Fri, 29 May 2026

Package spam updated to version 2.11-4 with previous version 2.11-3 dated 2026-01-08

Title: SPArse Matrix
Description: Set of functions for sparse matrix algebra. Differences with other sparse matrix packages are: (1) we only support (essentially) one sparse matrix format, (2) based on transparent and simple structure(s), (3) tailored for MCMC calculations within G(M)RF. (4) and it is fast and scalable (with the extension package spam64). Documentation about 'spam' is provided by vignettes included in this package, see also Furrer and Sain (2010) <doi:10.18637/jss.v036.i10>; see 'citation("spam")' for details.
Author: Reinhard Furrer [aut, cre] , Florian Gerber [aut] , Roman Flury [aut] , Daniel Gerber [ctb], Kaspar Moesinger [ctb], Annina Cincera [ctb], Youcef Saad [ctb] , Esmond G. Ng [ctb] , Barry W. Peyton [ctb] , Joseph W.H. Liu [ctb] , Alan D. George [ctb] , [...truncated...]
Maintainer: Reinhard Furrer <reinhard.furrer@math.uzh.ch>

Diff between spam versions 2.11-3 dated 2026-01-08 and 2.11-4 dated 2026-05-29

 DESCRIPTION                              |   10 ++---
 MD5                                      |   56 ++++++++++++++++++++++---------
 build/partial.rdb                        |binary
 build/vignette.rds                       |binary
 inst/CITATION                            |    4 +-
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 tests/demo_jss15-BYM.Rout.save           |    8 ++--
 tests/demo_jss15-Leroux.Rout.save        |    8 ++--
 tests/demo_spam.Rout.save                |    8 ++--
 tests/demo_timing.Rout.save              |    8 ++--
 tests/jss_areal_counts.Rout.save         |    8 ++--
 tests/testthat.Rout.save                 |    8 ++--
 23 files changed, 99 insertions(+), 73 deletions(-)

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Package mapsf updated to version 1.2.1 with previous version 1.2.0 dated 2026-05-05

Title: Thematic Cartography
Description: Create and integrate thematic maps in your workflow. This package helps to design various cartographic representations such as proportional symbols, choropleth or typology maps. It also offers several functions to display layout elements that improve the graphic presentation of maps (e.g. scale bar, north arrow, title, labels). 'mapsf' maps 'sf' objects on 'base' graphics.
Author: Timothee Giraud [cre, aut] , Hugues Pecout [ctb] , Ronan Ysebaert [ctb] , Elina Marveaux [ctb] , Ian Fellows [cph] , Jim Lemon [cph] , Danielle Navarro [cph]
Maintainer: Timothee Giraud <timothee.giraud@cnrs.fr>

Diff between mapsf versions 1.2.0 dated 2026-05-05 and 1.2.1 dated 2026-05-29

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 47 files changed, 339 insertions(+), 201 deletions(-)

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Package libimath updated to version 3.2.2-1 with previous version 3.2.2-0 dated 2026-02-22

Title: 'Imath' Computer Graphics Linear Algebra Static Library
Description: Provides a static library for 'Imath' (see <https://github.com/AcademySoftwareFoundation/Imath>), a library for functions and data types common in computer graphics applications, including a 16-bit floating-point type.
Author: Tyler Morgan-Wall [aut, cre] , Andrew Kunz [ctb, cph], Antonio Rojas [ctb, cph], Brecht Van Lommel [ctb, cph], Cary Phillips [ctb, cph], Christina Tempelaar-Lietz [ctb, cph], Christopher Kulla [ctb, cph], Daniel Kaneider [ctb, cph], Dirk Lemstra [ctb [...truncated...]
Maintainer: Tyler Morgan-Wall <tylermw@gmail.com>

Diff between libimath versions 3.2.2-0 dated 2026-02-22 and 3.2.2-1 dated 2026-05-29

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 7 files changed, 657 insertions(+), 573 deletions(-)

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Package labstatR updated to version 1.0.14 with previous version 1.0.13 dated 2022-08-08

Title: Libreria Del Laboratorio Di Statistica Con R
Description: Insieme di funzioni di supporto al volume "Laboratorio di Statistica con R", Iacus-Masarotto, MacGraw-Hill Italia, 2006. This package contains sets of functions defined in "Laboratorio di Statistica con R", Iacus-Masarotto, MacGraw-Hill Italia, 2006. Function names and docs are in italian as well.
Author: Stefano M. Iacus [aut, cre], Guido Masarotto [aut]
Maintainer: Stefano M. Iacus <siacus@iq.harvard.edu>

Diff between labstatR versions 1.0.13 dated 2022-08-08 and 1.0.14 dated 2026-05-29

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Package sox updated to version 1.2.3 with previous version 1.2.2 dated 2025-05-07

Title: Structured Learning in Time-Dependent Cox Models
Description: Efficient procedures for fitting and cross-validating the structurally-regularized time-dependent Cox models.
Author: Yi Lian [aut, cre], Guanbo Wang [aut], Archer Y. Yang [aut], Mireille E. Schnitzer [aut], Robert W. Platt [aut], Rui Wang [aut], Marc Dorais [aut], Sylvie Perreault [aut], Julien Mairal [ctb], Yuansi Chen [ctb]
Maintainer: Yi Lian <yi.lian@mail.mcgill.ca>

Diff between sox versions 1.2.2 dated 2025-05-07 and 1.2.3 dated 2026-05-29

 DESCRIPTION                |   10 +++++-----
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 4 files changed, 24 insertions(+), 24 deletions(-)

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Package MethEvolSIM updated to version 0.3.0 with previous version 0.2.1 dated 2025-04-11

Title: Simulate DNA Methylation Dynamics on Different Genomic Structures along Genealogies
Description: DNA methylation is an epigenetic modification involved in genomic stability, gene regulation, development and disease. DNA methylation occurs mainly through the addition of a methyl group to cytosines, for example to cytosines in a CpG dinucleotide context (CpG stands for a cytosine followed by a guanine). Tissue-specific methylation patterns lead to genomic regions with different characteristic methylation levels. E.g. in vertebrates CpG islands (regions with high CpG content) that are associated to promoter regions of expressed genes tend to be unmethylated. 'MethEvolSIM' is a model-based simulation software for the generation and modification of cytosine methylation patterns along a given tree, which can be a genealogy of cells within an organism, a coalescent tree of DNA sequences sampled from a population, or a species tree. The simulations are based on an extension of the model of Grosser & Metzler (2020) <doi:10.1186/s12859-020-3438-5> and allows for changes of the met [...truncated...]
Author: Sara Castillo Vicente [aut, cre], Dirk Metzler [aut, ths]
Maintainer: Sara Castillo Vicente <castillo@bio.lmu.de>

Diff between MethEvolSIM versions 0.2.1 dated 2025-04-11 and 0.3.0 dated 2026-05-29

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 11 files changed, 1689 insertions(+), 1181 deletions(-)

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Package broadcast updated to version 0.1.9 with previous version 0.1.8 dated 2026-02-20

Title: Broadcasted Array Operations Like 'NumPy'
Description: Implements efficient 'NumPy'-like broadcasted operations for atomic and recursive arrays. In the context of operations involving 2 (or more) arrays, “broadcasting” (AKA singleton expansion) refers to efficiently recycling array dimensions, without making copies. Besides linking to 'Rcpp', 'broadcast' does not use any external libraries in any way; 'broadcast' was essentially made from scratch and can be installed out-of-the-box. The implementations available in 'broadcast' include, but are not limited to, the following. 1) Broadcasted element-wise operations on any 2 arrays; they support a large set of relational, arithmetic, Boolean, string, and bit-wise operations. 2) A faster, more memory efficient, and broadcasted abind-like function, for binding arrays along an arbitrary dimension. 3) Broadcasted ifelse-like and apply-like functions. 4) Casting functions, that cast subset-groups of an array to a new dimension, cast nested lists to dimensional lists, and vice-versa. 5) A few linear [...truncated...]
Author: Tony Wilkes [aut, cre, cph]
Maintainer: Tony Wilkes <tony_a_wilkes@outlook.com>

Diff between broadcast versions 0.1.8 dated 2026-02-20 and 0.1.9 dated 2026-05-29

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 broadcast-0.1.9/broadcast/src/rcpp_bc_str.cpp                          |   56 
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 75 files changed, 1089 insertions(+), 2738 deletions(-)

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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>

Diff between SpaTopic versions 1.2.0 dated 2025-03-03 and 1.3.1 dated 2026-05-29

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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>

Diff between lsirm12pl versions 2.0.1 dated 2026-05-04 and 2.0.2 dated 2026-05-29

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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>

Diff between percentiles versions 0.2.3 dated 2026-04-03 and 0.3.0 dated 2026-05-29

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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>

Diff between mvtnorm versions 1.3-7 dated 2026-04-15 and 1.4-0 dated 2026-05-29

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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>

Diff between gh versions 1.5.0 dated 2025-05-26 and 1.6.0 dated 2026-05-29

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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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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

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 R/beamer.R                                                     |    2 
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 R/cv2.R                                                        |    2 
 R/memo.R                                                       |    2 
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 man/article.Rd                                                 |    2 
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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
 build/vignette.rds                       |binary
 inst/CITATION                            |  114 +++++-----
 inst/COPYRIGHTS                          |  130 ++++++------
 inst/REFERENCES.bib                      |   38 +--
 inst/WORDLIST                            |   63 +++---
 inst/doc/geobounds.html                  |  129 ++++++------
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 inst/schemaorg.json                      |   10 
 man/figures/README-map-coverage-1.png    |binary
 man/gb_clear_cache.Rd                    |  118 +++++------
 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

More information about EraBrewer at CRAN
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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 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 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 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

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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

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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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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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More information about GWPR.light at CRAN
Permanent link

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>

Diff between DiPALM versions 1.2 dated 2022-06-27 and 1.3 dated 2026-05-29

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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

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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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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>

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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 
 aisdk-1.4.10/aisdk/NEWS.md                                         |only
 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
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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 +++++-
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 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 
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 aisdk-1.4.10/aisdk/R/utils_env.R                                   |    9 
 aisdk-1.4.10/aisdk/R/utils_http.R                                  | 1517 ++++-
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 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/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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 aisdk-1.4.10/aisdk/man/create_agent.Rd                             |    5 
 aisdk-1.4.10/aisdk/man/create_anthropic.Rd                         |   30 
 aisdk-1.4.10/aisdk/man/create_ask_user_tool.Rd                     |only
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 aisdk-1.4.10/aisdk/man/create_console_tools.Rd                     |   22 
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 aisdk-1.4.10/aisdk/man/create_telemetry.Rd                         |    4 
 aisdk-1.4.10/aisdk/man/default_skill_roots.Rd                      |only
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 aisdk-1.4.10/aisdk/man/generate_text.Rd                            |   24 
 aisdk-1.4.10/aisdk/man/get_capability_model.Rd                     |only
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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>

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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

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Thu, 28 May 2026

Package QUALYPSO updated to version 3.1 with previous version 3.0 dated 2026-05-12

Title: Partitioning Uncertainty Components of an Incomplete Ensemble of Climate Projections
Description: These functions apply an analysis of variance to incomplete ensembles of climate projections. It provides estimates of climate change responses of all simulation chains and of all uncertainty variables. It has been applied to different ensembles of projections simulated to study the impact of climate change: for climate indicators in Evin et al. (2019) <doi:10.1175/JCLI-D-18-0606.1>; seasonal precipitation and temperature in Evin, Somot and Hingray (2021) <doi:10.5194/esd-12-1543-2021>; hydrological variables in Evin et al. (2026) <doi:10.5194/hess-30-1023-2026>; photovoltaic energy in Bichet et al. (2019) <doi:10.1088/1748-9326/ab500a>.
Author: Guillaume Evin [aut, cre]
Maintainer: Guillaume Evin <guillaume.evin@inrae.fr>

Diff between QUALYPSO versions 3.0 dated 2026-05-12 and 3.1 dated 2026-05-28

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Package h3sdm updated to version 0.1.3 with previous version 0.1.2 dated 2026-05-22

Title: Species Distribution Modeling with H3 Grids
Description: Provides tools for species distribution modeling using H3 hexagonal grids (Uber Technologies Inc., 2022, <https://h3geo.org>). Facilitates retrieval of species occurrence records, generation of H3 grids, computation of landscape metrics, and preparation of spatial data for modern species distribution models workflows. Designed for biodiversity and landscape ecology research.
Author: Manuel Spinola [aut, cre]
Maintainer: Manuel Spinola <mspinola10@gmail.com>

Diff between h3sdm versions 0.1.2 dated 2026-05-22 and 0.1.3 dated 2026-05-28

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Package fechner readmission to version 1.0-4 with previous version 1.0-3 dated 2016-06-06

Title: Fechnerian Scaling of Discrete Object Sets
Description: Functions and example datasets for Fechnerian scaling of discrete object sets. User can compute Fechnerian distances among objects representing subjective dissimilarities, and other related information. See package?fechner for an overview.
Author: Ali Uenlue [aut, cre], Thomas Kiefer [aut, trl]
Maintainer: Ali Uenlue <aligalibuenlue@gmail.com>

This is a re-admission after prior archival of version 1.0-3 dated 2016-06-06

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Package corteza updated to version 0.6.9 with previous version 0.6.3 dated 2026-05-04

Title: AI Agent Runtime
Description: An agent runtime that gives Large Language Models (LLMs) from 'Anthropic' <https://www.anthropic.com/>, 'OpenAI' <https://openai.com/>, 'Moonshot' <https://www.moonshot.ai/>, and 'Ollama' <https://ollama.com/> direct access to a live R session with managed workspace state. Tools execute as R function calls with provenance tracking, and a deterministic retrieval system keeps relevant objects in context across turns. Three entry points: a shell command-line interface (CLI), a console read-eval-print-loop via chat(), and a Model Context Protocol (MCP) server via serve() for external clients.
Author: Troy Hernandez [aut, cre] , Grant McDermott [ctb] , Jorge Krzyzaniak [ctb], cornball.ai [cph]
Maintainer: Troy Hernandez <troy@cornball.ai>

Diff between corteza versions 0.6.3 dated 2026-05-04 and 0.6.9 dated 2026-05-28

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More information about corteza at CRAN
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Package tidyactuarial updated to version 0.1.3 with previous version 0.1.2 dated 2026-05-17

Title: Tidy Tools for Actuarial Mathematics and Life Contingencies
Description: Provides tidyverse-aligned tools for actuarial mathematics and life contingencies, including life tables, survival probabilities, actuarial present values of cash flows, life annuities, life insurance, premiums, reserves, multiple-life calculations, Monte Carlo simulation, and deterministic cash-flow diagrams. The package emphasizes clear actuarial notation, reproducible workflows, and pipe-friendly tools for actuarial education and applied actuarial analysis.
Author: Julian Fajardo [aut, cre]
Maintainer: Julian Fajardo <julian.fajardo1908@gmail.com>

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Package resevol updated to version 0.4.0.4 with previous version 0.4.0.2 dated 2025-05-01

Title: Simulate Agricultural Production and Evolution of Pesticide Resistance
Description: Simulates individual-based models of agricultural pest management and the evolution of pesticide resistance. Management occurs on a spatially explicit landscape that is divided into an arbitrary number of farms that can grow one of up to 10 crops and apply one of up to 10 pesticides. Pest genomes are modelled in a way that allows for any number of pest traits with an arbitrary covariance structure that is constructed using an evolutionary algorithm in the mine_gmatrix() function. Simulations are then run using the run_farm_sim() function. This package thereby allows for highly mechanistic social-ecological models of the evolution of pesticide resistance under different types of crop rotation and pesticide application regimes.
Author: A. Bradley Duthie [aut, cre] , Rose McKeon [aut, ctr], Rosie Mangan [ctr], Luc Bussi&eacute;re [ctr], Matthew Tinsley [ctr]
Maintainer: A. Bradley Duthie <brad.duthie@gmail.com>

Diff between resevol versions 0.4.0.2 dated 2025-05-01 and 0.4.0.4 dated 2026-05-28

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New package evacpath with initial version 0.1.0
Package: evacpath
Title: Least-Cost Pedestrian Evacuation Modeling
Version: 0.1.0
Description: Tools for road-constrained, least-cost pedestrian evacuation modeling. The package provides reusable functions for preparing hazard zones, generating road-based evacuation origin points, identifying escape/safety points, creating slope-based conductance surfaces, calculating least-cost distance to safety, and converting distance outputs into evacuation-time polygons. It is designed to support workflows like tsunami evacuation modeling while remaining adaptable to other regions and hazards. Tsunami-specific helpers support separate land-only hazard zones, water-combined escape zones, road-aware escape boundaries, and study-area inset cropping for quality assurance and quality control. Methods build on Cordero et al. (2025) <doi:10.1007/s44367-025-00018-y>, Lewis (2021) <doi:10.1007/s10816-021-09522-w>, and Joseph Lewis's 'leastcostpath' package (2023) <https://CRAN.R-project.org/package=leastcostpath>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1)
Imports: terra, leastcostpath, utils
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), devtools, fields
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-05-22 17:19:23 UTC; ec
Author: Elvin Cordero [aut, cre]
Maintainer: Elvin Cordero <elvin.cordero1@upr.edu>
Repository: CRAN
Date/Publication: 2026-05-28 18:50:02 UTC

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New package Dcurvature with initial version 0.0.3
Package: Dcurvature
Title: Discrete Curvature with 'shiny' Explorer
Version: 0.0.3
Description: Implements discrete curvature estimation for ordered planar point sequences using circumcenter geometry on consecutive triplets, exposed through compiled C plus plus (C++) code via 'Rcpp' for speed and numerical robustness. The package is useful for objective elbow detection in multivariate workflows, especially principal component analysis (PCA), where selecting the number of retained components can be subjective. It provides a 'shiny' interface that supports upload of raw datasets or explained-variance tables, computes Kaiser-Meyer-Olkin (KMO) sampling-adequacy diagnostics, evaluates individual and cumulative variance curves, and reports curvature- based decision rules (m* and m**) with visual summaries for reproducible component-selection decisions. References: Arney et al. (2001); Axler (2024) <doi:10.1007/978-3-031-41026-0>; Bjorklund (2019) <doi:10.1111/evo.13835>; Burden and Faires (2015); Chang et al. (2023) <https://CRAN.R-project.org/package=shiny>; Christen [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
Imports: Rcpp, shiny, readxl
Suggests: ggplot2, psych, testthat (>= 3.0.0)
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2026-05-22 21:00:55 UTC; jorgeandresjolahernandez
Author: Aquiles Darghan [aut], Jorge Jola [aut, cre]
Maintainer: Jorge Jola <jjolaher@purdue.edu>
Repository: CRAN
Date/Publication: 2026-05-28 19:00:02 UTC

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Package crystract updated to version 1.0.1 with previous version 1.0.0 dated 2026-03-20

Title: Crystallographic Information File (CIF) Data Processing Tools
Description: Provides a suite of functions to parse Crystallographic Information Files (.cif), extracting essential data such as chemical formulas, unit cell parameters, atomic coordinates, and symmetry operations. It also includes tools to calculate interatomic distances, identify bonded pairs using various algorithms (minimum_distance, brunner_nn_reciprocal, econ_nn, crystal_nn), determine nearest neighbor counts, and calculate bond angles. The package is designed to facilitate the preparation of crystallographic data for further analysis, including machine learning applications in materials science. Methods are described in: Brunner (1977) <doi:10.1107/S0567739477000461>; Hoppe (1979) <doi:10.1524/zkri.1979.150.14.23>; O'Keeffe (1979) <doi:10.1107/S0567739479001765>; Shannon (1976) <doi:10.1107/S0567739476001551>; Pan et al. (2021) <doi:10.1021/acs.inorgchem.0c02996>; Pauling (1960, ISBN:978-0801403330).
Author: Don Ngo [aut, cre] , Anirudh Prabhu [aut] , Julia-Maria Hubner [aut]
Maintainer: Don Ngo <dngo@carnegiescience.edu>

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New package CKNNRLD with initial version 0.1.2
Package: CKNNRLD
Title: Clustering-Based K-Nearest Neighbor Regression for Longitudinal Data
Version: 0.1.2
Description: Implements the 'CKNNRLD' algorithm (Clustering-Based K-Nearest Neighbor Regression for Longitudinal Data) for improving K-Nearest Neighbor ('KNN') regression on longitudinal data through cluster-based partitioning and localized prediction. Offers enhanced computational efficiency and accuracy for high-volume longitudinal datasets. The clustering is performed using the 'latrend' package, which provides a unified interface for various longitudinal clustering methods including 'KML' (K-Means for Longitudinal data). The acronym 'KNN' stands for K-Nearest Neighbor. The acronym 'KML' stands for K-Means for Longitudinal data. References: Loeloe MS, Tabatabaei SM, Sefidkar R, Mehrparvar AH, Jambarsang S (2025). "Boosting K-nearest neighbor regression performance for longitudinal data through a novel learning approach." BMC Bioinformatics, 26, 232. <doi:10.1186/s12859-025-06205-1>; Genolini C, Falissard B (2010). "KmL: k-means for longitudinal data." Computational Statistics, 25(2), 317-3 [...truncated...]
License: GPL-3
Encoding: UTF-8
Imports: Directional, graphics, Rfast, latrend
Depends: R (>= 3.5.0)
NeedsCompilation: no
Language: en-US
Packaged: 2026-05-20 19:59:55 UTC; sadegh-pc
Author: Mohammad Sadegh Loeloe [aut, cre], Seyyed Mohammad Tabatabaei [aut], Reyhane Sefidkar [aut], Amir Houshang Mehrparvar [aut], Sara Jambarsang [aut, ths]
Maintainer: Mohammad Sadegh Loeloe <mslbiostat@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-28 18:40:02 UTC

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Package lakhesis updated to version 1.1.2 with previous version 1.1 dated 2026-04-25

Title: Consensus Seriation for Binary Data
Description: Determining consensus seriations for binary incidence matrices, using a two-step process of Procrustes-fit correspondence analysis for heuristic selection of partial seriations and iterative regression to establish a single consensus. Contains the Lakhesis Calculator, a graphical platform for identifying seriated sequences. Collins-Elliott (2026) "Lakhesis: Consensus Seriation via Iterative Regression of Partial Rankings for Binary Data" <doi:10.1080/02664763.2026.2672564>.
Author: Stephen A. Collins-Elliott [aut, cre]
Maintainer: Stephen A. Collins-Elliott <sce@utk.edu>

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Package zarr updated to version 0.4.0 with previous version 0.3.0 dated 2026-04-18

Title: Native and Extensible R Driver for 'Zarr'
Description: The 'Zarr' specification is widely used to build libraries for the storage and retrieval of n-dimensional array data from data stores ranging from local file systems to the cloud. This package is a native 'Zarr' implementation in R with support for all required features of 'Zarr' version 3. It is designed to be extensible such that new stores, codecs and extensions can be added easily.
Author: Patrick Van Laake [aut, cre, cph]
Maintainer: Patrick Van Laake <patrick@vanlaake.net>

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Package BATSS updated to version 1.2.0 with previous version 1.1.1 dated 2025-10-02

Title: Bayesian Adaptive Trial Simulator Software (BATSS) for Generalised Linear Models
Description: Defines operating characteristics of Bayesian Adaptive Trials considering a generalised linear model response via Monte Carlo simulations of Bayesian GLM fitted via integrated Laplace approximations (INLA).
Author: Dominique-Laurent Couturier [aut, cre] , Liz Ryan [aut] , Rainer Puhr [aut], Thomas Jaki [aut] , Stephane Heritier [aut]
Maintainer: Dominique-Laurent Couturier <dominique.couturier@mrc-bsu.cam.ac.uk>

Diff between BATSS versions 1.1.1 dated 2025-10-02 and 1.2.0 dated 2026-05-28

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Package spray updated to version 1.1-1 with previous version 1.0-27 dated 2025-01-29

Title: Sparse Arrays and Multivariate Polynomials
Description: Sparse arrays interpreted as multivariate polynomials. Uses 'disordR' discipline (Hankin, 2022, <doi:10.48550/ARXIV.2210.03856>). To cite the package in publications please use Hankin (2022) <doi:10.48550/ARXIV.2210.10848>.
Author: Robin K. S. Hankin [aut, cre]
Maintainer: Robin K. S. Hankin <hankin.robin@gmail.com>

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Package pharmr updated to version 2.1.1 with previous version 2.1.0 dated 2026-05-11

Title: Interface to the 'Pharmpy' 'Pharmacometrics' Library
Description: Interface to the 'Pharmpy' 'pharmacometrics' library. The 'Reticulate' package is used to interface Python from R.
Author: Rikard Nordgren [aut, cre, cph], Stella Belin [aut, cph], Mats O. Karlsson [sad], Andrew C. Hooker [sad], Xiaomei Chen [sad], Sebastian Ueckert [sad] , Simon Buatois [rev], Joao A. Abrantes [rev], Emilie Schindler [rev], F. Hoffmann-La Roche Ltd. [fn [...truncated...]
Maintainer: Rikard Nordgren <rikard.nordgren@uu.se>

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Package nestedLogit updated to version 0.4.2 with previous version 0.4.0 dated 2026-03-06

Title: Nested Dichotomy Logistic Regression Models
Description: Provides functions for specifying and fitting nested dichotomy logistic regression models for a multi-category response and methods for summarising and plotting those models. Nested dichotomies are statistically independent, and hence provide an additive decomposition of tests for the overall 'polytomous' response. When the dichotomies make sense substantively, this method can be a simpler alternative to the standard 'multinomial' logistic model which compares response categories to a reference level. See: J. Fox (2016), "Applied Regression Analysis and Generalized Linear Models", 3rd Ed., ISBN 1452205663.
Author: John Fox [aut] , Michael Friendly [aut, cre] , Achim Zeileis [ctb]
Maintainer: Michael Friendly <friendly@yorku.ca>

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Package keypress updated to version 1.3.2 with previous version 1.3.1 dated 2023-12-10

Title: Wait for a Key Press in a Terminal
Description: Wait for a single key press at the 'R' prompt. This works in terminals, but does not currently work in the 'Windows' 'GUI', the 'macOS' 'GUI' ('R.app'), in 'Emacs' 'ESS', in an 'Emacs' shell buffer or in 'R Studio'. In these cases 'keypress' stops with an error message.
Author: Gabor Csardi [aut, cre, cph] , Jon Griffiths [aut], Posit Software, PBC [cph, fnd]
Maintainer: Gabor Csardi <csardi.gabor@gmail.com>

Diff between keypress versions 1.3.1 dated 2023-12-10 and 1.3.2 dated 2026-05-28

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Package CDGHMM updated to version 0.1.4 with previous version 0.1.3 dated 2026-05-27

Title: Hidden Markov Models for Multivariate Panel Data
Description: Estimates hidden Markov models from the family of Cholesky-decomposed Gaussian hidden Markov models (CDGHMM) under various missingness schemes. This family improves upon estimation of traditional Gaussian HMMs by introducing parsimony, as well as, controlling for dropped out observations and non-random missingness. See Neal, Sochaniwsky and McNicholas (2024) <DOI:10.1007/s11222-024-10462-0>.
Author: Mackenzie R. Neal [aut, cre] , Alexa A. Sochaniwsky [aut], Paul D. McNicholas [aut]
Maintainer: Mackenzie R. Neal <nealm6@mcmaster.ca>

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Package AutoDeskR updated to version 0.5.0 with previous version 0.1.5 dated 2024-09-10

Title: An Interface to the 'AutoDesk' 'API' Platform
Description: An interface to the 'AutoDesk' Platform Services ('APS') 'API' including the Authentication 'API' for obtaining 'OAuth2' tokens with expiry tracking, Data Management 'API' for managing buckets and objects across the platform's cloud services, Design Automation 'API' for running automated tasks on design files in the cloud, Model Derivative 'API' for translating design files into 'SVF', 'SVF2', 'OBJ', and 'STL' formats and extracting model data, Reality Capture 'API' for generating 3D models from photogrammetry image sets, and Viewer for rendering 2D and 3D models in 'Shiny' applications.
Author: Paul Govan [aut, cre, cph]
Maintainer: Paul Govan <paul.govan2@gmail.com>

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New package SSReliabilityClaytonMWD with initial version 1.0.2
Package: SSReliabilityClaytonMWD
Title: Stress-Strength Reliability Model with MWD Marginals via Clayton Copula
Version: 1.0.2
Description: Implements stress-strength reliability models under a dependent framework, where both stress and strength variables follow modified Weibull distributions and their dependence is modeled using a Clayton copula (Kizilaslan (2026) <doi:10.48550/arXiv.2604.12130>). The package provides several estimation procedures for model parameters and the stress-strength reliability R, including two-step maximum likelihood estimation (MLE), least squares estimation (LSE), weighted least squares estimation (WLSE), and maximum product of spacings (MPS). It also provides interval estimation using asymptotic confidence intervals based on MLE and bootstrap confidence intervals for all methods. In addition, functions are included for parameter estimation of the modified Weibull distribution (Lai et al. (2003) <doi:10.1109/TR.2002.805788>) and the two-parameter Weibull distribution, along with utilities to compute their probability density function, cumulative distribution function, quantile func [...truncated...]
Maintainer: Fatih Kizilaslan <fkizilaslan@yahoo.com>
Copyright: 2026 Fatih Kizilaslan
URL: https://github.com/fatihki/SSReliabilityClaytonMWD, https://fatihki.github.io/SSReliabilityClaytonMWD/
BugReports: https://github.com/fatihki/SSReliabilityClaytonMWD/issues
License: GPL (>= 3)
Depends: R (>= 4.1.0)
Encoding: UTF-8
LazyData: true
Imports: doRNG, knitr, stats
Suggests: rmarkdown, numDeriv, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-05-22 11:42:16 UTC; fatihkizilaslan
Author: Fatih Kizilaslan [aut, cre]
Repository: CRAN
Date/Publication: 2026-05-28 13:40:13 UTC

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New package rwetools with initial version 0.1.2
Package: rwetools
Title: Estimating Propensity Scores (PS), PS-Based Weights, and Effects
Version: 0.1.2
Description: Toolbox that provides a streamlined, end-to-end workflow for propensity score analysis in generating real-world evidence from real-world data. The package covers the full analytic pipeline - from estimating propensity scores via logistic regression, to calculating weights or creating a matched cohort, to generating publication-ready Table 1s with standardized mean differences and weighted balance diagnostics. It also estimates incidence rates, hazard ratios, risk ratios, and risk differences with support for stratified and direct-standardized analyses. All core functions produce formatted 'Excel' reports with embedded 'README' documentation, making results immediately shareable with collaborators and stakeholders. Methods are based on Rosenbaum and Rubin (1983) <doi:10.1093/biomet/70.1.41>, Austin (2011) <doi:10.1080/00273171.2011.568786>, and Desai et al. (2017) <doi:10.1097/EDE.0000000000000595>.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
Imports: stats, utils, parallel, survival, survey
Suggests: openxlsx, ggplot2, MatchIt, testthat (>= 3.0.0)
URL: https://github.com/hanseul0618/rwetools
NeedsCompilation: no
Packaged: 2026-05-22 02:23:19 UTC; hanse
Author: Hanseul Cho [aut, cre], Georg Hahn [aut], Janinne Ortega-Montiel [aut], Julie Paik [aut], Elisabetta Patorno [aut]
Maintainer: Hanseul Cho <hanseul0618@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-28 13:30:02 UTC

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New package remverse with initial version 0.1.0
Package: remverse
Title: A Meta-Package for Relational Event History Analysis
Version: 0.1.0
Maintainer: Joris Mulder <j.mulder3@tilburguniversity.edu>
Description: A unified workflow for relational event modeling by re-exporting core functions from 'remify', 'remstats', and 'remstimate'. Supports tie-oriented and actor-oriented modeling with frequentist and Bayesian estimation. Methods are described in Butts (2008) <doi:10.1111/j.1467-9531.2008.00203.x> and Stadtfeld and Block (2017) <doi:10.1177/0081175017709295>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.0), remify (>= 4.0.0), remstats (>= 4.0.0), remstimate (>= 3.0.0)
Suggests: knitr, rmarkdown
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-05-22 09:21:07 UTC; jorismulder
Author: Joris Mulder [aut, cre], Giuseppe Arena [aut], Roger Leenders [aut], Marlyne Meijerink-Bosman [aut], Rumana Lakdawala [aut], Fabio Generoso Vieira [aut], Mahdi Shafiee Kamalabad [ctb], Diana Karimova [ctb]
Repository: CRAN
Date/Publication: 2026-05-28 13:30:08 UTC

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New package remdata with initial version 0.2.0
Package: remdata
Title: A Collection of Empirical and Simulated Relational Event Data Sequences
Version: 0.2.0
Description: Empirical and simulated data for relational event analyses. Each dataset consists of a relational event sequence and optional actor attributes. Individual datasets are redistributed under their original licenses as documented in inst/DATA_LICENSES.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.0.0)
LazyDataCompression: xz
NeedsCompilation: no
Packaged: 2026-05-22 09:37:57 UTC; jorismulder
Author: Joris Mulder [aut, cre], Roger Leenders [aut], Diana Karimova [aut], Marlyne Meijerink-Bosman [aut], Giuseppe Arena [aut], Rumana Lakdawala [aut], Mahdi Shafiee Kamalabad [ctb], Fabio Generoso Vieira [ctb]
Maintainer: Joris Mulder <j.mulder3@tilburguniversity.edu>
Repository: CRAN
Date/Publication: 2026-05-28 13:30:13 UTC

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Package nara updated to version 1.0.2 with previous version 1.0.1 dated 2026-05-27

Title: Native Raster Image Tools
Description: Native rasters are a core R image format which use a compact color representation. This color representation closely aligns with graphics device internals meaning that these images can be rendered quickly. This package provides functions to quickly create, manipulate and composite native rasters.
Author: Mike Cheng [aut, cre, cph], Julien Vernay [ctb]
Maintainer: Mike Cheng <mikefc@coolbutuseless.com>

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Package ipeadatar updated to version 0.2.0 with previous version 0.1.6 dated 2022-02-03

Title: API Wrapper for 'Ipeadata'
Description: Provides direct access to the macroeconomic, financial, and regional database maintained by the Institute for Applied Economic Research (Ipea) via the Ipeadata API. For more information, see <https://www.ipeadata.gov.br/>.
Author: Luiz Eduardo Gomes [aut, cre] , Daniel Herszenhut [ctb] , Instituto de Pesquisa Economica Aplicada [cph, fnd]
Maintainer: Luiz Eduardo Gomes <luiz.gomes@ipea.gov.br>

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Package influential updated to version 2.3.1 with previous version 2.3.0 dated 2026-02-13

Title: Identification and Classification of the Most Influential Nodes
Description: Provides functions for the identification, classification, and ranking of influential nodes and candidate features from network and omics data. The package implements the Integrated Value of Influence (IVI) for integrative network centrality analysis, the SIR-based Influence Ranking (SIRIR) model for unsupervised influence ranking, and the Experimental data-based Integrative Ranking (ExIR) model for prioritizing candidate driver, biomarker, and mediator features from experimental omics data. Functions are provided for network reconstruction from adjacency matrices and data frames, topological analysis, centrality calculation, assessment of associations between centrality measures, and conditional probability analysis. ExIR supports bulk and single-cell omics data, including matrices, sparse matrices, data frames, tibbles, and Seurat objects.
Author: Adrian Salavaty [aut, cre] , Mirana Ramialison [ths], Peter D. Currie [ths]
Maintainer: Adrian Salavaty <abbas.salavaty@gmail.com>

Diff between influential versions 2.3.0 dated 2026-02-13 and 2.3.1 dated 2026-05-28

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New package gdxtools with initial version 1.1.1
Package: gdxtools
Title: Manipulate 'GDX' Files
Version: 1.1.1
Date: 2026-05-22
SystemRequirements: GAMS (>= 24.2.1) is only required if you call gams()
Description: Read and write 'GDX' files ('GAMS' data exchange) and convert parameters, sets and variables to data frames. Backed by the 'GAMS'-maintained 'gamstransfer' package; no compiled code is shipped. See <https://www.gams.com/latest/docs/UG_GDX.html> for the 'GDX' format.
License: EPL-1.0
URL: https://github.com/lolow/gdxtools
BugReports: https://github.com/lolow/gdxtools/issues
Imports: gamstransfer (>= 3.0)
Suggests: testthat, microbenchmark
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2026-05-22 11:08:27 UTC; lolow
Author: Laurent Drouet [aut, cre]
Maintainer: Laurent Drouet <ldrouet@pm.me>
Repository: CRAN
Date/Publication: 2026-05-28 13:40:02 UTC

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New package demovuln with initial version 0.1.0
Package: demovuln
Title: Demographic Vulnerability Metrics for Matrix Population Models
Version: 0.1.0
Description: Simulates temporally structured perturbations in matrix population models and computes population reduction and integrated demographic vulnerability across perturbation regimes. Perturbations can be applied to adult survival, juvenile survival, fecundity, all demographic entries, or user-defined matrix elements. The package provides tools to simulate individual perturbation trajectories, evaluate perturbation grids, and summarize demographic vulnerability in structured populations.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: ggplot2, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://github.com/agimenezromero/demovuln-r
BugReports: https://github.com/agimenezromero/demovuln-r/issues
NeedsCompilation: no
Packaged: 2026-05-22 11:12:33 UTC; alex
Author: Àlex Gimenez-Romero [aut, cre] , Meritxell Genovart [aut]
Maintainer: Àlex Gimenez-Romero <alex.gimenez@csic.es>
Repository: CRAN
Date/Publication: 2026-05-28 13:40:07 UTC

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Package bedrockbio updated to version 1.4.0 with previous version 1.3.1 dated 2026-05-18

Title: Open-Access Computational Biology Datasets
Description: Efficiently access the 'Bedrock Bio' library of open-access computational biology datasets. Lazily query datasets backed by 'DuckDB' and 'Apache Iceberg', with support for predicate pushdown and column projection to the cloud storage backend. This enables quick, iterative access to otherwise massive, unwieldy datasets without downloading them in full. See <https://bedrock.bio> for available datasets and documentation.
Author: Liam Abbott [aut, cre, cph]
Maintainer: Liam Abbott <liam@bedrock.bio>

Diff between bedrockbio versions 1.3.1 dated 2026-05-18 and 1.4.0 dated 2026-05-28

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New package SampleCore with initial version 0.1.0
Package: SampleCore
Title: Sampling Strategies for Constructing Core Collections
Version: 0.1.0
Description: Implements multiple allocation and selection strategies of sampling to construct core collections primarily from clustered or grouped germplasm collection data. Provides methods for allocating entries to clusters/groups based on group sizes, group-wise distance-based diversity metrics, and group-wise diversity index estimates. Includes procedures for selecting entries within clusters/groups through random sampling, genetic distance-based approaches, and optimized diversity metric–based selection methods. See the package documentation for more, including full list of references for the methods implemented.
License: GPL (>= 2)
Encoding: UTF-8
BuildManual: TRUE
Imports: cluster, DiversityStats, ggplot2, igraph, MASS, mathjaxr, prospectr, Rdpack, Rtsne, stats, vegan
Suggests: biotools, dbscan, EvaluateCore, fastcluster, knitr, pander, rmarkdown
Copyright: 2024-2026, ICAR-NBPGR
URL: https://github.com/aravind-j/SampleCore https://aravind-j.github.io/SampleCore/
BugReports: https://github.com/aravind-j/SampleCore/issues
Depends: R (>= 3.5)
NeedsCompilation: no
Packaged: 2026-05-21 04:21:51 UTC; Aravind-DGC
Author: J. Aravind [aut, cre] , Suman Roy [aut] , Anju Mahendru Singh [aut] , ICAR-NBGPR [cph]
Maintainer: J. Aravind <j.aravind@icar.org.in>
Repository: CRAN
Date/Publication: 2026-05-28 13:00:02 UTC

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New package SAFEMCN with initial version 1.0.0
Package: SAFEMCN
Title: Network Topology Parameter Analysis with Rarefaction
Version: 1.0.0
Description: Calculate network topology parameters from Operational Taxonomic Unit (OTU) tables with customizable correlation thresholds, parallel processing options, and visualization capabilities including trend fitting, prediction of future sample sizes, and lag-1 autocorrelation (AR1) analysis. Methods are based on co-occurrence network construction via correlation thresholds and graph-theoretic metrics computed with 'igraph'.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: igraph, Hmisc, parallel, ggplot2, grDevices, graphics, rlang, stats, utils
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-05-22 01:53:31 UTC; 童小徐
Author: Xiaotong Xu [aut, cre], Yue Zheng [cph]
Maintainer: Xiaotong Xu <xxt19992014@163.com>
Repository: CRAN
Date/Publication: 2026-05-28 13:00:05 UTC

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Package rasterImage updated to version 0.4.1 with previous version 0.4.0 dated 2019-10-14

Title: An Improved Wrapper of image()
Description: This is a wrapper function for image(), which makes reasonable raster plots with nice axis and other useful features.
Author: Martin Seilmayer [aut, cre]
Maintainer: Martin Seilmayer <martin.seilmayer@dhsn.de>

Diff between rasterImage versions 0.4.0 dated 2019-10-14 and 0.4.1 dated 2026-05-28

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Package myTAI updated to version 2.3.6 with previous version 2.3.5 dated 2026-02-05

Title: Evolutionary Transcriptomics
Description: Investigate the evolution of biological processes by capturing evolutionary signatures in transcriptomes (Drost et al. (2018) <doi:10.1093/bioinformatics/btx835>). This package aims to provide a transcriptome analysis environment to quantify the average evolutionary age of genes contributing to a transcriptome of interest.
Author: Hajk-Georg Drost [aut, cre] , Stefan Manolache [aut, ctb] , Jaruwatana Sodai Lotharukpong [aut, ctb] , Nikola Kalabova [aut, ctb] , Filipa Martins Costa [aut, ctb], Kristian K Ullrich [aut, ctb]
Maintainer: Hajk-Georg Drost <hajk-georg.drost@tuebingen.mpg.de>

Diff between myTAI versions 2.3.5 dated 2026-02-05 and 2.3.6 dated 2026-05-28

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New package modeldiag with initial version 0.1.0
Package: modeldiag
Title: Comprehensive Diagnostics for Statistical Models
Version: 0.1.0
Description: Provides a unified framework for diagnosing common issues in statistical models including linear models, generalized linear models (logistic and Poisson regression), and survival models. Implements tests for multicollinearity, heteroscedasticity, autocorrelation, normality, influential observations, overdispersion, zero-inflation, and proportional hazards assumptions. Includes visualization methods for graphical diagnostics. Methods are based on established approaches including Fox and Monette (1992) <doi:10.1080/01621459.1992.10475190>, Breusch and Pagan (1979) <doi:10.2307/1911963>, and Dean and Lawless (1989) <doi:10.1080/01621459.1989.10478792>.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/Teniola17/modeldiag
BugReports: https://github.com/Teniola17/modeldiag/issues
Depends: R (>= 3.5.0)
Imports: stats, graphics, car, lmtest, ResourceSelection, survival
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-05-21 14:47:02 UTC; EmmanuelAdewuyi
Author: Emmanuel Adewuyi [aut, cre], Adewale Lukman [aut], Abiola Owolabi [ctb]
Maintainer: Emmanuel Adewuyi <emmanuel.adewuyi@lshtm.ac.uk>
Repository: CRAN
Date/Publication: 2026-05-28 12:40:02 UTC

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New package llmshieldr with initial version 0.1.0
Package: llmshieldr
Title: Safety Guardrails for Large Language Model Workflows
Version: 0.1.0
Description: A model-agnostic safety layer for developers building with large language model (LLM) applications. Maps starter controls to the Open Worldwide Application Security Project Top 10 for Large Language Model Applications 2025 risk categories <https://genai.owasp.org/llm-top-10/> via a modular rule engine. Supports regular-expression rules, lightweight natural language processing (NLP) intent checks, optional scanners, and semantic large language model reviewer checks on prompts, conversations, retrieved context, tool inputs and outputs, streaming chunks, and model outputs. Supports workflows with the 'Ollama' local web service <https://ollama.com/> via 'ellmer', remote reviewer endpoints, and other chat interfaces callable from 'R'. Intended as an experimental guardrail layer that teams should evaluate against their own workflows before relying on it in production.
License: Apache License (>= 2)
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: jsonlite, cli, rlang, digest, stringi
Suggests: ellmer, httr2, processx, filelock, htmltools, covr, lintr, plumber, shiny, testthat (>= 3.0.0), knitr, rmarkdown, withr, dplyr, tokenizers, SnowballC
VignetteBuilder: knitr
URL: https://www.indraneelchakraborty.com/llmshieldr/, https://github.com/ineelhere/llmshieldr, https://genai.owasp.org/llm-top-10/
BugReports: https://github.com/ineelhere/llmshieldr/issues
NeedsCompilation: no
Packaged: 2026-05-21 18:26:34 UTC; neel0
Author: Indraneel Chakraborty [aut, cre, cph]
Maintainer: Indraneel Chakraborty <hello.indraneel@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-28 12:50:02 UTC

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New package fable.bayesRecon with initial version 0.1.0
Package: fable.bayesRecon
Date: 2026-05-05
Title: Bayesian Reconciliation in the 'fable' Framework
Version: 0.1.0
Description: Implements the 'bayesRecon' probabilistic reconciliation methods within the 'fable' framework for hierarchical time series forecasting. Bayesian reconciliation (bayesRecon) methods are accessed via the 'reconcile' verb, following 'fable' conventions. For methodological background, see Corani et al. (2021) <doi:10.1007/978-3-030-67664-3_13>, Zambon et al. (2024a) <doi:10.1007/s11222-023-10343-y>, Zambon et al. (2024b) <https://proceedings.mlr.press/v244/zambon24a.html>, and Carrara et al. (2025) <doi:10.48550/arXiv.2506.19554>.
License: LGPL (>= 3)
URL: https://github.com/dazzimonti/fable.bayesRecon
BugReports: https://github.com/dazzimonti/fable.bayesRecon/issues
Encoding: UTF-8
Imports: stats, bayesRecon, fabletools (>= 0.7.0), purrr, vctrs, distributional, dplyr, tsibble, rlang
Suggests: testthat (>= 3.0.0), cli, fable, tsibbledata, tibble, ggplot2, scales, knitr, rmarkdown
VignetteBuilder: knitr
Depends: R (>= 4.1)
NeedsCompilation: no
Packaged: 2026-05-21 13:56:12 UTC; dario.azzimonti
Author: Dario Azzimonti [aut, cre, cph] , Stefano Damato [aut] , Lorenzo Zambon [aut] , Chiara Carrara [aut] , Giorgio Corani [aut]
Maintainer: Dario Azzimonti <dario.azzimonti@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-28 12:20:06 UTC

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New package ELAplus with initial version 1.0.2
Package: ELAplus
Language: en-US
Title: Energy Landscape Analysis for Ecological Communities
Version: 1.0.2
Date: 2026-05-15
Author: Kenta Suzuki [aut, cre, cph], Sotaro Takano [aut], Hiroaki Fujita [aut], Zeus Sato [ctb], Fumihiko Ayabe [ctb]
Maintainer: Kenta Suzuki <kenta.suzuki.zk@riken.jp>
Encoding: UTF-8
License: BSD_3_clause + file LICENSE
Description: Energy landscape analysis (ELA) is a systematic method for analyzing an energy landscape represented as a weighted network. This R package is especially designed to analyze ecological dynamics, i.e., transitions in community compositions. For details of the analysis framework, please visit Suzuki K et al. (2021) <doi:10.1002/ecm.1469>.
Depends: R (>= 4.1.0)
Imports: Rcpp (>= 1.0.11), doParallel, RColorBrewer, foreach, dplyr, magrittr, stringdist, gtools, ggplot2, purrr, rlang, tidyr, data.table, stringr, igraph
Suggests: cluster, plot3D, fpc, quanteda, slam, stm, topicmodels, tidyverse, Matrix, glmnet, gsubfn, zoo, ggsci, tidygraph, vegan, knitr, rmarkdown
VignetteBuilder: knitr
LinkingTo: Rcpp, RcppArmadillo
NeedsCompilation: yes
LazyData: true
Packaged: 2026-05-15 08:49:40 UTC; str_mac
Repository: CRAN
Date/Publication: 2026-05-28 12:20:11 UTC

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New package DICErClust with initial version 0.1.2
Package: DICErClust
Title: Deep Significance Clustering for Clinical Risk Stratification
Version: 0.1.2
Description: We provide an R implementation of Deep Significance Clustering (DICE), a self-supervised learning framework designed to identify clinically meaningful and risk-stratified patient subgroups from electronic health record (EHR) data. DICE jointly optimizes deep representation learning, clustering, and outcome prediction while enforcing statistical significance between predicted outcomes and cluster membership. This integrated optimization produces subgroups that are both clinically coherent and predictive, addressing a gap where traditional unsupervised clustering methods and supervised risk prediction models alone may fail to generate actionable clinical groupings. See Huang et al. (2021) <doi:10.1093/jamia/ocab203>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: argparser, ggplot2, torch, pROC
Suggests: knitr, rmarkdown, scales
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-05-21 22:05:42 UTC; sarahayton
Author: Sarah Ayton [aut, cre] , Yiye Zhang [aut]
Maintainer: Sarah Ayton <saa7050@med.cornell.edu>
Repository: CRAN
Date/Publication: 2026-05-28 12:50:09 UTC

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Package CSTools updated to version 5.3.2 with previous version 5.3.1 dated 2026-03-17

Title: Assessing Skill of Climate Forecasts on Seasonal-to-Decadal Timescales
Description: Exploits dynamical seasonal forecasts in order to provide information relevant to stakeholders at the seasonal timescale. The package contains process-based methods for forecast calibration, bias correction, statistical and stochastic downscaling, optimal forecast combination and multivariate verification, as well as basic and advanced tools to obtain tailored products. This package was developed in the context of the ERA4CS project MEDSCOPE and the H2020 S2S4E project and includes contributions from ArticXchange project founded by EU-PolarNet 2. Implements methods described in Pérez-Zanón et al. (2022) <doi:10.5194/gmd-15-6115-2022>, Doblas-Reyes et al. (2005) <doi:10.1111/j.1600-0870.2005.00104.x>, Mishra et al. (2018) <doi:10.1007/s00382-018-4404-z>, Sanchez-Garcia et al. (2019) <doi:10.5194/asr-16-165-2019>, Straus et al. (2007) <doi:10.1175/JCLI4070.1>, Terzago et al. (2018) <doi:10.5194/nhess-18-2825-2018>, Torralba et al. (2017) <doi:10.117 [...truncated...]
Author: Nuria Perez-Zanon [aut] , Louis-Philippe Caron [aut] , Carmen Alvarez-Castro [aut] , Lauriane Batte [aut], Carlos Delgado [aut], Jost von Hardenberg [aut] , Llorenc LLedo [aut], Nicolau Manubens [aut], Lluis Palma [aut], Eroteida Sanchez-Garcia [aut] [...truncated...]
Maintainer: Victoria Agudetse <victoria.agudetse@bsc.es>

Diff between CSTools versions 5.3.1 dated 2026-03-17 and 5.3.2 dated 2026-05-28

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 23 files changed, 1305 insertions(+), 1025 deletions(-)

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New package accbaseballr with initial version 0.1.3
Package: accbaseballr
Title: ACC Baseball Datasets with Advanced Sabermetric Metrics
Version: 0.1.3
Description: Provides curated ACC (Atlantic Coast Conference) baseball datasets at the player-season level, including traditional statistics and advanced sabermetric metrics such as weighted on-base average (wOBA), weighted runs created plus (wRC+), and fielding-independent pitching (FIP).
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
LazyData: true
LazyDataCompression: xz
URL: https://github.com/hvb210/accbaseballr
BugReports: https://github.com/hvb210/accbaseballr/issues
NeedsCompilation: no
Packaged: 2026-05-21 15:15:59 UTC; hbaskin
Author: Hana Baskin [aut, cre, cph]
Maintainer: Hana Baskin <hana.baskin@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-28 12:40:06 UTC

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New package varGuidTS with initial version 0.1.13
Package: varGuidTS
Version: 0.1.13
Date: 2026-05-20
Title: Variance-Guided Time-Series Modeling for Temporal Risk Detection
Author: Zihao Wang [aut], Min Lu [aut, cre]
Maintainer: Min Lu <luminwin@gmail.com>
BugReports: https://github.com/zionwzz/variance-guided-risk-demo/issues
Depends: R (>= 4.1.0)
Imports: stats, glmnet
Suggests: testthat (>= 3.0.0)
Description: Fits balanced-panel autoregressive models with conditional heteroscedasticity for temporal risk detection. The main estimator combines autoregressive exogenous mean modeling with GARCH-X variance modeling, subject-specific baseline terms, shared population coefficients, and L1 penalization for high-dimensional covariates. The package returns conditional mean and variance estimates, coefficient summaries, simulations, and exceedance-based risk scores defined as estimated conditional threshold-exceedance probabilities. The implementation builds on the lasso of Tibshirani (1996) <doi:10.1111/j.2517-6161.1996.tb02080.x>, generalized autoregressive conditional heteroscedasticity of Bollerslev (1986) <doi:10.1016/0304-4076(86)90063-1>, and L1-regularized high-dimensional time-series modeling of Medeiros and Mendes (2016) <doi:10.1016/j.jeconom.2015.10.011>.
License: MIT + file LICENSE
URL: https://github.com/zionwzz/variance-guided-risk-demo
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-05-20 18:10:00 UTC; minlu
Repository: CRAN
Date/Publication: 2026-05-28 11:10:02 UTC

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New package unitcm with initial version 0.1.2
Package: unitcm
Version: 0.1.2
Title: Client for the 'UniTCM' Traditional Chinese Medicine Platform
Description: Provides functions to query the 'UniTCM' API (<https://unitcm.qfxulab.com>), covering herb exploration, compound/ADMET (Absorption, Distribution, Metabolism, Excretion, and Toxicity) data, disease-formula associations, Traditional Chinese Medicine (TCM) ontology, transcriptomics, and gene-disease analysis (MIDAS, Mining Integrated Disease Association Sources).
Author: Xiao Zheng [aut, cre]
Maintainer: Xiao Zheng <12519088@zju.edu.cn>
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: httr2 (>= 1.0.0), tibble (>= 3.0.0), dplyr (>= 1.1.0), rlang (>= 1.0.0), cli, glue
Suggests: igraph (>= 1.4.0), tidygraph, ggplot2 (>= 3.4.0), ggraph, keyring, testthat (>= 3.0.0), httptest2, withr, knitr, rmarkdown, pkgdown
URL: https://zx122ty.github.io/UniTCM_R_Package/, https://github.com/zx122ty/UniTCM_R_Package
BugReports: https://github.com/zx122ty/UniTCM_R_Package/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-05-21 02:10:50 UTC; since
Repository: CRAN
Date/Publication: 2026-05-28 11:10:08 UTC

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New package spima with initial version 0.2.0
Package: spima
Title: Simulated Pseudo-Individual Data Meta-Analysis with ABC-SMC
Version: 0.2.0
Description: Meta-analysis via Approximate Bayesian Computation Sequential Monte Carlo (ABC-SMC) by simulating pseudo-individual data from published group-level summary statistics. Handles binary, continuous, and generic effect-size outcomes within a one-stage mixed-model framework. Supports subgroup analysis.
License: MIT + file LICENSE
Depends: R (>= 3.5.0)
Imports: lme4, parallel, stats, methods, Rcpp
Suggests: ggplot2, testthat, knitr, rmarkdown
LinkingTo: Rcpp, RcppArmadillo
SystemRequirements: GNU make
URL: https://github.com/HaichuanYu0703/SPIMA
BugReports: https://github.com/HaichuanYu0703/SPIMA/issues
Encoding: UTF-8
LazyData: true
NeedsCompilation: yes
Packaged: 2026-05-21 09:13:32 UTC; yu-ha
Author: Yu Haichuan [aut, cre, cph]
Maintainer: Yu Haichuan <yuhaichuan@whu.edu.cn>
Repository: CRAN
Date/Publication: 2026-05-28 11:30:01 UTC

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New package spefa with initial version 0.1.0
Package: spefa
Title: Spatial Stochastic Frontier with Fixed Effects and Endogeneity
Version: 0.1.0
Description: Maximum-likelihood estimation of the spatial autoregressive stochastic frontier model with individual fixed effects (removed by first differencing) and endogenous regressors handled through a Gaussian control function, as in Giannini (2025) <doi:10.1080/17421772.2024.2414962>. Returns coefficient estimates and standard errors, spatially-corrected technical (in)efficiency scores, and direct, indirect and total marginal impacts. Depends only on base R.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: stats
LazyData: true
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-05-21 06:32:07 UTC; root
Author: Massimo Giannini [aut, cre]
Maintainer: Massimo Giannini <massimo.giannini@uniroma2.it>
Repository: CRAN
Date/Publication: 2026-05-28 11:10:17 UTC

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Package rSpectral updated to version 1.0.0.16 with previous version 1.0.0.14 dated 2025-12-07

Title: Spectral Modularity Clustering
Description: Implements the network clustering algorithm described in Newman (2006) <doi:10.1103/PhysRevE.74.036104>. The complete iterative algorithm comprises of two steps. In the first step, the network is expressed in terms of its leading eigenvalue and eigenvector and recursively partition into two communities. Partitioning occurs if the maximum positive eigenvalue is greater than the tolerance (10e-5) for the current partition, and if it results in a positive contribution to the Modularity. Given an initial separation using the leading eigen step, 'rSpectral' then continues to maximise for the change in Modularity using a fine-tuning step - or variate thereof. The first stage here is to find the node which, when moved from one community to another, gives the maximum change in Modularity. This node’s community is then fixed and we repeat the process until all nodes have been moved. The whole process is repeated from this new state until the change in the Modularity, between the new and o [...truncated...]
Author: Colin Mclean [aut] , Anatoly Sorokin [aut, cre]
Maintainer: Anatoly Sorokin <lptolik@gmail.com>

Diff between rSpectral versions 1.0.0.14 dated 2025-12-07 and 1.0.0.16 dated 2026-05-28

 DESCRIPTION                        |   10 +++++-----
 MD5                                |   12 ++++++------
 R/igraph.R                         |    6 +++++-
 build/partial.rdb                  |binary
 man/spectral_igraph_communities.Rd |    2 ++
 man/spectral_igraph_membership.Rd  |    2 ++
 tests/testthat/test-igraph.R       |    9 ++++++++-
 7 files changed, 28 insertions(+), 13 deletions(-)

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Package rmumps updated to version 5.2.1-43 with previous version 5.2.1-42 dated 2026-05-26

Title: Wrapper for MUMPS Library
Description: Some basic features of 'MUMPS' (Multifrontal Massively Parallel sparse direct Solver) are wrapped in a class whose methods can be used for sequentially solving a sparse linear system (symmetric or not) with one or many right hand sides (dense or sparse). There is a possibility to do separately symbolic analysis, LU (or LDL^t) factorization and system solving. Third part ordering libraries are included and can be used: 'PORD', 'METIS', 'SCOTCH'. 'MUMPS' method was first described in Amestoy et al. (2001) <doi:10.1137/S0895479899358194> and Amestoy et al. (2006) <doi:10.1016/j.parco.2005.07.004>.
Author: Serguei Sokol [aut, cre], Emmanuel Agullo [ctb], Patrick Amestoy [ctb, cph], Maurice Bremond [ctb], Alfredo Buttari [ctb], Philippe Combes [ctb], Marie Durand [ctb], Aurelia Fevre [ctb], Abdou Guermouche [ctb], Guillaume Joslin [ctb], Jacko Koster [c [...truncated...]
Maintainer: Serguei Sokol <sokol@insa-toulouse.fr>

Diff between rmumps versions 5.2.1-42 dated 2026-05-26 and 5.2.1-43 dated 2026-05-28

 DESCRIPTION |    6 +++---
 MD5         |    6 +++---
 NEWS        |   11 ++++++++---
 src/init.c  |    3 ++-
 4 files changed, 16 insertions(+), 10 deletions(-)

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New package OSIRCR with initial version 0.2.9
Package: OSIRCR
Title: Cosine Regression-Based Online Sliced Inverse Regression Algorithm
Version: 0.2.9
Author: Guangbao Guo [aut, cre], Sirui Yan [aut]
Maintainer: Guangbao Guo <ggb11111111@163.com>
Description: In high-dimensional streaming data analysis, extracting core periodic features under real-time constraints remains challenging. Traditional dimension reduction methods fail to adapt to incremental data and yield low accuracy due to irrelevant variables. This package provides the Online Sliced Inverse Regression framework for cosine regression with high-dimensional irrelevant variables. It integrates subspace extraction of sliced inverse regression and incremental learning of online algorithms to efficiently handle periodic streaming data. Cai, Z., Li, R., & Zhu, L. (2020) <doi:10.48550/arXiv.2002.02795>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: stats
NeedsCompilation: no
LazyData: true
Packaged: 2026-05-20 14:17:04 UTC; Lenovo
Language: en-US
Repository: CRAN
Date/Publication: 2026-05-28 11:10:28 UTC

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Package joinpointR updated to version 0.6.2 with previous version 0.6.0 dated 2026-05-19

Title: Tidy Tools for Joinpoint Regression Models
Description: Provides tools to fit joinpoint regression models with a log-linear specification by levels of a categorical variable. The package acts as a wrapper around the 'segmented' package, facilitating model fitting, selection, and interpretation. It includes functions to estimate the Annual Percent Change (APC) and the Average Annual Percent Change (AAPC), along with their 95% confidence intervals, and to generate formatted summary tables and plots of results.
Author: Tamara Ricardo [aut, cre]
Maintainer: Tamara Ricardo <tamararicardo83@gmail.com>

Diff between joinpointR versions 0.6.0 dated 2026-05-19 and 0.6.2 dated 2026-05-28

 DESCRIPTION  |    8 ++++----
 MD5          |    6 +++---
 NEWS.md      |    7 ++++---
 R/model_jp.R |    9 +++++----
 4 files changed, 16 insertions(+), 14 deletions(-)

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New package ggspec with initial version 0.1.0
Package: ggspec
Title: Extract and Compare 'ggplot2' Plot Specifications as Tidy Data Frames
Version: 0.1.0
Author: Clement Lee [aut, cre]
Maintainer: Clement Lee <clement.lee.tm@outlook.com>
Description: Inspects 'ggplot' objects by extracting their full declarative specification - layers, aesthetic mappings, scales, facets, coordinate systems, and labels - as tidy data frames. A second tier of functions enables structural comparison of two 'ggplot' objects, supporting automated plot testing, auditing, and framework-agnostic grading workflows. Unlike 'ggcheck', which is designed exclusively for 'learnr'/'gradethis' pipelines and returns ad-hoc objects, 'ggspec' returns rectangular, pipeable output and does not require any grading framework as a dependency.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: ggplot2 (>= 3.4.0), rlang (>= 1.1.0), tibble (>= 3.2.0), dplyr (>= 1.1.0)
Suggests: learnr, palmerpenguins, testthat (>= 3.0.0), knitr, rmarkdown, MASS, covr
VignetteBuilder: knitr
URL: https://github.com/clement-lee/ggspec
BugReports: https://github.com/clement-lee/ggspec/issues
NeedsCompilation: no
Packaged: 2026-05-21 10:14:20 UTC; ntl34
Repository: CRAN
Date/Publication: 2026-05-28 11:30:07 UTC

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Package fdicdata readmission to version 0.1.2 with previous version 0.1.1 dated 2024-09-12

Title: Accessing FDIC Bank Data
Description: A system provides a set of functions for working with data from the Federal Deposit Insurance Corporation (FDIC), including retrieving financial data for FDIC-insured institutions and accessing the data taxonomy.
Author: Ugur Dar [aut, cre], Brian Pillmore [aut, cph]
Maintainer: Ugur Dar <ugurdarr@gmail.com>

This is a re-admission after prior archival of version 0.1.1 dated 2024-09-12

Diff between fdicdata versions 0.1.1 dated 2024-09-12 and 0.1.2 dated 2026-05-28

 DESCRIPTION                              |   12 ++-
 MD5                                      |   63 ++++++++++---------
 NAMESPACE                                |    5 +
 R/cert2idrssd.R                          |   32 ++++-----
 R/dataTaxonomy.R                         |   29 ++++----
 R/getFailures.R                          |   18 +++--
 R/getFinancials.R                        |   22 +++---
 R/getHistory.R                           |   20 +++---
 R/getInstitution.R                       |   19 +++--
 R/getInstitutionsAll.R                   |   24 +++----
 R/getLocation.R                          |   20 +++---
 R/getSummary.R                           |   17 +++--
 R/getTaxonomy.R                          |   29 ++++++--
 R/utils_fetch.R                          |only
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 man/getLocation.Rd                       |    7 +-
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 tests/testthat/test-getHistory.R         |    6 +
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 tests/testthat/test-getLocation.R        |    7 +-
 tests/testthat/test-getSummary.R         |    6 +
 34 files changed, 309 insertions(+), 223 deletions(-)

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New package cellkeyperturbation with initial version 3.0.0
Package: cellkeyperturbation
Title: Cell Key Perturbation
Version: 3.0.0
Description: Provides functions to generate frequency tables and apply cell key perturbation to protect against statistical disclosure in tabular outputs. The implemented methods are described in "Cell Key Perturbation User Guide" <https://github.com/ONSdigital/cell-key-perturbation-R/blob/main/documentation/SML_UserDoc_CKP_R.md>. Developed at the UK Office for National Statistics.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: bigrquery, DBI, knitr, rmarkdown, testthat (>= 3.0.0)
Imports: data.table
Depends: R (>= 3.5.0)
LazyData: true
VignetteBuilder: knitr
URL: https://github.com/ONSdigital/cell-key-perturbation-R
BugReports: https://github.com/ONSdigital/cell-key-perturbation-R/issues
NeedsCompilation: no
Packaged: 2026-05-21 10:57:32 UTC; aydina
Author: Iain Dove [aut, cph], Ahmet Aydin [aut, cre]
Maintainer: Ahmet Aydin <SDC.Queries@ons.gov.uk>
Repository: CRAN
Date/Publication: 2026-05-28 11:40:06 UTC

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New package buzzMed with initial version 0.1.2
Package: buzzMed
Version: 0.1.2
Date: 2026-05-20
Title: Bayesian Understanding for Mediator Selection Framework
Description: A collection of quantitative tools for selecting mediating effects within exploratory Bayesian mediation models. The package accommodates both continuous and dichotomous outcomes, including the dependent variables and the mediators for identifying and analyzing mediation pathways.
License: GPL (>= 3)
Depends: R (>= 4.0.0)
SystemRequirements: JAGS (>= 4.0.0)
Imports: coda, methods, rjags, stats, utils
Suggests: knitr, rmarkdown, spelling, testthat (>= 3.0.0)
ByteCompile: true
VignetteBuilder: knitr
URL: https://github.com/olfactorybulb/buzzMed
BugReports: https://github.com/olfactorybulb/buzzMed/issues
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2026-05-21 01:46:21 UTC; jesshsing
Author: Dingjing Shi [aut, cre], Tansu Celikel [aut], Dexin Shi [aut], Chih-Chia Hsing [ctb]
Maintainer: Dingjing Shi <dshi32@gatech.edu>
Repository: CRAN
Date/Publication: 2026-05-28 11:20:06 UTC

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Package primer (with last version 1.2.0) was removed from CRAN

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

2021-01-06 1.2.0
2019-10-07 1.1.1

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Package waterquality (with last version 1.0.0) was removed from CRAN

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

2023-08-07 1.0.0
2022-02-09 0.3.0
2020-10-21 0.2.6
2020-10-02 0.2.5
2018-12-18 0.2.2

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Package rsat (with last version 0.1.21) was removed from CRAN

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

2024-02-03 0.1.21

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Package whSample (with last version 0.9.6.2) was removed from CRAN

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

2021-05-13 0.9.6.2
2021-01-14 0.9.4
2020-09-02 0.9.2
2020-08-31 0.9.0
2020-08-28 0.8.9

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Package rGhanaCensus (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:

2022-01-13 0.1.0

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New package stringArt with initial version 0.1.0
Package: stringArt
Title: Tools for Generating String Art Figures
Version: 0.1.0
Description: Provides tools to generate, visualize, and audit geometric string art figures for mathematics teaching. The package includes functions for circular, cardioid-like, elliptical, triangular, polygonal, star, parabolic, net-based, radial, hexagonal, lotus-like, rose-like, spiral, Lissajous, grid-based, decimal, and contour-based string art patterns. Each function returns peg coordinates, connection tables, total string length, audit information, and metadata, supporting educational applications in geometry, analytic geometry, modular arithmetic, trigonometry, rational numbers, and visual mathematics.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/fsbmat-ufv/stringArt
BugReports: https://github.com/fsbmat-ufv/stringArt/issues
Depends: R (>= 4.1)
Imports: graphics
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-05-20 22:19:16 UTC; fsbmat
Author: Fernando de Souza Bastos [aut, cre], Ivo Moreira Barbosa [aut]
Maintainer: Fernando de Souza Bastos <fernando.bastos@ufv.br>
Repository: CRAN
Date/Publication: 2026-05-28 11:00:02 UTC

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Package rd2d updated to version 1.0.0 with previous version 0.2.0 dated 2026-05-23

Title: Estimation and Inference for Boundary Discontinuity Designs
Description: Provides pointwise and uniform estimation and inference methods for boundary discontinuity (BD) designs, a causal inference design that generalizes univariate regression discontinuity (RD) designs to settings with bivariate scores. Implements local polynomial methods for location-based and distance-based analyses, including sharp and fuzzy designs, data-driven bandwidth selection, pointwise confidence intervals, and uniform confidence bands. Methodology is developed in Cattaneo, Titiunik, and Yu (2026) <doi:10.48550/arXiv.2505.05670> for location-based methods and Cattaneo, Titiunik, and Yu (2026) <doi:10.48550/arXiv.2510.26051> for distance-based methods. For an overview and empirical guidance, see Cattaneo, Titiunik, and Yu (2026) <doi:10.48550/arXiv.2511.06474>. The companion software article is Cattaneo, Titiunik, and Yu (2025) <doi:10.48550/arXiv.2505.07989>.
Author: Matias D. Cattaneo [aut, cre], Rocio Titiunik [aut], Ruiqi Rae Yu [aut]
Maintainer: Matias D. Cattaneo <matias.d.cattaneo@gmail.com>

Diff between rd2d versions 0.2.0 dated 2026-05-23 and 1.0.0 dated 2026-05-28

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 NAMESPACE                                  |   10 
 NEWS.md                                    |   25 
 R/rd2d-package.R                           |    6 
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 R/rd2d_distance.R                          |  186 ++--
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 R/rd2d_fn.R                                | 1184 +++++++++++++++++++++--------
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 24 files changed, 2994 insertions(+), 701 deletions(-)

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Package mdbr updated to version 0.3.1 with previous version 0.3.0 dated 2026-05-23

Title: Work with Microsoft Access Files
Description: Work with Microsoft Access '.mdb' and '.accdb' files using the open source 'MDB Tools' library <https://github.com/mdbtools/mdbtools/>. The library is compiled and bundled with the package, so no external installation is required. Provides high-level helpers for reading tables, exporting to CSV or JSON, inspecting table definitions, and running SQL queries. Also exposes a full read-only 'DBI' interface for use with standard database workflows.
Author: Kiernan Nicholls [aut, cre, cph] , Bruno Tremblay [ctb]
Maintainer: Kiernan Nicholls <k5cents@gmail.com>

Diff between mdbr versions 0.3.0 dated 2026-05-23 and 0.3.1 dated 2026-05-28

 DESCRIPTION                     |    6 +++---
 MD5                             |   10 +++++-----
 NEWS.md                         |    2 ++
 src/Makevars.in                 |    2 +-
 src/mdb_native.c                |    7 +++++--
 src/mdbtools/include/mdbtools.h |    4 ++++
 6 files changed, 20 insertions(+), 11 deletions(-)

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New package anovapowersim with initial version 1.0.0
Package: anovapowersim
Title: Simple Power Simulations for ANOVAs
Version: 1.0.0
Description: A-priori power simulations and power-calculations for within, between and mixed ANOVAs based on target (partial) eta-squared values. Supports complex designs with more than two factors and their interactions with a single function call.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1)
Imports: car, dplyr, future, future.apply, ggplot2, MASS, purrr, rlang, stats, tibble, tidyr
Suggests: knitr, pkgdown, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://shaheedazaad.github.io/anovapowersim/, https://github.com/shaheedazaad/anovapowersim
BugReports: https://github.com/shaheedazaad/anovapowersim/issues
NeedsCompilation: no
Packaged: 2026-05-18 18:13:55 UTC; shaheedazaad
Author: Shaheed Azaad [aut, cre]
Maintainer: Shaheed Azaad <sazaad@uni-muenster.de>
Repository: CRAN
Date/Publication: 2026-05-28 11:00:15 UTC

More information about anovapowersim at CRAN
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Package IOBR (with last version 2.2.2) was removed from CRAN

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

2026-05-25 2.2.2
2026-05-15 2.2.1
2026-04-22 2.2.0

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Package realestatebr (with last version 1.0.0) was removed from CRAN

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

2026-05-27 1.0.0

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Package miceadds updated to version 3.20-10 with previous version 3.19-16 dated 2026-03-13

Title: Some Additional Multiple Imputation Functions, Especially for 'mice'
Description: Contains functions for multiple imputation which complements existing functionality in R. In particular, several imputation methods for the mice package (van Buuren & Groothuis-Oudshoorn, 2011, <doi:10.18637/jss.v045.i03>) are implemented. Main features of the miceadds package include plausible value imputation (Mislevy, 1991, <doi:10.1007/BF02294457>), multilevel imputation for variables at any level or with any number of hierarchical and non-hierarchical levels (Grund, Luedtke & Robitzsch, 2018, <doi:10.1177/1094428117703686>; van Buuren, 2018, Ch.7, <doi:10.1201/9780429492259>), imputation using partial least squares (PLS) for high dimensional predictors (Robitzsch, Pham & Yanagida, 2016), nested multiple imputation (Rubin, 2003, <doi:10.1111/1467-9574.00217>), substantive model compatible imputation (Bartlett et al., 2015, <doi:10.1177/0962280214521348>), and features for the generation of synthetic datasets (Reiter, 2005, <doi:10. [...truncated...]
Author: Alexander Robitzsch [aut, cre] , Simon Grund [aut] , Thorsten Henke [ctb]
Maintainer: Alexander Robitzsch <robitzsch@ipn.uni-kiel.de>

Diff between miceadds versions 3.19-16 dated 2026-03-13 and 3.20-10 dated 2026-05-28

 DESCRIPTION                                     |    8 ++++----
 MD5                                             |   16 ++++++++--------
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Package glmmrBase readmission to version 1.4.1 with previous version 1.4.0 dated 2026-04-29

Title: Monte Carlo Maximum Likelihood and Analysis of Generalised Linear Mixed Models
Description: Specification, analysis, simulation, and fitting of generalised linear mixed models. Monte Carlo Maximum likelihood model fitting for a range of models, non-linear fixed effect specifications, a wide range of flexible covariance functions including Gaussian Process approximations. Methods described in Watson, Wang, and Giorgi (2026) <doi:10.48550/arXiv.2601.16022>.
Author: Sam Watson [aut, cre]
Maintainer: Sam Watson <S.I.Watson@bham.ac.uk>

This is a re-admission after prior archival of version 1.4.0 dated 2026-04-29

Diff between glmmrBase versions 1.4.0 dated 2026-04-29 and 1.4.1 dated 2026-05-28

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Package sampcompR updated to version 0.3.3 with previous version 0.3.2 dated 2025-12-09

Title: Comparing and Visualizing Differences Between Surveys
Description: Easily analyze and visualize differences between samples (e.g., benchmark comparisons, nonresponse comparisons in surveys) on three levels. The comparisons can be univariate, bivariate or multivariate. On univariate level the variables of interest of a survey and a comparison survey (i.e. benchmark) are compared, by calculating one of several difference measures (e.g., relative difference in mean), and an average difference between the surveys. On bivariate level a function can calculate significant differences in correlations for the surveys. And on multivariate levels a function can calculate significant differences in model coefficients between the surveys of comparison. All of those differences can be easily plotted and outputted as a table. For more detailed information on the methods and example use see Rohr, B., Silber, H., & Felderer, B. (2024). Comparing the Accuracy of Univariate, Bivariate, and Multivariate Estimates across Probability and Nonprobability Surveys with Po [...truncated...]
Author: Bjoern Rohr [aut, cre, cph], Barbara Felderer [aut]
Maintainer: Bjoern Rohr <bjoern.rohr@gesis.org>

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Package esviz updated to version 0.0.3 with previous version 0.0.2 dated 2026-02-04

Title: Plotting Functions for Climate Science and Services
Description: A plotting package for climate science and services. Provides a set of functions for visualizing climate data, including maps, time series, scorecards and other diagnostics. Some functions are adapted and extended from the 's2dv' and 'CSTools' packages (Manubens et al. (2018) <doi:10.1016/j.envsoft.2018.01.018>; Pérez-Zanón et al. (2022) <doi:10.5194/gmd-15-6115-2022>), with more consistent and integrated functionalities.
Author: BSC-CNS [aut, cph], An-Chi Ho [aut], Eva Rifa [ctb], Victoria Agudetse [ctb], Ariadna Batalla [ctb, cre], Nuria Perez-Zanon [ctb], Nadia Milders [ctb], Veronica Torralba [ctb], Raul Capellan [ctb], Anindita Patra [ctb]
Maintainer: Ariadna Batalla <ariadna.batalla@bsc.es>

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Package enmpa updated to version 0.2.4 with previous version 0.2.3 dated 2026-01-26

Title: Ecological Niche Modeling using Presence-Absence Data
Description: A set of tools to perform Ecological Niche Modeling with presence-absence data. It includes algorithms for data partitioning, model fitting, calibration, evaluation, selection, and prediction. Other functions help to explore signals of ecological niche using univariate and multivariate analyses, and model features such as variable response curves and variable importance. Unique characteristics of this package are the ability to exclude models with concave quadratic responses, and the option to clamp model predictions to specific variables. These tools are implemented following principles proposed in Cobos et al., (2022) <doi:10.17161/bi.v17i.15985>, Cobos et al., (2019) <doi:10.7717/peerj.6281>, and Peterson et al., (2008) <doi:10.1016/j.ecolmodel.2007.11.008>.
Author: Luis F. Arias-Giraldo [aut, cre] , Marlon E. Cobos [aut] , A. Townsend Peterson [ctb]
Maintainer: Luis F. Arias-Giraldo <lfarias.giraldo@gmail.com>

Diff between enmpa versions 0.2.3 dated 2026-01-26 and 0.2.4 dated 2026-05-28

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Package netmeta updated to version 3.5-0 with previous version 3.4-0 dated 2026-04-11

Title: Network Meta-Analysis using Frequentist Methods
Description: A comprehensive set of functions providing frequentist methods for network meta-analysis (Balduzzi et al., 2023) <doi:10.18637/jss.v106.i02> and supporting Schwarzer et al. (2015) <doi:10.1007/978-3-319-21416-0>, Chapter 8 "Network Meta-Analysis": - frequentist network meta-analysis following Rücker (2012) <doi:10.1002/jrsm.1058>; - additive network meta-analysis for combinations of treatments (Rücker et al., 2020) <doi:10.1002/bimj.201800167>; - network meta-analysis of binary data using the Mantel-Haenszel or non-central hypergeometric distribution method (Efthimiou et al., 2019) <doi:10.1002/sim.8158>, or penalised logistic regression (Evrenoglou et al., 2022) <doi:10.1002/sim.9562>; - rankograms and ranking of treatments by the Surface under the cumulative ranking curve (SUCRA) (Salanti et al., 2013) <doi:10.1016/j.jclinepi.2010.03.016>; - ranking of treatments using P-scores (frequentist analogue of SUCRAs without resampling) according to [...truncated...]
Author: Gerta Ruecker [aut] , Ulrike Krahn [aut], Jochem Koenig [aut] , Orestis Efthimiou [aut] , Annabel Davies [aut] , Theodoros Papakonstantinou [aut] , Theodoros Evrenoglou [ctb] , Krzysztof Ciomek [ctb] , Nana-adjoa Kwarteng [ctb] , Guido Schwarzer [aut, [...truncated...]
Maintainer: Guido Schwarzer <guido.schwarzer@uniklinik-freiburg.de>

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Package MSCquartets updated to version 3.3 with previous version 3.2 dated 2025-03-19

Title: Analyzing Gene Tree Quartets under the Multi-Species Coalescent
Description: Methods for analyzing and using quartets displayed on a collection of gene trees, primarily to make inferences about the species tree or network under the multi-species coalescent model. These include quartet hypothesis tests for the model, as developed by Mitchell et al. (2019) <doi:10.1214/19-EJS1576>, simplex plots of quartet concordance factors as presented by Allman et al. (2020) <doi:10.1101/2020.02.13.948083>, species tree inference methods based on quartet distances of Rhodes (2019) <doi:10.1109/TCBB.2019.2917204> and Yourdkhani and Rhodes (2019) <doi:10.1007/s11538-020-00773-4>, the NANUQ algorithm for inference of level-1 species networks of Allman et al. (2019) <doi:10.1186/s13015-019-0159-2>, the TINNIK algorithm for inference of the tree of blobs of an arbitrary network of Allman et al.(2022) <doi:10.1007/s00285-022-01838-9>, NANUQ+ routines for resolving multifurcations in the tree of blobs to cycles as in Rhodes et al.(2024) <doi:10 [...truncated...]
Author: Elizabeth Allman [aut], Hector Banos [aut], Jonathan Mitchell [aut], Kristina Wicke [aut], John Rhodes [aut, cre]
Maintainer: John Rhodes <j.rhodes@alaska.edu>

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Package mlS3 updated to version 0.1.1 with previous version 0.1.0 dated 2026-04-28

Title: Unified S3 Interface to Machine Learning Models
Description: Provides a unified and consistent S3 interface for training and predicting with a variety of machine learning models in R. The package wraps popular algorithms (e.g., from 'glmnet', 'lightgbm', 'ranger', 'e1071', and 'caret') under a common workflow based on simple wrap_*() and predict() functions, allowing users to switch between models without changing their code structure. It supports both classification and regression tasks and facilitates rapid experimentation, benchmarking, and comparison of models. By abstracting away package-specific APIs while preserving flexibility in parameter specification, the package streamlines machine learning workflows and promotes reproducibility.
Author: T. Moudiki [aut, cre]
Maintainer: T. Moudiki <thierry.moudiki@gmail.com>

Diff between mlS3 versions 0.1.0 dated 2026-04-28 and 0.1.1 dated 2026-05-28

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Package geogrid updated to version 0.1.3 with previous version 0.1.2 dated 2023-08-19

Title: Turn Geospatial Polygons into Regular or Hexagonal Grids
Description: Turn irregular polygons (such as geographical regions) into regular or hexagonal grids. This package enables the generation of regular (square) and hexagonal grids through the package 'sp' and then assigns the content of the existing polygons to the new grid using the Hungarian algorithm, Kuhn (1955) (<doi:10.1007/978-3-540-68279-0_2>). This prevents the need for manual generation of hexagonal grids or regular grids that are supposed to reflect existing geography.
Author: Joseph Bailey [aut, cph], Ryan Hafen [ctb, cre] , Jakub Nowosad [ctb] , Lars Simon Zehnder [ctb]
Maintainer: Ryan Hafen <rhafen@gmail.com>

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Package cards updated to version 0.8.0 with previous version 0.7.1 dated 2025-12-02

Title: Analysis Results Data
Description: Construct CDISC (Clinical Data Interchange Standards Consortium) compliant Analysis Results Data objects. These objects are used and re-used to construct summary tables, visualizations, and written reports. The package also exports utilities for working with these objects and creating new Analysis Results Data objects.
Author: Daniel D. Sjoberg [aut, cre] , Becca Krouse [aut], Emily de la Rua [aut] , Malan Bosman [aut] , F. Hoffmann-La Roche AG [cph, fnd], GlaxoSmithKline Research & Development Limited [cph]
Maintainer: Daniel D. Sjoberg <danield.sjoberg@gmail.com>

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Package bpgmm updated to version 1.3.1 with previous version 1.1.1 dated 2025-10-30

Title: Bayesian Model Selection Approach for Parsimonious Gaussian Mixture Models
Description: Model-based clustering using Bayesian parsimonious Gaussian mixture models. MCMC (Markov chain Monte Carlo) are used for parameter estimation. The RJMCMC (Reversible-jump Markov chain Monte Carlo) is used for model selection. GREEN et al. (1995) <doi:10.1093/biomet/82.4.711>.
Author: Yaoxiang Li [aut, cre], Xiang Lu [aut], Tanzy Love [aut]
Maintainer: Yaoxiang Li <liyaoxiang@outlook.com>

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Package antaresRead updated to version 3.0.1 with previous version 3.0.0 dated 2026-01-28

Title: Import, Manipulate and Explore the Results of an 'Antares' Simulation
Description: Import, manipulate and explore results generated by 'Antares', a powerful open source software developed by RTE (Réseau de Transport d’Électricité) to simulate and study electric power systems (more information about 'Antares' here : <https://antares-simulator.org/>).
Author: Tatiana Vargas [aut, cre], Jalal-Edine ZAWAM [aut], Frederic Breant [ctb], Francois Guillem [aut], Benoit Thieurmel [aut], Titouan Robert [aut], Victor Perrier [ctb], Etienne Sanchez [ctb], Assil Mansouri [ctb], Clement Berthet [ctb], Kamel Kemiha [c [...truncated...]
Maintainer: Tatiana Vargas <tatiana.vargas@rte-france.com>

Diff between antaresRead versions 3.0.0 dated 2026-01-28 and 3.0.1 dated 2026-05-28

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Package seededlda updated to version 1.4.4 with previous version 1.4.3 dated 2025-09-28

Title: Seeded Sequential LDA for Topic Modeling
Description: Seeded Sequential LDA can classify sentences of texts into pre-define topics with a small number of seed words (Watanabe & Baturo, 2023) <doi:10.1177/08944393231178605>. Implements Seeded LDA (Lu et al., 2010) <doi:10.1109/ICDMW.2011.125> and Sequential LDA (Du et al., 2012) <doi:10.1007/s10115-011-0425-1> with the distributed LDA algorithm (Newman, et al., 2009) for parallel computing.
Author: Kohei Watanabe [aut, cre, cph], Phan Xuan-Hieu [aut, cph]
Maintainer: Kohei Watanabe <watanabe.kohei@gmail.com>

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Package forestSAS updated to version 2.0.5 with previous version 2.0.4 dated 2024-11-11

Title: Forest Spatial Structure Analysis Systems
Description: Recent years have seen significant interest in neighborhood-based structural parameters that effectively represent the spatial characteristics of tree populations and forest communities, and possess strong applicability for guiding forestry practices. This package provides valuable information that enhances our understanding and analysis of the fine-scale spatial structure of tree populations and forest stands. Reference: Yan L, Tan W, Chai Z, et al (2019) <doi:10.13323/j.cnki.j.fafu(nat.sci.).2019.03.007>.
Author: Zongzheng Chai [aut, cre]
Maintainer: Zongzheng Chai <chaizz@126.com>

Diff between forestSAS versions 2.0.4 dated 2024-11-11 and 2.0.5 dated 2026-05-28

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Package matahari (with last version 0.1.4) was removed from CRAN

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

2026-05-25 0.1.4
2020-02-06 0.1.3
2019-12-10 0.1.2
2019-10-09 0.1.1
2019-05-17 0.1.0

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Package spNNGP updated to version 1.0.2 with previous version 1.0.1 dated 2024-09-23

Title: Spatial Regression Models for Large Datasets using Nearest Neighbor Gaussian Processes
Description: Fits univariate Bayesian spatial regression models for large datasets using Nearest Neighbor Gaussian Processes (NNGP) detailed in Finley, Datta, Banerjee (2022) <doi:10.18637/jss.v103.i05>, Finley, Datta, Cook, Morton, Andersen, and Banerjee (2019) <doi:10.1080/10618600.2018.1537924>, and Datta, Banerjee, Finley, and Gelfand (2016) <doi:10.1080/01621459.2015.1044091>.
Author: Andrew Finley [aut, cre], Abhirup Datta [aut], Sudipto Banerjee [aut]
Maintainer: Andrew Finley <finleya@msu.edu>

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Package spBayes updated to version 0.4-9 with previous version 0.4-8 dated 2024-09-23

Title: Univariate and Multivariate Spatial-Temporal Modeling
Description: Fits univariate and multivariate spatio-temporal random effects models for point-referenced data using Markov chain Monte Carlo (MCMC). Details are given in Finley, Banerjee, and Gelfand (2015) <doi:10.18637/jss.v063.i13> and Finley and Banerjee <doi:10.1016/j.envsoft.2019.104608>.
Author: Andrew Finley [aut, cre], Sudipto Banerjee [aut]
Maintainer: Andrew Finley <finleya@msu.edu>

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Package rxode2 updated to version 5.1.1 with previous version 5.0.2 dated 2026-03-20

Title: Facilities for Simulating from ODE-Based Models
Description: Facilities for running simulations from ordinary differential equation ('ODE') models, such as pharmacometrics and other compartmental models. A compilation manager translates the ODE model into C, compiles it, and dynamically loads the object code into R for improved computational efficiency. An event table object facilitates the specification of complex dosing regimens (optional) and sampling schedules. NB: The use of this package requires both C and Fortran compilers, for details on their use with R please see Section 6.3, Appendix A, and Appendix D in the "R Administration and Installation" manual. Also the code is mostly released under GPL. The 'VODE' and 'LSODA' are in the public domain. The information is available in the inst/COPYRIGHTS.
Author: Matthew L. Fidler [aut, cre] , Wenping Wang [aut], Alan Hindmarsh [ctb], Arun Srinivasan [ctb], Awad H. Al-Mohy [ctb], Bill Denney [ctb] , Cleve Moler [ctb], David Cooley [ctb], Drew Schmidt [ctb], Ernst Hairer [ctb], Gabriel Staples [ctb], Gerhard W [...truncated...]
Maintainer: Matthew L. Fidler <matthew.fidler@gmail.com>

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Package rvkstat updated to version 3.3.2 with previous version 3.2.0 dated 2021-10-18

Title: R Interface to API 'vk.com'
Description: Load data from vk.com api about your communiti users and views, ads performance, post on user wall and etc. For more information see API Documentation <https://vk.com/dev/first_guide>.
Author: Alexey Seleznev [aut, cre]
Maintainer: Alexey Seleznev <selesnow@gmail.com>

Diff between rvkstat versions 3.2.0 dated 2021-10-18 and 3.3.2 dated 2026-05-28

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Package MBA updated to version 0.1-3 with previous version 0.1-2 dated 2024-09-23

Title: Multilevel B-Spline Approximation
Description: Functions to interpolate irregularly and regularly spaced data using Multilevel B-spline Approximation (MBA). Functions call portions of the SINTEF Multilevel B-spline Library written by Øyvind Hjelle which implements methods developed by Lee, Wolberg and Shin (1997; <doi:10.1109/2945.620490>).
Author: Andrew Finley [aut, cre], Sudipto Banerjee [aut], Oeyvind Hjelle [aut], Roger Bivand [ctb]
Maintainer: Andrew Finley <finleya@msu.edu>

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Package gkwdist updated to version 1.1.4 with previous version 1.1.3 dated 2026-05-21

Title: Generalized Kumaraswamy Distribution Family
Description: Implements the five-parameter Generalized Kumaraswamy ('gkw') distribution proposed by 'Carrasco, Ferrari and Cordeiro (2010)' <doi:10.48550/arXiv.1004.0911> and its seven nested sub-families for modeling bounded continuous data on the unit interval (0,1). The 'gkw' distribution extends the Kumaraswamy distribution described by Jones (2009) <doi:10.1016/j.stamet.2008.04.001>. Provides density, distribution, quantile, and random generation functions, along with analytical log-likelihood, gradient, and Hessian functions implemented in 'C++' via 'RcppArmadillo' for maximum computational efficiency. Suitable for modeling proportions, rates, percentages, and indices exhibiting complex features such as asymmetry, or heavy tails and other shapes not adequately captured by standard distributions like simple Beta or Kumaraswamy.
Author: Jose Evandeilton Lopes [aut, cre]
Maintainer: Jose Evandeilton Lopes <evandeilton@gmail.com>

Diff between gkwdist versions 1.1.3 dated 2026-05-21 and 1.1.4 dated 2026-05-28

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Package gap updated to version 1.15.2 with previous version 1.15.1 dated 2026-05-24

Title: Genetic Analysis Package
Description: As first reported [Zhao, J. H. 2007. "gap: Genetic Analysis Package". J Stat Soft 23(8):1-18. <doi:10.18637/jss.v023.i08>], it is designed as an integrated package for genetic data analysis of both population and family data. Currently, it contains functions for sample size calculations of both population-based and family-based designs, probability of familial disease aggregation, kinship calculation, statistics in linkage analysis, and association analysis involving genetic markers including haplotype analysis with or without environmental covariates. Over years, the package has been developed in-between many projects hence also in line with the name (gap).
Author: Jing Hua Zhao [aut, cre] , Kurt Hornik [ctb], Brian Ripley [ctb], Uwe Ligges [ctb], Achim Zeileis [ctb]
Maintainer: Jing Hua Zhao <jinghuazhao@hotmail.com>

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Package dunn.test updated to version 1.4.0 with previous version 1.3.7 dated 2026-02-13

Title: Dunn's Test of Multiple Comparisons Using Rank Sums
Description: Computes Dunn's test (1964) for stochastic superiority and reports the results among multiple pairwise comparisons after a Kruskal-Wallis test for stochastic superiority among k groups (Kruskal and Wallis, 1952). 'dunn.test' makes k(k-1)/2 multiple pairwise comparisons based on Dunn's z-test-statistic approximations to the actual rank statistics. The null hypothesis for each pairwise comparison is that the probability of observing a randomly selected value from the first group that is larger than a randomly selected value from the second group equals one half; this null hypothesis corresponds to that of the Wilcoxon-Mann-Whitney rank-sum test. 'dunn.test' accounts for tied ranks.
Author: Alexis Dinno [aut, cre, cph]
Maintainer: Alexis Dinno <alexis.dinno@pdx.edu>

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Package DiscreteTests updated to version 0.4.1 with previous version 0.4.0 dated 2026-05-19

Title: Vectorised Computation of P-Values and Their Supports for Several Discrete Statistical Tests
Description: Provides vectorised functions for computing p-values of various common discrete statistical tests, as described e.g. in Agresti (2002) <doi:10.1002/0471249688>, including their distributions. Exact and approximate computation methods are provided. For exact ones, several procedures of determining two-sided p-values are included, which are outlined in more detail in Hirji (2006) <doi:10.1201/9781420036190>.
Author: Florian Junge [cre, aut] , Christina Kihn [aut], Sebastian Doehler [ctb] , Guillermo Durand [ctb]
Maintainer: Florian Junge <diso.fbmn@h-da.de>

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Package dataRetrieval updated to version 2.7.25 with previous version 2.7.24 dated 2026-03-31

Title: Retrieval Functions for USGS and EPA Hydrology and Water Quality Data
Description: Collection of functions to help retrieve U.S. Geological Survey and U.S. Environmental Protection Agency water quality and hydrology data from web services.
Author: Laura DeCicco [aut, cre] , Robert Hirsch [aut] , David Lorenz [aut], Jordan Read [ctb], Jordan Walker [ctb], Lindsay Platt [ctb], David Watkins [aut] , David Blodgett [aut] , Mike Johnson [aut] , Aliesha Krall [ctb] , Lee Stanish [ctb] , Joseph Zemme [...truncated...]
Maintainer: Laura DeCicco <ldecicco@usgs.gov>

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Permanent link

Package admiral updated to version 1.4.2 with previous version 1.4.1 dated 2026-02-03

Title: ADaM in R Asset Library
Description: A toolbox for programming Clinical Data Interchange Standards Consortium (CDISC) compliant Analysis Data Model (ADaM) datasets in R. ADaM datasets are a mandatory part of any New Drug or Biologics License Application submitted to the United States Food and Drug Administration (FDA). Analysis derivations are implemented in accordance with the "Analysis Data Model Implementation Guide" (CDISC Analysis Data Model Team, 2021, <https://www.cdisc.org/standards/foundational/adam>).
Author: Edoardo Mancini [aut, cre] , Stefan Bundfuss [aut] , Matt Bearham [aut], Arianna Cascone [aut] , Kristin Dahnert [aut], Jeffrey Dickinson [aut], Ross Farrugia [aut], Fanny Gautier [aut], Gordon Miller [aut], Lina Patil [aut], Jim Rothstein [aut] , Be [...truncated...]
Maintainer: Edoardo Mancini <edoardo.mancini@roche.com>

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More information about admiral at CRAN
Permanent link

Package rChEA3 updated to version 1.0.1 with previous version 0.2.0 dated 2025-10-15

Title: R Client for the 'ChEA3' Transcription Factor Enrichment API
Description: Interface to the 'ChEA3' transcription factor enrichment API. 'ChEA3' integrates evidence from ChIP-seq, co-expression, and literature resources to prioritize transcription factors regulating a given set of genes. This package provides convenient R functions to query the API, retrieve ranked results across collections (including integrated scores), and standardize output for downstream analysis in R/Bioconductor workflows. See <https://maayanlab.cloud/chea3/> or Keenan (2019) <doi:10.1093/nar/gkz446> for further details.
Author: Christophe Tav [aut, cre]
Maintainer: Christophe Tav <christophe.tav@gmail.com>

Diff between rChEA3 versions 0.2.0 dated 2025-10-15 and 1.0.1 dated 2026-05-28

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More information about rChEA3 at CRAN
Permanent link

Wed, 27 May 2026

Package Athlytics updated to version 1.0.5 with previous version 0.1.2 dated 2025-05-16

Title: Sports Physiology Analysis from Local 'Strava' Data
Description: Tools for reproducible, offline analysis of endurance-training data exported from 'Strava'. Provides data import, quality-control, cohort-reference, and visualization helpers for sports-science indicators including acute:chronic workload ratio, aerobic efficiency, cardiovascular decoupling, exposure, and personal-best profiles.
Author: Zhiang He [aut, cre], Eunseop Kim [rev] for rOpenSci, see https://github.com/ropensci/software-review/issues/728), Simon Nolte [rev] for rOpenSci, see https://github.com/ropensci/software-review/issues/728)
Maintainer: Zhiang He <ang@hezhiang.com>

Diff between Athlytics versions 0.1.2 dated 2025-05-16 and 1.0.5 dated 2026-05-27

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More information about Athlytics at CRAN
Permanent link

New package thinr with initial version 0.2.0
Package: thinr
Title: Binary Image Thinning Algorithms
Version: 0.2.0
Description: Thinning (skeletonization) algorithms for binary raster images. Provides seven algorithms behind a single dispatching function: Zhang-Suen (Zhang and Suen 1984) <doi:10.1145/357994.358023>, Guo-Hall (Guo and Hall 1989) <doi:10.1145/62065.62074>, a 2-D adaptation of Lee (Lee, Kashyap, and Chu 1994) <doi:10.1006/cgip.1994.1042>, K3M (Saeed, Tabedzki, Rybnik, and Adamski 2010) <doi:10.2478/v10006-010-0024-4>, the parallel form commonly attributed to Hilditch (1969, in 'Machine Intelligence 4'), OPTA / SPTA (Naccache and Shinghal 1984), and Holt and colleagues (1987) <doi:10.1145/12527.12531>. Also provides the medial axis transform (Blum 1967) and a distance transform implementation following Felzenszwalb and Huttenlocher (2012) <doi:10.4086/toc.2012.v008a019>. The drop-in thinImage() matches the signature of thinImage() in the 'EBImage' package on Bioconductor so existing code can switch parsers without changes. The wider thin() API selects the algorit [...truncated...]
License: LGPL-3
Encoding: UTF-8
Depends: R (>= 4.2)
LinkingTo: Rcpp
Imports: Rcpp
Suggests: bench, covr, knitr, lintr, rmarkdown, styler, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://github.com/humanpred/thinr, https://humanpred.github.io/thinr/
BugReports: https://github.com/humanpred/thinr/issues
NeedsCompilation: yes
Packaged: 2026-05-20 18:04:21 UTC; bill
Author: Bill Denney [aut, cre]
Maintainer: Bill Denney <wdenney@humanpredictions.com>
Repository: CRAN
Date/Publication: 2026-05-27 20:10:02 UTC

More information about thinr at CRAN
Permanent link

New package surveyframe with initial version 0.3.0
Package: surveyframe
Title: Survey Instrument Workflows
Version: 0.3.0
Description: Supports survey research workflows built around a typed instrument object (the sframe). Features include visual instrument design via a browser-based builder or 'Shiny' studio, export to a self-contained static HTML survey, an embeddable 'Shiny' module, SHA-256 integrity-checked serialisation to the '.sframe' format, multi-page survey rendering, branching logic, response quality checking, scale scoring, psychometric diagnostics, analysis-plan execution, model syntax planning, an interactive response dashboard, codebook generation, and reproducible HTML reporting.
License: MIT + file LICENSE
URL: https://github.com/MohammedAliSharafuddin/surveyframe
BugReports: https://github.com/MohammedAliSharafuddin/surveyframe/issues
Encoding: UTF-8
Language: en-GB
Depends: R (>= 4.1.0)
Imports: jsonlite (>= 1.8.0), rlang (>= 1.1.0), openssl (>= 2.1.0)
Suggests: googlesheets4 (>= 1.1.0), shiny (>= 1.7.0), psych (>= 2.3.0), MASS, nnet, digest (>= 0.6.0), testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-05-20 18:17:37 UTC; maxx
Author: Mohammed Ali Sharafuddin [aut, cre]
Maintainer: Mohammed Ali Sharafuddin <mohammedali.page@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-27 20:10:09 UTC

More information about surveyframe at CRAN
Permanent link

New package statgen with initial version 0.3.2
Package: statgen
Title: Statistical Genetics Data Objects and Loaders
Version: 0.3.2
Description: Loads and manages statistical genetics data objects including reference panels, genotypes, LD matrices, annotations, and summary statistics. Follows the 'statgen' specification for use across 'Python', 'R', and 'MATLAB'/'Octave' runtimes.
License: MIT + file LICENSE
URL: https://github.com/precimed/statgen
BugReports: https://github.com/precimed/statgen/issues
Encoding: UTF-8
Depends: R (>= 4.1)
Imports: Matrix, jsonlite, digest, bit64, methods, data.table
Suggests: R.utils, testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-05-20 18:59:34 UTC; andrewmorris
Author: Oleksandr Frei [aut, cph], Andrew Morris [cre, ctb]
Maintainer: Andrew Morris <a.h.morris@mn.uio.no>
Repository: CRAN
Date/Publication: 2026-05-27 20:10:17 UTC

More information about statgen at CRAN
Permanent link

New package shellgame with initial version 0.1.1
Package: shellgame
Title: The Shell Game - Audit Geographic Data Transformations
Version: 0.1.1
Description: Reveals how data quality silently degrades during geographic transformations while variable labels remain unchanged. Demonstrates that transformation error is agnostic to both the variable (population, income, etc.) and the tool ('R', 'Python', etc.). Provides a reproducible audit framework for quantifying the shift from observed to imputed data at each transformation hop.
License: MIT + file LICENSE
URL: https://github.com/phinnphace/shellgame
BugReports: https://github.com/phinnphace/shellgame/issues
Depends: R (>= 4.0.0)
Imports: dplyr (>= 1.0.0), ggplot2, janitor, magrittr, rlang, stringr, tidycensus, utils
Suggests: geoDeltaAudit, knitr, readr, rmarkdown, spelling, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2026-05-20 16:58:57 UTC; phinnmarkson
Author: Phinn Markson [aut, cre]
Maintainer: Phinn Markson <markson.2@osu.edu>
Repository: CRAN
Date/Publication: 2026-05-27 20:10:23 UTC

More information about shellgame at CRAN
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New package explodemap with initial version 0.2.0
Package: explodemap
Title: Hierarchical Exploded-View Cartography
Version: 0.2.0
Description: Tools for generating hierarchical exploded-view maps from dense administrative boundary data. The package applies rigid-body translations to polygon geometries using a centroid-driven vector field, preserving the internal geometry of each feature while separating units within and across regions. Parameters can be derived analytically from dataset geometry using closed-form models for regional separation and local expansion. The package also includes grouped layouts, optional bounded collision refinement, and an interactive focus-map widget for selected-area inspection in 'htmlwidgets' and 'Shiny'. It implements the methodology described in George Arthur (2026) <https://github.com/PrigasG/explodemap> "A Hierarchical Vector-Based Framework for Multi-Scale Exploded-View Cartography".
License: MIT + file LICENSE
URL: https://prigasg.github.io/explodemap/, https://github.com/PrigasG/explodemap
BugReports: https://github.com/PrigasG/explodemap/issues
Depends: R (>= 4.1.0)
Imports: dplyr, ggplot2, htmlwidgets, purrr, rlang, sf, utils
Suggests: knitr, rmarkdown, shiny, testthat (>= 3.0.0), tigris
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-05-20 20:17:52 UTC; priga
Author: George Arthur [aut, cre]
Maintainer: George Arthur <prigasgenthian48@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-27 20:10:29 UTC

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Package Rvoterdistance readmission to version 2.0.0 with previous version 1.1 dated 2017-03-20

Title: Voter Distance to Polling Locations
Description: Calculates the distance between each voter in a voter file (given lat/long coordinates or sf point geometries) and multiple polling or vote-by-mail drop box locations. Returns nearest location, k-nearest locations, or all locations within a distance threshold. Core computation uses the Haversine formula implemented in C++ via 'Rcpp'.
Author: Loren Collingwood [aut, cre]
Maintainer: Loren Collingwood <lcollingwood@unm.edu>

This is a re-admission after prior archival of version 1.1 dated 2017-03-20

Diff between Rvoterdistance versions 1.1 dated 2017-03-20 and 2.0.0 dated 2026-05-27

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New package realestatebr with initial version 1.0.0
Package: realestatebr
Title: Import Brazilian Real Estate Data into R
Version: 1.0.0
Description: Provides access to Brazilian real estate market data from multiple official sources: the Central Bank of Brazil (BCB) <https://www.bcb.gov.br/>, the Brazilian Association of Real Estate Developers (ABRAINC) <https://abrainc.org.br/>, the Brazilian Association of Real Estate Credit and Savings Entities (ABECIP) <https://www.abecip.org.br/>, the Getulio Vargas Foundation (FGV) <https://portalibre.fgv.br/>, and the Bank for International Settlements (BIS) <https://www.bis.org/>.
License: MIT + file LICENSE
URL: https://github.com/viniciusoike/realestatebr, https://viniciusoike.github.io/realestatebr/
BugReports: https://github.com/viniciusoike/realestatebr/issues
Encoding: UTF-8
Language: en-US
LazyData: true
Depends: R (>= 4.1.0)
Imports: cli, dplyr, httr, janitor, lubridate, purrr, rappdirs, rbcb, readr, readxl, rlang, rvest, stringr, tibble, tidyr, tidyxl, xml2, yaml, zoo
Suggests: geobr, ggplot2, kableExtra, knitr, piggyback, pkgdown, RcppRoll, rmarkdown, scales, sf, stringi, targets, tarchetypes, testthat, trendseries
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-05-20 13:59:01 UTC; viniciusreginatto
Author: Vinicius Oike Reginatto [aut, cre, cph]
Maintainer: Vinicius Oike Reginatto <viniciusoike@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-27 19:50:02 UTC

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New package masc with initial version 0.1.0
Package: masc
Title: Simulate the Multi-Attribute Search and Choice (MASC) Model
Version: 0.1.0
Description: Simulates the Multi-Attribute Search and Choice (MASC) model of Gluth, Deakin and Rieskamp (2026) <doi:10.1037/rev0000614> for multi-attribute decision-making, including sequential information search, Bayesian belief updating, and choice. Beliefs may be treated as univariate (independent attributes), or multivariate over correlated attributes ('MASC-C'), in which observing one attribute updates beliefs about correlated attributes via a Kalman filter.
License: MIT + file LICENSE
Imports: Rcpp, stats
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), broom, patchwork, ggplot2, dplyr, tibble, purrr
Encoding: UTF-8
URL: https://github.com/kiante-fernandez/masc
BugReports: https://github.com/kiante-fernandez/masc/issues
LinkingTo: Rcpp, RcppArmadillo
VignetteBuilder: knitr
Depends: R (>= 2.10)
LazyData: true
NeedsCompilation: yes
Packaged: 2026-05-20 15:52:30 UTC; kiante
Author: Kiante Fernandez [aut, cre, cph]
Maintainer: Kiante Fernandez <kiantefernan@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-27 19:50:10 UTC

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New package MacroFilters with initial version 0.1.0
Package: MacroFilters
Title: Robust Trend-Cycle Decomposition for Macroeconomic Time Series
Version: 0.1.0
Description: Provides high-performance tools for macroeconomic trend extraction and filtering, specifically designed to solve the end-point problem in real-time. Implements the MacroBoost Hybrid (MBH) filter using penalized P-splines and gradient boosting. Unlike the standard Hodrick-Prescott filter, 'MacroFilters' utilizes component-wise L2-boosting with robust loss functions (Huber) to handle extreme transient shocks (e.g., COVID-19) without inducing spurious trend shifts. The algorithm includes an automated two-layer diagnostic stage for unit roots and structural breaks, optimized via corrected AICc for computational efficiency. Methodology detailed in Kinel (2026) <doi:10.2139/ssrn.6371138>.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
LazyData: true
URL: https://github.com/michal0091/MacroFilters, https://michal0091.github.io/MacroFilters/
BugReports: https://github.com/michal0091/MacroFilters/issues
Imports: Matrix, mboost, tseries
Suggests: data.table, ggplot2, knitr, rmarkdown, scales, strucchange, testthat (>= 3.0.0), usethis, xts, zoo
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-05-20 16:46:23 UTC; miki
Author: Michal Kinel [aut, cre]
Maintainer: Michal Kinel <michal.kinel@gmail.com>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2026-05-27 20:00:07 UTC

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New package libipldr with initial version 0.1.1
Package: libipldr
Title: R Bindings to the 'Rust' 'IPLD' Library
Version: 0.1.1
Description: Provides R bindings to decode DAG-CBOR (Directed Acyclic Graph Concise Binary Object Representation) encoded data, CIDs (Content Identifiers), and CAR (Content Addressable aRchive) files using the 'Rust' 'IPLD' (InterPlanetary Linked Data) library <https://github.com/ipld/libipld>. This is especially useful for working with data from 'IPFS' (InterPlanetary File System) and 'AtProto' (Bluesky) applications.
License: MIT + file LICENSE
URL: https://github.com/JBGruber/libipldr
BugReports: https://github.com/JBGruber/libipldr/issues
Encoding: UTF-8
SystemRequirements: Cargo (Rust's package manager), rustc >= 1.65
Suggests: testthat (>= 3.0.0), rextendr (>= 0.2.0), httr2, jsonlite, spelling
Depends: R (>= 4.2)
Language: en-US
NeedsCompilation: yes
Packaged: 2026-05-20 11:44:19 UTC; johannes
Author: Johannes B. Gruber [aut, cre] , Ilya Siamionau [ctb]
Maintainer: Johannes B. Gruber <JohannesB.Gruber@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-27 19:40:02 UTC

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New package klineR with initial version 0.1.1
Package: klineR
Title: Candlestick Pattern Detection and Stock Screening
Version: 0.1.1
Description: Detects classical candlestick patterns and structure-based chart patterns from open, high, low, close, and volume (OHLCV) time series and provides reusable stock-screening workflows. Built-in detectors include single- and multi-candle patterns, trend structures such as double bottoms and ascending triangles, and a configurable "golden pit" recovery setup. Includes a unified API to run pattern scans across one or many symbols. Methods are informed by Nison (2001, ISBN:9780735201811) "Japanese Candlestick Charting Techniques" and Bulkowski (2021, ISBN:9781119739685) "Encyclopedia of Chart Patterns".
License: MIT + file LICENSE
Encoding: UTF-8
Imports: stats
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
URL: https://github.com/statlearner123/klineR
BugReports: https://github.com/statlearner123/klineR/issues
NeedsCompilation: no
Packaged: 2026-05-20 14:53:18 UTC; supo
Author: po su [aut, cre]
Maintainer: po su <1848269440@qq.com>
Repository: CRAN
Date/Publication: 2026-05-27 19:50:16 UTC

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New package inferMM with initial version 0.0.2
Package: inferMM
Title: Variance-Aware Michaelis-Menten Estimation and Inference
Version: 0.0.2
Description: Variance-aware Michaelis-Menten estimation, model screening, grouped enzyme-kinetic analyses, and clustered repeated-measurement workflows. The package implements profile-score estimators under working variance functions, together with a lightweight cluster-aware working-covariance extension, Wald and bootstrap confidence intervals, prediction utilities, and simulation helpers. Related methodology is discussed by Kim and Ma (2012) <doi:10.1007/s10463-011-0332-y>, Kim (2023) <doi:10.1002/sta4.606>, and Ma and Genton (2010) <doi:10.1111/j.1467-9868.2010.00741.x>.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1.0)
Imports: graphics, grDevices, stats
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-05-20 03:15:42 UTC; mijeongkim
Author: Mijeong Kim [aut, cre], Minkyoung Cha [aut], Ah Young Jeong [aut]
Maintainer: Mijeong Kim <m.kim@ewha.ac.kr>
Repository: CRAN
Date/Publication: 2026-05-27 19:20:02 UTC

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New package ICCDesign with initial version 0.1.0
Package: ICCDesign
Title: Intraclass Correlation Coefficient (ICC) Design, Calculation and Interactive 'shiny' Toolkit
Version: 0.1.0
Description: A comprehensive toolkit for intraclass correlation coefficient (ICC) analysis, integrating three core functionalities: (1) Closed-form sample size calculation for ICC estimation with assurance probability, based on Zou (2012) <doi:10.1002/sim.5466>; (2) Full implementation of all 10 ICC types (6 common + 4 supplementary) for point estimation, exact confidence interval calculation, and formal hypothesis testing, following the methods of McGraw & Wong (1996) <doi:10.1037/1082-989X.1.1.30> and the standard decision framework; (3) An interactive 'shiny' application that guides users through ICC type selection, performs calculations, and provides reliability evaluation based on the Koo & Li (2016) <doi:10.1016/j.jcm.2016.02.012> criteria. Compared to existing packages, it provides a unified decision workflow and supports all less common ICC variants.
License: GPL (>= 3)
Depends: R (>= 4.1.0)
Imports: stats, shiny
Suggests: testthat, knitr, rmarkdown
Encoding: UTF-8
LazyData: false
URL: https://github.com/KlariZhang/ICCDesign
BugReports: https://github.com/KlariZhang/ICCDesign/issues
NeedsCompilation: no
Packaged: 2026-05-20 14:44:14 UTC; Lenovo
Author: Ziyu Liu [aut, cre], Ruilin Ma [aut], Chenge Gao [aut], Yundan Zhang [aut]
Maintainer: Ziyu Liu <1755454769@qq.com>
Repository: CRAN
Date/Publication: 2026-05-27 19:50:21 UTC

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New package dbSpatial with initial version 0.1.1
Package: dbSpatial
Title: Spatial Data Operations for Database-Backed Geometries
Version: 0.1.1
Description: Provides database-backed spatial geometry classes and methods for working with vector spatial data in 'DuckDB'. The package supports loading, converting, querying, joining, and measuring spatial geometries through familiar 'sf'-style interfaces while keeping geometry columns lazy inside the database. It integrates with 'dbProject' to preserve database paths, live connections, and spatial table metadata across interactive sessions. The package follows the Simple Features framework described by Pebesma (2018) <doi:10.32614/RJ-2018-009> and uses DuckDB's spatial extension <https://duckdb.org/docs/stable/core_extensions/spatial/overview.html>.
License: GPL-3 | MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: methods, tools, DBI, duckdb (>= 1.4.0), dplyr, dbplyr, terra, sf, e1071, lifecycle, crayon, checkmate, cli, rlang, glue, tidyselect, dbProject
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://github.com/dbverse-org/dbspatial-r, https://dbverse-org.github.io/dbspatial-r/
BugReports: https://github.com/dbverse-org/dbspatial-r/issues
NeedsCompilation: no
Packaged: 2026-05-20 12:22:23 UTC; ecruiz
Author: Edward C. Ruiz [aut, cre] , Jiaji George Chen [aut], Ruben Dries [aut, rev]
Maintainer: Edward C. Ruiz <ecr7407@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-27 19:40:07 UTC

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New package clusteredMSM with initial version 0.1.0
Package: clusteredMSM
Title: Nonparametric Analysis of Clustered Multistate Processes
Version: 0.1.0
Description: Nonparametric estimation of population-averaged transition probabilities, with cluster-bootstrap pointwise confidence intervals, simultaneous confidence bands, and two-sample Kolmogorov-Smirnov-type tests for clustered or independent multistate process data. Estimation follows Bakoyannis (2021) <doi:10.1111/biom.13327>; two-sample inference for the cluster-randomized and independent-samples designs follows Bakoyannis and Bandyopadhyay (2022) <doi:10.1007/s10463-021-00819-x>. Both methods use the working-independence Aalen-Johansen estimator. The package supports both progressive (acyclic) and non-monotone (e.g., illness-death with recovery) multistate processes, right censoring, left truncation, and informative cluster size. The user supplies data in interval format (one row per mutually-exclusive time interval per subject) and interacts with the package through a single formula-based function, patp().
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0)
Imports: survival, stats, utils
Suggests: mstate, testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/gbakoyannis/clusteredMSM
BugReports: https://github.com/gbakoyannis/clusteredMSM/issues
NeedsCompilation: no
Packaged: 2026-05-20 02:07:01 UTC; giorgos
Author: Giorgos Bakoyannis [aut, cre]
Maintainer: Giorgos Bakoyannis <gbakogia@iu.edu>
Repository: CRAN
Date/Publication: 2026-05-27 19:20:08 UTC

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New package CellWindX with initial version 1.0.0
Package: CellWindX
Title: Marker Gene Analysis and Visualization for Single-Cell Data
Version: 1.0.0
Description: Provides a 'Seurat'-compatible toolkit for marker gene identification, expression summarization, and visualization of annotated single-cell transcriptomic data. 'CellWindX' identifies top cell-type-enriched markers, calculates marker expression percentages and average expression values across cell groups, and generates publication-oriented dimensional reduction plots, marker heatmaps, and gene-level radar plots. The package includes built-in aesthetic palettes and supports both exploratory analysis and downstream figure preparation for single-cell atlas studies. The workflow is designed to complement single-cell analysis frameworks such as 'Seurat' described by Satija et al. (2015) <doi:10.1038/nbt.3192> and Hao et al. (2021) <doi:10.1016/j.cell.2021.04.048>, as well as heatmap visualization methods implemented in 'ComplexHeatmap' described by Gu et al. (2016) <doi:10.1093/bioinformatics/btw313>.
License: GPL-3
Encoding: UTF-8
Imports: circlize, ComplexHeatmap, dplyr, ggplot2, grDevices, grid, Matrix, patchwork, Seurat, tidyr, stats
Suggests: SeuratObject
NeedsCompilation: no
Packaged: 2026-05-20 13:36:35 UTC; young
Author: Xiaofeng Yang [aut, cre] , Shan Li [aut]
Maintainer: Xiaofeng Yang <Youngxf02@163.com>
Depends: R (>= 4.1.0)
Repository: CRAN
Date/Publication: 2026-05-27 19:50:27 UTC

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Package CDGHMM updated to version 0.1.3 with previous version 0.1.2 dated 2025-06-12

Title: Hidden Markov Models for Multivariate Panel Data
Description: Estimates hidden Markov models from the family of Cholesky-decomposed Gaussian hidden Markov models (CDGHMM) under various missingness schemes. This family improves upon estimation of traditional Gaussian HMMs by introducing parsimony, as well as, controlling for dropped out observations and non-random missingness. See Neal, Sochaniwsky and McNicholas (2024) <DOI:10.1007/s11222-024-10462-0>.
Author: Mackenzie R. Neal [aut, cre] , Alexa A. Sochaniwsky [aut], Paul D. McNicholas [aut]
Maintainer: Mackenzie R. Neal <nealm6@mcmaster.ca>

Diff between CDGHMM versions 0.1.2 dated 2025-06-12 and 0.1.3 dated 2026-05-27

 DESCRIPTION           |   10 
 MD5                   |   11 
 NAMESPACE             |    2 
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 inst/CITATION         |    4 
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 7 files changed, 172 insertions(+), 872 deletions(-)

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Package paleoDiv updated to version 0.4.12 with previous version 0.4.6 dated 2025-03-23

Title: Extracting and Visualizing Paleobiodiversity
Description: Contains various tools for conveniently downloading and editing taxon-specific datasets from the Paleobiology Database <https://paleobiodb.org>, extracting information on abundance, temporal distribution of subtaxa and taxonomic diversity through deep time, and visualizing these data in relation to phylogeny and stratigraphy.
Author: Darius Nau [aut, cre]
Maintainer: Darius Nau <dariusnau@gmx.at>

Diff between paleoDiv versions 0.4.6 dated 2025-03-23 and 0.4.12 dated 2026-05-27

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 man/phylo.spindles.Rd                    |    3 
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 man/viol.Rd                              |    6 
 man/violins.Rd                           |    3 
 tests/testthat/test-paleodiv.R           |    3 
 20 files changed, 325 insertions(+), 141 deletions(-)

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Package redatam updated to version 2.3.1 with previous version 2.3.0 dated 2026-05-17

Title: Import 'REDATAM' Files
Description: Import 'REDATAM' formats into R via the 'Open REDATAM' C++ library. The full context of this project and details about the implementation are available in <doi:10.1017/dap.2025.4> (Open Access).
Author: Mauricio Vargas Sepulveda [aut, cre] , Lital Barkai [aut], Ivan Krylov [ctb], Arseny Kapoulkine [ctb] , Oriental Republic of Uruguay [dtc]
Maintainer: Mauricio Vargas Sepulveda <m.vargas.sepulveda@gmail.com>

Diff between redatam versions 2.3.0 dated 2026-05-17 and 2.3.1 dated 2026-05-27

 DESCRIPTION               |    6 -
 MD5                       |   10 -
 NEWS.md                   |   14 ++
 src/vendor/pugiconfig.hpp |   13 +-
 src/vendor/pugixml.cpp    |  242 ++++++++++++++++++++++++++++++++++------------
 src/vendor/pugixml.hpp    |   81 ++++++++-------
 6 files changed, 252 insertions(+), 114 deletions(-)

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Package llamaR updated to version 0.2.4 with previous version 0.2.3 dated 2026-04-06

Title: Interface for Large Language Models via 'llama.cpp'
Description: Provides 'R' bindings to 'llama.cpp' for running Large Language Models ('LLMs') locally with optional 'Vulkan' GPU acceleration via 'ggmlR'. Supports model loading, text generation, 'tokenization', token-to-piece conversion, 'embeddings' (single and batch), encoder-decoder inference, low-level batch management, chat templates, 'LoRA' adapters, explicit backend/device selection, multi-GPU split, and 'NUMA' optimization. Includes a high-level 'ragnar'-compatible embedding provider ('embed_llamar'). Built on top of 'ggmlR' for efficient tensor operations.
Author: Yuri Baramykov [aut, cre] , Georgi Gerganov [cph]
Maintainer: Yuri Baramykov <lbsbmsu@mail.ru>

Diff between llamaR versions 0.2.3 dated 2026-04-06 and 0.2.4 dated 2026-05-27

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Package qch updated to version 2.1.3 with previous version 2.1.2 dated 2026-02-16

Title: Query Composite Hypotheses
Description: Provides functions for the joint analysis of Q sets of p-values obtained for the same list of items. This joint analysis is performed by querying a composite hypothesis, i.e. an arbitrary complex combination of simple hypotheses, as described in Mary-Huard et al. (2021) <doi:10.1093/bioinformatics/btab592> and De Walsche et al.(2025) <doi: 10.1093/nargab/lqaf118>. In this approach, the Q-uplet of p-values associated with each item is distributed as a multivariate mixture, where each of the 2^Q components corresponds to a specific combination of simple hypotheses. The dependence between the p-value series is considered using a Gaussian copula function. A p-value for the composite hypothesis test is derived from the posterior probabilities.
Author: Tristan Mary-Huard [aut, cre] , Annaig De Walsche [aut] , Franck Gauthier [ctb]
Maintainer: Tristan Mary-Huard <tristan.mary-huard@agroparistech.fr>

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Package bravo updated to version 4.0.0 with previous version 3.2.2 dated 2024-10-29

Title: Bayesian Screening and Variable Selection
Description: Performs Bayesian variable screening and selection for ultra-high dimensional linear regression models.Also contains an user friendly web application to perform multi trait GWAS.
Author: Dongjin Li [aut, cre], Debarshi Chakraborty [aut], Somak Dutta [aut], Vivekananda Roy [ctb]
Maintainer: Dongjin Li <liyangxiaobei@gmail.com>

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Package WARDEN updated to version 2.0.3 with previous version 2.0.2 dated 2026-03-18

Title: Workflows for Health Technology Assessments in R using Discrete EveNts
Description: Toolkit to support and perform discrete event simulations with and without resource constraints in the context of health technology assessments (HTA). The package focuses on cost-effectiveness modelling and aims to be submission-ready to relevant HTA bodies in alignment with 'NICE TSD 15' <https://sheffield.ac.uk/nice-dsu/tsds/patient-level-simulation>. More details an examples can be found in the package website <https://jsanchezalv.github.io/WARDEN/>.
Author: Javier Sanchez Alvarez [aut, cre], Gabriel Lemyre [ctb], Valerie Aponte Ribero [ctb]
Maintainer: Javier Sanchez Alvarez <javiersanchezeco@gmail.com>

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Package TLCAR updated to version 0.1.1 with previous version 0.1.0 dated 2024-02-19

Title: Computation of Topp-Leone Cauchy Rayleigh (TLCAR ) distribution's properties
Description: Provides a comprehensive suite of statistical tools for analyzing, simulating, and computing properties of the Topp-Leone Cauchy Rayleigh (TLCAR) distribution, a versatile distribution amalgamating features of the Topp-Leone, Cauchy, and Rayleigh distributions, ideal for modeling intricate, heterogeneous data across scientific domains. See Atchadé, M.N., Bogninou, M.J., and Djibril, A.M. (2023) <doi:10.1007/s44199-023-00066-4> and Atchadé, M.N., Bogninou, M.J., and Djibril, A.M. (2024) <doi:10.1007/s44199-023-00069-1> for further insights.
Author: Mintode Nicodeme Atchade [aut], Jude Mahoule Bogninou [aut, cre]
Maintainer: Jude Mahoule Bogninou <mahoulejude2001@gmail.com>

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Package ReliaPlotR updated to version 0.6 with previous version 0.5 dated 2026-04-18

Title: Interactive Reliability Probability Plots
Description: Build interactive Reliability Probability Plots with 'plotly' by Carson Sievert (2020) <https://plotly.com/r/>, an interactive web-based graphing library.
Author: Paul Govan [aut, cre, cph]
Maintainer: Paul Govan <paul.govan2@gmail.com>

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Package mini007 updated to version 0.4.0 with previous version 0.3.0 dated 2026-01-12

Title: Lightweight Framework for Orchestrating Multi-Agent Large Language Models
Description: Provides tools for creating agents with persistent state using R6 classes <https://cran.r-project.org/package=R6> and the 'ellmer' package <https://cran.r-project.org/package=ellmer>. Tracks prompts, messages, and agent metadata for reproducible, multi-turn large language model sessions.
Author: Mohamed El Fodil Ihaddaden [aut, cre]
Maintainer: Mohamed El Fodil Ihaddaden <ihaddaden.fodeil@gmail.com>

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Package secr updated to version 5.4.3 with previous version 5.4.2 dated 2026-02-24

Title: Spatially Explicit Capture-Recapture
Description: Functions to estimate the density and size of a spatially distributed animal population sampled with an array of passive detectors, such as traps, or by searching polygons or transects. Models incorporating distance-dependent detection are fitted by maximizing the likelihood. Tools are included for data manipulation and model selection.
Author: Murray Efford [aut, cre] , Philipp Jund [ctb] , David Fletcher [ctb] , Yan Ru Choo [ctb]
Maintainer: Murray Efford <murray.efford@otago.ac.nz>

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Package ReliaLearnR updated to version 0.5 with previous version 0.3 dated 2026-01-06

Title: Learning Modules for Reliability Analysis
Description: Learning modules for reliability analysis including modules for Reliability, Availability, and Maintainability (RAM) Analysis, Life Data Analysis, Reliability Testing, Repairable Systems Analysis, and Reliability Block Diagrams.
Author: Paul Govan [aut, cre, cph]
Maintainer: Paul Govan <paul.govan2@gmail.com>

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Package POMADE updated to version 0.2.1 with previous version 0.2.0 dated 2024-02-13

Title: Power for Meta-Analysis of Dependent Effects
Description: Provides functions to compute and plot power levels, minimum detectable effect sizes, and minimum required sample sizes for the test of the overall average effect size in meta-analysis of dependent effect sizes.
Author: Mikkel H. Vembye [aut, cre] , James E. Pustejovsky [aut]
Maintainer: Mikkel H. Vembye <mikkel.vembye@gmail.com>

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Package jskm updated to version 0.6.3 with previous version 0.6.2 dated 2026-03-17

Title: Kaplan-Meier Plot with 'ggplot2'
Description: The function 'jskm()' creates publication quality Kaplan-Meier plot with at risk tables below. 'svyjskm()' provides plot for weighted Kaplan-Meier estimator.
Author: Jinseob Kim [aut, cre] , yoonkyoung Chun [aut], Zarathu [cph, fnd], sungho Choi [aut], Mingu Jee [aut], Wonbin Hahn [aut], Taehong Kim [aut], Sangho Oh [aut], Sewon Lee [aut]
Maintainer: Jinseob Kim <jinseob2kim@gmail.com>

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Package jewel updated to version 2.0.3 with previous version 2.0.2 dated 2024-05-22

Title: Graphical Models Estimation from Multiple Sources
Description: Estimates networks of conditional dependencies (Gaussian graphical models) from multiple classes of data (similar but not exactly, i.e. measurements on different equipment, in different locations or for various sub-types). Package also allows to generate simulation data and evaluate the performance. Implementation of the method described in Angelini, De Canditiis and Plaksienko (2022) <doi:10.3390/math10213983>.
Author: Anna Plaksienko [aut, cre] , Claudia Angelini [aut] , Daniela De Canditiis [aut]
Maintainer: Anna Plaksienko <anna@plaxienko.com>

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New package ridgeBART with initial version 1.0.2
Package: ridgeBART
Title: Bayesian Additive Regression Trees with Ridge Function Outputs
Version: 1.0.2
Date: 2026-05-19
Description: Implements an extension of Bayesian Additive Regression Trees (BART) in which each regression tree outputs a linear combination of random ridge functions (i.e., a composition of a non-linear function like cosine, hyperbolic tangent, the rectified linear unit with an affine transformation) instead of a constant. Can be used to perform "targeted smoothing" in which trees split on certain covariates but output smooth functions in other covariates. For more information, see Yee, Ghosh, and Deshpande (2026+) <doi:10.48550/arXiv.2411.07984>.
URL: https://github.com/ryanyee3/ridgeBART
License: GPL (>= 3)
LinkingTo: Rcpp, RcppArmadillo
Imports: Rcpp
NeedsCompilation: yes
Packaged: 2026-05-19 13:54:58 UTC; sameer
Author: Ryan Yee [aut] , Sameer K. Deshpande [aut, cre]
Maintainer: Sameer K. Deshpande <sameer.deshpande@wisc.edu>
Repository: CRAN
Date/Publication: 2026-05-27 10:30:02 UTC

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Package movedesign updated to version 0.3.3 with previous version 0.3.2 dated 2025-07-30

Title: Study Design Toolbox for Movement Ecology Studies
Description: Toolbox and 'shiny' application to help researchers design movement ecology studies, focusing on two key objectives: estimating home range areas, and estimating fine-scale movement behavior, specifically speed and distance traveled. It provides interactive simulations and methodological guidance to support study planning and decision-making. The application is described in Silva et al. (2023) <doi:10.1111/2041-210X.14153>.
Author: Ines Silva [cre, aut, cph]
Maintainer: Ines Silva <i.simoes-silva@hzdr.de>

Diff between movedesign versions 0.3.2 dated 2025-07-30 and 0.3.3 dated 2026-05-27

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 83 files changed, 33655 insertions(+), 22019 deletions(-)

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New package twoPhaseGAS with initial version 1.2.5
Package: twoPhaseGAS
Title: Two-Phase Genetic Association Study Design and Analysis with Missing Covariates by Design
Version: 1.2.5
Description: Provides functionality for designing and analysing two-phase genetic association studies. Phase 1 data usually come from genome-wide association study (GWAS) results and we assume phase 2 data will be part of a targeted genome sequencing or fine-mapping study. At design stage, the package assists in selecting a subset of individuals that will be sequenced for phase 2 via alternative approaches, including a flexible genetic algorithm (GA) for near-optimal designs. Once phase 2 data have been collected, the package implements methods to analyse phase 1 and phase 2 data together using semi-parametric regression models via the expectation-maximization (EM) algorithm. For more details see Espin-Garcia, Craiu and Bull (2018) <doi:10.1002/gepi.22099> and Espin-Garcia, Craiu and Bull (2021) <doi:10.1002/sim.9211>.
License: GPL (>= 2)
URL: https://github.com/egosv/twoPhaseGAS
BugReports: https://github.com/egosv/twoPhaseGAS/issues
Depends: R (>= 3.5.0)
Imports: data.table, dfoptim, enrichwith, kofnGA (>= 1.2), MASS, Matrix, nloptr, parallel, stats, utils
Suggests: gplots, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-05-19 16:07:48 UTC; osvespinga
Author: Osvaldo Espin-Garcia [aut, cre], Apostolos Dimitromanolakis [aut], Radu V Craiu [ths], Shelley B Bull [ths]
Maintainer: Osvaldo Espin-Garcia <oespinga@uwo.ca>
Repository: CRAN
Date/Publication: 2026-05-27 10:00:02 UTC

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New package qcaERT with initial version 0.1.0
Package: qcaERT
Title: Enhanced Robustness Tests for Qualitative Comparative Analysis
Version: 0.1.0
Description: Provides functions for assessing and visualizing robustness in Qualitative Comparative Analysis (QCA) workflows built with the 'QCA' package, including calibration thresholds, inclusion cutoffs, frequency cutoffs, case influence, subsample stability, alternative analysis settings, theory-specific condition sets, cluster-specific patterns, and solution summaries. Methods build on Dusa (2019) <doi:10.1007/978-3-319-75668-4> and Ragin (2014, ISBN:9780520280038).
License: MIT + file LICENSE
Encoding: UTF-8
VignetteBuilder: knitr, rmarkdown
Imports: methods, QCA, stats, utils
Suggests: ggplot2, knitr, rmarkdown, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-05-19 15:11:56 UTC; breno
Author: Breno A. H. Marisguia [aut, cre, cph]
Maintainer: Breno A. H. Marisguia <marisguiabreno@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-27 10:00:09 UTC

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New package nara with initial version 1.0.1
Package: nara
Title: Native Raster Image Tools
Version: 1.0.1
Maintainer: Mike Cheng <mikefc@coolbutuseless.com>
Description: Native rasters are a core R image format which use a compact color representation. This color representation closely aligns with graphics device internals meaning that these images can be rendered quickly. This package provides functions to quickly create, manipulate and composite native rasters.
URL: https://github.com/coolbutuseless/nara, https://coolbutuseless.github.io/package/nara/index.html
BugReports: https://github.com/coolbutuseless/nara/issues
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
LinkingTo: colorfast
Depends: R (>= 4.1.0)
Imports: colorfast
Suggests: testthat (>= 3.0.0), jpeg, fastpng, png, knitr, rmarkdown, magick
Copyright: The included 'deer' sprites are by Calciumtrice and licensed under CC BY 3.0. See 'inst/LICENSE-deer.txt' for more details. The included bitmap font 'spleen' was created by Frederic Cambus (c) 2018-2024. See 'inst/LICENSE-spleen.txt' for full LICENSE
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-05-19 12:07:33 UTC; mike
Author: Mike Cheng [aut, cre, cph], Julien Vernay [ctb]
Repository: CRAN
Date/Publication: 2026-05-27 09:30:02 UTC

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New package landmaRk with initial version 0.1.1
Package: landmaRk
Title: Time-to-Event Landmark Analysis using an Array of Longitudinal and Survival Sub-Models
Version: 0.1.1
Description: Provides a modular end-to-end framework for dynamic risk prediction based on time-to-event and longitudinal data. This allows flexible specifications for the longitudinal and survival sub-models. The 'landmaRk' package enables reproducible benchmarks of different model choices, including cross-validation to assess out-of-sample predictive performance. Methods are described in Velasco-Pardo, Constantine-Cooke, Lees and Vallejos (2026, manuscript under preparation) 'Landmarking with Latent Class Mixed Models for Dynamic Prediction of Time-to-event Data with Heterogeneous Biomarker Trajectories'.
License: GPL (>= 3)
BugReports: https://github.com/VallejosGroup/landmaRk/issues
Encoding: UTF-8
Depends: R (>= 4.1.0), survival
Imports: dplyr, ggplot2, lme4, Matrix, methods, pec, riskRegression, rlang, lcmm (>= 2.2.2), doParallel, foreach, utils, timeROC, prodlim
Suggests: JMbayes2, knitr, rmarkdown, testthat (>= 3.0.0), xml2, tidyverse, spelling, joineR, survminer, withr
LazyData: true
VignetteBuilder: knitr
URL: https://vallejosgroup.github.io/landmaRk/, https://github.com/VallejosGroup/landmaRk
Language: en-GB
NeedsCompilation: no
Packaged: 2026-05-18 09:12:58 UTC; vvelasco
Author: Victor Velasco-Pardo [aut, cre] , Nathan Constantine-Cooke [aut] , Catalina Vallejos [aut] , Charlie Lees [aut]
Maintainer: Victor Velasco-Pardo <vvelasco@ed.ac.uk>
Repository: CRAN
Date/Publication: 2026-05-27 10:00:16 UTC

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New package icomb with initial version 0.2.0
Package: icomb
Title: Forecasting Hierarchical Time Series Using Information Combination
Version: 0.2.0
Description: Implements the Information Combination (IComb) approach proposed by Nguyen, Vahid and Wickramasuriya (2025)<https://www.monash.edu/business/ebs/research/publications/ebs/2025/wp11-2025.pdf> for hierarchical forecast reconciliation. The method combines information from base forecasts constructed using different information sets while ensuring coherence. It is implemented using a penalized regression-based framework.
License: GPL (>= 3)
Language: en-US
Encoding: UTF-8
Imports: cli, distributional, dplyr, fabletools (>= 0.7.0), future.apply, generics, glmnet, progressr, purrr, tsibble, vctrs
Suggests: broom, fable, feasts, forecast, future, ggplot2, ggtime, hts, knitr, lubridate, plotly, rmarkdown, spelling, testthat (>= 3.0.0), tibble, tidyr
VignetteBuilder: knitr
Depends: R (>= 4.1.0)
URL: https://shanikalw.github.io/icomb/, https://github.com/ShanikaLW/icomb
BugReports: https://github.com/ShanikaLW/icomb/issues
NeedsCompilation: no
Packaged: 2026-05-19 12:53:03 UTC; shanikaw
Author: Shanika Wickramasuriya [aut, cre, cph], Mitchell O'Hara-Wild [ctb], Nuwani Palihawadana [ctb], Minh Nguyen [ctb]
Maintainer: Shanika Wickramasuriya <shanika.wickramasuriya@monash.edu>
Repository: CRAN
Date/Publication: 2026-05-27 09:30:08 UTC

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New package icdhelper with initial version 0.1.2
Package: icdhelper
Title: Simple 'ICD-10' Code Descriptions
Version: 0.1.2
Description: Provides utilities to retrieve and manage 'ICD-10' code descriptions from 'Excel' files. Supports vectors, data frame columns, and association rule outputs (e.g., 'arules' objects) that require mapping to 'ICD-10' descriptions. Designed to simplify processing of healthcare datasets.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: readxl, arules, utils
NeedsCompilation: no
Packaged: 2026-05-19 13:09:05 UTC; nishg
Author: Nisha Sheshashayee [aut, cre]
Maintainer: Nisha Sheshashayee <sheshana@mail.uc.edu>
Repository: CRAN
Date/Publication: 2026-05-27 09:40:02 UTC

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New package hmmTensor with initial version 0.1.0
Package: hmmTensor
Title: Hidden Markov Model by Matrix and Tensor Decomposition
Version: 0.1.0
Description: Solves Hidden Markov Models (HMMs) via matrix and tensor decomposition. Converts observation sequences to co-occurrence matrices/tensors and applies Symmetric Non-negative Matrix Factorization (symNMF), Singular Value Decomposition (SVD), CANDECOMP/PARAFAC (CP) decomposition, or Tensor-Train (TT) decomposition to recover HMM parameters. Also provides standard HMM algorithms (Forward, Backward, Viterbi, Baum-Welch) for comparison. The spectral learning approach for HMMs is based on Hsu, Kakade, and Zhang (2012) <doi:10.1016/j.jcss.2011.12.025>. The symNMF method is described in Kuang, Yun, and Park (2015) <doi:10.1007/s10898-014-0247-2>. The Tensor-Train decomposition is described in Oseledets (2011) <doi:10.1137/090752286>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: rTensor, symTensor, methods, stats
Suggests: testthat
NeedsCompilation: no
Packaged: 2026-05-19 11:03:11 UTC; koki
Author: Koki Tsuyuzaki [aut, cre]
Maintainer: Koki Tsuyuzaki <k.t.the-answer@hotmail.co.jp>
Repository: CRAN
Date/Publication: 2026-05-27 09:10:02 UTC

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New package highdir with initial version 0.5.0
Package: highdir
Title: Backend-Agnostic Figure Builder for 'highcharter' and 'ggplot2'
Version: 0.5.0
Description: Provides a backend-agnostic 'API' for creating data visualizations using 'highcharter' (interactive) or 'ggplot2' (static). Figures are defined once via a specification object and can be rendered to either backend without modifying the calling code. Supports both declarative and layered workflows, flexible theming and colour palettes, optional 'JavaScript' enhancements, and tools for exporting figures and interactive exploration via a 'shiny' app.
URL: https://folkehelsestats.github.io/highdir/, https://github.com/folkehelsestats/highdir
BugReports: https://github.com/folkehelsestats/highdir/issues
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1.0)
Imports: highcharter (>= 0.9.4), ggplot2 (>= 3.4.0), htmlwidgets (>= 1.6.0), jsonlite (>= 1.8.0), rlang (>= 1.1.0), viridis (>= 0.6.0), shiny (>= 1.7.0), tools, utils, stats
Suggests: sf (>= 1.0.0), maps (>= 3.4.0), webshot2, bslib (>= 0.7.0), testthat (>= 3.0.0), withr (>= 2.5.0), data.table, knitr, rmarkdown, tibble
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-05-19 13:26:55 UTC; ykama
Author: Yusman Kamaleri [aut, cre]
Maintainer: Yusman Kamaleri <ybkamaleri@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-27 09:40:06 UTC

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New package ggsql with initial version 0.3.2
Package: ggsql
Title: Grammar of Graphics for SQL
Version: 0.3.2
Description: Allows you to write queries that combine SQL (Structured Query Language) data retrieval with visualization specifications in a single, composable syntax. The 'ggsql' package binds directly with the 'ggsql' 'Rust' library and allows you to set up readers and writers and execute queries against it. The package also offers 'knitr' and 'shiny' integration allowing the user to use 'ggsql' in both frameworks.
License: MIT + file LICENSE
Encoding: UTF-8
SystemRequirements: Cargo (Rust's package manager), rustc, ODBC driver manager (unixODBC on Linux, iODBC or unixODBC on macOS; built into Windows)
Imports: cli, htmltools, htmlwidgets, jsonlite, knitr, nanoarrow, R6, rlang (>= 1.1.0), yaml
Suggests: gapminder, quarto, reticulate, rmarkdown, rsvg, shiny, testthat (>= 3.0.0), V8, withr
Depends: R (>= 4.2)
VignetteBuilder: quarto
URL: https://r.ggsql.org, https://github.com/posit-dev/ggsql-r
BugReports: https://github.com/posit-dev/ggsql-r/issues
NeedsCompilation: yes
Packaged: 2026-05-19 08:24:47 UTC; thomas
Author: Thomas Lin Pedersen [aut, cre] , George Stagg [aut] , Teun van den Brand [aut] , Posit, PBC [cph, fnd]
Maintainer: Thomas Lin Pedersen <thomas.pedersen@posit.co>
Repository: CRAN
Date/Publication: 2026-05-27 09:10:08 UTC

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New package ggcube with initial version 0.1.0
Package: ggcube
Title: 3D Plotting with 'ggplot2'
Version: 0.1.0
Description: A 'ggplot2' extension for creating 3D figures. Provides 3D geoms, stats, and a coord_3d() coordinate system supporting rotation, perspective, and lighting.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
URL: https://github.com/matthewkling/ggcube, https://matthewkling.github.io/ggcube/
BugReports: https://github.com/matthewkling/ggcube/issues
Depends: R (>= 3.5), ggplot2
Imports: dplyr, tidyr, stringr, scales, rlang, grid, lifecycle, labeling, purrr, magrittr, polyclip, isoband, systemfonts
Suggests: alphashape3d, av, base64enc, geometry, gifski, knitr, MASS, mgcv, patchwork, progress, ragg, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-05-19 15:35:57 UTC; matthewkling
Author: Matthew Kling [aut, cre, cph]
Maintainer: Matthew Kling <mattkling@berkeley.edu>
Repository: CRAN
Date/Publication: 2026-05-27 10:00:23 UTC

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New package CoalescentPhylo with initial version 0.1.0
Package: CoalescentPhylo
Title: Phylogenetics via Root Distances Method Under the Coalescent
Version: 0.1.0
Description: Estimates phylogenetic trees from allele count data using the root distance method under the Coalescent Model. Given a matrix of allele counts across taxa and loci, the package estimates pairwise root distances under the Coalescent Model using maximum likelihood estimation. Then, it estimates a labeled phylogenetic tree from the estimated root distances. See Peng et al. (2021) <doi:10.1016/j.ympev.2021.107142>.
License: AGPL-3
URL: https://github.com/ArindamRoyChoudhury/CoalescentPhylo
BugReports: https://github.com/ArindamRoyChoudhury/CoalescentPhylo/issues
Depends: R (>= 3.5.0)
Imports: ape, parallel, pbapply, phangorn, rootSolve
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2026-05-19 13:55:39 UTC; yingli
Author: Arindam RoyChoudhury [aut, cre, cph], Ying Li [aut]
Maintainer: Arindam RoyChoudhury <arr2014@med.cornell.edu>
Repository: CRAN
Date/Publication: 2026-05-27 09:50:02 UTC

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New package BIOEFIC with initial version 0.1.1
Package: BIOEFIC
Title: Relative Bioefficiency via Simultaneous Regressions
Version: 0.1.1
Description: Fits simultaneous regression models to compare two sources (reference and test) and estimates relative bioefficiency. Includes simultaneous exponential model with common asymptote (model = 1), slope-ratio model (model = 2), quadratic model (model = 3), linear-response plateau model (model = 4), and Michaelis-Menten model (model = 5). Output style follows the 'easyreg' package. Methods are based on Finney (1978, ISBN:0-85264-252-0), Mercer et al. (1978) <doi:10.1093/jn/108.8.1244>, Robbins et al. (1979) <doi:10.1093/jn/109.10.1710>, Noll et al. (1984) <doi:10.3382/ps.0632458>, Gallant and Fuller (1973) <doi:10.1080/01621459.1973.10481356>, Littell et al. (1997) <doi:10.2527/1997.75102672x>, and Burnham and Anderson (2002, ISBN:978-0-387-95364-9).
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
Imports: ggplot2, minpack.lm, stats
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-05-19 11:51:52 UTC; Michel
Author: Michel Blezins de Arruda [aut, cre]
Maintainer: Michel Blezins de Arruda <michel_blezins@yahoo.com.br>
Repository: CRAN
Date/Publication: 2026-05-27 09:20:07 UTC

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New package astronomR with initial version 0.1.0
Package: astronomR
Title: Cosmic Insights: Statistical Frameworks for Astronomers
Version: 0.1.0
Description: A comprehensive toolkit for astronomical and cosmological computations. Provides functions for angular coordinate conversions (degrees, hours-minutes-seconds, degrees-minutes-seconds, and radians), access to fundamental physical constants, queries to the Gaia Archive TAP (Table Access Protocol) service, cosmological distance calculations, and early-universe thermal physics including photon density and 'Saha' equation solutions.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
URL: https://github.com/samrit2442/astronomR
BugReports: https://github.com/samrit2442/astronomR/issues
Imports: dplyr, httr, jsonlite, pracma, readr, stringr, tibble, tidyr
Depends: R (>= 4.1.0)
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-05-19 12:08:19 UTC; samri
Author: Samrit Pramanik [aut, cre] , Kazi Abu Rousan [aut]
Maintainer: Samrit Pramanik <samrit.2442@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-27 09:20:02 UTC

More information about astronomR at CRAN
Permanent link

New package AIGovernance with initial version 0.1.0
Package: AIGovernance
Title: Statistical Auditing and Governance Reporting for Employment AI Systems
Version: 0.1.0
Description: Provides statistical auditing, risk documentation, and reporting tools to support AI governance workflows for employment and hiring decision systems. Implements the EEOC four-fifths adverse impact rule (Equal Employment Opportunity Commission, 1978, <https://www.ecfr.gov/current/title-29/subtitle-B/chapter-XIV/part-1607>), NYC Local Law 144 bias audit requirements (New York City, 2023, <https://www.nyc.gov/site/dca/about/automated-employment-decision-tools.page>), and the AI Risk Management Framework checklist items from the National Institute of Standards and Technology (2023, <doi:10.6028/NIST.AI.100-1>). Optionally supports EU AI Act high-risk classification (European Parliament and Council, 2024, <https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX:32024R1689>). The package does not provide legal advice or certify legal compliance; it is a statistical and documentation support tool.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1.0)
Imports: cli, rlang, stats, tibble, dplyr
Suggests: ggplot2, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Language: en-US
URL: https://github.com/causalfragility-lab/AIGovernance
BugReports: https://github.com/causalfragility-lab/AIGovernance/issues
NeedsCompilation: no
Packaged: 2026-05-19 14:37:57 UTC; Subir
Author: Subir Hait [aut, cre]
Maintainer: Subir Hait <haitsubi@msu.edu>
Repository: CRAN
Date/Publication: 2026-05-27 09:50:07 UTC

More information about AIGovernance at CRAN
Permanent link


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