Fri, 29 May 2026

Package SpaTopic updated to version 1.3.1 with previous version 1.2.0 dated 2025-03-03

Title: Topic Inference to Identify Tissue Architecture in Multiplexed Images
Description: A novel spatial topic model to integrate both cell type and spatial information to identify the complex spatial tissue architecture on multiplexed tissue images without human intervention. The Package implements a collapsed Gibbs sampling algorithm for inference. The method is highly scalable to large-scale image datasets without extracting neighborhood information for every single cell. The package supports spatially resolved cell-level data analysis, topic inference, visualization, and downstream biological interpretation of tissue microenvironments.
Author: Xiyu Peng [aut, cre] , Nikki Xiao [aut]
Maintainer: Xiyu Peng <pansypeng124@gmail.com>

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Package lsirm12pl updated to version 2.0.2 with previous version 2.0.1 dated 2026-05-04

Title: Latent Space Item Response Model
Description: Analysis of dichotomous, ordinal, and continuous response data using latent space item response model ('LSIRM'). Provides 1PL and 2PL 'LSIRM' for binary response data as described in Jeon et al. (2021) <doi:10.1007/s11336-021-09762-5>, graded response models ('GRM') for ordinal data (De Carolis et al., 2025, <doi:10.1080/00273171.2025.2605678>), and extensions for continuous response data. Supports Bayesian model selection with spike-and-slab priors, adaptive MCMC algorithms, and methods for handling missing data under missing at random ('MAR') and missing completely at random ('MCAR') assumptions. Provides various diagnostic plots to inspect the latent space and summaries of estimated parameters.
Author: Dongyoung Go [aut], Gwanghee Kim [aut, cre], Jina Park [aut], Ickhoon Jin [ctb], Minjeong Jeon [ctb]
Maintainer: Gwanghee Kim <musagh08@yonsei.ac.kr>

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Package flownet updated to version 0.3.0 with previous version 0.2.2 dated 2026-03-22

Title: Transport Modeling: Network Processing, Route Enumeration, and Traffic Assignment
Description: High-performance tools for transport modeling - network processing, route enumeration, and traffic assignment in R. The package implements the Path-Sized Logit model for traffic assignment - Ben-Akiva and Bierlaire (1999) <doi:10.1007/978-1-4615-5203-1_2> - an efficient route enumeration algorithm, and provides powerful utility functions for (multimodal) network generation, consolidation/contraction, and/or simplification. The user is expected to provide a transport network (either a graph or collection of linestrings) and an origin-destination (OD) matrix of trade/traffic flows. Maintained by transport consultants at CPCS (cpcs.ca).
Author: Sebastian Krantz [aut, cre], Kamol Roy [ctb]
Maintainer: Sebastian Krantz <sebastian.krantz@graduateinstitute.ch>

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Package CompositionalNAimp updated to version 1.1 with previous version 1.0 dated 2026-03-31

Title: Missing Value Imputation with Compositional Data
Description: Functions to perform missing value imputation with compositional data using the Jensen-Shannon divergence based k--NN and a--k--NN algorithms. The functions are based on the following paper: Tsagris M., Alenazi A. and Stewart C. (2026). "A Jensen--Shannon divergence based k--NN algorithm for missing value imputation in compositional data", <doi:10.1080/02664763.2026.2677908>.
Author: Michail Tsagris [aut, cre]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>

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Package sstvars updated to version 1.2.4 with previous version 1.2.3 dated 2026-01-26

Title: Toolkit for Reduced Form and Structural Smooth Transition Vector Autoregressive Models
Description: Penalized and non-penalized maximum likelihood estimation of smooth transition vector autoregressive models with various types of transition weight functions, conditional distributions, and identification methods. Constrained estimation with various types of constraints is available. Residual based model diagnostics, forecasting, simulations, counterfactual analysis, and computation of impulse response functions, generalized impulse response functions, generalized forecast error variance decompositions, as well as historical decompositions. See Heather Anderson, Farshid Vahid (1998) <doi:10.1016/S0304-4076(97)00076-6>, Helmut Lütkepohl, Aleksei Netšunajev (2017) <doi:10.1016/j.jedc.2017.09.001>, Markku Lanne, Savi Virolainen (2025) <doi:10.1016/j.jedc.2025.105162>, Savi Virolainen (in press) <doi:10.1080/07474938.2026.2673986>.
Author: Savi Virolainen [aut, cre]
Maintainer: Savi Virolainen <savi.virolainen@helsinki.fi>

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Package percentiles updated to version 0.3.0 with previous version 0.2.3 dated 2026-04-03

Title: Calculate (Stratified) Percentiles
Description: Calculate (stratified) percentiles on a data.frame Stratification will split the data.frame into subgroups and calculate percentiles for each independently.
Author: Dr Peter Amin Marquardt [aut, cre]
Maintainer: Dr Peter Amin Marquardt <peter@kmarquardt.de>

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Package mvtnorm updated to version 1.4-0 with previous version 1.3-7 dated 2026-04-15

Title: Multivariate Normal and t Distributions
Description: Computes multivariate normal and t probabilities, quantiles, random deviates, and densities. Log-likelihoods for multivariate Gaussian models and Gaussian copulae parameterised by Cholesky factors of covariance or precision matrices are implemented for interval-censored and exact data, or a mix thereof. Score functions for these log-likelihoods are available. A class representing multiple lower triangular matrices and corresponding methods are part of this package.
Author: Alan Genz [aut], Frank Bretz [aut], Tetsuhisa Miwa [aut], Xuefei Mi [aut], Friedrich Leisch [ctb], Fabian Scheipl [ctb], Bjoern Bornkamp [ctb] , Martin Maechler [ctb] , Torsten Hothorn [aut, cre]
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

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Package gh updated to version 1.6.0 with previous version 1.5.0 dated 2025-05-26

Title: 'GitHub' 'API'
Description: Minimal client to access the 'GitHub' 'API'.
Author: Gabor Csardi [cre, ctb], Jennifer Bryan [aut], Hadley Wickham [aut], Posit Software, PBC [cph, fnd]
Maintainer: Gabor Csardi <csardi.gabor@gmail.com>

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Package estar updated to version 2.0-0 with previous version 1.0-1 dated 2025-11-28

Title: Ecological Stability Metrics
Description: Standardises and facilitates the use of eleven established stability properties that have been used to assess systems’ responses to press or pulse disturbances at different ecological levels (e.g. population, community). There are two sets of functions. The first set corresponds to functions that measure stability at any level of organisation, from individual to community and can be applied to a time series of a system’s state variables (e.g., body mass, population abundance, or species diversity). The properties included in this set are: invariability, resistance, extent and rate of recovery, persistence, and overall ecological vulnerability. The second set of functions can be applied to Jacobian matrices. The functions in this set measure the stability of a community at short and long time scales. In the short term, the community’s response is measured by maximal amplification, reactivity and initial resilience (i.e. initial rate of return to equilibrium). In the long term, stability [...truncated...]
Author: Ludmilla Figueiredo [aut, cre] , Viktoriia Radchuk [aut] , Cedric Scherer [ctb]
Maintainer: Ludmilla Figueiredo <ludmilla.figueiredo@protonmail.com>

Diff between estar versions 1.0-1 dated 2025-11-28 and 2.0-0 dated 2026-05-29

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 R/init_resil.R                                |   76 -
 R/max_amp.R                                   |  108 -
 R/oev.R                                       |  244 ++--
 R/reactivity.R                                |   94 -
 R/recovery_extent.R                           |    2 
 R/recovery_rate.R                             |   25 
 R/resistance.R                                |  508 ++++-----
 R/stoch_var.R                                 |   86 -
 README.md                                     |    2 
 inst/doc/functional_stability_properties.R    |   20 
 inst/doc/functional_stability_properties.Rmd  | 1406 +++++++++++++-------------
 inst/doc/functional_stability_properties.html |  165 +--
 inst/doc/jacobian_stability_properties.R      |   45 
 inst/doc/jacobian_stability_properties.Rmd    |  986 +++++++++---------
 inst/doc/jacobian_stability_properties.html   |  622 +++++------
 man/asympt_resil.Rd                           |  300 ++---
 man/extractB.Rd                               |  282 ++---
 man/figures/hex_sticker.png                   |binary
 man/max_amp.Rd                                |  328 +++---
 man/oev.Rd                                    |  290 ++---
 man/recovery_rate.Rd                          |   24 
 man/resistance.Rd                             |  432 +++----
 vignettes/MARSS_example_vignette.R            |only
 vignettes/figures/B_matrix.png                |only
 vignettes/functional_stability_properties.Rmd | 1406 +++++++++++++-------------
 vignettes/jacobian_stability_properties.Rmd   |  986 +++++++++---------
 vignettes/performance_analysis.R              | 1006 +++++++++---------
 vignettes/references.bib                      |  256 ++--
 35 files changed, 5058 insertions(+), 4969 deletions(-)

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Package stevetemplates updated to version 1.3.0 with previous version 1.1.0 dated 2025-02-07

Title: Steve's R Markdown Templates
Description: These are my collection of 'R Markdown' templates, mostly for compilation to PDF. These are useful for all things academic and professional, if you are using 'R Markdown' for things like your CV or your articles and manuscripts.
Author: Steven Miller [aut, cre]
Maintainer: Steven Miller <steve@svmiller.com>

Diff between stevetemplates versions 1.1.0 dated 2025-02-07 and 1.3.0 dated 2026-05-29

 DESCRIPTION                                                    |   11 
 MD5                                                            |   74 ++---
 NEWS.md                                                        |   11 
 R/article.R                                                    |    2 
 R/article2.R                                                   |    2 
 R/article3.R                                                   |    2 
 R/beamer.R                                                     |    2 
 R/cover_letter.R                                               |    5 
 R/cv.R                                                         |    2 
 R/cv2.R                                                        |    2 
 R/memo.R                                                       |    2 
 R/resume.R                                                     |    2 
 R/syllabus.R                                                   |    4 
 README.md                                                      |  145 +++++-----
 inst/rmarkdown/templates/anonms/resources/template.tex         |   43 ++
 inst/rmarkdown/templates/article/resources/template.tex        |   41 ++
 inst/rmarkdown/templates/article2/resources/template.tex       |   83 ++++-
 inst/rmarkdown/templates/article3/resources/template.tex       |   88 ++++--
 inst/rmarkdown/templates/beamer/resources/template.tex         |   43 ++
 inst/rmarkdown/templates/cover_letter/resources/template.tex   |   61 +++-
 inst/rmarkdown/templates/cv/resources/template.tex             |   44 ++-
 inst/rmarkdown/templates/cv2/resources/template.tex            |   46 ++-
 inst/rmarkdown/templates/ekohist_thesis/resources/template.tex |   46 ++-
 inst/rmarkdown/templates/memo/resources/template.tex           |   61 +++-
 inst/rmarkdown/templates/resume/resources/template.tex         |   52 ++-
 inst/rmarkdown/templates/statement/resources/template.tex      |   62 +++-
 inst/rmarkdown/templates/syllabus/resources/template.tex       |   41 ++
 inst/rmarkdown/templates/syllabus2/resources/template.tex      |   47 ++-
 man/article.Rd                                                 |    2 
 man/article2.Rd                                                |    2 
 man/article3.Rd                                                |    2 
 man/beamer.Rd                                                  |    2 
 man/cover_letter.Rd                                            |    5 
 man/cv.Rd                                                      |    2 
 man/cv2.Rd                                                     |    2 
 man/memo.Rd                                                    |    2 
 man/resume.Rd                                                  |    2 
 man/syllabus.Rd                                                |    4 
 38 files changed, 752 insertions(+), 297 deletions(-)

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New package LangevinFlow with initial version 0.1.0
Package: LangevinFlow
Title: Langevin Diffusion Samplers with a C++ Backend
Version: 0.1.0
Description: Provides lightweight, dependency-minimal implementations of Langevin diffusion based Markov chain Monte Carlo samplers, including the Unadjusted Langevin Algorithm (ULA) and the Metropolis-Adjusted Langevin Algorithm (MALA). The core sampling loops are written in C++ via 'Rcpp' and 'RcppArmadillo' for performance, while exposing a simple R-level interface where the user supplies the gradient of the negative log-density (and, for MALA, the negative log-density itself). Intended as a building block for Bayesian inference and stochastic optimization rather than a full probabilistic programming framework. Methods follow Roberts and Tweedie (1996) <doi:10.2307/3318418> and Roberts and Rosenthal (1998) <doi:10.1111/1467-9868.00123>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: Rcpp (>= 1.0.0), stats, graphics
LinkingTo: Rcpp, RcppArmadillo
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, covr
VignetteBuilder: knitr
URL: https://github.com/BehroozMoosavi/LangevinFlow
BugReports: https://github.com/BehroozMoosavi/LangevinFlow/issues
NeedsCompilation: yes
Packaged: 2026-05-26 20:57:48 UTC; behroozmoosavi
Author: Behrooz Moosavi [aut, cre]
Maintainer: Behrooz Moosavi <bem159@pitt.edu>
Repository: CRAN
Date/Publication: 2026-05-29 12:30:03 UTC

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New package ElicitationWizard with initial version 0.1.0
Package: ElicitationWizard
Title: LLM-Based Bayesian Prior Elicitation Wizard
Version: 0.1.0
Date: 2026-05-18
Description: 'Shiny' application for eliciting Bayesian prior distributions using large language models (LLMs). Supports multiple LLM experts, linear opinion pooling, and the Delphi method for iterative consensus. For more details see J. R. Falconer et al. (2022) <doi:10.1287/deca.2022.0451> and D. Selby et al. (2025) <doi:10.1002/sta4.70054>.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/JefferyAyiti/Automated_Elicitation
BugReports: https://github.com/JefferyAyiti/Automated_Elicitation/issues
Imports: shiny, bslib, ellmer, future, promises, shinyjs, commonmark
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, pak
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-05-26 20:38:28 UTC; griff
Author: Jeffery A. Kportufe [aut, cre]
Maintainer: Jeffery A. Kportufe <ayitikpo@rptu.de>
Repository: CRAN
Date/Publication: 2026-05-29 12:30:08 UTC

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New package climniche with initial version 0.0.1
Package: climniche
Title: Niche Climate Exposure
Version: 0.0.1
Description: Assesses niche climate exposure by interpreting projected climate change relative to the climate conditions a species currently occupies. Using occurrence records, range data or thresholded SDM suitability maps, current environmental rasters and future projections, the package separates climate change amount, change in distance to the current niche centre, composition change and exceedance beyond an empirical niche boundary.
License: GPL (>= 3)
URL: https://github.com/Bohao0813/climniche, https://bohao0813.github.io/climniche/
BugReports: https://github.com/Bohao0813/climniche/issues
Encoding: UTF-8
Imports: grid, methods
Suggests: ggplot2, knitr, patchwork, raster, rmarkdown, terra
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-05-26 13:11:44 UTC; Bohao He
Author: Bohao He [aut, cre]
Maintainer: Bohao He <bohao.he@polimi.it>
Repository: CRAN
Date/Publication: 2026-05-29 12:20:02 UTC

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New package okBATHTUB with initial version 0.1.10
Package: okBATHTUB
Title: Empirical Reservoir Eutrophication Modelling with Oklahoma Calibration
Version: 0.1.10
Description: Empirical reservoir water quality modelling using Walker's 'BATHTUB' Model 1 (second-order available-phosphorus sedimentation) from Walker (1985) <https://hdl.handle.net/11681/13884> and Walker (1996) <https://hdl.handle.net/11681/4353> as the default retention model. The Vollenweider (1976) hydraulic- residence form and the equivalent formulation of Larsen and Mercier (1976) are available as alternatives. Predicts in-lake total phosphorus, total nitrogen, chlorophyll-a, and Secchi depth from tributary nutrient and hydraulic loading inputs, and computes Carlson (1977) <doi:10.4319/lo.1977.22.2.0361> Trophic State Indices. Optional Oklahoma-specific chlorophyll and Secchi regression coefficients are provided, calibrated from publicly available state lake monitoring data. Supports single-segment and multi-segment reservoir configurations and load-reduction scenario analysis. Designed to complement watershed loading models such as the Soil and Water Assessment Tool ('SWA [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: utils
Suggests: ggplot2 (>= 3.4.0), dplyr (>= 1.1.0), tidyr (>= 1.3.0), stringr (>= 1.5.0), knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
LazyData: true
URL: https://0011235813.github.io/Oklahoma-BATHTUB/, https://github.com/0011235813/Oklahoma-BATHTUB
BugReports: https://github.com/0011235813/Oklahoma-BATHTUB/issues
NeedsCompilation: no
Packaged: 2026-05-23 15:22:21 UTC; 364483
Author: Jordon Henderson [aut, cre, cph]
Maintainer: Jordon Henderson <jordon.henderson@owrb.ok.gov>
Repository: CRAN
Date/Publication: 2026-05-29 11:30:02 UTC

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New package inequantiles with initial version 0.1.0
Package: inequantiles
Title: Quantile-Based Inequality Indicators for Complex Survey Data
Version: 0.1.0
Description: Estimates quantile-based inequality indicators from complex survey data, including the quantile ratio index (QRI), quintile share Ratio (QSR), Palma ratio, and percentile ratios, together with the Gini coefficient. Influence functions are provided for linearization and variance estimation, along with a rescaled bootstrap for complex sampling designs. Estimation from grouped data is also supported. See Scarpa et al. (2025) <doi:10.1093/jssam/smaf024> for details.
License: MIT + file LICENSE
URL: https://silviascarpa.github.io/inequantiles/, https://github.com/silviascarpa/inequantiles/
BugReports: https://github.com/silviascarpa/inequantiles/issues/
Encoding: UTF-8
Language: en-US
Depends: R (>= 3.5)
LazyData: true
Imports: Rdpack
Suggests: knitr, rmarkdown, ggplot2, scales, kableExtra, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-05-26 12:52:36 UTC; scarp
Author: Silvia Scarpa [aut, cre, cph] , Stefan Sperlich [aut]
Maintainer: Silvia Scarpa <silvia.scarpa@unimore.it>
Repository: CRAN
Date/Publication: 2026-05-29 12:00:02 UTC

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Package geobounds updated to version 0.1.2 with previous version 0.1.1 dated 2026-03-24

Title: Download Administrative Boundary Data from 'geoBoundaries'
Description: Tools for downloading administrative boundary data from 'geoBoundaries' <https://www.geoboundaries.org/> across multiple administrative levels. Boundary data are returned as 'sf' objects for mapping and spatial analysis. See Runfola, D. et al. (2020) "geoBoundaries: A global database of political administrative boundaries." PLOS ONE 15(4), e0231866. <doi:10.1371/journal.pone.0231866>.
Author: Diego Hernangomez [aut, cre, cph] , William and Mary geoLab [cph]
Maintainer: Diego Hernangomez <diego.hernangomezherrero@gmail.com>

Diff between geobounds versions 0.1.1 dated 2026-03-24 and 0.1.2 dated 2026-05-29

 DESCRIPTION                              |   21 +-
 MD5                                      |   82 +++----
 NAMESPACE                                |   36 +--
 NEWS.md                                  |   59 +++--
 R/gb-cache.R                             |  201 +++++++++----------
 R/gb-get-adm.R                           |   52 ++--
 R/gb-get-max-lvl.R                       |   13 -
 R/gb-get-metadata.R                      |  164 ++++++---------
 R/gb-get-world.R                         |   46 +---
 R/gb-get.R                               |  154 +++++---------
 R/utils.R                                |  145 ++++++++++---
 README.md                                |  104 +++++----
 build/partial.rdb                        |binary
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 inst/COPYRIGHTS                          |  130 ++++++------
 inst/REFERENCES.bib                      |   38 +--
 inst/WORDLIST                            |   63 +++---
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 inst/schemaorg.json                      |   10 
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 man/gb_detect_cache_dir.Rd               |   59 ++---
 man/gb_get.Rd                            |  250 +++++++++++------------
 man/gb_get_adm.Rd                        |  325 +++++++++++++++----------------
 man/gb_get_max_adm_lvl.Rd                |  115 +++++-----
 man/gb_get_metadata.Rd                   |  244 +++++++++++------------
 man/gb_get_world.Rd                      |  175 ++++++++--------
 man/gb_set_cache_dir.Rd                  |  161 +++++++--------
 man/geobounds-package.Rd                 |   67 +++---
 tests/testthat/_snaps/gb-get-metadata.md |    6 
 tests/testthat/_snaps/gb-get-world.md    |    2 
 tests/testthat/_snaps/gb-get.md          |    8 
 tests/testthat/_snaps/utils.md           |   12 -
 tests/testthat/test-gb-get-metadata.R    |   34 ---
 tests/testthat/test-gb-get-world.R       |    4 
 tests/testthat/test-utils.R              |  129 +++++-------
 vignettes/REFERENCES.bib                 |   38 +--
 vignettes/cgaz-1.png                     |binary
 vignettes/geobounds.qmd                  |  163 ++++++++-------
 vignettes/intersect-1.png                |binary
 42 files changed, 1802 insertions(+), 1832 deletions(-)

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New package EraBrewer with initial version 0.2.0
Package: EraBrewer
Title: Color Palettes from the Album Covers of Each Taylor Swift Era
Version: 0.2.0
URL: https://s-m.ac/EraBrewer/, https://github.com/mathias-sm/EraBrewer
BugReports: https://github.com/mathias-sm/EraBrewer/issues
Description: Provides discrete and continuous color palettes derived from the album cover artwork of each Taylor Swift Era. Each palette ships with a curated order-of-use so that smaller discrete subsets remain harmonious, and supports continuous interpolation via 'grDevices::colorRampPalette()' for arbitrary 'n'. Designed to plug into 'ggplot2' workflows through standard manual and gradient scales.
License: CC0
Encoding: UTF-8
Language: en-US
Imports: ggplot2, grDevices
Suggests: knitr, rmarkdown, ragg
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-05-23 19:38:37 UTC; msm
Author: Mathias Sable-Meyer [aut, cre, cph] , Sandra Reinert [aut]
Maintainer: Mathias Sable-Meyer <mat-git@s-m.ac>
Repository: CRAN
Date/Publication: 2026-05-29 11:30:20 UTC

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Package cpop updated to version 1.0.9 with previous version 1.0.8 dated 2025-06-11

Title: Detection of Multiple Changes in Slope in Univariate Time-Series
Description: Detects multiple changes in slope using the CPOP dynamic programming approach of Fearnhead, Maidstone, and Letchford (2019) <doi:10.1080/10618600.2018.1512868>. This method finds the best continuous piecewise linear fit to data under a criterion that measures fit to data using the residual sum of squares, but penalizes complexity based on an L0 penalty on changes in slope. Further information regarding the use of this package with detailed examples can be found in Fearnhead and Grose (2024) <doi:10.18637/jss.v109.i07>.
Author: Daniel Grose [aut, cre], Paul Fearnhead [aut]
Maintainer: Daniel Grose <dan.grose@lancaster.ac.uk>

Diff between cpop versions 1.0.8 dated 2025-06-11 and 1.0.9 dated 2026-05-29

 cpop-1.0.8/cpop/build/cpop.pdf    |only
 cpop-1.0.9/cpop/DESCRIPTION       |   10 +++++-----
 cpop-1.0.9/cpop/MD5               |   15 +++++++--------
 cpop-1.0.9/cpop/NEWS.md           |    5 +++++
 cpop-1.0.9/cpop/R/cpop.R          |   33 ++++++++++++++++-----------------
 cpop-1.0.9/cpop/R/cpop.crops.R    |   11 +++++------
 cpop-1.0.9/cpop/build/partial.rdb |binary
 cpop-1.0.9/cpop/build/stage23.rdb |binary
 cpop-1.0.9/cpop/man/cpop.Rd       |    6 +++---
 9 files changed, 41 insertions(+), 39 deletions(-)

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Package resmush updated to version 1.0.1 with previous version 1.0.0 dated 2026-03-14

Title: Optimize and Compress Image Files with 'reSmush.it'
Description: Optimize and compress local image files, directories and online images with the 'reSmush.it' API <https://resmush.it/>. Supports 'png', 'jpg/jpeg', 'gif', 'bmp' and 'tiff' files.
Author: Diego Hernangomez [aut, cre, cph]
Maintainer: Diego Hernangomez <diego.hernangomezherrero@gmail.com>

Diff between resmush versions 1.0.0 dated 2026-03-14 and 1.0.1 dated 2026-05-29

 DESCRIPTION                             |   14 
 MD5                                     |   78 +-
 NAMESPACE                               |   16 
 NEWS.md                                 |   53 +
 R/resmush-package.R                     |   14 
 R/resmush_clean_dir.R                   |  152 ++---
 R/resmush_dir.R                         |  211 +++----
 R/resmush_file.R                        |  480 ++++++----------
 R/resmush_url.R                         |  490 ++++++----------
 R/show_report.R                         |   68 --
 R/sysdata.rda                           |binary
 R/utils.R                               |  361 ++++++++----
 README.md                               |  110 ++-
 build/vignette.rds                      |binary
 inst/CITATION                           |   42 -
 inst/REFERENCES.bib                     |    8 
 inst/WORDLIST                           |    4 
 inst/doc/resmush.html                   |  110 ++-
 inst/doc/resmush.qmd                    |  115 ++-
 inst/schemaorg.json                     |    6 
 man/resmush-package.Rd                  |   57 +
 man/resmush_clean_dir.Rd                |  125 ++--
 man/resmush_dir.Rd                      |  208 +++----
 man/resmush_file.Rd                     |  203 +++----
 man/resmush_url.Rd                      |  190 +++---
 man/roxygen/meta.R                      |   12 
 tests/testthat.R                        |   24 
 tests/testthat/_snaps/formats.md        |    8 
 tests/testthat/_snaps/remush_url.md     |   20 
 tests/testthat/_snaps/resmuh_dir.md     |    2 
 tests/testthat/_snaps/show_report.md    |   62 +-
 tests/testthat/test-formats-local.R     |  186 +++---
 tests/testthat/test-formats.R           |  256 ++++----
 tests/testthat/test-remush_url.R        |  923 +++++++++++++++-----------------
 tests/testthat/test-resmuh_dir.R        |  454 +++++++--------
 tests/testthat/test-resmush_clean_dir.R |  131 ++--
 tests/testthat/test-resmush_file.R      |  799 +++++++++++++--------------
 tests/testthat/test-utils.R             |   82 +-
 vignettes/REFERENCES.bib                |    8 
 vignettes/resmush.qmd                   |  115 ++-
 40 files changed, 3037 insertions(+), 3160 deletions(-)

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New package saCI with initial version 0.1.0
Package: saCI
Title: Stochastic Approximation Confidence Interval for Correlation
Version: 0.1.0
Description: Implements stochastic approximation method for constructing nonparametric confidence intervals for correlation coefficient, based on Xiong & Xu (2016).
License: GPL (>= 3)
Encoding: UTF-8
Imports: boot, MASS, mvtnorm
Suggests: testthat (>= 3.0.0), shiny
NeedsCompilation: no
Packaged: 2026-05-26 06:54:10 UTC; 14482
Author: Pengyu Chen Group1 [aut, cre]
Maintainer: Pengyu Chen Group1 <1448207797@qq.com>
Repository: CRAN
Date/Publication: 2026-05-29 10:40:02 UTC

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New package potentiomap with initial version 0.1.0
Package: potentiomap
Title: Build Potentiometric Surfaces and Flow Arrows
Version: 0.1.0
Author: Elvin Cordero [aut, cre]
Maintainer: Elvin Cordero <elvin.cordero@seamountgeo.com>
Description: Builds potentiometric surface products from groundwater monitoring data. The package prepares groundwater observations from direct water-level measurements or depth-to-water data paired with land-surface elevations, interpolates thin-plate spline surfaces by default, supports alternative and user-supplied interpolation methods, exports raster and contour products, and derives hydraulic-gradient flow arrows. Raster operations use methods from Hijmans (2025) <doi:10.32614/CRAN.package.terra>, thin-plate spline interpolation uses methods from Nychka et al. (2021) <doi:10.5065/D6W957CT>, and geostatistical interpolation uses methods from Pebesma (2004) <doi:10.1016/j.cageo.2004.03.012>.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1)
Imports: fields, grDevices, graphics, gstat, sf, stats, terra
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-05-25 04:22:47 UTC; ec
Repository: CRAN
Date/Publication: 2026-05-29 10:10:02 UTC

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New package ModLR with initial version 0.1.29
Package: ModLR
Title: Information-Theoretic Approach for Moderation Analysis
Version: 0.1.29
Description: Provides a robust implementation of information-theoretic moderation analysis using multi-model inference based on Akaike's Information Criterion (AIC) and its small-sample corrected form (Corrected AIC). The package enables researchers to compare competing model specifications and helps distinguish true interaction effects from nonlinear relationships that may produce spurious moderation. The methods build on Daryanto (2019) <doi:10.1016/j.jbusres.2019.06.012>.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/ahdar1/ModLR
Imports: stats, ggplot2, broom, lmtest, sandwich, rlang
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-05-24 15:44:51 UTC; antob
Author: Ahmad Daryanto [aut, cre]
Maintainer: Ahmad Daryanto <ahdar_2000@yahoo.com>
Repository: CRAN
Date/Publication: 2026-05-29 10:10:08 UTC

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New package GREENREG with initial version 0.1.0
Package: GREENREG
Title: Tool for Statistical and Environmental Analysis
Version: 0.1.0
Description: Provides a set of accessible and automated functions to apply statistical models such as Simple Linear Regression (RLS, from the Spanish 'Regresión Lineal Simple'), Multiple Linear Regression (RLM, from the Spanish 'Regresión Lineal Múltiple'), Generalized Linear Models (GLM), and time series analysis through Autoregressive Integrated Moving Average (ARIMA) models. Designed to support teaching at the Universidad Autónoma Chapingo, it facilitates results interpretation and assumption validation through automatic graphical diagnostics. Methods for regression and time series are based on Montgomery et al. (2021, ISBN:978-1119570141) and Box & Jenkins (1970, ISBN:978-0816211043).
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5)
Imports: ggplot2, ggrepel, stats, lmtest,
Suggests: pROC, broom, car, rmarkdown, tseries
NeedsCompilation: no
Packaged: 2026-05-25 03:56:12 UTC; dbaza
Author: Dayron Jared Bazan Guzman [aut, cre]
Maintainer: Dayron Jared Bazan Guzman <dbazanguzman@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-29 10:10:14 UTC

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New package BioIndex with initial version 0.6.4
Package: BioIndex
Title: Biological Indicators and Indices for MEDITS Survey Data
Version: 0.6.4
Date: 2026-04-29
Author: Walter Zupa [aut, cre], Loredana Casciaro [rev], Cosmidano Neglia [rev], Isabella Bitetto [rev], Maria Teresa Spedicato [aut]
Maintainer: Walter Zupa <zupa@fondazionecoispa.org>
Description: Supports the standardized analysis of Mediterranean International Bottom Trawl Survey (MEDITS) data and the calculation of biological indicators for selected species and population components. The package provides functions to estimate abundance and biomass indices, analyse size structure and length frequency distributions, derive sex ratio and maturity related metrics, explore spatial patterns, and assess temporal trends across surveys. Developed for integration within the Regional Database for Fisheries (RDBFIS) framework, it is intended to work on quality checked input data and to produce reproducible outputs that can support monitoring, comparative analyses among Geographical Sub-Areas (GSAs) and countries, and fishery management.
License: GPL-3
Encoding: UTF-8
LazyData: TRUE
LazyDataCompression: xz
Depends: R (>= 4.1)
Imports: dplyr, ggplot2, gridExtra, hms, magrittr, marmap, methods, mgcv, reshape2, shiny, shinyjs, stringr, terra, tidyterra, zip
Suggests: knitr, mapproj, maps (>= 3.4.1), rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-05-25 16:18:21 UTC; Walter
Repository: CRAN
Date/Publication: 2026-05-29 10:30:02 UTC

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New package acsmoe with initial version 0.1.0
Package: acsmoe
Title: Propagate Uncertainty for ACS Tabular Estimates
Version: 0.1.0
Description: Utilities for propagating uncertainty in American Community Survey tabular workflows that use published estimates and margins of error, following U.S. Census Bureau derived-estimate guidance and complementing 'tidycensus' margin-of-error workflows. Includes covariance-aware derived estimates, simulation helpers, geographic aggregation, confidence-interval conversion, and reliability diagnostics.
License: MIT + file LICENSE
URL: https://dshkol.github.io/acsmoe/, https://github.com/dshkol/acsmoe
BugReports: https://github.com/dshkol/acsmoe/issues
Encoding: UTF-8
Language: en-US
Imports: stats
Suggests: dplyr, ggplot2, knitr, rmarkdown, scales, sf, testthat (>= 3.0.0), tidycensus
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-05-26 02:01:42 UTC; dmitryshkolnik
Author: Dmitry Shkolnik [aut, cre]
Maintainer: Dmitry Shkolnik <shkolnikd@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-29 10:40:07 UTC

More information about acsmoe at CRAN
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Package RSGHB (with last version 1.2.2) was removed from CRAN

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

2019-07-03 1.2.2
2019-01-06 1.2.1
2018-10-17 1.2.0
2015-12-16 1.1.2
2015-07-16 1.1.1
2015-06-08 1.1.0
2014-05-30 1.0.2
2013-04-10 1.0.1
2013-02-14 1.0

Permanent link
Package MadanTextNetwork (with last version 0.1.0) was removed from CRAN

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

2023-12-08 0.1.0

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Package rbrsa (with last version 0.2.0) was removed from CRAN

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

2026-01-06 0.2.0

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Package PersianStemmer (with last version 1.0) was removed from CRAN

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

2019-06-28 1.0

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Package MadanText (with last version 0.1.0) was removed from CRAN

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

2023-12-06 0.1.0

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New package varGuid with initial version 0.1.4
Package: varGuid
Title: Variance-Guided Regression for Heteroscedastic Linear Models
Version: 0.1.4
Date: 2026-05-23
Author: Sibei Liu [aut], Min Lu [aut, cre]
Maintainer: Min Lu <luminwin@gmail.com>
License: GPL (>= 2)
Depends: R (>= 3.5.0)
Imports: glmnet, lmtest, sandwich
Description: Fits variance-guided linear regression models for heteroscedastic data using an iteratively reweighted least squares estimator or an iteratively reweighted lasso estimator. This CRAN release focuses on the global linear mean-variance model in Section 2 of the accompanying preprint <doi:10.36227/techrxiv.177004877.75352102/v1>. The grouping-based nonlinear prediction extension from Section 3 is available in the development version on GitHub.
Encoding: UTF-8
LazyData: true
URL: https://github.com/luminwin/varGuid
BugReports: https://github.com/luminwin/varGuid/issues
NeedsCompilation: no
Packaged: 2026-05-23 02:20:00 UTC; minlu
Repository: CRAN
Date/Publication: 2026-05-29 09:30:02 UTC

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New package shinyStep with initial version 0.5.1
Package: shinyStep
Title: User-Editable R Functions in 'Shiny' Apps with a Step Debugger
Version: 0.5.1
Description: A pair of 'Shiny' modules that let end users of a 'Shiny' application author their own R functions directly in the browser. Host apps can expose these modules as extension points where user-supplied code augments or replaces built-in logic, without requiring users to modify the app's source. Each module embeds an 'Ace' editor with a structured argument table, an in-frame R console rooted in the paused function's local environment, and a step debugger that handles for, while, repeat, and if/else blocks at any nesting depth. Two module flavours are provided: solo editors for testing a function in isolation with literal argument values, and embedded editors for pausing a function mid-execution inside a larger host program.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/zhangh12/shinyStep
BugReports: https://github.com/zhangh12/shinyStep/issues
Imports: shiny (>= 1.7.0), shinyAce (>= 0.4.0)
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-05-23 04:07:15 UTC; zhhan
Author: Han Zhang [aut, cre]
Maintainer: Han Zhang <zhangh.ustc@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-29 09:30:07 UTC

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New package schmear with initial version 0.1.0
Package: schmear
Title: Build Structured Data Frame Subtypes
Version: 0.1.0
Description: Provides developer-focused helper functions and S3 classes to ease the creation of structured subtypes of data frames. Developers can require certain columns and types to be present, and can enforce crossing and nesting relationships between values in different columns. Type-specific metadata and attributes are preserved through common data frame manipulations.
Imports: rlang, cli, vctrs
Suggests: dplyr, pillar, testthat (>= 3.0.0)
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://corymccartan.com/schmear/, https://github.com/CoryMcCartan/schmear
BugReports: https://github.com/CoryMcCartan/schmear/issues
NeedsCompilation: no
Packaged: 2026-05-22 23:34:42 UTC; cmccartan
Author: Cory McCartan [aut, cre, cph]
Maintainer: Cory McCartan <mccartan@psu.edu>
Repository: CRAN
Date/Publication: 2026-05-29 09:30:11 UTC

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New package RSSRMR with initial version 0.1.0
Package: RSSRMR
Title: Robust Self-Representation Sparse Reconstruction and Manifold Regularization
Version: 0.1.0
Description: Feature selection and clustering classification under the presence of multivariate outliers in high-dimensional unlabeled data.
License: GPL-3
Encoding: UTF-8
Imports: robustbase, stats
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-05-23 07:09:27 UTC; cvalley
Author: Abdul Wahid [aut, cre]
Maintainer: Abdul Wahid <ab_wahid1996@yahoo.com>
Repository: CRAN
Date/Publication: 2026-05-29 09:50:07 UTC

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New package PPTS with initial version 1.0
Package: PPTS
Title: Point Process Time Series
Version: 1.0
Date: 2026-05-09
Author: Daniel Gervini [aut, cre], Simon Kopischke [aut]
Maintainer: Daniel Gervini <gervini@uwm.edu>
Description: Provides functions for point process time series. Autocorrelation functions for spatial and temporal time series, and estimation of trend-plus-seasonality models for temporal and spatial time series. See Gervini (2025) <doi:10.1111/jtsa.70018> and Gervini and Kopischke (2026) <doi:10.48550/arXiv.2605.21884>.
License: MIT + file LICENSE
LazyData: true
NeedsCompilation: no
Depends: R (>= 3.5.0)
Packaged: 2026-05-23 03:05:56 UTC; simonkopischke
Repository: CRAN
Date/Publication: 2026-05-29 09:30:16 UTC

More information about PPTS at CRAN
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New package pcreg with initial version 0.1.0
Package: pcreg
Title: Advanced Methods for Principal Component Analysis and Principal Component Regression
Version: 0.1.0
Author: Dr. Pramit Pandit [aut, cre], Dr. Halagundegowda G R [aut], Dr. Kamidi Rahul [aut], Dr. S. Gandhi Doss [aut]
Description: Provides a unified framework for principal component analysis (PCA) and principal component regression (PCR), including standard PCA, sparse PCA, robust PCA, and supervised PCA. The package supports automatic selection of the number of components using cumulative variance and elbow methods and integrates PCA with regression modelling through PCR models. It includes tools for PCA suitability assessment using Bartlett's test of sphericity and the Kaiser-Meyer-Olkin (KMO) measure. Visualisation utilities such as scree plots and biplots are provided for interpretation. The methods are designed to handle multicollinearity, outliers, and high-dimensional data, making them suitable for applied statistical modelling and data analysis. The methodology is based on established approaches described in Jolliffe (2002) <doi:10.1007/b98835>, Zou et al. (2006) <doi:10.1111/j.1467-9868.2005.00503.x>, and Hubert et al. (2005) <doi:10.1198/004017004000000563>.
License: GPL-3
Encoding: UTF-8
Imports: stats, ggplot2, ggrepel, gridExtra, scales, psych, elasticnet, robustbase, grid
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-05-24 16:17:56 UTC; prami
Maintainer: Dr. Pramit Pandit <pramitpandit@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-29 09:50:02 UTC

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New package multiswc with initial version 0.1.2
Package: multiswc
Title: Multi-Regime Marginal Structural Cox Model for Multi-Way Treatment Switching in Oncology Clinical Trials with Survival Endpoints
Version: 0.1.2
Description: Estimate the causal effect of sustained treatment strategies on overall survival in clinical trials with possible treatment crossover and switch to subsequent therapy. Simulate faithful longitudinal clinical trials data with survival endpoints and multi-way treatment switches allowing for time-dependent prognostic factors. For more on methodological background, please see: Keogh and colleagues (2021) <doi:10.1002/bimj.202000040> and Suarez and colleagues (2008) <doi:10.1016/j.jclinepi.2007.11.007>.
License: MIT + file LICENSE
Imports: nnet, survival
Encoding: UTF-8
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
URL: https://github.com/tonyhbc/multiswc
BugReports: https://github.com/tonyhbc/multiswc/issues
NeedsCompilation: no
Packaged: 2026-05-25 03:13:12 UTC; tonyhchen
Author: Haobin Chen [aut, cre], Yuxuan Chen [aut], Philip He [aut]
Maintainer: Haobin Chen <tony.haobin.chen@alumni.emory.edu>
Repository: CRAN
Date/Publication: 2026-05-29 10:00:02 UTC

More information about multiswc at CRAN
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Package LMMsolver updated to version 1.0.13 with previous version 1.0.12 dated 2025-12-05

Title: Linear Mixed Models with Sparse Matrix Methods and Smoothing
Description: Provides tools for fitting linear mixed models using sparse matrix methods and variance component estimation. Applications include spline-based modeling of spatial and temporal trends using penalized splines (Boer, 2023) <doi:10.1177/1471082X231178591>.
Author: Martin Boer [aut] , Bart-Jan van Rossum [aut, cre]
Maintainer: Bart-Jan van Rossum <bart-jan.vanrossum@wur.nl>

Diff between LMMsolver versions 1.0.12 dated 2025-12-05 and 1.0.13 dated 2026-05-29

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More information about LMMsolver at CRAN
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Package GWPR.light readmission to version 1.0.0 with previous version 0.2.1 dated 2022-06-21

Title: Geographically Weighted Panel Regression
Description: A modern, first implementation of Geographically Weighted Panel Regression (GWPR) for spatial panel data. The package provides a unified public API supporting Gaussian and binomial family models, within/pooling/random panel effects, three bandwidth search strategies (grid, Stochastic Gradient Descent, random), five kernel functions, and optional parallel execution via the 'future' framework. Diagnostic tools include spatial Moran's I, local F-test, Hausman test, and Lagrange Multiplier test.
Author: Chao Li [aut, cre] , Shunsuke Managi [aut]
Maintainer: Chao Li <chaoli0394@gmail.com>

This is a re-admission after prior archival of version 0.2.1 dated 2022-06-21

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Package EstemPMM updated to version 0.4.0 with previous version 0.3.2 dated 2026-05-15

Title: Polynomial Maximization Method for Non-Gaussian Regression
Description: Implements the Polynomial Maximization Method ('PMM') for parameter estimation in linear and time series models when error distributions deviate from normality. The 'PMM2' variant achieves lower variance parameter estimates compared to ordinary least squares ('OLS') when errors exhibit significant skewness. The 'PMM3' variant (S=3) targets symmetric platykurtic error distributions, reducing variance when excess kurtosis is negative. Includes automatic method selection ('pmm_dispatch'), linear regression, 'AR'/'MA'/'ARMA'/'ARIMA' models, and bootstrap inference. Methodology described in Zabolotnii, Warsza, and Tkachenko (2018) <doi:10.1007/978-3-319-77179-3_75>, Zabolotnii, Tkachenko, and Warsza (2022) <doi:10.1007/978-3-031-03502-9_37>, and Zabolotnii, Tkachenko, and Warsza (2023) <doi:10.1007/978-3-031-25844-2_21>, and Zabolotnii (2025) <doi:10.48550/arXiv.2511.07059>.
Author: Serhii Zabolotnii [aut, cre]
Maintainer: Serhii Zabolotnii <zabolotniua@gmail.com>

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Package DiPALM updated to version 1.3 with previous version 1.2 dated 2022-06-27

Title: Differential Pattern Analysis via Linear Modeling
Description: Individual gene expression patterns are encoded into a series of eigenvector patterns ('WGCNA' package). Using the framework of linear model-based differential expression comparisons ('limma' package), time-course expression patterns for genes in different conditions are compared and analyzed for significant pattern changes. For reference, see: Greenham K, Sartor RC, Zorich S, Lou P, Mockler TC and McClung CR. eLife. 2020 Sep 30;9(4). <doi:10.7554/eLife.58993>.
Author: Ryan C. Sartor [aut, cre], Kathleen Greenham [aut], William Gustafson [aut]
Maintainer: Ryan C. Sartor <sartorry@gmail.com>

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New package adjustr with initial version 0.2.0
Package: adjustr
Encoding: UTF-8
Title: Stan Model Adjustments and Sensitivity Analyses using Importance Sampling
Version: 0.2.0
Description: Assess the sensitivity of a Bayesian model (fitted using 'Stan' via 'rstan', 'brms', or 'cmdstanr') to the specification of its likelihood and priors. Users provide a series of alternate sampling specifications, and the package uses Pareto-smoothed importance sampling (PSIS) to estimate posterior quantities of interest under each specification, without needing to refit the model. Methods are based on Vehtari, Simpson, Gelman, Yao, and Gabry (2024) <doi:10.48550/arXiv.1507.02646>.
License: MIT + file LICENSE
Depends: R (>= 3.6.0), dplyr (>= 1.0.0)
Imports: rlang, tidyselect, rstan, loo
Suggests: ggplot2, extraDistr, tidyr, testthat, covr, knitr, rmarkdown
URL: https://corymccartan.com/adjustr/
BugReports: https://github.com/CoryMcCartan/adjustr/issues
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-05-22 22:09:00 UTC; cmccartan
Author: Cory McCartan [aut, cre, cph]
Maintainer: Cory McCartan <mccartan@psu.edu>
Repository: CRAN
Date/Publication: 2026-05-29 09:20:02 UTC

More information about adjustr at CRAN
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Package WACS updated to version 1.2.0 with previous version 1.1.0 dated 2020-06-05

Title: Multivariate Weather-State Approach Conditionally Skew-Normal Generator
Description: A multivariate weather generator for daily climate variables based on weather-states (Flecher et al. (2010) <doi:10.1029/2009WR008098>). It uses a Markov chain for modeling the succession of weather states. Conditionally to the weather states, the multivariate variables are modeled using the family of Complete Skew-Normal distributions. Parameters are estimated on measured series. Must include the variable 'Rain' and can accept as many other variables as desired.
Author: Denis Allard [aut] , Ronan Trepos [aut, cre]
Maintainer: Ronan Trepos <ronan.trepos@inrae.fr>

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Package GxEprs updated to version 1.3 with previous version 1.2 dated 2024-05-29

Title: Genotype-by-Environment Interaction in Polygenic Score Models
Description: A novel PRS model is introduced to enhance the prediction accuracy by utilising GxE effects. This package performs Genome Wide Association Studies (GWAS) and Genome Wide Environment Interaction Studies (GWEIS) using a discovery dataset. The package has the ability to obtain polygenic risk scores (PRSs) for a target sample. Finally it predicts the risk values of each individual in the target sample. Users have the choice of using existing models (Li et al., 2015) <doi:10.1093/annonc/mdu565>, (Pandis et al., 2013) <doi:10.1093/ejo/cjt054>, (Peyrot et al., 2018) <doi:10.1016/j.biopsych.2017.09.009> and (Song et al., 2022) <doi:10.1038/s41467-022-32407-9>, as well as newly proposed models for genomic risk prediction (refer to the URL for more details).
Author: Dovini Jayasinghe [aut, cre, cph], Hong Lee [aut, cph], Moksedul Momin [aut, cph]
Maintainer: Dovini Jayasinghe <dovini.jayasinghe@mymail.unisa.edu.au>

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Package gdalcubes updated to version 0.7.4 with previous version 0.7.3 dated 2026-01-18

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

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Package xiacf updated to version 0.6.0 with previous version 0.5.0 dated 2026-05-17

Title: Nonlinear Dependence and Lead-Lag Analysis via Chatterjee's Xi
Description: Computes Chatterjee's non-parametric correlation coefficient for time series data. It extends the original metric to time series analysis by providing the univariate Xi-Autocorrelation Function (Xi-ACF), directional Xi-Cross-Correlation Function (Xi-CCF), and multivariate network evaluation matrices. The package allows users to test for non-linear dependence using Iterative Amplitude Adjusted Fourier Transform (IAAFT) and Multivariate IAAFT (MIAAFT) surrogate data with strict Family-Wise Error Rate ('FWER') control via Max-statistic approaches. Methodologies are based on Chatterjee (2021) <doi:10.1080/01621459.2020.1758115>, surrogate data testing methods by Schreiber and Schmitz (1996) <doi:10.1103/PhysRevLett.77.635>, and local structural identification by Watanabe (2026) <doi:10.2139/ssrn.6829431>.
Author: Yasunori Watanabe [aut, cre]
Maintainer: Yasunori Watanabe <watanabe.yasunori@outlook.com>

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Package spatstat.model updated to version 3.7-1 with previous version 3.7-0 dated 2026-03-29

Title: Parametric Statistical Modelling and Inference for the 'spatstat' Family
Description: Functionality for parametric statistical modelling and inference for spatial data, mainly spatial point patterns, in the 'spatstat' family of packages. (Excludes analysis of spatial data on a linear network, which is covered by the separate package 'spatstat.linnet'.) Supports parametric modelling, formal statistical inference, and model validation. Parametric models include Poisson point processes, Cox point processes, Neyman-Scott cluster processes, Gibbs point processes and determinantal point processes. Models can be fitted to data using maximum likelihood, maximum pseudolikelihood, maximum composite likelihood and the method of minimum contrast. Fitted models can be simulated and predicted. Formal inference includes hypothesis tests (quadrat counting tests, Cressie-Read tests, Clark-Evans test, Berman test, Diggle-Cressie-Loosmore-Ford test, scan test, studentised permutation test, segregation test, ANOVA tests of fitted models, adjusted composite likelihood ratio test, envelope t [...truncated...]
Author: Adrian Baddeley [aut, cre, cph] , Rolf Turner [aut, cph] , Ege Rubak [aut, cph] , Kasper Klitgaard Berthelsen [ctb], Achmad Choiruddin [ctb, cph], Jean-Francois Coeurjolly [ctb], Ottmar Cronie [ctb], Tilman Davies [ctb], Julian Gilbey [ctb], Yongtao [...truncated...]
Maintainer: Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>

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Package igraph updated to version 2.3.2 with previous version 2.3.1 dated 2026-05-04

Title: Network Analysis and Visualization
Description: Routines for simple graphs and network analysis. It can handle large graphs very well and provides functions for generating random and regular graphs, graph visualization, centrality methods and much more.
Author: Gabor Csardi [aut] , Tamas Nepusz [aut] , Vincent Traag [aut] , Szabolcs Horvat [aut] , Fabio Zanini [aut] , Daniel Noom [aut], Kirill Mueller [aut, cre] , Michael Antonov [ctb], Chan Zuckerberg Initiative [fnd] , David Schoch [aut] , Maelle Salmon [a [...truncated...]
Maintainer: Kirill Mueller <kirill@cynkra.com>

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Package grand (with last version 0.9.1) was removed from CRAN

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

2025-07-23 0.9.1
2023-02-10 0.9.0

Permanent link
Package procs updated to version 1.0.9 with previous version 1.0.8 dated 2026-03-20

Title: Recreates Some 'SAS®' Procedures in 'R'
Description: Contains functions to simulate the most commonly used 'SAS®' procedures. Specifically, the package aims to simulate the functionality of 'proc freq', 'proc means', 'proc ttest', 'proc reg', 'proc transpose', 'proc sort', and 'proc print'. The simulation will include recreating all statistics with the highest fidelity possible.
Author: David Bosak [aut, cre], Diyu Yang [aut], Athenkosi Nkonyeni [aut], Kevin Kramer [ctb], Brian Varney [ctb], Duong Tran [ctb], Yifei Chen [ctb]
Maintainer: David Bosak <dbosak01@gmail.com>

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Package greenR updated to version 0.0.1.7 with previous version 0.0.1.6 dated 2025-11-30

Title: Green Index Quantification, Analysis and Visualization
Description: Quantification, analysis, and visualization of urban greenness within city networks using data from 'OpenStreetMap' <https://www.openstreetmap.org>.
Author: Sachit Mahajan [aut, cre]
Maintainer: Sachit Mahajan <sachitmahajan90@gmail.com>

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Package cardx updated to version 0.3.3 with previous version 0.3.2 dated 2026-02-05

Title: Extra Analysis Results Data Utilities
Description: Create extra Analysis Results Data (ARD) summary objects. The package supplements the simple ARD functions from the 'cards' package, exporting functions to put statistical results in the ARD format. These objects are used and re-used to construct summary tables, visualizations, and written reports.
Author: Daniel D. Sjoberg [aut, cre] , Abinaya Yogasekaram [aut], Emily de la Rua [aut], Malcolm Barrett [ctb] , F. Hoffmann-La Roche AG [cph, fnd]
Maintainer: Daniel D. Sjoberg <danield.sjoberg@gmail.com>

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Permanent link

Package aisdk updated to version 1.4.10 with previous version 1.1.0 dated 2026-03-31

Title: Unified Interface for AI Model Providers
Description: A production-grade AI toolkit for R featuring a layered architecture (Specification, Utilities, Providers, Core), request interception support, robust error handling with exponential retry delays, support for multiple AI model providers ('OpenAI', 'Anthropic', etc.), local small language model inference, distributed 'MCP' ecosystem, multi-agent orchestration, progressive knowledge loading through skills, and a global skill store for sharing AI capabilities.
Author: Yonghe Xia [aut, cre]
Maintainer: Yonghe Xia <xiayh17@gmail.com>

Diff between aisdk versions 1.1.0 dated 2026-03-31 and 1.4.10 dated 2026-05-29

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 aisdk-1.4.10/aisdk/DESCRIPTION                                     |   15 
 aisdk-1.4.10/aisdk/LICENSE                                         |    4 
 aisdk-1.4.10/aisdk/MD5                                             |  644 +-
 aisdk-1.4.10/aisdk/NAMESPACE                                       |  176 
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 aisdk-1.4.10/aisdk/R/agent.R                                       |   76 
 aisdk-1.4.10/aisdk/R/agent_evals.R                                 |  273 -
 aisdk-1.4.10/aisdk/R/agent_library.R                               |   37 
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 aisdk-1.4.10/aisdk/R/computer.R                                    |  197 
 aisdk-1.4.10/aisdk/R/config_model.R                                |only
 aisdk-1.4.10/aisdk/R/console.R                                     | 2544 +++++++++
 aisdk-1.4.10/aisdk/R/console_agent.R                               | 1103 +++-
 aisdk-1.4.10/aisdk/R/console_app.R                                 |  174 
 aisdk-1.4.10/aisdk/R/console_persona.R                             |only
 aisdk-1.4.10/aisdk/R/console_setup.R                               |  905 ++-
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 aisdk-1.4.10/aisdk/R/core_api.R                                    | 1242 +++-
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 aisdk-1.4.10/aisdk/R/provider_anthropic.R                          |  433 +
 aisdk-1.4.10/aisdk/R/provider_custom.R                             |   21 
 aisdk-1.4.10/aisdk/R/provider_gemini.R                             |  445 +
 aisdk-1.4.10/aisdk/R/provider_openai.R                             | 1749 +++++-
 aisdk-1.4.10/aisdk/R/r_context_tools.R                             |only
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 aisdk-1.4.10/aisdk/R/semantic_adapter.R                            |only
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 aisdk-1.4.10/aisdk/R/session_event_store.R                         |only
 aisdk-1.4.10/aisdk/R/shared_session.R                              |    4 
 aisdk-1.4.10/aisdk/R/skill.R                                       |  713 ++
 aisdk-1.4.10/aisdk/R/skill_registry.R                              |  379 +
 aisdk-1.4.10/aisdk/R/spec_model.R                                  |  524 +
 aisdk-1.4.10/aisdk/R/sse_aggregator.R                              |  168 
 aisdk-1.4.10/aisdk/R/stdlib_agents.R                               |   30 
 aisdk-1.4.10/aisdk/R/stream_renderer.R                             |   48 
 aisdk-1.4.10/aisdk/R/sub_session.R                                 |only
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 aisdk-1.4.10/aisdk/R/tool.R                                        |  250 
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 aisdk-1.4.10/aisdk/R/utils_capture.R                               |   15 
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 aisdk-1.4.10/aisdk/R/utils_env.R                                   |    9 
 aisdk-1.4.10/aisdk/R/utils_http.R                                  | 1517 ++++-
 aisdk-1.4.10/aisdk/R/utils_ids.R                                   |only
 aisdk-1.4.10/aisdk/R/utils_models.R                                |   67 
 aisdk-1.4.10/aisdk/R/utils_models_update.R                         |   48 
 aisdk-1.4.10/aisdk/R/utils_registry.R                              |  131 
 aisdk-1.4.10/aisdk/README.md                                       |   91 
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 aisdk-1.4.10/aisdk/man/ChatSession.Rd                              |  518 +
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 aisdk-1.4.10/aisdk/man/OpenAIProvider.Rd                           |  164 
 aisdk-1.4.10/aisdk/man/OpenAIResponsesLanguageModel.Rd             |    8 
 aisdk-1.4.10/aisdk/man/ProviderRegistry.Rd                         |   21 
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 aisdk-1.4.10/aisdk/man/SharedSession.Rd                            |   26 
 aisdk-1.4.10/aisdk/man/SkillRegistry.Rd                            |  117 
 aisdk-1.4.10/aisdk/man/agent.Rd                                    |    9 
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 508 files changed, 22951 insertions(+), 4531 deletions(-)

More information about aisdk at CRAN
Permanent link

Package rswipl updated to version 10.1.8 with previous version 10.1.7 dated 2026-05-12

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>

Diff between rswipl versions 10.1.7 dated 2026-05-12 and 10.1.8 dated 2026-05-29

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 108 files changed, 2277 insertions(+), 697 deletions(-)

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Package fwb updated to version 0.6.0 with previous version 0.5.1 dated 2025-09-19

Title: Fractional Weighted Bootstrap
Description: An implementation of the fractional weighted bootstrap to be used as a drop-in for functions in the 'boot' package. The fractional weighted bootstrap (also known as the Bayesian bootstrap) involves drawing weights randomly that are applied to the data rather than resampling units from the data. See Xu et al. (2020) <doi:10.1080/00031305.2020.1731599> for details.
Author: Noah Greifer [aut, cre]
Maintainer: Noah Greifer <noah.greifer@gmail.com>

Diff between fwb versions 0.5.1 dated 2025-09-19 and 0.6.0 dated 2026-05-29

 DESCRIPTION                               |   15 -
 MD5                                       |   69 ++++----
 NAMESPACE                                 |    4 
 NEWS.md                                   |   48 ++++-
 R/compute.ci.R                            |   19 +-
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 R/fwb.array.R                             |   31 ++-
 R/fwb.ci.R                                |   64 +++----
 R/plot.fwb.R                              |   65 ++++---
 R/set_fwb_wtype.R                         |   32 +--
 R/simultaneous.R                          |   28 +--
 R/summary.fwb.R                           |   59 +++----
 R/utils.R                                 |  226 +++++++--------------------
 R/vcovFWB.R                               |  205 +++++++++++++++----------
 R/weighted-statistics.R                   |   39 +++-
 README.md                                 |   86 ++++++----
 build/stage23.rdb                         |binary
 build/vignette.rds                        |binary
 inst/doc/fwb-rep.Rmd                      |   22 +-
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 man/fwb.array.Rd                          |    9 -
 man/fwb.ci.Rd                             |   14 +
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 man/plot.fwb.Rd                           |    6 
 man/set_fwb_wtype.Rd                      |   12 -
 man/summary.fwb.Rd                        |    6 
 man/vcovFWB.Rd                            |   28 ++-
 tests/testthat/helpers.R                  |    4 
 tests/testthat/test-fwb.R                 |   66 +++++++-
 tests/testthat/test-vcovFWB.R             |only
 vignettes/fwb-rep.Rmd                     |   22 +-
 36 files changed, 866 insertions(+), 671 deletions(-)

More information about fwb at CRAN
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