Tue, 12 May 2026

Package EpiModel updated to version 2.6.1 with previous version 2.6.0 dated 2026-03-19

Title: Mathematical Modeling of Infectious Disease Dynamics
Description: Tools for simulating mathematical models of infectious disease dynamics. Epidemic model classes include deterministic compartmental models, stochastic individual-contact models, and stochastic network models. Network models use the robust statistical methods of exponential-family random graph models (ERGMs) from the Statnet suite of software packages in R. Standard templates for epidemic modeling include SI, SIR, and SIS disease types. EpiModel features an API for extending these templates to address novel scientific research aims. Full methods for EpiModel are detailed in Jenness et al. (2018, <doi:10.18637/jss.v084.i08>).
Author: Samuel Jenness [cre, aut], Steven M. Goodreau [aut], Martina Morris [aut], Adrien Le Guillou [aut], Chad Klumb [aut], Skye Bender-deMoll [ctb]
Maintainer: Samuel Jenness <samuel.m.jenness@emory.edu>

Diff between EpiModel versions 2.6.0 dated 2026-03-19 and 2.6.1 dated 2026-05-12

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More information about EpiModel at CRAN
Permanent link

Package modelbpp updated to version 0.3.0 with previous version 0.2.0 dated 2026-03-01

Title: Model BIC Posterior Probability
Description: Fits the neighboring models of a fitted structural equation model and assesses the model uncertainty of the fitted model based on BIC posterior probabilities (BPP), using the method presented in Wu, Cheung, and Leung (2020) <doi:10.1080/00273171.2019.1574546>. See Pesigan, Cheung, Wu, Chang, and Leung (2026) <doi:10.3758/s13428-025-02921-x> for an introduction to the package.
Author: Shu Fai Cheung [aut, cre] , Huiping Wu [aut], Shing On Leung [aut] , Ivan Jacob Agaloos Pesigan [ctb]
Maintainer: Shu Fai Cheung <shufai.cheung@gmail.com>

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Package scf updated to version 1.0.7 with previous version 1.0.5 dated 2025-11-20

Title: Analyzing the Survey of Consumer Finances
Description: Analyze public-use micro data from the Survey of Consumer Finances. Provides tools to download prepared data files, construct replicate-weighted multiply imputed survey designs, compute descriptive statistics and model estimates, and produce plots and tables. Methods follow design-based inference for complex surveys and pooling across multiple imputations. See the package website and the code book for background.
Author: Joseph Cohen [aut, cre]
Maintainer: Joseph Cohen <joseph.cohen@qc.cuny.edu>

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Package correspondenceTables updated to version 1.0.1 with previous version 0.7.4 dated 2022-09-27

Title: Creating Correspondence Tables Between Two Statistical Classifications
Description: A candidate correspondence table between two classifications can be created when there are correspondence tables leading from the first classification to the second one via intermediate 'pivot' classifications. The correspondence table between two statistical classifications can be updated when one of the classifications gets updated to a new version.
Author: Vasilis Chasiotis [aut] , Photis Stavropoulos [aut] , Martin Karlberg [aut], Matyas Meszaros [cre], Martina Patone [aut], Erkand Muraku [aut], Clement Thomas [aut], Loic Bienvenu [aut], Mauro Baldacchini [aut], Khadija Sossey-Lallemand [aut], Mark va [...truncated...]
Maintainer: Matyas Meszaros <matyas.meszaros@ec.europa.eu>

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Package wizaRdry updated to version 0.6.8 with previous version 0.6.7 dated 2026-04-13

Title: A Magical Framework for Collaborative & Reproducible Data Analysis
Description: A comprehensive data analysis framework for NIH-funded research that streamlines workflows for both data cleaning and preparing NIH Data Archive ('NDA') submission templates. Provides unified access to multiple data sources ('REDCap', 'MongoDB', 'Qualtrics', 'SQL', 'ORACLE') through interfaces to their APIs, with specialized functions for data cleaning, filtering, merging, and parsing. Features automatic validation, field harmonization, and memory-aware processing to enhance reproducibility in multi-site collaborative research as described in Mittal et al. (2021) <doi:10.20900/jpbs.20210011>.
Author: Joshua G. Kenney [aut, cre], Trevor F. Williams [aut], Minerva K. Pappu [aut], Michael J. Spilka [aut], Danielle N. Pratt [ctb], Victor J. Pokorny [ctb], Santiago Castiello de Obeso [ctb], Praveen Suthaharan [ctb], Christian R. Horgan [ctb]
Maintainer: Joshua G. Kenney <joshua.kenney@yale.edu>

Diff between wizaRdry versions 0.6.7 dated 2026-04-13 and 0.6.8 dated 2026-05-12

 DESCRIPTION  |    6 +++---
 MD5          |    6 +++---
 NAMESPACE    |    1 +
 R/getMongo.R |    3 +--
 4 files changed, 8 insertions(+), 8 deletions(-)

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New package vitopack with initial version 0.1.1
Package: vitopack
Title: Actuarial Helpers for Triangles, Exposures and Czech Birth Numbers
Version: 0.1.1
Description: A collection of utilities that grew out of day-to-day non-life actuarial work at Com-PASS Advisory. Provides helpers for building chain-ladder triangles (cumulative, decumulative, run-off, development factors with optional weighting), constructing exposure columns from policy start/end dates, parsing Czech birth numbers ('rodné číslo') into dates, generating smooth RGB color palettes for charts, and loading multi-sheet 'xlsx'/'xlsb' files into a list of data frames. The chain-ladder helpers follow the standard methodology of Mack (1993) <doi:10.2143/AST.23.2.2005092>.
License: MIT + file LICENSE
URL: https://github.com/Com-PASS-OV/vitopack, https://Com-PASS-OV.github.io/vitopack/
BugReports: https://github.com/Com-PASS-OV/vitopack/issues
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.1.0)
Imports: data.table, dplyr, tibble, tidyselect, rlang, lubridate, grDevices, graphics, stats, utils
Suggests: readxl, plotly, testthat (>= 3.0.0), knitr, rmarkdown, covr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-05-07 17:39:03 UTC; OndřejVít
Author: Ondrej Vit [aut, cre]
Maintainer: Ondrej Vit <ondrej.vit@com-pass.cz>
Repository: CRAN
Date/Publication: 2026-05-12 19:20:02 UTC

More information about vitopack at CRAN
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Package QUALYPSO updated to version 3.0 with previous version 2.3 dated 2023-10-24

Title: Partitioning Uncertainty Components of an Incomplete Ensemble of Climate Projections
Description: These functions use data augmentation and Bayesian techniques for the assessment of single-member and incomplete ensembles of climate projections. It provides unbiased estimates of climate change responses of all simulation chains and of all uncertainty variables. It additionally propagates uncertainty due to missing information in the estimates. - Evin, G., B. Hingray, J. Blanchet, N. Eckert, S. Morin, and D. Verfaillie. (2019) <doi:10.1175/JCLI-D-18-0606.1>.
Author: Guillaume Evin [aut, cre]
Maintainer: Guillaume Evin <guillaume.evin@inrae.fr>

Diff between QUALYPSO versions 2.3 dated 2023-10-24 and 3.0 dated 2026-05-12

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New package nativeORT with initial version 0.1.2
Package: nativeORT
Title: Native 'R' 'ONNX' Runtime
Version: 0.1.2
Description: Provides 'R' native 'ONNX' model inference without requiring 'Python', 'reticulate' bindings, or 'TensorFlow'. This package directly binds the 'ONNX Runtime' C API via 'Rcpp', enabling real-time inference for '.onnx' engines, all within 'R'. Standard CPU execution is supported as well as the 'CoreML' Execution Provider (CEP) for Apple Silicon, all without external bindings. This package handles OS detection, linking 'ONNX' libraries, and inference. For more information about 'ONNX Runtime' see <https://onnxruntime.ai/>.
License: MIT + file LICENSE
Language: en-US
Encoding: UTF-8
LinkingTo: Rcpp
Imports: Rcpp, digest, glue
SystemRequirements: libonnxruntime (>= 1.20)
Suggests: ggplot2, knitr, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/calebmcarr/nativeORT
BugReports: https://github.com/calebmcarr/nativeORT/issues
NeedsCompilation: yes
Packaged: 2026-05-07 01:44:21 UTC; calebcarr
Author: Caleb Carr [aut, cre]
Maintainer: Caleb Carr <calebmcarr1@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-12 19:20:08 UTC

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New package mwmap with initial version 1.0.0
Package: mwmap
Title: Create Maps of Malawi Administrative Boundaries
Version: 1.0.0
Description: Provides a tidy, high-level interface for creating polished maps of Malawi at country, region, district, and Traditional Authority level. Functions handle spatial data retrieval, administrative-name matching, joins from ordinary data frames, numeric and categorical choropleths, labels, highlights, and professional 'ggplot2' styling. Spatial boundary data are provided by the companion package 'mwmapdata'.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.5)
Imports: dplyr, ggplot2, grid, mwmapdata (>= 1.0.0), grDevices, rlang, sf, tools, utils
Suggests: ggrepel, ggspatial, plotly, knitr, rmarkdown, testthat (>= 3.0.0)
URL: https://github.com/bitacanalytics/mwmap
BugReports: https://github.com/bitacanalytics/mwmap/issues
NeedsCompilation: no
Packaged: 2026-05-07 17:27:38 UTC; bitac
Author: Chifundo Bita [aut, cre]
Maintainer: Chifundo Bita <bitac.analytics@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-12 19:20:13 UTC

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New package MetaHunt with initial version 0.1.0
Package: MetaHunt
Title: Privacy-Preserving Meta-Analysis via Low-Rank Basis Hunting
Version: 0.1.0
Description: Tools for privacy-preserving meta-analysis of function-valued quantities across heterogeneous studies. Implements the 'MetaHunt' pipeline, including the denoised functional Successive Projection Algorithm (d-fSPA) for basis hunting, constrained weight estimation, Dirichlet regression of weights on study-level covariates, target prediction, and split/cross conformal prediction intervals. Operates on aggregate-level function evaluations, so individual-level data from source studies are not required. Methodology described in Shi, Imai, and Zhang (2026) <doi:10.48550/arXiv.2604.23847>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.0)
Imports: quadprog, DirichletReg, stats, graphics, grDevices, withr
Suggests: grf, knitr, rmarkdown, testthat (>= 3.0.0)
URL: https://github.com/WShi18/MetaHunt, https://wshi18.github.io/MetaHunt/, https://arxiv.org/abs/2604.23847
BugReports: https://github.com/WShi18/MetaHunt/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-05-07 00:50:01 UTC; sophiashi
Author: Wenqi Shi [aut, cre], Kosuke Imai [aut], Yi Zhang [aut]
Maintainer: Wenqi Shi <wenqishi18@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-12 19:20:43 UTC

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New package mcdabench with initial version 1.1.1
Package: mcdabench
Title: Benchmarking for Multi-Criteria Decision Analysis
Version: 1.1.1
Date: 2026-04-15
Author: Cagatay Cebeci [aut, cre]
Maintainer: Cagatay Cebeci <cebecicagatay@gmail.com>
Description: Performs and benchmarks various Multi-Criteria Decision Analysis (MCDA) methods. MCDA is a decision-making framework used to evaluate and rank alternatives based on multiple conflicting criteria using normalization, weighting, and aggregation techniques. The package implements a wide range of MCDA methods including ARAS (Additive Ratio Assessment), AROMAN (Alternative Ranking Order Method Accounting for two-step Normalization), COCOSO (Combined Compromise Solution), CODAS (Combinative Distance-based Assessment), COPRAS (Complex Proportional Assessment), EDAS (Evaluation based on Distance from Average Solution), ELECTRE (Elimination and Choice Expressing Reality) family (I-IV), FUCA (Faire Un Choix Adequat), GRA (Grey Relational Analysis), MABAC (Multi-Attributive Border Approximation Area Comparison), MAIRCA (Multi-Attributive Ideal-Real Comparative Analysis), MARCOS (Measurement of Alternatives and Ranking according to Compromise Solution), MAUT (Multi-Attribute Utility Theory), MAVT [...truncated...]
Depends: R (>= 4.5.0)
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Imports: factoextra, ggplot2, gplots, igraph, monochromeR, networkD3
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-05-07 18:18:47 UTC; user1
Repository: CRAN
Date/Publication: 2026-05-12 19:40:02 UTC

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Package idealstan readmission to version 1.0 with previous version 0.7.2 dated 2019-07-10

Title: Robust Measurement with 'Stan'
Description: Offers item-response theory (IRT) ideal-point measurement modeling for diverse distributions, missing data, and over-time variation. Full and approximate Bayesian sampling with 'Stan' (<https://mc-stan.org/>).
Author: Robert Kubinec [aut, cre]
Maintainer: Robert Kubinec <bobkubinec@gmail.com>

This is a re-admission after prior archival of version 0.7.2 dated 2019-07-10

Diff between idealstan versions 0.7.2 dated 2019-07-10 and 1.0 dated 2026-05-12

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New package genproc with initial version 0.2.0
Package: genproc
Title: Robust, Logged and Reproducible Iteration at Organizational Scale
Version: 0.2.0
Description: Turns one-off iterative R procedures (such as for loops, lapply() or pmap() from 'purrr') into production-grade workflows by wrapping them with orthogonal, composable execution layers. Two layers are always active: structured logging with real traceback and per-case timing; and reproducibility capture, which records the R version, loaded package versions, execution environment, the exact iteration mask, and a stat-based fingerprint of every input file referenced in the mask (with a diff_inputs() helper to detect silent drift between runs). Parallel execution (built on the 'future' framework, Bengtsson (2021) <doi:10.32614/RJ-2021-048>), non-blocking background jobs, and opt-in progress reporting (via 'progressr') are implemented as optional, composable layers. Further layers (error replay, content-hash input fingerprinting, content-based case identifiers) are planned and will remain composable with the default layers.
License: MIT + file LICENSE
URL: https://danielrak.github.io/genproc/, https://github.com/danielrak/genproc
BugReports: https://github.com/danielrak/genproc/issues
Imports: future, future.apply, parallel, progressr, stats, utils
Suggests: dplyr, knitr, magrittr, purrr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2026-05-07 19:14:20 UTC; rheri
Author: Daniel Rakotomalala [aut, cre]
Maintainer: Daniel Rakotomalala <rakdanielh@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-12 19:20:25 UTC

More information about genproc at CRAN
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New package ExtremeCI with initial version 0.2.1
Package: ExtremeCI
Title: Realistic Confidence Intervals for Non-Stationary Extreme Value Statistics
Version: 0.2.1
Description: This framework provides versatile algorithms to efficiently infer confidence intervals for extreme value statistics, such as extreme quantiles and return levels, that are representative of the asymmetric uncertainty spread, using extreme value theory extrapolation and the profile likelihood (see e.g., Coles (2001) <doi:10.1007/978-1-4471-3675-0>). Unlike existing algorithms, the CI endpoints are found without the need for a strict prespecified range, can be covariate-dependent, and can be based on weighted samples. This package is motivated by Zeder et al. (2023) <doi:10.1029/2023GL104090> and by Pasche et al. (2026) <doi:10.1007/s10687-026-00536-9>.
License: GPL (>= 3)
Encoding: UTF-8
Imports: doFuture, dplyr, evd, foreach, future, ggplot2, magrittr, rlang, stats, tibble, tidyr, tidyselect
URL: https://github.com/opasche/ExtremeCI, https://opasche.github.io/ExtremeCI/
BugReports: https://github.com/opasche/ExtremeCI/issues
NeedsCompilation: no
Packaged: 2026-05-07 15:21:49 UTC; pascheo
Author: Olivier C. Pasche [aut, cre, cph]
Maintainer: Olivier C. Pasche <olivier_pasche@alumni.epfl.ch>
Repository: CRAN
Date/Publication: 2026-05-12 19:10:02 UTC

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New package certify with initial version 0.1.0
Package: certify
Title: Generate Branded PDF Certificates
Version: 0.1.0
Description: Produces formal landscape PDF certificates with configurable color themes, optional logos, decorative borders, laurels, and corner ornaments. Built on 'grid' with no external 'LaTeX' or 'Quarto' dependency. Suitable for academic awards, professional recognition, and similar uses.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
Depends: R (>= 3.6.0)
Imports: grDevices, grid, png
Suggests: testthat (>= 3.0.0)
URL: https://github.com/cwimpy/certify
BugReports: https://github.com/cwimpy/certify/issues
NeedsCompilation: no
Packaged: 2026-05-08 03:45:25 UTC; cwimpy
Author: Cameron Wimpy [aut, cre, cph]
Maintainer: Cameron Wimpy <cwimpy@mac.com>
Repository: CRAN
Date/Publication: 2026-05-12 19:40:12 UTC

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New package bacontrees with initial version 1.0.0
Package: bacontrees
Title: Bayesian Context Trees for Discrete Sequence Data
Version: 1.0.0
Description: Models discrete sequential data using Bayesian Context Trees. Context trees, also known as Variable Length Markov Chains (VLMCs), are parsimonious Markov models where the order of dependence can vary with the observed past. Provides a generic 'R6' class structure that exposes the full tree for building custom algorithms, exact Bayesian inference via a bottom-up recursive algorithm (closed-form marginal likelihood, Maximum A Posteriori (MAP) tree, exact posterior probabilities, and exact sampling from the posterior), a frequentist estimator via the context algorithm with likelihood-ratio pruning, simulation utilities, and a Metropolis-Hastings sampler. See Paulichen and Freguglia (2026) <doi:10.48550/arXiv.2603.25806>.
License: GPL (>= 3)
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
Imports: R6, stringr, glue, purrr, dplyr, progressr, Rcpp, igraph, ggraph, ggplot2, Brobdingnag
Depends: R (>= 4.1.0)
LazyData: true
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2026-05-07 21:53:03 UTC; victo
Author: Victor Freguglia [aut, cre] , Thiago Paulichen [ctb]
Maintainer: Victor Freguglia <victorfreguglia@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-12 19:20:31 UTC

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New package AIDA with initial version 0.1.5
Package: AIDA
Title: Analysis of Interval DAta
Version: 0.1.5
Description: Tools for the analysis of interval-valued data, including construction, visualization, and statistical modeling. The package provides the 'intData' class for representing interval-valued data, along with functions to aggregate microdata and to estimate parameters of latent distributions. Barycenter and covariance matrix estimation is implemented based on the Mallows distance (Oliveira et al. (2025) <doi:10.48550/arXiv.2407.05105>). Robust estimation of the symbolic covariance matrix is implemented via the Interval Minimum Covariance Determinant (IMCD) estimator, enabling outlier detection based on the robust squared Interval-Mahalanobis distance, as proposed by Loureiro et al. (2026) <doi:10.48550/arXiv.2604.26769>.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/catarinaploureiro/AIDA, https://catarinaploureiro.github.io/AIDA/
BugReports: https://github.com/catarinaploureiro/AIDA/issues
LazyData: true
LazyDataCompression: xz
VignetteBuilder: knitr
Language: en-US
Imports: ggplot2, ggrepel, CerioliOutlierDetection, cellWise, geigen, kde1d, plotly, robustbase, MASS, assertthat, methods
Depends: R (>= 3.6)
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), corrplot
NeedsCompilation: no
Packaged: 2026-05-07 22:19:07 UTC; catar
Author: Catarina P. Loureiro [aut, cre]
Maintainer: Catarina P. Loureiro <catarinapadrela@tecnico.ulisboa.pt>
Repository: CRAN
Date/Publication: 2026-05-12 19:30:02 UTC

More information about AIDA at CRAN
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New package accelEE with initial version 0.3.1
Package: accelEE
Title: Predict Energy Expenditure from Accelerometer Data
Version: 0.3.1
Description: Simplifies the application of various energy expenditure models. The package is intended as a hub that brings together methods from a variety of other, themed packages such as 'Sojourn' and 'TwoRegression'. Several methods are supported locally as well, including the linear methods of Hildebrand et al. (2014) <doi:10.1249/MSS.0000000000000289> and the non-linear adaptation by Ellingson et al. (2017) <doi:10.1088/1361-6579/aa6d00>. The package can combine output from different methods and produce standardized output in a range of units.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/paulhibbing/accelEE
BugReports: https://github.com/paulhibbing/accelEE/issues
Imports: digest, dplyr, lubridate, magrittr, nnet, PAutilities (>= 1.3.0), randomForest, rlang, Sojourn (>= 1.1.0), stats, tidyr, tree, TwoRegression (>= 1.0.0), utils
Depends: R (>= 2.10)
Suggests: EE.Data, PhysActBedRest (>= 1.1), PhysicalActivity (>= 0.2.4), read.gt3x (>= 1.0.2)
NeedsCompilation: no
Packaged: 2026-05-07 21:58:54 UTC; phibbing
Author: Paul R. Hibbing [aut, cre], Children's Mercy Kansas City [cph]
Maintainer: Paul R. Hibbing <paulhibbing@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-12 19:20:37 UTC

More information about accelEE at CRAN
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Package visStatistics updated to version 0.2.0 with previous version 0.1.7 dated 2025-05-28

Title: Automated Selection and Visualisation of Statistical Hypothesis Tests
Description: The right test, visualised. 'visStatistics' automatically selects and visualises statistical hypothesis tests comparing two vectors, based on their class, distribution, and sample size. Visual outputs, including box plots, bar charts, regression lines with confidence bands, mosaic plots, residual plots, and Q-Q plots, are annotated with relevant test statistics, assumption checks, and post-hoc analyses where applicable. The algorithmic workflow shifts attention from ad-hoc test selection to visual diagnostic assessment and statistical interpretation. It is particularly suited for server-side R applications, where end users interact solely through a web interface to select data groups and receive a complete visual statistical analysis automatically. The same automation makes it useful in time-constrained contexts such as statistical consulting, where it reduces effort spent on test selection and leaves more room for interpretation. The implemented tests cover the most frequently applied [...truncated...]
Author: Sabine Schilling [cre, aut, cph] , Peter Kauf [ctb]
Maintainer: Sabine Schilling <sabineschilling@gmx.ch>

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Package trackopt updated to version 0.1.1 with previous version 0.1.0 dated 2025-05-12

Title: Track Numerical Optimization
Description: Tracks parameter values, gradients, and Hessians at each iteration of numerical optimizers. Useful for analyzing optimization progress, diagnosing issues, and studying convergence behavior.
Author: Lennart Oelschlaeger [aut, cre]
Maintainer: Lennart Oelschlaeger <oelschlaeger.lennart@gmail.com>

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Package tibblify updated to version 0.4.1 with previous version 0.4.0 dated 2026-05-09

Title: Rectangle Nested Lists
Description: A tool to rectangle a nested list, that is to convert it into a 'tibble'. This is done automatically or according to a given specification. A common use case is for nested lists coming from parsing 'JSON' files, or the 'JSON' responses of 'REST' 'APIs'. 'Rectangling' uses the 'vctrs' package, and therefore offers a wide support of vector types.
Author: Jon Harmon [aut, cre] , Maximilian Girlich [aut, cph], Kirill Mueller [ctb]
Maintainer: Jon Harmon <jonthegeek@gmail.com>

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Package SynergyLMM updated to version 1.1.3 with previous version 1.1.2 dated 2025-11-20

Title: Statistical Framework for in Vivo Drug Combination Studies
Description: A framework for evaluating drug combination effects in preclinical in vivo studies. 'SynergyLMM' provides functions to analyze longitudinal tumor growth experiments using mixed-effects models, perform time-resolved analyses of synergy and antagonism, evaluate model diagnostics and performance, and assess both post-hoc and a priori statistical power. The calculation of drug combination synergy follows the statistical framework provided by Demidenko and Miller (2019, <doi:10.1371/journal.pone.0224137>). The implementation and analysis of linear mixed-effect models is based on the methods described by Pinheiro and Bates (2000, <doi:10.1007/b98882>), and Gałecki and Burzykowski (2013, <doi:10.1007/978-1-4614-3900-4>).
Author: Rafael Romero-Becerra [aut, cre] , Zhi Zhao [ctb], Tero Aittokallio [ctb]
Maintainer: Rafael Romero-Becerra <rafrombec@gmail.com>

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Package SASmixed readmission to version 1.0-5 with previous version 1.0-4 dated 2014-03-11

Title: Data Sets from "SAS System for Mixed Models
Description: Data sets and sample lmer analyses corresponding to the examples in Littell, Milliken, Stroup and Wolfinger (1996), "SAS System for Mixed Models", SAS Institute.
Author: Ramon Littell [aut], George Milliken [aut], Walter Stroup [aut], Russell Wolfinger [aut], Douglas Bates [aut] , Martin Maechler [aut] , Ben Bolker [aut] , Steve Walker [aut] , Anna Ly [cre]
Maintainer: Anna Ly <annahuynh.ly@utoronto.ca>

This is a re-admission after prior archival of version 1.0-4 dated 2014-03-11

Diff between SASmixed versions 1.0-4 dated 2014-03-11 and 1.0-5 dated 2026-05-12

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Package opencis updated to version 0.1.1 with previous version 0.1.0 dated 2026-04-29

Title: Import Data from Spanish Sociological Research Center (CIS)
Description: Search and import data directly to R from the Spanish Sociological Research Center (CIS) <https://www.cis.es/inicio>. The CIS is a public institution that conducts electoral and sociological research studies on the Spanish society. The CIS has a large database of surveys that can be accessed through its website. The package includes functions to search for surveys, survey questions and timeseries, and import the data directly to R.
Author: Hector Meleiro [aut, cre]
Maintainer: Hector Meleiro <hmeleiros@gmail.com>

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New package mfclim with initial version 0.1.1
Package: mfclim
Title: Download Archived Meteorological Data from 'Meteo-France'
Version: 0.1.1
Description: Download meteorological data from the 'Meteo-France' public API 'Données climatologiques' <https://portail-api.meteofrance.fr> and 'SYNOP' open data archives <https://meteo.data.gouv.fr/datasets/686f8595b351c06a3a790867>. It provides functions to authenticate, list stations, retrieve station metadata, request data, download files, and import data directly into 'R'.
License: AGPL (>= 3)
URL: https://github.com/Nmoiroux/mfclim
BugReports: https://github.com/Nmoiroux/mfclim/issues
Imports: httr, utils
Suggests: httptest, testthat
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-05-07 10:52:48 UTC; nm
Author: Nicolas Moiroux [aut, cre]
Maintainer: Nicolas Moiroux <nicolas.moiroux@ird.fr>
Repository: CRAN
Date/Publication: 2026-05-12 18:20:02 UTC

More information about mfclim at CRAN
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New package metalcor with initial version 1.0.0
Package: metalcor
Title: Meta-Analysis of Correlated Genetic Association Studies
Version: 1.0.0
Description: The main function performs meta-analysis of genetic association study summary statistics that may be correlated due to cryptic relatedness or other confounders, generalizing inverse variance weighted methods. The function that estimates the correlation structure is also provided standalone. Another key innovation, the estimation of the correlation parameter from the median product of correlated standard normal variables, is provided, as well as a complete set of functions for their underlying distribution: density, cumulative, quantile, and random deviates. Described in Tu and Ochoa (2025) <doi:10.1101/2025.05.10.653279>.
License: GPL (>= 3)
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Imports: stats, dplyr, tibble, tidyselect
VignetteBuilder: knitr
URL: https://github.com/OchoaLab/metalcor
BugReports: https://github.com/OchoaLab/metalcor/issues
NeedsCompilation: no
Packaged: 2026-05-06 19:25:54 UTC; viiia
Author: Alejandro Ochoa [aut, cre] , Tiffany Tu [aut]
Maintainer: Alejandro Ochoa <alejandro.ochoa@duke.edu>
Repository: CRAN
Date/Publication: 2026-05-12 19:00:02 UTC

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Package medrxivr updated to version 0.1.4 with previous version 0.1.3 dated 2026-05-07

Title: Access and Search MedRxiv and BioRxiv Preprint Data
Description: An increasingly important source of health-related bibliographic content are preprints - preliminary versions of research articles that have yet to undergo peer review. The two preprint repositories most relevant to health-related sciences are medRxiv <https://www.medrxiv.org/> and bioRxiv, both of which are operated by the Cold Spring Harbor Laboratory. 'medrxivr' provides programmatic access to the 'Cold Spring Harbour Laboratory (CSHL)' API <https://api.biorxiv.org/>, allowing users to easily download medRxiv and bioRxiv preprint metadata (e.g. title, abstract, publication date, author list, etc) into R. 'medrxivr' also provides functions to search the downloaded preprint records using regular expressions and Boolean logic, as well as helper functions that allow users to export their search results to a .BIB file for easy import to a reference manager and to download the full-text PDFs of preprints matching their search criteria.
Author: Yaoxiang Li [aut, cre] , Luke McGuinness [aut], Lena Schmidt [aut], Tuija Sonkkila [rev], Najko Jahn [rev]
Maintainer: Yaoxiang Li <liyaoxiang@outlook.com>

Diff between medrxivr versions 0.1.3 dated 2026-05-07 and 0.1.4 dated 2026-05-12

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Package ggerror updated to version 1.0.0 with previous version 0.3.0 dated 2026-04-21

Title: Extended Error Geoms for 'ggplot2'
Description: Extends the 'ggplot2' error geoms. geom_error() accepts an error aesthetic with auto-inference of the orientation. It also supports `error_neg` and `error_pos` for asymmetric cases, with full control over aesthetics per side, such as color, width etc...
Author: Yann Cohen [aut, cre]
Maintainer: Yann Cohen <yannco5@gmail.com>

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New package fpod with initial version 1.0.1
Package: fpod
Title: Read and Process 'FPOD' and 'CPOD' Data
Version: 1.0.1
Date: 2026-04-30
Description: Read 'FPOD' and 'CPOD' data into 'R' directly from the 'FPOD' data files (i.e. .CP1, .CP3, .FP1 and .FP3 files). The 'FPOD' data files contain binary data, so they can't trivially be read into 'R' using the usual approach, e.g. fread() or read.csv(). This package decodes the binary data and imports all the data in one go (i.e. header/metadata, clicks, 'KERNO' classifications, environmental data and pseudo-WAV data). It is then trivial to aggregate data as you please, e.g. detection-positive-minutes per time block. The advantage of handling data processing in 'R' is a long topic, but suffice it to say that it 1) simplifies things (many fewer steps, as different vars have to be exported in multiple goes in the official 'FPOD' app), and more importantly, 2) makes data processing transparent and reproducible. References: Pirotta et al. 2014 <doi:10.1111/1365-2435.12146>.
License: MIT + file LICENSE
Encoding: UTF-8
LinkingTo: Rcpp
Imports: Rcpp (>= 1.1.0), data.table
Suggests: knitr, mixtools, rmarkdown, testthat (>= 3.0.0)
Depends: R (>= 3.5)
VignetteBuilder: knitr
URL: https://github.com/supermoan/fpod
BugReports: https://github.com/supermoan/fpod/issues
NeedsCompilation: yes
Packaged: 2026-05-07 11:21:56 UTC; a21997
Author: Andre Moan [aut, cre, cph]
Maintainer: Andre Moan <andre.moan@hi.no>
Repository: CRAN
Date/Publication: 2026-05-12 18:20:07 UTC

More information about fpod at CRAN
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Package EL updated to version 1.4 with previous version 1.3 dated 2024-10-28

Title: Two-Sample Empirical Likelihood
Description: Empirical likelihood (EL) inference for two-sample problems. The following statistics are included: the difference of two-sample means, smooth Huber estimators, quantile (qdiff) and cumulative distribution functions (fdiff), probability-probability (P-P) and quantile-quantile (Q-Q) plots as well as receiver operating characteristic (ROC) curves. Also includes two-sample block-wise empirical likelihood (BEL) and a frequency-domain empirical likelihood test for autocorrelation differences (FDEL). Methods for EL, P-P, Q-Q, ROC, qdiff and fdiff are based on Valeinis and Cers (2011) <http://home.lu.lv/~valeinis/lv/petnieciba/EL_TwoSample_2011.pdf>.
Author: Janis Valeinis [aut] , Edmunds Cers [aut], Janis Gredzens [cre] , Reinis Alksnis [ctb]
Maintainer: Janis Gredzens <janis.gredzens@lu.lv>

Diff between EL versions 1.3 dated 2024-10-28 and 1.4 dated 2026-05-12

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 16 files changed, 1117 insertions(+), 905 deletions(-)

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New package easytable with initial version 2.1.1
Package: easytable
Title: Create Multi-Format Regression Tables
Version: 2.1.1
Description: Create publication-ready regression tables in multiple formats, including 'Word', 'HTML', 'LaTeX', and 'PDF', from statistical models. Supports lm() and glm() models. Includes options for marginal effects, control variable grouping, and robust standard errors using methods described in Zeileis (2004) <doi:10.18637/jss.v011.i10>. Tables can be exported to 'Word' via 'flextable' or to 'LaTeX' for 'PDF' output.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr, flextable, magrittr, stats
Suggests: knitr, kableExtra, lmtest, sandwich, margins, rmarkdown, testthat (>= 3.0.0), palmerpenguins
VignetteBuilder: knitr
URL: https://github.com/alfredo-hs/easytable
BugReports: https://github.com/alfredo-hs/easytable/issues
NeedsCompilation: no
Packaged: 2026-05-06 20:36:28 UTC; alhdzsz
Author: Alfredo Hernandez Sanchez [aut, cre]
Maintainer: Alfredo Hernandez Sanchez <alhdzsz@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-12 19:00:07 UTC

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Package dsp updated to version 1.4.0 with previous version 1.3.0 dated 2026-04-20

Title: Dynamic Shrinkage Process and Change Point Detection
Description: Provides efficient Markov chain Monte Carlo (MCMC) algorithms for dynamic shrinkage processes, which extend global-local shrinkage priors to the time series setting by allowing shrinkage to depend on its own past. These priors yield locally adaptive estimates, useful for time series and regression functions with irregular features. The package includes full MCMC implementations for trend filtering using dynamic shrinkage on signal differences, producing locally constant or linear fits with adaptive credible bands. Also included are models with static shrinkage and normal-inverse-Gamma priors for comparison. Additional tools cover dynamic regression with time-varying coefficients and B-spline models with shrinkage on basis differences, allowing for flexible curve-fitting with unequally spaced data. Some support for heteroscedastic errors, outlier detection, and change point estimation. Methods in this package are described in Kowal et al. (2019) <doi:10.1111/rssb.12325>, Wu et al. [...truncated...]
Author: Daniel R. Kowal [aut, cph], Haoxuan Wu [aut], Toryn Schafer [aut, cre] , Jason B. Cho [aut], David S. Matteson [aut]
Maintainer: Toryn Schafer <toryn27@gmail.com>

Diff between dsp versions 1.3.0 dated 2026-04-20 and 1.4.0 dated 2026-05-12

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New package dist.structure with initial version 0.5.0
Package: dist.structure
Title: Structured Random Variables for Reliability System Distributions
Version: 0.5.0
Description: Extends the 'algebraic.dist' distribution algebra to random variables with internal structure: coherent reliability systems decomposed into components arranged by a structure function (series, parallel, k-out-of-n, bridge, and arbitrary topologies via minimal path sets). Every 'dist_structure' object is a 'dist', so the full distribution algebra (mean, vcov, sampler, surv, cdf) works automatically via default methods that compose component-level distributions through the topology. Adds structural queries: structure function evaluation, minimal path and cut sets, system signature, critical states, dual, Birnbaum structural importance, and system reliability. Topology shortcut constructors (series_dist, parallel_dist, kofn_dist, bridge_dist) produce ready-to-use dists from component dists and a chosen structure.
License: MIT + file LICENSE
URL: https://github.com/queelius/dist.structure
BugReports: https://github.com/queelius/dist.structure/issues
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.1.0)
Imports: algebraic.dist, stats, utils
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, spelling, withr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-05-07 07:57:13 UTC; spinoza
Author: Alexander Towell [aut, cre]
Maintainer: Alexander Towell <lex@metafunctor.com>
Repository: CRAN
Date/Publication: 2026-05-12 18:10:02 UTC

More information about dist.structure at CRAN
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New package datamuseum with initial version 0.1.0
Package: datamuseum
Title: Spatial and Taxonomic Data Utilities for Specimen Datasets
Version: 0.1.0
Depends: R (>= 4.1.0)
Description: A management tool for specimen data ranging from public museum collections to private specimen repositories. The main types of data addressed are spatial (coordinates, longitude and latitude) and taxonomic data (ranking and nomenclature validity) with some additional options for user-determined dataset refinement. Combined or individual calls to the online repositories of the Global Biodiversity Information Facility (GBIF) via 'rgbif' and the Integrated Taxonomic Information System (ITIS) via 'taxize' enable built-in taxonomic checks.
URL: https://btorgovitsky00.github.io/datamuseum/
BugReports: https://github.com/btorgovitsky00/datamuseum/issues/
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr, stringr, rgbif, taxize, memoise, cachem, rnaturalearth, sf, furrr, future, tibble, tools, stats, utils, rlang
Suggests: R.utils, ggplot2, knitr, rmarkdown, tidyr, lubridate, googlesheets4, maps, rnaturalearthdata
LazyData: true
LazyDataCompression: xz
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-04-21 10:36:40 UTC; burai
Author: Bryson Y. Torgovitsky [aut, cre], Cheryl L. Ames [aut]
Maintainer: Bryson Y. Torgovitsky <torgovitsky.yerik.bryson.q7@dc.tohoku.ac.jp>
Repository: CRAN
Date/Publication: 2026-05-12 18:30:02 UTC

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Package caretSDM updated to version 1.8.3 with previous version 1.5 dated 2026-03-10

Title: Build Species Distribution Modeling using 'caret'
Description: Use machine learning algorithms and advanced geographic information system tools to build Species Distribution Modeling in a extensible and modern fashion.
Author: Luiz Fernando Esser [aut, cre, cph] , Reginaldo Re [aut] , Marcos R. Lima [aut] , Edivando Couto [aut] , Jose Hilario Delconte Ferreira [aut] , Valeria Batista [aut] , Dayani Bailly [aut]
Maintainer: Luiz Fernando Esser <luizesser@gmail.com>

Diff between caretSDM versions 1.5 dated 2026-03-10 and 1.8.3 dated 2026-05-12

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Package ASRgenomics updated to version 1.1.6 with previous version 1.1.5 dated 2025-08-23

Title: Complementary Genomic Functions
Description: Presents a series of molecular and genetic routines in the R environment with the aim of assisting in analytical pipelines before and after the use of 'asreml' or another library to perform analyses such as Genomic Selection or Genome-Wide Association Analyses. Methods and examples are described in Gezan, Oliveira, Galli, and Murray (2022) <https://asreml.kb.vsni.co.uk/wp-content/uploads/sites/3/ASRgenomics_Manual.pdf>.
Author: Salvador Gezan [aut, cre], Darren Murray [aut], Amanda Avelar de Oliveira [aut], Giovanni Galli [aut], VSN International [cph]
Maintainer: Salvador Gezan <salvador.gezan@vsni.co.uk>

Diff between ASRgenomics versions 1.1.5 dated 2025-08-23 and 1.1.6 dated 2026-05-12

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New package terralink with initial version 1.8.0
Package: terralink
Title: Connectivity Corridor Optimization for Raster and Vector Data
Version: 1.8.0
Description: Standalone R implementation of habitat connectivity corridor optimization for raster and vector workflows. Supports scenario-based planning with budget-constrained optimization, optional impassable areas, packaged parity fixtures, and comparative before-and-after connectivity metrics. The package exposes structural, movement-oriented, and species-oriented strategies in a reproducible workflow aligned with a companion GIS plugin while avoiding a desktop GIS dependency.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/sorus-tools/terralink-r
BugReports: https://github.com/sorus-tools/terralink-r/issues
Imports: cli, igraph, R6, sf, stars, terra
Suggests: gdistance, ggplot2, knitr, lwgeom, raster, rmarkdown, sp, shiny, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-05-06 19:05:15 UTC; benbishop
Author: Benjamin Bishop [aut, cre], SORUS Consulting LLC [fnd, cph]
Maintainer: Benjamin Bishop <benjamin.bishop@sorusconsultingllc.com>
Repository: CRAN
Date/Publication: 2026-05-12 17:50:02 UTC

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New package mrPStrata with initial version 0.1.0
Package: mrPStrata
Title: Multiply Robust Estimation in Causal Survival Analysis with Treatment Noncompliance
Version: 0.1.0
Description: Provides multiply robust estimators of principal survival causal effects among always-takers, compliers, and never-takers in studies with treatment noncompliance. The methods are based on Cheng et al. (2026) <doi:10.1214/25-AOAS2117>.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10)
Imports: dplyr, ggplot2, magrittr, progress, survival
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-05-06 16:44:20 UTC; chaocheng
Author: Chao Cheng [aut, cre], Bo Liu [aut], Fan Li [aut], Fan Li [aut]
Maintainer: Chao Cheng <chaoc@wustl.edu>
Repository: CRAN
Date/Publication: 2026-05-12 17:40:02 UTC

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New package ModalForecast with initial version 0.1.0
Package: ModalForecast
Title: Parametric Modal ARIMA Models using the SKD Family
Version: 0.1.0
Description: Implements parametric modal Autoregressive Integrated Moving Average (ARIMA) models utilizing the Skewed Distribution (SKD) family. Current distributions supported are the Skew-Normal, Skewed Student-t, and Skewed Laplace. The conditional mode is parameterized and optimized via maximum likelihood using analytical gradients. Includes comprehensive residual diagnostics, robustness options (heavy tails, asymmetry), robust parametric bootstrap prediction intervals, and classical asymptotic inference via the Fisher Information matrix. Methods are described in Galarza, C.E., Lachos, V.H., Cabral, C.R.B., & Castro, L.M. (2017) <doi:10.1002/sta4.140>.
URL: https://github.com/chedgala/ModalForecast
BugReports: https://github.com/chedgala/ModalForecast/issues
Depends: R (>= 3.5.0)
License: GPL-3
Encoding: UTF-8
Imports: stats, graphics, forecast, ggplot2, gridExtra, scales, grid
Suggests: rmarkdown, testthat (>= 3.0.0), knitr
NeedsCompilation: no
Packaged: 2026-05-06 15:02:39 UTC; chedgala
Author: Christian Galarza [aut, cre]
Maintainer: Christian Galarza <chedgala@espol.edu.ec>
Repository: CRAN
Date/Publication: 2026-05-12 17:40:07 UTC

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Package HistogramTools readmission to version 0.4.1 with previous version 0.3.2 dated 2015-07-29

Title: Utility Functions for R Histograms
Description: Provides a number of utility functions useful for manipulating large histograms. This includes methods to trim, subset, merge buckets, merge histograms, convert to CDF, and calculate information loss due to binning. It also provides a protocol buffer representation of R's native histogram class to allow histograms over large data sets to be computed and combined in distributed analytical pipelines. Implements bin-by-bin histogram distance measures described in Rubner, Tomasi and Guibas (2000) <doi:10.1023/A:1026543900054>, Swain and Ballard (1991) <doi:10.1007/BF00130487>, and Puzicha, Hofmann and Buhmann (1997) <doi:10.1109/CVPR.1997.609331>, and average shifted histograms as in Scott (2015, ISBN:9781118575536).
Author: Murray Stokely [aut, cre, cph] , Google, Inc. [cph], Tim Hesterberg [ctb]
Maintainer: Murray Stokely <murray@stokely.org>

This is a re-admission after prior archival of version 0.3.2 dated 2015-07-29

Diff between HistogramTools versions 0.3.2 dated 2015-07-29 and 0.4.1 dated 2026-05-12

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More information about HistogramTools at CRAN
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Package Rpdb updated to version 2.4.5 with previous version 2.4.4 dated 2026-03-30

Title: Read, Write, Visualize and Manipulate PDB Files
Description: Provides tools to read, write, visualize Protein Data Bank (PDB) files and perform some structural manipulations.
Author: Leonard Mada [cre, ctb], Julien Ide [aut]
Maintainer: Leonard Mada <lmada@umft.ro>

Diff between Rpdb versions 2.4.4 dated 2026-03-30 and 2.4.5 dated 2026-05-12

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Package nemsqar updated to version 1.2.0 with previous version 1.1.2 dated 2025-07-21

Title: National Emergency Medical Service Quality Alliance Measure Calculations
Description: Designed to automate the calculation of Emergency Medical Service (EMS) quality metrics, 'nemsqar' implements measures defined by the National EMS Quality Alliance (NEMSQA). By providing reliable, evidence-based quality assessments, the package supports EMS agencies, healthcare providers, and researchers in evaluating and improving patient outcomes. Users can find details on all approved NEMSQA measures at <https://www.nemsqa.org/measures>. Full technical specifications, including documentation and pseudocode used to develop 'nemsqar', are available on the NEMSQA website after creating a user profile at <https://www.nemsqa.org>.
Author: Nicolas Foss [aut, cre], Samuel Kordik [aut] , Alyssa Green [ctb], Iowa Department of Health and Human Services [cph]
Maintainer: Nicolas Foss <nicolas.foss@hhs.iowa.gov>

Diff between nemsqar versions 1.1.2 dated 2025-07-21 and 1.2.0 dated 2026-05-12

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More information about nemsqar at CRAN
Permanent link

Package RCarb updated to version 0.1.8 with previous version 0.1.7 dated 2025-07-25

Title: Dose Rate Modelling of Carbonate-Rich Samples
Description: Translation of the 'MATLAB' program 'Carb' (Nathan and Mauz 2008 <DOI:10.1016/j.radmeas.2007.12.012>; Mauz and Hoffmann 2014) for dose rate modelling for carbonate-rich samples in the context of trapped charged dating (e.g., luminescence dating) applications.
Author: Sebastian Kreutzer [aut, trl, cre, dtc] , Roger P. Nathan [aut, cph], Barbara Mauz [aut, cph]
Maintainer: Sebastian Kreutzer <sebastian.kreutzer@uni-heidelberg.de>

Diff between RCarb versions 0.1.7 dated 2025-07-25 and 0.1.8 dated 2026-05-12

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More information about RCarb at CRAN
Permanent link

Package GapAnalysis updated to version 2.0.2 with previous version 2.0.0 dated 2026-04-09

Title: Conservation Indicators Using Spatial Information
Description: Supports the assessment of the degree of conservation of taxa in conservation systems, both in ex situ (in genebanks, botanical gardens, and other repositories), and in situ (in protected natural areas). Methods are described in Carver et al. (2021) <doi:10.1111/ecog.05430>, building on Khoury et al. (2020) <doi:10.1073/pnas.2007029117>, Khoury et al. (2019) <doi:10.1016/j.ecolind.2018.11.016>, Khoury et al. (2019) <doi:10.1111/DDI.13008>, Castaneda-Alvarez et al. (2016) <doi:10.1038/nplants.2016.22>, and Ramirez-Villegas et al. (2010) <doi:10.1371/journal.pone.0013497>.
Author: Dan Carver [aut, cre, cph] , Sarah Gore [aut, cph] , Chrystian Sosa [aut, cph] , Colin Khoury [aut, cph] , Julian Ramirez-Villegas [aut, cph] , Valentin Stefan [ctb], Harold Achicanoy [ctb, cph], Maria Victoria Diaz [ctb, cph], Steven Sotelo [ctb, cp [...truncated...]
Maintainer: Dan Carver <carver.dan1@gmail.com>

Diff between GapAnalysis versions 2.0.0 dated 2026-04-09 and 2.0.2 dated 2026-05-12

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Package tidyfinance updated to version 0.5.0 with previous version 0.4.5 dated 2026-01-08

Title: Tidy Finance Helper Functions
Description: Helper functions for empirical research in financial economics, addressing a variety of topics covered in Scheuch, Voigt, and Weiss (2023) <doi:10.1201/b23237>. The package is designed to provide shortcuts for issues extensively discussed in the book, facilitating easier application of its concepts. For more information and resources related to the book, visit <https://www.tidy-finance.org/r/index.html>.
Author: Christoph Scheuch [aut, cre, cph] , Stefan Voigt [aut, cph] , Patrick Weiss [aut, cph] , Maximilian Muecke [ctb]
Maintainer: Christoph Scheuch <christoph@tidy-intelligence.com>

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Package prim updated to version 1.0.23 with previous version 1.0.22 dated 2024-11-28

Title: Patient Rule Induction Method (PRIM)
Description: Patient Rule Induction Method (PRIM) for bump hunting in high-dimensional data.
Author: Tarn Duong [aut, cre]
Maintainer: Tarn Duong <tarn.duong@gmail.com>

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Package MD2sample updated to version 1.2.1 with previous version 1.2.0 dated 2026-03-28

Title: Various Methods for the Two Sample Problem in D>1 Dimensions
Description: The routine twosample_test() in this package runs the two-sample test using various test statistic for multivariate data. The user can also run several tests and then find a p value adjusted for simultaneous inference. The p values are found via permutation or via the parametric bootstrap. The routine twosample_power() allows the estimation of the power of the tests. The routine run.studies() allows a user to quickly study the power of a new method and how it compares to those included in the package. For details of the methods and references see the included vignettes.
Author: Wolfgang Rolke [aut, cre]
Maintainer: Wolfgang Rolke <wolfgang.rolke@upr.edu>

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Package cdom updated to version 0.1.1 with previous version 0.1.0 dated 2016-03-04

Title: R Functions to Model CDOM Spectra
Description: Wrapper functions to model and extract various quantitative information from absorption spectra of chromophoric dissolved organic matter (CDOM).
Author: Philippe Massicotte [aut, cre]
Maintainer: Philippe Massicotte <pmassicotte@hotmail.com>

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Package SSBtools updated to version 1.8.7 with previous version 1.8.6 dated 2025-12-01

Title: Algorithms and Tools for Tabular Statistics and Hierarchical Computations
Description: Includes general data manipulation functions, algorithms for statistical disclosure control (Langsrud, 2024) <doi:10.1007/978-3-031-69651-0_6> and functions for hierarchical computations by sparse model matrices (Langsrud, 2023) <doi:10.32614/RJ-2023-088>.
Author: Oeyvind Langsrud [aut, cre] , Daniel Lupp [aut] , Bjoern-Helge Mevik [ctb], Vidar Norstein Klungre [rev] , Statistics Norway [cph]
Maintainer: Oeyvind Langsrud <oyl@ssb.no>

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Package parglm updated to version 0.1.9 with previous version 0.1.8 dated 2026-04-21

Title: Parallel GLM
Description: Provides a parallel estimation method for generalized linear models without compiling with a multithreaded LAPACK or BLAS.
Author: Benjamin Christoffersen [aut] , Anthony Williams [cph], Boost developers [cph], Tom Palmer [aut, cre]
Maintainer: Tom Palmer <remlapmot@hotmail.com>

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Package ggRandomForests updated to version 2.7.3 with previous version 2.7.2 dated 2026-05-02

Title: Visually Exploring Random Forests
Description: Graphic elements for exploring Random Forests using the 'randomForest' or 'randomForestSRC' package for survival, regression and classification forests and 'ggplot2' package plotting. Implements visualisations of the methods described in Breiman (2001) <doi:10.1023/A:1010933404324> and Ishwaran, Kogalur, Blackstone, and Lauer (2008) <doi:10.1214/08-AOAS169>.
Author: John Ehrlinger [aut, cre]
Maintainer: John Ehrlinger <john.ehrlinger@gmail.com>

Diff between ggRandomForests versions 2.7.2 dated 2026-05-02 and 2.7.3 dated 2026-05-12

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Package bigrquery updated to version 1.6.2 with previous version 1.6.1 dated 2025-09-10

Title: An Interface to Google's 'BigQuery' 'API'
Description: Easily talk to Google's 'BigQuery' database from R.
Author: Hadley Wickham [aut, cre] , Jennifer Bryan [aut] , Posit Software, PBC [cph, fnd]
Maintainer: Hadley Wickham <hadley@posit.co>

Diff between bigrquery versions 1.6.1 dated 2025-09-10 and 1.6.2 dated 2026-05-12

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Package tipse updated to version 2.0 with previous version 1.2 dated 2026-01-16

Title: Tipping Point Analysis for Survival Endpoints
Description: Implements tipping point sensitivity analysis for time-to-event endpoints under different missing data scenarios, as described in Oodally et al. (2025) <doi:10.48550/arXiv.2506.19988>. Supports both model-based and model-free imputation, multiple imputation workflows, plausibility assessment and visualizations. Enables robust assessment for regulatory and exploratory analyses.
Author: Ajmal Oodally [cre, aut] , Craig Wang [aut] , Zheng Li [ctb]
Maintainer: Ajmal Oodally <ajmal.oodally@novartis.com>

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Package stylo updated to version 0.7.7 with previous version 0.7.5 dated 2024-04-03

Title: Stylometric Multivariate Analyses
Description: Supervised and unsupervised multivariate methods, supplemented by GUI and some visualizations, to perform various analyses in the field of computational stylistics, authorship attribution, etc. For further reference, see Eder et al. (2016), <https://journal.r-project.org/articles/RJ-2016-007/index.html>. You are also encouraged to visit the Computational Stylistics Group's website <https://computationalstylistics.github.io/>, where a reasonable amount of information about the package and related projects are provided.
Author: Maciej Eder [aut, cre], Jan Rybicki [aut], Mike Kestemont [aut], Steffen Pielstroem [aut]
Maintainer: Maciej Eder <maciejeder@gmail.com>

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Package sdcHierarchies updated to version 0.23.1 with previous version 0.23.0 dated 2026-03-19

Title: Create and (Interactively) Modify Nested Hierarchies
Description: Provides functionality to generate, (interactively) modify (by adding, removing and renaming nodes) and convert nested hierarchies between different formats. These tree like structures can be used to define for example complex hierarchical tables used for statistical disclosure control.
Author: Bernhard Meindl [aut, cre]
Maintainer: Bernhard Meindl <bernhard.meindl@statistik.gv.at>

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Package rswipl updated to version 10.1.7 with previous version 10.1.6 dated 2026-04-26

Title: Embed 'SWI'-'Prolog'
Description: Interface to 'SWI'-'Prolog', <https://www.swi-prolog.org/>. This package is normally not loaded directly, please refer to package 'rolog' instead. The purpose of this package is to provide the 'Prolog' runtime on systems that do not have a software installation of 'SWI'-'Prolog'.
Author: Matthias Gondan [aut, com, cre] , Jan Wielemaker [ctb, cph] , European Commission [fnd]
Maintainer: Matthias Gondan <Matthias.Gondan-Rochon@uibk.ac.at>

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Package PowRPriori updated to version 0.2.0 with previous version 0.1.2 dated 2026-01-28

Title: Power Analysis via Data Simulation for (Generalized) Linear Mixed Effects Models
Description: Conduct a priori power analyses via Monte-Carlo style data simulation for linear and generalized linear mixed-effects models (LMMs/GLMMs). Provides a user-friendly workflow with helper functions to easily define fixed and random effects as well as diagnostic functions to evaluate the adequacy of the results of the power analysis.
Author: Markus Grill [aut, cre]
Maintainer: Markus Grill <markus.grill@uni-wh.de>

Diff between PowRPriori versions 0.1.2 dated 2026-01-28 and 0.2.0 dated 2026-05-12

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Package ggmatplot updated to version 0.1.3 with previous version 0.1.2.1 dated 2026-02-17

Title: Plot Columns of Two Matrices Against Each Other Using 'ggplot2'
Description: A quick and easy way of plotting the columns of two matrices or data frames against each other using 'ggplot2'. Although 'ggmatplot' doesn't provide the same flexibility as 'ggplot2', it can be used as a workaround for having to wrangle wide format data into long format for plotting with 'ggplot2'.
Author: Xuan Liang [aut, cre] , Francis K. C. Hui [aut] , Emi Tanaka [aut] , Dilinie Seimon [aut]
Maintainer: Xuan Liang <xuan.liang@anu.edu.au>

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Package timeperiodsR updated to version 0.7.7 with previous version 0.7.5 dated 2026-04-16

Title: Simple Definition Of Time Intervals
Description: Simple definition of time intervals for the current, previous, and next week, month, quarter and year.
Author: Alexey Seleznev [aut, cre]
Maintainer: Alexey Seleznev <selesnow@gmail.com>

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Package ILORA updated to version 0.1.2 with previous version 0.1.1 dated 2026-04-25

Title: Indian Alien Flora Information Database Retrieval
Description: The Indian Alien Flora Information (ILORA) database contains 14 invasion-relevant variables for 1388 alien plant species in India. The package enables exploration of the database using user-defined criteria. Using this package, users can retrieve variable-specific and species-level data from the database. The package also supports exploratory data analysis and visualization to give users an idea of the variables of interest. Further details about the database are available at <https://iloradb.wixsite.com/alienflora>.
Author: Ruqaiya Shaikh [aut, cre], Achyut Kumar Banerjee [aut], Abhishek Mukherjee [aut], Amiya Ranjan Bhowmick [aut]
Maintainer: Ruqaiya Shaikh <ruqaiyashaikh41@gmail.com>

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Package freestiler updated to version 0.1.7 with previous version 0.1.6 dated 2026-04-21

Title: Create Vector Tiles from Spatial Data
Description: Create vector tile archives in 'PMTiles' format from 'sf' spatial data frames. Supports 'Mapbox Vector Tile' ('MVT') and 'MapLibre Tile' ('MLT') output formats. Uses a 'Rust' backend via 'extendr' for fast, in-memory tiling with zero external system dependencies.
Author: Kyle Walker [aut, cre]
Maintainer: Kyle Walker <kyle@walker-data.com>

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Package factorana updated to version 1.3.4 with previous version 1.2.0 dated 2026-04-22

Title: Factor Model Estimation with Latent Variables
Description: A flexible framework for estimating factor models with multiple latent variables. Supports linear, probit, ordered probit, and multinomial logit model components. Features include multi-stage estimation, automatic parameter initialization, analytical gradients and Hessians, and parallel estimation. Methods are described in Heckman, Humphries, and Veramendi (2016) <doi:10.1016/j.jeconom.2015.12.001>, Heckman, Humphries, and Veramendi (2018) <doi:10.1086/698760>, and Humphries, Joensen, and Veramendi (2024) <doi:10.1257/pandp.20241026>.
Author: Greg Veramendi [aut, cre], Jess Xiong [aut]
Maintainer: Greg Veramendi <greg.veramendi@gmail.com>

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Package neo4r updated to version 0.1.4 with previous version 0.1.1 dated 2019-02-15

Title: A 'Neo4J' Driver
Description: A Modern and Flexible 'Neo4J' Driver, allowing you to query data on a 'Neo4J' server and handle the results in R. It's modern in the sense it provides a driver that can be easily integrated in a data analysis workflow, especially by providing an API working smoothly with other data analysis and graph packages. It's flexible in the way it returns the results, by trying to stay as close as possible to the way 'Neo4J' returns data. That way, you have the control over the way you will compute the results. At the same time, the result is not too complex, so that the "heavy lifting" of data wrangling is not left to the user.
Author: Colin Fay [cre, aut] , ThinkR [cph], Neo4J [spn]
Maintainer: Colin Fay <contact@colinfay.me>

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Package caRamel updated to version 1.5 with previous version 1.4 dated 2024-07-29

Title: Automatic Calibration by Evolutionary Multi Objective Algorithm
Description: The caRamel optimizer has been developed to meet the requirement for an automatic calibration procedure that delivers a family of parameter sets that are optimal with regard to a multi-objective target (Monteil et al. <doi:10.5194/hess-24-3189-2020>).
Author: Nicolas Le Moine [aut], Celine Monteil [aut], Frederic Hendrickx [ctb], Fabrice Zaoui [aut, cre], Alban de Lavenne [ctb]
Maintainer: Fabrice Zaoui <fabrice.zaoui@edf.fr>

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Package basksim updated to version 2.2.0 with previous version 2.1.0 dated 2026-03-03

Title: Simulation-Based Calculation of Basket Trial Operating Characteristics
Description: Provides a unified syntax for the simulation-based comparison of different single-stage basket trial designs with a binary endpoint and equal sample sizes in all baskets. Methods include the designs by Baumann et al. (2025) <doi:10.1080/19466315.2024.2402275>, Schmitt and Baumann (2025) <doi:10.1080/19466315.2025.2486231>, Fujikawa et al. (2020) <doi:10.1002/bimj.201800404>, Berry et al. (2020) <doi:10.1177/1740774513497539>, and Neuenschwander et al. (2016) <doi:10.1002/pst.1730>. For the latter two designs, the functions are mostly wrappers for functions provided by the package 'bhmbasket'.
Author: Lukas Baumann [aut, cre] , Lukas D Sauer [aut] , Sabrina Schmitt [aut]
Maintainer: Lukas Baumann <baumann@imbi.uni-heidelberg.de>

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Package fastText updated to version 1.0.8 with previous version 1.0.7 dated 2026-02-20

Title: Efficient Learning of Word Representations and Sentence Classification
Description: An interface to the 'fastText' <https://github.com/facebookresearch/fastText> library for efficient learning of word representations and sentence classification. The 'fastText' algorithm is explained in detail in (i) "Enriching Word Vectors with subword Information", Piotr Bojanowski, Edouard Grave, Armand Joulin, Tomas Mikolov, 2017, <doi:10.1162/tacl_a_00051>; (ii) "Bag of Tricks for Efficient Text Classification", Armand Joulin, Edouard Grave, Piotr Bojanowski, Tomas Mikolov, 2017, <doi:10.18653/v1/e17-2068>; (iii) "FastText.zip: Compressing text classification models", Armand Joulin, Edouard Grave, Piotr Bojanowski, Matthijs Douze, Herve Jegou, Tomas Mikolov, 2016, <doi:10.48550/arXiv.1612.03651>.
Author: Lampros Mouselimis [aut, cre] , Facebook Inc [cph]
Maintainer: Lampros Mouselimis <mouselimislampros@gmail.com>

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Package s2dv updated to version 2.3.0 with previous version 2.2.1 dated 2025-11-03

Title: Seasonal to Decadal Verification
Description: An advanced version of package 's2dverification'. Intended for seasonal to decadal (s2d) climate forecast verification, but also applicable to other types of forecasts or general climate analysis. This package is specifically designed for comparing experimental and observational datasets. It provides functionality for data retrieval, post-processing, skill score computation against observations, and visualization. Compared to 's2dverification', 's2dv' is more compatible with the package 'startR', able to use multiple cores for computation and handle multi-dimensional arrays with a higher flexibility. The Climate Data Operators (CDO) version used in development is 1.9.8. Implements methods described in Wilks (2011) <doi:10.1016/B978-0-12-385022-5.00008-7>, DelSole and Tippett (2016) <doi:10.1175/MWR-D-15-0218.1>, Kharin et al. (2012) <doi:10.1029/2012GL052647>, Doblas-Reyes et al. (2003) <doi:10.1007/s00382-003-0350-4>.
Author: BSC-CNS [aut, cph], An-Chi Ho [aut], Nuria Perez-Zanon [aut], Roberto Bilbao [ctb], Josep Cos [ctb], Carlos Delgado [ctb], Llorenc Lledo [ctb], Andrea Manrique [ctb], Deborah Verfaillie [ctb], Eva Rifa [ctb], Victoria Agudetse [ctb], Nadia Milders [c [...truncated...]
Maintainer: Ariadna Batalla <ariadna.batalla@bsc.es>

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Package routing updated to version 1.1.0 with previous version 1.0.0 dated 2026-04-27

Title: 'Express.js' Like Routing for R Web Frameworks
Description: It aims to provide R web frameworks a routing mechanism of HTTP requests inspired by the battle tested 'Express.js' web framework.
Author: Julio Collazos [aut, cre] , router contributors [ctb, cph]
Maintainer: Julio Collazos <amarullazo626@gmail.com>

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Package piecepackr updated to version 1.16.1 with previous version 1.15.3 dated 2025-10-16

Title: Board Game Graphics
Description: Functions to make board game graphics with the 'ggplot2', 'grid', 'rayrender', 'rayvertex', and 'rgl' packages. Specializes in game diagrams, animations, and "Print & Play" layouts for the 'piecepack' <https://www.ludism.org/ppwiki> but can make graphics for other board game systems. Includes configurations for several public domain game systems such as checkers, (double-18) dominoes, go, 'piecepack', playing cards, etc.
Author: Trevor L. Davis [aut, cre] , Linux Foundation [dtc] , Delapouite <https://delapouite.com/> [ill] , Creative Commons [ill] ` uses "license badges" from Creative Commons to describe the generated print-and-play file's license)
Maintainer: Trevor L. Davis <trevor.l.davis@gmail.com>

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Package ICCbin updated to version 1.2.0 with previous version 1.1.1 dated 2017-11-13

Title: Facilitates Clustered Binary Data Generation, and Estimation of Intracluster Correlation Coefficient (ICC) for Binary Data
Description: Assists in generating binary clustered data, estimates of Intracluster Correlation coefficient (ICC) for binary response in 16 different methods, and 5 different types of confidence intervals.
Author: Akhtar Hossain [aut, cre], Hrishikesh Chakraborty [aut]
Maintainer: Akhtar Hossain <ahossain@live.com>

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Package hdnom updated to version 6.2.0 with previous version 6.1.0 dated 2025-06-09

Title: Benchmarking and Visualization Toolkit for Penalized Cox Models
Description: Creates nomogram visualizations for penalized Cox regression models, with the support of reproducible survival model building, validation, calibration, and comparison for high-dimensional data.
Author: Nan Xiao [aut, cre] , Qing-Song Xu [aut], Miao-Zhu Li [aut], Frank Harrell [ctb] , Sergej Potapov [ctb] , Werner Adler [ctb] , Matthias Schmid [ctb]
Maintainer: Nan Xiao <me@nanx.me>

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Package ExtremeRisks updated to version 0.0.6 with previous version 0.0.5 dated 2025-10-09

Title: Extreme Risk Measures
Description: A set of procedures for estimating risks related to extreme events via risk measures such as Expectile, Value-at-Risk, etc. is provided. Estimation methods for univariate independent observations and temporal dependent observations are available. The methodology is extended to the case of independent multidimensional observations. The statistical inference is performed through parametric and non-parametric estimators. Inferential procedures such as confidence intervals, confidence regions and hypothesis testing are obtained by exploiting the asymptotic theory. Adapts the methodologies derived in Padoan and Stupfler (2022) <doi:10.3150/21-BEJ1375>, Davison et al. (2023) <doi:10.1080/07350015.2022.2078332>, Daouia et al. (2018) <doi:10.1111/rssb.12254>, Drees (2000) <doi:10.1214/aoap/1019487617>, Drees (2003) <doi:10.3150/bj/1066223272>, de Haan and Ferreira (2006) <doi:10.1007/0-387-34471-3>, de Haan et al. (2016) <doi:10.1007/s00780-015-0287-6> [...truncated...]
Author: Simone Padoan [cre, aut], Gilles Stupfler [aut], Carlotta Pacifici [aut]
Maintainer: Simone Padoan <simone.padoan@unibocconi.it>

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Package dsem updated to version 2.0.0 with previous version 1.7.0 dated 2025-09-15

Title: Dynamic Structural Equation Models
Description: Applies dynamic structural equation models to time-series data with generic and simplified specification for simultaneous and lagged effects. Methods are described in Thorson et al. (2024) "Dynamic structural equation models synthesize ecosystem dynamics constrained by ecological mechanisms."
Author: James Thorson [aut, cre] , Maurice Goodman [ctb] , Wouter van der Bijl [ctb] , Giovanni M. Marchetti [ctr]
Maintainer: James Thorson <James.Thorson@noaa.gov>

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More information about dsem at CRAN
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Package accessibility updated to version 1.5.0 with previous version 1.4.0 dated 2024-03-06

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

Diff between accessibility versions 1.4.0 dated 2024-03-06 and 1.5.0 dated 2026-05-12

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 accessibility-1.5.0/accessibility/LICENSE                                                     |    4 
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 accessibility-1.5.0/accessibility/R/spatial_availability.R                                    |  345 +-
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 accessibility-1.5.0/accessibility/README.md                                                   |  321 +-
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 accessibility-1.5.0/accessibility/tests/testthat/test-decay_binary.R                          |  122 
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 accessibility-1.5.0/accessibility/tests/testthat/test-fgt_poverty.R                           |  414 +-
 accessibility-1.5.0/accessibility/tests/testthat/test-floating_catchment_area.R               |  641 ++--
 accessibility-1.5.0/accessibility/tests/testthat/test-gini_index.R                            |  346 +-
 accessibility-1.5.0/accessibility/tests/testthat/test-gravity.R                               |  646 ++--
 accessibility-1.5.0/accessibility/tests/testthat/test-palma_ratio.R                           |  598 ++--
 accessibility-1.5.0/accessibility/tests/testthat/test-spatial_availability.R                  |  684 ++--
 accessibility-1.5.0/accessibility/tests/testthat/test-theil_t.R                               |  908 +++---
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 130 files changed, 15660 insertions(+), 15012 deletions(-)

More information about accessibility at CRAN
Permanent link


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