Fri, 20 Mar 2026

Package spatialreg updated to version 1.4-3 with previous version 1.4-2 dated 2025-09-06

Title: Spatial Regression Analysis
Description: A collection of all the estimation functions for spatial cross-sectional models (on lattice/areal data using spatial weights matrices) contained up to now in 'spdep'. These model fitting functions include maximum likelihood methods for cross-sectional models proposed by 'Cliff' and 'Ord' (1973, ISBN:0850860369) and (1981, ISBN:0850860814), fitting methods initially described by 'Ord' (1975) <doi:10.1080/01621459.1975.10480272>. The models are further described by 'Anselin' (1988) <doi:10.1007/978-94-015-7799-1>. Spatial two stage least squares and spatial general method of moment models initially proposed by 'Kelejian' and 'Prucha' (1998) <doi:10.1023/A:1007707430416> and (1999) <doi:10.1111/1468-2354.00027> are provided. Impact methods and MCMC fitting methods proposed by 'LeSage' and 'Pace' (2009) <doi:10.1201/9781420064254> are implemented for the family of cross-sectional spatial regression models. Methods for fitting the log determinant term in maximu [...truncated...]
Author: Roger Bivand [cre, aut] , Gianfranco Piras [aut], Luc Anselin [ctb] , Andrew Bernat [ctb], Eric Blankmeyer [ctb], Yongwan Chun [ctb] , Virgilio Gomez-Rubio [ctb] , Daniel Griffith [ctb] , Martin Gubri [ctb] , Rein Halbersma [ctb], James LeSage [ctb], [...truncated...]
Maintainer: Roger Bivand <Roger.Bivand@nhh.no>

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Package adespatial updated to version 0.3-29 with previous version 0.3-28 dated 2025-04-16

Title: Multivariate Multiscale Spatial Analysis
Description: Tools for the multiscale spatial analysis of multivariate data. Several methods are based on the use of a spatial weighting matrix and its eigenvector decomposition (Moran's Eigenvectors Maps, MEM). Several approaches are described in the review Dray et al (2012) <doi:10.1890/11-1183.1>.
Author: Stephane Dray [aut] , David Bauman [ctb], Guillaume Blanchet [ctb], Daniel Borcard [ctb], Sylvie Clappe [ctb], Guillaume Guenard [ctb] , Thibaut Jombart [ctb], Guillaume Larocque [ctb], Pierre Legendre [ctb] , Naima Madi [ctb], Helene H Wagner [ctb], [...truncated...]
Maintainer: Aurelie Siberchicot <aurelie.siberchicot@univ-lyon1.fr>

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Package ade4 updated to version 1.7-24 with previous version 1.7-23 dated 2025-02-14

Title: Analysis of Ecological Data: Exploratory and Euclidean Methods in Environmental Sciences
Description: Tools for multivariate data analysis. Several methods are provided for the analysis (i.e., ordination) of one-table (e.g., principal component analysis, correspondence analysis), two-table (e.g., coinertia analysis, redundancy analysis), three-table (e.g., RLQ analysis) and K-table (e.g., STATIS, multiple coinertia analysis). The philosophy of the package is described in Dray and Dufour (2007) <doi:10.18637/jss.v022.i04>.
Author: Stephane Dray [aut] , Anne-Beatrice Dufour [aut] , Jean Thioulouse [aut] , Daniel Chessel [ant], Thibaut Jombart [ctb], Sandrine Pavoine [ctb], Jean R. Lobry [ctb], Sebastien Ollier [ctb], Daniel Borcard [ctb], Pierre Legendre [ctb], Stephanie Bougea [...truncated...]
Maintainer: Aurelie Siberchicot <aurelie.siberchicot@univ-lyon1.fr>

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Package matrixCorr updated to version 0.8.5 with previous version 0.8.4 dated 2026-03-03

Title: Collection of Correlation and Association Estimators
Description: Compute correlation and other association matrices from small to high-dimensional datasets with relative simple functions and sensible defaults. Includes options for shrinkage and robustness to improve results in noisy or high-dimensional settings (p >= n), plus convenient print/plot methods for inspection. Implemented with optimised C++ backends using BLAS/OpenMP and memory-aware symmetric updates. Works with base matrices and data frames, returning standard R objects via a consistent S3 interface. Useful across genomics, agriculture, and machine-learning workflows. Supports Pearson, Spearman, Kendall, distance correlation, partial correlation, and robust biweight mid-correlation; Bland–Altman analyses and Lin's concordance correlation coefficient (including repeated-measures extensions). Methods based on Ledoit and Wolf (2004) <doi:10.1016/S0047-259X(03)00096-4>; Schäfer and Strimmer (2005) <doi:10.2202/1544-6115.1175>; Lin (1989) <doi:10.2307/2532051>.
Author: Thiago de Paula Oliveira [aut, cre]
Maintainer: Thiago de Paula Oliveira <thiago.paula.oliveira@gmail.com>

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Package salmonMSE updated to version 1.0.0 with previous version 0.1.0 dated 2025-09-23

Title: Management Strategy Evaluation for Salmon Species
Description: Simulation tools to evaluate the long-term effects of salmon management strategies, including a combination of habitat, harvest, and habitat actions. The stochastic age-structured operating model accommodates complex life histories, including freshwater survival across early life stages, juvenile survival and fishery exploitation in the marine life stage, partial maturity by age class, and fitness impacts of hatchery programs on natural spawning populations. 'salmonMSE' also provides an age-structured conditioning model to develop operating models fitted to data.
Author: Quang Huynh [aut, cre]
Maintainer: Quang Huynh <quang@bluematterscience.com>

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Package multiSA updated to version 0.1.1 with previous version 0.1.0 dated 2026-02-03

Title: Multi-Stock Assessment
Description: Implementation of a next-generation, multi-stock age-structured fisheries assessment model. 'multiSA' is intended for use in mixed fisheries where stock composition can not be readily identified in fishery data alone, e.g., from catch and age/length composition. Models can be fitted to genetic data, e.g., stock composition of catches and close-kin pairs, with seasonal stock availability and movement.
Author: Quang Huynh [aut, cre]
Maintainer: Quang Huynh <quang@bluematterscience.com>

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Package pks updated to version 0.7-0 with previous version 0.6-1 dated 2024-09-16

Title: Probabilistic Knowledge Structures
Description: Fitting and testing probabilistic knowledge structures, especially the basic local independence model (BLIM, Doignon & Flamagne, 1999) and the simple learning model (SLM), using the minimum discrepancy maximum likelihood (MDML) method (Heller & Wickelmaier, 2013 <doi:10.1016/j.endm.2013.05.145>).
Author: Florian Wickelmaier [aut, cre], Juergen Heller [aut], Julian Mollenhauer [aut], Pasquale Anselmi [ctb], Debora de Chiusole [ctb], Andrea Brancaccio [ctb], Luca Stefanutti [ctb], Paul Doerrbecker [ctb]
Maintainer: Florian Wickelmaier <wickelmaier@web.de>

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Package dipsaus updated to version 0.3.4 with previous version 0.3.3 dated 2026-01-09

Title: A Dipping Sauce for Data Analysis and Visualizations
Description: Works as an "add-on" to packages like 'shiny', 'future', as well as 'rlang', and provides utility functions. Just like dipping sauce adding flavors to potato chips or pita bread, 'dipsaus' for data analysis and visualizations adds handy functions and enhancements to popular packages. The goal is to provide simple solutions that are frequently asked for online, such as how to synchronize 'shiny' inputs without freezing the app, or how to get memory size on 'Linux' or 'MacOS' system. The enhancements roughly fall into these four categories: 1. 'shiny' input widgets; 2. high-performance computing using the 'future' package; 3. modify R calls and convert among numbers, strings, and other objects. 4. utility functions to get system information such like CPU chip-set, memory limit, etc.
Author: Zhengjia Wang [aut, cre], John Magnotti [ctb] , Xiang Zhang [ctb]
Maintainer: Zhengjia Wang <dipterix.wang@gmail.com>

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Package summata updated to version 0.11.4 with previous version 0.11.3 dated 2026-03-08

Title: Publication-Ready Summary Tables and Forest Plots
Description: A comprehensive framework for descriptive statistics and regression analysis that produces publication-ready tables and forest plots. Provides a unified interface from descriptive statistics through multivariable modeling, with support for linear models, generalized linear models, Cox proportional hazards, and mixed-effects models. Also includes univariable screening, multivariate regression, model comparison, and export to multiple formats including PDF, DOCX, PPTX, 'LaTeX', HTML, and RTF. Built on 'data.table' for computational efficiency.
Author: Paul Hsin-ti McClelland [aut, cre, cph]
Maintainer: Paul Hsin-ti McClelland <PaulHMcClelland@protonmail.com>

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Package docorator updated to version 0.6.0 with previous version 0.5.2 dated 2026-01-23

Title: Docorate (Decorate + Output) Displays
Description: A framework for creating production outputs. Users can frame a table, listing, or figure with headers and footers and save to an output file. Stores an intermediate 'docorator' object for reproducibility and rendering to multiple output types.
Author: Becca Krouse [aut, cre], Shannon Haughton [aut], Seongbin Hong [aut], Dragoș Moldovan-Gruenfeld [aut], GlaxoSmithKline Research & Development Limited [cph, fnd]
Maintainer: Becca Krouse <becca.z.krouse@gsk.com>

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Package xfun updated to version 0.57 with previous version 0.56 dated 2026-01-18

Title: Supporting Functions for Packages Maintained by 'Yihui Xie'
Description: Miscellaneous functions commonly used in other packages maintained by 'Yihui Xie'.
Author: Yihui Xie [aut, cre, cph] , Wush Wu [ctb], Daijiang Li [ctb], Xianying Tan [ctb], Salim Brueggemann [ctb] , Christophe Dervieux [ctb]
Maintainer: Yihui Xie <xie@yihui.name>

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Package TmCalculator updated to version 1.0.4 with previous version 1.0.3 dated 2022-02-20

Title: A Calculator for Melting Temperature of Nucleic Acid Sequences
Description: A comprehensive R package for calculating melting temperatures of nucleic acid sequences. Implements three calculation methods: 1. Wallace rule (Thein & Wallace, 1986) 2. Empirical formulas based on GC content (Marmur, 1962; Schildkraut, 2010; Wetmur, 1991; Untergasser, 2012; von Ahsen, 2001) 3. Nearest neighbor thermodynamics (Breslauer, 1986; Sugimoto, 1996; Allawi, 1998; SantaLucia, 2004; Freier, 1986; Xia, 1998; Chen, 2012; Bommarito, 2000; Turner, 2010; Sugimoto, 1995; Allawi, 1997; Santalucia, 2005) Includes corrections for: - Salt ions (SantaLucia, 1996, 1998; Owczarzy, 2004, 2008) - Chemical compounds (dimethyl sulfoxide, formamide) Supports both direct sequence input and FASTA file input.
Author: Junhui Li [cre, aut]
Maintainer: Junhui Li <ljh.biostat@gmail.com>

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Package RTMB updated to version 1.9 with previous version 1.8 dated 2025-10-14

Title: 'R' Bindings for 'TMB'
Description: Native 'R' interface to 'TMB' (Template Model Builder) so models can be written entirely in 'R' rather than 'C++'. Automatic differentiation, to any order, is available for a rich subset of 'R' features, including linear algebra for dense and sparse matrices, complex arithmetic, Fast Fourier Transform, probability distributions and special functions. 'RTMB' provides easy access to model fitting and validation following the principles of Kristensen, K., Nielsen, A., Berg, C. W., Skaug, H., & Bell, B. M. (2016) <DOI:10.18637/jss.v070.i05> and Thygesen, U.H., Albertsen, C.M., Berg, C.W. et al. (2017) <DOI:10.1007/s10651-017-0372-4>.
Author: Kasper Kristensen [aut, cre]
Maintainer: Kasper Kristensen <kaskr@dtu.dk>

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Package reportRmd updated to version 0.1.3 with previous version 0.1.1 dated 2025-01-24

Title: Tidy Presentation of Clinical Reporting
Description: Streamlined statistical reporting in 'Rmarkdown' environments. Facilitates the automated reporting of descriptive statistics, multiple univariate models, multivariable models and tables combining these outputs. Plotting functions include customisable survival curves, forest plots from logistic and ordinal regression and bivariate comparison plots.
Author: Lisa Avery [cre, aut] , Ryan Del Bel [aut], Osvaldo Espin-Garcia [aut], Katherine Lajkosz [aut] , Clarina Ong [aut], Tyler Pittman [aut] , Anna Santiago [aut] , Yanning Wang [ctr], Jessica Weiss [aut], Wei Xu [aut]
Maintainer: Lisa Avery <lisa.avery@uhn.ca>

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Package couplr updated to version 1.2.1 with previous version 1.2.0 dated 2026-03-20

Title: Optimal Pairing and Matching via Linear Assignment
Description: Solves optimal pairing and matching problems using linear assignment algorithms. Provides implementations of the Hungarian method (Kuhn 1955) <doi:10.1002/nav.3800020109>, Jonker-Volgenant shortest path algorithm (Jonker and Volgenant 1987) <doi:10.1007/BF02278710>, Auction algorithm (Bertsekas 1988) <doi:10.1007/BF02186476>, cost-scaling (Goldberg and Kennedy 1995) <doi:10.1007/BF01585996>, scaling algorithms (Gabow and Tarjan 1989) <doi:10.1137/0218069>, push-relabel (Goldberg and Tarjan 1988) <doi:10.1145/48014.61051>, and Sinkhorn entropy-regularized transport (Cuturi 2013) <doi:10.48550/arxiv.1306.0895>. Designed for matching plots, sites, samples, or any pairwise optimization problem. Supports rectangular matrices, forbidden assignments, data frame inputs, batch solving, k-best solutions, and pixel-level image morphing for visualization. Includes automatic preprocessing with variable health checks, multiple scaling methods (standardized, [...truncated...]
Author: Gilles Colling [aut, cre, cph]
Maintainer: Gilles Colling <gilles.colling051@gmail.com>

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Package biometrics updated to version 1.0.4 with previous version 1.0.3 dated 2026-03-03

Title: A Package for Biometrics and Modelling
Description: A system of functions and datasets to carry out quantitative analyses in the biological sciences. The package facilitates data management, exploratory analyses, and model assessment. Although it currently focuses on forest ecology, silviculture and decision-making, most of the package functions are applicable across several disciplines, including economics, environmental science, and healthcare.
Author: Christian Salas-Eljatib [aut, cre] , Nicolas Campos [ctb] , Marcos Marivil [ctb]
Maintainer: Christian Salas-Eljatib <cseljatib@gmail.com>

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Package rgbif updated to version 3.8.5 with previous version 3.8.4 dated 2025-11-13

Title: Interface to the Global Biodiversity Information Facility API
Description: A programmatic interface to the Web Service methods provided by the Global Biodiversity Information Facility (GBIF; <https://www.gbif.org/developer/summary>). GBIF is a database of species occurrence records from sources all over the globe. rgbif includes functions for searching for taxonomic names, retrieving information on data providers, getting species occurrence records, getting counts of occurrence records, and using the GBIF tile map service to make rasters summarizing huge amounts of data.
Author: Scott Chamberlain [aut] , Damiano Oldoni [aut] , Vijay Barve [ctb] , Peter Desmet [ctb] , Laurens Geffert [ctb], Dan Mcglinn [ctb] , Karthik Ram [ctb] , rOpenSci [fnd] , John Waller [aut, cre]
Maintainer: John Waller <jwaller@gbif.org>

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Package arcgeocoder updated to version 0.4.0 with previous version 0.3.0 dated 2026-01-15

Title: Geocoding with the 'ArcGIS' REST API Service
Description: Lite interface for finding locations of addresses or businesses around the world using the 'ArcGIS' REST API service <https://developers.arcgis.com/rest/geocode/api-reference/overview-world-geocoding-service.htm>. Address text can be converted to location candidates and a location can be converted into an address. No API key required.
Author: Diego Hernangomez [aut, cre, cph]
Maintainer: Diego Hernangomez <diego.hernangomezherrero@gmail.com>

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Package tmbstan updated to version 1.1.0 with previous version 1.0.91 dated 2023-08-26

Title: MCMC Sampling from 'TMB' Model Object using 'Stan'
Description: Enables all 'rstan' functionality for a 'TMB' model object, in particular MCMC sampling and chain visualization. Sampling can be performed with or without Laplace approximation for the random effects. This is demonstrated in Monnahan & Kristensen (2018) <DOI:10.1371/journal.pone.0197954>.
Author: Kasper Kristensen [aut, cre]
Maintainer: Kasper Kristensen <kaskr@dtu.dk>

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Package survPen updated to version 2.0.3 with previous version 2.0.2 dated 2025-03-08

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>

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Package wbids updated to version 1.1.5 with previous version 1.1.4 dated 2026-03-10

Title: Seamless Access to World Bank International Debt Statistics (IDS)
Description: Access and analyze the World Bank's International Debt Statistics (IDS) <https://www.worldbank.org/en/programs/debt-statistics/ids>. IDS provides creditor-debtor relationships between countries, regions, and institutions. 'wbids' enables users to download, process and work with IDS series across multiple geographies, counterparts, and time periods.
Author: Teal Emery [aut, cre], Teal Insights [cph], Christoph Scheuch [aut] , Christopher Smith [ctb]
Maintainer: Teal Emery <lte@tealinsights.com>

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Package inshiny updated to version 0.1.3 with previous version 0.1.2 dated 2026-02-14

Title: Compact Inline Widgets for 'shiny' Apps
Description: Provides a basic set of compact widgets for 'shiny' apps which occupy less space and can appear inline with surrounding text.
Author: Nick Davies [aut, cre]
Maintainer: Nick Davies <nicholas.davies@lshtm.ac.uk>

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Package infocausality updated to version 1.1 with previous version 1.0 dated 2025-11-03

Title: Information-Theoretic Measure of Causality
Description: Methods for quantifying temporal and spatial causality through information flow, and decomposing it into unique, redundant, and synergistic components, following the framework described in Martinez-Sanchez et al. (2024) <doi:10.1038/s41467-024-53373-4>.
Author: Wenbo Lyu [aut, cre, cph]
Maintainer: Wenbo Lyu <lyu.geosocial@gmail.com>

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Package diseasystore updated to version 0.3.3 with previous version 0.3.2 dated 2025-10-17

Title: Feature Stores for the 'diseasy' Framework
Description: Simple feature stores and tools for creating personalised feature stores. 'diseasystore' powers feature stores which can automatically link and aggregate features to a given stratification level. These feature stores are automatically time-versioned (powered by the 'SCDB' package) and allows you to easily and dynamically compute features as part of your continuous integration.
Author: Rasmus Skytte Randloev [aut, cre] , Kaare Graesboell [rev] , Kasper Schou Telkamp [rev] , Lasse Engbo Christiansen [rev] , Marcus Munch Gruenewald [rev] , Sofia Myrup Otero [rev], Statens Serum Institut, SSI [cph, fnd]
Maintainer: Rasmus Skytte Randloev <rske@ssi.dk>

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Package caugi updated to version 1.1.0 with previous version 1.0.0 dated 2026-01-22

Title: Causal Graph Interface
Description: Create, query, and modify causal graphs. 'caugi' (Causal Graph Interface) is a causality-first, high performance graph package that provides a simple interface to build, structure, and examine causal relationships.
Author: Frederik Fabricius-Bjerre [aut, cre, cph], Johan Larsson [aut] , Michael Sachs [aut] , Bjarke Hautop Kristensen [aut]
Maintainer: Frederik Fabricius-Bjerre <frederik@fabriciusbjerre.dk>

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Package bulkreadr updated to version 1.2.2 with previous version 1.2.1 dated 2025-07-28

Title: The Ultimate Tool for Reading Data in Bulk
Description: Designed to simplify and streamline the process of reading and processing large volumes of data in R, this package offers a collection of functions tailored for bulk data operations. It enables users to efficiently read multiple sheets from Microsoft Excel and Google Sheets workbooks, as well as various CSV files from a directory. The data is returned as organized data frames, facilitating further analysis and manipulation. Ideal for handling extensive data sets or batch processing tasks, bulkreadr empowers users to manage data in bulk effortlessly, saving time and effort in data preparation workflows. Additionally, the package seamlessly works with labelled data from SPSS and Stata.
Author: Ezekiel Ogundepo [aut, cre] , Ernest Fokoue [ctb] , Golibe Ezeechesi [ctb], Fatimo Adebanjo [ctb], Isaac Ajao [ctb]
Maintainer: Ezekiel Ogundepo <gbganalyst@gmail.com>

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Package vacalibration updated to version 2.2 with previous version 2.0 dated 2025-07-24

Title: Calibration of Computer-Coded Verbal Autopsy Algorithm
Description: Calibrates population-level cause-specific mortality fractions (CSMFs) that are derived using computer-coded verbal autopsy (CCVA) algorithms. Leveraging the data collected in the Child Health and Mortality Prevention Surveillance (CHAMPS;<https://champshealth.org/>) project, the package stores misclassification matrix estimates of three CCVA algorithms (EAVA, InSilicoVA, and InterVA) and two age groups (neonates aged 0-27 days, and children aged 1-59 months) across countries (specific estimates for Bangladesh, Ethiopia, Kenya, Mali, Mozambique, Sierra Leone, and South Africa, and a combined estimate for all other countries), enabling global calibration. These estimates are obtained using the framework proposed in Pramanik et al. (2025;<doi:10.1214/24-AOAS2006>) and are analyzed in Pramanik et al. (2026;<doi:10.1136/bmjgh-2025-021747>). Given VA-only data for an age group, CCVA algorithm, and country, the package utilizes the corresponding misclassification matrix est [...truncated...]
Author: Sandipan Pramanik [aut, cre] , Emily Wilson [aut], Jacob Fiksel [aut], Brian Gilbert [aut], Abhirup Datta [aut]
Maintainer: Sandipan Pramanik <sandy.pramanik@gmail.com>

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More information about vacalibration at CRAN
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Package processmapR readmission to version 0.5.8 with previous version 0.5.7 dated 2025-07-09

Title: Construct Process Maps Using Event Data
Description: Visualize event logs using directed graphs, i.e. process maps. Part of the 'bupaR' framework.
Author: Gert Janssenswillen [aut], Gerard van Hulzen [ctb], Benoît Depaire [cre], Felix Mannhardt [ctb], Thijs Beuving [ctb], urvikalia [ctb], Hasselt University [cph]
Maintainer: Benoît Depaire <benoit.depaire@uhasselt.be>

This is a re-admission after prior archival of version 0.5.7 dated 2025-07-09

Diff between processmapR versions 0.5.7 dated 2025-07-09 and 0.5.8 dated 2026-03-20

 DESCRIPTION                       |   26 ++++++++--------
 MD5                               |   21 ++++++-------
 NAMESPACE                         |    1 
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More information about processmapR at CRAN
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New package nTARP with initial version 0.1.0
Package: nTARP
Title: Cluster Analysis Using Thresholding After Random Projections (n-TARP)
Version: 0.1.0
Description: Implements the high-dimensional clustering technique Thresholding After Random Projections (n-TARP). Provides functionality to iteratively decompose larger datasets using contextual variables or within-cluster sum of squares. See Tarun & Boutin (2018) <doi:10.48550/arXiv.1806.05297> and Tarun & Boutin (2018) <doi:10.4231/R74B2ZJV> for the original method and applications.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: stats
Suggests: knitr, rmarkdown, HDclassif
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-03-17 15:50:24 UTC; reepi
Author: David Reeping [aut, cre], Yunmeng Han [aut], Nahal Rashedi [rev]
Maintainer: David Reeping <reepindp@ucmail.uc.edu>
Repository: CRAN
Date/Publication: 2026-03-20 12:40:02 UTC

More information about nTARP at CRAN
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Package NCA updated to version 5.0.0 with previous version 4.0.5 dated 2025-12-21

Title: Necessary Condition Analysis
Description: Performs a Necessary Condition Analysis (NCA). (Dul, J. 2016. Necessary Condition Analysis (NCA). ''Logic and Methodology of 'Necessary but not Sufficient' causality." Organizational Research Methods 19(1), 10-52) <doi:10.1177/1094428115584005>. NCA identifies necessary (but not sufficient) conditions in datasets, where x causes (e.g. precedes) y. Instead of drawing a regression line ''through the middle of the data'' in an xy-plot, NCA draws the ceiling line. The ceiling line y = f(x) separates the area with observations from the area without observations. (Nearly) all observations are below the ceiling line: y <= f(x). The empty zone is in the upper left hand corner of the xy-plot (with the convention that the x-axis is ''horizontal'' and the y-axis is ''vertical'' and that values increase ''upwards'' and ''to the right''). The ceiling line is a (piecewise) linear non-decreasing line: a linear step function or a straight line. It indicates which level of x (e.g., an effort, [...truncated...]
Author: Jan Dul [aut], Govert Buijs [cre]
Maintainer: Govert Buijs <buijs@rsm.nl>

Diff between NCA versions 4.0.5 dated 2025-12-21 and 5.0.0 dated 2026-03-20

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 NCA-5.0.0/NCA/NEWS.md                         |   28 +
 NCA-5.0.0/NCA/R/nca.R                         |   45 +--
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 NCA-5.0.0/NCA/R/nca_tests.R                   |   32 --
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 NCA-5.0.0/NCA/R/p_nca_ce_vrs.R                |   78 +++--
 NCA-5.0.0/NCA/R/p_nca_cols.R                  |   82 +++--
 NCA-5.0.0/NCA/R/p_nca_cr_fdh.R                |  100 ++++--
 NCA-5.0.0/NCA/R/p_nca_cr_vrs.R                |   84 +++--
 NCA-5.0.0/NCA/R/p_nca_custom.R                |only
 NCA-5.0.0/NCA/R/p_nca_ols.R                   |   50 ++-
 NCA-5.0.0/NCA/R/p_nca_qr.R                    |   78 +++--
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 NCA-5.0.0/NCA/R/p_utils.R                     |  133 +++++----
 NCA-5.0.0/NCA/R/p_validate.R                  |  169 +++++++----
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 NCA-5.0.0/NCA/man/NCA-package.Rd              |   27 -
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 70 files changed, 1910 insertions(+), 1380 deletions(-)

More information about NCA at CRAN
Permanent link

New package lakefetch with initial version 0.1.3
Package: lakefetch
Title: Calculate Fetch and Wave Exposure for Lake Sampling Points
Version: 0.1.3
Description: Calculates fetch (open water distance) and wave exposure metrics for lake sampling points. Downloads lake boundaries from 'OpenStreetMap', calculates directional fetch using a ray-casting approach, and optionally integrates National Hydrography Dataset ('NHD') data <https://www.usgs.gov/national-hydrography> for hydrological context including outlet and inlet locations. Can estimate lake depth from surface area using empirical relationships, and integrate historical weather data for cumulative wave energy calculations. Includes an optional interactive 'shiny' application for visualization.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
LazyData: true
Depends: R (>= 4.1.0)
Imports: sf (>= 1.0-0), osmdata (>= 0.2.0), ggplot2 (>= 3.0.0)
Suggests: nhdplusTools, jsonlite, shiny, leaflet, base64enc, parallel, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://github.com/jeremylfarrell/lakefetch
BugReports: https://github.com/jeremylfarrell/lakefetch/issues
NeedsCompilation: no
Packaged: 2026-03-17 14:48:10 UTC; FARREJ2
Author: Jeremy Lynch Farrell [aut, cre]
Maintainer: Jeremy Lynch Farrell <farrej2@rpi.edu>
Repository: CRAN
Date/Publication: 2026-03-20 12:30:02 UTC

More information about lakefetch at CRAN
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Package Epi updated to version 2.63 with previous version 2.61 dated 2025-10-07

Title: Statistical Analysis in Epidemiology
Description: Functions for demographic and epidemiological analysis in the Lexis diagram, i.e. register and cohort follow-up data. In particular representation, manipulation, rate estimation and simulation for multistate data - the Lexis suite of functions, which includes interfaces to 'mstate', 'etm' and 'cmprsk' packages. Contains functions for Age-Period-Cohort and Lee-Carter modeling and a function for interval censored data. Has functions for extracting and manipulating parameter estimates and predicted values (ci.lin and its cousins), as well as a number of epidemiological data sets.
Author: Bendix Carstensen [aut, cre], Martyn Plummer [aut], Esa Laara [ctb], Michael Hills [ctb]
Maintainer: Bendix Carstensen <b@bxc.dk>

Diff between Epi versions 2.61 dated 2025-10-07 and 2.63 dated 2026-03-20

 CHANGES                           |   23 
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New package BORG with initial version 0.2.5
Package: BORG
Title: Bounded Outcome Risk Guard for Model Evaluation
Version: 0.2.5
Description: Automatically detects and enforces valid model evaluation by identifying information reuse between training and evaluation data. Guards against data leakage, look-ahead bias, and invalid cross-validation schemes that inflate performance estimates. Supports temporal, spatial, and grouped evaluation structures. Based on evaluation principles described in Roberts et al. (2017) <doi:10.1111/ecog.02881>, Kaufman et al. (2012) <doi:10.1145/2382577.2382579>, and Kapoor & Narayanan (2023) <doi:10.1016/j.patter.2023.100804>.
License: MIT + file LICENSE
Language: en-US
Encoding: UTF-8
LinkingTo: Rcpp
Imports: Rcpp, methods, stats, utils
Suggests: caret, rsample, tidyselect, recipes, mlr3, sf, ranger, parsnip, workflows, xgboost, lightgbm, testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/gcol33/BORG, https://gillescolling.com/BORG/
BugReports: https://github.com/gcol33/BORG/issues
Depends: R (>= 3.5)
NeedsCompilation: yes
Packaged: 2026-03-17 12:44:37 UTC; Gilles Colling
Author: Gilles Colling [aut, cre, cph]
Maintainer: Gilles Colling <gilles.colling051@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-20 12:30:09 UTC

More information about BORG at CRAN
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Package aftables updated to version 2.0.0 with previous version 1.0.1 dated 2025-02-19

Title: Create Spreadsheet Publications Following Best Practice
Description: Generate spreadsheet publications that follow best practice guidance from the UK government's Analysis Function, available at <https://analysisfunction.civilservice.gov.uk/policy-store/releasing-statistics-in-spreadsheets/>, with a focus on accessibility. See also the 'Python' package 'gptables'.
Author: Matt Dray [aut], Tim Taylor [ctb], Matt Kerlogue [ctb], Crown Copyright [cph], Olivia Box Power [cre, ctb], Zachary Gleisner [ctb]
Maintainer: Olivia Box Power <Olivia.BoxPower@dhsc.gov.uk>

Diff between aftables versions 1.0.1 dated 2025-02-19 and 2.0.0 dated 2026-03-20

 DESCRIPTION                            |   28 -
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 NAMESPACE                              |   19 
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 54 files changed, 2742 insertions(+), 2091 deletions(-)

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New package qadf with initial version 1.0.0
Package: qadf
Title: Quantile Autoregressive Distributed Lag Unit Root Test
Version: 1.0.0
Description: Implements the Quantile Autoregressive Distributed Lag (QADF) unit root test proposed by Koenker and Xiao (2004) <doi:10.1198/016214504000001114>. The test examines unit root behaviour across the conditional distribution of a time series using quantile regression, providing a richer characterisation of persistence than standard ADF tests. Critical values follow Hansen (1995) <doi:10.1017/S0266466600009713>. Lag order selection is supported via AIC, BIC, or the t-statistic sequential testing approach.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: stats, quantreg
Suggests: testthat (>= 3.0.0)
URL: https://github.com/muhammedalkhalaf/qadf
BugReports: https://github.com/muhammedalkhalaf/qadf/issues
NeedsCompilation: no
Packaged: 2026-03-17 01:45:18 UTC; acad_
Author: Muhammad Alkhalaf [aut, cre, cph]
Maintainer: Muhammad Alkhalaf <muhammedalkhalaf@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-20 11:50:02 UTC

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New package gcor with initial version 0.1.0
Package: gcor
Title: Generalized Correlation and Related Measures
Version: 0.1.0
Depends: R (>= 4.0.0)
Description: Generalized correlation and related measures for assessing nonlinear relationships between variables, including mixed-type data. For methodological background, see <https://r-suzuki.github.io/gcor/method.html>.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/r-suzuki/gcor-r
BugReports: https://github.com/r-suzuki/gcor-r/issues
NeedsCompilation: no
Packaged: 2026-03-17 07:43:15 UTC; ryota
Author: Ryota Suzuki [aut, cre]
Maintainer: Ryota Suzuki <suzuki@ef-prime.com>
Repository: CRAN
Date/Publication: 2026-03-20 11:40:02 UTC

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New package crystract with initial version 1.0.0
Package: crystract
Title: Crystallographic Information File (CIF) Data Processing Tools
Version: 1.0.0
Maintainer: Don Ngo <dngo@carnegiescience.edu>
Description: Provides a suite of functions to parse Crystallographic Information Files (.cif), extracting essential data such as chemical formulas, unit cell parameters, atomic coordinates, and symmetry operations. It also includes tools to calculate interatomic distances, identify bonded pairs using various algorithms (minimum_distance, brunner_nn_reciprocal, econ_nn, crystal_nn), determine nearest neighbor counts, and calculate bond angles. The package is designed to facilitate the preparation of crystallographic data for further analysis, including machine learning applications in materials science. Methods are described in: Brunner (1977) <doi:10.1107/S0567739477000461>; Hoppe (1979) <doi:10.1524/zkri.1979.150.14.23>; O'Keeffe (1979) <doi:10.1107/S0567739479001765>; Shannon (1976) <doi:10.1107/S0567739476001551>; Pan et al. (2021) <doi:10.1021/acs.inorgchem.0c02996>; Pauling (1960, ISBN:978-0801403330).
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: data.table, dplyr, stringr, future, future.apply, geometry
Suggests: DT, ggplot2, htmlwidgets, knitr, plotly, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
LazyData: true
URL: https://prabhulab.github.io/ml-crystals/
NeedsCompilation: no
Packaged: 2026-03-17 10:59:58 UTC; carnegieuser
Author: Don Ngo [aut, cre] , Anirudh Prabhu [aut] , Julia-Maria Hubner [aut]
Repository: CRAN
Date/Publication: 2026-03-20 11:50:08 UTC

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New package mixediffusion with initial version 1.0.0
Package: mixediffusion
Title: Mixed-Effects Diffusion Models with General Drift
Description: Provides tools for likelihood-based inference in one-dimensional stochastic differential equations with mixed effects using expectation–maximization (EM) algorithms. The package supports Wiener and Ornstein–Uhlenbeck diffusion processes with user-specified drift functions, allowing flexible parametric forms including polynomial, exponential, and trigonometric structures. Estimation is performed via Markov chain Monte Carlo EM.
Version: 1.0.0
License: GPL-3
Encoding: UTF-8
Imports: dplyr, adaptMCMC
Maintainer: Pedro Abraham Montoya Calzada <pedroabraham.montoya@gmail.com>
Depends: R (>= 4.5)
LazyData: true
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-03-16 22:49:43 UTC; Abraham
Author: Pedro Abraham Montoya Calzada [aut, cre, cph] , Rogelio Salinas Gutierrez [aut, cph] , Silvia Rodriguez-Narciso [aut, cph] , Netzahualcoyotl Castaneda-Leyva [aut, cph]
Repository: CRAN
Date/Publication: 2026-03-20 10:30:02 UTC

More information about mixediffusion at CRAN
Permanent link

Package EQUALPrognosis updated to version 0.1.3 with previous version 0.1.2 dated 2026-02-04

Title: Analysing Prognostic Studies
Description: Functions that help with analysis of prognostic study data. This allows users with little experience of developing models to develop models and assess the performance of the prognostic models. This also summarises the information, so the performance of multiple models can be displayed simultaneously. This minor update fixes issues related to memory requirements with large number of simulations and deals with situations when there is overfitting of data. Gurusamy, K (2026)<https://github.com/kurinchi2k/EQUALPrognosis>.
Author: Kurinchi Gurusamy [aut, cre]
Maintainer: Kurinchi Gurusamy <k.gurusamy@ucl.ac.uk>

Diff between EQUALPrognosis versions 0.1.2 dated 2026-02-04 and 0.1.3 dated 2026-03-20

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New package ctlr with initial version 0.1.0
Package: ctlr
Title: Clinical Tolerance Limits for Assessing Agreement
Version: 0.1.0
Description: Implements clinical tolerance limits (CTL) methodology for assessing agreement between two measurement methods. Estimates the true latent trait using Best Linear Unbiased Predictors (BLUP), models bias and variance components, and calculates overall and conditional agreement probabilities. Provides visualization tools including tolerance limit plots and conditional probability of agreement plots with confidence bands. This package is based on methods described in Taffé (2016) <doi:10.1177/0962280216666667>, Taffé (2019) <doi:10.1177/0962280219844535>, and 'Stata' package Taffé (2025) <doi:10.1177/1536867X251365501>.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 4.1.0)
LazyData: true
Suggests: testthat (>= 3.0.0), withr (>= 2.0.0)
Imports: binom (>= 1.1-1.1), dplyr (>= 1.1.0), ggplot2 (>= 3.3.0), lme4 (>= 1.1-35), lmtest (>= 0.9-40), MASS (>= 7.3-60), mfp2 (>= 1.0.1), sandwich (>= 3.0-0), stats, utils
NeedsCompilation: no
Packaged: 2026-03-16 18:02:07 UTC; dl-rookie
Author: Eliane Maalouf [aut] , Patrick Taffe [cre, aut, cph]
Maintainer: Patrick Taffe <patrick.taffe@unisante.ch>
Repository: CRAN
Date/Publication: 2026-03-20 10:50:02 UTC

More information about ctlr at CRAN
Permanent link

Package edeaR updated to version 1.0.1 with previous version 1.0.0 dated 2025-11-29

Title: Exploratory and Descriptive Event-Based Data Analysis
Description: Exploratory and descriptive analysis of event based data. Provides methods for describing and selecting process data, and for preparing event log data for process mining. Builds on the S3-class for event logs implemented in the package 'bupaR'.
Author: Benoît Depaire [cre], Gert Janssenswillen [aut], Gerard van Hulzen [ctb], Marijke Swennen [ctb], Ivan Esin [ctb], Felix Mannhardt [ctb], Hasselt University [cph]
Maintainer: Benoît Depaire <benoit.depaire@uhasselt.be>

Diff between edeaR versions 1.0.0 dated 2025-11-29 and 1.0.1 dated 2026-03-20

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Package dartR.sexlinked updated to version 1.2.2 with previous version 1.0.5 dated 2024-06-24

Title: Analysing SNP Data to Identify Sex-Linked Markers
Description: Identifies, filters and exports sex linked markers using 'SNP' (single nucleotide polymorphism) data. To install the other packages, we recommend to install the 'dartRverse' package, that supports the installation of all packages in the 'dartRverse'. If you want understand the applied rational to identify sexlinked markers and/or want to cite 'dartR.sexlinked', you find the information by typing citation('dartR.sexlinked') in the console.
Author: Diana Robledo-Ruiz [aut, cre], Floriaan Devloo-Delva [aut], Bernd Gruber [aut], Arthur Georges [aut], Jose L. Mijangos [aut], Carlo Pacioni [aut], Peter J. Unmack [ctb], Oliver Berry [ctb]
Maintainer: Diana Robledo-Ruiz <diana.robledoruiz1@monash.edu>

Diff between dartR.sexlinked versions 1.0.5 dated 2024-06-24 and 1.2.2 dated 2026-03-20

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More information about dartR.sexlinked at CRAN
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Package couplr updated to version 1.2.0 with previous version 1.1.0 dated 2026-03-03

Title: Optimal Pairing and Matching via Linear Assignment
Description: Solves optimal pairing and matching problems using linear assignment algorithms. Provides implementations of the Hungarian method (Kuhn 1955) <doi:10.1002/nav.3800020109>, Jonker-Volgenant shortest path algorithm (Jonker and Volgenant 1987) <doi:10.1007/BF02278710>, Auction algorithm (Bertsekas 1988) <doi:10.1007/BF02186476>, cost-scaling (Goldberg and Kennedy 1995) <doi:10.1007/BF01585996>, scaling algorithms (Gabow and Tarjan 1989) <doi:10.1137/0218069>, push-relabel (Goldberg and Tarjan 1988) <doi:10.1145/48014.61051>, and Sinkhorn entropy-regularized transport (Cuturi 2013) <doi:10.48550/arxiv.1306.0895>. Designed for matching plots, sites, samples, or any pairwise optimization problem. Supports rectangular matrices, forbidden assignments, data frame inputs, batch solving, k-best solutions, and pixel-level image morphing for visualization. Includes automatic preprocessing with variable health checks, multiple scaling methods (standardized, [...truncated...]
Author: Gilles Colling [aut, cre, cph]
Maintainer: Gilles Colling <gilles.colling051@gmail.com>

Diff between couplr versions 1.1.0 dated 2026-03-03 and 1.2.0 dated 2026-03-20

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More information about couplr at CRAN
Permanent link

Package panelsummary updated to version 0.1.3 with previous version 0.1.2.1 dated 2023-08-16

Title: Create Publication-Ready Regression Tables with Panels
Description: Create an automated regression table that is well-suited for models that are estimated with multiple dependent variables. 'panelsummary' extends 'modelsummary' (Arel-Bundock, V. (2022) <doi:10.18637/jss.v103.i01>) by allowing regression tables to be split into multiple sections with a simple function call. Utilize familiar arguments such as fmt, estimate, statistic, vcov, conf_level, stars, coef_map, coef_omit, coef_rename, gof_map, and gof_omit from 'modelsummary' to clean the table, and additionally, add a row for the mean of the dependent variable without external manipulation.
Author: Michael Topper [aut, cre], Vincent Arel-Bundock [cph]
Maintainer: Michael Topper <miketopper123@gmail.com>

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More information about panelsummary at CRAN
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Package BayesSIM updated to version 1.0.2 with previous version 1.0.1 dated 2026-01-08

Title: Integrated Interface of Bayesian Single Index Models using 'nimble'
Description: Provides tools for fitting Bayesian single index models with flexible choices of priors for both the index and the link function. The package implements model estimation and posterior inference using efficient MCMC algorithms built on the 'nimble' framework, allowing users to specify, extend, and simulate models in a unified and reproducible manner. The following methods are implemented in the package: Antoniadis et al. (2004) <https://www.jstor.org/stable/24307224>, Wang (2009) <doi:10.1016/j.csda.2008.12.010>, Choi et al. (2011) <doi:10.1080/10485251003768019>, Dhara et al. (2019) <doi:10.1214/19-BA1170>, McGee et al. (2023) <doi:10.1111/biom.13569>.
Author: Seowoo Jung [aut, cre], Eun-kyung Lee [aut]
Maintainer: Seowoo Jung <jsw1347@ewha.ac.kr>

Diff between BayesSIM versions 1.0.1 dated 2026-01-08 and 1.0.2 dated 2026-03-20

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Package Rata (with last version 0.0.2) was removed from CRAN

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

2019-10-24 0.0.2
2019-08-27 0.0.1

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Package llamaR (with last version 0.2.2) was removed from CRAN

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2026-03-05 0.2.2

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

2019-03-22 2.1.2
2018-10-02 2.1.1
2018-07-05 2.1.0
2017-08-30 2.0.3
2017-04-13 2.0.1
2017-01-10 2.0.0
2016-08-29 1.1.0
2016-08-13 1.0.1

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2019-11-12 0.0.3

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

2021-02-04 0.8-3
2015-07-05 0.7-6
2015-05-25 0.6-16

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

2026-01-29 0.1.3
2025-11-25 0.1.2
2025-11-19 0.1.1
2025-11-18 0.1.0

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

2025-07-10 1.3.4.1
2022-11-10 1.3.4
2021-10-28 1.3.3
2020-02-13 1.3.2
2018-09-14 1.3.1
2015-01-06 1.3.0
2014-11-16 1.2.11
2014-01-08 1.2.10
2013-07-27 1.2.9
2013-07-16 1.2.8
2013-05-23 1.2.7
2013-02-12 1.2.6
2012-11-15 1.2.5
2012-07-06 1.2.4
2012-04-20 1.2.3
2012-03-15 1.2.1
2012-02-15 1.2.0
2012-02-13 1.1.9
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Package XML updated to version 3.99-0.23 with previous version 3.99-0.22 dated 2026-02-10

Title: Tools for Parsing and Generating XML Within R and S-Plus
Description: Many approaches for both reading and creating XML (and HTML) documents (including DTDs), both local and accessible via HTTP or FTP. Also offers access to an 'XPath' "interpreter".
Author: CRAN Team [ctb] , Duncan Temple Lang [aut] , Tomas Kalibera [ctb], Ivan Krylov [cre]
Maintainer: Ivan Krylov <ikrylov@disroot.org>

Diff between XML versions 3.99-0.22 dated 2026-02-10 and 3.99-0.23 dated 2026-03-20

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Package TreeTools updated to version 2.2.0 with previous version 2.1.0 dated 2026-02-11

Title: Create, Modify and Analyse Phylogenetic Trees
Description: Efficient implementations of functions for the creation, modification and analysis of phylogenetic trees. Applications include: generation of trees with specified shapes; tree rearrangement; analysis of tree shape; rooting of trees and extraction of subtrees; calculation and depiction of split support; plotting the position of rogue taxa (Klopfstein & Spasojevic 2019) <doi:10.1371/journal.pone.0212942>; calculation of ancestor-descendant relationships, of 'stemwardness' (Asher & Smith, 2022) <doi:10.1093/sysbio/syab072>, and of tree balance (Mir et al. 2013, Lemant et al. 2022) <doi:10.1016/j.mbs.2012.10.005>, <doi:10.1093/sysbio/syac027>; artificial extinction (Asher & Smith, 2022) <doi:10.1093/sysbio/syab072>; import and export of trees from Newick, Nexus (Maddison et al. 1997) <doi:10.1093/sysbio/46.4.590>, and TNT <https://www.lillo.org.ar/phylogeny/tnt/> formats; and analysis of splits and cladistic information.
Author: Martin R. Smith [aut, cre, cph] , Emmanuel Paradis [cph] , Robert Noble [cph]
Maintainer: Martin R. Smith <martin.smith@durham.ac.uk>

Diff between TreeTools versions 2.1.0 dated 2026-02-11 and 2.2.0 dated 2026-03-20

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Package tgstat updated to version 2.3.32 with previous version 2.3.29 dated 2025-11-12

Title: Amos Tanay's Group High Performance Statistical Utilities
Description: A collection of high performance utilities to compute distance, correlation, auto correlation, clustering and other tasks. Contains graph clustering algorithm described in "MetaCell: analysis of single-cell RNA-seq data using K-nn graph partitions" (Yael Baran, Akhiad Bercovich, Arnau Sebe-Pedros, Yaniv Lubling, Amir Giladi, Elad Chomsky, Zohar Meir, Michael Hoichman, Aviezer Lifshitz & Amos Tanay, 2019 <doi:10.1186/s13059-019-1812-2>).
Author: Michael Hoichman [aut], Aviezer Lifshitz [aut, cre]
Maintainer: Aviezer Lifshitz <aviezer.lifshitz@weizmann.ac.il>

Diff between tgstat versions 2.3.29 dated 2025-11-12 and 2.3.32 dated 2026-03-20

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Package rxode2 updated to version 5.0.2 with previous version 5.0.1 dated 2025-12-09

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

Diff between rxode2 versions 5.0.1 dated 2025-12-09 and 5.0.2 dated 2026-03-20

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Package RcppSpdlog updated to version 0.0.28 with previous version 0.0.27 dated 2026-02-12

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>

Diff between RcppSpdlog versions 0.0.27 dated 2026-02-12 and 0.0.28 dated 2026-03-20

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Package quickSentiment updated to version 0.3.2 with previous version 0.3.1 dated 2026-03-01

Title: A Fast and Flexible Pipeline for Text Classification
Description: A high-level pipeline that simplifies text classification into three streamlined steps: preprocessing, model training, and standardized prediction. It unifies the interface for multiple algorithms (including 'glmnet', 'ranger', 'xgboost', and 'naivebayes') and memory-efficient sparse matrix vectorization methods (Bag-of-Words, Term Frequency, TF-IDF, and Binary). Users can go from raw text to a fully evaluated sentiment model, complete with ROC-optimized thresholds, in just a few function calls. The resulting model artifact automatically aligns the vocabulary of new datasets during the prediction phase, safely appending predicted classes and probability matrices directly to the user's original dataframe to preserve metadata.
Author: Alabhya Dahal [aut, cre]
Maintainer: Alabhya Dahal <alabhya.dahal@gmail.com>

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Package procs updated to version 1.0.8 with previous version 1.0.7 dated 2025-07-27

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

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Package gctsc updated to version 0.2.3 with previous version 0.2.0 dated 2026-03-13

Title: Gaussian and Student-t Copula Models for Count Time Series
Description: Provides likelihood-based inference for Gaussian and Student-t copula models for univariate count time series. Supports Poisson, negative binomial, binomial, beta-binomial, and zero-inflated marginals with ARMA dependence structures. Includes simulation, maximum-likelihood estimation, residual diagnostics, and predictive inference. Implements Time Series Minimax Exponential Tilting (TMET) <doi:10.1016/j.csda.2026.108344>, an adaptation of minimax exponential tilting of Botev (2017) <doi:10.1111/rssb.12162>. Also provides a linear-cost implementation of the Geweke–Hajivassiliou–Keane (GHK) simulator following Masarotto and Varin (2012) <doi:10.1214/12-EJS721>, and the Continuous Extension (CE) approximation of Nguyen and De Oliveira (2025) <doi:10.1080/02664763.2025.2498502>. The package follows the S3 design philosophy of 'gcmr' but is developed independently.
Author: Quynh Nguyen [aut, cre], Victor De Oliveira [aut]
Maintainer: Quynh Nguyen <nqnhu2209@gmail.com>

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Package deSolve updated to version 1.42 with previous version 1.41 dated 2026-02-06

Title: Solvers for Initial Value Problems of Differential Equations ('ODE', 'DAE', 'DDE')
Description: Functions that solve initial value problems of a system of first-order ordinary differential equations ('ODE'), of partial differential equations ('PDE'), of differential algebraic equations ('DAE'), and of delay differential equations. The functions provide an interface to the FORTRAN functions 'lsoda', 'lsodar', 'lsode', 'lsodes' of the 'ODEPACK' collection, to the FORTRAN functions 'dvode', 'zvode' and 'daspk' and a C-implementation of solvers of the 'Runge-Kutta' family with fixed or variable time steps. The package contains routines designed for solving 'ODEs' resulting from 1-D, 2-D and 3-D partial differential equations ('PDE') that have been converted to 'ODEs' by numerical differencing.
Author: Karline Soetaert [aut] , Thomas Petzoldt [aut, cre] , R. Woodrow Setzer [aut] , Peter N. Brown [ctb] , George D. Byrne [ctb] , Ernst Hairer [ctb] , Alan C. Hindmarsh [ctb] , Cleve Moler [ctb] , Linda R. Petzold [ctb] , Youcef Saad [ctb] , Clement W. [...truncated...]
Maintainer: Thomas Petzoldt <thomas.petzoldt@tu-dresden.de>

Diff between deSolve versions 1.41 dated 2026-02-06 and 1.42 dated 2026-03-20

 DESCRIPTION               |    6 
 MD5                       |   46 +--
 NEWS.md                   |  581 +++++++++++++++++++++++-----------------------
 build/partial.rdb         |binary
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 src/call_zvode.c          |   14 -
 src/deSolve_utils.c       |   45 +--
 src/ex_Aquaphy.c          |    4 
 src/ex_CCL4model.c        |    2 
 src/ex_ChemicalDAE.c      |    2 
 src/ex_SCOC.c             |    2 
 src/forcings.c            |    4 
 src/lags.c                |   30 +-
 src/rk_auto.c             |    6 
 src/rk_fixed.c            |    4 
 src/rk_implicit.c         |    8 
 src/rk_util.c             |   21 +
 src/twoDmap.c             |    6 
 24 files changed, 418 insertions(+), 411 deletions(-)

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Package dbarts updated to version 0.9-33 with previous version 0.9-32 dated 2025-04-02

Title: Discrete Bayesian Additive Regression Trees Sampler
Description: Fits Bayesian additive regression trees (BART; Chipman, George, and McCulloch (2010) <doi:10.1214/09-AOAS285>) while allowing the updating of predictors or response so that BART can be incorporated as a conditional model in a Gibbs/Metropolis-Hastings sampler. Also serves as a drop-in replacement for package 'BayesTree'.
Author: Vincent Dorie [aut, cre] , Hugh Chipman [aut], Robert McCulloch [aut], Armon Dadgar [ctb] , R Core Team [ctb] , Guido U Draheim [ctb] , Maarten Bosmans [ctb] , Christophe Tournayre [ctb] , Michael Petch [ctb] , Rafael de Lucena Valle [ctb] , Steven G [...truncated...]
Maintainer: Vincent Dorie <vdorie@gmail.com>

Diff between dbarts versions 0.9-32 dated 2025-04-02 and 0.9-33 dated 2026-03-20

 DESCRIPTION                              |   15 +++++-----
 MD5                                      |   24 ++++++++--------
 R/dbarts.R                               |   14 +++++++++
 build/vignette.rds                       |binary
 inst/doc/gibbs_sampler_mixture_model.pdf |binary
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 src/R_interface_crossvalidate.cpp        |    2 -
 src/R_interface_sampler.cpp              |   45 +++++++++++++++++++++++++++++++
 src/R_interface_sampler.hpp              |    3 ++
 src/external/randomBase.c                |   14 ++++-----
 src/include/rc/util.h                    |    6 ++++
 src/rc/util.c                            |    2 -
 13 files changed, 99 insertions(+), 28 deletions(-)

More information about dbarts at CRAN
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Package dartR.base updated to version 1.2.3 with previous version 1.2.2 dated 2026-03-12

Title: Analysing 'SNP' and 'Silicodart' Data - Basic Functions
Description: Facilitates the import and analysis of 'SNP' (single nucleotide 'polymorphism') and 'silicodart' (presence/absence) data. The main focus is on data generated by 'DarT' (Diversity Arrays Technology), however, data from other sequencing platforms can be used once 'SNP' or related fragment presence/absence data from any source is imported. Genetic datasets are stored in a derived 'genlight' format (package 'adegenet'), that allows for a very compact storage of data and metadata. Functions are available for importing and exporting of 'SNP' and 'silicodart' data, for reporting on and filtering on various criteria (e.g. 'callrate', 'heterozygosity', 'reproducibility', maximum allele frequency). Additional functions are available for visualization (e.g. Principle Coordinate Analysis) and creating a spatial representation using maps. 'dartR.base' is the 'base' package of the 'dartRverse' suits of packages. To install the other packages, we recommend to install the 'dartRverse' package, that su [...truncated...]
Author: Bernd Gruber [aut, cre], Arthur Georges [aut], Jose L. Mijangos [aut], Carlo Pacioni [aut], Diana Robledo-Ruiz [aut], Peter J. Unmack [ctb], Oliver Berry [ctb], Lindsay V. Clark [ctb], Emily Stringer [ctb], Floriaan Devloo-Delva [ctb], Eric Archer [c [...truncated...]
Maintainer: Bernd Gruber <bernd.gruber@canberra.edu.au>

Diff between dartR.base versions 1.2.2 dated 2026-03-12 and 1.2.3 dated 2026-03-20

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 33 files changed, 101 insertions(+), 140 deletions(-)

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Package BayesLogit updated to version 2.3 with previous version 2.1 dated 2019-09-26

Title: PolyaGamma Sampling
Description: Tools for sampling from the PolyaGamma distribution based on Polson, Scott, and Windle (2013) <doi:10.1080/01621459.2013.829001>. Useful for logistic regression.
Author: Nicholas G. Polson [aut, cph], James G. Scott [aut, cph], Jesse Windle [aut, cre, cph], Jari Oksanen [ctb], James Balamuta [ctb]
Maintainer: Jesse Windle <jesse.windle@gmail.com>

Diff between BayesLogit versions 2.1 dated 2019-09-26 and 2.3 dated 2026-03-20

 BayesLogit-2.1/BayesLogit/inst/dev/data           |only
 BayesLogit-2.3/BayesLogit/DESCRIPTION             |    8 ++--
 BayesLogit-2.3/BayesLogit/MD5                     |   15 +++----
 BayesLogit-2.3/BayesLogit/NEWS.md                 |   31 +++++++++++-----
 BayesLogit-2.3/BayesLogit/R/PolyaGammaApproxAlt.R |    4 +-
 BayesLogit-2.3/BayesLogit/R/SaddlePointApprox.R   |   30 +++++++--------
 BayesLogit-2.3/BayesLogit/README.md               |    4 --
 BayesLogit-2.3/BayesLogit/inst/CITATION           |   42 +++++++++++++++-------
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 9 files changed, 81 insertions(+), 55 deletions(-)

More information about BayesLogit at CRAN
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Package aqp updated to version 2.3.1 with previous version 2.3 dated 2026-01-17

Title: Algorithms for Quantitative Pedology
Description: The Algorithms for Quantitative Pedology (AQP) project was started in 2009 to organize a loosely-related set of concepts and source code on the topic of soil profile visualization, aggregation, and classification into this package (aqp). Over the past 8 years, the project has grown into a suite of related R packages that enhance and simplify the quantitative analysis of soil profile data. Central to the AQP project is a new vocabulary of specialized functions and data structures that can accommodate the inherent complexity of soil profile information; freeing the scientist to focus on ideas rather than boilerplate data processing tasks <doi:10.1016/j.cageo.2012.10.020>. These functions and data structures have been extensively tested and documented, applied to projects involving hundreds of thousands of soil profiles, and deeply integrated into widely used tools such as SoilWeb <https://casoilresource.lawr.ucdavis.edu/soilweb-apps>. Components of the AQP project (aqp, soilD [...truncated...]
Author: Dylan Beaudette [aut, cre] , Pierre Roudier [aut, ctb], Andrew Brown [aut, ctb], Stephen Roecker [aut, ctb], David Rossiter [ctb]
Maintainer: Dylan Beaudette <dylan.beaudette@usda.gov>

Diff between aqp versions 2.3 dated 2026-01-17 and 2.3.1 dated 2026-03-20

 aqp-2.3.1/aqp/DESCRIPTION                                                 |    6 
 aqp-2.3.1/aqp/MD5                                                         |  138 ++--
 aqp-2.3.1/aqp/NAMESPACE                                                   |    6 
 aqp-2.3.1/aqp/NEWS.md                                                     |   34 +
 aqp-2.3.1/aqp/R/Class-SoilProfileCollection.R                             |   19 
 aqp-2.3.1/aqp/R/SoilProfileCollection-methods.R                           |  157 ++++-
 aqp-2.3.1/aqp/R/SoilProfileCollection-operators.R                         |   11 
 aqp-2.3.1/aqp/R/SoilProfileCollection-setters.R                           |   32 -
 aqp-2.3.1/aqp/R/SoilProfileCollection-spatial.R                           |    3 
 aqp-2.3.1/aqp/R/addBracket.R                                              |  303 ++++++----
 aqp-2.3.1/aqp/R/aggregateColor.R                                          |    2 
 aqp-2.3.1/aqp/R/col2Munsell.R                                             |    4 
 aqp-2.3.1/aqp/R/colorChart.R                                              |  105 ++-
 aqp-2.3.1/aqp/R/colorQuantiles.R                                          |   11 
 aqp-2.3.1/aqp/R/colorVariation.R                                          |  183 ++++--
 aqp-2.3.1/aqp/R/data-documentation.R                                      |   16 
 aqp-2.3.1/aqp/R/estimateSoilColor.R                                       |  218 +++++--
 aqp-2.3.1/aqp/R/fillHzGaps.R                                              |   36 -
 aqp-2.3.1/aqp/R/hzOffset.R                                                |  260 +++++++-
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 aqp-2.3.1/aqp/R/mutate_profile.R                                          |    9 
 aqp-2.3.1/aqp/R/parseMunsell.R                                            |    2 
 aqp-2.3.1/aqp/R/plotSPC.R                                                 |   10 
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 aqp-2.3.1/aqp/R/repairMissingHzDepths.R                                   |    2 
 aqp-2.3.1/aqp/R/simulateColor.R                                           |    6 
 aqp-2.3.1/aqp/R/soilColorSignature.R                                      |   59 +
 aqp-2.3.1/aqp/R/spc2mpspline.R                                            |   17 
 aqp-2.3.1/aqp/R/spec2Munsell.R                                            |    2 
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 aqp-2.3.1/aqp/R/warpHorizons.R                                            |    4 
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 aqp-2.3.1/aqp/data/datalist                                               |    1 
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 aqp-2.3.1/aqp/inst/doc/Introduction-to-SoilProfileCollection-Objects.html |  112 +--
 aqp-2.3.1/aqp/inst/doc/Munsell-color-conversion.R                         |   53 +
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 aqp-2.3.1/aqp/inst/doc/aqp-overview.Rmd                                   |    4 
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 aqp-2.3.1/aqp/man/colorChart.Rd                                           |   18 
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 aqp-2.3.1/aqp/man/dollarsign.Rd                                           |    8 
 aqp-2.3.1/aqp/man/estimateSoilColor.Rd                                    |   59 +
 aqp-2.3.1/aqp/man/grepSPC.Rd                                              |    2 
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 aqp-2.3.1/aqp/man/mixMunsell.Rd                                           |    4 
 aqp-2.3.1/aqp/man/mutate_profile.Rd                                       |    2 
 aqp-2.3.1/aqp/man/names.Rd                                                |   12 
 aqp-2.3.1/aqp/man/parseMunsell.Rd                                         |    3 
 aqp-2.3.1/aqp/man/reduceSPC.Rd                                            |    2 
 aqp-2.3.1/aqp/man/simulateColor.Rd                                        |    2 
 aqp-2.3.1/aqp/man/site.Rd                                                 |    4 
 aqp-2.3.1/aqp/man/soilColorSignature.Rd                                   |    2 
 aqp-2.3.1/aqp/man/subApply.Rd                                             |    2 
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 aqp-2.3.1/aqp/tests/testthat/test-hzOffset.R                              |   44 +
 aqp-2.3.1/aqp/tests/testthat/test-plotSPC.R                               |    5 
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 aqp-2.3.1/aqp/vignettes/Introduction-to-SoilProfileCollection-Objects.Rmd |    8 
 aqp-2.3.1/aqp/vignettes/Munsell-color-conversion.Rmd                      |   88 ++
 aqp-2.3.1/aqp/vignettes/aqp-overview.Rmd                                  |    4 
 aqp-2.3/aqp/R/reduce.R                                                    |only
 75 files changed, 2223 insertions(+), 674 deletions(-)

More information about aqp at CRAN
Permanent link

Package Rserve updated to version 1.8-18 with previous version 1.8-17 dated 2026-02-02

Title: Versatile R Server
Description: Rserve is a versatile, scalable server enabling the efficient use of R from other applications through variety of protocols including QAP, WebSockets, HTTP and HTTPS. It acts as a server (TCP/IP or local sockets) which allows binary requests to be sent to R. Every connection has a separate workspace and working directory. Client-side implementations are available for many popular languages allowing applications to use facilities of R without the need of linking to the R binary. Rserve supports remote connections, user authentication and file transfer. A simple R client is included in this package as well. It also supports OCAP mode for secure remote procedure calls, including support for full event loop, asynchronous results/graphics and console I/O.
Author: Simon Urbanek [aut, cre, cph]
Maintainer: Simon Urbanek <Simon.Urbanek@r-project.org>

Diff between Rserve versions 1.8-17 dated 2026-02-02 and 1.8-18 dated 2026-03-20

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 10 files changed, 38 insertions(+), 16 deletions(-)

More information about Rserve at CRAN
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