Wed, 29 Jul 2026

Package vaccineff updated to version 1.0.3 with previous version 1.0.1 dated 2025-10-02

Title: Estimate Vaccine Effectiveness Based on Different Study Designs
Description: Provides tools for estimating vaccine effectiveness and related metrics. The 'vaccineff_data' class manages key features for preparing, visualizing, and organizing cohort data, as well as estimating vaccine effectiveness. The results and model performance are assessed using the 'vaccineff' class.
Author: David Santiago Quevedo [aut] , Zulma M. Cucunuba [aut] , International Development Research Center [fnd] , Geraldine Gomez Millan [ctb] , Pratik Gupte [ctb] , Erika J Cantor [ctb] , Santiago Loaiza [ctb] , Jaime Pavlich-Mariscal [ctb, cre] , Hugo Gr [...truncated...]
Maintainer: Jaime Pavlich-Mariscal <jpavlich@javeriana.edu.co>

Diff between vaccineff versions 1.0.1 dated 2025-10-02 and 1.0.3 dated 2026-07-29

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Package stLMM updated to version 0.0.3 with previous version 0.0.2 dated 2026-07-28

Title: Bayesian Spatial and Space-Time Linear Mixed Models
Description: Fits Bayesian linear mixed models for spatial and space-time data with fixed effects, independent and identically distributed (iid) grouped random effects, and structured latent processes. The formula interface supports first-order autoregressive (AR(1)) effects, dense Gaussian processes, nearest-neighbor Gaussian processes, proper and Leroux conditional autoregressive (CAR) effects, ordered directed acyclic graph autoregressive (DAGAR) effects, separable CAR-time and DAGAR-time effects, and spatially varying coefficients. The sampler uses sparse precision matrix calculations when available and includes post-fitting tools for latent process recovery, fitted values, prediction, pointwise log likelihoods, and posterior sample extraction. Method details include Datta et al. (2016) <doi:10.1080/01621459.2015.1044091>, Finley et al. (2019) <doi:10.1080/10618600.2018.1537924>, Datta et al. (2019) <doi:10.1214/19-BA1177>, and May and Finley (2025) <doi:10.1016/j.spasta.20 [...truncated...]
Author: Andrew O. Finley [aut, cre], Sudipto Banerjee [ctb], Abhirup Datta [ctb], Paul B. May [ctb]
Maintainer: Andrew O. Finley <finleya@msu.edu>

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Package sgmean updated to version 0.1.1 with previous version 0.1.0 dated 2026-06-03

Title: Proportional Trimmed Mean
Description: Computes a proportional trimmed mean that resolves the integer truncation problem of base R's mean(..., trim). When k = trim * n is non-integer, a fractional discount (1 - delta) is applied to boundary observations, where delta = k - floor(k). The resulting estimator is continuous in alpha for any fixed n, syntactically identical to mean(..., trim), and compatible with the 'Statgraphics' implementation. See Gaviria Chaverra (2026) <doi:10.32614/CRAN.package.sgmean>.
Author: Juan C. Gaviria-Chaverra [aut, cre]
Maintainer: Juan C. Gaviria-Chaverra <jcarlos.gaviria@udea.edu.co>

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Package jsslintr updated to version 1.1.0-2 with previous version 1.1.0-1 dated 2026-07-28

Title: JSS 'LaTeX'/'BibTeX' Style Checker
Description: Lints 'LaTeX'/'BibTeX' manuscripts against the Journal of Statistical Software (JSS) style guide. Wraps the same 'Rust' rule engine used by the standalone 'jsslint' binary, the browser/'WASM' build, and the 'Python' binding, exposed to R via 'extendr'.
Author: Manuel Koller [aut, cre] , The authors of the vendored 'Rust' crates [cph]
Maintainer: Manuel Koller <kollerma@proton.me>

Diff between jsslintr versions 1.1.0-1 dated 2026-07-28 and 1.1.0-2 dated 2026-07-29

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Package ipf readmission to version 0.0.3 with previous version 0.0.1 dated 2026-07-09

Title: Iterative Proportional Fitting
Description: Fast raking for survey weighting. The computational core is written in Rust for speed. Supports multiple raking variables, automatic variable selection, weight bounding, and comprehensive diagnostics.
Author: Christopher T. Kenny [aut, cre]
Maintainer: Christopher T. Kenny <ctkenny@proton.me>

This is a re-admission after prior archival of version 0.0.1 dated 2026-07-09

Diff between ipf versions 0.0.1 dated 2026-07-09 and 0.0.3 dated 2026-07-29

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Package cayleyR updated to version 0.2.6 with previous version 0.2.1 dated 2026-03-01

Title: Cayley Graph Analysis for Permutation Puzzles
Description: Implements algorithms for analyzing Cayley graphs of permutation groups for the TopSpin puzzle. Provides methods for cycle detection, state space exploration and finding optimal operation sequences in permutation groups generated by shift and reverse operations. Also provides rule-defined landmark states for probing graphs too large to enumerate, and convex and non-convex hulls for measuring the solid such states span. The method Iterative Cycle Intersection (ICI) is described in Yuri Baramykov (2026) <doi:10.48550/arXiv.2607.13219>.
Author: Yuri Baramykov [aut, cre]
Maintainer: Yuri Baramykov <lbsbmsu@mail.ru>

Diff between cayleyR versions 0.2.1 dated 2026-03-01 and 0.2.6 dated 2026-07-29

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Package brpop readmission to version 0.7.0 with previous version 0.6.3 dated 2025-09-03

Title: Brazilian Population Estimates
Description: Provides Brazilian municipality population estimates from official and research sources, with functions to aggregate the data by state, health region, sex, and age group.
Author: Raphael Saldanha [aut, cre]
Maintainer: Raphael Saldanha <raphael.saldanha@fiocruz.br>

This is a re-admission after prior archival of version 0.6.3 dated 2025-09-03

Diff between brpop versions 0.6.3 dated 2025-09-03 and 0.7.0 dated 2026-07-29

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Package RaCE.NMA updated to version 1.1.0 with previous version 1.0.3 dated 2026-06-02

Title: Rank-Clustered Estimation for Network Meta-Analysis
Description: An implementation of the RaCE-NMA (Rank-Clustered Estimation for Network Meta-Analysis) model for post-hoc clustering of treatments or interventions by rank in network meta-analysis data. Functions for model estimation, assessment, and displaying results are provided. For more details, see Pearce and Zhou (2025) <doi:10.1017/rsm.2025.10049>.
Author: Michael Pearce [aut, cre, cph] , Shouhao Zhou [aut]
Maintainer: Michael Pearce <michaelpearce@reed.edu>

Diff between RaCE.NMA versions 1.0.3 dated 2026-06-02 and 1.1.0 dated 2026-07-29

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Package jagshelper updated to version 0.4.3 with previous version 0.4.2 dated 2026-06-07

Title: Extracting and Visualizing Output from 'jagsUI'
Description: Tools are provided to streamline Bayesian analyses in 'JAGS' using the 'jagsUI' package. Included are functions for extracting output in simpler format, functions for streamlining assessment of convergence, and functions for producing summary plots of output. Also included is a function that provides a simple template for running 'JAGS' from 'R'. Referenced materials can be found at <DOI:10.1214/ss/1177011136>.
Author: Matt Tyers [aut, cre]
Maintainer: Matt Tyers <matttyersstat@gmail.com>

Diff between jagshelper versions 0.4.2 dated 2026-06-07 and 0.4.3 dated 2026-07-29

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Package doctest updated to version 0.4.1 with previous version 0.4.0 dated 2026-02-19

Title: Generate Tests from Examples Using 'roxygen' and 'testthat'
Description: Creates 'testthat' tests from 'roxygen' examples using simple tags.
Author: David Hugh-Jones [aut, cre]
Maintainer: David Hugh-Jones <davidhughjones@gmail.com>

Diff between doctest versions 0.4.0 dated 2026-02-19 and 0.4.1 dated 2026-07-29

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More information about doctest at CRAN
Permanent link

Package adbcsqlite updated to version 0.24.0-1 with previous version 0.23.0-1 dated 2026-06-03

Title: 'Arrow' Database Connectivity ('ADBC') 'SQLite' Driver
Description: Provides a developer-facing interface to the 'Arrow' Database Connectivity ('ADBC') 'SQLite' driver for the purposes of building high-level database interfaces for users. 'ADBC' <https://arrow.apache.org/adbc/> is an API standard for database access libraries that uses 'Arrow' for result sets and query parameters.
Author: Dewey Dunnington [aut, cre] , Apache Arrow [aut, cph], Apache Software Foundation [cph]
Maintainer: Dewey Dunnington <dewey@dunnington.ca>

Diff between adbcsqlite versions 0.23.0-1 dated 2026-06-03 and 0.24.0-1 dated 2026-07-29

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Permanent link

Package adbcpostgresql updated to version 0.24.0-1 with previous version 0.23.0-1 dated 2026-06-03

Title: 'Arrow' Database Connectivity ('ADBC') 'PostgreSQL' Driver
Description: Provides a developer-facing interface to the 'Arrow' Database Connectivity ('ADBC') 'PostgreSQL' driver for the purposes of building high-level database interfaces for users. 'ADBC' <https://arrow.apache.org/adbc/> is an API standard for database access libraries that uses 'Arrow' for result sets and query parameters.
Author: Dewey Dunnington [aut, cre] , Apache Arrow [aut, cph], Apache Software Foundation [cph]
Maintainer: Dewey Dunnington <dewey@dunnington.ca>

Diff between adbcpostgresql versions 0.23.0-1 dated 2026-06-03 and 0.24.0-1 dated 2026-07-29

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Permanent link

Package shinyrecap readmission to version 0.2.0 with previous version 0.1.0 dated 2019-01-19

Title: 'Shiny' User Interface for Multiple Source Capture Recapture Models
Description: Implements user interfaces for log-linear models, Bayesian model averaging and Bayesian Dirichlet process mixture models. See McIntyre, Fellows, Gutreuter and Hladik (2022) <doi:10.2196/32645>.
Author: Ian E. Fellows [aut, cre]
Maintainer: Ian E. Fellows <ian@fellstat.com>

This is a re-admission after prior archival of version 0.1.0 dated 2019-01-19

Diff between shinyrecap versions 0.1.0 dated 2019-01-19 and 0.2.0 dated 2026-07-29

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More information about shinyrecap at CRAN
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Package QR.break updated to version 1.0.3 with previous version 1.0.2 dated 2025-04-23

Title: Structural Breaks in Quantile Regression
Description: Methods for detecting structural breaks, determining the number of breaks, and estimating break locations in linear quantile regression, using one or multiple quantiles, based on Qu (2008) and Oka and Qu (2011). Applicable to both time series and repeated cross-sectional data. The main function is rq.break(). References for detailed theoretical and empirical explanations: (1) Qu, Z. (2008). "Testing for Structural Change in Regression Quantiles." Journal of Econometrics, 146(1), 170-184 <doi:10.1016/j.jeconom.2008.08.006> (2) Oka, T., and Qu, Z. (2011). "Estimating Structural Changes in Regression Quantiles." Journal of Econometrics, 162(2), 248-267 <doi:10.1016/j.jeconom.2011.01.005>.
Author: Zhongjun Qu [aut, cre], Tatsushi Oka [aut], Samuel Messer [ctb]
Maintainer: Zhongjun Qu <qu@bu.edu>

Diff between QR.break versions 1.0.2 dated 2025-04-23 and 1.0.3 dated 2026-07-29

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More information about QR.break at CRAN
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New package MosaiClusteR with initial version 0.1.0
Package: MosaiClusteR
Title: An Umbrella Framework for Multi-Source and Multi-Omics Clustering
Version: 0.1.0
Description: An umbrella framework ("MoSaIC" = Multi-Omics Source-Agnostic Integration Clustering in R) that unifies a large collection of multi-source / multi-omics clustering methodologies behind a single, consistent list-of-matrices interface. It spans five integration paradigms - direct, similarity-based, graph-based, voting-based consensus, and hierarchy-based - and bundles a complete downstream workflow for method comparison and evaluation. The package features the multi-source the ability to compare many algorithms on the same footing, a data-nugget based feature-weighting scheme as a robust, big-data-friendly alternative to variance weighting, and a downstream suite for cluster characterisation, visualisation and biological interpretation.
License: GPL-3
Encoding: UTF-8
LazyData: false
Depends: R (>= 4.0)
Imports: stats, utils, methods, graphics, grDevices, cluster, fastcluster, matrixStats, FD, ade4, e1071, gtools, data.table, Rcpp, Rdpack
LinkingTo: Rcpp
Suggests: SNFtool, datanugget, WCluster, LUCIDus, igraph, lsa, analogue, FactoMineR, pls, circlize, gplots, dendextend, plotrix, limma, MLP, biomaRt, org.Hs.eg.db, Biobase, a4Core, a4Base, plyr, genefilter, ggplot2, gridExtra, uwot, Rtsne, MOFAdata, testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/lucp12891/MosaiClusteR
BugReports: https://github.com/lucp12891/MosaiClusteR/issues
NeedsCompilation: yes
Packaged: 2026-07-20 16:19:03 UTC; hp
Author: Bernard Isekah Osang'ir [aut, cre] , Marijke Van Moerbeke [aut], Ziv Shkedy [ctb], Surya Gupta [ctb], Juergen Claesen [ctb]
Maintainer: Bernard Isekah Osang'ir <bernard.osangir@sckcen.be>
Repository: CRAN
Date/Publication: 2026-07-29 18:30:07 UTC

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New package Familia with initial version 1.0.3
Package: Familia
Title: 'shiny' Application for Population Structure and Ancestry Assessments
Version: 1.0.3
Description: Provides a 'shiny' web application developed by the Breeding Insight team to support pedigree validation and ancestry assessment of plant and animal populations. The app integrates Mendelian error analysis, parentage assignment and genetic composition/ancestry methods to help researchers evaluate genomic relationships through an accessible, web-based interface without requiring command-line tools. Pedigree validation, Mendelian error analysis and parentage assignment build on the 'BIGpopA' package (<https://CRAN.R-project.org/package=BIGpopA>). Ancestry estimation uses the sparse non-negative matrix factorization method of Frichot et al. (2014) <doi:10.1534/genetics.113.160572> as implemented in the 'LEA' package by Frichot and Francois (2015) <doi:10.1111/2041-210X.12382>. Line and breed composition are estimated using the breed composition regression method of Funkhouser et al. (2017) <doi:10.2527/tas2016.0003>, extended to polyploid species by Sandercock et a [...truncated...]
License: Apache License (>= 2)
Encoding: UTF-8
Depends: R (>= 4.4.0)
Imports: BIGpopA, bs4Dash, config, curl, data.table, dplyr, DT, ggplot2, golem, httr, openxlsx, RColorBrewer, scales, shiny, shinydisconnect, shinyjs, shinyWidgets, tibble, tidyr, vcfR (>= 1.15.0), withr, zip
Suggests: LEA, spelling, testthat
Language: en-US
NeedsCompilation: no
Packaged: 2026-07-20 18:57:02 UTC; josue.chinchilla
Author: Josue Chinchilla-Vargas [aut, cre], Alexander M. Sandercock [aut], Breeding Insight Team [aut]
Maintainer: Josue Chinchilla-Vargas <josue.chinchilla@ufl.edu>
Repository: CRAN
Date/Publication: 2026-07-29 18:30:17 UTC

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New package combreg with initial version 0.2.0
Package: combreg
Title: Bayesian Regression for Combinatorial Response Data
Version: 0.2.0
Description: Bayesian regression whose response data are integer-valued vectors subject to combinatorial constraints in the form of Ay<=b. Implements the Metropolis-Hastings-within-Gibbs sampler of Zheng et al. (2026+) <doi:10.48550/arXiv.2504.11630>, an unconstrained probit baseline for comparison, benchmarking helpers, MCMC and regression diagnostics (effective sample sizes, split-Rhat, structured reports), plotting methods (trace, autocorrelation, violin, effective-sample-size, sampling-efficiency, residual heat map), and utilities for constraint validation (total unimodularity, feasibility) and data simulation.
Depends: R (>= 4.0)
License: MIT + file LICENSE
Encoding: UTF-8
Imports: Rcpp, coda, grDevices, graphics, stats, truncnorm, utils
LinkingTo: Rcpp, RcppArmadillo
Suggests: lpSolve, posterior, testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/YuZh98/combreg
BugReports: https://github.com/YuZh98/combreg/issues
NeedsCompilation: yes
Packaged: 2026-07-20 20:36:13 UTC; zhengyu
Author: Hugh Zheng [aut, cre, cph]
Maintainer: Hugh Zheng <hugh.stats@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-29 18:40:07 UTC

More information about combreg at CRAN
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New package circda with initial version 1.0
Package: circda
Title: Circular Data Analysis
Version: 1.0
Date: 2026-07-20
Author: Michail Tsagris [aut, cre]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>
Depends: R (>= 4.0)
Imports: circular, Directional, graphics, rangen, Rfast, stats
Suggests: Rfast2
Description: Functions to perform maximum likelihood estimation, model-based clustering, discriminant and regression analysis with a circular response variable. <doi:10.1080/01621459.2019.1585249>.
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2026-07-20 19:37:35 UTC; mtsag
Repository: CRAN
Date/Publication: 2026-07-29 18:30:02 UTC

More information about circda at CRAN
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Package proftools updated to version 0.99-4 with previous version 0.99-3 dated 2020-07-08

Title: Profile Output Processing Tools for R
Description: Tools for examining Rprof profile output.
Author: Luke Tierney [aut, cre], Riad Jarjour [aut]
Maintainer: Luke Tierney <luke-tierney@uiowa.edu>

Diff between proftools versions 0.99-3 dated 2020-07-08 and 0.99-4 dated 2026-07-29

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More information about proftools at CRAN
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Package ncmeta updated to version 0.5.0 with previous version 0.4.0 dated 2024-03-25

Title: Straightforward 'NetCDF' Metadata
Description: Extract metadata from 'NetCDF' data sources, these can be files, file handles or servers. This package leverages and extends the lower level functions of the 'RNetCDF' package providing a consistent set of functions that all return data frames. We introduce named concepts of 'grid', 'axis' and 'source' which are all meaningful entities without formal definition in the 'NetCDF' library <https://www.unidata.ucar.edu/software/netcdf>. 'RNetCDF' matches the library itself with only the named concepts of 'variables', 'dimensions' and 'attributes'.
Author: Michael Sumner [aut, cre, cph], Tomas Remenyi [ctb], Ben Raymond [ctb], David Blodgett [ctb], Milton Woods [ctb], Patrick Van Laake [ctb]
Maintainer: Michael Sumner <mdsumner@gmail.com>

Diff between ncmeta versions 0.4.0 dated 2024-03-25 and 0.5.0 dated 2026-07-29

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 R/nc-prj.R                            |   18 +
 R/nc_axes.R                           |    4 
 R/nc_axis.R                           |    4 
 R/nc_coord.R                          |  416 +++++++++++++++++-----------------
 R/nc_dim.R                            |    9 
 R/nc_dimension.R                      |    5 
 R/nc_extended.R                       |    7 
 R/nc_grid.R                           |   19 +
 R/nc_inq_file.R                       |   11 
 R/nc_meta.R                           |   14 -
 R/nc_sources.R                        |    4 
 R/nc_var.R                            |    5 
 R/nc_variable.R                       |   12 
 README.md                             |    8 
 inst/extdata/dims_only.nc             |only
 man/nc_axes.Rd                        |    7 
 man/nc_axis.Rd                        |    7 
 man/nc_coord_var.Rd                   |   98 ++++----
 man/nc_dim.Rd                         |   13 -
 man/nc_dims.Rd                        |    8 
 man/nc_extended.Rd                    |    5 
 man/nc_gm_to_prj.Rd                   |   92 +++----
 man/nc_grids.Rd                       |    9 
 man/nc_inq.Rd                         |   13 -
 man/nc_meta.Rd                        |    9 
 man/nc_prj_to_gridmapping.Rd          |   72 ++---
 man/nc_sources.Rd                     |    7 
 man/nc_var.Rd                         |    4 
 man/nc_vars.Rd                        |    5 
 man/ncmeta-package.Rd                 |   10 
 tests/testthat/test-gridmapping-prj.R |   19 +
 tests/testthat/test-no-vars.R         |only
 36 files changed, 624 insertions(+), 429 deletions(-)

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Permanent link

New package triageR with initial version 0.1.0
Package: triageR
Title: Automated Machine Learning and AI Agent Tools for Clinical Prediction Modelling
Version: 0.1.0
Description: Provides a streamlined workflow for building, validating, and reporting clinical prediction models. Combines standard machine learning tools with an optional AI agent that recommends appropriate statistical methods, runs sensitivity analyses, and flags common pitfalls. Includes automated generation of reports aligned with TRIPOD+AI reporting guidance (Collins et al. (2024 <doi:10.1136/bmj-2023-078378>)) for reproducible, guideline-aligned research.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/DevWebWacky/triageR
BugReports: https://github.com/DevWebWacky/triageR/issues
Suggests: knitr, missForest, mlbench, ranger, rmarkdown, spelling, testthat (>= 3.0.0), xgboost
Imports: DALEX, dplyr, ellmer, ggplot2, mice, naniar, parsnip, pROC, quarto, recipes, tibble, tidyr, workflows, yardstick
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-07-20 00:54:44 UTC; Wacky
Author: Uwakmfon Paul [aut, cre, cph]
Maintainer: Uwakmfon Paul <uwakmfon31@gmail.com>
Depends: R (>= 4.1.0)
Repository: CRAN
Date/Publication: 2026-07-29 16:20:01 UTC

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Package teal.slice updated to version 0.8.2 with previous version 0.8.1 dated 2026-07-02

Title: Filter Module for 'teal' Applications
Description: Data filtering module for 'teal' applications. Allows for interactive filtering of data stored in 'data.frame' and 'MultiAssayExperiment' objects. Also displays filtered and unfiltered observation counts.
Author: Dawid Kaledkowski [aut] , Pawel Rucki [aut], Aleksander Chlebowski [aut] , Andre Verissimo [aut] , Lluis Revilla Sancho [aut] , Dony Unardi [rev, cre], Kartikeya Kirar [aut], Marcin Kosinski [aut], Chendi Liao [aut], Andrew Bates [aut], Mahmoud Halla [...truncated...]
Maintainer: Dony Unardi <unardid@gene.com>

Diff between teal.slice versions 0.8.1 dated 2026-07-02 and 0.8.2 dated 2026-07-29

 DESCRIPTION         |    8 ++++----
 MD5                 |   10 +++++-----
 NEWS.md             |    4 ++++
 R/FilterState.R     |    3 +--
 R/FilterStates.R    |    2 +-
 R/FilteredDataset.R |    2 +-
 6 files changed, 16 insertions(+), 13 deletions(-)

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Package teal updated to version 1.2.1 with previous version 1.2.0 dated 2026-06-30

Title: Exploratory Web Apps for Analyzing Clinical Trials Data
Description: A 'shiny' based interactive exploration framework for analyzing clinical trials data. 'teal' currently provides a dynamic filtering facility and different data viewers. 'teal' 'shiny' applications are built using standard 'shiny' modules.
Author: Dony Unardi [aut, cre], Dawid Kaledkowski [aut] , Pawel Rucki [aut], Aleksander Chlebowski [aut] , Andre Verissimo [aut] , Kartikeya Kirar [aut], Vedha Viyash [aut], Marcin Kosinski [aut], Adrian Waddell [aut], Nina Qi [rev], Nikolas Burkoff [aut], M [...truncated...]
Maintainer: Dony Unardi <unardid@gene.com>

Diff between teal versions 1.2.0 dated 2026-06-30 and 1.2.1 dated 2026-07-29

 teal-1.2.0/teal/vignettes/blueprint_qmd                           |only
 teal-1.2.1/teal/DESCRIPTION                                       |    8 ++--
 teal-1.2.1/teal/MD5                                               |   18 +++++-----
 teal-1.2.1/teal/NEWS.md                                           |    7 +++
 teal-1.2.1/teal/R/module_teal.R                                   |    6 +++
 teal-1.2.1/teal/R/utils.R                                         |   10 +----
 teal-1.2.1/teal/R/zzz.R                                           |    2 -
 teal-1.2.1/teal/build/vignette.rds                                |binary
 teal-1.2.1/teal/inst/WORDLIST                                     |    2 -
 teal-1.2.1/teal/inst/doc/including-data-in-teal-applications.html |    6 +--
 teal-1.2.1/teal/vignettes/teal-as-a-module.html                   |only
 11 files changed, 34 insertions(+), 25 deletions(-)

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New package subtitles with initial version 0.1.1
Package: subtitles
Version: 0.1.1
Title: Generate and Render Timed Subtitles Using 'FFmpeg'
Description: Tools for generating timed subtitle files and rendering them into video with the 'FFmpeg' command-line interface (<https://ffmpeg.org/>). Converts structured transcription output (such as that produced by 'Whisper' speech-to-text models) into SubRip ('SRT') and Advanced SubStation Alpha ('ASS') subtitle files, with word-level caption timing, styling presets, and line-break control, and burns subtitles into video files using the 'FFmpeg' subtitles filter.
License: MIT + file LICENSE
URL: https://github.com/cornball-ai/subtitles
BugReports: https://github.com/cornball-ai/subtitles/issues
Encoding: UTF-8
SystemRequirements: ffmpeg (>= 5.0), libass
Imports: jsonlite, processx
Suggests: tinytest
NeedsCompilation: no
Packaged: 2026-07-20 02:28:09 UTC; troy
Author: Troy Hernandez [aut, cre] , cornball.ai [cph]
Maintainer: Troy Hernandez <troy@cornball.ai>
Repository: CRAN
Date/Publication: 2026-07-29 16:20:16 UTC

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New package STARRS with initial version 1.0
Package: STARRS
Title: Stochastic Robust Multivariate Statistics
Version: 1.0
Date: 2026-06-26
Description: Algorithms for robust multivariate statistics (STochAstic Robust multivaRiate Statistics) including geometric median and geometric median covariance computation, k-medians clustering and robust median Principal Compenents Analysis (PCA), robust estimation of parameters for Gaussian, Student, or Laplace mixture models. 'STARRS' provides an independent, clean, consolidated and cohesive framework, while drawing inspiration from the approaches implemented in packages 'Gmedian', 'Kmedians', 'RGMM', 'RobRegression'. Methods used in the package refer to H. Robbins, S. Monro (1951) <doi:10.1214/aoms/1177729586>; D. Kraus, V. M. Panaretos (2012) <doi:10.1093/biomet/ass037>; H. Cardot, A. Godichon-Baggioni (2015) <doi:10.48550/arXiv.1504.02852>; A. Godichon-Baggioni, S. Robin (2024) <doi:10.1007/s11222-023-10362-9>.
License: GPL (>= 2)
Imports: Rcpp (>= 1.0.13), foreach, mvtnorm, mclust, LaplacesDemon, genieclust, robustbase, RSpectra, ggplot2, reshape2, DescTools, checkmate, doFuture, future, parallel, capushe, bookdown, knitr
LinkingTo: Rcpp, RcppArmadillo
LazyData: true
VignetteBuilder: knitr
Encoding: UTF-8
Suggests: rmarkdown
NeedsCompilation: yes
Packaged: 2026-07-20 12:41:39 UTC; giorgi
Author: Antoine Godichon-Baggioni [aut, cph], Stephane Robin [aut], Daphne Giorgi [aut, cre]
Maintainer: Daphne Giorgi <daphne.giorgi@sorbonne-universite.fr>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2026-07-29 17:00:19 UTC

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New package spliv with initial version 0.1.1
Package: spliv
Title: Patterned Sensitivity Analysis for IV with Fixed Effects
Version: 0.1.1
Description: Patterned sensitivity analysis for instrumental-variables designs with fixed effects or other residualization steps. The package provides uniform Conley-style sensitivity as a baseline, researcher-specified direct-effect patterns, sensitivity paths and tipping points, and optional confirmatory Beyond Plausibly Exogenous diagnostics.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.1)
Imports: stats, graphics, fixest
Suggests: lfe, testthat (>= 3.0.0), ggplot2, knitr, rmarkdown
VignetteBuilder: knitr
URL: https://koren6684.github.io/spliv/, https://github.com/koren6684/spliv
BugReports: https://github.com/koren6684/spliv/issues
NeedsCompilation: no
Packaged: 2026-07-19 21:19:42 UTC; orekoren
Author: Ore Koren [aut, cre]
Maintainer: Ore Koren <okoren@iu.edu>
Repository: CRAN
Date/Publication: 2026-07-29 16:50:02 UTC

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New package ShiftHappens with initial version 1.0.1
Package: ShiftHappens
Title: Detecting, Visualizing and Estimating Shifts
Version: 1.0.1
Description: Detecting, visualizing and estimating shifts, with a specific focus on stage-discharge rating shifts. The main methods are described in Darienzo et al. (2021) <doi:10.1029/2020WR028607> and Mansanarez et al. (2019) <doi:10.1029/2018WR023389>. See also 'BayDERS' <https://github.com/MatteoDarienzo/BayDERS> for similar tools, and 'RatingShiftHappens' <https://github.com/Felipemendezrios/RatingShiftHappens> for an older version of this package.
License: GPL-3
Encoding: UTF-8
LazyData: true
URL: https://github.com/benRenard/ShiftHappens
Imports: lubridate, RBaM, ggplot2, scales, dplyr, tidyr, patchwork, RColorBrewer
Suggests: knitr, rmarkdown
Depends: R (>= 3.5.0)
NeedsCompilation: no
Packaged: 2026-07-20 05:41:28 UTC; brenard
Author: Felipe Mendez [aut] , Benjamin Renard [aut, cre, cph] , Matteo Darienzo [aut], INRAE [fnd], Ministere de la Transition Ecologique - SCHAPI [fnd]
Maintainer: Benjamin Renard <benjamin.renard@inrae.fr>
Repository: CRAN
Date/Publication: 2026-07-29 16:40:45 UTC

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Package nocturn updated to version 1.2.0 with previous version 1.1.3 dated 2026-06-22

Title: Sleep Data Filtering and Visualisation
Description: An online app and command-line utility to import, filter and visualise sleep data. Can be used with sleep data collected from any type of device (e.g. radar, sleep diary,...) as long as the data contains sleep onset and wake-up times for each sleep session.
Author: Daniel Thedie [aut, cre, cph]
Maintainer: Daniel Thedie <daniel.thedie@ed.ac.uk>

Diff between nocturn versions 1.1.3 dated 2026-06-22 and 1.2.0 dated 2026-07-29

 nocturn-1.1.3/nocturn/tests/testthat/test-get_column_names.R             |only
 nocturn-1.2.0/nocturn/DESCRIPTION                                        |   14 
 nocturn-1.2.0/nocturn/MD5                                                |  225 ++++---
 nocturn-1.2.0/nocturn/NAMESPACE                                          |    4 
 nocturn-1.2.0/nocturn/NEWS.md                                            |  290 +++++-----
 nocturn-1.2.0/nocturn/R/bedtimes_waketimes.R                             |   17 
 nocturn-1.2.0/nocturn/R/bland_altman.R                                   |only
 nocturn-1.2.0/nocturn/R/colnames_accessors.R                             |   22 
 nocturn-1.2.0/nocturn/R/colnames_key.R                                   |   40 +
 nocturn-1.2.0/nocturn/R/compliance.R                                     |   47 +
 nocturn-1.2.0/nocturn/R/data_checks.R                                    |   26 
 nocturn-1.2.0/nocturn/R/data_cleaning.R                                  |  197 ++----
 nocturn-1.2.0/nocturn/R/data_parsing.R                                   |only
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 nocturn-1.2.0/nocturn/R/filtering.R                                      |   50 -
 nocturn-1.2.0/nocturn/R/hypnogram.R                                      |    8 
 nocturn-1.2.0/nocturn/R/load_data.R                                      |   30 -
 nocturn-1.2.0/nocturn/R/sleep_bubbles.R                                  |   13 
 nocturn-1.2.0/nocturn/R/sleep_clock.R                                    |    9 
 nocturn-1.2.0/nocturn/R/sleep_distributions.R                            |    9 
 nocturn-1.2.0/nocturn/R/sleep_metrics.R                                  |   44 -
 nocturn-1.2.0/nocturn/R/sleep_report.R                                   |   18 
 nocturn-1.2.0/nocturn/R/sleep_spiral.R                                   |   51 -
 nocturn-1.2.0/nocturn/R/time_utils.R                                     |   41 +
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 nocturn-1.2.0/nocturn/inst/shiny/download_handlers.R                     |   27 
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 nocturn-1.2.0/nocturn/inst/shiny/modules/export_data.R                   |    1 
 nocturn-1.2.0/nocturn/inst/shiny/modules/filtering.R                     |  277 ++++++---
 nocturn-1.2.0/nocturn/inst/shiny/modules/hypnogram.R                     |   11 
 nocturn-1.2.0/nocturn/inst/shiny/modules/input-epochs.R                  |   46 -
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 nocturn-1.2.0/nocturn/inst/shiny/modules/input.R                         |   59 --
 nocturn-1.2.0/nocturn/inst/shiny/modules/sleep_bubbles.R                 |   10 
 nocturn-1.2.0/nocturn/inst/shiny/modules/sleep_clock.R                   |   11 
 nocturn-1.2.0/nocturn/inst/shiny/modules/sleep_distributions.R           |   12 
 nocturn-1.2.0/nocturn/inst/shiny/modules/sleep_regularity.R              |   45 -
 nocturn-1.2.0/nocturn/inst/shiny/modules/sleep_spiral.R                  |   11 
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 nocturn-1.2.0/nocturn/inst/shiny/modules/timeseries_sessions.R           |    9 
 nocturn-1.2.0/nocturn/inst/shiny/plot_helpers.R                          |   60 +-
 nocturn-1.2.0/nocturn/inst/shiny/server.R                                |    3 
 nocturn-1.2.0/nocturn/inst/shiny/ui.R                                    |   54 +
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 nocturn-1.2.0/nocturn/man/get_col.Rd                                     |    1 
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 nocturn-1.2.0/nocturn/man/select_devices.Rd                              |    1 
 nocturn-1.2.0/nocturn/man/select_subjects.Rd                             |    1 
 nocturn-1.2.0/nocturn/man/set_colnames.Rd                                |    4 
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 nocturn-1.2.0/nocturn/man/set_min_time_in_bed.Rd                         |    1 
 nocturn-1.2.0/nocturn/man/set_session_sleep_onset_range.Rd               |    1 
 nocturn-1.2.0/nocturn/man/set_session_start_time_range.Rd                |    1 
 nocturn-1.2.0/nocturn/man/standardise_types.Rd                           |only
 nocturn-1.2.0/nocturn/man/time_diff.Rd                                   |    2 
 nocturn-1.2.0/nocturn/tests/testthat/helper-data.R                       |only
 nocturn-1.2.0/nocturn/tests/testthat/test-bedtimes_waketimes.R           |    2 
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 nocturn-1.2.0/nocturn/tests/testthat/test-colnames_accessors.R           |only
 nocturn-1.2.0/nocturn/tests/testthat/test-compliance.R                   |   10 
 nocturn-1.2.0/nocturn/tests/testthat/test-data_checks.R                  |   50 -
 nocturn-1.2.0/nocturn/tests/testthat/test-data_cleaning.R                |  112 +++
 nocturn-1.2.0/nocturn/tests/testthat/test-data_tables.R                  |    1 
 nocturn-1.2.0/nocturn/tests/testthat/test-filtering.R                    |    2 
 nocturn-1.2.0/nocturn/tests/testthat/test-module-bedtimes_waketimes.R    |   15 
 nocturn-1.2.0/nocturn/tests/testthat/test-module-bland_altman.R          |only
 nocturn-1.2.0/nocturn/tests/testthat/test-module-comparison_data.R       |only
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 nocturn-1.2.0/nocturn/tests/testthat/test-module-filtering.R             |   26 
 nocturn-1.2.0/nocturn/tests/testthat/test-module-hypnogram.R             |   10 
 nocturn-1.2.0/nocturn/tests/testthat/test-module-input_epochs.R          |    4 
 nocturn-1.2.0/nocturn/tests/testthat/test-module-input_sessions.R        |    3 
 nocturn-1.2.0/nocturn/tests/testthat/test-module-sleep_bubbles.R         |   13 
 nocturn-1.2.0/nocturn/tests/testthat/test-module-sleep_clock.R           |   13 
 nocturn-1.2.0/nocturn/tests/testthat/test-module-sleep_distributions.R   |   13 
 nocturn-1.2.0/nocturn/tests/testthat/test-module-sleep_regularity.R      |   51 +
 nocturn-1.2.0/nocturn/tests/testthat/test-module-sleep_spiral.R          |   13 
 nocturn-1.2.0/nocturn/tests/testthat/test-module-summary.R               |    8 
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 nocturn-1.2.0/nocturn/tests/testthat/test-module-timeseries_sessions.R   |   13 
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 133 files changed, 1385 insertions(+), 1247 deletions(-)

More information about nocturn at CRAN
Permanent link

New package netpanel with initial version 0.0.1
Package: netpanel
Title: Maximum Likelihood Estimation Routines for Panel Network Autocorrelation Models
Version: 0.0.1
Description: A set of maximum likelihood estimation routines for panel network autocorrelation models. The package contains functionality for fixed and random effects panel network autocorrelation model, in addition to dynamic panel network autocorrelation that contains time lags of the response and networks. Moreover, the package allows for multiple networks to be fitted. For information on the types of models estimated in this package, please see Anselin (1988) <doi:10.1007/978-94-015-7799-1>, Cook et al. (2023) <doi:10.1017/S0003055422000272>, Hays et al. (2010) <doi:10.1016/j.stamet.2009.11.005>, Lee and Yu (2012) <doi:10.1111/j.1468-2354.2012.00724.x>, Millo (2014) <doi:10.1016/j.csda.2013.07.024>, Millo and Piras (2012) <doi:10.18637/jss.v047.i01>, and Wang and Yu (2015) <doi:10.1016/j.econlet.2015.01.021>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: Rcpp (>= 1.1.0), RcppArmadillo, stats, Matrix
LinkingTo: Rcpp, RcppArmadillo
URL: https://github.com/kevinCarson/netpanel
BugReports: https://github.com/kevinCarson/netpanel/issues
NeedsCompilation: yes
Packaged: 2026-07-20 00:01:25 UTC; kevincarson
Author: Kevin Carson [aut, cre]
Maintainer: Kevin Carson <kacarson@arizona.edu>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2026-07-29 16:20:22 UTC

More information about netpanel at CRAN
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New package mhtopt with initial version 1.0.0
Package: mhtopt
Title: Optimal Multiple Hypothesis Testing Corrections
Version: 1.0.0
Description: Implements the optimal multiple hypothesis testing correction from Viviano, Wuthrich, and Niehaus (2026) <doi:10.48550/arXiv.2104.13367>. Derives the optimal per-test significance level from the economic incentives of research production, providing a correction that lies between Bonferroni (too conservative) and unadjusted (too permissive). Supports two cost models: a Linear one calibrated to United States Food and Drug Administration (FDA) clinical-trial costs, and a Cobb-Douglas one calibrated to Abdul Latif Jameel Poverty Action Lab (J-PAL) project costs. Reports optimal, Bonferroni, Holm, Benjamini-Hochberg (BH), and unadjusted results side by side.
License: MIT + file LICENSE
URL: https://github.com/dviviano/mhtopt
BugReports: https://github.com/dviviano/mhtopt/issues
Encoding: UTF-8
Language: en-US
Imports: stats
Suggests: testthat (>= 3.0.0), haven, fixest, estimatr, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-07-20 07:33:05 UTC; erick
Author: Davide Viviano [aut], Kaspar Wuthrich [aut], Paul Niehaus [aut], Erick Rosas Lopez [cre, ctb]
Maintainer: Erick Rosas Lopez <erosaslpez@ucsd.edu>
Repository: CRAN
Date/Publication: 2026-07-29 16:40:03 UTC

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New package melodi with initial version 1.1.0
Package: melodi
Title: Download Insee French Institute of Statistics Open Data
Version: 1.1.0
Description: A wrapper for the French Institute of Statistics (Insee) API Melodi <https://catalogue-donnees.insee.fr>. Download, search, filter data and metadata from open data statistical public datasets, in french or in english.
License: MIT + file LICENSE
URL: https://InseeFrLab.github.io/melodi/, https://github.com/InseeFrLab/melodi
BugReports: https://github.com/InseeFrLab/melodi/issues
Depends: R (>= 4.1.0)
Imports: data.table, dplyr, glue, httr2, labelled, magrittr, purrr, stats, tibble, tidyr, zip
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), vcr (>= 0.6.0)
VignetteBuilder: knitr
Encoding: UTF-8
Language: fr
NeedsCompilation: no
Packaged: 2026-07-20 07:46:26 UTC; onyxia
Author: Cedric Bobinec [aut, cre], Christophe Goudeau [aut], Institut national de la statistique et des etudes economiques [cph]
Maintainer: Cedric Bobinec <cedric.bobinec@insee.fr>
Repository: CRAN
Date/Publication: 2026-07-29 16:40:09 UTC

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New package leakaudit with initial version 0.1.0
Package: leakaudit
Title: Detect and Audit Train/Test Leakage from Near-Duplicate Images
Version: 0.1.0
Description: Detects near-duplicate images across dataset splits using perceptual hashing, reports the resulting train/validation/test contamination, and produces a corrected, leak-free split assignment. Intended for machine learning researchers who need to verify that image classification splits do not share near-duplicate samples across partitions before reporting model metrics.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: magick
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
URL: https://github.com/anakincodex/leakaudit
BugReports: https://github.com/anakincodex/leakaudit/issues
Depends: R (>= 4.1)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-07-20 07:00:58 UTC; Kartik
Author: Kartik Patel [aut, cre], Samruddhi Amol Shah [aut], BitandByte [cph]
Maintainer: Kartik Patel <kartikpatel.id@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-29 16:40:13 UTC

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New package koma with initial version 0.3.1
Package: koma
Title: Bayesian Simultaneous Equation Models for Forecasting
Version: 0.3.1
Description: Estimate and forecast Bayesian simultaneous equation models for macroeconomic time series. Provides tools to specify systems of behavioral equations and accounting identities, transform and manage time series, simulate from the posterior using a Metropolis-within-Gibbs sampler, and generate unconditional and conditional forecasts with user-defined priors and restrictions. Methods are described in Rathke A. and Sarferaz S. (forthcoming) "Bayesian Estimation of Simultaneous Equations Model".
URL: https://timothymerlin.github.io/koma/, https://github.com/TimothyMerlin/koma
License: GPL (>= 3)
Suggests: devtools (>= 2.4.5), ggplot2 (>= 3.5.0), usethis (>= 3.1.0), pkgdown (>= 2.0.7), knitr (>= 1.43), rmarkdown (>= 2.24), future (>= 1.33.0), parallelly (>= 1.36.0), withr (>= 3.0.0), texreg (>= 1.39.4), testthat (>= 3.2.3), plotly (>= 4.11.0), webshot2 (>= 0.1.2)
Encoding: UTF-8
Imports: cli (>= 3.6.3), doFuture (>= 1.0.0), foreach (>= 1.5.2), glue (>= 1.8.0), Matrix (>= 1.5.4.1), methods, progressr (>= 0.15.0), purrr (>= 1.0.4), rlang (>= 1.1.6), stats (>= 4.0.2), tempdisagg (>= 1.1), utils (>= 4.4.1)
Depends: R (>= 4.1.0)
LazyData: true
VignetteBuilder: knitr
BugReports: https://github.com/TimothyMerlin/koma/issues
NeedsCompilation: no
Packaged: 2026-07-20 11:58:06 UTC; tischere
Author: Samad Sarferaz [aut, cph] , Laurent Florin [aut], Merlin Scherer [aut, cre, cph] , Andrew D. Martin [ctb, cph] , Kevin M. Quinn [ctb, cph] , Jong Hee Park [ctb, cph] , Bill Venables [ctb, cph] , Brian D. Ripley [ctb, cph]
Maintainer: Merlin Scherer <scherer@kof.ethz.ch>
Repository: CRAN
Date/Publication: 2026-07-29 17:00:02 UTC

More information about koma at CRAN
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Package goldilocks updated to version 0.6.0 with previous version 0.5.0 dated 2026-06-10

Title: Adaptive Trial Designs for Survival and Binary Endpoints
Description: Implements Goldilocks adaptive trial designs for time-to-event and fixed-time binary endpoints. Outcomes are generated with a piecewise exponential model, with conjugate Gamma priors used for predictive imputation. Final analyses may use log-rank or Cox tests, Bayesian piecewise-exponential inference, frequentist risk differences, or Bayesian beta-binomial inference. The method closely follows Broglio and colleagues <doi:10.1080/10543406.2014.888569> and supports simulation of design operating characteristics.
Author: Graeme L. Hickey [aut, cre] , Ying Wan [aut], Thevaa Chandereng [aut] , Becton, Dickinson and Company [cph], Tim Kacprowski [ctb]
Maintainer: Graeme L. Hickey <graemeleehickey@gmail.com>

Diff between goldilocks versions 0.5.0 dated 2026-06-10 and 0.6.0 dated 2026-07-29

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New package funbiogeo with initial version 0.0.1
Package: funbiogeo
Title: Streamlining Functional Biogeography Analyses
Version: 0.0.1
Description: Helps users with analyses in functional biogeography by loading and combining data, computing trait coverage, as well as computing functional diversity indices, drawing maps, correlating them with the environment, and upscaling assemblages.
URL: https://frbcesab.github.io/funbiogeo/, https://github.com/frbcesab/funbiogeo
BugReports: https://github.com/frbcesab/funbiogeo/issues
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0)
Imports: ggplot2 (>= 3.4.0), grid, rlang, rnaturalearth, scales, sf, stats, terra, tidyr, tidyselect, tools, utils, xfun
Suggests: dplyr, fs, fundiversity, ggridges, knitr, mFD, mockery, patchwork, rmarkdown, rstudioapi, testthat (>= 3.0.0), vdiffr, withr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-07-20 10:22:19 UTC; nicolas
Author: Nicolas Casajus [aut, cre, cph] , Matthias Grenie [aut]
Maintainer: Nicolas Casajus <nicolas.casajus@fondationbiodiversite.fr>
Repository: CRAN
Date/Publication: 2026-07-29 16:40:19 UTC

More information about funbiogeo at CRAN
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New package floodflow with initial version 0.1.1
Package: floodflow
Title: Map-First Climate-Informed Flood Assessment for Data-Scarce Basins
Version: 0.1.1
Description: A reproducible, map-oriented workflow for flood hazard assessment that chains rainfall extreme value analysis, rainfall-runoff simulation, terrain-based flow routing and water-depth estimation into a single pipeline. A stationary-versus-nonstationary test for changing rainfall extremes is built in, and any flood scenario can be produced for a present-day or a climate-adjusted design event. Defaults target settings with sparse gauge networks, using satellite or reanalysis rainfall, temperature-based potential evapotranspiration and regional pooling of short records. Heavy modelling engines are wrapped rather than reimplemented so that the core stays lightweight. Methods follow established hydrology, including the generalized extreme value distribution for rainfall maxima (Coles, 2001, <doi:10.1007/978-1-4471-3675-0>) and Manning's equation for open-channel flow.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1)
Imports: stats
Suggests: terra, sf, extRemes, airGR, whitebox, tmap, leaflet, leafsync, ranger, lmomRFA, shiny, testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/gowusu/floodflow, https://gowusu.github.io/floodflow/
BugReports: https://github.com/gowusu/floodflow/issues
NeedsCompilation: no
Packaged: 2026-07-20 07:37:32 UTC; PC
Author: George Owusu [aut, cre]
Maintainer: George Owusu <owusugeorge@ug.edu.gh>
Repository: CRAN
Date/Publication: 2026-07-29 16:40:27 UTC

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New package csemTools with initial version 0.1.4
Package: csemTools
Title: Conditional Standard Error of Measurement Tools for Test Scores
Version: 0.1.4
Description: Compute and compare conditional standard errors of measurement (CSEM) across score distributions using methods from classical test theory. Includes approaches for smoothing, bootstrapped CSEM, standardized CSEM, CSEM for scale scores, and assessment of properties of split-half scores. Also supports comparison with global standard errors derived from reliability coefficients and graphical visualization of CSEM curves and relative precision across observed score ranges. Some of these implemented methods are based on work by Lord (1955) <doi:10.1002/j.2333-8504.1955.tb00054.x>, Feldt and Qualls (1996) <doi:10.1111/j.1745-3984.1996.tb00486.x>, McNeish and Dumas (2025) <doi:10.3758/s13428-025-02611-8>.
URL: https://github.com/cmerinos/csemTools
BugReports: https://github.com/cmerinos/csemTools/issues
License: GPL-3
Encoding: UTF-8
Imports: boot, ggplot2, pbapply, rlang
Suggests: EFA.dimensions, psych, psychTools, MBESS, kSamples, scam, zoo, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-07-20 00:07:07 UTC; C NINJA
Author: Cesar Merino-Soto [aut, cre]
Maintainer: Cesar Merino-Soto <sikayax@yahoo.com.ar>
Repository: CRAN
Date/Publication: 2026-07-29 16:20:27 UTC

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New package BBC with initial version 1.0.0
Package: BBC
Title: Bootstrap Bias Correction of Predictive Performance
Version: 1.0.0
Date: 2026-07-20
Author: Michail Tsagris [aut, cre]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>
Depends: R (>= 4.0)
Imports: Hmisc, rangen, Rfast, stats
Suggests: Rfast2
Description: Bootstrap bias correction for the performance of the cross-validation procedure. The relevant paper is Tsamardinos I., Greasidou E. and Borboudakis G. (2018), <doi:10.1007/s10994-018-5714-4>.
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2026-07-20 12:06:25 UTC; mtsag
Repository: CRAN
Date/Publication: 2026-07-29 17:00:24 UTC

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New package AlphaPowerHazard with initial version 0.1.0
Package: AlphaPowerHazard
Title: Alpha-Power Hazard Regression Models for Survival Data
Version: 0.1.0
Description: Implements the alpha-power hazard model and regression frameworks for survival data based on the flexible hazard rate function h(x; alpha, beta) = alpha^x + x^(beta-1) (Pal et al., 2026 <doi:10.1007/s41096-026-00297-5>). Provides standard distribution functions (d, p, q, r, h, H, s) and distributional properties including raw/central moments, variance, skewness, kurtosis, quantile statistics (Bowley's skewness, Moors's kurtosis), Lambert W hazard rate function minimum (Corless et al., 1996), order statistics, and stochastic ordering (Shaked & Shanthikumar, 1994). Computes five classical estimation methods for baseline parameters: Maximum Likelihood Estimation (Casella & Berger, 2002), Least Squares Estimation (Swain et al., 1988), Weighted Least Squares Estimation (Styan, 1973), Maximum Product of Spacings Estimation (Cheng & Amin, 1983 <doi:10.1111/j.2517-6161.1983.tb01241.x>), and Cramer-von Mises Estimation (Macdonald, 1971). Supports four hazard regression m [...truncated...]
License: GPL-3
Depends: R (>= 4.0.0)
Imports: survival, maxLik, numDeriv, MASS, stats, graphics, grDevices, utils
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
Encoding: UTF-8
Language: en-US
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-07-20 11:50:02 UTC; shikhar tyagi
Author: Shikhar Tyagi [aut, cre] , Arvind Pandey [aut], Bhupendra Singh [aut], Vrijesh Tripathi [aut]
Maintainer: Shikhar Tyagi <shikhar1093tyagi@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-29 16:50:09 UTC

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New package actiRhythm with initial version 0.1.0
Package: actiRhythm
Title: Circadian Rest-Activity Rhythm Analysis
Version: 0.1.0
Date: 2026-06-21
Description: Quantifies the circadian rest-activity rhythm, the roughly 24-hour cycle of activity and rest, from activity counts and raw accelerometer recordings. Analyses run on an activity-count vector and its timestamps, and a built-in reader loads 'ActiGraph' '.agd' files (an 'SQLite' database) directly. Computes nonparametric metrics (interdaily stability (IS) and intradaily variability (IV) following Witting et al. (1990) <doi:10.1016/0006-3223(90)90523-5>; relative amplitude (RA), the least-active 5-hour window (L5), and the most-active 10-hour window (M10) following Van Someren et al. (1999) <doi:10.3109/07420529908998724>), cosinor models with a rhythmicity test, confidence ellipses, population-mean cosinor, and two-group parameter comparison (Cornelissen (2014) <doi:10.1186/1742-4682-11-16>; Marler et al. (2006) <doi:10.1002/sim.2466>), period estimation by Lomb-Scargle (Lomb (1976) <doi:10.1007/BF00648343>; Scargle (1982) <doi:10.1086/160554>) and chi- [...truncated...]
License: MIT + file LICENSE
URL: https://github.com/rdazadda/actiRhythm, https://rdazadda.github.io/actiRhythm/
BugReports: https://github.com/rdazadda/actiRhythm/issues
Language: en-US
Depends: R (>= 4.1)
Imports: DBI, grDevices, ggplot2, Rcpp (>= 1.0.0), Rdpack, RSQLite, scales, splines, stats, utils
LinkingTo: Rcpp
Suggests: ActCR, agcounts, cosinor, cosinor2, GGIR, GGIRread, knitr, nonlinearTseries, nparACT, openxlsx, pracma, read.gt3x, rmarkdown, testthat (>= 3.0.0)
SystemRequirements: C++17
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2026-07-19 18:02:20 UTC; rdazadda
Author: Raymond Dacosta Azadda [aut, cre], CEAL Team [aut], Stacy Rasmus [aut]
Maintainer: Raymond Dacosta Azadda <rdazadda@alaska.edu>
Repository: CRAN
Date/Publication: 2026-07-29 16:40:34 UTC

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Package survivalSL updated to version 1.1 with previous version 1.0 dated 2025-12-16

Title: Super Learner for Survival Prediction from Censored Data
Description: Several functions and S3 methods to construct a super learner in the presence of censored times-to-event and to evaluate its prognostic capacities.
Author: Yohann Foucher [aut, cre] , Camille Sabathe [aut]
Maintainer: Yohann Foucher <yohann.foucher@univ-poitiers.fr>

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Package deepgp updated to version 1.2.2 with previous version 1.2.1 dated 2026-02-09

Title: Bayesian Deep Gaussian Processes using MCMC
Description: Performs Bayesian posterior inference for deep Gaussian processes following Sauer, Gramacy, and Higdon (2023, <doi:10.48550/arXiv.2012.08015>). See Sauer (2023, <http://hdl.handle.net/10919/114845>) for comprehensive methodological details and <https://bitbucket.org/gramacylab/deepgp-ex/> for a variety of coding examples. Models are trained through MCMC including elliptical slice sampling of latent Gaussian layers and Metropolis-Hastings sampling of kernel hyperparameters. Gradient-enhancement and gradient predictions are offered following Booth (2026, <doi:10.48550/arXiv.2512.18066>). Vecchia approximation for faster computation is implemented following Sauer, Cooper, and Gramacy (2023, <doi:10.48550/arXiv.2204.02904>). Optional monotonic warpings are implemented following Barnett et al. (2025, <doi:10.48550/arXiv.2408.01540>). Downstream tasks include sequential design through active learning Cohn/integrated mean squared error (ALC/IMSE; Sauer, G [...truncated...]
Author: Annie S. Booth [aut, cre]
Maintainer: Annie S. Booth <annie_booth@vt.edu>

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Package BE readmission to version 0.3.0 with previous version 0.2.4 dated 2023-01-06

Title: Bioequivalence Study Data Analysis
Description: Analyze bioequivalence study data with industrial strength. The statistical core is delegated to the 'sasLM' package, which reproduces 'SAS' PROC GLM output; this covers the analysis of variance, the least square means, and the confidence interval of a 2x2 crossover study. Sample size could be determined for various crossover designs, such as 2x2 design, 2x4 design, 4x4 design, Balaam design, Two-sequence dual design, and William design. Reference: Chow SC, Liu JP. Design and Analysis of Bioavailability and Bioequivalence Studies. 3rd ed. (2009, ISBN:978-1-58488-668-6).
Author: Kyun-Seop Bae [aut, cre]
Maintainer: Kyun-Seop Bae <k@acr.kr>

This is a re-admission after prior archival of version 0.2.4 dated 2023-01-06

Diff between BE versions 0.2.4 dated 2023-01-06 and 0.3.0 dated 2026-07-29

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Package PiC updated to version 3.3.3 with previous version 3.3.1 dated 2026-06-29

Title: Interactive Processing and Segmentation of Forest TLS Point-Cloud Data
Description: Tools for the processing, segmentation, and analysis of terrestrial laser scanning (TLS and MLS) forest point-cloud data. The package provides fast voxel-based processing, classification of point clouds into forest floor, understory, canopy, and woody components, and algorithms for single-tree analysis and structural characterization. Methods are designed to handle large and dense point-cloud datasets efficiently, supporting applications in forest structure assessment, connectivity analysis, and fire-risk evaluation. Input data are provided as '.xyz', '.txt', '.las', or '.laz' point-cloud files. The circle-fitting routines used for diameter estimation are adapted, in base R, from the 'conicfit' package (GPL-3) by Jose Gama, based on the original algorithms and code by Nikolai Chernov. For methodological details, see Ferrara and Arrizza (2025) <https://hdl.handle.net/20.500.14243/533471> and Ferrara et al. (2018) <doi:10.1016/j.agrformet.2018.04.008>.
Author: Roberto Ferrara [aut, cre] , Stefano Arrizza [ctb] , Nikolai Chernov [cph] , Jose Gama [ctb]
Maintainer: Roberto Ferrara <roberto.ferrara@cnr.it>

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Package palimpsestr updated to version 0.24.1 with previous version 0.24.0 dated 2026-07-25

Title: Probabilistic Decomposition of Archaeological Palimpsests
Description: Probabilistic framework for the analysis of archaeological palimpsests based on the Stratigraphic Entanglement Field (SEF). Integrates spatial proximity, stratigraphic depth, chronological overlap, and cultural similarity to estimate latent depositional phases via diagonal Gaussian mixture Expectation-Maximisation (EM). Provides the Stratigraphic Entanglement Index (SEI), Excavation Stratigraphic Energy (ESE), and Palimpsest Dissolution Index (PDI) for quantifying depositional coherence, detecting intrusive finds, and measuring palimpsest formation. Includes simulation, diagnostics, phase-count selection, publication-quality plots, and Geographic Information System (GIS) export via 'sf'. Methods are described in Cocca (2026) <https://github.com/enzococca/palimpsestr>.
Author: Enzo Cocca [aut, cre]
Maintainer: Enzo Cocca <enzo.ccc@gmail.com>

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Package microdatasus readmission to version 3.0.0 with previous version 2.3.1 dated 2024-06-18

Title: Download and Process 'DataSUS' Files
Description: Downloads and processes health microdata from Brazilian Unified Health System ('DataSUS') information systems. It handles the compressed 'DBC' format internally and provides functions to organize variables and add labels to categorical fields from mortality, live births, hospital admissions, outpatient care, health facilities, and notifiable diseases data. For details, see Saldanha et al. (2019) <doi:10.1590/0102-311x00032419>.
Author: Raphael Saldanha [aut, cre] , Sidney da Silva Pereira Bissoli [ctb, cph] , Mark Adler [ctb, cph]
Maintainer: Raphael Saldanha <raphael.saldanha@fiocruz.br>

This is a re-admission after prior archival of version 2.3.1 dated 2024-06-18

Diff between microdatasus versions 2.3.1 dated 2024-06-18 and 3.0.0 dated 2026-07-29

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Package ihsMW updated to version 1.1.1 with previous version 1.0.0 dated 2026-07-08

Title: Clean and Harmonise 'Malawi Integrated Household Survey' Data
Description: An offline suite of tools to clean, aggregate, and harmonise data from the 'Malawi Integrated Household Survey' ('IHS'), covering rounds two through six (2004 to 2025). Provides crop-specific unit conversions, stratified winsorization, consumer-price deflation, and automatic cross-round harmonisation for complex survey designs.
Author: Vitumbiko Kayuni [aut, cre]
Maintainer: Vitumbiko Kayuni <vitumbikokayuni@gmail.com>

Diff between ihsMW versions 1.0.0 dated 2026-07-08 and 1.1.1 dated 2026-07-29

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Package GeoModels updated to version 2.2.7 with previous version 2.2.6 dated 2026-07-16

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 tmsens updated to version 0.4.0 with previous version 0.3.1 dated 2024-08-29

Title: Sensitivity Analysis Using the Trimmed Means Estimator
Description: Sensitivity analysis using the trimmed means estimator.
Author: Audinga-Dea Hazewinkel [aut, cre] , Tom Palmer [aut] , Kate Tilling [aut] , Kaitlin Wade [aut] , Jack Bowden [aut]
Maintainer: Audinga-Dea Hazewinkel <dea.hazew@gmail.com>

Diff between tmsens versions 0.3.1 dated 2024-08-29 and 0.4.0 dated 2026-07-29

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Package sentopics updated to version 0.7.7 with previous version 0.7.6 dated 2025-10-15

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] , Chengua 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 MRG updated to version 0.3.30 with previous version 0.3.29 dated 2026-06-24

Title: Create Non-Confidential Multi-Resolution Grids
Description: The need for anonymization of individual survey responses often leads to many suppressed grid cells in a regular grid. Here we provide functionality for creating multi-resolution gridded data, respecting the confidentiality rules, such as a minimum number of units and dominance by one or more units for each grid cell. The functions also include the possibility for contextual suppression of data. For more details see Skoien et al. (2025) <doi:10.48550/arXiv.2410.17601>.
Author: Jon Olav Skoien [aut, cre], Nicolas Lampach [aut]
Maintainer: Jon Olav Skoien <jon.skoien@gmail.com>

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Package wrGraph updated to version 1.3.17 with previous version 1.3.16 dated 2026-06-11

Title: Graphics in the Context of Analyzing High-Throughput Data
Description: Additional options for making graphics in the context of analyzing high-throughput data are available here. This includes automatic segmenting of the current device (eg window) to accommodate multiple new plots, automatic checking for optimal location of legends in plots, small histograms to insert as legends, histograms re-transforming axis labels to linear when plotting log2-transformed data, a violin-plot <doi:10.1080/00031305.1998.10480559> function for a wide variety of input-formats, principal components analysis (PCA) <doi:10.1080/14786440109462720> with bag-plots <doi:10.1080/00031305.1999.10474494> to highlight and compare the center areas for groups of samples, generic MA-plots (differential- versus average-value plots) <doi:10.1093/nar/30.4.e15>, staggered count plots and generation of mouse-over interactive html pages.
Author: Wolfgang Raffelsberger [aut, cre]
Maintainer: Wolfgang Raffelsberger <w.raffelsberger@gmail.com>

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Package ri2 updated to version 0.5.0 with previous version 0.4.1 dated 2025-10-14

Title: Randomization Inference for Randomized Experiments
Description: Randomization inference procedures for simple and complex randomized designs, including multi-armed trials, as described in Gerber and Green (2012, ISBN: 978-0393979954). Users formally describe their randomization procedure and test statistic. The randomization distribution of the test statistic under some null hypothesis is efficiently simulated.
Author: Alexander Coppock [aut, cre]
Maintainer: Alexander Coppock <acoppock@gmail.com>

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Package CovTools updated to version 0.5.7 with previous version 0.5.6 dated 2025-09-21

Title: Statistical Tools for Covariance Analysis
Description: Covariance is of universal prevalence across various disciplines within statistics. We provide a rich collection of geometric and inferential tools for convenient analysis of covariance structures, topics including distance measures, mean covariance estimator, covariance hypothesis test for one-sample and two-sample cases, and covariance estimation. For an introduction to covariance in multivariate statistical analysis, see Schervish (1987) <doi:10.1214/ss/1177013111>.
Author: Kyoungjae Lee [aut], Lizhen Lin [ctb], Kisung You [aut, cre]
Maintainer: Kisung You <kisung.you@outlook.com>

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Package censobr updated to version 0.6.0 with previous version 0.5.0 dated 2025-07-06

Title: Download Data from Brazil's Population Census
Description: Easy access to data from Brazil's population censuses. The package provides a simple and efficient way to download and read the data sets and the documentation of all the population censuses taken in and after 1960 in the country. The package is built on top of the 'Arrow' platform <https://arrow.apache.org/docs/r/>, which allows users to work with larger-than-memory census data using 'dplyr' familiar functions. <https://arrow.apache.org/docs/r/articles/arrow.html#analyzing-arrow-data-with-dplyr>.
Author: Rafael H. M. Pereira [aut, cre] , Rogerio J. Barbosa [aut] , Diego Rabatone Oliveira [ctb], Neal Richardson [ctb], Ipea - Institute for Applied Economic Research [cph, fnd]
Maintainer: Rafael H. M. Pereira <rafa.pereira.br@gmail.com>

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Package vcd updated to version 1.4-14 with previous version 1.4-13 dated 2024-09-16

Title: Visualizing Categorical Data
Description: Visualization techniques, data sets, summary and inference procedures aimed particularly at categorical data. Special emphasis is given to highly extensible grid graphics. The package was package was originally inspired by the book "Visualizing Categorical Data" by Michael Friendly and is now the main support package for a new book, "Discrete Data Analysis with R" by Michael Friendly and David Meyer (2015).
Author: David Meyer [aut, cre] , Achim Zeileis [aut] , Kurt Hornik [aut] , Florian Gerber [ctb], Michael Friendly [aut]
Maintainer: David Meyer <David.Meyer@R-project.org>

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Package TmCalculator updated to version 1.0.8 with previous version 1.0.7 dated 2026-06-25

Title: Genome-Wide Nucleic Acid Melting Temperature Profiling and Multi-Omics Integration
Description: Accurate calculation of nucleic acid melting temperature (Tm) is fundamental to many molecular biology applications, and this software scales Tm analysis from individual sequences to genome‑wide thermodynamic profiling. This package extends Tm analysis from simple sequence level computation to comprehensive genome-wide thermodynamic profiling. It takes multiple input formats including sequence strings, FASTA files, genomic coordinates. The implementation provides three Tm calculation methods: the Wallace rule (Thein & Wallace, 1986), empirical GC‑content formulas (Marmur, 1962; Schildkraut, 2010; Wetmur, 1991; Untergasser, 2012; von Ahsen, 2001), and nearest‑neighbor thermodynamics (Breslauer, 1986; Sugimoto, 1996; Allawi, 1998; SantaLucia, 2004; Freier, 1986; Xia, 1998; Chen, 2012; Bommarito, 2000; Turner, 2010; Sugimoto, 1995; Allawi, 1997; SantaLucia, 2005). Corrections are supported for salt ions (SantaLucia, 1996, 1998; Owczarzy, 2004, 2008) and for chemical conditions such as [...truncated...]
Author: Junhui Li [cre, aut] , Lihua Julie Zhu [aut]
Maintainer: Junhui Li <ljh.biostat@gmail.com>

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Package muhaz updated to version 1.2.6.5 with previous version 1.2.6.4 dated 2021-04-21

Title: Hazard Function Estimation in Survival Analysis
Description: Produces a smooth estimate of the hazard function for censored data.
Author: S original by Kenneth Hess [aut], R port by R. Gentleman [aut], David Winsemius [cre, ctb], Ken Beath [ctb]
Maintainer: David Winsemius <dwinsemius@comcast.net>

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Package bnpMTP updated to version 1.0.1 with previous version 1.0.0 dated 2025-09-24

Title: Bayesian Nonparametric Sensitivity Analysis of Multiple Testing Procedures for p Values
Description: Bayesian Nonparametric sensitivity analysis of multiple testing procedures for p values with arbitrary dependencies, based on the Dirichlet process prior distribution.
Author: George Karabatsos [aut, cre]
Maintainer: George Karabatsos <gkarabatsos1@gmail.com>

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Package rtiddlywiki (with last version 0.5.2) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2025-12-18 0.5.2
2025-09-23 0.5.0
2022-07-05 0.1.0

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Package nhanesR (with last version 0.1.5) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2026-07-17 0.1.5

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