Tue, 23 Jun 2026

Package apexcharter updated to version 0.5.0 with previous version 0.4.5 dated 2026-01-07

Title: Create Interactive Chart with the JavaScript 'ApexCharts' Library
Description: Provides an 'htmlwidgets' interface to 'apexcharts.js'. 'Apexcharts' is a modern JavaScript charting library to build interactive charts and visualizations with simple API. 'Apexcharts' examples and documentation are available here: <https://apexcharts.com/>.
Author: Victor Perrier [aut, cre], Fanny Meyer [aut], Juned Chhipa [cph] , Mike Bostock [cph]
Maintainer: Victor Perrier <victor.perrier@dreamrs.fr>

Diff between apexcharter versions 0.4.5 dated 2026-01-07 and 0.5.0 dated 2026-06-23

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Package OlinkAnalyze updated to version 5.0.2 with previous version 5.0.0 dated 2026-03-28

Title: Facilitate Analysis of Proteomic Data from Olink
Description: A collection of functions to facilitate analysis of proteomic data from Olink, primarily NPX data that has been exported from Olink Software. The functions also work on QUANT data from Olink by log- transforming the QUANT data. The functions are focused on reading data, facilitating data wrangling and quality control analysis, performing statistical analysis and generating figures to visualize the results of the statistical analysis. The goal of this package is to help users extract biological insights from proteomic data run on the Olink platform.
Author: Kathleen Nevola [aut, cre] , Marianne Sandin [aut] , Jamey Guess [aut] , Simon Forsberg [aut] , Christoffer Cambronero [aut] , Pascal Pucholt [aut] , Boxi Zhang [aut] , Masoumeh Sheikhi [aut] , Klev Diamanti [aut] , Amrita Kar [aut] , Lei Conze [aut] [...truncated...]
Maintainer: Kathleen Nevola <biostattools@olink.com>

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More information about OlinkAnalyze at CRAN
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Package CNSigs updated to version 0.1.1 with previous version 0.1.0 dated 2026-01-08

Title: Analysis of Copy Number Signatures
Description: A workflow to generate and analyze signatures based on copy number data using non-negative matrix factorization (NMF) in an approach similar to that used in mutational signatures. It can be used to extract features from Copy number segment data and use that to find a subset of copy number signatures which can be further used to correlate with other relevant data. For more on 'NMF' see Gaujoux (2013) <doi:10.1186/1471-2105-11-367>.
Author: David Tallman [aut], Shawn Striker [cre, ctb], Daniel Stover [cph]
Maintainer: Shawn Striker <striker.35@osu.edu>

Diff between CNSigs versions 0.1.0 dated 2026-01-08 and 0.1.1 dated 2026-06-23

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Package SEQTaRget updated to version 1.4.3 with previous version 1.4.2 dated 2026-05-21

Title: Sequential Trial Emulation
Description: Implementation of sequential trial emulation for the analysis of observational databases. The 'SEQTaRget' software accommodates time-varying treatments and confounders, as well as binary and failure time outcomes. 'SEQTaRget' allows to compare both static and dynamic strategies, can be used to estimate observational analogs of intention-to-treat and per-protocol effects, and can adjust for potential selection bias induced by losses-to-follow-up. (Paper to come).
Author: Ryan O'Dea [aut, cre] , Alejandro Szmulewicz [aut] , Tom Palmer [aut] , Paul Madley-Dowd [aut] , Miguel Hernan [aut] , The President and Fellows of Harvard College [cph]
Maintainer: Ryan O'Dea <ryan.odea@psi.ch>

Diff between SEQTaRget versions 1.4.2 dated 2026-05-21 and 1.4.3 dated 2026-06-23

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Package ggRandomForests updated to version 3.2.0 with previous version 3.1.2 dated 2026-06-13

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

Diff between ggRandomForests versions 3.1.2 dated 2026-06-13 and 3.2.0 dated 2026-06-23

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Package fmesher updated to version 0.8.0 with previous version 0.7.0 dated 2026-02-19

Title: Triangle Meshes and Related Geometry Tools
Description: Generate planar and spherical triangle meshes, compute finite element calculations for 1-, 2-, and 3-dimensional flat and curved manifolds with associated basis function spaces, methods for lines and polygons, and transparent handling of coordinate reference systems and coordinate transformation, including 'sf' and 'sp' geometries. The core 'fmesher' library code was originally part of the 'INLA' package, and implements parts of "Triangulations and Applications" by Hjelle and Daehlen (2006) <doi:10.1007/3-540-33261-8>.
Author: Finn Lindgren [aut, cre, cph] , Seaton Andy [ctb] , Suen Man Ho [ctb] , Fabian E. Bachl [ctb]
Maintainer: Finn Lindgren <finn.lindgren@gmail.com>

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Package ernm updated to version 1.0.5 with previous version 1.0.4 dated 2025-10-14

Title: Exponential-Family Random Network Models
Description: Estimation of fully and partially observed Exponential-Family Random Network Models (ERNM). Exponential-family Random Graph Models (ERGM) and Gibbs Fields are special cases of ERNMs and can also be estimated with the package. Please cite Fellows and Handcock (2012), "Exponential-family Random Network Models" available at <doi:10.48550/arXiv.1208.0121>.
Author: Ian Fellows [aut], Duncan Clark [aut, cre]
Maintainer: Duncan Clark <dac6@williams.edu>

Diff between ernm versions 1.0.4 dated 2025-10-14 and 1.0.5 dated 2026-06-23

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Package distributional updated to version 0.8.0 with previous version 0.7.1 dated 2026-06-11

Title: Vectorised Probability Distributions
Description: Vectorised distribution objects with tools for manipulating, visualising, and using probability distributions. Designed to allow model prediction outputs to return distributions rather than their parameters, allowing users to directly interact with predictive distributions in a data-oriented workflow. In addition to providing generic replacements for p/d/q/r functions, other useful statistics can be computed including means, variances, intervals, and highest density regions.
Author: Mitchell O'Hara-Wild [aut, cre] , Matthew Kay [aut] , Alex Hayes [aut] , Rob Hyndman [aut] , Earo Wang [ctb] , Vencislav Popov [ctb]
Maintainer: Mitchell O'Hara-Wild <mail@mitchelloharawild.com>

Diff between distributional versions 0.7.1 dated 2026-06-11 and 0.8.0 dated 2026-06-23

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Package bfbin2arm updated to version 0.1.4 with previous version 0.1.3 dated 2026-06-01

Title: Bayes Factor Design for Two-Arm Binomial Trials
Description: Design and analysis of one- and two-stage binomial clinical phase II trials using Bayes factors. Implements Bayes factors for point-null and directional hypotheses, predictive densities under different hypotheses, and power and sample size calibration. Both one-arm trials with only a single treatment arm and two-arm trials with treatment and control arm are implemented for the one- and two-stage designs.
Author: Riko Kelter [aut, cre]
Maintainer: Riko Kelter <rkelter@uni-koeln.de>

Diff between bfbin2arm versions 0.1.3 dated 2026-06-01 and 0.1.4 dated 2026-06-23

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Package stratifyR readmission to version 1.0-5 with previous version 1.0-4 dated 2025-02-23

Title: Optimal Stratification of Univariate Populations
Description: The stratification of univariate populations under stratified sampling designs is implemented according to Khan et al. (2002) <doi:10.1177/0008068320020518> and Khan et al. (2015) <doi:10.1080/02664763.2015.1018674> in this library. It determines the Optimum Strata Boundaries (OSB) and Optimum Sample Sizes (OSS) for the study variable, y, using the best-fit frequency distribution of a survey variable (if data is available) or a hypothetical distribution (if data is not available). The method formulates the problem of determining the OSB as mathematical programming problem which is solved by using a dynamic programming technique. If a dataset of the population is available to the surveyor, the method estimates its best-fit distribution and determines the OSB and OSS under Neyman allocation directly. When the dataset is not available, stratification is made based on the assumption that the values of the study variable, y, are available as hypothetical realizations of proxy va [...truncated...]
Author: Karuna G. Reddy [aut, cre], M. G. M. Khan [aut]
Maintainer: Karuna G. Reddy <karuna.reddy@auckland.ac.nz>

This is a re-admission after prior archival of version 1.0-4 dated 2025-02-23

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Package pcvr updated to version 1.4.1 with previous version 1.3.1 dated 2025-08-18

Title: Plant Phenotyping and Bayesian Statistics
Description: Analyse common types of plant phenotyping data, provide a simplified interface to longitudinal growth modeling and select Bayesian statistics, and streamline use of 'PlantCV' output. Several Bayesian methods and reporting guidelines for Bayesian methods are described in Kruschke (2018) <doi:10.1177/2515245918771304>, Kruschke (2013) <doi:10.1037/a0029146>, and Kruschke (2021) <doi:10.1038/s41562-021-01177-7>.
Author: Josh Sumner [aut, cre] , Jeffrey Berry [aut] , Noah Fahlgren [rev] , Donald Danforth Plant Science Center [cph]
Maintainer: Josh Sumner <jsumner@danforthcenter.org>

Diff between pcvr versions 1.3.1 dated 2025-08-18 and 1.4.1 dated 2026-06-23

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New package msprog with initial version 1.0.0
Package: msprog
Title: Reproducible Assessment of Disability Course in Multiple Sclerosis
Version: 1.0.0
Description: Analyse disability course in multiple sclerosis (MS) from longitudinal data. The package provides a flexible framework for identifying disability events under user-specified criteria, allowing adaptation to different study designs and endpoints. Tools are included to facilitate transparent and reproducible reporting of the settings used in the analysis. For an introduction to the package and illustrative applications, see Montobbio et al. (2024) <doi:10.1177/13524585241243157>.
Encoding: UTF-8
LazyData: true
Imports: stats, dplyr, rlang
Depends: R (>= 4.1.0)
VignetteBuilder: knitr
Suggests: knitr, rmarkdown, xfun, DT
License: MIT + file LICENSE
NeedsCompilation: no
Packaged: 2026-06-18 13:56:40 UTC; nmontobbio
Author: Noemi Montobbio [aut, cre] , Francesca Bovis [rev], Luca Carmisciano [rev]
Maintainer: Noemi Montobbio <noemi.montobbio@gmail.com>
Repository: CRAN
Date/Publication: 2026-06-23 16:00:02 UTC

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Package HDTSA updated to version 1.0.6-1 with previous version 1.0.6 dated 2026-04-03

Title: High Dimensional Time Series Analysis Tools
Description: An implementation for high-dimensional time series analysis methods, including factor model for vector time series proposed by Lam and Yao (2012) <doi:10.1214/12-AOS970> and Chang, Guo and Yao (2015) <doi:10.1016/j.jeconom.2015.03.024>, martingale difference test proposed by Chang, Jiang and Shao (2023) <doi:10.1016/j.jeconom.2022.09.001>, principal component analysis for vector time series proposed by Chang, Guo and Yao (2018) <doi:10.1214/17-AOS1613>, cointegration analysis proposed by Zhang, Robinson and Yao (2019) <doi:10.1080/01621459.2018.1458620>, unit root test proposed by Chang, Cheng and Yao (2022) <doi:10.1093/biomet/asab034>, white noise tests proposed by Chang, Yao and Zhou (2017) <doi:10.1093/biomet/asw066> and Chang et al. (2026+), CP-decomposition for matrix time series proposed by Chang et al. (2023) <doi:10.1093/jrsssb/qkac011> and Chang et al. (2026+) <doi:10.48550/arXiv.2410.05634>, CP-decomposition for tensor ti [...truncated...]
Author: Jinyuan Chang [aut], Jing He [aut], Chen Lin [aut, cre], Qiwei Yao [aut]
Maintainer: Chen Lin <linchen@smail.swufe.edu.cn>

Diff between HDTSA versions 1.0.6 dated 2026-04-03 and 1.0.6-1 dated 2026-06-23

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Package dbSpatial updated to version 0.1.2 with previous version 0.1.1 dated 2026-05-27

Title: Spatial Data Operations for Database-Backed Geometries
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>.
Author: Edward C. Ruiz [aut, cre] , Jiaji George Chen [aut], Ruben Dries [aut, rev]
Maintainer: Edward C. Ruiz <ecr7407@gmail.com>

Diff between dbSpatial versions 0.1.1 dated 2026-05-27 and 0.1.2 dated 2026-06-23

 DESCRIPTION                             |    6 
 GPL-3                                   | 1348 ++++++++++++++++----------------
 LICENSE                                 |    4 
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 NAMESPACE                               |  136 +--
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New package geer with initial version 0.1.0
Package: geer
Title: Bias-Reduced and Penalized Generalized Estimating Equations
Version: 0.1.0
Description: Fits marginal regression models for repeated or clustered responses using generalized estimating equations (GEE). Provides ordinary GEE estimators, bias-reduced and bias-corrected GEE estimators, and Jeffreys-type penalized GEE estimators for binary, count and continuous responses. Methods are described in Touloumis (2026a) <doi:10.48550/arXiv.2606.16043> and Touloumis (2026b) <doi:10.48550/arXiv.2606.16058>.
License: GPL-3
URL: https://github.com/AnestisTouloumis/geer
BugReports: https://github.com/AnestisTouloumis/geer/issues
Depends: R (>= 4.0.0)
Imports: brglm2, generics, Rcpp (>= 1.0.9)
LinkingTo: Rcpp, RcppArmadillo
Suggests: covr, emmeans (>= 2.0.0), estimability, testthat (>= 3.0.0), tibble
Encoding: UTF-8
LazyData: true
NeedsCompilation: yes
Packaged: 2026-06-18 12:42:46 UTC; Anestis
Author: Anestis Touloumis [aut, cre]
Maintainer: Anestis Touloumis <A.Touloumis@brighton.ac.uk>
Repository: CRAN
Date/Publication: 2026-06-23 14:50:02 UTC

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New package BayesFR with initial version 1.0.1
Package: BayesFR
Title: Fitting Functional Responses in 1- and 2-Prey Systems
Version: 1.0.1
Description: Easy application of Bayesian inference for functional responses via 'brms'. This package allows to fit various FR models for single- and multi-prey experiments by providing nonlinear prediction functions for 'brms'. It uses dynamical prediction models to correct for prey depletion. The 'brms' framework facilitates statistical modeling and enables users to conveniently incorporate covariates such as temperature gradients, experimental treatment variables, or random effects that account for grouping in experimental units. Default 'brms' functions make it easy to perform model checking, model comparison and hypothesis testing. Potential statistical issues with data from feeding trials, such as overdispersion, can be resolved by effortlessly switching between likelihood functions. This package, together with its tutorials, should provide students and researchers with a comprehensive and integrated statistical framework for easily testing their hypotheses on trophic interactions. References [...truncated...]
License: GPL (>= 3)
Encoding: UTF-8
URL: https://github.com/benjamin-rosenbaum/BayesFR
BugReports: https://github.com/benjamin-rosenbaum/BayesFR/issues
LazyData: TRUE
Imports: brms, ggplot2, tidyr
Depends: R (>= 3.5)
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-06-18 12:25:07 UTC; br86redu
Author: Benjamin Rosenbaum [aut, cre]
Maintainer: Benjamin Rosenbaum <benjamin.rosenbaum@idiv.de>
Repository: CRAN
Date/Publication: 2026-06-23 14:50:08 UTC

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Package AnalyzeFMRI updated to version 1.1-26 with previous version 1.1-25 dated 2025-07-24

Title: Functions for Analysis of fMRI Datasets Stored in the ANALYZE or 'NIFTI' Format
Description: Functions for I/O, visualisation and analysis of functional Magnetic Resonance Imaging (fMRI) datasets stored in the ANALYZE or 'NIFTI' format. Note that the latest version of 'XQuartz' seems to be necessary under MacOS.
Author: Pierre Lafaye De Micheaux [aut, cre], Jonathan L Marchini [aut], Cleve Moler [cph] , Jack Dongarra [cph] , Richard Hanson [cph] , Sven Hammarling [cph] , Jeremy Du Croz [cph]
Maintainer: Pierre Lafaye De Micheaux <lafaye@unsw.edu.au>

Diff between AnalyzeFMRI versions 1.1-25 dated 2025-07-24 and 1.1-26 dated 2026-06-23

 DESCRIPTION        |    8 ++++----
 MD5                |    6 +++---
 inst/HISTORY       |   12 ++++++++++++
 src/slapack.unused |   46 +++++++++++++++++++++++-----------------------
 4 files changed, 42 insertions(+), 30 deletions(-)

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New package srr with initial version 1.0.0
Package: srr
Title: 'rOpenSci' Software Review 'Roclets'
Version: 1.0.0
Description: Companion package to 'rOpenSci' statistical software review project ('rOpenSci' authors, 2021; <doi:10.5281/zenodo.5556756>), to facilitate documenting software compliance with statistical standards using 'Roxygen2' 'roclets'.
License: MIT + file LICENSE
URL: https://docs.ropensci.org/srr/, https://github.com/ropensci-review-tools/srr
BugReports: https://github.com/ropensci-review-tools/srr/issues
Imports: cli, clipr, fs, gert, here, methods, Rcpp, roxygen2, rprojroot
Suggests: jsonlite, knitr, pkgbuild, rmarkdown, testthat (>= 3.0.0), toml
LinkingTo: Rcpp
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-GB
NeedsCompilation: yes
Packaged: 2026-06-18 09:45:06 UTC; smexus
Author: Mark Padgham [aut, cre]
Maintainer: Mark Padgham <mark@ropensci.org>
Repository: CRAN
Date/Publication: 2026-06-23 14:00:02 UTC

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New package rphylo with initial version 0.1.1
Package: rphylo
Title: Phylogenetic Analysis with Dependent Discrete Models
Version: 0.1.1
Description: Implementation of dependent discrete models (with reversible jump MCMC) derived from 'BayesTraits' V5.0.3 <https://github.com/AndrewPMeade/BayesTraits-Release/tree/Release>. Original software copyright Andrew Meade and contributors, distributed under GPL-3. Modifications for this package by Vivian G. Li <liguo.vivian@gmail.com>. The following articles should be referenced when using this package: Pagel, M., A. Meade and D. Barker (2004) "Bayesian estimation of ancestral character states on phylogenies" <doi:10.1080/10635150490522232>; Pagel, M. (1994) "Detecting correlated evolution on phylogenies: a general method for the comparative analysis of discrete characters" <doi:10.1098/rspb.1994.0006>; Pagel, M. and A. Meade (2006) "Bayesian analysis of correlated evolution of discrete characters by reversible-jump Markov chain Monte Carlo" <doi:10.1086/503444>.
License: GPL-3
Encoding: UTF-8
Imports: ape, phangorn, expm, stats
LazyData: true
Depends: R (>= 3.5)
NeedsCompilation: no
Packaged: 2026-06-18 03:16:46 UTC; v
Author: Vivian G. Li [aut, cre], Andrew Meade [ctb] , Mark Pagel [ctb]
Maintainer: Vivian G. Li <liguo.vivian@gmail.com>
Repository: CRAN
Date/Publication: 2026-06-23 13:30:02 UTC

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New package llmimpute with initial version 0.1.0
Package: llmimpute
Title: Missing Data Imputation via Language Models and Statistics
Version: 0.1.0
Description: Provides missing data imputation through two complementary engines: a large language model engine that communicates with the 'Anthropic' 'Claude' application programming interface for context-aware semantic imputation, and a fully self-contained offline engine implementing nineteen statistical and machine learning algorithms entirely in base R with no additional package dependencies. Offline methods include mean, median, mode, last observation carried forward, next observation carried backward, hot-deck, predictive mean matching, k-nearest neighbours, ordinary least-squares regression, Lasso with coordinate descent, Ridge with closed-form solution, Bayesian Ridge regression with evidence approximation following MacKay (1992), support vector regression with a radial basis function kernel, classification and regression trees, random forests, gradient boosting, iterative random forest imputation, principal component analysis imputation via iterative singular value decomposition, and nucle [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.1.0)
Imports: httr2 (>= 1.0.0), methods, jsonlite (>= 1.8.0), cli (>= 3.6.0),
Suggests: testthat (>= 3.0.0), knitr (>= 1.40), rmarkdown (>= 2.14), withr (>= 2.5.0)
VignetteBuilder: knitr
BugReports: https://cran.r-project.org/submit.html
NeedsCompilation: no
Packaged: 2026-06-18 06:25:03 UTC; acer
Maintainer: Sadikul Islam <sadikul.islamiasri@gmail.com>
Author: Sadikul Islam [aut, cre] , Rajesh Kaushal [aut]
Repository: CRAN
Date/Publication: 2026-06-23 13:40:02 UTC

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New package LatSquare with initial version 0.4.1
Package: LatSquare
Title: Analysis of Latin Square and Semi-Latin Square Designs
Version: 0.4.1
Description: Provides functions for the analysis of Latin Square and Semi-Latin Square (Latin Rectangle) experimental designs, including analysis of variance (ANOVA), least significant difference (LSD) tests, and calculation of summary statistics. The implemented methods follow Munzert (1992, ISBN: 3-489-53410-7).
Depends: R (>= 4.0.0)
Imports: openxlsx
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-06-18 09:18:46 UTC; Heinrich.Holzner
Author: Heinrich Holzner [aut, cre]
Maintainer: Heinrich Holzner <heholzner@gmail.com>
Repository: CRAN
Date/Publication: 2026-06-23 14:00:09 UTC

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New package imdR with initial version 0.1.1
Package: imdR
Title: Download, Process and Visualize IMD Gridded Meteorological Data
Version: 0.1.1
Description: Interface to India Meteorological Department (IMD) gridded daily rainfall (0.25 degree, 1901-present) and temperature (1.0 degree, 1951-present) binary data. Provides functions to download, read, extract by point or boundary, compute climate indices, perform trend analysis, and produce publication-quality maps with Survey of India approved boundaries.
License: MIT + file LICENSE
URL: https://github.com/Subhradip25/imdR
BugReports: https://github.com/Subhradip25/imdR/issues
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.1.0)
Imports: ggplot2, httr2, Kendall, ncdf4, rlang, sf, terra, tidyterra, zoo
LazyData: true
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-06-18 08:44:32 UTC; subhradip
Author: Subhradip Bhattacharjee [aut, cre], Amitava Panja [aut], Ankita Chakraborty [aut], Basavareddy [aut]
Maintainer: Subhradip Bhattacharjee <subhradip25@gmail.com>
Repository: CRAN
Date/Publication: 2026-06-23 13:50:02 UTC

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New package BsplineQuantReg with initial version 0.1.0
Package: BsplineQuantReg
Title: 'Constrained Quantile Regression with Cubic B-Splines'
Version: 0.1.0
Date: 2026-06-01
Description: Quantile regression with cubic B-splines under monotonicity and convexity constraints using the Karlin-Studden SOCP formulation. The method is described in Abbes (2026) <doi:10.5281/zenodo.17427913>. This R implementation is intended for demonstration and prototyping; all B-spline and polynomial functions have been rewritten for consistency. A faster version written in 'Python' is available at <https://github.com/alexandreabbes/Constrained-Quantile-Regression-with-cubic-splines>.
License: GPL-3
URL: https://github.com/alexandreabbes/BsplineQuantReg, https://doi.org/10.5281/zenodo.17427913
BugReports: https://github.com/alexandreabbes/BsplineQuantReg/issues
Depends: R (>= 3.5.0)
Imports: CVXR
Suggests: cobs,quantreg,pracma
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-06-18 08:24:17 UTC; Abbes
Author: Alexandre Abbes [aut, cre]
Maintainer: Alexandre Abbes <alexandre.abbes@proton.me>
Repository: CRAN
Date/Publication: 2026-06-23 13:50:08 UTC

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Package broman updated to version 0.96 with previous version 0.94 dated 2026-06-08

Title: Karl Broman's R Code
Description: Miscellaneous R functions, including functions related to graphics (mostly for base graphics), permutation tests, running mean/median, and general utilities.
Author: Karl W Broman [aut, cre] , Aimee Teo Broman [ctb]
Maintainer: Karl W Broman <broman@wisc.edu>

Diff between broman versions 0.94 dated 2026-06-08 and 0.96 dated 2026-06-23

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 broman-0.96/broman/R/not_in.R               |    2 
 broman-0.96/broman/R/objectsizes.R          |    2 
 broman-0.96/broman/R/rmvn.R                 |   12 +++-
 broman-0.96/broman/R/runningmean.R          |   10 +--
 broman-0.96/broman/R/strwidth2lines.R       |    2 
 broman-0.96/broman/R/strwidth2xlim.R        |    5 +
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 broman-0.96/broman/R/venn_diagram.R         |    4 -
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Permanent link

Package RClickhouse updated to version 0.6.11 with previous version 0.6.10 dated 2025-02-26

Title: 'Yandex Clickhouse' Interface for R with Basic 'dplyr' Support
Description: 'Yandex Clickhouse' (<https://clickhouse.com/>) is a high-performance relational column-store database to enable big data exploration and 'analytics' scaling to petabytes of data. Methods are provided that enable working with 'Yandex Clickhouse' databases via 'DBI' methods and using 'dplyr'/'dbplyr' idioms.
Author: Christian Hotz-Behofsits [aut, cre], Daniel Winkler [aut], Luca Rauchenberger [aut], Peter Knaus [aut], Clemens Danninger [aut], Daria Yudaeva [aut], Simon Stiebellehner [aut], Dan Egnor [aut], Vlad Losev [aut], Keith Ray [aut], Zhanyong Wan [aut], M [...truncated...]
Maintainer: Christian Hotz-Behofsits <christian.hotz-behofsits@wu.ac.at>

Diff between RClickhouse versions 0.6.10 dated 2025-02-26 and 0.6.11 dated 2026-06-23

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More information about RClickhouse at CRAN
Permanent link

Package optedr updated to version 3.0.0 with previous version 2.2.0 dated 2025-02-11

Title: Calculating Optimal and D-Augmented Designs for Single- and Multi-Factor Models
Description: Calculates D-, Ds-, A-, I- and L-optimal designs, weighted combinations of these via a Compound criterion, and KL-optimal designs for model discrimination, for non-linear single- and multi-factor models, via an implementation of the cocktail algorithm (Yu, 2011, <doi:10.1007/s11222-010-9183-2>). Multi-factor models use design variables x1, x2, … with a named-list design space; single-factor models remain backward compatible. Compares designs via their efficiency, augments any design with a controlled efficiency loss, and provides efficient rounding functions to convert approximate designs to exact ones.
Author: Carlos de la Calle-Arroyo [aut, cre] , Jesus Lopez-Fidalgo [aut] , Licesio J. Rodriguez-Aragon [aut]
Maintainer: Carlos de la Calle-Arroyo <carlos.calle.arroyo@gmail.com>

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More information about optedr at CRAN
Permanent link

Package maldipickr updated to version 1.3.3 with previous version 1.3.1 dated 2024-09-12

Title: Dereplicate and Cherry-Pick Mass Spectrometry Spectra
Description: Convenient wrapper functions for the analysis of matrix-assisted laser desorption/ionization-time-of-flight (MALDI-TOF) spectra data in order to select only representative spectra (also called cherry-pick). The package covers the preprocessing and dereplication steps (based on Strejcek, Smrhova, Junkova and Uhlik (2018) <doi:10.3389/fmicb.2018.01294>) needed to cluster MALDI-TOF spectra before the final cherry-picking step. It enables the easy exclusion of spectra and/or clusters to accommodate complex cherry-picking strategies. Alternatively, cherry-picking using taxonomic identification MALDI-TOF data is made easy with functions to import inconsistently formatted reports.
Author: Charlie Pauvert [aut, cre, cph] , David Wylensek [ctb] , Selina Nuechtern [ctb], Thomas Clavel [ctb, fnd, cph]
Maintainer: Charlie Pauvert <cpauvert@ukaachen.de>

Diff between maldipickr versions 1.3.1 dated 2024-09-12 and 1.3.3 dated 2026-06-23

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More information about maldipickr at CRAN
Permanent link

Package FoRecoML updated to version 1.1.0 with previous version 1.0.0 dated 2026-04-21

Title: Forecast Reconciliation with Machine Learning
Description: Nonlinear forecast reconciliation with machine learning in cross-sectional (Spiliotis et al. 2021 <doi:10.1016/j.asoc.2021.107756>), temporal, and cross-temporal (Rombouts et al. 2024 <doi:10.1016/j.ijforecast.2024.05.008>) frameworks.
Author: Daniele Girolimetto [aut, cre] , Yangzhuoran Fin Yang [aut] , Jeroen Rombouts [aut] , Ines Wilms [aut]
Maintainer: Daniele Girolimetto <daniele.girolimetto@unipd.it>

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Package BayesRTMB updated to version 0.2.1 with previous version 0.1.1 dated 2026-06-01

Title: Bayesian Inference Using 'RTMB'
Description: Provides tools for Markov chain Monte Carlo (MCMC) and Maximum A Posteriori (MAP) estimation utilizing the 'RTMB' package. It supports various statistical models including generalized linear mixed models, factor analysis, item response theory, and multidimensional unfolding. The package allows users to easily transition between frequentist and Bayesian paradigms using a unified interface. Automatic differentiation and Laplace approximation follow Kristensen et al. (2016) <doi:10.18637/jss.v070.i05>, and MCMC sampling uses the No-U-Turn Sampler described by Hoffman and Gelman (2014) <https://jmlr.org/papers/v15/hoffman14a.html>.
Author: Hiroshi Shimizu [aut, cre]
Maintainer: Hiroshi Shimizu <simizu706@gmail.com>

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Package aion updated to version 1.7.1 with previous version 1.7.0 dated 2026-02-05

Title: Archaeological Time Series
Description: A toolkit for archaeological time series and time intervals. This package provides a system of classes and methods to represent and work with archaeological time series and time intervals. Dates are represented as "rata die" and can be converted to (virtually) any calendar defined by Reingold and Dershowitz (2018) <doi:10.1017/9781107415058>. This packages offers a simple API that can be used by other specialized packages.
Author: Nicolas Frerebeau [aut, cre] , Joe Roe [aut] , Brice Lebrun [art] , Universite Bordeaux Montaigne [fnd] , CNRS [fnd]
Maintainer: Nicolas Frerebeau <nicolas.frerebeau@u-bordeaux-montaigne.fr>

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Package rasterpic updated to version 0.5.1 with previous version 0.5.0 dated 2026-05-21

Title: Convert Digital Images to Spatially Referenced 'SpatRaster' Objects
Description: Convert digital images to spatially referenced 'SpatRaster' objects, as defined by the 'terra' package, using coordinates from supported spatial input classes. Supported inputs include numeric coordinate vectors and objects from the 'sf', 'terra' and 'stars' packages. The main function is an S3 generic, allowing other packages to extend support to additional spatial classes.
Author: Diego Hernangomez [aut, cre, cph]
Maintainer: Diego Hernangomez <diego.hernangomezherrero@gmail.com>

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Package hyper2 updated to version 3.2-3 with previous version 3.2 dated 2025-11-12

Title: The Hyperdirichlet Distribution, Mark 2
Description: A suite of routines for the hyperdirichlet distribution and reified Bradley-Terry; supersedes the 'hyperdirichlet' package; uses 'disordR' discipline <doi:10.48550/ARXIV.2210.03856>. To cite in publications please use Hankin 2017 <doi:10.32614/rj-2017-061>, and for Generalized Plackett-Luce likelihoods use Hankin 2024 <doi:10.18637/jss.v109.i08>.
Author: Robin K. S. Hankin [aut, cre]
Maintainer: Robin K. S. Hankin <hankin.robin@gmail.com>

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Package gridpattern updated to version 1.4.2 with previous version 1.3.1 dated 2025-01-16

Title: 'grid' Pattern Grobs
Description: Provides 'grid' grobs that fill in a user-defined area with various patterns. Includes enhanced versions of the geometric and image-based patterns originally contained in the 'ggpattern' package as well as original 'pch', 'polygon_tiling', 'regular_polygon', 'rose', 'text', 'wave', and 'weave' patterns plus support for custom user-defined patterns.
Author: Trevor L. Davis [aut, cre] , Mike FC [aut] , ggplot2 authors [ctb]
Maintainer: Trevor L. Davis <trevor.l.davis@gmail.com>

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Package geobr updated to version 2.0.1 with previous version 2.0.0 dated 2026-05-20

Title: Download Official Spatial Data Sets of Brazil
Description: Easy access to official spatial data sets of Brazil. The package offers a wide range of spatial data sets available at various geographic scales and for various years with harmonized attributes, projection and fixed topology. All functions allow for seamless integration sf, DuckDB and Arrow.
Author: Rafael H. M. Pereira [aut, cre] , Rogerio Jeronimo Barbosa [aut], Caio Nogueira Goncalves [ctb], Cecilia do Lago [ctb], Filipe Cavalcanti [ctb], Arthur Bazolli [ctb], Lucas Gelape [ctb], Rafael Lopes [ctb], Vinicius Oike [ctb], Paulo Henrique Fernand [...truncated...]
Maintainer: Rafael H. M. Pereira <rafa.pereira.br@gmail.com>

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Package scR updated to version 0.7.0 with previous version 0.4.0 dated 2024-12-23

Title: Empirical Sample Complexity Bounds
Description: Provides tools for estimating empirical sample complexity bounds for supervised learning tasks. The package supports simulation-based estimates of generalization curves, parametric extrapolation of empirical sample complexity bounds, theoretical bounds based on Vapnik-Chervonenkis dimension, and optional monotone Gaussian process extrapolation for users who install the external 'cmdstanr' workflow. For more details, see Carter and Choi (2024) <doi:10.31219/osf.io/evrcj>.
Author: Perry Carter [aut, cre] , Dahyun Choi [aut]
Maintainer: Perry Carter <pjc504@nyu.edu>

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Package pecanr updated to version 0.3.0 with previous version 0.2.0 dated 2026-04-11

Title: Partial Eta-Squared for Crossed, Nested, and Mixed Linear Mixed Models
Description: Computes partial eta-squared effect sizes for fixed effects in linear mixed models fitted with the 'lme4' package. Supports crossed, nested, and mixed (crossed-and-nested) random effects structures with any number of grouping factors. Mixed designs handle cases where grouping factors are simultaneously crossed with some variables and nested within others (e.g., photos nested within models, but both crossed with participants). Factor predictors are supported directly, and a single factor-level (omnibus) effect size can be obtained for a multi-level factor or multi-df interaction. Random slope variances are translated to the outcome scale using a variance decomposition approach, correctly accounting for predictor scaling and interaction terms. Both general and operative effect sizes are provided, with optional parametric bootstrap confidence intervals. For correlated predictors, per-predictor effect sizes use unique (semipartial) variance by default. Methods are based on Correll, Melling [...truncated...]
Author: Brandon Cohen [aut, cre] , Joshua Correll [aut, ths]
Maintainer: Brandon Cohen <brandon.cohen-1@colorado.edu>

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Package nonabsdid updated to version 0.4.1 with previous version 0.3.2 dated 2026-06-18

Title: Visualize Heterogeneity-Robust Event Studies for Non-Absorbing Treatments
Description: Runs several heterogeneity-robust difference-in-differences (DID) event-study estimators for non-absorbing (i.e., treatment can switch on and off over time, allowing treatment reversal) binary treatments through their respective packages, harmonizes their output onto a common time axis and tidy data structure, and overlays them in a single 'ggplot2' panel for visual comparison. Supported estimators include those provided by 'DIDmultiplegtDYN', 'PanelMatch', and 'fect', with an optional naive two-way fixed-effects reference series via 'fixest'. The underlying methods are respectively described in Clement de Chaisemartin and Xavier D'Haultfoeuille. "Difference-in-Differences Estimators of Intertemporal Treatment Effects." The Review of Economics and Statistics (2026) <doi:10.1162/rest_a_01414>, Kosuke Imai, In Song Kim, and Erik H. Wang. "Matching methods for causal inference with time‐series cross‐sectional data." American Journal of Political Science 67.3 (2023) <doi:10.1111/a [...truncated...]
Author: Takuma Iwasaki [aut, cre]
Maintainer: Takuma Iwasaki <iwasakit@stanford.edu>

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Package nexus updated to version 0.6.1 with previous version 0.6.0 dated 2025-06-02

Title: Sourcing Archaeological Materials by Chemical Composition
Description: Exploration and analysis of compositional data in the framework of Aitchison (1986, ISBN: 978-94-010-8324-9). This package provides tools for chemical fingerprinting and source tracking of ancient materials.
Author: Nicolas Frerebeau [aut, cre] , Anne Philippe [aut] , Brice Lebrun [art] , Universite Bordeaux Montaigne [fnd] , CNRS [fnd]
Maintainer: Nicolas Frerebeau <nicolas.frerebeau@u-bordeaux-montaigne.fr>

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Package FoCo2 updated to version 0.1.4 with previous version 0.1.3 dated 2026-03-13

Title: Coherent Forecast Combination for Linearly Constrained Multiple Time Series
Description: Methods and tools designed to improve the forecast accuracy for a linearly constrained multiple time series, while fulfilling the linear/aggregation relationships linking the components (Girolimetto and Di Fonzo, 2024 <doi:10.48550/arXiv.2412.03429>). 'FoCo2' offers multi-task forecast combination and reconciliation approaches leveraging input from multiple forecasting models or experts and ensuring that the resulting forecasts satisfy specified linear constraints. In addition, linear inequality constraints (e.g., non-negativity of the forecasts) can be imposed, if needed.
Author: Daniele Girolimetto [aut, cre] , Tommaso Di Fonzo [aut]
Maintainer: Daniele Girolimetto <daniele.girolimetto@unipd.it>

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Package bacenR updated to version 0.4.3 with previous version 0.3.1 dated 2026-03-08

Title: Access Data from Brazilian Central Bank: IFdata, Active Institutions, Balance Sheets and Normative Acts
Description: Provides functions to query, retrieve, and tidy economic and financial data from Brazilian Central Bank web services for use in R analyses and workflows. Active institutions information, balance sheets and normative acts.
Author: Ricardo Theodoro [aut, cre]
Maintainer: Ricardo Theodoro <rtheodoro@usp.br>

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Package netrics updated to version 0.3.1 with previous version 0.2.1 dated 2026-04-06

Title: Many Ways to Measure and Classify Membership for Networks, Nodes, and Ties
Description: Many tools for calculating network, node, or tie marks, measures, motifs and memberships of many different types of networks. Marks identify structural positions, measures quantify network properties, memberships classify nodes into groups, and motifs tabulate substructure participation. All functions operate with all classes of network data covered in 'manynet', and on directed, undirected, multiplex, multimodal, signed, and other networks.
Author: James Hollway [cre, aut, ctb]
Maintainer: James Hollway <james.hollway@graduateinstitute.ch>

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Package zCompositions updated to version 1.6.2 with previous version 1.6.1 dated 2026-04-18

Title: Treatment of Zeros, Left-Censored and Missing Values in Compositional Data Sets
Description: Principled methods for the imputation of zeros, left-censored and missing data in compositional data sets (Palarea-Albaladejo and Martin-Fernandez (2015) <doi:10.1016/j.chemolab.2015.02.019>).
Author: Javier Palarea-Albaladejo [cre, aut] , Josep Antoni Martin-Fernandez [aut]
Maintainer: Javier Palarea-Albaladejo <javier.palarea@udg.edu>

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Package vecvec updated to version 1.2.0 with previous version 1.1.0 dated 2026-06-04

Title: Construct Mixed Type Data Structures with Vectors of Vectors
Description: Mixed type vectors are useful for combining semantically similar classes. Some examples of semantically related classes include time across different granularities (e.g. daily, monthly, annual) and probability distributions (e.g. Normal, Uniform, Poisson). These groups of vector types typically share common statistical operations which vary in results with the attributes of each vector. The 'vecvec' data structure facilitates efficient storage and computation across multiple vectors within the same object.
Author: Mitchell O'Hara-Wild [aut, cre]
Maintainer: Mitchell O'Hara-Wild <mail@mitchelloharawild.com>

Diff between vecvec versions 1.1.0 dated 2026-06-04 and 1.2.0 dated 2026-06-23

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Package surveydown updated to version 1.3.0 with previous version 1.0.1 dated 2025-12-19

Title: Markdown-Based Programmable Surveys Using 'Quarto' and 'shiny'
Description: Generate programmable surveys using markdown and R code chunks. Surveys are composed of two files: a survey.qmd 'Quarto' file defining the survey content (pages, questions, etc), and an app.R file defining a 'shiny' app with global settings (libraries, database configuration, etc.) and server configuration options (e.g., conditional skipping / display, etc.). Survey data collected from respondents is stored in a 'PostgreSQL' database. Features include controls for conditional skip logic (skip to a page based on an answer to a question), conditional display logic (display a question based on an answer to a question), a customizable progress bar, and a wide variety of question types, including multiple choice (single choice and multiple choices), select, text, numeric, multiple choice buttons, text area, and dates. Because the surveys render into a 'shiny' app, designers can also leverage the reactive capabilities of 'shiny' to create dynamic and interactive surveys.
Author: John Paul Helveston [aut, cre, cph] , Pingfan Hu [aut, cph] , Bogdan Bunea [aut, cph] , Stefan Munnes [ctb], Reed Benkendorf [ctb] , Umair Durrani [ctb], Dylan Pieper [ctb]
Maintainer: John Paul Helveston <john.helveston@gmail.com>

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Package Stype.est updated to version 0.2.0 with previous version 0.1.0 dated 2025-08-29

Title: S-Type Estimators
Description: Implements the S-type estimators, novel robust estimators for general linear regression models, addressing challenges such as outlier contamination and leverage points. This package introduces robust regression techniques to provide a robust alternative to classical methods and includes diagnostic tools for assessing model fit and performance. The methodology is based on the study, "Comparison of the Robust Methods in the General Linear Regression Model" by Sazak and Mutlu (2023). This package is designed for statisticians and applied researchers seeking advanced tools for robust regression analysis.
Author: Hakan Savas Sazak [aut] , Filiz Karadag [cre] , Olgun Aydin [aut]
Maintainer: Filiz Karadag <filiz.karadag@ege.edu.tr>

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Package selectr updated to version 0.6-0 with previous version 0.5-1 dated 2025-12-17

Title: Translate CSS Selectors to XPath Expressions
Description: Translates a CSS selector into an equivalent XPath expression. This allows us to use CSS selectors when working with the XML package as it can only evaluate XPath expressions. Also provided are convenience functions useful for using CSS selectors on XML nodes. This package is a port of the Python package 'cssselect' (<https://cssselect.readthedocs.io/>).
Author: Simon Potter [aut, trl, cre], Simon Sapin [aut], Ian Bicking [aut]
Maintainer: Simon Potter <simon@sjp.co.nz>

Diff between selectr versions 0.5-1 dated 2025-12-17 and 0.6-0 dated 2026-06-23

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Package rintcal updated to version 1.4.1 with previous version 1.4.0 dated 2026-03-13

Title: Radiocarbon Calibration Curves
Description: The IntCal20 radiocarbon calibration curves (Reimer et al. 2020 <doi:10.1017/RDC.2020.68>) are provided as a data package, together with previous IntCal curves (IntCal13, IntCal09, IntCal04, IntCal98), other curves (e.g., NOTCal04 [van der Plicht et al. 2004], Arnold & Libby 1951, Stuiver & Suess 1966, Pearson & Stuiver 1986) and postbomb curves. Also provided are functions to copy the curves into memory, and to read, query and plot the data underlying the IntCal20 curves.
Author: Maarten Blaauw [aut, cre] , Christopher Bronk Ramsey [ctb]
Maintainer: Maarten Blaauw <maarten.blaauw@qub.ac.uk>

Diff between rintcal versions 1.4.0 dated 2026-03-13 and 1.4.1 dated 2026-06-23

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Package prospectr updated to version 0.2.10 with previous version 0.2.9 dated 2026-05-31

Title: Miscellaneous Functions for Processing and Sample Selection of Spectroscopic Data
Description: Functions to preprocess spectroscopic data and conduct (representative) sample selection/calibration sampling.
Author: Antoine Stevens [aut] , Leonardo Ramirez-Lopez [aut, cre]
Maintainer: Leonardo Ramirez-Lopez <ramirez.lopez.leo@gmail.com>

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Package httr2 updated to version 1.2.3 with previous version 1.2.2 dated 2025-12-08

Title: Perform HTTP Requests and Process the Responses
Description: Tools for creating and modifying HTTP requests, then performing them and processing the results. 'httr2' is a modern re-imagining of 'httr' that uses a pipe-based interface and solves more of the problems that API wrapping packages face.
Author: Hadley Wickham [aut, cre], Posit Software, PBC [cph, fnd], Maximilian Girlich [ctb]
Maintainer: Hadley Wickham <hadley@posit.co>

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Package dPCP updated to version 2.0.3 with previous version 2.0.1 dated 2023-08-12

Title: Automated Analysis of Multiplex Digital PCR Data
Description: The automated clustering and quantification of the digital PCR data is based on the combination of 'DBSCAN' (Hahsler et al. (2019) <doi:10.18637/jss.v091.i01>) and 'c-means' (Bezdek et al. (1981) <doi:10.1007/978-1-4757-0450-1>) algorithms. The analysis is independent of multiplexing geometry, dPCR system, and input amount. The details about input data and parameters are available in the vignette.
Author: Alfonso De Falco [aut, cre] , Michel Mittelbronn [ctb], Christophe Olinger [ctb], Daniel Stieber [ctb], Laboratoire national de sante [cph]
Maintainer: Alfonso De Falco <alfonsodefalco90@gmail.com>

Diff between dPCP versions 2.0.1 dated 2023-08-12 and 2.0.3 dated 2026-06-23

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Package aplot updated to version 0.3.0 with previous version 0.2.9 dated 2025-09-12

Title: Decorate a 'ggplot' with Associated Information
Description: For many times, we are not just aligning plots as what 'cowplot' and 'patchwork' did. Users would like to align associated information that requires axes to be exactly matched in subplots, e.g. hierarchical clustering with a heatmap. Inspired by the 'Method 2' in 'ggtree' (G Yu (2018) <doi:10.1093/molbev/msy194>), 'aplot' provides utilities to aligns associated subplots to a main plot at different sides (left, right, top and bottom) with axes exactly matched.
Author: Guangchuang Yu [aut, cre] , Shuangbin Xu [ctb] , Thomas Hackl [ctb]
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>

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Package remap updated to version 0.3.3 with previous version 0.3.2 dated 2025-01-09

Title: Regional Spatial Modeling with Continuous Borders
Description: Automatically creates separate regression models for different spatial regions. The prediction surface is smoothed using a regional border smoothing method. If regional models are continuous, the resulting prediction surface is continuous across the spatial dimensions, even at region borders. Methodology is described in Wagstaff and Bean (2023) <doi:10.32614/RJ-2023-004>.
Author: Jadon Wagstaff [aut, cre], Brennan Bean [aut]
Maintainer: Jadon Wagstaff <jadonw@gmail.com>

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