated...]
Maintainer: Matthias Templ <matthias.templ@gmail.com>

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Package hdcuremodels updated to version 0.0.9 with previous version 0.0.8 dated 2026-05-18

Title: High-Dimensional Cure Models
Description: Provides functions for fitting various penalized parametric and semi-parametric mixture cure models with different penalty functions, testing for a significant cure fraction, and testing for sufficient follow-up as described in Fu et al (2022)<doi:10.1002/sim.9513> and Archer et al (2024)<doi:10.1186/s13045-024-01553-6>. False discovery rate controlled variable selection is provided using model-X knock-offs.
Author: Han Fu [aut], Kellie J. Archer [aut, cre] , Tung Lam Nguyen [rev] , Panagiotis Papastamoulis [rev]
Maintainer: Kellie J. Archer <archer.43@osu.edu>

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Package preventr updated to version 0.12.2 with previous version 0.12.1 dated 2026-10-17

Title: An Implementation of the PREVENT and Pooled Cohort Equations
Description: Implements the American Heart Association Predicting Risk of cardiovascular disease EVENTs (PREVENT) equations from Khan SS, Matsushita K, Sang Y, and colleagues (2023) <doi:10.1161/CIRCULATIONAHA.123.067626>, with optional comparison with their de facto predecessor, the Pooled Cohort Equations from the American Heart Association and American College of Cardiology (2013) <doi:10.1161/01.cir.0000437741.48606.98> and the revision to the Pooled Cohort Equations from Yadlowsky and colleagues (2018) <doi:10.7326/M17-3011>.
Author: Martin Mayer [aut, cre, cph]
Maintainer: Martin Mayer <mmayer@ebsco.com>

Diff between preventr versions 0.12.1 dated 2026-10-17 and 0.12.2 dated 2026-10-31

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More information about preventr at CRAN
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Package parallelly updated to version 1.50.0 with previous version 1.48.0 dated 2026-06-29

Title: Enhancing the 'parallel' Package
Description: Utility functions that enhance the 'parallel' package and support the built-in parallel backends of the 'future' package. For example, availableCores() gives the number of CPU cores available to your R process as given by the operating system, 'cgroups' and Linux containers, R options, and environment variables, including those set by job schedulers on high-performance compute clusters. If none is set, it will fall back to parallel::detectCores(). Another example is 'parallel::makeCluster(type = "RPSOCK")', which is backward compatible with 'parallel::makeCluster()' while doing a better job in setting up remote cluster workers without the need for configuring the firewall to do port-forwarding to your local computer.
Author: Henrik Bengtsson [aut, cre, cph] , Mike Cheng [ctb]
Maintainer: Henrik Bengtsson <henrikb@braju.com>

Diff between parallelly versions 1.48.0 dated 2026-06-29 and 1.50.0 dated 2026-10-31

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Package brapiR2 updated to version 0.2.1 with previous version 0.2.0 dated 2026-10-05

Title: A Tidyverse-Native Client for the 'BrAPI' v2 (Breeding API) Specification
Description: Provides pipe-friendly, stateless read access to the Breeding API ('BrAPI') v2.1 specification, an open community standard for plant breeding data interchange maintained by the BrAPI project <https://brapi.org>. Wraps 32 of the 37 'BrAPI' v2.1 entities across all four modules, Core, Germplasm, Phenotyping, and Genotyping, covering 49 of the specification's 138 retrieval ('GET' and search) endpoints and returning tidy tibbles ready for analysis. Write and update endpoints are out of scope by design. Features include automatic pagination, async search handling, response caching, parallel batch fetching, and convenience functions for genomic selection workflows (e.g. dosage matrix extraction). Designed for plant breeders and bioinformaticians who need programmatic access to plant breeding databases that implement the 'BrAPI' v2 specification.
Author: Joash Joshua Ayo [aut, cre, cph] , David Waring [rev] for rOpenSci, see <https://github.com/ropensci/software-review/issues/792>), Jenna Hershberger [rev] for rOpenSci, see <https://github.com/ropensci/software-review/issues/792>)
Maintainer: Joash Joshua Ayo <joashjoshua789@gmail.com>

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Package wbCorr updated to version 0.4.0 with previous version 0.3.2 dated 2026-07-23

Title: Bivariate Within- and Between-Cluster Correlations
Description: Separates supplied variables into within- and between-cluster components and calculates bivariate correlations for each level separately. For Pearson correlations, the centered-score decomposition corresponds to commonly used between- and within-cluster correlations reviewed by Tu et al. (2025) <doi:10.1002/sim.10326>. The package's descriptive Spearman option is distinct from the clustered rank parameters introduced in that paper. The package is also motivated by the distinction between within- and between-person variation described by Curran and Bauer (2011) <doi:10.1146/annurev.psych.093008.100356> and by Hamaker (2024) <doi:10.1080/00273171.2022.2155930>. The package is intended for longitudinal or otherwise clustered data where researchers need transparent correlation matrices before fitting more complex multilevel models.
Author: Pascal Kueng [aut, cre, cph]
Maintainer: Pascal Kueng <pascal.kueng@psychologie.uzh.ch>

Diff between wbCorr versions 0.3.2 dated 2026-07-23 and 0.4.0 dated 2026-10-31

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Package rifttable updated to version 0.7.3 with previous version 0.7.2 dated 2026-01-18

Title: Results Tables to Bridge the Rift Between Epidemiologists and Their Data
Description: Presentation-ready results tables for epidemiologists in an automated, reproducible fashion. The user provides the final analytical dataset and specifies the design of the table, with rows and/or columns defined by exposure(s), effect modifier(s), and estimands as desired, allowing to show descriptors and inferential estimates in one table -- bridging the rift between epidemiologists and their data, one table at a time. See Rothman (2017) <doi:10.1007/s10654-017-0314-3>.
Author: Konrad H. Stopsack [aut, cre, cph]
Maintainer: Konrad H. Stopsack <stopsack@post.harvard.edu>

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Package shinyOAuth updated to version 0.7.0 with previous version 0.6.1 dated 2026-09-18

Title: OIDC Authentication and OAuth Authorization for 'shiny' Applications
Description: Provides a simple, configurable framework for 'OpenID Connect' (OIDC) authentication and 'OAuth 2.0' authorization in 'shiny' applications using 'S7' classes. Defines providers, clients, and tokens, as well as various supporting functions and a 'shiny' module. Features include cross-site request forgery (CSRF) protection, state encryption, 'Proof Key for Code Exchange' (PKCE) handling, validation of OIDC identity tokens (nonces, signatures, claims), automatic user info retrieval for OIDC and supported 'OAuth' providers, asynchronous flows, and hooks for audit logging.
Author: Luka Koning [aut, cre, cph]
Maintainer: Luka Koning <koningluka@gmail.com>

Diff between shinyOAuth versions 0.6.1 dated 2026-09-18 and 0.7.0 dated 2026-10-31

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Package huggingfaceR updated to version 2.4.0 with previous version 2.3.0 dated 2026-09-18

Title: Access 'Hugging Face' Models and Datasets
Description: Access models and datasets hosted on the 'Hugging Face' Hub through its Inference Application Programming Interface (API). Run text classification, embeddings, chat, translation, image, audio, and other tasks from tidy 'R' workflows without installing 'Python' by default. Results are returned as data frames or simple 'R' objects so they can be composed with 'dplyr', 'tidyr', and related tooling. Helpers also support Hub search, file download, provider discovery, and guarded uploads for authenticated workflows. Optional local embeddings and text classification use 'Python' through 'reticulate'.
Author: Alex Farach [aut, cre, cph], Sam Terfa [aut, cph], Jack Penzer [aut, cph]
Maintainer: Alex Farach <alexfarach@gmail.com>

Diff between huggingfaceR versions 2.3.0 dated 2026-09-18 and 2.4.0 dated 2026-10-31

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Permanent link

Package rmoriebricklayer updated to version 1.0.4 with previous version 1.0.3 dated 2026-10-30

Title: Reproducible Data Capsules with Provenance and Fallback
Description: For analyzing published and unpublished tables, from open-data portals and statistical agencies to a researcher's own data, so that a result can be traced to the exact data behind it and checked again afterwards. A 'capsule' records where each source came from, its Secure Hash Algorithm 256 ('SHA-256') hash, the schema it should have and an archived copy in the Internet Archive 'Wayback Machine' ('web.archive.org'); sources are found through the Comprehensive Knowledge Archive Network ('CKAN', 'ckan.org'). Run again, a capsule says whether each source still matches and, if it does not, how its distribution moved (Kolmogorov-Smirnov, chi-square, population stability index and 'Benford' first-digit screens), and when a source cannot be reached it runs on schema-driven synthetic data that is marked as such. Capsules can be signed with keyed hashes ('HMAC-SHA-256', RFC 2104) or with the post-quantum signature standards 'ML-DSA' (FIPS 204), 'SLH-DSA' (FIPS 205) and 'XMSS' (RFC 8391), implem [...truncated...]
Author: Vansh Singh Ruhela [aut, cre]
Maintainer: Vansh Singh Ruhela <vsruhela@proton.me>

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 rmoriebricklayer-1.0.4/rmoriebricklayer/man/rmbl-compat.Rd                       |  278 -------
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Package webdav updated to version 0.3.0 with previous version 0.2.0 dated 2026-04-07

Title: A Simple Interface for Interacting with 'WebDAV' Servers
Description: An easy-to-use interface for interacting with 'WebDAV' servers, including 'OwnCloud'. It simplifies the use of 'WebDAV' methods such as COPY, MOVE, DELETE and others. With built-in authentication and request handling, it allows for easy management of files and directories over the 'WebDAV' protocol.
Author: Andre Leite [aut, cre] , Marcos Wasiliew [aut] , Hugo Vasconcelos [aut] , Carlos Amorim [aut] , Diogo Bezerra [aut] , Julia Nascimento Barreto [aut]
Maintainer: Andre Leite <leite@castlab.org>

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Package statMatchLCM updated to version 2.1 with previous version 2.0 dated 2026-10-13

Title: Statistical Matching Using Latent Class Models
Description: Provides a revised framework for statistical matching of categorical data based on latent class models, including multiple imputation, predictive modeling, nearest-neighbour hot-deck matching, and probabilistic assignment of categorical target variables. It allows researchers to perform data integration when no unique identifiers are available by modeling the joint distribution of variables through latent categorical structures. The package supports estimation of latent class models, probabilistic matching between donor and recipient data sets, and generation of synthetic linked data under uncertainty. It is particularly useful in survey research and data fusion applications where combining information from multiple sources is required while preserving statistical properties and accounting for measurement error and missing data mechanisms. The latent class matching methods are described by Lewaa, Hafez and Ismail (2023) <doi:10.18576/jsap/120123>. (2.0->2.1): in smc2_step2() G [...truncated...]
Author: Alicja Wolny-Dominiak [aut, cre], Israa Lewaaelhamd [aut], Mohammed Ali Ismail [aut]
Maintainer: Alicja Wolny-Dominiak <woali@ue.katowice.pl>

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Package opencage updated to version 0.3.0 with previous version 0.2.2 dated 2021-02-19

Title: Geocode with the OpenCage API
Description: Geocode with the OpenCage API, either from place name to longitude and latitude (forward geocoding) or from longitude and latitude to the name and address of a location (reverse geocoding), see <https://opencagedata.com>.
Author: Daniel Possenriede [aut, cre] , Jesse Sadler [aut] , Maelle Salmon [aut] , Noam Ross [ctb], Jake Russ [ctb], Julia Silge [rev] for rOpenSci, see <https://github.com/ropensci/onboarding/issues/36>.)
Maintainer: Daniel Possenriede <possenriede+r@gmail.com>

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Package RTMBdist updated to version 1.2.0 with previous version 1.1.0 dated 2026-09-06

Title: Distributions Compatible with Automatic Differentiation by 'RTMB'
Description: Extends the functionality of the 'RTMB' <https://kaskr.r-universe.dev/RTMB> package by providing a collection of non-standard probability distributions compatible with automatic differentiation (AD). While 'RTMB' enables flexible and efficient modelling, including random effects, its built-in support is limited to standard distributions. The package adds additional AD-compatible distributions, broadening the range of models that can be implemented and estimated using 'RTMB'. Automatic differentiation and Laplace approximation are described in Kristensen et al. (2016) <doi:10.18637/jss.v070.i05>.
Author: Jan-Ole Fischer [aut, cre]
Maintainer: Jan-Ole Fischer <jan-ole.fischer@mailbox.org>

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Package nlme updated to version 3.1-172 with previous version 3.1-171 dated 2026-09-01

Title: Linear and Nonlinear Mixed Effects Models
Description: Fit and compare Gaussian linear and nonlinear mixed-effects models.
Author: Jose Pinheiro [aut] , Douglas Bates [aut] , Saikat DebRoy [ctb] , Deepayan Sarkar [ctb] , EISPACK authors [ctb] , Siem Heisterkamp [ctb] , Bert Van Willigen [ctb] , Johannes Ranke [ctb] ), R Core Team [aut, cre]
Maintainer: R Core Team <R-core@R-project.org>

Diff between nlme versions 3.1-171 dated 2026-09-01 and 3.1-172 dated 2026-10-31

 ChangeLog           |    8 +++++++-
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More information about nlme at CRAN
Permanent link

Package streamConnect updated to version 0.1.2 with previous version 0.1.1 dated 2026-10-29

Title: Connecting Stream Mining Components Using Sockets and Web Services
Description: Adds functionality to connect stream mining components from the stream package using sockets and Web services. The package can be used to create distributed workflows and plumber-based Web services that can be deployed on most common cloud services.
Author: Michael Hahsler [aut, cre, cph]
Maintainer: Michael Hahsler <mhahsler@lyle.smu.edu>

Diff between streamConnect versions 0.1.1 dated 2026-10-29 and 0.1.2 dated 2026-10-31

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More information about streamConnect at CRAN
Permanent link

Package statuser updated to version 0.4.1 with previous version 0.4.0 dated 2026-10-09

Title: Statistical Tools Designed for End Users
Description: The statistical tools in this package do one of four things: 1) Enhance basic statistical functions with more flexible inputs, smarter defaults, and richer, clearer, and ready-to-use output (e.g., t.test2()) 2) Produce publication-ready commonly needed figures with one line of code (e.g., plot_cdf()) 3) Implement novel analytical tools developed by the authors (e.g., twolines()) 4) Deliver niche functions of high value to the authors that are not easily available elsewhere (e.g., clear(), convert_to_sql(), resize_images()).
Author: Uri Simonsohn [aut, cre]
Maintainer: Uri Simonsohn <urisohn@gmail.com>

Diff between statuser versions 0.4.0 dated 2026-10-09 and 0.4.1 dated 2026-10-31

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Package spicy updated to version 0.14.0 with previous version 0.13.0 dated 2026-10-01

Title: Publication-Ready Tables for Descriptive Statistics and Regression Models
Description: Provides publication-ready tables for descriptive statistics and regression models: frequency tables and cross-tabulations with association measures (Cramér's V, Kendall's Tau-b, and others), categorical and continuous summary tables, by group or from a complex survey design, and regression tables for one or more models side by side, across more than thirty model classes from mixed-effects to survival and Bayesian, with robust standard errors, average marginal effects, and univariable screening. Tables follow APA conventions by default, can switch to named journal styles such as JAMA, NEJM, or The Lancet, and render identically in the console and in 'gt', 'tinytable', 'flextable', 'Word', 'Excel', or the clipboard. Declared missing values in labelled data are honored and disclosed throughout the descriptive tables. Helpers cover codebooks, variable inspection, and row-wise summaries.
Author: Amal Tawfik [aut, cre, cph]
Maintainer: Amal Tawfik <amal.tawfik@hesav.ch>

Diff between spicy versions 0.13.0 dated 2026-10-01 and 0.14.0 dated 2026-10-31

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More information about spicy at CRAN
Permanent link

Package scs updated to version 3.3.1 with previous version 3.2.7 dated 2025-04-14

Title: Splitting Conic Solver
Description: Solves convex cone programs via operator splitting. Can solve: linear programs ('LPs'), second-order cone programs ('SOCPs'), semidefinite programs ('SDPs'), exponential cone programs ('ECPs'), and power cone programs ('PCPs'), or problems with any combination of those cones. 'SCS' uses 'AMD' (a set of routines for permuting sparse matrices prior to factorization) and 'LDL' (a sparse 'LDL' factorization and solve package) from 'SuiteSparse' (<https://people.engr.tamu.edu/davis/suitesparse.html>).
Author: Florian Schwendinger [aut, cre], Brendan O'Donoghue [aut, cph], Balasubramanian Narasimhan [aut], Timothy A. Davis [cph], Patrick R. Amestoy [cph], Iain S. Duff [cph]
Maintainer: Florian Schwendinger <FlorianSchwendinger@gmx.at>

Diff between scs versions 3.2.7 dated 2025-04-14 and 3.3.1 dated 2026-10-31

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Package ROI.plugin.scs updated to version 1.1-4 with previous version 1.1-2 dated 2023-07-07

Title: 'SCS' Plug-in for the 'R' Optimization Infrastructure
Description: Enhances the 'R' Optimization Infrastructure ('ROI') package with the 'SCS' solver for solving convex cone problems.
Author: Florian Schwendinger [aut, cre]
Maintainer: Florian Schwendinger <FlorianSchwendinger@gmx.at>

Diff between ROI.plugin.scs versions 1.1-2 dated 2023-07-07 and 1.1-4 dated 2026-10-31

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Package RcppTrust updated to version 0.2.1 with previous version 0.2.0 dated 2026-10-27

Title: Thread-Safe C++ Trust Region Optimizers
Description: Thread-safe C++ trust region optimizers, each exposed both as an R function and as a C-callable entry point (with function pointers registered for other packages to call without linking against this package's shared library) so they can be used from parallel C++ code such as in 'nlmixr2est'. Includes a port of the two-derivative trust region algorithm in the 'trust' package by Charles J. Geyer; a port of the Steihaug truncated conjugate-gradient trust region method from the 'basin' Rust crate (Steihaug (1983) <doi:10.1137/0720042>); and ports of M. J. D. Powell's derivative-free BOBYQA (Powell (2009), Report DAMTP 2009/NA06) and NEWUOA (Powell (2006) <doi:10.1007/0-387-30065-1_16>) Fortran 77 code <https://github.com/libprima/prima/tree/main/fortran/original>, as modified and distributed in the 'minqa' package, whose R interface is reproduced.
Author: Charles J. Geyer [aut, cph] , Matthew Fidler [aut, cre] , Michael J. D. Powell [aut] , Douglas Bates [ctb, cph] , Katharine M. Mullen [ctb, cph] , John C. Nash [ctb, cph] , Ravi Varadhan [ctb, cph] , Johan Larsson [ctb, cph]
Maintainer: Matthew Fidler <matthew.fidler@gmail.com>

Diff between RcppTrust versions 0.2.0 dated 2026-10-27 and 0.2.1 dated 2026-10-31

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Package movecost updated to version 3.1.1 with previous version 3.1.0 dated 2026-10-29

Title: Calculation of Slope-Dependant Accumulated Cost Surface, Least-Cost Paths, Least-Cost Corridors, Least-Cost Networks Related to Human Movement Across the Landscape
Description: Provides the facility to calculate non-isotropic accumulated cost surfaces, least-cost paths, least-cost corridors, least-cost networks, ranked alternative paths, cost allocation and cost boundaries, using a number of human-movement-related cost functions that can be selected by the user. The terrain factor can be set as a single value or vary across the landscape via a raster of terrain factors or terrain classes. The package is built around a compute-once design: a single cost surface object is created first and then reused by every analysis function, avoiding redundant computation. Visualisation is fully decoupled from computation and is provided through 'ggplot2' methods that can be invoked, customised, and re-invoked at any time without re-running any analysis. It just requires a Digital Terrain Model, a start location and (optionally) destination locations. See Alberti (2019) <doi:10.1016/j.softx.2019.100331>.
Author: Gianmarco Alberti [aut, cre]
Maintainer: Gianmarco Alberti <gianmarcoalberti@gmail.com>

Diff between movecost versions 3.1.0 dated 2026-10-29 and 3.1.1 dated 2026-10-31

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Package glyparse updated to version 1.0.1 with previous version 1.0.0 dated 2026-10-30

Title: Parsing Glycan Structure Text Representations
Description: Provides functions to parse glycan structure text representations into 'glyrepr' glycan structures. Currently, it supports StrucGP-style, pGlyco-style, IUPAC-condensed, IUPAC-extended, IUPAC-short, IUPAC-compact, WURCS, LINUCS, Linear Code, GlycoCT, KCF, and GlycoWorkbench formats. It also provides an automatic parser to detect the format and parse the structure string.
Author: Bin Fu [aut, cre, cph]
Maintainer: Bin Fu <23110220018@m.fudan.edu.cn>

Diff between glyparse versions 1.0.0 dated 2026-10-30 and 1.0.1 dated 2026-10-31

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Package galamm updated to version 0.4.2 with previous version 0.4.1 dated 2026-08-31

Title: Generalized Additive Latent and Mixed Models
Description: Estimates generalized additive latent and mixed models using maximum marginal likelihood, as defined in Sorensen et al. (2023) <doi:10.1007/s11336-023-09910-z>, which is an extension of Rabe-Hesketh and Skrondal (2004)'s unifying framework for multilevel latent variable modeling <doi:10.1007/BF02295939>. Efficient computation is done using sparse matrix methods, Laplace approximation, and automatic differentiation. The framework includes generalized multilevel models with heteroscedastic residuals, mixed response types, factor loadings, smoothing splines, crossed random effects, and combinations thereof. Syntax for model formulation is close to 'lme4' (Bates et al. (2015) <doi:10.18637/jss.v067.i01>) and 'PLmixed' (Rockwood and Jeon (2019) <doi:10.1080/00273171.2018.1516541>).
Author: Oeystein Soerensen [aut, cre] , Douglas Bates [ctb], Ben Bolker [ctb], Martin Maechler [ctb], Allan Leal [ctb], Fabian Scheipl [ctb], Steven Walker [ctb], Simon Wood [ctb]
Maintainer: Oeystein Soerensen <oystein.sorensen@psykologi.uio.no>

Diff between galamm versions 0.4.1 dated 2026-08-31 and 0.4.2 dated 2026-10-31

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Package framework updated to version 1.1.1 with previous version 1.1.0 dated 2026-10-28

Title: Structured Data Science Project Scaffolding
Description: Project scaffolding and workflow tools for reproducible data science. Manages packages, tracks data integrity, handles database connections, generates notebooks, and publishes to S3-compatible storage. More information at <https://framework.table1.org>.
Author: Erik Westlund [aut, cre, cph]
Maintainer: Erik Westlund <erik@framework.pub>

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Package EDE updated to version 0.3.0 with previous version 0.2.0 dated 2026-09-21

Title: Extinction Date Estimation from Sighting Records
Description: Infers the extinction of a species from a time-ordered record of sightings, collecting methods from the sighting-record and stratigraphic-range literature under one interface. Includes endpoint estimators (Robson & Whitlock, 1964; Strauss & Sadler, 1989; Roberts & Solow, 2003), frequentist persistence tests (Solow, 1993a, 1993b; Burgman, Grimson & Ferson, 1995; Solow & Roberts, 2003; Solow, 2005; McInerny, Roberts, Davy & Cribb, 2006; Jarić & Ebenhard, 2010), Bayesian models (Rout, Salomon & McCarthy, 2009; Caley & Barry, 2014), methods for sightings of uncertain reliability (Thompson et al., 2013; Jarić & Roberts, 2014; Lee et al., 2014; Brook, Buettel & Jarić, 2019; Kodikara et al., 2020, 2021), models combining records and surveys (Thompson et al., 2017, 2019), and confidence intervals on the end-points of fossil ranges (Marshall, 1994, 1997; Weiss & Marshall, 1999). Every method is tested against the published examples of its source p [...truncated...]
Author: Rodrigo Fonseca Villa [aut, cre]
Maintainer: Rodrigo Fonseca Villa <rodrigo03.villa@gmail.com>

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More information about EDE at CRAN
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Package BJM updated to version 0.3.0 with previous version 0.2.0 dated 2026-09-24

Title: Backward Joint Model for the Dynamic Prediction of Both Time-to-Event and Longitudinal Outcomes
Description: Provides tools to fit joint models of multivariate longitudinal data and time-to-event data for dynamic prediction. It allows the joint prediction of both future time-to-event outcomes and future longitudinal outcomes conditional on survival. The models accommodate irregularly measured longitudinal data and competing risks outcomes. The use of the backward joint model enables fast and efficient computation, especially for applications with large sample sizes and many longitudinal variables. Methods without competing risks are described in Shen and Li (2021) <doi:10.1002/sim.9037>, and their extension to competing risks is described in Li et al. (2026) <doi:10.1007/s10985-026-09725-x>.
Author: Wenhao Li [aut, cre], Liang Li [aut]
Maintainer: Wenhao Li <wenhaoli.jlu@gmail.com>

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Package BBMBC updated to version 1.0.1 with previous version 0.1.0 dated 2026-10-07

Title: Beta-Binomial Models for Immune Cell Frequencies and Power Calculations
Description: Provides tools to model overdispersed immune cell frequencies using Beta-Binomial generalized linear models. Originally designed for memory B cells, the framework generalizes to evaluate rare cellular immune responses across vaccinology, immuno-oncology, and related fields. Includes method-of-moments dispersion estimation, likelihood ratio testing across experimental arms, and Monte Carlo simulation to calculate statistical power and Type I error rates. The methodologies are directly motivated by the analysis of immunology data in "Vaccination with mRNA-encoded membrane-anchored HIV envelope trimers elicited tier 2 neutralizing antibodies in a phase 1 clinical trial" (Parks et al. 2025) <doi:10.1126/scitranslmed.ady6831>.
Author: Andrew Shin [aut, cre]
Maintainer: Andrew Shin <ashin2@uw.edu>

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Package BayesianQDM updated to version 1.0.1 with previous version 1.0.0 dated 2026-10-30

Title: Bayesian Quantitative Decision-Making Framework for Binary, Continuous and Time-to-Event Endpoints
Description: Bayesian quantitative decision-making for proof-of-concept clinical trials with Go, NoGo and Gray decisions. A study is specified by its sample sizes, conjugate prior distributions, external data borrowed through power priors, a concurrent, external, hypothetical or fixed control group, and a decision criterion based on the posterior or posterior predictive probability of the treatment effect. The package computes the decision for observed data, the operating characteristics of a design under scenarios for the true parameters, the decision thresholds that control the probabilities of false Go and false NoGo decisions, and the observed data that lead to each decision. One or two binary endpoints (Beta-binomial and Dirichlet-multinomial models), one or two continuous endpoints (Normal-Inverse-chi-squared and Normal-Inverse-Wishart models) and one time-to-event endpoint evaluated by the milestone survival probability or the hazard ratio (exponential model with Gamma priors) are supported, [...truncated...]
Author: Gosuke Homma [aut, cre], Yusuke Yamaguchi [aut]
Maintainer: Gosuke Homma <my.name.is.gosuke@gmail.com>

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Package ballast updated to version 0.7.4 with previous version 0.6.1 dated 2026-10-30

Title: Stress-Test a Pre-Specified Mixed Model for Repeated Measures
Description: Refits one pre-specified mixed model for repeated measures (MMRM) under families of data and analytic perturbations (covariance structure, degrees-of-freedom method and variance estimator, covariate set, analysis population, alternative analysis data sets, leave-one-out deletions, crossed specification grids, re-randomisation tests, delta-adjusted and reference-based multiple imputation, and alternative estimators) and judges every refit against the pre-specified estimate, confidence interval and p-value. Classifies the result as robust, sensitive or fragile, with a separate flag for marginal significance, and estimates by simulation the probability that a planned design gives a significant and robust result. Fitting uses 'mmrm' (Sabanes Bove et al., 2024, <https://openpharma.github.io/mmrm/>) with 'SAS' 'PROC MIXED' conventions for the least-squares-mean contrast, Kenward-Roger adjustment and the corrected Akaike criterion. Reference-based multiple imputation follows Carpenter, [...truncated...]
Author: Adam Sullivan [aut, cre, cph] , Nathan Hogan [ctb] , Capricor Therapeutics [fnd]
Maintainer: Adam Sullivan <asullivan@capricor.com>

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Package argparse updated to version 2.3.3 with previous version 2.3.1 dated 2025-10-08

Title: Command Line Optional and Positional Argument Parser
Description: A command line parser to be used with 'Rscript' to write "#!" shebang scripts that gracefully accept positional and optional arguments and automatically generate usage.
Author: Trevor L. Davis [aut, cre] , Allen Day [ctb] , Python Software Foundation [ctb] , Paul Newell [ctb]
Maintainer: Trevor L. Davis <trevor.l.davis@gmail.com>

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Package xtpqardl updated to version 1.0.5 with previous version 1.0.3 dated 2026-09-28

Title: Panel Quantile Autoregressive Distributed Lag Model
Description: Estimation of Panel Quantile Autoregressive Distributed Lag (PQARDL) models that combine panel ARDL methodology with quantile regression. Supports Pooled Mean Group (PMG), Mean Group (MG), and Dynamic Fixed Effects (DFE) estimators across multiple quantiles. Computes long-run cointegrating parameters, error correction term speed of adjustment, half-life of adjustment, and performs Wald tests for parameter equality across quantiles. Based on the econometric frameworks of Pesaran, Shin, and Smith (1999) <doi:10.1080/01621459.1999.10474156>, Cho, Kim, and Shin (2015) <doi:10.1016/j.jeconom.2015.05.003>, and Bildirici and Kayikci (2022).
Author: Muhammad Alkhalaf [aut, cre, cph]
Maintainer: Muhammad Alkhalaf <muhammedalkhalaf@gmail.com>

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Package xtdhcoint updated to version 1.0.5 with previous version 1.0.3 dated 2026-10-01

Title: Durbin-Hausman Panel Cointegration Tests
Description: Implements the Durbin-Hausman panel cointegration tests of Westerlund (2008) <doi:10.1002/jae.967>. The tests are robust to cross-sectional dependence through common factor extraction using principal components. Provides both group-mean (DHg) and panel (DHp) test statistics with automatic factor number selection via information criteria.
Author: Muhammad Alkhalaf [aut, cre, cph] , Joakim Westerlund [ctb]
Maintainer: Muhammad Alkhalaf <muhammedalkhalaf@gmail.com>

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Package paneltests updated to version 1.0.8 with previous version 1.0.6 dated 2026-09-28

Title: Panel Data Pre-Testing and Diagnostic Suite
Description: Pre-testing and diagnostic tools for panel data analysis. Researchers should run these tests before any panel regression to verify modelling assumptions. The package implements: (1) the Hsiao (2014, <ISBN:978-1-107-65763-2>) homogeneity F-tests (F1/F2/F3), Swamy (1970) <doi:10.2307/1913012> parameter heterogeneity test, and Pesaran (2004) <doi:10.2139/ssrn.572504> cross-sectional dependence test via xtpretest(); (2) missing-data detection, mechanism testing, and imputation for unbalanced panels via xtmispanel(); (3) quantile-regression cross-sectional dependence tests (T_tau and T-tilde_tau statistics) of Demetrescu, Hosseinkouchack and Rodrigues (2023) via xtcsdq(); and (4) the panel quantile-regression slope homogeneity S-hat and D-hat statistics of Galvao, Juhl, Montes-Rojas and Olmo (2017) <doi:10.1093/jjfinec/nbx016> via xtqsh(). Together these tests address three fundamental pre-testing questions: (i) are slopes homogeneous? (ii) is there cross-sectional d [...truncated...]
Author: Muhammad Abdullah Alkhalaf [aut, cre, cph]
Maintainer: Muhammad Abdullah Alkhalaf <muhammedalkhalaf@gmail.com>

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Package mize updated to version 0.3.0 with previous version 0.2.5 dated 2026-02-09

Title: Unconstrained Numerical Optimization Algorithms
Description: Optimization algorithms implemented in R, including conjugate gradient (CG), Broyden-Fletcher-Goldfarb-Shanno (BFGS) and the limited memory BFGS (L-BFGS) methods. Most internal parameters can be set through the call interface. The solvers hold up quite well for higher-dimensional problems.
Author: James Melville [aut, cre]
Maintainer: James Melville <jlmelville@gmail.com>

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Package caustests updated to version 1.1.7 with previous version 1.1.4 dated 2026-09-30

Title: Multiple Granger Causality Tests for Time Series and Panel Data
Description: Comprehensive suite of Granger causality tests for time series and panel data. For time series: Toda-Yamamoto (1995) <doi:10.1016/0304-4076(94)01616-8>, Fourier-based tests with single frequency (Enders and Jones, 2016) <doi:10.1515/snde-2014-0101> and cumulative frequencies (Nazlioglu et al., 2019) <doi:10.1080/1540496X.2018.1434072>, quantile causality tests (Cai et al., 2023) <doi:10.1016/j.frl.2023.104327>, and Bootstrap Fourier Granger Causality in Quantiles (Cheng et al., 2021) <doi:10.1007/s12076-020-00263-0>. For panel data: Panel Fourier Toda-Yamamoto (Yilanci and Gorus, 2020) <doi:10.1007/s11356-020-10092-9> and Panel Quantile Causality tests (Wang and Nguyen, 2022) <doi:10.1080/1331677X.2021.1948436>, as well as Group-Mean and Pooled Fully Modified OLS estimators for panel cointegrating polynomial regressions (Wagner and Reichold, 2023) <doi:10.1080/07474938.2023.2178141>. All tests include bootstrap inference for robust p-valu [...truncated...]
Author: Muhammad Alkhalaf [aut, cre, cph]
Maintainer: Muhammad Alkhalaf <muhammedalkhalaf@gmail.com>

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Package ardlverse updated to version 2.1.2 with previous version 2.1.0 dated 2026-10-10

Title: Comprehensive ARDL: Panel, Bootstrap and Fourier Methods
Description: A unified framework for Autoregressive Distributed Lag (ARDL) modeling and cointegration analysis. Implements Panel ARDL with Pooled Mean Group (PMG), Mean Group (MG), and Dynamic Fixed Effects (DFE) estimators following Pesaran, Shin and Smith (1999) <doi:10.1080/01621459.1999.10474156>. Provides the bounds test of Pesaran, Shin and Smith (2001) <doi:10.1002/jae.616> with the critical values of Kripfganz and Schneider (2020) <doi:10.1111/obes.12377> and with recursive bootstrap critical values following Bertelli, Vacca and Zoia (2022) <doi:10.1016/j.econmod.2022.105987> and McNown, Sam and Goh (2018) <doi:10.1080/00036846.2017.1366643>. Includes Quantile Nonlinear ARDL (QNARDL) combining distributional and asymmetric effects based on Shin, Yu and Greenwood-Nimmo (2014) <doi:10.1007/978-1-4899-8008-3_9>, Fourier ARDL for modeling smooth structural breaks following Enders and Lee (2012) <doi:10.1016/j.econlet.2012.04.081>, and Fourier (bootstrap [...truncated...]
Author: Muhammad Abdullah Alkhalaf [aut, cre] , Yeleazar Levchenko [ctb] )
Maintainer: Muhammad Abdullah Alkhalaf <muhammedalkhalaf@gmail.com>

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Package languageserver updated to version 0.3.21 with previous version 0.3.20 dated 2026-09-24

Title: Language Server Protocol
Description: An implementation of the Language Server Protocol for R. The Language Server protocol is used by an editor client to integrate features like auto completion. See <https://microsoft.github.io/language-server-protocol/> for details.
Author: Randy Lai [aut, cre], Kun Ren [ctb]
Maintainer: Randy Lai <randy.cs.lai@gmail.com>

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Package mongolstats updated to version 0.4.0 with previous version 0.2.0 dated 2026-07-09

Title: Tidy Access to Mongolian Official Statistics and Metadata
Description: A 'tidyverse'-friendly client for the public statistical services of the National Statistics Office of Mongolia <https://data.1212.mn/>. Discover tables and their dimensions, and fetch statistical data as 'tibble' data frames with English or Mongolian labels. Periods are reported by their labels and can be selected in any of the office's period formats, tables that have moved within the catalogue are found automatically, and large requests are split to stay within the server's limits. Source provenance and raw observation symbols support reproducible exports. Experimental clients provide access to the public data and metadata portals, including official definitions, collection forms, classifications, and reviewed indicator queries. Maps and joins by statistical code are provided by the companion package 'mongolmaps'.
Author: Temuulen Enebish [aut, cre, cph], National Statistics Office of Mongolia [cph]
Maintainer: Temuulen Enebish <temuulen@gmail.com>

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Package mlma updated to version 6.4-1 with previous version 6.3-1 dated 2023-08-29

Title: Multilevel Mediation Analysis
Description: Do multilevel mediation analysis with generalized additive multilevel models. The analysis method is described in Yu and Li (2020), "Third-Variable Effect Analysis with Multilevel Additive Models", PLoS ONE 15(10): e0241072.
Author: Qingzhao Yu [aut, cre], Bin Li [aut]
Maintainer: Qingzhao Yu <qyu@lsuhsc.edu>

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Fri, 30 Oct 2026

Package rmoriebricklayer updated to version 1.0.3 with previous version 1.0.2 dated 2026-10-22

Title: Reproducible Data Capsules with Provenance and Fallback
Description: For analyzing published and unpublished tables, from open-data portals and statistical agencies to a researcher's own data, so that a result can be traced to the exact data behind it and checked again afterwards. A 'capsule' records where each source came from, its Secure Hash Algorithm 256 ('SHA-256') hash, the schema it should have and an archived copy in the Internet Archive 'Wayback Machine' ('web.archive.org'); sources are found through the Comprehensive Knowledge Archive Network ('CKAN', 'ckan.org'). Run again, a capsule says whether each source still matches and, if it does not, how its distribution moved (Kolmogorov-Smirnov, chi-square, population stability index and 'Benford' first-digit screens), and when a source cannot be reached it runs on schema-driven synthetic data that is marked as such. Capsules can be signed with keyed hashes ('HMAC-SHA-256', RFC 2104) or with the post-quantum signature standards 'ML-DSA' (FIPS 204), 'SLH-DSA' (FIPS 205) and 'XMSS' (RFC 8391), implem [...truncated...]
Author: Vansh Singh Ruhela [aut, cre]
Maintainer: Vansh Singh Ruhela <vsruhela@proton.me>

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 rmoriebricklayer-1.0.3/rmoriebricklayer/R/aaa_input_guards.R                                     | 1134 +
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Package pairwise updated to version 0.6.4-0 with previous version 0.6.2-0 dated 2025-09-12

Title: Rasch Model Parameters by Pairwise Algorithm
Description: Performs the explicit calculation -- not estimation! -- of the Rasch item parameters for dichotomous and polytomous item responses, using a pairwise comparison approach. Person parameters (WLE) are calculated according to Warm's weighted likelihood approach.
Author: Joerg-Henrik Heine [aut, cre, ctb], Christian Grebe [ctb]
Maintainer: Joerg-Henrik Heine <jhheine@googlemail.com>

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Package h5lite updated to version 2.2.0.0 with previous version 2.1.1.1 dated 2026-05-18

Title: Simplified 'HDF5' Interface
Description: A user-friendly interface for the Hierarchical Data Format 5 ('HDF5') library designed to "just work." It bundles the necessary system libraries to ensure easy installation on all platforms. Features smart defaults that automatically map R objects (vectors, matrices, data frames) to efficient 'HDF5' types, removing the need to manage low-level details like dataspaces or property lists. Uses the 'HDF5' library developed by The HDF Group <https://www.hdfgroup.org/>.
Author: Daniel P. Smith [aut, cre] , Alkek Center for Metagenomics and Microbiome Research [cph, fnd]
Maintainer: Daniel P. Smith <dansmith01@gmail.com>

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Package confintROB updated to version 1.2 with previous version 1.1-1 dated 2026-01-29

Title: Confidence Intervals for Robust and Classical Linear Mixed Model Estimators
Description: The main function calculates confidence intervals (CI) for Mixed Models, utilizing both classical estimators from the lmer() function in the 'lme4' package and robust estimators from the rlmer() function in the 'robustlmm' package, as well as the varComprob() function in the 'robustvarComp' package. Three methods are available: the classical Wald method, the wild bootstrap, and the parametric bootstrap. Bootstrap methods offer flexibility in obtaining lower and upper bounds through percentile or BCa methods. More details are given in Mason, F., Cantoni, E., & Ghisletta, P. (2021) <doi:10.5964/meth.6607> and Mason, F., Cantoni, E., & Ghisletta, P. (2024) <doi:10.1037/met0000643>.
Author: Fabio Mason [aut, cre], Manuel Koller [aut], Eva Cantoni [ctb, ths], Paolo Ghisletta [ths]
Maintainer: Fabio Mason <fabio.mason@unige.ch>

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Package EventStudy updated to version 0.70 with previous version 0.66.0 dated 2026-10-21

Title: Event Study Analysis
Description: Financial event study analysis. Implements the classical event study methodology of MacKinlay (1997) <https://www.jstor.org/stable/2729691> with multiple return models: market model, market adjusted, comparison period mean adjusted, Fama and French three-factor (1993) <doi:10.1016/0304-405X(93)90023-5> and five-factor (2015) <doi:10.1016/j.jfineco.2014.10.010>, Carhart (1997) four-factor <doi:10.1111/j.1540-6261.1997.tb03808.x>, generalized autoregressive conditional heteroskedasticity (GARCH; Bollerslev, 1986) <doi:10.1016/0304-4076(86)90063-1>, rolling window, and dynamic conditional correlation GARCH (DCC-GARCH; Engle, 2002) <doi:10.1198/073500102288618487>. Provides parametric and non-parametric test statistics, including the standardized cross-sectional test of Boehmer, Musumeci and Poulsen (1991) <doi:10.1016/0304-405X(91)90032-F> and its cross-correlation adjustment by Kolari and Pynnonen (2010) <doi:10.1093/rfs/hhq072>; buy-and-ho [...truncated...]
Author: Simon Mueller [cre, aut]
Maintainer: Simon Mueller <sm@data-zoo.de>

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Package circumplex updated to version 2.1.0 with previous version 2.0.1 dated 2026-09-06

Title: Analysis and Visualization of Circular Data
Description: Circumplex models, which organize constructs in a circle around two underlying dimensions, are popular for studying interpersonal functioning, mood/affect, and vocational preferences/environments. This package provides tools for analyzing and visualizing circular data, including scoring functions for relevant instruments and a generalization of the bootstrapped structural summary method from Zimmermann & Wright (2017) <doi:10.1177/1073191115621795> and functions for creating publication-ready tables and figures from the results.
Author: Jeffrey Girard [aut, cre] , Johannes Zimmermann [aut] , Aidan Wright [aut]
Maintainer: Jeffrey Girard <me@jmgirard.com>

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More information about circumplex at CRAN
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Package Uno updated to version 2.9.2-1 with previous version 2.7.4-1 dated 2026-08-30

Title: R Interface to the 'Uno' Nonlinear Optimization Solver
Description: Bindings to 'Uno' (Unifying Nonlinear Optimization), a C++ solver for smooth nonlinearly constrained optimization. 'Uno' unifies Lagrange-Newton methods, including sequential quadratic programming and interior-point methods, by decomposing them into interacting building blocks (constraint-relaxation, inequality-handling, Hessian, and globalization strategies) that can be freely combined, either through options or through presets that reproduce established solvers such as 'filterSQP' and 'IPOPT'. The framework is described in Vanaret and Leyffer (2026) <doi:10.1007/s12532-026-00310-9>.
Author: Balasubramanian Narasimhan [aut, cre, cph] , Charlie Vanaret [aut, cph] ; designed and implemented Uno), Alexis Montoison [ctb, cph] and Fortran interface, MA86 interface), Joris Gillis [ctb, cph] ), David Kiessling [ctb, cph] ), Manuel Schaich [ctb [...truncated...]
Maintainer: Balasubramanian Narasimhan <naras@stanford.edu>

Diff between Uno versions 2.7.4-1 dated 2026-08-30 and 2.9.2-1 dated 2026-10-30

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 Uno-2.9.2-1/Uno/LICENSE                                                                                |    2 
 Uno-2.9.2-1/Uno/MD5                                                                                    |  975 +++----
 Uno-2.9.2-1/Uno/NAMESPACE                                                                              |   10 
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 Uno-2.9.2-1/Uno/R/Uno-package.R                                                                        |   13 
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 Uno-2.9.2-1/Uno/cleanup                                                                                |    2 
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 Uno-2.9.2-1/Uno/configure.win                                                                          |   41 
 Uno-2.9.2-1/Uno/inst/CITATION                                                                          |   28 
 Uno-2.9.2-1/Uno/inst/COPYRIGHTS                                                                        |   84 
 Uno-2.9.2-1/Uno/inst/HiGHS/BUILD.bazel                                                                 |   20 
 Uno-2.9.2-1/Uno/inst/HiGHS/CMakeLists.txt                                                              |   92 
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 Uno-2.9.2-1/Uno/inst/HiGHS/FEATURES.md                                                                 |  207 +
 Uno-2.9.2-1/Uno/inst/HiGHS/MODULE.bazel                                                                |    2 
 Uno-2.9.2-1/Uno/inst/HiGHS/README.md                                                                   |   16 
 Uno-2.9.2-1/Uno/inst/HiGHS/Version.txt                                                                 |    4 
 Uno-2.9.2-1/Uno/inst/HiGHS/app/CMakeLists.txt                                                          |   22 
 Uno-2.9.2-1/Uno/inst/HiGHS/app/HighsAppExternalDeps.h                                                  |only
 Uno-2.9.2-1/Uno/inst/HiGHS/app/HighsRuntimeOptions.h                                                   |   57 
 Uno-2.9.2-1/Uno/inst/HiGHS/cmake/FindHipoDeps.cmake                                                    |  624 ++--
 Uno-2.9.2-1/Uno/inst/HiGHS/cmake/README.md                                                             |    1 
 Uno-2.9.2-1/Uno/inst/HiGHS/cmake/cpp-highs.cmake                                                       |   21 
 Uno-2.9.2-1/Uno/inst/HiGHS/cmake/dotnet.cmake                                                          |    2 
 Uno-2.9.2-1/Uno/inst/HiGHS/cmake/set-version.cmake                                                     |    4 
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 Uno-2.9.2-1/Uno/inst/HiGHS/docs/src/installation.md                                                    |   56 
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 Uno-2.9.2-1/Uno/inst/HiGHS/docs/src/parallel.md                                                        |   32 
 Uno-2.9.2-1/Uno/inst/HiGHS/docs/src/solvers.md                                                         |   20 
 Uno-2.9.2-1/Uno/inst/HiGHS/examples/Docs.py                                                            |    8 
 Uno-2.9.2-1/Uno/inst/HiGHS/examples/branch-and-price.py                                                |   37 
 Uno-2.9.2-1/Uno/inst/HiGHS/examples/call_highs_from_python.py                                          |    8 
 Uno-2.9.2-1/Uno/inst/HiGHS/examples/call_highs_from_python_highspy.py                                  |    2 
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 Uno-2.9.2-1/Uno/inst/HiGHS/examples/chip0.py                                                           |    4 
 Uno-2.9.2-1/Uno/inst/HiGHS/examples/multiple_objective.py                                              |   10 
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 Uno-2.9.2-1/Uno/inst/HiGHS/extern/amd/amd_aat.c                                                        |    2 
 Uno-2.9.2-1/Uno/inst/HiGHS/extern/amd/amd_control.c                                                    |    7 
 Uno-2.9.2-1/Uno/inst/HiGHS/extern/amd/amd_info.c                                                       |    7 
 Uno-2.9.2-1/Uno/inst/HiGHS/extern/amd/amd_internal.h                                                   |   10 
 Uno-2.9.2-1/Uno/inst/HiGHS/extern/amd/amd_order.c                                                      |    6 
 Uno-2.9.2-1/Uno/inst/HiGHS/extern/amd/amd_post_tree.c                                                  |    4 
 Uno-2.9.2-1/Uno/inst/HiGHS/extern/amd/amd_postorder.c                                                  |    4 
 Uno-2.9.2-1/Uno/inst/HiGHS/extern/amd/amd_preprocess.c                                                 |    2 
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 Uno-2.9.2-1/Uno/inst/HiGHS/extern/metis/GKlib/gk_proto.h                                               |    4 
 Uno-2.9.2-1/Uno/inst/HiGHS/extern/metis/GKlib/random.c                                                 |    8 
 Uno-2.9.2-1/Uno/inst/HiGHS/extern/metis/libmetis/gklib_defs.h                                          |    2 
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 Uno-2.9.2-1/Uno/inst/HiGHS/extern/metis/libmetis/metislib.h                                            |    6 
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 Uno-2.9.2-1/Uno/inst/HiGHS/extern/metis/metis.h                                                        |   31 
 Uno-2.9.2-1/Uno/inst/HiGHS/extern/rcm/rcm.cpp                                                          |   55 
 Uno-2.9.2-1/Uno/inst/HiGHS/extern/rcm/rcm.h                                                            |   12 
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 Uno-2.9.2-1/Uno/inst/HiGHS/highs/CMakeLists.txt                                                        |  135 -
 Uno-2.9.2-1/Uno/inst/HiGHS/highs/HConfig.h.bazel.in                                                    |    7 
 Uno-2.9.2-1/Uno/inst/HiGHS/highs/HConfig.h.in                                                          |    2 
 Uno-2.9.2-1/Uno/inst/HiGHS/highs/HConfig.h.meson.in                                                    |    1 
 Uno-2.9.2-1/Uno/inst/HiGHS/highs/Highs.h                                                               |  137 -
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 Uno-2.9.2-1/Uno/inst/HiGHS/highs/interfaces/highs_c_api.cpp                                            |    4 
 Uno-2.9.2-1/Uno/inst/HiGHS/highs/interfaces/highs_c_api.h                                              |   14 
 Uno-2.9.2-1/Uno/inst/HiGHS/highs/interfaces/highs_csharp_api.cs                                        |   74 
 Uno-2.9.2-1/Uno/inst/HiGHS/highs/io/HighsIO.cpp                                                        |   20 
 Uno-2.9.2-1/Uno/inst/HiGHS/highs/io/LoadOptions.cpp                                                    |   10 
 Uno-2.9.2-1/Uno/inst/HiGHS/highs/io/r_io.h                                                             |   68 
 Uno-2.9.2-1/Uno/inst/HiGHS/highs/ipm/IpxWrapper.cpp                                                    |   21 
 Uno-2.9.2-1/Uno/inst/HiGHS/highs/ipm/IpxWrapper.h                                                      |    8 
 Uno-2.9.2-1/Uno/inst/HiGHS/highs/ipm/hipo/auxiliary/Auxiliary.cpp                                      |   90 
 Uno-2.9.2-1/Uno/inst/HiGHS/highs/ipm/hipo/auxiliary/Auxiliary.h                                        |    7 
 Uno-2.9.2-1/Uno/inst/HiGHS/highs/ipm/hipo/auxiliary/KrylovMethods.cpp                                  |    2 
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 Uno-2.9.2-1/Uno/inst/HiGHS/highs/ipm/hipo/factorhighs/Analyse.h                                        |    6 
 Uno-2.9.2-1/Uno/inst/HiGHS/highs/ipm/hipo/factorhighs/CallAndTimeBlas.cpp                              |   36 
 Uno-2.9.2-1/Uno/inst/HiGHS/highs/ipm/hipo/factorhighs/DataCollector.cpp                                |   10 
 Uno-2.9.2-1/Uno/inst/HiGHS/highs/ipm/hipo/factorhighs/DataCollector.h                                  |    6 
 Uno-2.9.2-1/Uno/inst/HiGHS/highs/ipm/hipo/factorhighs/DenseFactHybrid.cpp                              |    1 
 Uno-2.9.2-1/Uno/inst/HiGHS/highs/ipm/hipo/factorhighs/DenseFactKernel.cpp                              |    1 
 Uno-2.9.2-1/Uno/inst/HiGHS/highs/ipm/hipo/factorhighs/FactorHiGHS.cpp                                  |   24 
 Uno-2.9.2-1/Uno/inst/HiGHS/highs/ipm/hipo/factorhighs/FactorHiGHS.h                                    |   14 
 Uno-2.9.2-1/Uno/inst/HiGHS/highs/ipm/hipo/factorhighs/Factorise.cpp                                    |   94 
 Uno-2.9.2-1/Uno/inst/HiGHS/highs/ipm/hipo/factorhighs/Factorise.h                                      |    6 
 Uno-2.9.2-1/Uno/inst/HiGHS/highs/ipm/hipo/factorhighs/HybridSolveHandler.cpp                           |  206 +
 Uno-2.9.2-1/Uno/inst/HiGHS/highs/ipm/hipo/factorhighs/Numeric.cpp                                      |    1 
 Uno-2.9.2-1/Uno/inst/HiGHS/highs/ipm/hipo/factorhighs/Symbolic.cpp                                     |    5 
 Uno-2.9.2-1/Uno/inst/HiGHS/highs/ipm/hipo/factorhighs/Symbolic.h                                       |    4 
 Uno-2.9.2-1/Uno/inst/HiGHS/highs/ipm/hipo/ipm/FactorHiGHSSolver.cpp                                    |  659 +----
 Uno-2.9.2-1/Uno/inst/HiGHS/highs/ipm/hipo/ipm/FactorHiGHSSolver.h                                      |   36 
 Uno-2.9.2-1/Uno/inst/HiGHS/highs/ipm/hipo/ipm/Info.h                                                   |    4 
 Uno-2.9.2-1/Uno/inst/HiGHS/highs/ipm/hipo/ipm/Iterate.cpp                                              |    8 
 Uno-2.9.2-1/Uno/inst/HiGHS/highs/ipm/hipo/ipm/KktMatrix.cpp                                            |only
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 Uno-2.9.2-1/Uno/inst/HiGHS/highs/ipm/hipo/ipm/Model.cpp                                                |   87 
 Uno-2.9.2-1/Uno/inst/HiGHS/highs/ipm/hipo/ipm/Model.h                                                  |   23 
 Uno-2.9.2-1/Uno/inst/HiGHS/highs/ipm/hipo/ipm/Parameters.h                                             |    9 
 Uno-2.9.2-1/Uno/inst/HiGHS/highs/ipm/hipo/ipm/PreProcess.cpp                                           |   40 
 Uno-2.9.2-1/Uno/inst/HiGHS/highs/ipm/hipo/ipm/PreProcess.h                                             |    9 
 Uno-2.9.2-1/Uno/inst/HiGHS/highs/ipm/hipo/ipm/Solver.cpp                                               |  212 -
 Uno-2.9.2-1/Uno/inst/HiGHS/highs/ipm/hipo/ipm/Solver.h                                                 |    6 
 Uno-2.9.2-1/Uno/inst/HiGHS/highs/lp_data/HConst.h                                                      |   37 
 Uno-2.9.2-1/Uno/inst/HiGHS/highs/lp_data/HStruct.h                                                     |   46 
 Uno-2.9.2-1/Uno/inst/HiGHS/highs/lp_data/Highs.cpp                                                     |  438 ++-
 Uno-2.9.2-1/Uno/inst/HiGHS/highs/lp_data/HighsIis.cpp                                                  |   14 
 Uno-2.9.2-1/Uno/inst/HiGHS/highs/lp_data/HighsInfo.cpp                                                 |    9 
 Uno-2.9.2-1/Uno/inst/HiGHS/highs/lp_data/HighsInfo.h                                                   |   20 
 Uno-2.9.2-1/Uno/inst/HiGHS/highs/lp_data/HighsInterface.cpp                                            |  518 +++-
 Uno-2.9.2-1/Uno/inst/HiGHS/highs/lp_data/HighsLp.cpp                                                   |    5 
 Uno-2.9.2-1/Uno/inst/HiGHS/highs/lp_data/HighsLpSolverObject.h                                         |   12 
 Uno-2.9.2-1/Uno/inst/HiGHS/highs/lp_data/HighsLpUtils.cpp                                              |   25 
 Uno-2.9.2-1/Uno/inst/HiGHS/highs/lp_data/HighsLpUtils.h                                                |    2 
 Uno-2.9.2-1/Uno/inst/HiGHS/highs/lp_data/HighsModelUtils.cpp                                           |    8 
 Uno-2.9.2-1/Uno/inst/HiGHS/highs/lp_data/HighsOptions.cpp                                              |  211 -
 Uno-2.9.2-1/Uno/inst/HiGHS/highs/lp_data/HighsOptions.h                                                |   81 
 Uno-2.9.2-1/Uno/inst/HiGHS/highs/lp_data/HighsRunData.cpp                                              |only
 Uno-2.9.2-1/Uno/inst/HiGHS/highs/lp_data/HighsRunData.h                                                |only
 Uno-2.9.2-1/Uno/inst/HiGHS/highs/lp_data/HighsSolution.cpp                                             |   67 
 Uno-2.9.2-1/Uno/inst/HiGHS/highs/lp_data/HighsSolution.h                                               |    4 
 Uno-2.9.2-1/Uno/inst/HiGHS/highs/lp_data/HighsSolve.cpp                                                |   39 
 Uno-2.9.2-1/Uno/inst/HiGHS/highs/meson.build                                                           |   44 
 Uno-2.9.2-1/Uno/inst/HiGHS/highs/mip/HighsCliqueTable.cpp                                              |   34 
 Uno-2.9.2-1/Uno/inst/HiGHS/highs/mip/HighsCliqueTable.h                                                |   17 
 Uno-2.9.2-1/Uno/inst/HiGHS/highs/mip/HighsConflictPool.cpp                                             |   85 
 Uno-2.9.2-1/Uno/inst/HiGHS/highs/mip/HighsConflictPool.h                                               |   18 
 Uno-2.9.2-1/Uno/inst/HiGHS/highs/mip/HighsCutGeneration.cpp                                            |   91 
 Uno-2.9.2-1/Uno/inst/HiGHS/highs/mip/HighsCutGeneration.h                                              |   14 
 Uno-2.9.2-1/Uno/inst/HiGHS/highs/mip/HighsCutPool.cpp                                                  |  205 +
 Uno-2.9.2-1/Uno/inst/HiGHS/highs/mip/HighsCutPool.h                                                    |   48 
 Uno-2.9.2-1/Uno/inst/HiGHS/highs/mip/HighsDebugSol.cpp                                                 |    8 
 Uno-2.9.2-1/Uno/inst/HiGHS/highs/mip/HighsDomain.cpp                                                   |  357 +-
 Uno-2.9.2-1/Uno/inst/HiGHS/highs/mip/HighsDomain.h                                                     |   41 
 Uno-2.9.2-1/Uno/inst/HiGHS/highs/mip/HighsImplications.cpp                                             |  121 
 Uno-2.9.2-1/Uno/inst/HiGHS/highs/mip/HighsImplications.h                                               |    9 
 Uno-2.9.2-1/Uno/inst/HiGHS/highs/mip/HighsLpRelaxation.cpp                                             |  239 +
 Uno-2.9.2-1/Uno/inst/HiGHS/highs/mip/HighsLpRelaxation.h                                               |   39 
 Uno-2.9.2-1/Uno/inst/HiGHS/highs/mip/HighsMipSolver.cpp                                                | 1252 ++++++----
 Uno-2.9.2-1/Uno/inst/HiGHS/highs/mip/HighsMipSolver.h                                                  |   23 
 Uno-2.9.2-1/Uno/inst/HiGHS/highs/mip/HighsMipSolverData.cpp                                            |  752 +++---
 Uno-2.9.2-1/Uno/inst/HiGHS/highs/mip/HighsMipSolverData.h                                              |  110 
 Uno-2.9.2-1/Uno/inst/HiGHS/highs/mip/HighsMipWorker.cpp                                                |only
 Uno-2.9.2-1/Uno/inst/HiGHS/highs/mip/HighsMipWorker.h                                                  |only
 Uno-2.9.2-1/Uno/inst/HiGHS/highs/mip/HighsNodeQueue.cpp                                                |    9 
 Uno-2.9.2-1/Uno/inst/HiGHS/highs/mip/HighsNodeQueue.h                                                  |    4 
 Uno-2.9.2-1/Uno/inst/HiGHS/highs/mip/HighsPathSeparator.cpp                                            |    3 
 Uno-2.9.2-1/Uno/inst/HiGHS/highs/mip/HighsPrimalHeuristics.cpp                                         |  556 ++--
 Uno-2.9.2-1/Uno/inst/HiGHS/highs/mip/HighsPrimalHeuristics.h                                           |   65 
 Uno-2.9.2-1/Uno/inst/HiGHS/highs/mip/HighsPseudocost.cpp                                               |    6 
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 Uno-2.9.2-1/Uno/inst/HiGHS/highs/qpsolver/factor.hpp                                                   |   30 
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Package TEMPO updated to version 0.2.0 with previous version 0.1.0 dated 2026-10-02

Title: Tools for Romania's National Institute of Statistics Tempo Data
Description: Find, inspect and download statistical tables from the Romanian National Institute of Statistics' TEMPO Online database. Tables can be listed and searched in Romanian or English, their structure inspected before downloading, and whole tables or filtered selections retrieved either as data frames or as CSV files that are kept up to date between sessions.
Author: Marian Necula [aut, cre], Bogdan Oancea [aut], Ana Maria Tiru [aut]
Maintainer: Marian Necula <marian.necula00@gmail.com>

Diff between TEMPO versions 0.1.0 dated 2026-10-02 and 0.2.0 dated 2026-10-30

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Package slendr updated to version 1.6.0 with previous version 1.5.0 dated 2026-06-26

Title: A Simulation Framework for Spatiotemporal Population Genetics
Description: A framework for simulating spatially explicit genomic data which leverages real cartographic information for programmatic and visual encoding of spatiotemporal population dynamics on real geographic landscapes. Population genetic models are then automatically executed by the 'SLiM' software by Haller et al. (2019) <doi:10.1093/molbev/msy228> behind the scenes, using a custom built-in simulation 'SLiM' script. Additionally, fully abstract spatial models not tied to a specific geographic location are supported, and users can also simulate data from standard, non-spatial, random-mating models. These can be simulated either with the 'SLiM' built-in back-end script, or using an efficient coalescent population genetics simulator 'msprime' by Baumdicker et al. (2022) <doi:10.1093/genetics/iyab229> with a custom-built 'Python' script bundled with the R package. Simulated genomic data is saved in a tree-sequence format and can be loaded, manipulated, and summarised using tree-sequen [...truncated...]
Author: Martin Petr [aut, cre]
Maintainer: Martin Petr <contact@bodkan.net>

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Package NormGen updated to version 0.0.7 with previous version 0.0.6 dated 2026-10-22

Title: An Efficient and Precise Quantile Mapping for Normal Pseudo-Random Number Generation
Description: High-performance pseudo-normal random generator using an optimized quantile mapping algorithm. It provides fast generation of normal pseudo-random numbers based on precise mathematical approximations. The package features Rnorm() for efficient single-threaded generation and parallel_Rnorm(), a high-performance, multithreaded variant powered by 'RcppParallel' and Intel 'TBB'. Package compilation flags are optimized to support multi-core parallel processing. Renamed parallel_Rnorm() to PRnorm() for brevity.
Author: Piotr Sulewski [aut, cre]
Maintainer: Piotr Sulewski <piotr.sulewski@upsl.edu.pl>

Diff between NormGen versions 0.0.6 dated 2026-10-22 and 0.0.7 dated 2026-10-30

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Package steppedwedge updated to version 1.1.0 with previous version 1.0.0 dated 2025-02-21

Title: Analyze Data from Stepped Wedge Cluster Randomized Trials
Description: Provide various functions and tools to help fit models for estimating treatment effects in stepped wedge cluster randomized trials. Implements methods described in Kenny, Voldal, Xia, and Heagerty (2022) "Analysis of stepped wedge cluster randomized trials in the presence of a time-varying treatment effect", <doi:10.1002/sim.9511>.
Author: Avi Kenny [aut, cre, cph], David Arthur [aut], Yongdong Ouyang [aut]
Maintainer: Avi Kenny <avi.kenny@gmail.com>

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Package reportRmd updated to version 0.1.4 with previous version 0.1.3 dated 2026-03-20

Title: Tidy Presentation of Clinical Reporting
Description: Streamlined statistical reporting in 'Rmarkdown' environments. Facilitates the automated reporting of descriptive statistics, multiple univariate models, multivariable models and tables combining these outputs. Plotting functions include customisable survival curves, forest plots from logistic and ordinal regression and bivariate comparison plots.
Author: Lisa Avery [cre, aut] , Ryan Del Bel [aut], Osvaldo Espin-Garcia [aut], Katherine Lajkosz [aut] , Clarina Ong [aut], Tyler Pittman [aut] , Anna Santiago [aut] , Yanning Wang [ctr], Jessica Weiss [aut], Wei Xu [aut]
Maintainer: Lisa Avery <lisa.avery@uhn.ca>

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Package fido updated to version 1.1.5 with previous version 1.1.2 dated 2025-02-27

Title: Bayesian Multinomial Logistic Normal Regression
Description: Provides methods for fitting and inspection of Bayesian Multinomial Logistic Normal Models using MAP estimation and Laplace Approximation as developed in Silverman et. Al. (2022) <https://www.jmlr.org/papers/v23/19-882.html>. Key functionality is implemented in C++ for scalability. 'fido' replaces the previous package 'stray'.
Author: Justin Silverman [aut, cre], Kim Roche [ctb], Michelle Nixon [ctb]
Maintainer: Justin Silverman <JustinSilverman@psu.edu>

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Package NNS updated to version 13.3 with previous version 13.2 dated 2026-08-03

Title: Nonlinear Nonparametric Statistics
Description: NNS (Nonlinear Nonparametric Statistics) leverages partial moments – the fundamental elements of variance that asymptotically approximate the area under f(x) – to provide a robust foundation for nonlinear analysis while maintaining linear equivalences. Designed for real-world data that violates symmetry, linearity, or distributional assumptions, NNS delivers a comprehensive suite of advanced statistical techniques, including: Numerical integration, Numerical differentiation, Clustering, Correlation, Dependence, Causal analysis, ANOVA, Regression, Classification, Seasonality, Autoregressive modeling, Normalization, Stochastic superiority / dominance and Advanced Monte Carlo sampling. All routines based on: Viole, F. and Nawrocki, D. (2013), Nonlinear Nonparametric Statistics: Using Partial Moments (ISBN: 1490523995, Second edition: <https://ovvo-financial.github.io/NNS/book/>).
Author: Fred Viole [aut, cre], Roberto Spadim [ctb], Rasheed Khoshnaw [ctb]
Maintainer: Fred Viole <ovvo.open.source@gmail.com>

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Package nixmass updated to version 1.4.0 with previous version 1.3.1 dated 2025-05-09

Title: Snow Water Equivalent Modeling with the 'Delta.snow' and 'HS2SWE' Models and Empirical Regression Models
Description: Snow water equivalent is modeled with the process based models 'delta.snow' and 'HS2SWE' and empirical regression, which use relationships between density and diverse at-site parameters. The methods are described in Winkler et al. (2021) <doi:10.5194/hess-25-1165-2021>, Magnusson et al. (2025) <doi:10.1016/j.coldregions.2025.104435>, Guyennon et al. (2019) <doi:10.1016/j.coldregions.2019.102859>, Pistocchi (2016) <doi:10.1016/j.ejrh.2016.03.004>, Jonas et al. (2009) <doi:10.1016/j.jhydrol.2009.09.021> and Sturm et al. (2010) <doi:10.1175/2010JHM1202.1>.
Author: Harald Schellander [aut, cre, cph], Michael Winkler [ctb, cph], Jakob Werkgarner [ctb]
Maintainer: Harald Schellander <harald.schellander@geosphere.at>

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Package cdcanthro updated to version 0.5.0 with previous version 0.4.0 dated 2026-08-31

Title: Standardized Metrics Based on the CDC and WHO Growth Charts
Description: Calculation of sex- and age-standardized growth metrics using the LMS method (lambda-mu-sigma). The package includes functions for the CDC Growth Charts (cdc_z) and the WHO Charts (who_z). Because CDC recommends using the WHO Charts for children under 24 months and the CDC Charts among older children, there can be large differences at age 2.0 years. For example, a girl weighing 9.9 kg would be at the WHO 10th percentile on the day before her second birthday, but at the CDC 2nd percentile the following day. The 'gradual_z' function reduces the differences among 2- to 5-year-olds by taking a weighted average of the CDC and WHO z-scores.
Author: David Freedman [aut, cre] , Carrie Daymont [ctb]
Maintainer: David Freedman <DavidSFreedman@gmail.com>

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Package autograph updated to version 1.2.8 with previous version 1.2.6 dated 2026-10-07

Title: Automatic Plotting and Theming of Many Graphs
Description: Visual exploration and presentation of networks should not be difficult. This package includes functions for plotting networks and network-related metrics with sensible and pretty defaults. It includes 'ggplot2'-based plot methods for many popular network package classes. It also includes some novel layout algorithms, and options for straightforward, consistent themes.
Author: James Hollway [cre, aut, ctb] , Henrique Sposito [ctb]
Maintainer: James Hollway <james.hollway@graduateinstitute.ch>

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Package SVEMnet updated to version 3.6.3 with previous version 3.6.2 dated 2026-09-18

Title: Self-Validated Ensemble Models with Lasso and Relaxed Elastic Net Regression
Description: Implements the self-validated elastic-net and relaxed elastic-net ensemble modeling and multi-response optimization workflow described in Karl (2026) <doi:10.1016/j.chemolab.2026.105660>. Self-validated ensemble models (SVEM; Lemkus et al. (2021) <doi:10.1016/j.chemolab.2021.104439>) are fitted for small-sample design-of-experiments and related workflows using 'glmnet' (Friedman et al. (2010) <doi:10.18637/jss.v033.i01>). Fractional random-weight bootstraps with anti-correlated validation copies are used to tune penalty paths by validation-weighted AIC/BIC. Supports Gaussian and binomial responses, deterministic expansion helpers for shared factor spaces, prediction with bootstrap uncertainty, and a random-search optimizer that respects mixture constraints and combines multiple responses via desirability functions. Also includes a permutation-based whole-model test for Gaussian SVEM fits (Karl (2024) <doi:10.1016/j.chemolab.2024.105122>). Package code was drafte [...truncated...]
Author: Andrew T. Karl [cre, aut]
Maintainer: Andrew T. Karl <akarl@asu.edu>

Diff between SVEMnet versions 3.6.2 dated 2026-09-18 and 3.6.3 dated 2026-10-30

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More information about SVEMnet at CRAN
Permanent link

Package uci updated to version 1.0.0 with previous version 0.3.1 dated 2025-11-07

Title: Urban Centrality Index
Description: Calculates the Urban Centrality Index (UCI) as in Pereira et al., (2013) <doi:10.1111/gean.12002>. The UCI measures the extent to which the spatial organization of a city or region varies from extreme polycentric to extreme monocentric in a continuous scale from 0 to 1. Values closer to 0 indicate more polycentric patterns and values closer to 1 indicate a more monocentric urban form.
Author: Rafael H. M. Pereira [aut, cre]
Maintainer: Rafael H. M. Pereira <rafa.pereira.br@gmail.com>

Diff between uci versions 0.3.1 dated 2025-11-07 and 1.0.0 dated 2026-10-30

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More information about uci at CRAN
Permanent link

Package ReVAMP updated to version 1.1.0 with previous version 1.0.1 dated 2025-12-22

Title: Interface to 'Vamp' Audio Analysis Plugins
Description: Provides an interface to the 'Vamp' audio analysis plugin system <https://www.vamp-plugins.org/> developed by Queen Mary University of London's Centre for Digital Music. Enables loading and running 'Vamp' plugins for various audio analysis tasks including tempo detection, onset detection, spectral analysis, and audio feature extraction. Supports mono and stereo audio with automatic channel adaptation and domain conversion.
Author: Ed Baker [aut, cre] , Authors of vamp-sdk [cph] , Mark Borgerding [cph]
Maintainer: Ed Baker <ed@ebaker.me.uk>

Diff between ReVAMP versions 1.0.1 dated 2025-12-22 and 1.1.0 dated 2026-10-30

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More information about ReVAMP at CRAN
Permanent link

Package mlr3torch updated to version 0.4.0 with previous version 0.3.3 dated 2026-01-31

Title: Deep Learning with 'mlr3'
Description: Deep Learning library that extends the mlr3 framework by building upon the 'torch' package. It makes it convenient to build, train, and evaluate deep learning models without having to worry about low level details. Custom architectures can be created using the graph language defined in 'mlr3pipelines'.
Author: Sebastian Fischer [cre, aut] , Bernd Bischl [ctb] , Lukas Burk [ctb] , Martin Binder [aut], Florian Pfisterer [ctb] , Carson Zhang [ctb]
Maintainer: Sebastian Fischer <sebf.fischer@gmail.com>

Diff between mlr3torch versions 0.3.3 dated 2026-01-31 and 0.4.0 dated 2026-10-30

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Package TesiproV updated to version 1.0.1 with previous version 1.0.0 dated 2026-10-28

Title: Reliability Analysis Methods for Structural Engineering
Description: Calculate the failure probability of civil engineering problems with Level I up to Level III Methods. References: Spaethe (1991, ISBN:3-211-82348-4) "Die Sicherheit tragender Baukonstruktionen", Au and Beck (2001) "Estimation of small failure probabilities in high dimensions by subset simulation." <doi:10.1016/S0266-8920(01)00019-4>, Breitung (1989) "Asymptotic approximations for probability integrals." <doi:10.1016/0266-8920(89)90024-6>.
Author: Konstantin Nille-Hauf [aut], Tania Feiri [aut], Marcus Ricker [aut], Jan Phillip Schulze-Ardey [ctb], Til Lux [aut, cre]
Maintainer: Til Lux <til.lux@tu-dortmund.de>

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Package rdborrow updated to version 0.0.5.1 with previous version 0.0.5.0 dated 2026-10-08

Title: External Control Borrowing for Rare Disease Trials
Description: Implements causal inference methods for incorporating external control data into randomized controlled trials (RCTs) with longitudinal outcomes. Provides an analysis module supporting weighting-based methods such as inverse probability weighting (IPW) and augmented inverse probability weighting (AIPW), difference-in-differences (DID), and synthetic control approaches for borrowing external control information, as well as a simulation module for generating trial and external control data, evaluating estimator performance via Monte Carlo studies, and conducting power analyses for sample size determination. Methods are based on Zhou et al. (2025) <doi:10.1093/jrsssa/qnae075> and Zhou et al. (2024) <doi:10.1080/10543406.2024.2330209>.
Author: Lei Shi [aut], Matt Secrest [cre, aut] , Herbert Pang [aut], Chen Chen [aut], Jiawen Zhu [aut], Genentech, Inc. [cph]
Maintainer: Matt Secrest <secrmatt@gmail.com>

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Package ivDiag updated to version 1.0.7 with previous version 1.0.6 dated 2023-09-17

Title: Estimation and Diagnostic Tools for Instrumental Variables Designs
Description: Estimation and diagnostic tools for instrumental variables designs with one endogenous treatment, implementing the guidelines in Lal, Lockhart, Xu, and Zu (2024) <doi:10.1017/pan.2024.2>. The package reports ordinary least squares and two-stage least squares estimates with analytic and bootstrapped confidence intervals, several first-stage F statistics including the effective F statistic, the Anderson-Rubin test and its confidence set, the tF procedure of Lee, McCrary, Moreira, and Porter (2022) <doi:10.1257/aer.20211063>, and local-to-zero sensitivity tests. It also supports fuzzy regression discontinuity designs.
Author: Apoorva Lal [aut] , Yiqing Xu [aut, cre]
Maintainer: Yiqing Xu <yiqingxu@stanford.edu>

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Package inkaR updated to version 0.7.0 with previous version 0.6.6 dated 2026-06-29

Title: Download and Analyze Spatial Development Data from 'INKAR'
Description: A professional R interface to download and analyze spatial development indicators from the 'BBSR' 'INKAR' (Indicators and Maps for Spatial and Urban Development) database. Features a bilingual interactive wizard, fuzzy and normalized indicator search, multi-indicator downloads with automatic tidy merging (long/wide), guaranteed consistent output schema, robust disk caching with automatic retry, and 'ggplot2' themes for regional mapping. Map boundaries come from 'Eurostat' 'GISCO' <https://ec.europa.eu/eurostat/web/gisco> and match the territorial status used by 'INKAR'.
Author: Omer Furkan Coban [aut, cre]
Maintainer: Omer Furkan Coban <oemer.furkan.coban@uni-oldenburg.de>

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Package HQM updated to version 2.2 with previous version 2.1 dated 2026-03-26

Title: Superefficient Estimation of Future Conditional Hazards Based on Marker Information
Description: Provides univariate and indexed (multivariate) nonparametric smoothed kernel estimators for the future conditional hazard rate function when time-dependent covariates are present, a bandwidth selector for the estimator's implementation and pointwise and uniform confidence bands. Methods used in the package refer to Bagkavos, Isakson, Mammen, Nielsen and Proust-Lima (2025) <doi:10.1093/biomet/asaf008>.
Author: Dimitrios Bagkavos [aut, cre], Alex Isakson [ctb], Enno Mammen [ctb], Jens Nielsen [ctb], Cecile Proust-Lima [ctb]
Maintainer: Dimitrios Bagkavos <dimitrios.bagkavos@gmail.com>

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Package glasstabs updated to version 0.4.1 with previous version 0.4.0 dated 2026-09-11

Title: Animated Glass-Style Tabs and Select Inputs for 'Shiny'
Description: Tools for creating animated glassmorphism-style tab navigation and select filter widgets in 'Shiny' applications. Provides a tab navigation component with a sliding glass halo animation, a searchable multi-select dropdown, and a single-select dropdown - all with multiple colour themes and server-side update helpers. Tabs support icons, numeric badges, disable/enable toggling, runtime append/remove, reactive rendering via 'renderGlassTabs()', URL bookmarking, responsive overflow modes, optional touch gestures, reduced-motion support, and compact mode for dashboard card layouts. 'glassTabCondition()' generates 'conditionalPanel()' condition strings without needing to recall the internal input key pattern. 'glasstabs_news()' displays the release notes from the R console. Built-in example apps can be launched with 'runGlassExample()'. All widgets are compatible with standard 'Shiny' layouts and 'bs4Dash' dashboards and 'bslib' themed applications. An experimental 'glassPage()' helper prov [...truncated...]
Author: George Arthur [aut, cre]
Maintainer: George Arthur <prigasgenthian48@gmail.com>

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Package ggmGraphEditor updated to version 0.2.0 with previous version 0.1.0 dated 2026-10-20

Title: Interactive Graph Layout Editor for Mixed Graphs
Description: Provides an interactive interface to plot and layout mixed graphs based on the adjacency matrix defined in Sadeghi and Marchetti (2012) <doi:10.32614/RJ-2012-015>. Uses 'shiny' and 'visNetwork' to allow dynamic node repositioning and coordinate extraction.
Author: Giovanni M. Marchetti [aut, cre] , Kayvan Sadeghi [aut]
Maintainer: Giovanni M. Marchetti <giovanni.marchetti@unifi.it>

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Package GaussSuppression updated to version 1.3.2 with previous version 1.3.0 dated 2026-02-26

Title: Tabular Data Suppression using Gaussian Elimination
Description: A statistical disclosure control tool to protect tables by suppression using the Gaussian elimination secondary suppression algorithm (Langsrud, 2024) <doi:10.1007/978-3-031-69651-0_6>. A suggestion is to start by working with functions SuppressSmallCounts() and SuppressDominantCells(). These functions use primary suppression functions for the minimum frequency rule and the dominance rule, respectively. Novel functionality for targeted attribute disclosure protection is also included. See Langsrud (2026) <doi:10.1007/978-3-032-37883-5_8> and references therein. General primary suppression functions can be supplied as input to the general working horse function, GaussSuppressionFromData(). Suppressed frequencies can be replaced by synthetic decimal numbers as described in Langsrud (2019) <doi:10.1007/s11222-018-9848-9>. This approach can also be used as a flexible tool for suppression of post-published tabular data (Langsrud and Bøvelstad, 2022) <doi:10.1007/978-3-0 [...truncated...]
Author: Oeyvind Langsrud [aut, cre] , Daniel Lupp [aut] , Hege Boevelstad [ctb] , Vidar Norstein Klungre [rev] , Jonas Lindblad [ctb], Statistics Norway [cph]
Maintainer: Oeyvind Langsrud <oyl@ssb.no>

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Package contdid updated to version 0.1.2 with previous version 0.1.1 dated 2026-07-21

Title: Difference-in-Differences with a Continuous Treatment
Description: Provides methods for difference-in-differences with a continuous treatment and staggered treatment adoption. Includes estimation of treatment effects and causal responses as a function of the dose, event studies indexed by length of exposure to the treatment, and aggregation into overall average effects. Uniform inference procedures are included, along with both parametric and nonparametric models for treatment effects. The methods are based on Callaway, Goodman-Bacon, and Sant'Anna (2025) <doi:10.48550/arXiv.2107.02637>.
Author: Brantly Callaway [aut, cre], Andrew Goodman-Bacon [aut], Pedro H. C. Sant'Anna [aut]
Maintainer: Brantly Callaway <brantly.callaway@uga.edu>

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Package BIOdry updated to version 0.9.6 with previous version 0.9.5 dated 2026-10-29

Title: Multilevel Modeling of Dendroclimatical Fluctuations
Description: Processes multilevel ecological data series (MEDS) arranged in temporal or spatial hierarchies defined by sampling designs. The package recursively applies one-level stage functions to long-format tree-ring and climate data, then optionally fits a terminal model to the processed series. Terminal fits currently include mixed-effects detrending through 'nlme' and Friedman supersmoother detrending through supsmu() of 'stats'. The package also supports post-detrending comparison and inference tools for multilevel dendroclimatic analyses. The method is described in Lara et al. (2018) <doi:10.1371/journal.pone.0196923>.
Author: Wilson Lara-Henao [aut, cre] , Felipe Bravo [aut]
Maintainer: Wilson Lara-Henao <wilarhen@gmail.com>

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Package transferegovr updated to version 0.3.0 with previous version 0.2.0 dated 2026-09-28

Title: Access the 'TransfereGov' Open Data APIs
Description: Provides a modern interface to the open data application programming interfaces of the Brazilian federal government's 'TransfereGov' platform (<https://www.gov.br/transferegov/pt-br/ferramentas-gestao/dados-abertos>). Covers the discretionary and legal transfers, special transfers, fund-to-fund transfers, partnership management, and decentralized credit ('TED') modules, which together publish eighty-six tables on action plans, programs, proposals, partnerships, budget commitments, credit notes, financial execution, management reports, and payment orders. Filters are the services' own typed query parameters, validated against the published schema before a request is made, and results are returned as tidy tibbles with types taken from that schema. Automatic pagination, request throttling, retries with exponential backoff, and an optional response cache are included.
Author: Andre Leite [aut, cre] , Marcos Wasiliew [aut] , Hugo Vasconcelos [aut] , Carlos Amorim [aut] , Diogo Bezerra [aut] , Julia Nascimento Barreto [aut]
Maintainer: Andre Leite <leite@castlab.org>

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Package hydrogeofetch updated to version 2.0.5 with previous version 2.0.4 dated 2026-09-09

Title: Hydrologic Geospatial Fabric Extraction Tool Chain
Description: Traverses and works with National Hydrography Dataset Plus (NHDPlus) data. All methods implemented in 'hydrogeofetch' are available in the NHDPlus documentation available from the US Environmental Protection Agency <https://www.epa.gov/waterdata/basic-information>. Previously published as 'nhdplusTools'.
Author: David Blodgett [aut, cre] , Mike Johnson [ctb] , Marc Weber [ctb] , Josh Erickson [ctb], Lauren Koenig [ctb]
Maintainer: David Blodgett <dblodgett@usgs.gov>

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Package GeoModels updated to version 2.3.0 with previous version 2.2.9 dated 2026-09-23

Title: Procedures for Gaussian and Non Gaussian Geostatistical (Large) Data Analysis
Description: Functions for Gaussian and Non Gaussian (bivariate) spatial and spatio-temporal data analysis are provided for a) (fast) simulation of random fields, b) inference for random fields using standard likelihood and a likelihood approximation method called weighted composite likelihood based on pairs and b) prediction using (local) best linear unbiased prediction. Weighted composite likelihood can be very efficient for estimating massive datasets. Both regression and spatial (temporal) dependence analysis can be jointly performed. Flexible covariance models for spatial and spatial-temporal data on Euclidean domains and spheres are provided. There are also many useful functions for plotting and performing diagnostic analysis. Different non Gaussian random fields can be considered in the analysis. Among them, random fields with marginal distributions such as Skew-Gaussian, Student-t, Tukey-h, Sin-Arcsin, Two-piece, Weibull, Gamma, Log-Gaussian, Binomial, Negative Binomial and Poisson. Se [...truncated...]
Author: Moreno Bevilacqua [aut, cre, cph], Victor Morales-Onate [ctb], Francisco Cuevas-Pacheco [ctb], Christian Caamano-Carrillo [ctb]
Maintainer: Moreno Bevilacqua <moreno.bevilacqua89@gmail.com>

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Package GAS readmission to version 0.4.3 with previous version 0.3.4.1 dated 2024-08-19

Title: Generalized Autoregressive Score Models
Description: Simulation, estimation and forecasting of univariate and multivariate generalized autoregressive score models. Time-varying distributional parameters are updated using the score of the conditional distribution, with alternative score scaling specifications. Provides maximum likelihood estimation, filtering, density forecasting and rolling forecast evaluation for a range of conditional distributions. Includes diagnostic tools and methods for evaluating Value-at-Risk and Expected Shortfall forecasts. The models and their applications are described in Ardia et al. (2019) <doi:10.18637/jss.v088.i06>.
Author: Leopoldo Catania [aut, cre] , David Ardia [ctb] , Kris Boudt [ctb]
Maintainer: Leopoldo Catania <leopoldo.catania@econ.au.dk>

This is a re-admission after prior archival of version 0.3.4.1 dated 2024-08-19

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Package mfrmr updated to version 0.2.4 with previous version 0.2.3.1 dated 2026-08-25

Title: Estimation and Diagnostics for Many-Facet Measurement Models
Description: Estimates many-facet ordered-response measurement models with arbitrary facet counts, rating-scale and partial-credit parameterizations, a generalized partial-credit extension with discrimination varying across levels of one selected facet. Marginal maximum likelihood permits a different facet to own category steps; joint maximum likelihood requires the same facet for both roles. Conditional maximum likelihood fits many-facet rating-scale and partial-credit models by conditioning on person totals, with structural contrast intervals and no assumed ability distribution. Experimental two-family estimation and conditional scoring retain explicit uncertainty limitations. The fit, diagnose and report workflow covers anchoring, linking, bias and differential-functioning screening, with saved results for replay. Observed-score generalizability and decision studies support assessment planning under declared rating designs. Agreement, rater feedback and conditional classification summaries conne [...truncated...]
Author: Ryuya Komuro [aut, cre, cph]
Maintainer: Ryuya Komuro <ryuya.komuro.c4@tohoku.ac.jp>

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Package kvh updated to version 1.5.1 with previous version 1.5.0 dated 2026-09-08

Title: Read/Write Files in Key-Value-Hierarchy Format
Description: The format KVH is a lightweight format that can be read/written both by humans and machines. It can be useful in situations where XML or alike formats seem to be an overkill. We provide an ability to parse KVH files in R pretty fast due to 'Rcpp' use.
Author: Serguei Sokol [aut, cre]
Maintainer: Serguei Sokol <sokol@insa-toulouse.fr>

Diff between kvh versions 1.5.0 dated 2026-09-08 and 1.5.1 dated 2026-10-30

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Package ast2ast updated to version 1.1.2 with previous version 1.1.1 dated 2026-10-26

Title: Translates an R Function to a C++ Function
Description: Enable translation of a tiny subset of R to C++. The user has to define a R function which gets translated. For a full list of possible functions check the documentation. After translation an R function is returned which is a shallow wrapper around the C++ code. Alternatively an external pointer to the C++ function is returned to the user. The intention of the package is to generate fast functions which can be used as ode-system or during optimization.
Author: Kraemer Konrad [aut, cre]
Maintainer: Kraemer Konrad <konrad_kraemer@yahoo.de>

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Package spdesign updated to version 0.0.8 with previous version 0.0.7 dated 2026-10-06

Title: Designing Stated Preference Experiments
Description: Contemporary software commonly used to design stated preference experiments are expensive and the code is closed source. This is a free software package with an easy to use interface to make flexible stated preference experimental designs using state-of-the-art methods. For an overview of stated choice experimental design theory, see e.g., Rose, J. M. & Bliemer, M. C. J. (2014) in Hess S. & Daly. A. <doi:10.4337/9781781003152>. The package website can be accessed at <https://spdesign.edsandorf.me>. We acknowledge funding from the European Union's Horizon 2020 research and innovation program under the Marie Sklodowska-Curie grant INSPiRE (Grant agreement ID: 793163). The package features in Mariel et al. (2025) Environmental Valuation with Discrete Choice Experiments in R. (<doi:10.1007/978-3-031-89338-4>).
Author: Erlend Dancke Sandorf [aut, cre], Danny Campbell [aut]
Maintainer: Erlend Dancke Sandorf <erlend.dancke.sandorf@nmbu.no>

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Package ipw updated to version 1.3.1 with previous version 1.3.0 dated 2026-01-27

Title: Estimate Inverse Probability Weights
Description: Functions to estimate the probability to receive the observed treatment, based on individual characteristics. The inverse of these probabilities can be used as weights when estimating causal effects from observational data via marginal structural models. Both point treatment situations and longitudinal studies can be analysed. The same functions can be used to correct for informative censoring.
Author: Hung Thai Tran [aut, cre], Willem M. van der Wal [aut], Ronald B. Geskus [aut]
Maintainer: Hung Thai Tran <hungtt@oucru.org>

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Package DSIR updated to version 0.13.0 with previous version 0.11.0 dated 2026-10-12

Title: Data Science Infrastructure for Global Health
Description: Supports global health data analysis, including a publication-ready 'ggplot2' theme, a 'flextable' defaults helper, a thin pie chart wrapper, built-in regional country-code datasets with a WHO region lookup helper, a geometric mean function for indicator aggregation, an average annual rate of reduction function for indicator progress tracking, direct age standardization against the bundled WHO 2026 Standard Population, period life-table construction, a snapshot helper for reproducible data pulls, and convenience clients for the World Health Organization Global Health Observatory (GHO) through its legacy OData API <https://www.who.int/data/gho/info/gho-odata-api> or the public WHO xMart OData API <https://xmart-api-public.who.int/DATA_>, Global Health Estimates (GHE) through WHO xMart, and the United Nations Sustainable Development Goals (SDG) API <https://unstats.un.org/SDGAPI/swagger/>.
Author: Shanlong Ding [aut, cre]
Maintainer: Shanlong Ding <dings@who.int>

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Package wordvector updated to version 0.6.6 with previous version 0.6.5 dated 2026-10-08

Title: Word and Document Vector Models
Description: Create dense vector representation of words and documents using 'quanteda'. Implements Word2vec (Mikolov et al., 2013) <doi:10.48550/arXiv.1310.4546>, Doc2vec (Le & Mikolov, 2014) <doi:10.48550/arXiv.1405.4053> and Latent Semantic Analysis (Deerwester et al., 1990) <doi:10.1002/(SICI)1097-4571(199009)41:6%3C391::AID-ASI1%3E3.0.CO;2-9>.
Author: Kohei Watanabe [aut, cre, cph] , Jan Wijffels [aut] , BNOSAC [cph] , Max Fomichev [ctb, cph]
Maintainer: Kohei Watanabe <watanabe.kohei@gmail.com>

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Package WHORiskCalculator updated to version 1.1.0 with previous version 1.0.0 dated 2026-04-07

Title: WHO Cardiovascular Disease Risk Calculator
Description: Implements the 2019 World Health Organization (WHO) cardiovascular disease (CVD) risk prediction models, as described in Kaptoge et al. (2019) <doi:10.1016/S2214-109X(19)30318-3>. Provides two validated models for estimating 10-year risk of fatal and non-fatal cardiovascular events (myocardial infarction and stroke): a laboratory-based model using age, sex, systolic blood pressure, total cholesterol, smoking status, and diabetes history; and a non-laboratory-based model substituting body mass index (BMI) for cholesterol and diabetes, suitable for resource-limited settings. Risk estimates are recalibrated to 21 Global Burden of Disease regions (or to individual countries) using the authors' recalibration parameters, fitted to Global Burden of Disease 2017 incidence rates and Non-Communicable Disease Risk Factor Collaboration risk factor levels. Functions are fully vectorized for efficient batch calculations and support automatic country-to-region mapping via ISO 3166-1 alpha-3 cou [...truncated...]
Author: WHO CVD Risk Chart Working Group [aut], Andrea Pedot [cre, ctb]
Maintainer: Andrea Pedot <andrea.pedot@unimi.it>

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Package spbal updated to version 1.1.0 with previous version 1.0.1 dated 2025-03-28

Title: Spatially Balanced Sampling Algorithms
Description: Encapsulates a number of spatially balanced sampling algorithms, namely, Balanced Acceptance Sampling (equal, unequal, seed point, panels), Halton frames (for discretizing a continuous resource), Halton Iterative Partitioning (equal probability), Simple Random Sampling, Dynamic Assignment Sampling and Doubly balanced Dynamic Assignment Sampling. Robertson, B. L., Brown, J. A., McDonald, T. and Jaksons, P. (2013) <doi:10.1111/biom.12059>. Robertson, B. L., McDonald, T., Price, C. J. and Brown, J. A. (2017) <doi:10.1016/j.spl.2017.05.004>. Robertson, B. L., McDonald, T., Price, C. J. and Brown, J. A. (2018) <doi:10.1007/s10651-018-0406-6>. Robertson, B. L., van Dam-Bates, P. and Gansell, O. (2021a) <doi:10.1007/s10651-020-00481-1>. Robertson, B. L., Davies, P., Gansell, O., van Dam-Bates, P., McDonald, T. (2025) <doi:10.1111/anzs.12435>. Robertson, B.L., Price, C.J., Reale, M., Davies, P. (2026) <doi:10.1093/biomtc/ujag011>. Robertson, B.L., Price, C.J [...truncated...]
Author: Phil Davies [aut, cre], Blair Robertson [aut], Paul van Dam-Bates [aut], Oliver Gansell [aut]
Maintainer: Phil Davies <philip.davies@canterbury.ac.nz>

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Package SLPresElection updated to version 2.0.0 with previous version 1.1.0 dated 2026-10-14

Title: Presidential Election Data of "Sri Lanka" from 1982 to 2024
Description: Provides Sri Lankan presidential election results for 1982, 1988, 1994, 1999, 2005, 2010, 2015, 2019 and 2024. The datasets contain candidate vote counts, reported percentages, and summary statistics for polling divisions and district results, including postal and displaced votes where available. Results were extracted from PDF documents and prepared in a consistent tabular format.
Author: Amalan Mahendran [aut, cre]
Maintainer: Amalan Mahendran <amalan0595@gmail.com>

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Package slca updated to version 1.4.3 with previous version 1.4.2 dated 2026-10-27

Title: Structural Modeling for Multiple Latent Class Variables
Description: Provides comprehensive tools for the implementation of Structural Latent Class Models (SLCM), including Latent Transition Analysis (LTA; Linda M. Collins and Stephanie T. Lanza, 2009) <doi:10.1002/9780470567333>, Latent Class Profile Analysis (LCPA; Hwan Chung et al., 2010) <doi:10.1111/j.1467-985x.2010.00674.x>, and Joint Latent Class Analysis (JLCA; Saebom Jeon et al., 2017) <doi:10.1080/10705511.2017.1340844>, and any other extended models involving multiple latent class variables. Details on the methodology and implementation are given in Kim and Chung (2026) <doi:10.18637/jss.v117.i08>.
Author: Youngsun Kim [aut, cre] , Hwan Chung [aut]
Maintainer: Youngsun Kim <yskstat@gmail.com>

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Package sentopics updated to version 1.1.0 with previous version 1.0.1 dated 2026-09-10

Title: Tools for Joint Sentiment and Topic Analysis of Textual Data
Description: A framework that joins topic modeling and sentiment analysis of textual data. The package implements a fast Gibbs sampling estimation of Latent Dirichlet Allocation (Griffiths and Steyvers (2004) <doi:10.1073/pnas.0307752101>) and Joint Sentiment/Topic Model (Lin, He, Everson and Ruger (2012) <doi:10.1109/TKDE.2011.48>). It offers a variety of helpers and visualizations to analyze the result of topic modeling. The framework also allows enriching topic models with dates and externally computed sentiment measures. A flexible aggregation scheme enables the creation of time series of sentiment or topical proportions from the enriched topic models. Moreover, a novel method jointly aggregates topic proportions and sentiment measures to derive time series of topical sentiment.
Author: Olivier Delmarcelle [aut, cre] , Samuel Borms [ctb] , Chenghua Lin [cph] , Yulan He [cph] , Jose Bernardo [cph] , David Robinson [cph] ), Julia Silge [cph] , ORCID: <https://orcid.org/0000-0002-3671-836X>)
Maintainer: Olivier Delmarcelle <delmarcelle.olivier@gmail.com>

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Package Rtwalk updated to version 2.2.0 with previous version 2.1.0 dated 2026-08-28

Title: An MCMC Sampler Using the t-Walk Algorithm
Description: Implements the t-walk algorithm, a general-purpose, self-adjusting Markov Chain Monte Carlo (MCMC) sampler for continuous distributions as described by Christen & Fox (2010) <doi:10.1214/10-BA603>. The t-walk requires no tuning and is robust for a wide range of target distributions, including high-dimensional and multimodal problems. The sampler is implemented in C++ and validated against a pure R reference implementation of the published algorithm. The package supports reproducible parallel chains, continuation of runs, single transitions for hybrid samplers, and convergence diagnostics following Vehtari et al. (2021) <doi:10.1214/20-BA1221>.
Author: Rodrigo Fonseca Villa [aut, cre]
Maintainer: Rodrigo Fonseca Villa <rodrigo03.villa@gmail.com>

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Package riskmetric updated to version 0.2.8 with previous version 0.2.7 dated 2026-04-01

Title: Risk Metrics to Evaluating R Packages
Description: Facilities for assessing R packages against a number of metrics to help quantify their robustness.
Author: R Validation Hub [aut], Doug Kelkhoff [aut], Marly Gotti [aut], Eli Miller [cre, aut], Kevin K [aut], Yilong Zhang [aut], Eric Milliman [aut], Juliane Manitz [aut], Mark Padgham [ctb], PSI special interest group Application and Implementation of Meth [...truncated...]
Maintainer: Eli Miller <elimillera@gmail.com>

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Package qrcmNP updated to version 1.0.0 with previous version 0.2.2 dated 2025-07-25

Title: Nonlinear and Penalized Quantile Regression Coefficients Modeling
Description: Penalized and nonlinear parametric modeling of quantile regression coefficient functions. The penalized integrated loss minimization estimator (lasso and group lasso penalties) of Sottile, Frumento, Chiodi and Bottai (2020) <doi:10.1177/1471082X19825523> performs covariate selection using the information on all quantiles simultaneously. Nonlinear parametric quantile models, in which the conditional quantile function can be a nonlinear function of the parameters, of the covariates or both, are estimated by integrated loss minimization as in Bottai and Cilluffo (2020) <doi:10.1177/0962280220941159>. Both approaches extend the quantile regression coefficients modeling framework of Frumento and Bottai (2016) <doi:10.1111/biom.12410> implemented in 'qrcm'.
Author: Gianluca Sottile [aut, cre] , Paolo Frumento [aut, cph]
Maintainer: Gianluca Sottile <gianluca.sottile@unipa.it>

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Package PanelTM updated to version 1.2 with previous version 1.1 dated 2026-02-04

Title: Two- And Three-Way Dynamic Panel Threshold Regression Model for Change Point Detection
Description: Estimation of two-way and three-way dynamic panel threshold regression models using the first-differenced instrumental-variable generalized method of moments (FD-IV-GMM) estimator. The implementation builds on Seo and Shin (2016) <doi:10.1016/j.jeconom.2016.03.005> and Di Lascio and Perazzini (2026) <doi:10.1007/s10260-026-00842-3>. The models accommodate time-varying exogenous and endogenous regressors and allow the lagged dependent variable to serve as the threshold variable. The package includes a bootstrap-based test for threshold effects, a procedure for identifying change points in individual time series, functions for simulating two-way and three-way panel data with regime changes, and tools for evaluating estimator performance through bias and root mean squared error measures.
Author: Selene Perazzini [aut], F. Marta L. Di Lascio [aut, cre]
Maintainer: F. Marta L. Di Lascio <marta.dilascio@unibz.it>

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Package nanonext updated to version 1.10.4 with previous version 1.10.3 dated 2026-09-23

Title: Lightweight Toolkit for Messaging, Concurrency and the Web
Description: R binding for NNG (Nanomsg Next Gen), a successor to ZeroMQ. A toolkit for messaging, concurrency and the web. High-performance socket messaging over in-process, IPC, TCP, WebSocket and secure TLS transports implements 'Scalability Protocols', a standard for common communications patterns including publish/subscribe, request/reply and survey. A threaded concurrency framework with intuitive 'aio' objects that resolve automatically upon completion of asynchronous operations, and synchronisation primitives that allow R to wait on events signalled by concurrent threads. A unified HTTP server hosting REST endpoints, WebSocket connections and streaming on a single port, with a built-in HTTP client.
Author: Charlie Gao [aut, cre] , Posit Software, PBC [cph, fnd] , Hibiki AI Limited [cph], Staysail Systems, Inc. [cph] , Capitar IT Group BV [cph] , The Mbed TLS Contributors [cph] , Pierre L'Ecuyer [cph] , sakura authors [cph] , R Consortium [fnd]
Maintainer: Charlie Gao <charlie.gao@posit.co>

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Package MRStdCRT updated to version 0.1.3 with previous version 0.1.2 dated 2026-10-07

Title: Model-Robust Standardization in Cluster-Randomized Trials
Description: Implements model-robust standardization for cluster-randomized trials (CRTs). Provides functions that standardize user-specified regression models to estimate marginal treatment effects. The targets include the cluster-average and individual-average treatment effects, with utilities for variance estimation and example simulation datasets. Methods are described in Li, Tong, Fang, Cheng, Kahan, and Wang (2025) <doi:10.1002/sim.70270>. Inverse-cluster-size weighted outcome models are available for generalized estimating equations and linear or generalized linear mixed models. The outcome models can use common fitting weights for both estimands or inverse-cluster-size weights for the cluster-average effect and no weights for the individual-average effect. Inference retains the original standardization framework and paired cluster jackknife. Related cluster-size saturated models are described in the arXiv preprint by Lee, Harhay, and Li (2026) <doi:10.48550/arXiv.2608.28943>.
Author: Jiaqi Tong [aut], Changjun Li [aut, cre], Xi Fang [aut], Chao Cheng [aut], Kenneth M. Lee [aut], Bingkai Wang [aut], Fan Li [aut]
Maintainer: Changjun Li <changjun.li@yale.edu>

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Package moderndive updated to version 0.8.1 with previous version 0.8.0 dated 2026-08-04

Title: Tidyverse-Friendly Introductory Linear Regression
Description: Datasets and wrapper functions for tidyverse-friendly introductory linear regression, used in "Statistical Inference via Data Science: A ModernDive into R and the Tidyverse" available at <https://moderndive.com/>.
Author: Albert Y. Kim [aut, cre] , Chester Ismay [aut] , Andrew Bray [ctb] , Delaney Moran [ctb], Evgeni Chasnovski [ctb] , Will Hopper [ctb] , Benjamin S. Baumer [ctb] , Marium Tapal [ctb] , Wayne Ndlovu [ctb], Catherine Peppers [ctb], Annah Mutaya [ctb], A [...truncated...]
Maintainer: Albert Y. Kim <albert.ys.kim@gmail.com>

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Package MatTransMix readmission to version 0.1.19 with previous version 0.1.18 dated 2025-01-29

Title: Clustering with Matrix Gaussian and Matrix Transformation Mixture Models
Description: Provides matrix Gaussian mixture models, matrix transformation mixture models and their model-based clustering results. The parsimonious models of the mean matrices and variance covariance matrices are implemented with a total of 196 variations. For more information, please check: Xuwen Zhu, Shuchismita Sarkar, and Volodymyr Melnykov (2021), "MatTransMix: an R package for matrix model-based clustering and parsimonious mixture modeling", <doi:10.1007/s00357-021-09401-9>.
Author: Xuwen Zhu [aut, cre], Volodymyr Melnykov [aut], Shuchismita Sarkar [ctb], Michael Hutt [ctb, cph], Stephen Moshier [ctb, cph], Rouben Rostamian [ctb, cph], Carl Edward Rasmussen [ctb, cph], Dianne Cook [ctb, cph]
Maintainer: Xuwen Zhu <xzhu20@ua.edu>

This is a re-admission after prior archival of version 0.1.18 dated 2025-01-29

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Package LDAShiny updated to version 1.1.0 with previous version 1.0.0 dated 2026-06-08

Title: Shiny Application for Topic Modeling of Scientific Literature
Description: A 'shiny' application that guides users through an exploratory review of scientific literature using Latent Dirichlet Allocation (LDA) topic modeling. It imports bibliometric records exported from databases such as 'Scopus' and 'Web of Science', performs text preprocessing, helps select the number of topics, fits the final model, and visualizes the results and the evolution of topics over time. The methodology is described in De la Hoz-M et al. (2021) <doi:10.3390/math9141671>.
Author: Javier De La Hoz-M [aut, cre] , Maria Camila Samper Meza [aut] , Alexander Armando Bustamante Martinez [aut]
Maintainer: Javier De La Hoz-M <jdelahoz@unimagdalena.edu.co>

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Package landgraph updated to version 0.0.4 with previous version 0.0.3 dated 2026-09-25

Title: Graphs and Covariance for Landscape Genetics
Description: Shared, dependency-light primitives for landscape-genetic network methods: a lightweight deme/landscape graph (vertex coordinates and an undirected edge list) with constructors from coordinates; genetic covariance and distance from biallelic or multiallelic data (the normalized-dosage covariance of Yang et al. (2010) <doi:10.1038/ng.608>, and the multivariate covariance of Dyer and Nason (2004) <doi:10.1111/j.1365-294X.2004.02177.x> built by the Gower (1966) <doi:10.1093/biomet/53.3-4.325> double-centering); pairwise F_ST by the estimator of Bhatia et al. (2013) <doi:10.1101/gr.154831.113>; and antisymmetric per-edge directional covariate builders (the gradient of a scalar potential, and the projection of a vector flow field). Used by 'terradish' (symmetric resistance).
Author: Bill Peterman [aut, cre, cph], Nathaniel S. Pope [aut, cph]
Maintainer: Bill Peterman <peterman.73@osu.edu>

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Package insight updated to version 1.7.0 with previous version 1.6.1 dated 2026-10-28

Title: Easy Access to Model Information for Various Model Objects
Description: A tool to provide an easy, intuitive and consistent access to information contained in various R models, like model formulas, model terms, information about random effects, data that was used to fit the model or data from response variables. 'insight' mainly revolves around two types of functions: Functions that find (the names of) information, starting with 'find_', and functions that get the underlying data, starting with 'get_'. The package has a consistent syntax and works with many different model objects, where otherwise functions to access these information are missing.
Author: Daniel Luedecke [aut, cre] , Dominique Makowski [aut, ctb] , Indrajeet Patil [aut, ctb] , Philip Waggoner [aut, ctb] , Mattan S. Ben-Shachar [aut, ctb] , Brenton M. Wiernik [aut, ctb] , Vincent Arel-Bundock [aut, ctb] , Etienne Bacher [aut, ctb] , Ale [...truncated...]
Maintainer: Daniel Luedecke <officialeasystats@gmail.com>

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Package geotech readmission to version 1.0.1 with previous version 1.0 dated 2016-02-14

Title: Geotechnical Engineering
Description: A compilation of functions for performing calculations and creating plots that commonly arise in geotechnical engineering and soil mechanics. The types of calculations that are currently included are: (1) phase diagrams and index parameters, (2) grain-size distributions, (3) plasticity, (4) soil classification, (5) compaction, (6) groundwater, (7) subsurface stresses (geostatic and induced), (8) Mohr circle analyses, (9) consolidation settlement and rate, (10) shear strength, (11) bearing capacity, (12) lateral earth pressures, (13) slope stability, and (14) subsurface explorations. Geotechnical engineering students, educators, researchers, and practitioners will find this package useful.
Author: James Kaklamanos [aut], Kyle Elmy [aut], Irucka Embry [cre]
Maintainer: Irucka Embry <iembry@ecoccs.com>

This is a re-admission after prior archival of version 1.0 dated 2016-02-14

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Package gdalcubes readmission to version 0.7.6 with previous version 0.7.4 dated 2026-05-29

Title: Earth Observation Data Cubes from Satellite Image Collections
Description: Processing collections of Earth observation images as on-demand multispectral, multitemporal raster data cubes. Users define cubes by spatiotemporal extent, resolution, and spatial reference system and let 'gdalcubes' automatically apply cropping, reprojection, and resampling using the 'Geospatial Data Abstraction Library' ('GDAL'). Implemented functions on data cubes include reduction over space and time, applying arithmetic expressions on pixel band values, moving window aggregates over time, filtering by space, time, bands, and predicates on pixel values, exporting data cubes as 'netCDF' or 'GeoTIFF' files, plotting, and extraction from spatial and or spatiotemporal features. All computational parts are implemented in C++, linking to the 'GDAL', 'netCDF', 'CURL', and 'SQLite' libraries. See Appel and Pebesma (2019) <doi:10.3390/data4030092> for further details.
Author: Marius Appel [aut, cre] , Edzer Pebesma [ctb] , Roger Bivand [ctb], Rolf Simoes [ctb], Felipe Carlos [ctb], Felipe Souza [ctb], Jeroen Ooms [ctb] , Lewis Van Winkle [cph], Ole Christian Eidheim [cph], Howard Hinnant [cph], Adrian Colomitchi [cph], Fl [...truncated...]
Maintainer: Marius Appel <marius.appel@hs-bochum.de>

This is a re-admission after prior archival of version 0.7.4 dated 2026-05-29

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Package BayesianQDM updated to version 1.0.0 with previous version 0.1.0 dated 2026-04-21

Title: Bayesian Quantitative Decision-Making Framework for Binary, Continuous and Time-to-Event Endpoints
Description: Bayesian quantitative decision-making for proof-of-concept clinical trials with Go, NoGo and Gray decisions. A study is specified by its sample sizes, conjugate prior distributions, external data borrowed through power priors, a concurrent, external, hypothetical or fixed control group, and a decision criterion based on the posterior or posterior predictive probability of the treatment effect. The package computes the decision for observed data, the operating characteristics of a design under scenarios for the true parameters, the decision thresholds that control the probabilities of false Go and false NoGo decisions, and the observed data that lead to each decision. One or two binary endpoints (Beta-binomial and Dirichlet-multinomial models), one or two continuous endpoints (Normal-Inverse-chi-squared and Normal-Inverse-Wishart models) and one time-to-event endpoint evaluated by the milestone survival probability or the hazard ratio (exponential model with Gamma priors) are supported, [...truncated...]
Author: Gosuke Homma [aut, cre], Yusuke Yamaguchi [aut]
Maintainer: Gosuke Homma <my.name.is.gosuke@gmail.com>

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Package golfastr updated to version 0.3.0 with previous version 0.2.0 dated 2026-02-18

Title: Efficiently Access Pro Golf Data
Description: Designed for quickly grabbing PGA Tour data. Includes a large data update with shot-level PGA Tour 'ShotLink' data, tee times and course setup, strokes gained, win probability after every hole, a what's in the bag database (WITBDB) of player equipment, an ID crosswalk between 'ESPN' and the PGA Tour, and logo image URLs. Leaderboards and hole-by-hole scoring come from 'ESPN' <https://www.espn.com/golf/> for the PGA Tour, LIV Golf, LPGA, DP World Tour and Champions Tour. Completed seasons are served from hosted files for fast repeated access, and data can be saved as RDS, 'Apache Arrow' Parquet or a 'SQLite' database.
Author: Ray Carpenter [aut, cre, cph]
Maintainer: Ray Carpenter <raymondcarpenter1@gmail.com>

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Package FocusGroup updated to version 0.5.6 with previous version 0.5.2 dated 2026-09-12

Title: Focus Group Simulation Using LLM Agents
Description: Moderated focus group discussions simulated with large language models (LLMs). Participants carry personas built from respondent records or labeled survey files. A session runs under a specified turn-taking rule, and one turn can be experimentally manipulated to measure its effect on the next.
Author: Ali Sanaei [aut, cre]
Maintainer: Ali Sanaei <sanaei@uchicago.edu>

Diff between FocusGroup versions 0.5.2 dated 2026-09-12 and 0.5.6 dated 2026-10-30

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Package aniSNA updated to version 1.2.1 with previous version 1.1.1 dated 2024-03-25

Title: Statistical Network Analysis of Animal Social Networks
Description: Obtain network structures from animal GPS telemetry observations and statistically analyse them to assess their adequacy for social network analysis. Methods include pre-network data permutations, bootstrapping techniques to obtain confidence intervals for global and node-level network metrics, and correlation and regression analysis of the local network metrics.
Author: Prabhleen Kaur [aut], Michael Salter-Townshend [ctb, cre]
Maintainer: Michael Salter-Townshend <michael.salter-townshend@ucd.ie>

Diff between aniSNA versions 1.1.1 dated 2024-03-25 and 1.2.1 dated 2026-10-30

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Package accessibility updated to version 1.6.0 with previous version 1.5.0 dated 2026-05-12

Title: Transport Accessibility Measures
Description: A set of fast and convenient functions to help conduct accessibility analyses. Given a pre-computed travel cost matrix and a land use dataset (containing for example the location of jobs, healthcare and population), the package allows one to calculate accessibility levels, and accessibility poverty and inequality. The package covers the majority of the most commonly used accessibility measures (such as cumulative opportunities, gravity-based and floating catchment area methods), some cutting edge measures proposed in the literature (e.g. balancing cost and constrained accessibility) as well as the most frequently used inequality and poverty metrics (such as the Palma ratio, the concentration and Theil indices and the FGT family of measures).
Author: Rafael H. M. Pereira [aut, cre] , Daniel Herszenhut [aut] , Anastasia Soukhov [aut], Christopher Higgins [ctb], Joey Reid [ctb], Ipea - Institute for Applied Economic Research [cph, fnd]
Maintainer: Rafael H. M. Pereira <rafa.pereira.br@gmail.com>

Diff between accessibility versions 1.5.0 dated 2026-05-12 and 1.6.0 dated 2026-10-30

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More information about accessibility at CRAN
Permanent link

Package frailtyEM updated to version 1.0.2 with previous version 1.0.1 dated 2019-09-22

Title: Fitting Frailty Models with the EM Algorithm
Description: Contains functions for fitting shared frailty models with a semi-parametric baseline hazard with the Expectation-Maximization algorithm. Supported data formats include clustered failures with left truncation and recurrent events in gap-time or Andersen-Gill format. Several frailty distributions, such as the the gamma, positive stable and the Power Variance Family are supported.
Author: Theodor Adrian Balan [aut, cre], Hein Putter [aut]
Maintainer: Theodor Adrian Balan <hello@tbalan.com>

Diff between frailtyEM versions 1.0.1 dated 2019-09-22 and 1.0.2 dated 2026-10-30

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Permanent link

Package geozarr updated to version 0.3.0 with previous version 0.2.0 dated 2026-09-15

Title: GeoZarr Conventions for Geospatial Data in Zarr Stores
Description: Large-scale gridded data stores are increasingly using the Zarr format. GeoZarr is defined in terms of a number of community conventions built on top of the Zarr specification. These conventions specify how Zarr metadata is to be interpreted to attach semantic meaning to the data in the Zarr array providing the metadata. This package implements a number of community conventions on top of the 'zarr' package, enabling the R community to use geospatial data stored in Zarr.
Author: Patrick Van Laake [aut, cre]
Maintainer: Patrick Van Laake <patrick@vanlaake.net>

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More information about geozarr at CRAN
Permanent link

Package proxyC updated to version 0.6.0 with previous version 0.5.2 dated 2025-04-25

Title: Computes Proximity in Large Matrices
Description: Computes proximity between rows or columns of large matrices efficiently in C++. Functions are optimised for large matrices using the Armadillo and Intel TBB libraries. Among various built-in similarity/distance measures, computation of correlation, cosine similarity, Dice coefficient and Euclidean distance is particularly fast.
Author: Kohei Watanabe [cre, aut, cph] , Robrecht Cannoodt [aut]
Maintainer: Kohei Watanabe <watanabe.kohei@gmail.com>

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Permanent link

Package glyparse updated to version 1.0.0 with previous version 0.8.1 dated 2026-08-28

Title: Parsing Glycan Structure Text Representations
Description: Provides functions to parse glycan structure text representations into 'glyrepr' glycan structures. Currently, it supports StrucGP-style, pGlyco-style, IUPAC-condensed, IUPAC-extended, IUPAC-short, IUPAC-compact, WURCS, LINUCS, Linear Code, GlycoCT, KCF, and GlycoWorkbench formats. It also provides an automatic parser to detect the format and parse the structure string.
Author: Bin Fu [aut, cre, cph]
Maintainer: Bin Fu <23110220018@m.fudan.edu.cn>

Diff between glyparse versions 0.8.1 dated 2026-08-28 and 1.0.0 dated 2026-10-30

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Permanent link

Thu, 29 Oct 2026

Package nmfkc updated to version 1.0.2 with previous version 0.9.8 dated 2026-09-22

Title: Non-Negative Matrix Factorization with Kernel Covariates
Description: Performs Non-negative Matrix Factorization (NMF) with Kernel Covariates. Given an observation matrix and kernel covariates, it optimizes both a basis matrix and a parameter matrix. Notably, if the kernel matrix is an identity matrix, the method simplifies to standard NMF. Also provides NMF with Random Effects (NMF-RE) via nmfre(), which estimates a mixed-effects model combining covariate-driven scores with unit-specific random effects together with wild bootstrap inference, and NMF with feed-forward and feedback structure (NMF-FFB) via nmf.ffb(), which fits a two-block input-output model for blind source separation and path analysis. References: Satoh (2025) <doi:10.48550/arXiv.2403.05359>; Satoh (2026) <doi:10.1007/s42081-026-00349-x>; Satoh (2025) <doi:10.48550/arXiv.2512.18250>; Satoh (2026) <doi:10.48550/arXiv.2603.01468>; Satoh and Tokuda (2026) <doi:10.48550/arXiv.2607.27474>; Satoh (2026) <doi:10.1007/s42081-025-00314-0>.
Author: Kenichi Satoh [aut, cre]
Maintainer: Kenichi Satoh <kenichi-satoh@biwako.shiga-u.ac.jp>

Diff between nmfkc versions 0.9.8 dated 2026-09-22 and 1.0.2 dated 2026-10-29

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Package inferMM updated to version 0.1.1 with previous version 0.0.3 dated 2026-06-04

Title: Variance-Aware Michaelis-Menten Estimation and Inference
Description: Variance-aware Michaelis-Menten estimation, model screening, grouped enzyme-kinetic analyses, and clustered repeated-measurement workflows. The package implements profile-score estimators under built-in or user-defined fixed working variance functions for single curves, optional higher-moment estimating equations for independent observations with asymmetric errors, and a lightweight cluster-aware working-covariance extension with optional conditional projected scores for an unspecified random-effect density, Wald and bootstrap confidence intervals, prediction utilities, and simulation helpers. Related methodology is discussed by Kim and Ma (2012) <doi:10.1007/s10463-011-0332-y>, Kim (2023) <doi:10.1002/sta4.606>, and Ma and Genton (2010) <doi:10.1111/j.1467-9868.2010.00741.x>.
Author: Mijeong Kim [aut, cre], Minkyoung Cha [aut], Ah Young Jeong [aut]
Maintainer: Mijeong Kim <m.kim@ewha.ac.kr>

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Package contoso updated to version 2.4.0 with previous version 2.1.0 dated 2026-02-28

Title: Dataset of the 'Contoso' Company
Description: A collection of synthetic datasets simulating sales transactions from a fictional company. The dataset includes various related tables that contain essential business and operational data, useful for analyzing sales performance and other business insights. Key tables included in the package are: - "sales": Contains data on individual sales transactions, including order details, pricing, quantities, and customer information. - "customer": Stores customer-specific details such as demographics, geographic location, occupation, and birthday. - "store": Provides information about stores, including location, size, status, and operational dates. - "orders": Contains details about customer orders, including order and delivery dates, store, and customer data. - "product": Contains data on products, including attributes such as product name, category, price, cost, and weight. - "calendar": A time-based table that includes date-related attributes like year, month, quarter, day, and working day in [...truncated...]
Author: Alejandro Hagan [aut, cre]
Maintainer: Alejandro Hagan <alejandro.hagan@outlook.com>

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Package blisa updated to version 1.0.3 with previous version 1.0.0 dated 2026-07-10

Title: Infer Cell-Cell Communication from Spatial Transcriptomics
Description: Identifies cell-cell communication hotspots in spatial transcriptomics data using bivariate Local Moran's I statistics on hexagonally binned cells. Provides functions for spatial weighting, ligand-receptor pair filtering, hotspot detection, and visualisation of sender-receiver cell-type interactions.
Author: Yunshun Chen [aut, cre], Lei Qin [aut], Lizhong Chen [aut]
Maintainer: Yunshun Chen <yuchen@wehi.edu.au>

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Package geoecu updated to version 0.4.1 with previous version 0.3.0 dated 2026-10-22

Title: Maps of the Provinces, Cantons and Parishes of Ecuador (Mapas de Provincias, Cantones y Parroquias del Ecuador)
Description: Provides the boundaries of the provinces, cantons and parishes of Ecuador as 'sf' objects, identified by the codes of the national political-administrative division (DPA, "División Político-Administrativa"), ready to be mapped and joined with health, epidemiological surveillance or other data. The three levels nest exactly and are offered in two resolutions: a light one for maps and dashboards and a detailed one for spatial analysis. The layers are derived from the open data of the Territorial Organization of the State published by the National Committee of Internal Boundaries (CONALI, Ministry of Government of Ecuador) under a CC BY licence <https://www.datosabiertos.gob.ec/>, and are downloaded on first use as 'GeoPackage' files, verified and cached locally. Includes a catalogue of DPA codes, a table to update codes from earlier versions, helpers to clean codes and place names, and tools to relocate the Galapagos Islands in national maps. Documentation is in Spanish.
Author: Ronald Fabricio Salas Guerrero [aut, cre, cph]
Maintainer: Ronald Fabricio Salas Guerrero <fabriciosalasguerrero@gmail.com>

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Package rmsb updated to version 1.1-3 with previous version 1.1-2 dated 2025-04-13

Title: Bayesian Regression Modeling Strategies
Description: A Bayesian companion to the 'rms' package, 'rmsb' provides Bayesian model fitting, post-fit estimation, and graphics. It implements Bayesian regression models whose fit objects can be processed by 'rms' functions such as 'contrast()', 'summary()', 'Predict()', 'nomogram()', and 'latex()'. The fitting function currently implemented in the package is 'blrm()' for Bayesian logistic binary and ordinal regression with optional clustering, censoring, and departures from the proportional odds assumption using the partial proportional odds model of Peterson and Harrell (1990) <https://www.jstor.org/stable/2347760>.
Author: Frank Harrell [aut, cre] , Ben Goodrich [ctb] , Ben Bolker [ctb] , Doug Bates [ctb]
Maintainer: Frank Harrell <fh@fharrell.com>

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Package todor updated to version 0.1.3 with previous version 0.1.2 dated 2021-05-24

Title: Find All TODO Comments and More
Description: This is a simple addin to 'RStudio' that finds all 'TODO', 'FIX ME', 'CHANGED' etc. comments in your project and shows them as a markers list.
Author: Dominik Krzeminski [aut, cre]
Maintainer: Dominik Krzeminski <raymon92@gmail.com>

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Package bufferscape updated to version 1.3.2 with previous version 1.0.3 dated 2026-08-05

Title: Distance-Weighted Landscape Composition in Buffers Around Point Locations
Description: Characterises the environment surrounding point locations by computing land-cover composition within circular buffers directly from vector polygons, without conversion to a raster grid. For each site and each class it returns the exact surface area inside the buffer and a distance-decay weighted "effective" area in which the kernel is integrated over polygon geometry rather than evaluated at the polygon centroid, avoiding the large bias the centroid approximation introduces for elongated features passing close to the site. Polygons may overlap, so class areas are not constrained to sum to the buffer area. Intended for buffer-based exposure assessment and fine-scale spatial epidemiology, where the relevant scale is tens of metres and global land-cover products are too coarse: land-use regression around air-quality monitors, green space around residential addresses, vector-surveillance traps, and comparable designs. The classification dictionary is user-supplied, and point features and d [...truncated...]
Author: Michele Planta [aut, cre]
Maintainer: Michele Planta <micheleplanta@outlook.it>

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Package alphahull updated to version 3.0.1 with previous version 2.5 dated 2022-06-16

Title: Generalization of the Convex Hull of a Sample of Points in the Plane
Description: Computation of the alpha-shape and alpha-convex hull of a given sample of points in the plane. The concepts of alpha-shape and alpha-convex hull generalize the definition of the convex hull of a finite set of points. The programming is based on the duality between the Voronoi diagram and Delaunay triangulation. The package also includes a function that returns the Delaunay mesh of a given sample of points and its dual Voronoi diagram in one single object.
Author: Beatriz Pateiro-Lopez [aut, cre], Alberto Rodriguez-Casal [aut]
Maintainer: Beatriz Pateiro-Lopez <beatriz.pateiro@usc.es>

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Package zmctp updated to version 0.1.4 with previous version 0.1.3 dated 2026-09-20

Title: Zero-Modified Complex 'Tri-Parametric' Pearson Distribution for Overdispersed Count Data
Description: Provides probability, distribution, quantile and random-generation functions for the complex three-parameter Pearson distribution and its zero-inflated extension. Maximum likelihood fitting uses analytic profiling of the mixing probability, multiple starting points and numerical boundary diagnostics. The parent family is described in the 2003 study <doi:10.1007/s00362-002-0134-7>.
Author: Rasheedat Oladoja [aut, cre] , Kabir Opeyemi Olorede [aut]
Maintainer: Rasheedat Oladoja <roladoja@ttu.edu>

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Package rerddapUtils updated to version 1.0.3 with previous version 1.0.2 dated 2026-06-08

Title: Miscellaneous Utilities for 'rerddap'
Description: The 'rerddapUtils' package is an 'R' package that is a set of four main functions designed to work with and extend the 'rerddap' package. These functions includes one for restricting by season, one for splitting large requests, and two for working with projected datasets. There are also two utility functions that provide estimates of the size of a proposed 'rerddap::griddap()' request.
Author: Roy Mendelssohn [aut, cre]
Maintainer: Roy Mendelssohn <roy.mendelssohn@noaa.gov>

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Package pubformat updated to version 0.2.0 with previous version 0.1.0 dated 2026-10-02

Title: Publication-Ready Formatting for Statistical Results
Description: Provides tools for converting already-computed statistical results into consistent, publication-ready character output. Supports p-values, confidence intervals, correlation coefficients, percentages, test statistics, and commonly reported effect sizes, with optional confidence intervals and multiple output styles for selected statistical symbols. The package emphasizes separation of statistical calculation, interpretation, and publication formatting so that reporting choices do not alter the underlying numeric results or inferential decisions.
Author: RJ Ballotti [aut, cre]
Maintainer: RJ Ballotti <rballotti@coastal.edu>

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Package pikchr updated to version 1.1.2 with previous version 1.1.1 dated 2026-06-14

Title: R Wrapper for 'pikchr' (PIC) Diagram Language
Description: An 'R' interface to 'pikchr' (<https://pikchr.org>, pronounced "picture"), a 'PIC'-like markup language for creating diagrams within technical documentation. Originally developed by Brian Kernighan, 'PIC' has been adapted into 'pikchr' by D. Richard Hipp, the creator of 'SQLite'. 'pikchr' is designed to be embedded in fenced code blocks of Markdown or other documentation markup languages, making it ideal for generating diagrams in text-based formats. This package allows R users to seamlessly integrate the descriptive syntax of 'pikchr' for diagram creation directly within the 'R' environment.
Author: Andre Leite [aut, cre] , Hugo Vasconcelos [aut] , Diogo Bezerra [aut] , Marcos Wasiliew [aut] , Carlos Amorim [aut] , Julia Nascimento Barreto [aut] , Richard Hipp [ctb], Brian Kernighan [ctb]
Maintainer: Andre Leite <leite@castlab.org>

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Package metalcor updated to version 1.0.5 with previous version 1.0.2 dated 2026-09-14

Title: Meta-Analysis of Correlated Genetic Association Studies
Description: The main function performs meta-analysis of genetic association study summary statistics that may be correlated due to cryptic relatedness or other confounders, generalizing inverse variance weighted methods. The function that estimates the correlation structure is also provided standalone. Another key innovation, the estimation of the correlation parameter from the median product of correlated standard normal variables, is provided, as well as a complete set of functions for their underlying distribution: density, cumulative, quantile, and random deviates. Described in Tu and Ochoa (2026) <doi:10.1016/j.xhgg.2026.100657>.
Author: Alejandro Ochoa [aut, cre] , Tiffany Tu [aut]
Maintainer: Alejandro Ochoa <alejandro.ochoa@duke.edu>

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Package ggrefine updated to version 1.0.0 with previous version 0.5.0 dated 2026-07-07

Title: Publication-Quality 'ggplot2' Themes
Description: Complete themes and functions for publication-quality 'ggplot2' visualisation.
Author: David Hodge [aut, cre, cph]
Maintainer: David Hodge <davidhodge931@gmail.com>

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Package gcemod updated to version 0.3.1 with previous version 0.3.0 dated 2026-09-24

Title: Generalized Competing Event Models with Lunn-McNeil Testing
Description: Fits generalized competing event (GCE) models and estimates covariate effects on omega-plus, the ratio of the hazard for an event of interest to the hazard for a competing event, on both the cause-specific (Cox) and subdistribution (Fine-Gray) hazard scales. Confidence intervals and p-values are obtained from the Lunn-McNeil (1995) stacked (augmented) data approach. The package builds GCE risk scores from the model linear predictor, identifies risk-score cutpoints that maximize the separation in omega-plus between groups, and produces cumulative incidence ("alligator") plots by risk group and calibration plots of predicted versus observed omega-plus. It also compares covariate effects across the primary, competing, and total (composite) events, and estimates covariate effects on the ratio of cumulative incidence functions (a cumulative-incidence-scale GCE model). Methods follow Carmona et al. (2014) <doi:10.1016/j.ijrobp.2014.03.047>, Mell et al. (2024) <doi:10.1016/j.eururo.2 [...truncated...]
Author: Loren Mell [aut, cre], Morten Overgaard [ctb] )
Maintainer: Loren Mell <lmell@ucsd.edu>

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Package MoonShineR updated to version 1.2.0 with previous version 1.1.0 dated 2026-06-17

Title: Predict Moonlight, Sunlight, and/or Twilight Ground Illuminance
Description: Predicts ground-level illuminance from moonlight, sunlight, and twilight for specified locations and time periods. The package is intended for field studies in ecology and behavior where natural light levels are used as predictor variables. See Poon et al. (2024) <doi:10.1111/2041-210X.14299>. Calculations use astronomical quantities from 'suncalc' and published illuminance models, including Austin et al. (1976) <doi:10.2307/2402251> and Seidelmann (1992) <ISBN:0935702687>.
Author: Lok Poon [aut, cre] , Ian T. Jenks [aut], William G. R. Crampton [aut]
Maintainer: Lok Poon <poonchiulok@gmail.com>

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Package glossa updated to version 1.2.5 with previous version 1.2.4 dated 2025-09-19

Title: User-Friendly 'shiny' App for Bayesian Species Distribution Models
Description: A user-friendly 'shiny' application for Bayesian machine learning analysis of marine species distributions. GLOSSA (Global Ocean Species Spatio-temporal Analysis) uses Bayesian Additive Regression Trees (BART; Chipman, George, and McCulloch (2010) <doi:10.1214/09-AOAS285>) to model species distributions with intuitive workflows for data upload, processing, model fitting, and result visualization. It supports presence-absence and presence-only data (with pseudo-absence generation), spatial thinning, cross-validation, and scenario-based projections. GLOSSA is designed to facilitate ecological research by providing easy-to-use tools for analyzing and visualizing marine species distributions across different spatial and temporal scales. Optionally, pseudo-absences can be generated within the environmental space using the external package 'flexsdm' (not on CRAN), which can be downloaded from <https://github.com/sjevelazco/flexsdm>; this functionality is used conditionally when a [...truncated...]
Author: Jorge Mestre-Tomas [aut, cre] , Alba Fuster-Alonso [aut]
Maintainer: Jorge Mestre-Tomas <jorge.mestre.tomas@csic.es>

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Package tesouror updated to version 0.3.2 with previous version 0.3.1 dated 2026-09-11

Title: Access Brazilian National Treasury Open Data APIs
Description: Provides a unified interface to access open data from the Brazilian National Treasury ('Tesouro Nacional') and related government APIs. Covers six data sources: 'SICONFI' <https://apidatalake.tesouro.gov.br/docs/siconfi/> for fiscal reports ('RREO', 'RGF', 'DCA', 'MSC') and entity information; 'CUSTOS' <https://apidatalake.tesouro.gov.br/docs/custos/> for federal government cost data; 'SADIPEM' <https://apidatalake.tesouro.gov.br/docs/sadipem/> for public debt and credit operations; 'Transferencias Constitucionais' <https://apiapex.tesouro.gov.br/aria/v1/transferencias_constitucionais/docs> for constitutional transfers to states and municipalities; 'SIORG' <https://estruturaorganizacional.dados.gov.br> for federal organizational structure; and 'SIOPE' ('FNDE'/'MEC') for education spending data. Features automatic pagination, in-memory caching, retry logic, and tidy output.
Author: Andre Leite [aut, cre] , Marcos Wasiliew [aut] , Hugo Vasconcelos [aut] , Carlos Amorim [aut] , Diogo Bezerra [aut] , Tiago Pereira [aut], Fernando Barbalho [aut], Julia Nascimento Barreto [aut]
Maintainer: Andre Leite <leite@castlab.org>

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Package rice updated to version 2.4.0 with previous version 2.3.0 dated 2026-08-19

Title: Radiocarbon Equations
Description: Provides functions for the calibration of radiocarbon dates, as well as options to calculate different radiocarbon-related timescales (cal BP, cal BC/AD, C14 age, F14C, pMC, D14C) and estimating the effects of contamination or local reservoir offsets (Reimer and Reimer 2001 <doi:10.1017/S0033822200038339>). Supporting publication: Blaauw, M., Reimer, P.J., 2026. An open-source toolkit for radiocarbon dating and calibration. Radiocarbon <doi:10.1017/RDC.2026.10221>. The methods follow long-established recommendations such as Stuiver and Polach (1977) <doi:10.1017/S0033822200003672> and Reimer et al. (2004) <doi:10.1017/S0033822200033154>. This package uses the calibration curves from the data package 'rintcal'.
Author: Maarten Blaauw [aut, cre] , Paula Reimer [ctb] , Vegard Martinsen [ctb]
Maintainer: Maarten Blaauw <maarten.blaauw@qub.ac.uk>

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Package Qest updated to version 2.0.0 with previous version 1.0.2 dated 2025-07-25

Title: Quantile-Based Estimators
Description: Quantile-based estimators (Q-estimators) fit any parametric distribution through its quantile function, by minimizing the integrated loss of quantile regression. They are usually more robust than maximum likelihood estimators, and allow for censored and truncated data. The package implements user-defined quantile functions, built-in families (normal, gamma, continuous Poisson, uniform), linear models and proportional hazards models. The method is described in Sottile and Frumento (2022) <doi:10.1016/j.csda.2022.107471>.
Author: Gianluca Sottile [aut, cre] , Paolo Frumento [aut]
Maintainer: Gianluca Sottile <gianluca.sottile@unipa.it>

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Package PheVis updated to version 1.0.5 with previous version 1.0.4 dated 2023-10-20

Title: Automatic Phenotyping of Electronic Health Record at Visit Resolution
Description: Using Electronic Health Record (EHR) is difficult because most of the time the true characteristic of the patient is not available. Instead we can retrieve the International Classification of Disease code related to the disease of interest or we can count the occurrence of the Unified Medical Language System. None of them is the true phenotype which needs chart review to identify. However chart review is time consuming and costly. 'PheVis' is an algorithm which is phenotyping (i.e identify a characteristic) at the visit level in an unsupervised fashion. It can be used for chronic or acute diseases. An example of how to use 'PheVis' is available in the vignette. Basically there are two functions that are to be used: `train_phevis()` which trains the algorithm and `test_phevis()` which get the predicted probabilities. The detailed method is described in Ferté et al. (2021) <doi:10.1016/j.jbi.2021.103746>.
Author: Thomas Ferte [aut, cre], Boris P. Hejblum [aut]
Maintainer: Thomas Ferte <thomas.ferte@u-bordeaux.fr>

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Package MLSP updated to version 0.2.0 with previous version 0.1.0 dated 2025-10-08

Title: Machine Learning Models for Soil Properties from Spectroscopy
Description: Soil spectroscopy studies use many different combinations of spectral preprocessing and calibration methods, which makes results difficult to compare or generalize across studies. For visible and near-infrared (VNIR) spectra (350-2500 nm), runs every combination of preprocessing and calibration methods on identical repeated calibration and validation splits. The 26 preprocessing methods are raw reflectance, standard normal variate, pseudo-absorbance, and 23 Savitzky-Golay smoothers, first derivatives, and second derivatives with linear, quadratic, or cubic polynomials and 3- to 11-point windows, excluding settings that give mathematically identical filters. The calibration methods are principal component regression (PCR), partial least squares regression (PLSR), least absolute shrinkage and selection operator (LASSO), 'Cubist', and random forest. Model complexity is tuned by cross-validation within each calibration set, and combinations are ranked by the coefficient of determination (R [...truncated...]
Author: Pengyuan Chen [aut], Christopher Clingensmith [aut], Chenglong Ye [aut], Sabine Grunwald [aut], Katsutoshi Mizuta [aut, cre]
Maintainer: Katsutoshi Mizuta <toshi.m@uky.edu>

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Package pxmake updated to version 0.22.0 with previous version 0.21.0 dated 2026-07-15

Title: Make PX-Files in R
Description: Create PX-files from scratch or read and modify existing ones. Includes a function for every PX keyword, making metadata manipulation simple and human-readable.
Author: Johan Ejstrud [cre, aut], Lars Pedersen [aut], Statistics Greenland [cph]
Maintainer: Johan Ejstrud <johan@ejstrud.com>

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Package BFpack updated to version 1.6.3 with previous version 1.6.2 dated 2026-10-28

Title: Flexible Bayes Factor Testing of Scientific Expectations
Description: Implementation of default Bayes factors for testing statistical hypotheses under various statistical models. The package is intended for applied quantitative researchers in the social and behavioral sciences, medical research, and related fields. The Bayes factor tests can be executed for statistical models such as univariate and multivariate normal linear models, correlation analysis, generalized linear models, special cases of linear mixed models, survival models, relational event models. Parameters that can be tested are location parameters (e.g., group means, regression coefficients), variances (e.g., group variances), and measures of association (e.g,. polychoric/polyserial/biserial/tetrachoric/product moments correlations), among others. Relevant references on the methodology The statistical underpinnings are described in O'Hagan (1995) <DOI:10.1111/j.2517-6161.1995.tb02017.x>, Mulder and Xin (2022) <DOI:10.1080/00273171.2021.1904809>, Mulder and Gelissen (2019) <D [...truncated...]
Author: Joris Mulder [aut, cre], Caspar van Lissa [aut, ctb], Donald R. Williams [aut, ctb], Xin Gu [aut, ctb], Anton Olsson-Collentine [aut, ctb], Florian Boeing-Messing [aut, ctb], Jean-Paul Fox [aut, ctb], Janosch Menke [ctb], Robbie van Aert [ctb], Barry [...truncated...]
Maintainer: Joris Mulder <j.mulder3@tilburguniversity.edu>

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Package REDCapCAST updated to version 26.10.1 with previous version 26.1.1 dated 2026-01-29

Title: REDCap Metadata Casting and Castellated Data Handling
Description: Casting metadata for REDCap database creation and handling of castellated data using repeated instruments and longitudinal projects in 'REDCap'. Keeps a focused data export approach, by allowing to only export required data from the database. Also for casting new REDCap databases based on datasets from other sources. Originally forked from the R part of 'REDCapRITS' by Paul Egeler. See <https://github.com/pegeler/REDCapRITS>. 'REDCap' (Research Electronic Data Capture) is a secure, web-based software platform designed to support data capture for research studies, providing 1) an intuitive interface for validated data capture; 2) audit trails for tracking data manipulation and export procedures; 3) automated export procedures for seamless data downloads to common statistical packages; and 4) procedures for data integration and interoperability with external sources (Harris et al (2009) <doi:10.1016/j.jbi.2008.08.010>; Harris et al (2019) <doi:10.1016/j.jbi.2019.103208> [...truncated...]
Author: Andreas Gammelgaard Damsbo [aut, cre] , Paul Egeler [aut]
Maintainer: Andreas Gammelgaard Damsbo <andreas@gdamsbo.dk>

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Package LOCOM2 updated to version 1.1 with previous version 1.0 dated 2026-05-04

Title: A Logistic Regression Model for Testing Microbial Differential Abundance
Description: Testing differential abundance at individual taxa and in a whole microbial community. The tests are based on the log-ratio of relative abundances. The tests accommodate continuous, discrete (binary, categorical), and multivariate traits, and allow adjustment of confounders. For more details see He (2026) <doi:10.64898/2026.04.07.716976>. This package also includes the 'com2seq' function that combines two sequencing datasets (e.g., from 16S marker-gene and shotgun sequencing) for integrative analysis of differential abundance. For more details see <doi:10.1080/01621459.2025.2516205>.
Author: Yi-Juan Hu [aut, cre]
Maintainer: Yi-Juan Hu <yijuanhu@bicmr.pku.edu.cn>

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Package emhawkes updated to version 1.0.2 with previous version 1.0.1 dated 2026-10-18

Title: Exponential Multivariate Hawkes Model
Description: Simulate and fit multivariate Hawkes models with exponential kernels, introduced by Hawkes (1971) <doi:10.2307/2334319>. Includes marked, state-dependent, and multi-kernel specifications. Parameter estimation uses maximum likelihood, following Ozaki (1979) <doi:10.1007/BF02480272>, through the optional 'maxLik' package or the optimization functions supplied with R.
Author: Kyungsub Lee [aut, cre]
Maintainer: Kyungsub Lee <kyungsub@gmail.com>

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Package cusna updated to version 0.1.1 with previous version 0.1.0 dated 2026-07-15

Title: Native Simulation and Estimation of Network Models
Description: A self-contained native engine (a C interface over C++ host logic) for stochastic actor-oriented models (the model family of 'RSiena'), exponential random graph models (cross-sectional, temporal, and separable temporal), and models for binary actor attributes, callable from R without a Python runtime. The CRAN build is CPU-only (C++17, multi-threaded with 'OpenMP'); a 'CUDA' backend implements the same interface and is built separately from source. The data preparation, host statistics ('RSiena' Appendix B conventions), and moment targets are validated bit-for-bit against the reference implementation and reproduce 'RSiena' targets on public datasets to machine precision; the estimators match 'RSiena', 'ergm', 'btergm', and 'tergm' on public benchmark models. The method-of-moments estimator returns standard fit objects with the simulated networks on request, and the simulator also plugs into the unmodified 'RSiena' estimator.
Author: Artem Maltsev [aut, cre]
Maintainer: Artem Maltsev <MaltsevSNA@proton.me>

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Package movecost updated to version 3.1.0 with previous version 3.0.0 dated 2026-06-15

Title: Calculation of Slope-Dependant Accumulated Cost Surface, Least-Cost Paths, Least-Cost Corridors, Least-Cost Networks Related to Human Movement Across the Landscape
Description: Provides the facility to calculate non-isotropic accumulated cost surfaces, least-cost paths, least-cost corridors, least-cost networks, ranked alternative paths, cost allocation and cost boundaries, using a number of human-movement-related cost functions that can be selected by the user. The terrain factor can be set as a single value or vary across the landscape via a raster of terrain factors or terrain classes. The package is built around a compute-once design: a single cost surface object is created first and then reused by every analysis function, avoiding redundant computation. Visualisation is fully decoupled from computation and is provided through 'ggplot2' methods that can be invoked, customised, and re-invoked at any time without re-running any analysis. It just requires a Digital Terrain Model, a start location and (optionally) destination locations. See Alberti (2019) <doi:10.1016/j.softx.2019.100331>.
Author: Gianmarco Alberti [aut, cre]
Maintainer: Gianmarco Alberti <gianmarcoalberti@gmail.com>

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Package mighty.metadata updated to version 0.2.0 with previous version 0.1.0 dated 2026-05-15

Title: Manage 'CDISC' 'ADaM' Dataset Specifications in 'YAML' Format
Description: Load, validate, and manipulate Clinical Data Interchange Standards Consortium ('CDISC') Analysis Data Model ('ADaM') dataset metadata stored as 'YAML' files. Metadata files are validated against a JSON schema. Provides functions to inspect and modify columns, parameters, and row-level operations within and across 'ADaM' domains. Designed for use with the 'mighty' framework.
Author: Aksel Thomsen [aut, cre], Ari Siggaard Knoph [aut], Matthew Phelps [aut], Giulia Pais [aut], Katarzyna Graczyk [aut], Michael Hedegaard Thomsen [aut], Novo Nordisk A/S [cph]
Maintainer: Aksel Thomsen <oath@novonordisk.com>

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Package irace updated to version 4.5.1 with previous version 4.5 dated 2026-09-15

Title: Iterated Racing for Automatic Algorithm Configuration
Description: Iterated race is an extension of the Iterated F-race method for the automatic configuration of optimization algorithms, that is, (offline) tuning their parameters by finding the most appropriate settings given a set of instances of an optimization problem. M. López-Ibáñez, J. Dubois-Lacoste, L. Pérez Cáceres, T. Stützle, and M. Birattari (2016) <doi:10.1016/j.orp.2016.09.002>.
Author: Manuel Lopez-Ibanez [aut, cre] , Jeremie Dubois-Lacoste [aut], Leslie Perez Caceres [aut], Thomas Stuetzle [aut], Mauro Birattari [aut], Eric Yuan [ctb], Prasanna Balaprakash [ctb], Nguyen Dang [ctb]
Maintainer: Manuel Lopez-Ibanez <manuel.lopez-ibanez@manchester.ac.uk>

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Package creditratingsystem updated to version 0.1.1 with previous version 0.1.0 dated 2026-10-28

Title: Offline Credit Risk Modelling, Calibration and Validation
Description: Native credit risk calculations, statistical estimation, calibration, validation and cash flow simulation using local structured data. Methods cover consumer and business lending with explicit modelling assumptions, diagnostics and reproducible reference data.
Author: RiskDataScience GmbH [aut, cph], Dimitrios Geromichalos [cre]
Maintainer: Dimitrios Geromichalos <riskdatascience@web.de>

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Package covsim updated to version 1.2.0 with previous version 1.1.0 dated 2024-05-31

Title: VITA, IG, PLSIM and VM Simulation for Given Covariance and Marginals
Description: Random sampling from distributions with user-specified population covariance matrix. Marginal information may be fully specified, for which the package implements the VITA (VIne-To-Anything) algorithm Grønneberg and Foldnes (2017) <doi:10.1007/s11336-017-9569-6>. See also Grønneberg, Foldnes and Marcoulides (2022) <doi:10.18637/jss.v102.i03>. Alternatively, marginal skewness and kurtosis may be specified, for which the package implements the IG (independent generator), PLSIM (piecewise linear) and VM (Vale-Maurelli) algorithms, see Foldnes and Olsson (2016) <doi:10.1080/00273171.2015.1133274>, Foldnes and Grønneberg (2021) <doi:10.1080/10705511.2021.1949323> and Vale and Maurelli (1983) <doi:10.1007/BF02293687>, respectively.
Author: Njaal Foldnes [aut, cre], Steffen Groenneberg [aut]
Maintainer: Njaal Foldnes <njal.foldnes@gmail.com>

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Package rms updated to version 8.2-0 with previous version 8.1-1 dated 2026-02-18

Title: Regression Modeling Strategies
Description: Regression modeling, testing, estimation, validation, graphics, prediction, and typesetting by storing enhanced model design attributes in the fit. 'rms' is a collection of functions that assist with and streamline modeling. It also contains functions for binary and ordinal logistic regression models, ordinal models for continuous Y with a variety of distribution families and types of censoring with optional random effects, and the Buckley-James multiple regression model for right-censored responses, and implements penalized maximum likelihood estimation for logistic and ordinary linear models. 'rms' works with almost any regression model, but it was especially written to work with binary or ordinal regression models, Cox regression, accelerated failure time models, ordinary linear models, the Buckley-James model, generalized least squares for serially or spatially correlated observations, generalized linear models, and quantile regression.
Author: Frank E Harrell Jr [aut, cre]
Maintainer: Frank E Harrell Jr <fh@fharrell.com>

Diff between rms versions 8.1-1 dated 2026-02-18 and 8.2-0 dated 2026-10-29

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Permanent link

Package HistDAWass updated to version 1.0.10 with previous version 1.0.9 dated 2026-10-18

Title: Histogram-Valued Data Analysis
Description: In the framework of Symbolic Data Analysis, a relatively new approach to the statistical analysis of multi-valued data, we consider histogram-valued data, i.e., data described by univariate histograms. The methods and the basic statistics for histogram-valued data are mainly based on the L2 Wasserstein metric between distributions, i.e., the Euclidean metric between quantile functions. The package contains unsupervised classification techniques, least square regression and tools for histogram-valued data and for histogram time series. An introducing paper is Irpino A. Verde R. (2015) <doi: 10.1007/s11634-014-0176-4>.
Author: Antonio Irpino [aut, cre]
Maintainer: Antonio Irpino <antonio.irpino@unicampania.it>

Diff between HistDAWass versions 1.0.9 dated 2026-10-18 and 1.0.10 dated 2026-10-29

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Permanent link

Package deepSTRAPP updated to version 1.1.1 with previous version 1.1.0 dated 2026-09-27

Title: Test for Differences in Diversification Rates over Time
Description: Employ time-calibrated phylogenies and trait/range data to test for differences in diversification rates over evolutionary time. Extend the STRAPP test from BAMMtools::traitDependentBAMM() to any time step along phylogenies. See inst/COPYRIGHTS for details on third-party code.
Author: Mael Dore [aut, cre, cph] , Dan Rabosky [ctb], Mike Grundler [ctb], Huateng Huang [ctb], Pascal Title [ctb], Liam Revell [ctb], Nicholas J. Matzke [ctb]
Maintainer: Mael Dore <mael.dore@gmail.com>

Diff between deepSTRAPP versions 1.1.0 dated 2026-09-27 and 1.1.1 dated 2026-10-29

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More information about deepSTRAPP at CRAN
Permanent link

Package zstd updated to version 0.1.1 with previous version 0.1.0 dated 2026-10-20

Title: Zstandard Compression
Description: Compress and decompress data with the 'Zstandard' algorithm <https://meta.github.io/zstd/>, a fast lossless compression format. Works on raw vectors in memory and on files, and can create and extract 'zstd' compressed 'tar' archives. Supports compression levels, multithreaded compression, long distance matching, content checksums, and training dictionaries for better compression of small, similar inputs.
Author: Gabor Csardi [aut, cre], Posit Software, PBC [cph, fnd] , Yann Collet [aut] , Meta Platforms, Inc. and affiliates. [cph] , rxi [aut, cph]
Maintainer: Gabor Csardi <csardi.gabor@gmail.com>

Diff between zstd versions 0.1.0 dated 2026-10-20 and 0.1.1 dated 2026-10-29

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Package msm updated to version 1.9 with previous version 1.8.2 dated 2024-11-07

Title: Multi-State Markov and Hidden Markov Models in Continuous Time
Description: Functions for fitting continuous-time Markov and hidden Markov multi-state models to longitudinal data. Designed for processes observed at arbitrary times in continuous time (panel data) but some other observation schemes are supported. Both Markov transition rates and the hidden Markov output process can be modelled in terms of covariates, which may be constant or piecewise-constant in time.
Author: Christopher Jackson [aut, cre]
Maintainer: Christopher Jackson <chris.jackson@mrc-bsu.cam.ac.uk>

Diff between msm versions 1.8.2 dated 2024-11-07 and 1.9 dated 2026-10-29

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Package hubUtils updated to version 1.3.0 with previous version 1.2.1 dated 2026-07-15

Title: Core 'hubverse' Utilities
Description: Core set of low-level utilities common across the 'hubverse'. Used to interact with 'hubverse' schema, Hub configuration files and model outputs and designed to be primarily used internally by other 'hubverse' packages. See Reich et al. (2022) <doi:10.2105/AJPH.2022.306831> for an overview of Collaborative Hubs.
Author: Anna Krystalli [aut, cre] , Li Shandross [aut], Nicholas G. Reich [ctb] , Evan L. Ray [ctb], Zhian N. Kamvar [ctb] , Consortium of Infectious Disease Modeling Hubs [cph]
Maintainer: Anna Krystalli <annakrystalli@googlemail.com>

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Package heteroTests updated to version 0.16.0 with previous version 0.11.2 dated 2026-09-26

Title: Heteroscedasticity Diagnostics for Linear Models
Description: Provides a unified set of heteroscedasticity diagnostics for linear-model workflows. It implements classical auxiliary-regression tests, including those of White (1980) <doi:10.2307/1912934>, Breusch and Pagan (1979) <doi:10.2307/1911963>, Koenker (1981) <doi:10.1016/0304-4076(81)90062-2>, Goldfeld and Quandt (1965) <doi:10.1080/01621459.1965.10480811> and Harvey (1976) <doi:10.2307/1913974>; the score test of Cook and Weisberg (1983) <doi:10.1093/biomet/70.1.1>; the ARCH test of Engle (1982) <doi:10.2307/1912773>; and group-wise tests of equal variance, including those of Bartlett (1937) <doi:10.1098/rspa.1937.0109>, Brown and Forsythe (1974) <doi:10.1080/01621459.1974.10482955> and Hartley (1950) <doi:10.2307/2332383>. Resampling and scalable variants, simulation utilities, diagnostic visualisation and remediation helpers share a consistent interface designed for reproducible statistical workflows and integration with common [...truncated...]
Author: Diogo Ribeiro [aut, cre]
Maintainer: Diogo Ribeiro <dfr@esmad.ipp.pt>

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Package frictionless updated to version 2.0.1 with previous version 1.3.0 dated 2026-07-31

Title: Read and Write Frictionless Data Packages
Description: Read and write Frictionless Data Packages. A 'Data Package' (<https://datapackage.org/>) is a simple container format and standard to describe and package a collection of (tabular) data. It is typically used to publish FAIR (<https://www.gofair.foundation/fair-principles>) and open datasets.
Author: Peter Desmet [aut, cre] ), Damiano Oldoni [aut] ), Pieter Huybrechts [aut] ), Sanne Govaert [aut] ), Kyle Husmann [ctb] , Research Institute for Nature and Forest [cph] , Research Foundation - Flanders [fnd] , NLnet foundation [fnd] , Beatriz Milz [ [...truncated...]
Maintainer: Peter Desmet <peter.desmet@inbo.be>

Diff between frictionless versions 1.3.0 dated 2026-07-31 and 2.0.1 dated 2026-10-29

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Permanent link

Package FastKRR updated to version 0.2.2 with previous version 0.2.1 dated 2026-07-21

Title: Kernel Ridge Regression using 'RcppArmadillo'
Description: Provides core computational operations in C++ via 'RcppArmadillo', enabling faster performance than pure R, improved numerical stability, and parallel execution with OpenMP where available. On systems without OpenMP support, the package automatically falls back to single-threaded execution with no user configuration required. For efficient model selection, it integrates with 'CVST' to provide sequential-testing cross-validation and additionally supports restricted maximum likelihood (REML) for continuous optimization of the regularization parameter. The package offers a unified interface for exact kernel ridge regression and three scalable approximations—Nyström, Pivoted Cholesky, and Random Fourier Features—allowing analyses with substantially larger sample sizes than are feasible with exact KRR. It also integrates with the 'tidymodels' ecosystem via the 'parsnip' model specification 'krr_reg', and the S3 method tunable.krr_reg(). To understand the theoretical background, one can refe [...truncated...]
Author: Gyeongmin Kim [aut] , Seyoung Lee [aut] , Miyoung Jang [aut] , Kwan-Young Bak [aut, cre, cph]
Maintainer: Kwan-Young Bak <kybak@sungshin.ac.kr>

Diff between FastKRR versions 0.2.1 dated 2026-07-21 and 0.2.2 dated 2026-10-29

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More information about FastKRR at CRAN
Permanent link

Package TrackTrap updated to version 1.1.0 with previous version 1.0.1 dated 2026-08-20

Title: Calculate and Visualize Degree-Days for Pest Monitoring
Description: Combines pest trap observations with daily temperatures to calculate and visualize cumulative degree-days. Temperature inputs include 'Daymet' <https://daymet.ornl.gov>, 'Open-Meteo' <https://open-meteo.com/>, reports from the California Irrigation Management Information System ('CIMIS') <https://cimis.water.ca.gov>, and user-supplied daily weather data. Degree-days are calculated using the simple-average method with either an upper threshold applied to the daily mean or an explicitly selected calculation without an upper cutoff. The first positive trap count defines the biofix for every pest, with accumulation beginning on the following day. Negative daily degree-day values are set to zero. Users can provide temperature thresholds and optional thermal reference values. Thermal reference markers and their multiples do not independently establish flight or generation identities. Complete daily calculations and weather provenance are retained with the output to support [...truncated...]
Author: Santosh Bhandari [aut, cre], Lalit Kharel [aut], Mahesh Ghimire [aut]
Maintainer: Santosh Bhandari <santoshbhandari4556@gmail.com>

Diff between TrackTrap versions 1.0.1 dated 2026-08-20 and 1.1.0 dated 2026-10-29

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Package tceper updated to version 0.1.5 with previous version 0.1.4 dated 2026-06-01

Title: Access the 'Open Data API' of Pernambuco Court of Accounts
Description: An R interface to the 'Open Data API' of the Tribunal de Contas do Estado de Pernambuco (TCE-PE), the Court of Accounts of the State of Pernambuco, Brazil. Provides tidy, ready-to-use functions to query public data on revenues, expenditures, commitments, procurement, contracts, agreements, public works, legal processes, personnel and reference tables for all state and municipal government entities in Pernambuco. All results are returned as tibbles with column names converted to 'snake_case' by default. Uses 'httr2' for HTTP requests and 'cli' for user-friendly messages. See <https://sistemas.tcepe.tc.br/DadosAbertos/> for the API documentation.
Author: Andre Leite [aut, cre] , Marcos Wasiliew [aut] , Hugo Vasconcelos [aut] , Carlos Amorim [aut] , Diogo Bezerra [aut] , Julia Nascimento Barreto [aut]
Maintainer: Andre Leite <leite@castlab.org>

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Package streamConnect readmission to version 0.1.1 with previous version 0.1.0 dated 2026-10-23

Title: Connecting Stream Mining Components Using Sockets and Web Services
Description: Adds functionality to connect stream mining components from the stream package using sockets and Web services. The package can be used to create distributed workflows and plumber-based Web services that can be deployed on most common cloud services.
Author: Michael Hahsler [aut, cre, cph]
Maintainer: Michael Hahsler <mhahsler@lyle.smu.edu>

This is a re-admission after prior archival of version 0.1.0 dated 2026-10-23

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Package semTests updated to version 2.0.0 with previous version 1.0.0 dated 2026-07-19

Title: Robust Test Statistics for Structural Equation Models
Description: Computes robust p-values for overall fit and nested comparisons of structural equation models fitted with 'lavaan'. Implements penalized eigenvalue block averaging and penalized regression (Foldnes, Moss, Grønneberg, 2025) <doi:10.1080/10705511.2024.2372028>, including their extension to nested models (Foldnes, Grønneberg, Moss, 2026) <doi:10.3758/s13428-026-02968-4>, alongside familiar corrections such as Satorra-Bentler. Supported settings include complete-data ML, GLS, and ULS, categorical DWLS and ULS, and full-information maximum likelihood with one or several groups. Score and criterion-difference tests of parameter restrictions are also available, including restrictions in misspecified models.
Author: Jonas Moss [aut, cre] , Njal Foldnes [ctb] , Steffen Groenneberg [ctb]
Maintainer: Jonas Moss <jonas.moss.statistics@gmail.com>

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Package scholar updated to version 1.0.1 with previous version 1.0.0 dated 2026-07-07

Title: Analyse Citation Data from Google Scholar
Description: Provides tools to retrieve, analyse, and format publication and citation data from Google Scholar profiles. It supports profile lookup, publication records, citation histories, scholar comparison, coauthor networks, journal ranking queries, CV-ready publication lists, and citation metric summaries.
Author: Guangchuang Yu [aut, cre] , James Keirstead [aut], Gregory Jefferis [aut] , Gordon Getzinger [ctb], Jorge Cimentada [ctb], Max Czapanskiy [ctb], Dominique Makowski [ctb]
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>

Diff between scholar versions 1.0.0 dated 2026-07-07 and 1.0.1 dated 2026-10-29

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