Sat, 09 May 2026

Package marsrad updated to version 1.0.1 with previous version 1.0.0 dated 2025-11-27

Title: Mars Solar Radiation
Description: A set of functions to calculate solar irradiance and insolation on Mars horizontal and inclined surfaces. Based on NASA Technical Memoranda 102299, 103623, 105216, 106321, and 106700, i.e. the canonical Mars solar radiation papers.
Author: Georges Labreche [aut, cre]
Maintainer: Georges Labreche <georges@tanagraspace.com>

Diff between marsrad versions 1.0.0 dated 2025-11-27 and 1.0.1 dated 2026-05-09

 DESCRIPTION |    8 ++++----
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 3 files changed, 17 insertions(+), 6 deletions(-)

More information about marsrad at CRAN
Permanent link

Package gwas2crispr updated to version 0.1.4 with previous version 0.1.2 dated 2025-08-22

Title: GWAS-to-CRISPR Data Pipeline for High-Throughput SNP Target Extraction
Description: Provides a reproducible pipeline to conduct genome-wide association studies (GWAS) and extract single-nucleotide polymorphisms (SNPs) for a human trait or disease. Given aggregated GWAS dataset(s) and a user-defined significance threshold, the package retrieves significant SNPs from the GWAS Catalog and the Experimental Factor Ontology (EFO), annotates their gene context, and can write a harmonised metadata table in comma-separated values (CSV) format, genomic intervals in the Browser Extensible Data (BED) format, and sequences in the FASTA (text-based sequence) format with user-defined flanking regions for clustered regularly interspaced short palindromic repeats (CRISPR) guide design. For details on the resources and methods see: Buniello et al. (2019) <doi:10.1093/nar/gky1120>; Sollis et al. (2023) <doi:10.1093/nar/gkac1010>; Jinek et al. (2012) <doi:10.1126/science.1225829>; Malone et al. (2010) <doi:10.1093/bioinformatics/btq099>; Experimental Factor Ontolo [...truncated...]
Author: Othman S. I. Mohammed [aut, cre], LEOPARD.LY LTD [cph]
Maintainer: Othman S. I. Mohammed <admin@leopard.ly>

Diff between gwas2crispr versions 0.1.2 dated 2025-08-22 and 0.1.4 dated 2026-05-09

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More information about gwas2crispr at CRAN
Permanent link

Package Rdistance updated to version 4.4.2 with previous version 4.4.0 dated 2026-04-22

Title: Density and Abundance from Distance-Sampling Surveys
Description: Distance-sampling (<doi:10.1007/978-3-319-19219-2>) is a field survey and analytical method that estimates density and abundance of survey targets (e.g., animals) when detection probability declines with observation distance. Distance-sampling is popular in ecology, especially when survey targets are observed from aerial platforms (e.g., airplane or drone), surface vessels (e.g., boat or truck), or along walking transects. Analysis involves fitting smooth (parametric) curves to histograms of observation distances and using those functions to adjust density estimates for missed targets. Routines included here fit curves to observation distance histograms, estimate effective sampling area, density of targets in surveyed areas, and the abundance of targets in a surrounding study area. Confidence interval estimation uses built-in bootstrap resampling. Help files are extensive and have been vetted by multiple authors. Many tutorials are available on the package's website (URL below).
Author: Trent McDonald [cre, aut], Jason Carlisle [aut], Aidan McDonald [aut] , Ryan Nielson [ctb] , Ben Augustine [ctb] , James Griswald [ctb] , Patrick McKann [ctb] , Lacey Jeroue [ctb] , Hoffman Abigail [ctb] , Kleinsausser Michael [ctb] , Joel Reynolds [ [...truncated...]
Maintainer: Trent McDonald <trent@mcdonalddatasciences.com>

Diff between Rdistance versions 4.4.0 dated 2026-04-22 and 4.4.2 dated 2026-05-09

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More information about Rdistance at CRAN
Permanent link

Package PWEXP updated to version 0.5.1 with previous version 0.5.0 dated 2024-03-12

Title: Piecewise Exponential Distribution Prediction Model
Description: Build piecewise exponential survival model for study design (planning) and event/timeline prediction.
Author: Tianchen Xu [aut, cre] , Wen Zhang [aut]
Maintainer: Tianchen Xu <zjph602xutianchen@gmail.com>

Diff between PWEXP versions 0.5.0 dated 2024-03-12 and 0.5.1 dated 2026-05-09

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Package htsr updated to version 2.1.7 with previous version 2.1.6 dated 2024-08-17

Title: Hydro-Meteorology Time-Series
Description: Functions for the management and treatment of hydrology and meteorology time-series stored in a 'Sqlite' data base.
Author: Pierre Chevallier [aut, cre]
Maintainer: Pierre Chevallier <pierre.chevallier@mailo.com>

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Package tibblify readmission to version 0.4.0 with previous version 0.3.1 dated 2024-01-11

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

This is a re-admission after prior archival of version 0.3.1 dated 2024-01-11

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More information about tibblify at CRAN
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Package ecolRxC updated to version 0.1.1-16 with previous version 0.1.1-10 dated 2023-03-31

Title: Ecological Inference of RxC Tables by Latent Structure Approaches
Description: Estimates RxC (R by C) vote transfer matrices (ecological contingency tables) from aggregate data building on Thomsen (1987) and Park (2008) approaches. References: Park, W.-H. (2008). ''Ecological Inference and Aggregate Analysis of Election''. PhD Dissertation. University of Michigan. <https://deepblue.lib.umich.edu/bitstream/handle/2027.42/58525/wpark_1.pdf> PavĂ­a, J.M. and Thomsen, S.R. (2025) ''ecolRxC: Ecological inference estimation of RxC tables using latent structure approaches''. Political Science Research and Methods, 13(4), 943-961. <doi:10.1017/psrm.2024.57> Thomsen, S.R. (1987, ISBN:87-7335-037-2). ''Danish Elections 1920 79: a Logit Approach to Ecological Analysis and Inference''. Politica, Aarhus, Denmark. Acknowledgements: The authors wish to thank Generalitat Valenciana (Conselleria de Educacion, Cultura y Universidades), grant CIACIO/2023/031, and Ministerio de Economia e Innovacion, grant PID2021-128228NB-I00, for supporting this research.
Author: Jose M. Pavia [aut, cre] , Soeren Risbjerg Thomsen [aut]
Maintainer: Jose M. Pavia <jose.m.pavia@uv.es>

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Permanent link

Package clordr readmission to version 1.7.2 with previous version 1.7.0 dated 2022-03-25

Title: Composite Likelihood Inference and Diagnostics for Replicated Spatial Ordinal Data
Description: Composite likelihood parameter estimate and asymptotic covariance matrix are calculated for the spatial ordinal data with replications, where spatial ordinal response with covariate and both spatial exponential covariance within subject and independent and identically distributed measurement error. Parameter estimation can be performed by either solving the gradient function or maximizing composite log-likelihood. Parametric bootstrapping is used to estimate the Godambe information matrix and hence the asymptotic standard error and covariance matrix with parallel processing option. Moreover, the proposed surrogate residual, which extends the results of Liu and Zhang (2017) <doi: 10.1080/01621459.2017.1292915>, can act as a useful tool for model diagnostics.
Author: Ting Fung Ma [cre, aut], Pingping Wang [aut], Jun Zhu [aut], Dipankar Bandyopadhyay [ctb], Yincai Tang [ctb]
Maintainer: Ting Fung Ma <tingfung@mailbox.sc.edu>

This is a re-admission after prior archival of version 1.7.0 dated 2022-03-25

Diff between clordr versions 1.7.0 dated 2022-03-25 and 1.7.2 dated 2026-05-09

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More information about clordr at CRAN
Permanent link

Package climatekit updated to version 0.2.0 with previous version 0.1.0 dated 2026-03-23

Title: Unified Climate Indices for Temperature, Precipitation, and Drought
Description: Compute the standard suite of climate indices from daily weather observations. Provides the canonical 'ETCCDI' 27 (Expert Team on Climate Change Detection and Indices), the 'ET-SCI' heatwave and cold-wave families plus the Excess Heat Factor of Nairn and Fawcett (2013), and agroclimatic, drought, and human-comfort families. Drought indices ('SPI', 'SPEI') accept a choice of distribution (gamma or Pearson III for SPI; log-logistic or generalised extreme value for SPEI). Reference evapotranspiration is available via Hargreaves and the FAO-56 Penman-Monteith method (Allen et al. 1998). Percentile-based indices support the Zhang (2005) in-base bootstrap. Daily inputs are numeric vectors plus a 'Date' vector; outputs are tidy data frames. Optional gridded support via 'terra' applies any index over a 'SpatRaster' and reads 'netCDF' input. No external API calls; pairs with data packages such as 'readnoaa'. References: Alexander et al. (2006) <doi:10.1029/2005JD006290>; Zhang et al. (201 [...truncated...]
Author: Charles Coverdale [aut, cre]
Maintainer: Charles Coverdale <charlesfcoverdale@gmail.com>

Diff between climatekit versions 0.1.0 dated 2026-03-23 and 0.2.0 dated 2026-05-09

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More information about climatekit at CRAN
Permanent link

Package azr updated to version 0.3.4 with previous version 0.3.3 dated 2026-05-04

Title: Credential Chain for Seamless 'OAuth 2.0' Authentication to 'Azure Services'
Description: Implements a credential chain for 'Azure OAuth 2.0' authentication based on the package 'httr2''s 'OAuth' framework. Sequentially attempts authentication methods until one succeeds. During development allows interactive browser-based flows ('Device Code' and 'Auth Code' flows) and non-interactive flow ('Client Secret') in batch mode.
Author: Pedro Baltazar [aut, cre]
Maintainer: Pedro Baltazar <pedrobtz@gmail.com>

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Package ume updated to version 1.6.1 with previous version 1.5.2 dated 2025-12-12

Title: Ultrahigh-Resolution Mass Spectrometry Data Evaluation for Complex Organic Matter
Description: Provides tools for assigning molecular formulas from exact masses obtained by ultrahigh-resolution mass spectrometry. The methodology follows the workflow described in Leefmann et al. (2019) <doi:10.1002/rcm.8315>. The package supports the inspection, filtering and visualization of molecular formula data and includes utilities for calculating common molecular parameters (e.g., double bond equivalents, DBE). A graphical user interface is available via the 'shiny'-based 'ume' application.
Author: Boris Koch [aut, cre] , Stephan Frickenhaus [ctb] , Oliver Lechtenfeld [ctb] , Tim Leefmann [ctb] , Fabian Moye [ctb]
Maintainer: Boris Koch <boris.koch@awi.de>

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Package odbc updated to version 1.7.0 with previous version 1.6.4.1 dated 2025-12-24

Title: Connect to ODBC Compatible Databases (using the DBI Interface)
Description: A DBI-compatible interface to ODBC databases.
Author: Jim Hester [aut], Hadley Wickham [aut, cre], Oliver Gjoneski [aut], Simon Couch [aut], lexicalunit [cph] , Google Inc. [cph] , Posit Software, PBC [cph, fnd]
Maintainer: Hadley Wickham <hadley@posit.co>

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More information about odbc at CRAN
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Package growthcleanr updated to version 2.2.3 with previous version 2.2.1 dated 2026-02-18

Title: Data Cleaner for Anthropometric Measurements
Description: Identifies implausible anthropometric (e.g., height, weight) measurements in irregularly spaced longitudinal datasets, such as those from electronic health records.
Author: Carrie Daymont [ctb, cre], Robert Grundmeier [aut], Jeffrey Miller [aut], Diego Campos [aut], Dan Chudnov [ctb], Hannah De los Santos [ctb], Lusha Cao [ctb], Steffani Silva [ctb], Hanzhe Zhang [ctb], Matt Boyas [ctb], David Freedman [ctb], Andreas Ac [...truncated...]
Maintainer: Carrie Daymont <cdaymont@pennstatehealth.psu.edu>

Diff between growthcleanr versions 2.2.1 dated 2026-02-18 and 2.2.3 dated 2026-05-09

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Package xpose.nlmixr2 updated to version 0.4.2 with previous version 0.4.1 dated 2025-06-27

Title: Graphical Diagnostics for Pharmacometric Models: Extension to 'nlmixr2'
Description: Extension to 'xpose' to support 'nlmixr2'. Provides functions to import 'nlmixr2' fit data into an 'xpose' data object, allowing the use of 'xpose' for 'nlmixr2' model diagnostics.
Author: Justin Wilkins [aut, cre, cph], Matthew Fidler [aut, cph], Benjamin Guiastrennec [aut], Andrew C. Hooker [aut], Anna Olofsson [aut, cph], Sebastian Ueckert [aut], Ron Keizer [aut], Kajsa Harling [ctb], Mike K. Smith [ctb], Elodie Plan [ctb], Mats O. [...truncated...]
Maintainer: Justin Wilkins <justin.wilkins@occams.com>

Diff between xpose.nlmixr2 versions 0.4.1 dated 2025-06-27 and 0.4.2 dated 2026-05-09

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Package waterfalls updated to version 1.1.4 with previous version 1.0.0 dated 2022-11-20

Title: Create Waterfall Charts using 'ggplot2' Simply
Description: A not uncommon task for quants is to create 'waterfall charts'. There seems to be no simple way to do this in 'ggplot2' currently. This package contains a single function (waterfall) that simply draws a waterfall chart in a 'ggplot2' object. Some flexibility is provided, though often the object created will need to be modified through a theme.
Author: Hugh Parsonage [aut, cre]
Maintainer: Hugh Parsonage <hugh.parsonage+waterfall@gmail.com>

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More information about waterfalls at CRAN
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Package uaparserjs updated to version 0.3.8 with previous version 0.3.7 dated 2026-04-01

Title: Parse 'User-Agent' Strings
Description: Despite there being a section in RFC 7231 <https://datatracker.ietf.org/doc/html/rfc7231#section-5.5.3> defining a suggested structure for 'User-Agent' headers this data is notoriously difficult to parse consistently. Tools are provided that will take in user agent strings and return structured R objects. This is a 'V8'-backed package based on the 'ua-parser' project <https://github.com/ua-parser>.
Author: Bob Rudis [aut, cph], Greg Hunt [aut, cre, cph], Lindsey Simon [aut] , Tobie Langel [aut] , Colman Humphrey [ctb]
Maintainer: Greg Hunt <greg@firmansyah.com>

Diff between uaparserjs versions 0.3.7 dated 2026-04-01 and 0.3.8 dated 2026-05-09

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Package TreeDist updated to version 2.14.0 with previous version 2.12.0 dated 2026-02-13

Title: Calculate and Map Distances Between Phylogenetic Trees
Description: Implements measures of tree similarity, including information-based generalized Robinson-Foulds distances (Phylogenetic Information Distance, Clustering Information Distance, Matching Split Information Distance; Smith 2020) <doi:10.1093/bioinformatics/btaa614>; Jaccard-Robinson-Foulds distances (Bocker et al. 2013) <doi:10.1007/978-3-642-40453-5_13>, including the Nye et al. (2006) metric <doi:10.1093/bioinformatics/bti720>; the Matching Split Distance (Bogdanowicz & Giaro 2012) <doi:10.1109/TCBB.2011.48>; the Hierarchical Mutual Information (Perotti et al. 2015) <doi:10.1103/PhysRevE.92.062825>; Maximum Agreement Subtree distances; the Kendall-Colijn (2016) distance <doi:10.1093/molbev/msw124>, and the Nearest Neighbour Interchange (NNI) distance, approximated per Li et al. (1996) <doi:10.1007/3-540-61332-3_168>. Includes tools for visualizing mappings of tree space (Smith 2022) <doi:10.1093/sysbio/syab100>, for identifying islands o [...truncated...]
Author: Martin R. Smith [aut, cre, cph, prg] , Roy Jonker [prg, cph] , Yong Yang [ctb, cph] , Yi Cao [ctb, cph] , Neil Kaye [cph]
Maintainer: Martin R. Smith <martin.smith@durham.ac.uk>

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Package tram updated to version 1.4-2 with previous version 1.4-1 dated 2026-03-08

Title: Transformation Models
Description: Formula-based user-interfaces to specific transformation models implemented in package 'mlt' (<DOI:10.32614/CRAN.package.mlt>, <DOI:10.32614/CRAN.package.mlt.docreg>). Available models include Cox models, some parametric survival models (Weibull, etc.), models for ordered categorical variables, normal and non-normal (Box-Cox type) linear models, and continuous outcome logistic regression (Lohse et al., 2017, <DOI:10.12688/f1000research.12934.1>). The underlying theory is described in Hothorn et al. (2018) <DOI:10.1111/sjos.12291>. An extension to transformation models for clustered data is provided (Barbanti and Hothorn, 2022, <DOI:10.1093/biostatistics/kxac048>) and a tutorial explains applications in survival analysis (Siegfried et al., 2025, <DOI:10.48550/arXiv.2402.06428>). Multivariate conditional transformation models (Klein et al, 2022, <DOI:10.1111/sjos.12501>) and shift-scale transformation models (Siegfried et al, 2023, <DOI:10.108 [...truncated...]
Author: Torsten Hothorn [aut, cre] , Luisa Barbanti [ctb] , Sandra Siegfried [aut] , Lucas Kook [aut] , Susanne Dandl [ctb] , Brian Ripley [ctb], Bill Venables [ctb], Douglas M. Bates [ctb], Nadja Klein [ctb]
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

Diff between tram versions 1.4-1 dated 2026-03-08 and 1.4-2 dated 2026-05-09

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More information about tram at CRAN
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Package tmap.networks updated to version 0.2 with previous version 0.1 dated 2025-05-30

Title: Extension to 'tmap' for Creating Network Visualizations
Description: Provides functions for visualizing networks with 'tmap'. It supports 'sfnetworks' objects natively but is not limited to them. Useful for adding network layers such as edges and nodes to 'tmap' maps. More features may be added in future versions.
Author: Martijn Tennekes [aut, cre], Andrea Gilardi [aut] , Robin Lovelace [ctb]
Maintainer: Martijn Tennekes <mtennekes@gmail.com>

Diff between tmap.networks versions 0.1 dated 2025-05-30 and 0.2 dated 2026-05-09

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Package tmap.mapgl updated to version 0.2-1 with previous version 0.1.0 dated 2025-09-22

Title: Extensions to 'tmap' with Two New Modes: 'mapbox' and 'maplibre'
Description: The 'tmap' package provides two plotting modes for static and interactive thematic maps. This package extends 'tmap' with two additional modes based on 'Mapbox GL JS' and 'MapLibre GL JS'. These modes feature interactive vector tiles, globe views, and other modern web-mapping capabilities, while maintaining a consistent 'tmap' interface across all plotting modes.
Author: Martijn Tennekes [aut, cre]
Maintainer: Martijn Tennekes <mtennekes@gmail.com>

Diff between tmap.mapgl versions 0.1.0 dated 2025-09-22 and 0.2-1 dated 2026-05-09

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Package tmap.glyphs updated to version 0.1-1 with previous version 0.1 dated 2025-05-30

Title: Extension to 'tmap' for Creating Glyphs
Description: Provides new layer functions to 'tmap' for drawing glyphs. A glyph is a small chart (e.g., donut chart) shown at specific map locations to visualize multivariate or time-series data. The functions work with the syntax of 'tmap' and allow flexible control over size, layout, and appearance.
Author: Martijn Tennekes [aut, cre]
Maintainer: Martijn Tennekes <mtennekes@gmail.com>

Diff between tmap.glyphs versions 0.1 dated 2025-05-30 and 0.1-1 dated 2026-05-09

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Package tmap.cartogram updated to version 0.2-1 with previous version 0.2 dated 2025-05-14

Title: Extension to 'tmap' for Creating Cartograms
Description: Provides new layer functions to 'tmap' for creating various types of cartograms. A cartogram is a type of thematic map in which geographic areas are resized or distorted based on a quantitative variable, such as population. The goal is to make the area sizes proportional to the selected variable while preserving geographic positions as much as possible.
Author: Martijn Tennekes [aut, cre], Sebastian Jeworutzki [ctb]
Maintainer: Martijn Tennekes <mtennekes@gmail.com>

Diff between tmap.cartogram versions 0.2 dated 2025-05-14 and 0.2-1 dated 2026-05-09

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Package survPen updated to version 2.0.4 with previous version 2.0.3 dated 2026-03-20

Title: Multidimensional Penalized Splines for (Excess) Hazard Models, Relative Mortality Ratio Models and Marginal Intensity Models
Description: Fits (excess) hazard, relative mortality ratio or marginal intensity models with multidimensional penalized splines allowing for time-dependent effects, non-linear effects and interactions between several continuous covariates. In survival and net survival analysis, in addition to modelling the effect of time (via the baseline hazard), one has often to deal with several continuous covariates and model their functional forms, their time-dependent effects, and their interactions. Model specification becomes therefore a complex problem and penalized regression splines represent an appealing solution to that problem as splines offer the required flexibility while penalization limits overfitting issues. Current implementations of penalized survival models can be slow or unstable and sometimes lack some key features like taking into account expected mortality to provide net survival and excess hazard estimates. In contrast, survPen provides an automated, fast, and stable implementation (than [...truncated...]
Author: Mathieu Fauvernier [aut, cre], Laurent Roche [aut], Laurent Remontet [aut], Zoe Uhry [ctb], Nadine Bossard [ctb], Elsa Coz [ctb]
Maintainer: Mathieu Fauvernier <mathieu.fauvernier@gmail.com>

Diff between survPen versions 2.0.3 dated 2026-03-20 and 2.0.4 dated 2026-05-09

 survPen-2.0.3/survPen/R/survPenV2_03.r                                                                  |only
 survPen-2.0.4/survPen/DESCRIPTION                                                                       |    9 
 survPen-2.0.4/survPen/MD5                                                                               |   88 
 survPen-2.0.4/survPen/NEWS                                                                              |   14 
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 survPen-2.0.4/survPen/man/HeartFailure.Rd                                                               |    2 
 survPen-2.0.4/survPen/man/NR.beta.Rd                                                                    |    2 
 survPen-2.0.4/survPen/man/NR.rho.Rd                                                                     |    2 
 survPen-2.0.4/survPen/man/constraint.Rd                                                                 |    2 
 survPen-2.0.4/survPen/man/cor.var.Rd                                                                    |    2 
 survPen-2.0.4/survPen/man/crs.FP.Rd                                                                     |    2 
 survPen-2.0.4/survPen/man/crs.Rd                                                                        |    2 
 survPen-2.0.4/survPen/man/datCancer.Rd                                                                  |    2 
 survPen-2.0.4/survPen/man/design.matrix.Rd                                                              |    2 
 survPen-2.0.4/survPen/man/expected.table.Rd                                                             |    2 
 survPen-2.0.4/survPen/man/instr.Rd                                                                      |    2 
 survPen-2.0.4/survPen/man/inv.repam.Rd                                                                  |    2 
 survPen-2.0.4/survPen/man/list.wicss.Rd                                                                 |    2 
 survPen-2.0.4/survPen/man/model.cons.Rd                                                                 |    2 
 survPen-2.0.4/survPen/man/predSNS.Rd                                                                    |    2 
 survPen-2.0.4/survPen/man/predict.survPen.Rd                                                            |    2 
 survPen-2.0.4/survPen/man/print.summary.survPen.Rd                                                      |    2 
 survPen-2.0.4/survPen/man/pwcst.Rd                                                                      |    2 
 survPen-2.0.4/survPen/man/rd.Rd                                                                         |    2 
 survPen-2.0.4/survPen/man/repam.Rd                                                                      |    2 
 survPen-2.0.4/survPen/man/robust.var.Rd                                                                 |    6 
 survPen-2.0.4/survPen/man/smf.Rd                                                                        |    2 
 survPen-2.0.4/survPen/man/smooth.cons.Rd                                                                |    2 
 survPen-2.0.4/survPen/man/smooth.cons.integral.Rd                                                       |    2 
 survPen-2.0.4/survPen/man/smooth.spec.Rd                                                                |    2 
 survPen-2.0.4/survPen/man/splitmult.Rd                                                                  |    2 
 survPen-2.0.4/survPen/man/summary.survPen.Rd                                                            |    2 
 survPen-2.0.4/survPen/man/survPen.Rd                                                                    |    5 
 survPen-2.0.4/survPen/man/survPen.fit.Rd                                                                |    2 
 survPen-2.0.4/survPen/man/survPenObject.Rd                                                              |    5 
 survPen-2.0.4/survPen/man/tensor.in.Rd                                                                  |    2 
 survPen-2.0.4/survPen/man/tensor.prod.S.Rd                                                              |    2 
 survPen-2.0.4/survPen/man/tensor.prod.X.Rd                                                              |    2 
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Package sftime updated to version 0.3.2 with previous version 0.3.1 dated 2025-08-19

Title: Classes and Methods for Simple Feature Objects that Have a Time Column
Description: Classes and methods for spatial objects that have a registered time column, in particular for irregular spatiotemporal data. The time column can be of any type, but needs to be ordinal. Regularly laid out spatiotemporal data (vector or raster data cubes) are handled by package 'stars'.
Author: Henning Teickner [aut, cre, cph] , Edzer Pebesma [aut, cph] , Benedikt Graeler [aut, cph]
Maintainer: Henning Teickner <henning.teickner@uni-muenster.de>

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Package sdcTable updated to version 0.34.0 with previous version 0.33.0 dated 2025-06-26

Title: Methods for Statistical Disclosure Control in Tabular Data
Description: Methods for statistical disclosure control in tabular data such as primary and secondary cell suppression as described for example in Hundepol et al. (2012) <doi:10.1002/9781118348239> are covered in this package.
Author: Bernhard Meindl [aut, cre]
Maintainer: Bernhard Meindl <bernhard.meindl@gmail.com>

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 sdcTable-0.34.0/sdcTable/R/attack.R                                                                            |  245 ++--
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 sdcTable-0.34.0/sdcTable/R/makeProblem.R                                                                       |   27 
 sdcTable-0.34.0/sdcTable/R/primarySuppression.R                                                                |  151 --
 sdcTable-0.34.0/sdcTable/R/protectTable.R                                                                      |   12 
 sdcTable-0.34.0/sdcTable/R/setInfo.R                                                                           |    1 
 sdcTable-0.34.0/sdcTable/R/utils.R                                                                             |  113 +
 sdcTable-0.34.0/sdcTable/R/utils_simpleheuristic.R                                                             |   14 
 sdcTable-0.34.0/sdcTable/R/zzz.r                                                                               |    1 
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 sdcTable-0.34.0/sdcTable/man/attack.Rd                                                                         |   35 
 sdcTable-0.34.0/sdcTable/man/cell_info.Rd                                                                      |    4 
 sdcTable-0.34.0/sdcTable/man/change_cellstatus.Rd                                                              |    6 
 sdcTable-0.34.0/sdcTable/man/contributing_indices.Rd                                                           |   41 
 sdcTable-0.34.0/sdcTable/man/createArgusInput.Rd                                                               |    4 
 sdcTable-0.34.0/sdcTable/man/createJJFormat.Rd                                                                 |    4 
 sdcTable-0.34.0/sdcTable/man/createRegSDCInput.Rd                                                              |    4 
 sdcTable-0.34.0/sdcTable/man/get_safeobj.Rd                                                                    |    4 
 sdcTable-0.34.0/sdcTable/man/makeProblem.Rd                                                                    |   37 
 sdcTable-0.34.0/sdcTable/man/primarySuppression.Rd                                                             |  134 +-
 sdcTable-0.34.0/sdcTable/man/protectTable.Rd                                                                   |   47 
 sdcTable-0.34.0/sdcTable/man/protect_linked_tables.Rd                                                          |    4 
 sdcTable-0.34.0/sdcTable/man/sdcProb2df.Rd                                                                     |    4 
 sdcTable-0.34.0/sdcTable/man/setInfo.Rd                                                                        |   30 
 sdcTable-0.34.0/sdcTable/man/writeJJFormat.Rd                                                                  |    2 
 sdcTable-0.34.0/sdcTable/tests/testthat/_snaps                                                                 |only
 sdcTable-0.34.0/sdcTable/tests/testthat/test-cell_info.R                                                       |    4 
 sdcTable-0.34.0/sdcTable/tests/testthat/test-contributing_indices.r                                            |    5 
 sdcTable-0.34.0/sdcTable/tests/testthat/test-jjformat.r                                                        |   10 
 sdcTable-0.34.0/sdcTable/tests/testthat/test-linked-tables.r                                                   |    2 
 sdcTable-0.34.0/sdcTable/tests/testthat/test-makeProblem.r                                                     |    4 
 sdcTable-0.34.0/sdcTable/tests/testthat/test-primarySuppression.r                                              |   11 
 sdcTable-0.34.0/sdcTable/tests/testthat/test-protectTable.r                                                    |   14 
 sdcTable-0.34.0/sdcTable/tests/testthat/test-samplingweights.r                                                 |    8 
 sdcTable-0.34.0/sdcTable/tests/testthat/test-simpleheuristic.R                                                 |    6 
 sdcTable-0.34.0/sdcTable/vignettes/sdcTable.rmd                                                                |  588 +++++++---
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Package rTensor updated to version 1.5.0 with previous version 1.4.9 dated 2025-08-25

Title: Tools for Tensor Analysis and Decomposition
Description: A set of tools for creation, manipulation, and modeling of tensors with arbitrary number of modes. A tensor in the context of data analysis is a multidimensional array. rTensor does this by providing a S4 class 'Tensor' that wraps around the base 'array' class. rTensor provides common tensor operations as methods, including matrix unfolding, summing/averaging across modes, calculating the Frobenius norm, and taking the inner product between two tensors. Familiar array operations are overloaded, such as index subsetting via '[' and element-wise operations. rTensor also implements various tensor decomposition, including CP, GLRAM, MPCA, PVD, Tucker, INDSCAL, RESCAL, DEDICOM, PARAFAC2, and 2DLDA. For tensors with 3 modes, rTensor also implements transpose, t-product, and t-SVD, as defined in Kilmer et al. (2013). Some auxiliary functions include the Khatri-Rao product, Kronecker product, and the Hadamard product for a list of matrices.
Author: James Li [aut], Jacob Bien [aut], Martin Wells [aut], Koki Tsuyuzaki [cre, ctb]
Maintainer: Koki Tsuyuzaki <k.t.the-answer@hotmail.co.jp>

Diff between rTensor versions 1.4.9 dated 2025-08-25 and 1.5.0 dated 2026-05-09

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Package rtemis.core updated to version 0.1.0 with previous version 0.0.3 dated 2026-04-21

Title: Core Utilities for the 'rtemis' Ecosystem
Description: Utilities used across packages of the 'rtemis' ecosystem. Includes the msg() messaging system and the fmt() formatting system. Provides a library of 'S7' properties, test_* functions that return logical values, check_* functions that throw informative errors, and clean_* functions that return validated and coerced values. This code began as part of the 'rtemis' package (<doi:10.32614/CRAN.package.rtemis>).
Author: E.D. Gennatas [aut, cre, cph]
Maintainer: E.D. Gennatas <gennatas@gmail.com>

Diff between rtemis.core versions 0.0.3 dated 2026-04-21 and 0.1.0 dated 2026-05-09

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Package rmapshaper updated to version 0.6.1 with previous version 0.6.0 dated 2025-12-04

Title: Client for 'mapshaper' for 'Geospatial' Operations
Description: Edit and simplify 'geojson', 'Spatial', and 'sf' objects. This is wrapper around the 'mapshaper' 'JavaScript' library by Matthew Bloch <https://github.com/mbloch/mapshaper/> to perform topologically-aware polygon simplification, as well as other operations such as clipping, erasing, dissolving, and converting 'multi-part' to 'single-part' geometries.
Author: Andy Teucher [aut, cre] , Kenton Russell [aut] , Matthew Bloch [cph]
Maintainer: Andy Teucher <andy.teucher@gmail.com>

Diff between rmapshaper versions 0.6.0 dated 2025-12-04 and 0.6.1 dated 2026-05-09

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Package rlas updated to version 1.9.0 with previous version 1.8.6 dated 2026-04-03

Title: Read and Write 'las' and 'laz' Binary File Formats Used for Remote Sensing Data
Description: Read and write 'las' and 'laz' binary file formats. The LAS file format is a public file format for the interchange of 3-dimensional point cloud data between data users. The LAS specifications are approved by the American Society for Photogrammetry and Remote Sensing <https://community.asprs.org/leadership-restricted/leadership-content/public-documents/standards>. The LAZ file format is an open and lossless compression scheme for binary LAS format versions 1.0 to 1.4 <https://laszip.org/>.
Author: Jean-Romain Roussel [aut, cre, cph], Florian De Boissieu [aut, ctb] , Martin Isenburg [cph] , David Auty [ctb] , Pierrick Marie [ctb] , Tiago de Conto [ctb]
Maintainer: Jean-Romain Roussel <info@r-lidar.com>

Diff between rlas versions 1.8.6 dated 2026-04-03 and 1.9.0 dated 2026-05-09

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Package remstats updated to version 4.0.0 with previous version 3.2.5 dated 2026-03-12

Title: Computes Statistics for Relational Event History Data
Description: Computes a variety of statistics for relational event models (Meijerink et al., 2023, <doi:10.3758/s13428-022-01821-8>). Relational event models enable researchers to investigate exogenous and endogenous factors, and interactions, influencing the evolution of a time-ordered sequence of events. These models are categorized into tie-oriented models (Butts, C., 2008, <doi:10.1111/j.1467-9531.2008.00203.x>), where the probability of a dyad interacting next is modeled in a single step, and actor-oriented models (Stadtfeld, C., & Block, P., 2017, <doi:10.15195/v4.a14>), which first model the probability of a sender initiating an interaction and subsequently the probability of the sender's choice of receiver. The package is designed to compute a variety of statistics that summarize exogenous and endogenous influences on the event stream for both types of models.
Author: Giuseppe Arena [aut] , Marlyne Meijerink-Bosman [aut], Joris Mulder [aut, cre], Diana Karimova [ctb], Rumana Lakdawala [ctb], Mahdi Shafiee Kamalabad [ctb], Fabio Generoso Vieira [ctb], Roger Leenders [ctb]
Maintainer: Joris Mulder <j.mulder3@tilburguniversity.edu>

Diff between remstats versions 3.2.5 dated 2026-03-12 and 4.0.0 dated 2026-05-09

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Package RcppSpdlog updated to version 0.0.29 with previous version 0.0.28 dated 2026-03-20

Title: R and C++ Interfaces to 'spdlog' C++ Header Library for Logging
Description: The mature and widely-used C++ logging library 'spdlog' by Gabi Melman provides many desirable features. This package bundles these header files for easy use by R packages from both their R and C or C++ code. Explicit use via 'LinkingTo:' is also supported. Also see the 'spdl' package which enhanced this package with a consistent R and C++ interface.
Author: Dirk Eddelbuettel [aut, cre] , Gabi Melman [aut] , Victor Zverovic [aut]
Maintainer: Dirk Eddelbuettel <edd@debian.org>

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Package R.devices updated to version 2.17.4 with previous version 2.17.3 dated 2025-12-18

Title: Unified Handling of Graphics Devices
Description: Functions for creating plots and image files in a unified way regardless of output format (EPS, PDF, PNG, SVG, TIFF, WMF, etc.). Default device options as well as scales and aspect ratios are controlled in a uniform way across all device types. Switching output format requires minimal changes in code. This package is ideal for large-scale batch processing, because it will never leave open graphics devices or incomplete image files behind, even on errors or user interrupts.
Author: Henrik Bengtsson [aut, cre, cph]
Maintainer: Henrik Bengtsson <henrikb@braju.com>

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Package QCA updated to version 3.25 with previous version 3.24 dated 2026-03-28

Title: Qualitative Comparative Analysis
Description: An extensive set of functions to perform Qualitative Comparative Analysis: crisp sets ('csQCA'), temporal ('tQCA'), multi-value ('mvQCA') and fuzzy sets ('fsQCA'). 'QCA' is a methodology that bridges the qualitative and quantitative divide in social science research. It uses a Boolean minimization algorithm, resulting in a minimal causal configuration associated with a given phenomenon.
Author: Adrian Dusa [aut, cre, cph] , Ciprian Paduraru [ctb] , Alrik Thiem [aut]
Maintainer: Adrian Dusa <dusa.adrian@unibuc.ro>

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Package plotdap updated to version 1.2.0 with previous version 1.1.1 dated 2026-01-10

Title: Easily Visualize Data from 'ERDDAP™' Servers via the 'rerddap' Package
Description: Easily visualize and animate 'tabledap' and 'griddap' objects obtained via the 'rerddap' package in a simple one-line command, using either base graphics or 'ggplot2' graphics. 'plotdap' handles extracting and reshaping the data, map projections and continental outlines. Optionally the data can be animated through time using the 'gganmiate' package.
Author: Carson Sievert [aut], Roy Mendelssohn [aut, ctb, cre]
Maintainer: Roy Mendelssohn <roy.mendelssohn@noaa.gov>

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Package parameters updated to version 0.29.0 with previous version 0.28.3 dated 2025-11-25

Title: Processing of Model Parameters
Description: Utilities for processing the parameters of various statistical models. Beyond computing p values, CIs, and other indices for a wide variety of models (see list of supported models using the function 'insight::supported_models()'), this package implements features like bootstrapping or simulating of parameters and models, feature reduction (feature extraction and variable selection) as well as functions to describe data and variable characteristics (e.g. skewness, kurtosis, smoothness or distribution).
Author: Daniel Luedecke [aut, cre] , Dominique Makowski [aut] , Mattan S. Ben-Shachar [aut] , Indrajeet Patil [aut] , Soeren Hoejsgaard [aut], Brenton M. Wiernik [aut] , Zen J. Lau [ctb], Vincent Arel-Bundock [ctb] , Jeffrey Girard [ctb] , Christina Maimone [re [...truncated...]
Maintainer: Daniel Luedecke <officialeasystats@gmail.com>

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Package optimizeR updated to version 1.3.0 with previous version 1.2.1 dated 2025-06-26

Title: Unified Framework for Numerical Optimizers
Description: Provides a unified object-oriented framework for numerical optimizers in R. Supports minimization and maximization with any optimizer, optimization over more than one function argument, computation time measurement, and time limits for long optimization tasks.
Author: Lennart Oelschlaeger [aut, cre] , Marius Oetting [ctb]
Maintainer: Lennart Oelschlaeger <oelschlaeger.lennart@gmail.com>

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Package ks updated to version 1.15.2 with previous version 1.15.1 dated 2025-05-04

Title: Kernel Smoothing
Description: Kernel smoothers for univariate and multivariate data, with comprehensive visualisation and bandwidth selection capabilities, including for densities, density derivatives, cumulative distributions, clustering, classification, density ridges, significant modal regions, and two-sample hypothesis tests. Chacon & Duong (2018) <doi:10.1201/9780429485572>.
Author: Tarn Duong [aut, cre] , Matt Wand [ctb] , Jose Chacon [ctb], Artur Gramacki [ctb]
Maintainer: Tarn Duong <tarn.duong@gmail.com>

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Package antedep updated to version 0.2.0 with previous version 0.1.0 dated 2026-04-24

Title: Antedependence Models for Longitudinal Data
Description: Fitting, simulation, and inference for antedependence models for longitudinal data, as described in Zimmerman and Nunez-Anton (2009, ISBN:9781420011074). Supports integer-valued antedependence (INAD) models for count data with thinning operators (binomial, Poisson, negative binomial) and flexible innovation distributions (Poisson, Bell, negative binomial), categorical antedependence models for discrete-state longitudinal outcomes, and Gaussian antedependence (AD) models for continuous data. Implements maximum likelihood estimation via time-separable optimization and block coordinate descent, with confidence intervals based on Louis' identity and profile likelihood.
Author: Chenyang Li [aut, cre], Dale Zimmerman [aut, ctb]
Maintainer: Chenyang Li <chenyang-li@uiowa.edu>

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Package projectLSA updated to version 0.0.9 with previous version 0.0.8 dated 2026-02-07

Title: Shiny Application for Latent Structure Analysis with a Graphical User Interface
Description: Provides an interactive Shiny-based toolkit for conducting latent structure analyses, including Latent Profile Analysis (LPA), Latent Class Analysis (LCA), Latent Trait Analysis (LTA/IRT), Exploratory Factor Analysis (EFA), Confirmatory Factor Analysis (CFA), and Structural Equation Modeling (SEM). The implementation is grounded in established methodological frameworks: LPA is supported through 'tidyLPA' (Rosenberg et al., 2018) <doi:10.21105/joss.00978>, LCA through 'poLCA' (Linzer & Lewis, 2011) <doi:10.32614/CRAN.package.poLCA> & 'glca' (Kim & Kim, 2024) <doi:10.32614/CRAN.package.glca>, LTA/IRT via 'mirt' (Chalmers, 2012) <doi:10.18637/jss.v048.i06>, and EFA via 'psych' (Revelle, 2025). SEM and CFA functionalities build upon the 'lavaan' framework (Rosseel, 2012) <doi:10.18637/jss.v048.i02>. Users can upload datasets or use built-in examples, fit models, compare fit indices, visualize results, and export outputs without programming.
Author: Hasan Djidu [aut, cre] , Heri Retnawati [ctb] , Samsul Hadi [ctb] , Haryanto [ctb]
Maintainer: Hasan Djidu <hasandjidu@gmail.com>

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Package S7schema updated to version 0.1.1 with previous version 0.1.0 dated 2026-03-13

Title: 'S7' Framework for Schema-Validated YAML Configuration
Description: Provides a generic framework for working with YAML (YAML Ain't Markup Language) configuration files. Uses 'ajv' (Another JSON Schema Validator) via 'V8' to validate configurations against JSON Schema definitions. Configuration objects inherit from 'S7' classes and base lists, supporting downstream extension through custom classes and methods.
Author: Aksel Thomsen [aut, cre], Matthew Phelps [aut], Novo Nordisk A/S [cph], Evgeny Poberezkin [cph] , Python Software Foundation [cph] ), Vladimir Zapparov [cph] , Vincent Le Goff [cph] , Vsevolod Strukchinsky [cph]
Maintainer: Aksel Thomsen <oath@novonordisk.com>

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Package BAMBI updated to version 2.3.7 with previous version 2.3.6 dated 2024-10-25

Title: Bivariate Angular Mixture Models
Description: Fit (using Bayesian methods) and simulate mixtures of univariate and bivariate angular distributions. Chakraborty and Wong (2021) <doi:10.18637/jss.v099.i11>.
Author: Saptarshi Chakraborty [aut, cre], Samuel W.K. Wong [aut], Florence Bockting [ctb]
Maintainer: Saptarshi Chakraborty <chakra.saptarshi@gmail.com>

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Package geommc updated to version 1.3.2 with previous version 1.3.1 dated 2026-02-27

Title: Geometric Markov Chain Sampling
Description: Simulates from discrete and continuous target distributions using geometric Metropolis-Hastings (MH) algorithms. Users specify the target distribution by an R function that evaluates the log un-normalized pdf or pmf. The package also contains a function implementing a specific geometric MH algorithm for performing high-dimensional Bayesian variable selection.
Author: Vivekananda Roy [aut, cre]
Maintainer: Vivekananda Roy <vroy@iastate.edu>

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