Sat, 10 Oct 2026

Package wrappedtools updated to version 0.10.0 with previous version 0.9.9 dated 2025-09-04

Title: Useful Wrappers Around Commonly Used Functions
Description: The main functionalities of 'wrappedtools' are: adding backticks to variable names; rounding to desired precision with special case for p-values; selecting columns based on pattern and/or class and storing their position, name, and backticked name; computing and formatting of descriptive statistics (e.g. mean±SD), comparing groups and creating publication-ready tables with descriptive statistics and p-values; creating specialized plots for correlation matrices. Functions were mainly written for my own daily work or teaching, but may be of use to others as well.
Author: Andreas Busjahn [cre, aut] , Franziska Eidloth [aut], Bilal Asser [aut]
Maintainer: Andreas Busjahn <andreas@busjahn.net>

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Package scorecraft updated to version 0.3.2 with previous version 0.3.0 dated 2026-10-06

Title: Scorecard Development and Internal Ratings-Based Risk Parameters
Description: Builds points scorecards for binary targets (credit risk, fraud, propensity) on the optimal binning and weight of evidence engine of 'OptimalBinningWoE', and takes them to the risk parameters of the internal ratings-based (IRB) approach. Variables are selected through optimal binning, eight admission rules, hold-out revalidation with frozen bins and a consensus of 'glmnet', 'xgboost', 'lightgbm' and 'ranger' models weighted by out-of-sample performance; the audit funnel never drops a candidate from the report. The scorecard is fitted with an explicit, auditable scale alignment (a log-odds regression on the raw score composed with the points-to-double-the-odds map); cut-offs are swept with frozen cuts; reject inference is reported as a sensitivity band; the population and characteristic stability indices (PSI and CSI) are monitored with both the fixed and the sample-size-adjusted threshold; and production SQL is generated in fourteen dialects, with the agreement between R and SQL verifi [...truncated...]
Author: Jose Evandeilton Lopes [aut, cre, cph]
Maintainer: Jose Evandeilton Lopes <evandeilton@gmail.com>

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Package fdb updated to version 0.2.2 with previous version 0.2.0 dated 2026-10-04

Title: Frequentist Dynamic Borrowing for Hybrid-Control Survival Trials
Description: Implements a class of likelihood-informed frequentist dynamic borrowing methods for hybrid-control survival trials based on penalized Cox partial likelihood estimation. Implements four likelihood-informed penalty structures (precision-weighted L1, smoothed integrated-gate, information-adaptive minimax concave penalty (MCP), and likelihood-ratio-weighted L1), together with the adaptive lasso borrowing approach of Li et al. (2023, <doi:10.1002/bimj.202100406>). Provides conditional model-based standard errors and local plug-in sandwich variance approximations, with smoothed penalties. Tools for design-stage lambda calibration via simulation, including a two-stage coarse-fine grid search, drift-level early stopping, and per-method tuning under both inference types, are also provided. A simulation harness for evaluating type I error and statistical power across population drift scenarios is included.
Author: Yusuke Yamaguchi [aut, cre]
Maintainer: Yusuke Yamaguchi <yamagubed@gmail.com>

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Package neuralnetwork updated to version 0.1.4 with previous version 0.1.1 dated 2026-09-06

Title: Fast Compact Multilayer Perceptrons
Description: A small multilayer perceptron implementation for 'R'. It supports regression and classification, multiple hidden layers, mini-batch training, adaptive moment estimation, stochastic gradient descent, momentum, Nesterov acceleration, resilient backpropagation and limited-memory quasi-Newton optimization, dropout, squared-weight regularization, early stopping, convergence thresholds, gradient clipping, sample and class weights, callback hooks, target scaling and robust Huber loss for regression, 'Rcpp' forward-pass kernels, formula interfaces, model evaluation with balanced classification metrics, cross-validation, compact tuning, permutation importance, model persistence helpers, and standard prediction methods. Methods follow Rumelhart, Hinton and Williams (1986) <doi:10.1038/323533a0>, with optimizers including Riedmiller and Braun (1993) <doi:10.1109/ICNN.1993.298623>, Nocedal (1980) <doi:10.1090/S0025-5718-1980-0572855-7>, and Kingma and Ba (2014) <doi:10.48550/a [...truncated...]
Author: Feng Ji [aut, cre]
Maintainer: Feng Ji <f.ji@utoronto.ca>

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Package iSTATS updated to version 1.8 with previous version 1.7 dated 2023-12-05

Title: A Graphical Interface to Perform STOCSY Analyses on NMR Data
Description: Launches a 'shiny' based application for Nuclear Magnetic Resonance (NMR) data importation and Statistical TOtal Correlation SpectroscopY (STOCSY) analyses in a full interactive approach. The theoretical background and applications of the STOCSY method are described by Cloarec, O., Dumas, M. E., Craig, A., Barton, R. H., Trygg, J., Hudson, J., Blancher, C., Gauguier, D., Lindon, J. C., Holmes, E. & Nicholson, J. (2005) <doi:10.1021/ac048630x>. Spectral alignment follows the interval correlation optimized shifting method of Savorani, F., Tomasi, G. & Engelsen, S. B. (2010) <doi:10.1016/j.jmr.2009.11.012>.
Author: Luiz Henrique Keng Queiroz Junior [aut, cre], Vitor Mendes de Oliveira [aut], Renan Ziemann Wilhelms [aut]
Maintainer: Luiz Henrique Keng Queiroz Junior <keng@ufg.br>

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Package essential8 updated to version 0.2.0 with previous version 0.1.0 dated 2026-09-03

Title: Reproducible Cardiovascular Health Metric Scoring
Description: Provides a reproducible R implementation of the American Heart Association Life's Essential 8 cardiovascular health scoring framework for adult records from people aged 20 years or older. Calculates the eight component scores and their unweighted composite score from available component data using the 2022 adult definition described by Lloyd-Jones et al. (2022) <doi:10.1161/CIR.0000000000001078>.
Author: Carson Richardson [aut, cre, cph] , Amrik Khalsa [ctb] , Sara Conroy [ctb]
Maintainer: Carson Richardson <carson.richardson@outlook.com>

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Package duckspatial updated to version 1.3.0 with previous version 1.2.1 dated 2026-07-04

Title: R Interface to 'DuckDB' Database with Spatial Extension
Description: Fast and memory-efficient functions to analyze and manipulate large spatial datasets. It leverages the fast analytical capabilities of ‘DuckDB’ and its spatial extension (see <https://duckdb.org/docs/stable/core_extensions/spatial/overview>) while maintaining compatibility with R’s spatial data ecosystem to work with spatial vector data.
Author: Adrian Cidre Gonzalez [aut, cre] , Egor Kotov [aut] , Rafael H. M. Pereira [aut]
Maintainer: Adrian Cidre Gonzalez <adrian.cidre@gmail.com>

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Package denstest updated to version 1.0.2 with previous version 1.0.1 dated 2026-06-25

Title: Density Equality Testing
Description: Methods for testing the equality between groups of estimated density functions. The package implements FDET (Fourier-based Density Equality Testing) and MDET (Moment-based Density Equality Testing), two new approaches introduced by the author. Both methods extend an earlier testing approach by Delicado (2007), "Functional k-sample problem when data are density functions" <doi:10.1007/s00180-007-0047-y>, which is referred to as DET (Density Equality Testing) in this package for clarity. FDET compares groups of densities based on their global shape using Fourier transforms, while MDET tests for differences in distributional moments. All methods are described in Anarat, Krutmann and Schwender (2026), "Testing for Differences in Extrinsic Skin Aging Based on Density Functions" (Under revision).
Author: Akin Anarat [aut, cre]
Maintainer: Akin Anarat <akin.anarat@hhu.de>

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Permanent link

Package bayprior updated to version 0.4.0 with previous version 0.3.2 dated 2026-08-19

Title: Bayesian Prior Elicitation, Diagnostics, and Regulatory Reporting
Description: A toolkit for constructing, validating, and justifying Bayesian priors in clinical trial settings. Implements expert elicitation via quantile matching, the roulette method, and moment matching across six distribution families, linear and logarithmic expert pooling, meta-analytic-predictive (MAP) priors derived from historical trials, prior-data conflict diagnostics including the Box p-value (with an exact prior predictive option for selected prior and data combinations), an exploratory surprisal (S-value) companion to it, surprise index, information divergence, and Mahalanobis distance, sensitivity analyses with tornado and influence heatmap plots, sceptical, robust, and power priors, and automated prior justification reports. Includes a fully modular 'Shiny' application for interactive use. Methods based on O'Hagan et al. (2006, ISBN:9780470029886), Box (1980) <doi:10.2307/2982063>, Greenland (2023) <doi:10.1111/sjos.12625>, Oakley and O'Hagan (2010) <https://tonyohagan [...truncated...]
Author: Ndoh Penn [aut, cre]
Maintainer: Ndoh Penn <ndohpenn9@gmail.com>

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Package enviGCMS updated to version 0.9.1 with previous version 0.9.0 dated 2026-10-07

Title: GC/LC-MS Data Analysis for Environmental Science
Description: Gas/Liquid Chromatography-Mass Spectrometer(GC/LC-MS) Data Analysis for Environmental Science. This package covered topics such molecular isotope ratio, matrix effects and Short-Chain Chlorinated Paraffins analysis etc. in environmental analysis.
Author: Miao YU [aut, cre] , Thanh Wang [ctb]
Maintainer: Miao YU <yufreecas@gmail.com>

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Package BGVAR updated to version 2.7.0 with previous version 2.5.9 dated 2025-09-22

Title: Bayesian Global Vector Autoregressions
Description: Estimation of Bayesian Global Vector Autoregressions (BGVAR) with different prior setups and the possibility to introduce stochastic volatility. Built-in priors include the Minnesota, the stochastic search variable selection and Normal-Gamma (NG) prior. For a reference see also Crespo Cuaresma, J., Feldkircher, M. and F. Huber (2016) "Forecasting with Global Vector Autoregressive Models: a Bayesian Approach", Journal of Applied Econometrics, Vol. 31(7), pp. 1371-1391 <doi:10.1002/jae.2504>. Post-processing functions allow for doing predictions, structurally identify the model with short-run or sign-restrictions and compute impulse response functions, historical decompositions and forecast error variance decompositions. Plotting functions are also available. The package has a companion paper: Boeck, M., Feldkircher, M. and F. Huber (2022) "BGVAR: Bayesian Global Vector Autoregressions with Shrinkage Priors in R", Journal of Statistical Software, Vol. 104(9), pp. 1-28 <doi:10.18 [...truncated...]
Author: Maximilian Boeck [aut, cre] , Martin Feldkircher [aut] , Florian Huber [aut] , Darjus Hosszejni [ctb]
Maintainer: Maximilian Boeck <maximilian.boeck@wu.ac.at>

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Package polle updated to version 1.6.6 with previous version 1.6.5 dated 2026-09-30

Title: Policy Learning
Description: Package for learning and evaluating (subgroup) policies via doubly robust loss functions. Policy learning methods include doubly robust blip/conditional average treatment effect learning and sequential policy tree learning. Methods for (subgroup) policy evaluation include doubly robust cross-fitting and online estimation/sequential validation. See Nordland and Holst (2026) <doi:10.18637/jss.v116.i04> for documentation and references.
Author: Andreas Nordland [aut, cre], Klaus Holst [aut]
Maintainer: Andreas Nordland <andreasnordland@gmail.com>

Diff between polle versions 1.6.5 dated 2026-09-30 and 1.6.6 dated 2026-10-10

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Permanent link

New package tidycreel with initial version 8.0.0
Package: tidycreel
Title: Tidy Interface for Creel Survey Design and Analysis
Version: 8.0.0
Description: Provides a tidy, pipe-friendly interface for creel survey design, data management, estimation, visualisation, and reporting. A creel survey interviews anglers on site to estimate fishing effort, catch, and harvest for a water body. Built on the 'survey' package for design-based inference, with support for instantaneous, bus-route, ice, camera, and aerial designs. Catch-rate estimators follow Hoenig, Jones, Pollock, Robson and Wade (1997) <doi:10.2307/2533116>; bus-route designs follow Kinloch, McGlennon, Nicoll and Pike (1997) <doi:10.1016/s0165-7836(97)00068-4>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1.0)
Imports: checkmate, cli, dplyr, generics, ggplot2, lifecycle, rlang, stats, survey, tibble, tidyselect (>= 1.2.0)
Suggests: bench, covr, DBI, duckdb, glmmTMB, hedgehog, htmlwidgets, knitr, lintr, lme4, lubridate (>= 1.9.0), pkgdown, pkgload, quickcheck, profvis, readxl (>= 1.4.0), rmarkdown, styler, testthat (>= 3.0.0), withr, writexl (>= 1.5.4), zipcodeR
VignetteBuilder: knitr
URL: https://github.com/chrischizinski/tidycreel, https://chrischizinski.com/tidycreel/
BugReports: https://github.com/chrischizinski/tidycreel/issues
NeedsCompilation: no
Packaged: 2026-09-30 18:33:31 UTC; cchizinski2
Author: Christopher Chizinski [aut, cre, cph]
Maintainer: Christopher Chizinski <cchizinski2@unl.edu>
Repository: CRAN
Date/Publication: 2026-10-10 11:20:02 UTC

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New package ResistantProcrustes with initial version 0.1.1
Package: ResistantProcrustes
Title: Resistant Procrustes Methods for Multivariate Data
Version: 0.1.1
Imports: gllvm, fBasics, gtools
Description: Provides resistant alternatives to the standard Procrustes analysis for comparing multivariate datasets, including seven resistant Procrustean methods and their associated permutation tests, as well as the standard Procrustes analysis and its permutation tests. Methods are based on Tang and Jackson (2026) "Improving and evaluating resistant alternatives to Procrustes analysis for multivariate dataset matching" <doi:10.1002/env.70073>.
License: MIT + file LICENSE
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-09-30 19:57:29 UTC; xiaozhuotang
Author: Xiaozhuo Tang [aut, cre]
Maintainer: Xiaozhuo Tang <xiaozhuot@mun.ca>
Repository: CRAN
Date/Publication: 2026-10-10 11:30:19 UTC

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New package mongolmaps with initial version 0.1.0
Package: mongolmaps
Title: Maps and Administrative Boundaries of Mongolia and Ulaanbaatar
Version: 0.1.0
Description: Ready-to-use 'sf' maps of Mongolia at every openly available administrative level: country, economic regions, aimags (provinces), soums and Ulaanbaatar districts, and Ulaanbaatar khoroos (subdistricts), with codes and names for every bag. Provides a crosswalk between English and Cyrillic names, common spelling variants, ISO 3166-2 codes, humanitarian P-codes and National Statistics Office codes; helpers to join statistics to maps; thematic layers (settlements, rivers, lakes, roads, railways, airports, elevation, land cover, population and protected areas); and quick 'ggplot2' and 'leaflet' maps. Boundaries derive from the Common Operational Dataset published by the National Statistics Office of Mongolia and the United Nations Office for the Coordination of Humanitarian Affairs <https://data.humdata.org/dataset/cod-ab-mng>.
License: MIT + file LICENSE
Copyright: See file inst/COPYRIGHTS for data sources and their licences.
URL: https://github.com/temuulene/mongolmaps, https://temuulene.github.io/mongolmaps/
BugReports: https://github.com/temuulene/mongolmaps/issues
Depends: R (>= 4.1.0)
Imports: cli (>= 3.6.0), curl, dplyr (>= 1.1.0), grDevices, httr2 (>= 1.0.0), openssl, purrr (>= 1.0.0), rlang (>= 1.1.0), sf (>= 1.0-12), stats, stringi, tibble, tools, utils
Suggests: covr, geofacet, ggplot2 (>= 3.5.0), ggrepel, knitr, leaflet, mongolstats, rmarkdown, s2, scales, terra (>= 1.7-0), testthat (>= 3.2.0), vdiffr, withr
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2026-09-30 20:53:49 UTC; Temuulen
Author: Temuulen Enebish [aut, cre, cph]
Maintainer: Temuulen Enebish <temuulen@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-10 11:30:02 UTC

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New package MCAtools with initial version 1.0.0
Package: MCAtools
Title: Multiple Correspondence Analysis Toolkit (Phi-Divergence Framework)
Version: 1.0.0
Description: A toolkit for performing Multiple Correspondence Analysis (MCA) based on the phi-divergence framework of Cressie and Read (1984) <doi:10.1111/j.2517-6161.1984.tb01318.x>. Provides implementations for MCA computation mca_analysis(), visualization plot_mca(), and symbolic equation generation generate_mca_equation(), designed for interpretability, flexibility, and analytical consistency with generalized divergence measures.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1.0)
Imports: stats, graphics, utils
Suggests: FactoMineR, ggplot2, dplyr
URL: https://github.com/nskamdem/MCAtools
BugReports: https://github.com/nskamdem/MCAtools/issues
NeedsCompilation: no
Packaged: 2026-09-30 22:14:53 UTC; MSI
Author: Awa Traore [aut], Assi Lazare N'GUESSAN [aut], MOUSSA Kouame Richard [aut], Nona Servais KAMDEM SIMO [aut, cre], Muhamad Setyawan Bahari [aut]
Maintainer: Nona Servais KAMDEM SIMO <nona.kamdem@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-10 11:40:02 UTC

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New package irelink with initial version 0.0.1
Package: irelink
Title: Fast Probabilistic Record Linkage
Version: 0.0.1
Description: Performs fast, scalable probabilistic record linkage and deduplication using the Fellegi-Sunter model. Records lacking a shared unique identifier are compared across configurable dimensions using exact, fuzzy, and distance-based comparisons, with model parameters estimated via unsupervised Expectation-Maximization. Multiple SQL backends are supported through 'DBI', including execution via 'DuckDB'. This package is a translation of the Python 'splink' library by Linacre et al. (2022) <doi:10.23889/ijpds.v7i3.1794> into idiomatic R.
License: MIT + file LICENSE
Depends: R (>= 4.1.0)
Encoding: UTF-8
Imports: cli, DBI, duckdb, ggplot2, glue, rlang, stringdist, tibble, tidyselect
Suggests: dbplyr, dplyr, igraph, jsonlite, knitr, nanoparquet, rmarkdown, RSQLite, spelling, testthat (>= 3.0.0), withr
URL: https://christophertkenny.com/irelink/, https://github.com/christopherkenny/irelink
BugReports: https://github.com/christopherkenny/irelink/issues
VignetteBuilder: knitr
LazyData: true
Language: en-US
NeedsCompilation: no
Packaged: 2026-09-30 20:05:49 UTC; chris
Author: Christopher T. Kenny [aut, cre, cph] , Robin Linacre [cph] , Sam Lindsay [cph] , Theodore Manassis [cph] , Tom Hepworth [cph] , Andy Bond [cph] , Ross Kennedy [cph] , UK Ministry of Justice [cph]
Maintainer: Christopher T. Kenny <ctkenny@proton.me>
Repository: CRAN
Date/Publication: 2026-10-10 11:30:09 UTC

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New package dbcturbo with initial version 0.2.0
Package: dbcturbo
Title: High-Performance Streaming Reader for 'DATASUS' DBC Files
Version: 0.2.0
Date: 2026-09-30
Description: A modern, memory-efficient R package for reading and converting DBC files produced by the Brazilian Ministry of Health's 'DATASUS' system. DBC files are DBF databases compressed with the 'PKWare' implode algorithm. Unlike 'read.dbc', this package processes files in streaming mode, never loading the full dataset into RAM. It can export directly to CSV or DBF and provides R helpers for in-memory reading and Parquet conversion.
License: AGPL-3
URL: https://github.com/GPimentel14/dbcturbo
BugReports: https://github.com/GPimentel14/dbcturbo/issues
Encoding: UTF-8
Depends: R (>= 4.0.0)
NeedsCompilation: yes
SystemRequirements: C99 compiler
Suggests: data.table (>= 1.14.0), arrow (>= 12.0.0), testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
Packaged: 2026-09-30 18:03:41 UTC; gumercindo
Author: Gumercindo Pimentel Peralta [aut, cre] , Juliana da Silva [ths] , Mark Adler [ctb] ), Daniela Petruzalek [ctb] , Pablo Fonseca [ctb]
Maintainer: Gumercindo Pimentel Peralta <gumercindopimentel@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-10 11:20:20 UTC

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Package wordbankr readmission to version 2.0.0 with previous version 1.0.3 dated 2024-03-01

Title: Accessing the 'Wordbank' Database
Description: Connecting to 'Wordbank' <https://wordbank.stanford.edu>, an open repository for developmental vocabulary data from the MacArthur-Bates Communicative Development Inventories (Frank et al. 2017 <doi:10.1017/S0305000916000209>). Data are read from a versioned dataset hosted on 'Redivis', so analyses can be pinned to a specific release.
Author: Mika Braginsky [aut, cre, cph], Daniel Yurovsky [ctb], Michael Frank [ctb], Danielle Kellier [ctb], Alvin Tan [ctb]
Maintainer: Mika Braginsky <mika.br@gmail.com>

This is a re-admission after prior archival of version 1.0.3 dated 2024-03-01

Diff between wordbankr versions 1.0.3 dated 2024-03-01 and 2.0.0 dated 2026-10-10

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 wordbankr-2.0.0/wordbankr/inst/doc/wordbankr.html        |  301 +----
 wordbankr-2.0.0/wordbankr/man/check_db_args.Rd           |only
 wordbankr-2.0.0/wordbankr/man/get_administration_data.Rd |   41 
 wordbankr-2.0.0/wordbankr/man/get_aoa.Rd                 |only
 wordbankr-2.0.0/wordbankr/man/get_crossling_data.Rd      |   12 
 wordbankr-2.0.0/wordbankr/man/get_crossling_items.Rd     |   10 
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 wordbankr-2.0.0/wordbankr/man/get_instruments.Rd         |   14 
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 33 files changed, 918 insertions(+), 974 deletions(-)

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New package UMDA with initial version 0.1.0
Package: UMDA
Title: Univariate Marginal Distribution Algorithm
Description: Implements the Univariate Marginal Distribution Algorithm (UMDA), an Estimation of Distribution Algorithm (EDA) for continuous optimization problems. The method iteratively selects the best individuals from a population, estimates an independent marginal probability distribution for each decision variable, and generates new candidate solutions by sampling from the estimated distributions. This process allows the probability model to adapt toward promising regions of the search space. The implementation supports normal, triangular, histogram-based, and uniform probability distributions, together with an optional explicit exploration strategy for the initialization of the population. The implemented explicit exploration strategy in this package is described in Salinas Gutierrez and Muñoz Zavala (2023) <doi:10.1016/j.asoc.2023.110230>.
Version: 0.1.0
License: GPL-3
Encoding: UTF-8
Imports: EEEA
NeedsCompilation: no
Packaged: 2026-09-29 04:35:19 UTC; rogel
Author: Rogelio Salinas Gutierrez [aut, cre, cph] , Juan Alberto Davila del Alto [aut, cph] , Jhon Daniel Aguilar Payares [aut, cph] , Jonathan Michell Jauregui Carranza [aut, cph] , Hiram Efraim Macias Ruelas [aut, cph] , Byron Axel Morales Gutierrez [aut, [...truncated...]
Maintainer: Rogelio Salinas Gutierrez <rogelio.salinas@edu.uaa.mx>
Repository: CRAN
Date/Publication: 2026-10-10 10:10:18 UTC

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New package toeclim with initial version 0.1.0
Package: toeclim
Title: Time of Emergence of Climate Signals from Internal Variability
Version: 0.1.0
Description: Detects when a forced climate change signal emerges from internal variability ('time of emergence') in annual climate time series such as temperature or precipitation. The signal is estimated with a linear, quadratic or locally weighted smoother and compared with noise estimated from a baseline period. Emergence is defined through configurable signal-to-noise thresholds and persistence rules. Uncertainty in the time of emergence is quantified by autoregressive or moving-block bootstrap resampling. Helpers are provided for multi-member ensembles, threshold sensitivity, anomaly and annual aggregation, Mann-Kendall trend tests with trend-free prewhitening, and synthetic data generation. The approach builds on Hawkins and Sutton (2012) <doi:10.1029/2011GL050087>, Yue et al. (2002) <doi:10.1002/hyp.1095> and Sen (1968) <doi:10.1080/01621459.1968.10480934>.
License: MIT + file LICENSE
Depends: R (>= 3.5.0)
Imports: graphics, grDevices, stats
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2026-09-30 09:32:57 UTC; root
Author: Abul Kashem Faruki Fahim [aut, cre, cph]
Maintainer: Abul Kashem Faruki Fahim <farukifahim@du.ac.bd>
Repository: CRAN
Date/Publication: 2026-10-10 10:50:02 UTC

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New package tidymedia with initial version 0.2.1
Package: tidymedia
Title: Media File Preprocessing and Metadata for the 'tidyverse'
Version: 0.2.1
Description: Batch preprocessing and metadata extraction for audio, video and image files, built on the command-line programs 'FFmpeg' (<https://ffmpeg.org/>) and 'MediaInfo' (<https://mediaarea.net/en/MediaInfo>). Trim, crop, scale, convert and standardize files one at a time or across a whole directory, and read container and stream metadata back as tibbles for use with the 'tidyverse'.
License: GPL-3
URL: https://github.com/jmgirard/tidymedia, https://jmgirard.github.io/tidymedia/
BugReports: https://github.com/jmgirard/tidymedia/issues
Depends: R (>= 4.1.0)
Imports: archive (>= 1.1.1), cli (>= 3.4.0), digest (>= 0.6.37), dplyr (>= 1.1.0), glue (>= 1.6.2), purrr (>= 1.0.0), rappdirs (>= 0.3.3), rlang (>= 1.2.0), tibble (>= 3.1.4), tools, utils, withr (>= 2.5.0)
Suggests: furrr (>= 0.3.0), future (>= 1.30.0), knitr (>= 1.40), rmarkdown (>= 2.16), roxygen2 (>= 7.2.0), spelling (>= 2.2), testthat (>= 3.0.0)
SystemRequirements: FFmpeg (https://ffmpeg.org/), MediaInfo (https://mediaarea.net/en/MediaInfo)
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2026-09-29 16:06:56 UTC; jmgirard
Author: Jeffrey Girard [aut, cre]
Maintainer: Jeffrey Girard <me@jmgirard.com>
Repository: CRAN
Date/Publication: 2026-10-10 10:30:02 UTC

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New package symtests with initial version 0.1.0
Package: symtests
Title: Symmetry Tests for Univariate Data
Version: 0.1.0
Description: Implements statistical tests for detecting departures from symmetry in univariate data, including procedures based on moments, spacings, order statistics, and triples. The functions provide straightforward tools for assessing symmetry in empirical distributions.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-09-29 15:08:50 UTC; Isabel
Author: Isabel Parra-Frutos [aut, cre], Lourdes Molera [aut]
Maintainer: Isabel Parra-Frutos <ipf@um.es>
Repository: CRAN
Date/Publication: 2026-10-10 10:40:02 UTC

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Package SeqNet readmission to version 1.1.4 with previous version 1.1.3 dated 2021-07-09

Title: Generate RNA-Seq Data from Gene-Gene Association Networks
Description: Methods to generate random gene-gene association networks and simulate RNA-seq data from them, as described in Grimes and Datta (2021) <doi:10.18637/jss.v098.i12>. Includes functions to generate random networks of any size and perturb them to obtain differential networks. Network objects are built from individual, overlapping modules that represent pathways. The resulting network has various topological properties that are characteristic of gene regulatory networks. RNA-seq data can be generated such that the association among gene expression profiles reflect the underlying network. A reference RNA-seq dataset can be provided to model realistic marginal distributions. Plotting functions are available to visualize a network, compare two networks, and compare the expression of two genes across multiple networks.
Author: Tyler Grimes [aut, cre], Somnath Datta [aut]
Maintainer: Tyler Grimes <tyler.grimes@unf.edu>

This is a re-admission after prior archival of version 1.1.3 dated 2021-07-09

Diff between SeqNet versions 1.1.3 dated 2021-07-09 and 1.1.4 dated 2026-10-10

 DESCRIPTION              |    7 ++++---
 MD5                      |   29 +++++++++++++++++------------
 NAMESPACE                |    1 +
 R/data.R                 |   23 ++++++++++++-----------
 R/imports.R              |    1 +
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 build/partial.rdb        |binary
 build/vignette.rds       |only
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 man/plot_gene_pair.Rd    |    6 +++---
 man/plot_modules.Rd      |    2 +-
 man/plot_network.Rd      |    2 +-
 man/plot_network_diff.Rd |    2 +-
 man/reference.Rd         |   13 +++++++------
 vignettes                |only
 16 files changed, 54 insertions(+), 44 deletions(-)

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New package sbwadjust with initial version 0.3.0
Package: sbwadjust
Title: Stable Balancing Weights for Covariate Adjustment in Trials
Version: 0.3.0
Description: Covariate adjustment for randomized trials using stable balancing weights (SBW), as proposed by Irish, Zubizarreta, and Luedtke (2026) <doi:10.48550/arXiv.2609.01638>. sbw_weights() fits exact-balance SBW for a two-arm study by a closed-form solve with a nonnegative quadratic-programming fallback; sbw_estimate() computes a closed menu of treatment-effect estimands (average treatment effect, relative risk, survival ratio, Mann-Whitney, quantile contrasts) from the fitted weights, with bootstrap confidence intervals.
License: MIT + file LICENSE
URL: https://github.com/kaylairish/sbwadjust
BugReports: https://github.com/kaylairish/sbwadjust/issues
Encoding: UTF-8
Language: en-US
Imports: graphics, quadprog, stats, survival
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-09-29 13:01:59 UTC; kaylairish
Author: Kayla Irish [aut, cre]
Maintainer: Kayla Irish <kayla.a.irish@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-10 10:20:02 UTC

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New package rjd3filters with initial version 2.4.0
Package: rjd3filters
Title: Trend-Cycle Extraction with Linear Filters with 'JDemetra+ 3.x'
Version: 2.4.0
Description: Build and apply symmetric and asymmetric moving averages (= linear filters) for trend-cycle extraction. In particular, it implements several modern approaches for real-time estimates from the viewpoint of revisions and time delay in detecting turning points. It includes the local polynomial approach of Proietti and Luati (2008), the Reproducing Kernel Hilbert Space (RKHS) of Dagum and Bianconcini (2008) and the Fidelity-Smoothness-Timeliness approach of Grun-Rehomme, Guggemos, and Ladiray (2018). It is based on 'Java' libraries developed in 'JDemetra+' (<https://github.com/jdemetra>), time series analysis software.
Depends: R (>= 4.1.0)
Imports: rJava (>= 1.0-6), methods, MASS, graphics, stats, utils, rjd3jars (>= 0.0.5), rjd3toolkit (>= 3.7.1)
SystemRequirements: Java (>= 21)
License: EUPL
LazyData: TRUE
URL: https://github.com/rjdverse/rjd3filters, https://rjdverse.github.io/rjd3filters/
BugReports: https://github.com/rjdverse/rjd3filters/issues
Suggests: knitr, rmarkdown, spelling
Encoding: UTF-8
Language: en-GB
NeedsCompilation: no
Packaged: 2026-09-29 20:13:54 UTC; alainquartierlatente
Author: Alain Quartier-la-Tente [aut, cre, cph] , Jean Palate [aut], Tanguy Barthelemy [ctb], Anna Smyk [ctb]
Maintainer: Alain Quartier-la-Tente <alain.quartier@yahoo.fr>
Repository: CRAN
Date/Publication: 2026-10-10 10:20:07 UTC

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New package PICOTsize with initial version 0.1.0
Package: PICOTsize
Title: Sample Size Calculation for PICOT-Based Study Designs
Version: 0.1.0
Description: Provides sample size calculators for the study designs covered by the PICOT framework, including cross-sectional, case-control, cohort, superiority, non-inferiority, and equivalence clinical trials, and diagnostic test accuracy studies, following Bhardwaj et al. (2024) <doi:10.4103/jfmpc.jfmpc_1675_23>. Calculations are performed using the 'epiR' package as a validated computational backend. Includes a 'shiny' application with a PICOT-based design wizard, an interactive sensitivity plot, and automatically generated Methods-section text for manuscripts.
License: MIT + file LICENSE
Depends: R (>= 4.1.0)
Encoding: UTF-8
Imports: bslib, epiR, ggplot2, plotly, rlang, shiny
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
URL: https://github.com/AtefehRashidi/PICOTsize, https://orcid.org/0009-0002-3834-3183
BugReports: https://github.com/AtefehRashidi/PICOTsize/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-09-30 10:43:45 UTC; Administrator
Author: Atefeh Rashidi Pour [aut, cre]
Maintainer: Atefeh Rashidi Pour <rashidiatefeh98@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-10 10:10:25 UTC

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New package ocupacoesBR with initial version 0.8.2
Package: ocupacoesBR
Title: Traduz a Ocupação Declarada ao TSE em Classificações Padronizadas. English: Translates Occupations Declared to the TSE into Standardized Classifications
Version: 0.8.2
Description: Traduz a ocupação registrada em fontes brasileiras para a Classificação Internacional Uniforme de Ocupações (ISCO-88 e ISCO-08) e, a partir dela, para medidas padronizadas de posição social: o índice socioeconômico ISEI (Ganzeboom e Treiman, 1996 <doi:10.1006/ssre.1996.0010>), o prestígio SIOPS (Treiman, 1977, ISBN:0-12-698750-5), o esquema de classes Erikson-Goldthorpe-Portocarero (EGP; Erikson, Goldthorpe e Portocarero, 1979 <doi:10.2307/589632>) e um esquema de classes e estratos desenhado para o dado eleitoral. Traz ainda o ISEI-BR, uma régua estimada pelo pacote: o procedimento de Ganzeboom, De Graaf e Treiman (1992) <doi:10.1016/0049-089X(92)90017-B> refeito sobre a PNAD Contínua, em vez de importado de dado estrangeiro. As decisões de medida estão justificadas em Peixoto (2026) <doi:10.31235/osf.io/b29kg_v1>. Há duas portas de entrada: o código de ocupação declarado nas candidaturas ao Tribunal Superior Eleitoral (TSE) e a Classificação Brasileira de Ocup [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
Language: pt-BR
Depends: R (>= 4.1)
Imports: stats, utils
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, readxl
VignetteBuilder: knitr
URL: https://github.com/moraespeixoto/ocupacoesBR, https://moraespeixoto.github.io/ocupacoesBR/
BugReports: https://github.com/moraespeixoto/ocupacoesBR/issues
LazyData: true
NeedsCompilation: no
Packaged: 2026-09-30 11:16:39 UTC; vitor-peixoto
Author: Vitor Peixoto [aut, cre]
Maintainer: Vitor Peixoto <moraespeixoto@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-10 10:10:02 UTC

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New package NSCA with initial version 0.4.5
Package: NSCA
Title: Necessary and Sufficient Condition Analysis
Version: 0.4.5
Date: 2026-09-30
Description: Tests and quantifies bivariate statements in which a condition is both necessary and sufficient for an outcome. Necessity and sufficiency are estimated as two empty-space frontiers on diagonally opposite corners of the same scatter plot, using the 'NCA' package of Dul (2016) <doi:10.1177/1094428115584005> for the necessity side and 'SCAtools' for the sufficiency side. The two empty zones and the region between them tile the analytic scope, which yields the reported areas as one identity rather than as separate definitions: a weakest-component effect, a normalised geometric mean of the two components, the share of the scope the claims jointly rule out, and the data zone they still admit. The conjunction is decided by an intersection-union combination of the two directional permutation tests, optionally driven by a single shared permutation sequence so that a statistic of both components can also be tested. These are random-pairing screens rather than direct tests of a causal neces [...truncated...]
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: ggplot2 (>= 3.4.0), NCA (>= 5.0.2), SCAtools (>= 0.4.1), stats, utils
Suggests: testthat (>= 3.0.0)
URL: https://github.com/youngchanresearcher/NSCA
BugReports: https://github.com/youngchanresearcher/NSCA/issues
NeedsCompilation: no
Packaged: 2026-09-30 16:15:45 UTC; root
Author: Young Chan [aut, cre]
Maintainer: Young Chan <youngchanresearcher@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-10 11:00:08 UTC

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New package hdrm with initial version 1.0.0
Package: hdrm
Title: Inference for High-Dimensional Repeated Measures
Version: 1.0.0
Description: Provides one-group and multiple-group tests for expectation vectors in high-dimensional repeated-measures designs. Hypotheses can be specified through projection matrices or by selecting predefined effects. The multiple-group procedures cover heterogeneous and equal covariance matrices. Centered and standardized chi-square approximations are combined with exact or subsampling-based trace estimators. The functions return p-values, test statistics, estimated degrees of freedom, and convergence parameters. For further details, see Sattler and Hichert (2025) <doi:10.48550/arXiv.2512.17478>.
URL: https://github.com/Schnieboli/hdrm
BugReports: https://github.com/Schnieboli/hdrm/issues
License: GPL (>= 3)
Encoding: UTF-8
Suggests: knitr, testthat (>= 3.0.0)
Depends: R (>= 3.5.0)
LazyData: true
Imports: Rcpp, stats, withr
LinkingTo: Rcpp, RcppArmadillo
NeedsCompilation: yes
Packaged: 2026-09-30 09:58:39 UTC; nilsh
Author: Nils Hichert [aut, cre, cph], Paavo Sattler [aut] , Markus Pauly [ctb], Edgar Brunner [ctb], David Ellenberger [ctb]
Maintainer: Nils Hichert <nils.hichert@tu-dortmund.de>
Repository: CRAN
Date/Publication: 2026-10-10 10:10:12 UTC

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New package GeoIndexR with initial version 0.1.0
Package: GeoIndexR
Title: Computation of Spectral and Geospatial Indices from Multispectral Raster Data
Version: 0.1.0
Description: A unified, fast, and extensible framework for calculating spectral and geospatial indices from multispectral raster datasets (e.g., NDVI - Normalized Difference Vegetation Index, NDWI - Normalized Difference Water Index, MNDWI - Modified Normalized Difference Water Index, NDBI - Normalized Difference Built-up Index, SAVI - Soil Adjusted Vegetation Index, EVI - Enhanced Vegetation Index, GNDVI - Green Normalized Difference Vegetation Index, NDMI - Normalized Difference Moisture Index, BSI - Bare Soil Index). Designed around 'terra' 'SpatRaster' objects, it supports multi-band rasters, automatic band resolution, sensor presets (Sentinel-2, Landsat-8/9), customizable index parameters, vectorized computations, and comprehensive validation. Methods based on Rouse et al. (1973) , McFeeters (1996) <doi:10.1080/01431169608948714>, Xu (2006) <doi:10.1080/01431160600589179>, Zha et al. (2003) <doi:10.1016/S0034-4257(03)00087-7>, Huete (1988) <doi:10.1016/0034-4257(88)90106-X [...truncated...]
License: MIT + file LICENSE
URL: https://github.com/sowsalim01/GeoIndexR
BugReports: https://github.com/sowsalim01/GeoIndexR/issues
Depends: R (>= 3.5.0)
Imports: graphics, stats, terra (>= 1.7-0)
Suggests: covr, knitr, rmarkdown, testthat (>= 3.0.0)
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-09-29 15:41:45 UTC; hp
Author: Mamadou Sow [aut, cre]
Maintainer: Mamadou Sow <sowsalim01@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-10 10:40:07 UTC

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New package forensicR with initial version 0.0.6
Package: forensicR
Title: Crime Scene Documentation and Reconstruction Tools
Version: 0.0.6
Description: Supports crime scene investigators in documenting and reconstructing scenes. Scene points are mapped from field measurements (baseline, triangulation, polar). Shooting incidents are reconstructed from bullet defects with explicit uncertainty, following the methods described in Haag and Haag (2020, ISBN:9780128193976) and Hueske (2015, ISBN:9781498707664). Evidence and custody are logged in a structured form, and reproducible scene reports are rendered to Word, PDF or HTML.
Date: 2026-09-30
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
URL: https://github.com/kaquadros/forensicR
BugReports: https://github.com/kaquadros/forensicR/issues
Suggests: gridExtra, htmltools, htmlwidgets, knitr, png, rayrender, rgl, testthat, withr
Depends: R (>= 4.1.0)
Imports: cli, digest, ggplot2, rlang, rmarkdown, tibble
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-09-30 15:50:52 UTC; allan
Author: Karine Quadros [aut, cre], Allan Quadros [aut]
Maintainer: Karine Quadros <kquadros@dgso.org>
Repository: CRAN
Date/Publication: 2026-10-10 10:50:07 UTC

More information about forensicR at CRAN
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New package EZRShiny with initial version 0.1.0
Package: EZRShiny
Title: Build Consistent 'shiny' App Layouts with Less Code
Version: 0.1.0
Description: Short, consistent wrappers around 'shiny', 'bslib' and 'shinyjs' for building multi-page 'shiny' apps. One function call builds the page with a navigation bar, logo, title and dark mode switch. Tab functions nest pages up to three levels deep, with optional sidebars. Input functions create full-width inputs with optional information tooltips, and helpers switch buttons on and off and show or hide tabs from the server. Includes a starter app template and an example app that explores the Titanic passenger data.
License: GPL-3
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.1.0)
Imports: bsicons, bslib (>= 0.7.0), colourpicker, DT, ggiraph (>= 0.9.1), here, plotly (>= 4.12.0), shiny (>= 1.8.0), shinyjs, shinyWidgets, utils
Suggests: datasets, ggplot2, htmltools, knitr, rmarkdown, testthat (>= 3.0.0), withr
VignetteBuilder: knitr
URL: https://github.com/vari-bbc/EZRShiny
BugReports: https://github.com/vari-bbc/EZRShiny/issues
NeedsCompilation: no
Packaged: 2026-09-30 17:17:54 UTC; daniella.deweerd
Author: Daniella DeWeerd [aut, cre, cph], Van Andel Institute [cph, fnd]
Maintainer: Daniella DeWeerd <danielladeweerd@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-10 11:00:14 UTC

More information about EZRShiny at CRAN
Permanent link

New package DiagnostySize with initial version 0.1.0
Package: DiagnostySize
Title: App for Calculating the Sample Size in a Diagnostic Study
Version: 0.1.0
Description: We developed a 'shiny' app for the optimal sample size calculations for diagnostic accuracy studies proposed in Stark and Zapf (2020) <doi:10.1177/0962280220913588>, and Stark et al. (2022) <doi:10.1186/s12874-022-01564-2>, so people without programming skills can use this approach as well. Until now, this approach was just available via 'R' scripts. This app, 'DiagnostySize', lets users apply the optimal sample size calculation approach, ensuring that no endpoint (sensitivity or specificity) is overpowered. Within the app, users can run the optimal sample size and power calculations for different study designs through a user interface.
Imports: shiny, shinydashboard, shinyBS, markdown, DT, htmltools, stats
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
Author: Jana Wiesner [aut, cre] , Maria Stark [ctb]
Maintainer: Jana Wiesner <wiesner1@uni-bremen.de>
VignetteBuilder: knitr
Suggests: knitr, rmarkdown
URL: https://github.com/JanaW09/DiagnostySize_App
Packaged: 2026-09-29 14:23:52 UTC; janawiesner
Repository: CRAN
Date/Publication: 2026-10-10 10:10:30 UTC

More information about DiagnostySize at CRAN
Permanent link

New package ConvergeR with initial version 0.99.1
Package: ConvergeR
Title: Whitfield Convergence Score and Seurat Metadata Association
Version: 0.99.1
Description: Calculates the convergence score defined by Whitfield et al. 2026 <doi:10.1158/0008-5472.CAN-25-4403>. It allows visualization of this score alongside qualitative and quantitative Seurat object metadata via barplots and density curves, and runs appropriate statistical tests for associations.
Depends: R (>= 4.4.0)
License: GPL-3
Encoding: UTF-8
Imports: dplyr, ggplot2, magrittr, scales, Seurat, SeuratObject
Suggests: BiocStyle, knitr, msigdbr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://github.com/pauldeboissier1/ConvergeR
BugReports: https://github.com/pauldeboissier1/ConvergeR/issues
NeedsCompilation: no
Packaged: 2026-09-29 15:03:16 UTC; flavie
Author: Paul de Boissier [aut, cre]
Maintainer: Paul de Boissier <paul.deboissier04@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-10 10:40:14 UTC

More information about ConvergeR at CRAN
Permanent link

Package markovchain updated to version 1.2 with previous version 1.1.1 dated 2026-09-18

Title: Easy Handling Discrete Time Markov Chains
Description: Description: Functions and S4 classes to create, manage and analyse discrete time Markov chains. Includes probabilistic analysis of chain structure (state classification, hitting times, stationary distributions, spectral and mixing diagnostics), statistical inference (maximum likelihood and Bayesian estimation, tests of the Markov property, homogeneity, stationarity and order, simulation), higher-order and multivariate chains, state aggregation, and import/export to JSON, YAML and CSV. Basic support for continuous time Markov chains is also provided; some of these functions depend on the suggested 'ctmcd' package. See Spedicato (2017) <doi:10.32614/RJ-2017-036>.
Author: Giorgio Alfredo Spedicato [aut, cre] , Tae Seung Kang [aut], Sai Bhargav Yalamanchi [aut], Mildenberger Thoralf [ctb] , Deepak Yadav [aut], Ignacio Cordon [aut] , Vandit Jain [ctb], Toni Giorgino [ctb] , Richel J.C. Bilderbeek [ctb] , Daniel Ebbert [ [...truncated...]
Maintainer: Giorgio Alfredo Spedicato <spedicato_giorgio@yahoo.it>

Diff between markovchain versions 1.1.1 dated 2026-09-18 and 1.2 dated 2026-10-10

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More information about markovchain at CRAN
Permanent link

Package fqardl updated to version 1.1.0 with previous version 1.0.6 dated 2026-09-30

Title: Fourier ARDL Methods: Quantile, Nonlinear, Multi-Threshold & Unit Root Tests
Description: Implementation of ARDL methods for cointegration analysis with structural breaks and asymmetric effects. Includes: (1) Fourier Quantile ARDL (FQARDL), quantile regression with Fourier approximation following the quantile ARDL of Cho, Kim and Shin (2015) <doi:10.1016/j.jeconom.2015.05.003>; (2) Fourier Nonlinear ARDL (FNARDL), asymmetric cointegration with partial sum decomposition following Shin, Yu and Greenwood-Nimmo (2014) <doi:10.1007/978-1-4899-8008-3_9>; (3) a deprecated Multi-Threshold NARDL (MTNARDL) function; (4) Fourier unit root tests, ADF and KPSS tests with Fourier terms following Enders and Lee (2012) <doi:10.1016/j.econlet.2012.04.081> and Becker, Enders and Lee (2006) <doi:10.1111/j.1467-9892.2006.00478.x>. Features automatic lag and frequency selection, Wald bounds statistics with the tables of Pesaran, Shin and Smith (2001) <doi:10.1002/jae.616> (no verdict with Fourier terms, for which the tables are not valid), recursive bootstrap bound [...truncated...]
Author: Muhammad Alkhalaf [aut, cre, cph]
Maintainer: Muhammad Alkhalaf <muhammedalkhalaf@gmail.com>

Diff between fqardl versions 1.0.6 dated 2026-09-30 and 1.1.0 dated 2026-10-10

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Permanent link

Package fbardl updated to version 1.2.0 with previous version 1.1.0 dated 2026-09-30

Title: Fourier Bootstrap ARDL Cointegration Test
Description: Implements the Fourier Bootstrap Autoregressive Distributed Lag (FBARDL) bounds testing approach for cointegration analysis. Combines the Pesaran, Shin and Smith (2001) <doi:10.1002/jae.616> ARDL bounds testing framework with Fourier terms to capture smooth structural breaks, as in Yilanci, Bozoklu and Gorus (2020) <doi:10.1016/j.scs.2020.102035>, and recursive bootstrap critical values following McNown, Sam and Goh (2018) <doi:10.1080/00036846.2017.1366643> and Bertelli, Vacca and Zoia (2022) <doi:10.1016/j.econmod.2022.105987>, with the Fourier frequency and the lags selected again in every bootstrap replication (a package choice); finite-sample bounds test critical values from Kripfganz and Schneider (2020) <doi:10.1111/obes.12377> for models without Fourier terms. Features include lag selection via AIC/BIC, Fourier frequency selection by minimum SSR, long-run and short-run coefficient estimation and diagnostic tests.
Author: Muhammad Alkhalaf [aut, cre, cph]
Maintainer: Muhammad Alkhalaf <muhammedalkhalaf@gmail.com>

Diff between fbardl versions 1.1.0 dated 2026-09-30 and 1.2.0 dated 2026-10-10

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Package estimatr updated to version 2.0.1 with previous version 2.0.0 dated 2026-09-16

Title: Fast Estimators for Design-Based Inference
Description: Fast procedures for a small set of commonly-used, design-appropriate estimators with robust standard errors and confidence intervals. Includes estimators for linear regression, instrumental variables regression, difference-in-means, Horvitz-Thompson estimation, and regression improving precision of experimental estimates by interacting treatment with centered pre-treatment covariates introduced by Lin (2013) <doi:10.1214/12-AOAS583>. Fixed effects are absorbed by alternating projections rather than by dummy expansion, and Horvitz-Thompson variance is computed from the randomization declaration.
Author: Alexander Coppock [aut, cre], Graeme Blair [aut], Jasper Cooper [aut], Luke Sonnet [aut], Macartan Humphreys [ctb], Neal Fultz [ctb], Lily Medina [ctb], Russell Lenth [ctb], Molly Offer-Westort [ctb]
Maintainer: Alexander Coppock <acoppock@gmail.com>

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More information about estimatr at CRAN
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Package ardlverse updated to version 2.1.0 with previous version 2.0.3 dated 2026-09-30

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 steinsampling updated to version 0.1.3 with previous version 0.1.2 dated 2026-09-07

Title: Kernelized Stein Discrepancy for Goodness-of-Fit Tests and Stein Sampling
Description: Provides Stein-discrepancy goodness-of-fit tests and Stein-method-based sampling tools. The tests include kernel Stein discrepancy U- and V-statistics following Liu et al. (2016) <doi:10.48550/arXiv.1602.03253> and Chwialkowski et al. (2016) <doi:10.48550/arXiv.1602.02964>, plus the finite set Stein discrepancy test of Jitkrittum et al. (2017) <doi:10.48550/arXiv.1705.07673>. The sampling tools include Stein thinning, Stein Points, Stein Point Markov chain Monte Carlo, and Stein variational gradient descent following Riabiz et al. (2022) <doi:10.48550/arXiv.2005.03952>, Chen et al. (2018) <doi:10.48550/arXiv.1803.10161>, Chen et al. (2019) <doi:10.48550/arXiv.1905.03673>, and Liu and Wang (2016) <doi:10.48550/arXiv.1608.04471>. Gaussian mixture utilities are included for constructing example targets, simulation, density evaluation, and score callbacks.
Author: Junhao Gao [aut, cre], Ery Arias-Castro [aut]
Maintainer: Junhao Gao <jug049@ucsd.edu>

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Package mathr updated to version 0.1.5 with previous version 0.1.3 dated 2026-09-10

Title: Scientific Computation Using R
Description: A collection of undergraduate level mathematical routines for quantitative work, covering calculus, distribution functions, random variate generation, linear algebra, differential equations and optimization, sized for one semester. The package is best studied with its source open: every routine is short and written to be read.
Author: Kyun-Seop Bae [aut, cre]
Maintainer: Kyun-Seop Bae <k@acr.kr>

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Package lifecontingencies updated to version 1.6.3 with previous version 1.6.0 dated 2026-08-23

Title: Financial and Actuarial Mathematics for Life Contingencies
Description: Classes and methods that allow the user to manage life table, actuarial tables (also multiple decrements tables). Moreover, functions to easily perform demographic, financial and actuarial mathematics on life contingencies insurances calculations are contained therein. See Spedicato (2013) <doi:10.18637/jss.v055.i10>.
Author: Giorgio Alfredo Spedicato [aut, cre] , Christophe Dutang [ctb] , Reinhold Kainhofer [ctb] , Kevin J Owens [ctb], Ernesto Schirmacher [ctb], Gian Paolo Clemente [ctb] , Ivan Williams [ctb]
Maintainer: Giorgio Alfredo Spedicato <spedicato_giorgio@yahoo.it>

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Package Romney updated to version 0.1.1 with previous version 0.1.0 dated 2026-05-20

Title: Classical Cultural Consensus Analysis
Description: Implements classical cultural consensus analysis with formal, informal, and covariance agreement models, 'UCINET'-aligned minimum-residual factor extraction, competence estimation, and answer-key estimation. Based on the classical framework of Romney, Weller, and Batchelder (1986) <doi:10.1525/aa.1986.88.2.02a00020>, Romney, Batchelder, and Weller (1987) <doi:10.1177/000276487031002003>, and Weller (2007) <doi:10.1177/1525822X07303502>.
Author: Werner Hertzog [aut, cre]
Maintainer: Werner Hertzog <werner.hertzog@isek.uzh.ch>

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Package pc updated to version 0.3 with previous version 0.2 dated 2026-04-10

Title: Pattern Causality Analysis
Description: Infer causation from observational data through pattern causality analysis (PC), with original algorithm for time series data from Stavroglou et al. (2020) <doi:10.1073/pnas.1918269117>, as well as methodological extensions for spatial cross-sectional data introduced by Zhang & Wang (2025) <doi:10.1080/13658816.2025.2581207>, together with a systematic description proposed in Lyu et al. (2026) <doi:10.1016/j.compenvurbsys.2026.102435>.
Author: Wenbo Lyu [aut, cre, cph]
Maintainer: Wenbo Lyu <lyu.geosocial@gmail.com>

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Package forestsearch updated to version 0.4.0 with previous version 0.1.0 dated 2026-03-23

Title: Exploratory Subgroup Identification in Survival and GLM Outcomes
Description: Implements statistical methods for exploratory subgroup identification in clinical trials. Provides tools for identifying patient subgroups with differential treatment effects using machine learning approaches including Generalized Random Forests (GRF), LASSO regularization, and exhaustive combinatorial search algorithms. Supports survival endpoints (Cox proportional hazards), binary outcomes (log odds ratio, log relative risk, risk difference), continuous outcomes (mean difference), and count / rate outcomes (log incidence rate ratio via Poisson, quasi-Poisson, or negative-binomial GLMs with optional person-time offset). Features bootstrap bias correction using infinitesimal jackknife methods to address selection bias in post-hoc analyses. Designed for clinical researchers conducting exploratory subgroup analyses in randomized controlled trials, particularly for multi-regional clinical trials (MRCT) requiring regional consistency evaluation. Methods are described in Leon et al. (2024) [...truncated...]
Author: Larry Leon [aut, cre]
Maintainer: Larry Leon <larry.leon.05@post.harvard.edu>

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