Tue, 14 Jul 2026

Package mlr3spatial updated to version 0.7.0 with previous version 0.6.1 dated 2025-09-14

Title: Support for Spatial Objects Within the 'mlr3' Ecosystem
Description: Extends the 'mlr3' ML framework with methods for spatial objects. Data storage and prediction are supported for packages 'terra', 'raster' and 'stars'.
Author: Marc Becker [aut, cre] , Patrick Schratz [aut]
Maintainer: Marc Becker <marcbecker@posteo.de>

Diff between mlr3spatial versions 0.6.1 dated 2025-09-14 and 0.7.0 dated 2026-07-14

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More information about mlr3spatial at CRAN
Permanent link

Package EMC2 updated to version 3.5.0 with previous version 3.4.1 dated 2026-01-12

Title: Bayesian Hierarchical Analysis of Cognitive Models of Choice
Description: Fit Bayesian (hierarchical) cognitive models using a linear modeling language interface using particle Metropolis Markov chain Monte Carlo sampling with Gibbs steps. The diffusion decision model (DDM), linear ballistic accumulator model (LBA), racing diffusion model (RDM), and the lognormal race model (LNR) are supported. Additionally, users can specify their own likelihood function and/or choose for non-hierarchical estimation, as well as for a diagonal, blocked or full multivariate normal group-level distribution to test individual differences. Prior specification is facilitated through methods that visualize the (implied) prior. A wide range of plotting functions assist in assessing model convergence and posterior inference. Models can be easily evaluated using functions that plot posterior predictions or using relative model comparison metrics such as information criteria or Bayes factors. References: Stevenson et al. (2024) <doi:10.31234/osf.io/2e4dq>.
Author: Niek Stevenson [aut, cre] , Michelle Donzallaz [aut], Andrew Heathcote [aut], Steven Miletic [aut], Luke Strickland [ctb], Frank Hezemans [ctb], Raphael Hartmann [ctb], Karl C. Klauer [ctb], Steven G. Johnson [ctb], Jean M. Linhart [ctb], Brian Gough [...truncated...]
Maintainer: Niek Stevenson <niek.stevenson@gmail.com>

Diff between EMC2 versions 3.4.1 dated 2026-01-12 and 3.5.0 dated 2026-07-14

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More information about EMC2 at CRAN
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Package qlcal updated to version 0.1.2 with previous version 0.1.1 dated 2026-04-15

Title: R Bindings to the Calendaring Functionality of 'QuantLib'
Description: 'QuantLib' bindings are provided for R using 'Rcpp' via an evolved version of the initial header-only 'Quantuccia' project offering an subset of 'QuantLib' (now maintained separately just for the calendaring subset). See the included file 'AUTHORS' for a full list of contributors to 'QuantLib' (and hence also 'Quantuccia').
Author: Dirk Eddelbuettel [aut, cre] , QuantLib Authors [aut]
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between qlcal versions 0.1.1 dated 2026-04-15 and 0.1.2 dated 2026-07-14

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Permanent link

Package admiral.test (with last version 0.7.0) was removed from CRAN

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

2023-09-10 0.7.0
2023-06-07 0.6.0
2023-03-06 0.5.0
2022-11-29 0.4.0
2022-09-01 0.3.0
2022-05-30 0.2.0
2022-02-15 0.1.2

Permanent link
Package tf updated to version 0.5.0 with previous version 0.4.1 dated 2026-04-07

Title: S3 Classes and Methods for Tidy Functional Data
Description: Provides S3 vector types for functional data represented on grids, in spline bases, or via functional principal components. Supports arithmetic and summary methods, plotting, derivation, integration, smoothing, registration, and data import/export for these functional vectors. Includes data-wrangling tools for re-evaluation, subsetting, sub-assignment, zooming into sub-domains, and extracting functional features such as minima, maxima, and their locations. Enables joint analysis of functional and scalar variables by integrating functional vectors into standard data frames.
Author: Fabian Scheipl [aut, cre, cph] , Jeff Goldsmith [aut], Maximilian Muecke [aut] , Julia Wrobel [ctb] , Sebastian Fischer [ctb]
Maintainer: Fabian Scheipl <fabian.scheipl@googlemail.com>

Diff between tf versions 0.4.1 dated 2026-04-07 and 0.5.0 dated 2026-07-14

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Package admiralpeds updated to version 0.4.0 with previous version 0.3.0 dated 2026-01-23

Title: Pediatrics Extension Package for ADaM in 'R' Asset Library
Description: A toolbox for programming Clinical Data Standards Interchange Consortium (CDISC) compliant Analysis Data Model (ADaM) datasets in R. ADaM datasets are a mandatory part of any New Drug or Biologics License Application submitted to the United States Food and Drug Administration (FDA). Analysis derivations are implemented in accordance with the "Analysis Data Model Implementation Guide" (CDISC Analysis Data Model Team, 2021, <https://www.cdisc.org/standards/foundational/adam>). The package is an extension package of the 'admiral' package for pediatric clinical trials.
Author: Fanny Gautier [aut, cre] , Ross Farrugia [aut], Zelos Zhu [aut], Sukalpo Saha [aut], Lina Patil [aut], Samia Kabi [aut], Laura Liao [ctb], Remigiusz Kudlacz [ctb], Pierre Wallet [ctb], Amin Sherzad [ctb], David Freedman [ctb], Mahmoud Hamza [ctb], Cy [...truncated...]
Maintainer: Fanny Gautier <fanny.gautier@cytel.com>

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Package directadjusting updated to version 0.7.0 with previous version 0.6.1 dated 2026-02-04

Title: Directly Adjusted Estimates
Description: Compute estimates and confidence intervals of weighted averages quickly and easily. Weighted averages are computed using data.table for speed. Confidence intervals are approximated using the delta method with either using known formulae or via algorithmic or numerical derivation.
Author: Joonas Miettinen [cre, aut]
Maintainer: Joonas Miettinen <joonas.miettinen@cancer.fi>

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Package fbrglm updated to version 0.1.0 with previous version 0.0.1 dated 2026-06-22

Title: Safe Formula-Based Regularized Generalized Linear Models
Description: A formula-based wrapper around 'glmnet' that brings the 'glm()'-compatible modeling workflow to regularized generalized linear models. Training-time 'terms', 'xlevels', and 'contrasts' are stored on the fit object and reused at predict time, so the design matrix is reconstructed consistently across sessions. Complete-case bookkeeping is exposed via 'nobs_info', and linearly dependent columns are detected by a QR pivot and reported as 'NA' in 'coef()' and 'summary()' (the 'stats::glm()' convention), distinguishing "not identifiable" from "shrunk to zero by the penalty". Novel factor levels at predict time raise the same error 'stats::predict.glm()' does by default, with 'on_new_levels = "na"' as a production-style opt-in. Accepts character family strings ('gaussian', 'binomial', 'poisson', 'cox', 'multinomial', 'mgaussian') and any 'glm' family object the underlying 'glmnet' itself accepts, including 'Gamma' and fixed-theta negative binomial via 'MASS::negative.binomial'.
Author: Koki Tsuyuzaki [aut, cre]
Maintainer: Koki Tsuyuzaki <k.t.the-answer@hotmail.co.jp>

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Package tinyVAST updated to version 1.6.2 with previous version 1.6.1 dated 2026-06-30

Title: Multivariate Spatio-Temporal Models using Structural Equations
Description: Fits a wide variety of multivariate spatio-temporal models with simultaneous and lagged interactions among variables (including vector autoregressive spatio-temporal ('VAST') dynamics) for areal, continuous, or network spatial domains. It includes time-variable, space-variable, and space-time-variable interactions using dynamic structural equation models ('DSEM') as expressive interface, and the 'mgcv' package to specify splines via the formula interface. See Thorson et al. (2025) <doi:10.1111/geb.70035> for more details.
Author: James T. Thorson [aut, cre] , Sean C. Anderson [aut]
Maintainer: James T. Thorson <James.Thorson@noaa.gov>

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Package redlistr updated to version 2.1.0 with previous version 1.0.4 dated 2023-10-02

Title: Tools for the IUCN Red List of Ecosystems and Species
Description: A toolbox created by members of the International Union for Conservation of Nature (IUCN) Red List of Ecosystems Committee for Scientific Standards. Primarily, it is a set of tools suitable for calculating the metrics required for making assessments of species and ecosystems against the IUCN Red List of Threatened Species and the IUCN Red List of Ecosystems categories and criteria. See the IUCN website for detailed guidelines, the criteria, publications and other information.
Author: Calvin Lee [aut] , Nicholas Murray [aut] , Aniko Toth [cre, aut] , Jose R. Ferrer-Paris [aut]
Maintainer: Aniko Toth <anikobtoth@gmail.com>

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More information about redlistr at CRAN
Permanent link

Package oce updated to version 1.8-4 with previous version 1.8-3 dated 2024-08-17

Title: Analysis of Oceanographic Data
Description: Supports the analysis of Oceanographic data, including 'ADCP' measurements, measurements made with 'argo' floats, 'CTD' measurements, sectional data, sea-level time series, coastline and topographic data, etc. Provides specialized functions for calculating seawater properties such as potential temperature in either the 'UNESCO' or 'TEOS-10' equation of state. Produces graphical displays that conform to the conventions of the Oceanographic literature. This package is discussed extensively by Kelley (2018) "Oceanographic Analysis with R" <doi:10.1007/978-1-4939-8844-0>.
Author: Dan Kelley [aut, cre] , Clark Richards [aut] , Chantelle Layton [ctb] coauthor), British Geological Survey [ctb, cph]
Maintainer: Dan Kelley <Dan.Kelley@Dal.Ca>

Diff between oce versions 1.8-3 dated 2024-08-17 and 1.8-4 dated 2026-07-14

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Package nestedcv readmission to version 0.9.0 with previous version 0.8.2 dated 2026-04-10

Title: Nested Cross-Validation with 'glmnet' and 'caret'
Description: Implements nested k*l-fold cross-validation for lasso and elastic-net regularised linear models via the 'glmnet' package and other machine learning models via the 'caret' package <doi:10.1093/bioadv/vbad048>. Cross-validation of 'glmnet' alpha mixing parameter and embedded fast filter functions for feature selection are provided. Described as double cross-validation by Stone (1977) <doi:10.1111/j.2517-6161.1977.tb01603.x>. Also implemented is a method using outer CV to measure unbiased model performance metrics when fitting Bayesian linear and logistic regression shrinkage models using the horseshoe prior over parameters to encourage a sparse model as described by Piironen & Vehtari (2017) <doi:10.1214/17-EJS1337SI>.
Author: Myles Lewis [aut, cre] , Athina Spiliopoulou [aut] , Cankut Cubuk [ctb] , David Rios Santini [ctb], Katriona Goldmann [ctb] , Ryan C. Thompson [ctb]
Maintainer: Myles Lewis <myles.lewis@qmul.ac.uk>

This is a re-admission after prior archival of version 0.8.2 dated 2026-04-10

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Package mvfmr updated to version 0.2.0 with previous version 0.1.0 dated 2026-02-09

Title: Functional Multivariable Mendelian Randomization
Description: Implements Multivariable Functional Mendelian Randomization (MV-FMR) to estimate time-varying causal effects of multiple longitudinal exposures on health outcomes. Extends univariable functional Mendelian Randomisation (MR) (Tian et al., 2024 <doi:10.1002/sim.10222>) to the multivariable setting, enabling joint estimation of multiple time-varying exposures with pleiotropy and mediation scenarios. Key features include: (1) data-driven cross-validation for basis component selection, (2) handling of mediation pathways between exposures, (3) support for both continuous and binary outcomes using Generalized Method of Moments (GMM) and control function approaches, (4) one-sample and two-sample MR designs, (5) bootstrap inference and instrument diagnostics including Q-statistics for overidentification testing. Methods are described in Fontana et al. (2025) <doi:10.48550/arXiv.2512.19064>.
Author: Nicole Fontana [aut, cre], Francesca Ieva [aut, ths], Piercesare Secchi [aut, ths]
Maintainer: Nicole Fontana <nicole.fontana@polimi.it>

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Package HNPclassifier updated to version 0.2.1 with previous version 0.2.0 dated 2026-06-27

Title: Hierarchical Neyman-Pearson Classification for Ordered Classes
Description: The Hierarchical Neyman-Pearson (H-NP) classification framework extends the Neyman-Pearson classification paradigm to multi-class settings where classes have a natural priority ordering. This is particularly useful for classification in unbalanced dataset, for example, disease severity classification, where under-classification errors (misclassifying patients into less severe categories) are more consequential than other misclassifications. The package implements H-NP umbrella algorithms that controls under-classification errors under user specified control levels with high probability. It supports the creation of H-NP classifiers using scoring functions based on built-in classification methods (including logistic regression, support vector machines, and random forests), as well as user-trained scoring functions. The package exports `base_function()` to train these built-in base learners directly for use in the H-NP pipeline.
Author: Che Shen [aut, cre] , Lujia Yang [aut] , Lijia Wang [aut] , Shunan Yao [aut]
Maintainer: Che Shen <chshen3-c@my.cityu.edu.hk>

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Package ume updated to version 1.7.1 with previous version 1.6.1 dated 2026-05-09

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

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Mon, 13 Jul 2026

Package wilson (with last version 2.4.2) was removed from CRAN

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

2021-04-19 2.4.2
2021-03-08 2.4.1
2020-05-26 2.4.0
2019-11-18 2.3.1
2018-09-19 2.0.2
2018-07-20 2.0.1

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

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

2021-03-17 0.1.0

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

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

2026-06-30 1.0.0

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Package uavRmp (with last version 0.7) was removed from CRAN

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

2024-06-07 0.7
2023-01-29 0.6.2
2022-05-31 0.6.0
2020-07-03 0.5.7

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Package log4r (with last version 0.4.4) was removed from CRAN

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

2024-10-12 0.4.4
2022-11-28 0.4.3
2021-11-04 0.4.2
2021-10-28 0.4.1
2021-10-26 0.4.0
2020-01-18 0.3.2
2019-09-04 0.3.1
2019-06-21 0.3.0
2014-09-29 0.2
2012-03-01 0.1-4
2011-06-25 0.1-3
2011-05-17 0.1-2
2010-09-25 0.1-1

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Package trendseries updated to version 1.4.0 with previous version 1.2.0 dated 2026-05-02

Title: Extract Trends from Time Series
Description: Provides a unified interface to extract trends, cycles, and seasonal components from monthly and quarterly time series using established econometric filters and smoothing methods, with frequency-aware defaults for common economic frequencies.
Author: Vinicius Oike [aut, cre, cph]
Maintainer: Vinicius Oike <viniciusoike@gmail.com>

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Package L1centrality updated to version 0.5.2 with previous version 0.5.1 dated 2026-05-04

Title: Graph/Network Analysis Based on L1 Centrality
Description: Analyze graph/network data using L1 centrality and prestige. Functions for deriving global, local, and group L1 centrality/prestige are provided. Routines for visual inspection of a graph/network are also provided. Details are in Kang and Oh (2026a) <doi:10.1080/01621459.2025.2520467>, Kang and Oh (2026b) <doi:10.1080/00031305.2025.2563730>, and Kang (2025) <doi:10.23170/snu.000000188358.11032.0001856>.
Author: Seungwoo Kang [aut, cre] , Hee-Seok Oh [aut]
Maintainer: Seungwoo Kang <kangsw@skku.edu>

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Package drhur updated to version 2.0.1 with previous version 2.0.0 dated 2026-05-30

Title: Learning R with Dr. Hu
Description: Provides interactive workshops for learning R easily and happily. Each workshop is a self-contained 'Quarto' Live document whose code cells run in the browser via 'WebAssembly', so learners can read the instructions and run the exercises side by side without a local R setup. The materials accompany the "Learning R with Dr. Hu" workshop series.
Author: Yue Hu [aut, cre], Qian Qiu [ctb, trl], Xinyi Ye [ctb, trl], Yufei Sun [ctb]
Maintainer: Yue Hu <yuehu@tsinghua.edu.cn>

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Package colorrepel updated to version 0.5.0 with previous version 0.4.3 dated 2025-07-21

Title: Repel Visually Similar Colors for Colorblind Users in Various Plots
Description: Iterate and repel visually similar colors away in various 'ggplot2' plots. When many groups are plotted at the same time on multiple axes, for instance stacked bars or scatter plots, effectively ordering colors becomes difficult. This tool iterates through color combinations to find the best solution to maximize visual distinctness of nearby groups, so plots are more friendly toward colorblind users. This is achieved by two distance measurements, distance between groups within the plot, and CIELAB color space distances between colors as described in Carter et al., (2018) <doi:10.25039/TR.015.2018>.
Author: Rui Fu [cre, aut, cph]
Maintainer: Rui Fu <raysinensis@gmail.com>

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Package choicer updated to version 0.2.0 with previous version 0.1.0 dated 2026-05-20

Title: Discrete Choice Models for Economic Applications
Description: Fast estimation of discrete-choice models for applied economics. Frequentist likelihoods, analytical gradients, and Hessians are implemented in C++ with 'OpenMP' parallelism, scaling efficiently to specifications with many alternative-specific constants. Compiled Gibbs samplers provide Bayesian multinomial probit and hierarchical models. Post-estimation routines cover predicted shares, own- and cross-price elasticities, diversion ratios, willingness to pay, and welfare counterfactuals. Supports multinomial logit ('MNL'), mixed logit ('MXL'), nested logit ('NL'), Bayesian multinomial probit ('MNP'), and hierarchical Bayesian multinomial logit and probit ('HMNL', 'HMNP').
Author: Fernando Cordeiro [aut, cre, cph]
Maintainer: Fernando Cordeiro <fernandolpcordeiro@gmail.com>

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Package semTools updated to version 0.5-9 with previous version 0.5-8 dated 2026-02-14

Title: Useful Tools for Structural Equation Modeling
Description: Provides miscellaneous tools for structural equation modeling, many of which extend the 'lavaan' package. For example, latent interactions can be estimated using product indicators (Lin et al., 2010, <doi:10.1080/10705511.2010.488999>) and simple effects probed; analytical power analyses can be conducted (Jak et al., 2021, <doi:10.3758/s13428-020-01479-0>); and scale reliability can be estimated based on estimated factor-model parameters.
Author: Terrence D. Jorgensen [aut, cre] , Sunthud Pornprasertmanit [aut] , Alexander M. Schoemann [aut] , Yves Rosseel [aut] , Patrick Miller [ctb], Corbin Quick [ctb], Mauricio Garnier-Villarreal [ctb] , James Selig [ctb], Aaron Boulton [ctb], Kristopher P [...truncated...]
Maintainer: Terrence D. Jorgensen <TJorgensen314@gmail.com>

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Package parasiteR updated to version 1.1.1 with previous version 1.1 dated 2026-07-12

Title: A Theorical-Practical Approach to Parasitological Data Analysis
Description: Standardizes and streamlines the processing of parasitological data by integrating descriptive analyses of parasite count distributions, automated calculation of parasitological indices and their dispersion measures, and intuitive visualizations for representing these metrics (Bush et al. 1997 <doi:10.2307/3284227>, Reiczigel et al. 2019 <doi:10.1016/j.pt.2019.01.003>).
Author: Exequiel Oscar Furlan [aut] , Juan Manuel Cabrera [aut, cre, cph] , Elisa Helman [aut]
Maintainer: Juan Manuel Cabrera <juan.cabrera@uner.edu.ar>

Diff between parasiteR versions 1.1 dated 2026-07-12 and 1.1.1 dated 2026-07-13

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Package nmfkc updated to version 0.8.8 with previous version 0.8.2 dated 2026-06-14

Title: Non-Negative Matrix Factorization with Kernel Covariates
Description: Performs Non-negative Matrix Factorization (NMF) with Kernel Covariates. Given an observation matrix and kernel covariates, it optimizes both a basis matrix and a parameter matrix. Notably, if the kernel matrix is an identity matrix, the method simplifies to standard NMF. Also provides NMF with Random Effects (NMF-RE) via nmfre(), which estimates a mixed-effects model combining covariate-driven scores with unit-specific random effects together with wild bootstrap inference, and NMF-based Structural Equation Modeling (NMF-SEM) via nmf.sem(), which fits a two-block input-output model for blind source separation and path analysis. References: Satoh (2025) <doi:10.48550/arXiv.2403.05359>; Satoh (2025) <doi:10.48550/arXiv.2510.10375>; Satoh (2025) <doi:10.48550/arXiv.2512.18250>; Satoh (2026) <doi:10.48550/arXiv.2603.01468>; Satoh (2026) <doi:10.1007/s42081-025-00314-0>.
Author: Kenichi Satoh [aut, cre]
Maintainer: Kenichi Satoh <kenichi-satoh@biwako.shiga-u.ac.jp>

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Package longevity updated to version 1.3.1 with previous version 1.3 dated 2026-02-03

Title: Statistical Methods for the Analysis of Excess Lifetimes
Description: A collection of parametric and nonparametric methods for the analysis of survival data, described in <doi:10.32614/RJ-2025-034>. Parametric families implemented include Gompertz-Makeham, exponential and generalized Pareto models and extended models. The package includes an implementation of the nonparametric maximum likelihood estimator for arbitrary truncation and censoring pattern based on Turnbull (1976) <doi:10.1111/j.2517-6161.1976.tb01597.x>, along with graphical goodness-of-fit diagnostics. Parametric models for positive random variables and peaks over threshold models based on extreme value theory are described in Rootzén and Zholud (2017) <doi:10.1007/s10687-017-0305-5>; Belzile et al. (2021) <doi:10.1098/rsos.202097> and Belzile et al. (2022) <doi:10.1146/annurev-statistics-040120-025426>.
Author: Leo Belzile [aut, cre] , Mitchell O'Hara-Wild [ctb]
Maintainer: Leo Belzile <belzilel@gmail.com>

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Package ggmlR updated to version 0.8.1 with previous version 0.7.8 dated 2026-06-04

Title: 'GGML' Tensor Operations for Machine Learning
Description: Provides 'R' bindings to the 'GGML' tensor library for machine learning, optimized for 'Vulkan' GPU acceleration with a transparent CPU fallback. The package features a 'Keras'-like sequential API and a 'PyTorch'-style 'autograd' engine for building, training, and deploying neural networks. Key capabilities include high-performance 5D tensor operations, 'f16' precision, and efficient quantization. It supports native 'ONNX' model import (50+ operators) and 'GGUF' weight loading from the 'llama.cpp' and 'Hugging Face' ecosystems. Designed for zero-overhead inference via dedicated weight buffering, it integrates seamlessly as a 'parsnip' engine for 'tidymodels' and provides first-class learners for the 'mlr3' framework. See <https://github.com/ggml-org/ggml> for more information about the underlying library.
Author: Yuri Baramykov [aut, cre] , Georgi Gerganov [ctb, cph] , Jeffrey Quesnelle [ctb, cph] , Bowen Peng [ctb, cph] , Mozilla Foundation [ctb, cph]
Maintainer: Yuri Baramykov <lbsbmsu@mail.ru>

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Package blackmarbler updated to version 0.2.7 with previous version 0.2.5 dated 2025-07-29

Title: Black Marble Data and Statistics
Description: Geographically referenced data and statistics of nighttime lights from NASA Black Marble <https://blackmarble.gsfc.nasa.gov/>.
Author: Robert Marty [aut, cre] , Gabriel Stefanini Vicente [aut]
Maintainer: Robert Marty <rmarty@worldbank.org>

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Package apsimx updated to version 2.8.271 with previous version 2.8.270 dated 2026-06-27

Title: Inspect, Read, Edit and Run 'APSIM' "Next Generation" and 'APSIM' Classic
Description: The functions in this package inspect, read, edit and run files for 'APSIM' "Next Generation" ('JSON') and 'APSIM' "Classic" ('XML'). The files with an 'apsim' extension correspond to 'APSIM' Classic (7.x) - Windows only - and the ones with an 'apsimx' extension correspond to 'APSIM' "Next Generation". For more information about 'APSIM' see (<https://www.apsim.info/>) and for 'APSIM' next generation (<https://apsimnextgeneration.netlify.app/>).
Author: Fernando Miguez [aut, cre]
Maintainer: Fernando Miguez <femiguez@iastate.edu>

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Package stepwedgepower updated to version 0.1.3 with previous version 0.1.0 dated 2026-07-10

Title: Stepped-Wedge Clinical Trial Analysis and Power Simulation
Description: Provides reusable functions for aggregated cluster-period data, mixed-effects analysis, and simulation-based power and type I error evaluation in stepped-wedge cluster randomized trials. The design and mixed-effects analysis follow Hussey and Hughes (2007) <doi:10.1016/j.cct.2006.05.007>. Intraclass correlations for binary outcomes are converted to logistic-normal random-intercept standard deviations following Eldridge, Ukoumunne and Carlin (2009) <doi:10.1111/j.1751-5823.2009.00092.x>. Monte Carlo uncertainty in estimated power is summarized using the exact binomial interval of Clopper and Pearson (1934) <doi:10.1093/biomet/26.4.404>. The simulation engine supports sequence-specific baseline risks, cluster random effects, direct intraclass-correlation specification, Monte Carlo uncertainty intervals, and model-fitting diagnostics. Applied physician and specialty helpers are retained for backward compatibility and for an example health-services workflow.
Author: Lin Li [aut, cre], Florin Vaida [aut]
Maintainer: Lin (Amanda) Li <amandali14124277@gmail.com>

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Package RCPA updated to version 0.2.9 with previous version 0.2.8 dated 2025-09-15

Title: Consensus Pathway Analysis
Description: Provides a set of functions to perform pathway analysis and meta-analysis from multiple gene expression datasets, as well as visualization of the results. This package wraps functionality from the following packages: Ritchie et al. (2015) <doi:10.1093/nar/gkv007>, Love et al. (2014) <doi:10.1186/s13059-014-0550-8>, Robinson et al. (2010) <doi:10.1093/bioinformatics/btp616>, Korotkevich et al. (2016) <arxiv:10.1101/060012>, Efron et al. (2015) <https://CRAN.R-project.org/package=GSA>, and Gu et al. (2012) <https://CRAN.R-project.org/package=CePa>.
Author: Ha Nguyen [aut, cre], Phi Bya [aut], Zeynab Maghsoudi [aut], Tin Nguyen [fnd]
Maintainer: Ha Nguyen <hvn0006@wayne.edu>

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Package OLSengine updated to version 1.1.0 with previous version 1.0.0 dated 2026-05-14

Title: Transparent and Assisted Linear Modeling Engine
Description: Unified estimation, diagnostics, and reporting for ordinary least squares (OLS) regression, ANOVA/t-tests, logistic regression, panel data (fixed/random effects with Hausman test), instrumental variables (2SLS with weak instrument diagnostics), and difference-in-differences. Designed for applied researchers in social sciences with integrated "Methodological Customs" that audit assumptions and provide literature references. All methods implemented in pure base R without external dependencies beyond stats and graphics packages.
Author: Manuel Soto-Perez [aut, cre]
Maintainer: Manuel Soto-Perez <msoto@up.edu.mx>

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Package nVennR2 updated to version 2.0.3 with previous version 2.0.2 dated 2026-07-10

Title: An Interface to 'nVenn2'
Description: Creates quasi-proportional Venn diagrams with an arbitrary number of sets. It is related to the old 'nVennR' package, but the algorithm and use have been reworked.
Author: Victor Quesada [aut, cre, cph]
Maintainer: Victor Quesada <quesadavictor@uniovi.es>

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Package MSTest updated to version 0.1.9 with previous version 0.1.8 dated 2026-01-09

Title: Hypothesis Testing for Markov Switching Models
Description: Implementation of hypothesis testing procedures described in Hansen (1992) <doi:10.1002/jae.3950070506>, Carrasco, Hu, & Ploberger (2014) <doi:10.3982/ECTA8609>, Dufour & Luger (2017) <doi:10.1080/07474938.2017.1307548>, and Rodriguez-Rondon & Dufour (2026a) <doi:10.34989/swp-2026-23> that can be used to identify the number of regimes in Markov switching models. For a detailed description of the package, see Rodriguez-Rondon & Dufour (2026b) <doi:10.34989/swp-2026-7>.
Author: Gabriel Rodriguez-Rondon [cre, aut] , Jean-Marie Dufour [aut]
Maintainer: Gabriel Rodriguez-Rondon <gabrodriguezrondon@gmail.com>

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Package ellmer updated to version 0.4.2 with previous version 0.4.1 dated 2026-05-07

Title: Chat with Large Language Models
Description: Chat with large language models from a range of providers including 'Claude' <https://claude.ai>, 'OpenAI' <https://chatgpt.com>, and more. Supports streaming, asynchronous calls, tool calling, and structured data extraction.
Author: Hadley Wickham [aut, cre] , Joe Cheng [aut], Aaron Jacobs [aut], Garrick Aden-Buie [aut] , Barret Schloerke [aut] , Posit Software, PBC [cph, fnd]
Maintainer: Hadley Wickham <hadley@posit.co>

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Package DataSum updated to version 1.0.0 with previous version 0.1.1 dated 2025-11-12

Title: Modern Data Summaries and Diagnostic Reports for Statistical Analysis
Description: Provides robust, NA-aware data summaries, variable diagnostics, normality decisions, missingness and outlier checks, and reproducible diagnostic report scaffolding for statistical analysis. DataSum is designed for researchers, professors, scientists, and analysts who need trustworthy first-pass insight into tabular data before modeling or publication.
Author: Uzair Javid Khan [aut, cre], Immad Ahmad Shah [aut], Sukhdev Mishra [aut]
Maintainer: Uzair Javid Khan <uzairkhan11w@gmail.com>

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Package weyl updated to version 0.0-8 with previous version 0.0-7 dated 2025-04-08

Title: The Weyl Algebra
Description: A suite of routines for Weyl algebras. Notation follows Coutinho (1995, ISBN 0-521-55119-6, "A Primer of Algebraic D-Modules"). Uses 'disordR' discipline (Hankin 2022 <doi:10.48550/arXiv.2210.03856>). To cite the package in publications, use Hankin 2022 <doi:10.48550/arXiv.2212.09230>.
Author: Robin K. S. Hankin [aut, cre]
Maintainer: Robin K. S. Hankin <hankin.robin@gmail.com>

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Package SuperExactTest updated to version 1.2.0 with previous version 1.1.0 dated 2022-03-25

Title: Exact Test and Visualization of Multi-Set Intersections
Description: Identification of sets of objects with shared features is a common operation in all disciplines. Analysis of intersections among multiple sets is fundamental for in-depth understanding of their complex relationships. This package implements a theoretical framework for efficient computation of statistical distributions of multi-set intersections based upon combinatorial theory, and provides multiple scalable techniques for visualizing the intersection statistics. The statistical algorithm behind this package was published in Wang et al. (2015) <doi:10.1038/srep16923>.
Author: Minghui Wang [aut, cre], Yongzhong Zhao [aut], Bin Zhang [aut]
Maintainer: Minghui Wang <minghui.wang@mssm.edu>

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Package spider updated to version 1.5.3 with previous version 1.5.2 dated 2026-04-04

Title: Species Identity and Evolution in R
Description: Analysis of species limits and DNA barcoding data. Included are functions for generating important summary statistics from DNA barcode data, assessing specimen identification efficacy, testing and optimizing divergence threshold limits, assessment of diagnostic nucleotides, and calculation of the probability of reciprocal monophyly. Additionally, a sliding window function offers opportunities to analyse information across a gene, often used for marker design in degraded DNA studies. Further information on the package has been published in Brown et al (2012) <doi:10.1111/j.1755-0998.2011.03108.x>.
Author: Samuel Brown [aut], Stephane Boyer [aut], Marie-Caroline Lefort [aut], Jagoba Malumbres-Olarte [aut], Cor Vink [aut], Rob Cruickshank [aut], Rupert A. Collins [aut, cre, cph]
Maintainer: Rupert A. Collins <rupertcollins@gmail.com>

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

Title: Power Fuzzy Clustering and Cluster-Wise Regression
Description: Implementations of Power Fuzzy Clustering (PFC) and Power Fuzzy Cluster-wise Regression (PFCR) for multivariate data. The package supports Minkowski distances, with the L1 case solved via iteratively re-weighted least squares and the case p > 1 solved via coordinate-wise root finding, as well as an adaptive, regularised Mahalanobis distance with per-cluster covariance matrices. Both plain fuzzy clustering and cluster-wise linear regression are provided. The corresponding paper can be found at Nguyen P.T., Tortora C., and Punzo A. (2026) <doi:10.1109/TFUZZ.2026.3683998>.
Author: Phuc Thinh Nguyen [aut, cre], Cristina Tortora [aut, ths, dgs], Antonio Punzo [aut, ths, dgs]
Maintainer: Phuc Thinh Nguyen <phucthinh010603@yahoo.com>

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Package httr2 updated to version 1.3.0 with previous version 1.2.3 dated 2026-06-23

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 PRTree updated to version 1.1.0 with previous version 1.0.3 dated 2026-02-18

Title: Probabilistic Regression Trees
Description: Implementation of Probabilistic Regression Trees (PRTree), providing functions for model fitting and prediction, with specific adaptations to handle missing values. The main computations are implemented in 'Fortran' for high efficiency. The package is based on the PRTree methodology described in Alkhoury et al. (2020), "Smooth and Consistent Probabilistic Regression Trees" <https://proceedings.neurips.cc/paper_files/paper/2020/file/8289889263db4a40463e3f358bb7c7a1-Paper.pdf>. Details on the treatment of missing data and implementation aspects are presented in Prass, T.S.; Neimaier, A.S.; Pumi, G. (2025), "Handling Missing Data in Probabilistic Regression Trees: Methods and Implementation in R" <doi:10.48550/arXiv.2510.03634>.
Author: Taiane Schaedler Prass [aut, ths, cre] , Alisson Silva Neimaier [aut]
Maintainer: Taiane Schaedler Prass <taianeprass@gmail.com>

Diff between PRTree versions 1.0.3 dated 2026-02-18 and 1.1.0 dated 2026-07-13

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Package bayesics updated to version 3.0.0 with previous version 2.1.1 dated 2026-03-11

Title: Bayesian Analyses for One- and Two-Sample Inference and Regression Methods
Description: Perform fundamental analyses using Bayesian parametric and non-parametric inference (regression, anova, 1 and 2 sample inference, non-parametric tests, etc.). (Practically) no Markov chain Monte Carlo (MCMC) is used; all exact finite sample inference is completed via closed form solutions or else through posterior sampling automated to ensure precision in interval estimate bounds. Diagnostic plots for model assessment, and key inferential quantities (point and interval estimates, probability of direction, region of practical equivalence, and Bayes factors) and model visualizations are provided. Bayes factors are computed either by the Savage Dickey ratio given in Dickey (1971) <doi:10.1214/aoms/1177693507> or by Chib's method as given in <doi:10.1080/01621459.1995.10476635>. Interpretations are from Kass and Raftery (1995) <doi:10.1080/01621459.1995.10476572>. ROPE bounds are based on discussions in Kruschke (2018) <doi:10.1177/2515245918771304>. Methods for d [...truncated...]
Author: Daniel K. Sewell [aut, cre, cph] , Alan Arakkal [aut]
Maintainer: Daniel K. Sewell <daniel-sewell@uiowa.edu>

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Package accbaseballr updated to version 0.1.4 with previous version 0.1.3 dated 2026-05-28

Title: ACC Baseball Datasets with Advanced Sabermetric Metrics
Description: Provides curated ACC (Atlantic Coast Conference) baseball datasets at the player-season level, including traditional statistics and advanced sabermetric metrics such as weighted on-base average (wOBA), weighted runs created plus (wRC+), and fielding-independent pitching (FIP).
Author: Hana Baskin [aut, cre, cph]
Maintainer: Hana Baskin <hana.baskin@gmail.com>

Diff between accbaseballr versions 0.1.3 dated 2026-05-28 and 0.1.4 dated 2026-07-13

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Package gbm3 updated to version 3.0.2 with previous version 3.0.1 dated 2026-05-13

Title: Generalized Boosted Regression Models
Description: Extensions to Freund and Schapire's AdaBoost algorithm, Y. Freund and R. Schapire (1997) <doi:10.1006/jcss.1997.1504> and Friedman's gradient boosting machine, J.H. Friedman (2001) <doi:10.1214/aos/1013203451>. Includes regression methods for least squares, absolute loss, t-distribution loss, quantile regression, logistic, Poisson, Cox proportional hazards partial likelihood, AdaBoost exponential loss, Huberized hinge loss, and Learning to Rank measures (LambdaMART).
Author: James Hickey [aut], Paul Metcalfe [aut], Greg Ridgeway [aut, cre], Stefan Schroedl [aut], Harry Southworth [aut], Terry Therneau [aut]
Maintainer: Greg Ridgeway <gridge@upenn.edu>

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Package extraDistr updated to version 1.10.0.5 with previous version 1.10.0.4 dated 2026-05-18

Title: Additional Univariate and Multivariate Distributions
Description: Density, distribution function, quantile function and random generation for a number of univariate and multivariate distributions. This package implements the following distributions: Bernoulli, beta-binomial, beta-negative binomial, beta prime, Bhattacharjee, Birnbaum-Saunders, bivariate normal, bivariate Poisson, categorical, Dirichlet, Dirichlet-multinomial, discrete gamma, discrete Laplace, discrete normal, discrete uniform, discrete Weibull, Frechet, gamma-Poisson, generalized extreme value, Gompertz, generalized Pareto, Gumbel, half-Cauchy, half-normal, half-t, Huber density, inverse chi-squared, inverse-gamma, Kumaraswamy, Laplace, location-scale t, logarithmic, Lomax, multivariate hypergeometric, multinomial, negative hypergeometric, non-standard beta, normal mixture, Poisson mixture, Pareto, power, reparametrized beta, Rayleigh, shifted Gompertz, Skellam, slash, triangular, truncated binomial, truncated normal, truncated Poisson, Tukey lambda, Wald, zero-inflated binomial, zer [...truncated...]
Author: Tymoteusz Wolodzko [aut], Sigbert Klinke [cre], Thomas Farrar [ctb], Piero Giovanni Luca Porta-Mana [ctb]
Maintainer: Sigbert Klinke <sigbert@wiwi.hu-berlin.de>

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Package amregtest updated to version 1.2.0 with previous version 1.1.0 dated 2026-07-04

Title: Runs Allelematch Regression Tests
Description: Automates regression testing of package 'allelematch'. Over 2500 tests cover all functions in 'allelematch', reproduce the examples from the documentation, and include negative tests. The implementation is based on 'testthat'.
Author: Department of Wildlife, Fish and Environmental Studies at Swedish University of Agricultural Sciences [cph], Goeran Spong [cph] , Paul Galpern [ctb] , Torvald Staxler [aut, cre]
Maintainer: Torvald Staxler <torvald.staxler@telia.com>

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Package aws updated to version 2.5-7 with previous version 2.5-6 dated 2024-09-30

Title: Adaptive Weights Smoothing
Description: We provide a collection of R-functions implementing adaptive smoothing procedures in 1D, 2D and 3D. This includes the Propagation-Separation Approach to adaptive smoothing, the Intersecting Confidence Intervals (ICI), variational approaches and a non-local means filter. The package is described in detail in Polzehl J, Papafitsoros K, Tabelow K (2020). Patch-Wise Adaptive Weights Smoothing in R. Journal of Statistical Software, 95(6), 1-27. <doi:10.18637/jss.v095.i06>, Usage of the package in MR imaging is illustrated in Polzehl and Tabelow (2023), Magnetic Resonance Brain Imaging, 2nd Ed. Appendix A, Springer, Use R! Series. <doi:10.1007/978-3-031-38949-8>.
Author: Joerg Polzehl [aut, cre], Felix Anker [ctb]
Maintainer: Joerg Polzehl <joerg.polzehl@wias-berlin.de>

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Package PSinference updated to version 1.0.0 with previous version 0.2.2 dated 2024-12-10

Title: Inference for Released Plug-in Sampling Synthetic Dataset
Description: Considering the singly imputed synthetic data generated via plug-in sampling under the multivariate normal model, draws inference procedures including the generalized variance, the sphericity test, the test for independence between two subsets of variables, and the test for the regression of one set of variables on the other. For more details see Klein et al. (2021) <doi:10.1007/s13571-019-00215-9>.
Author: Vitor Augusto [aut] , Mina Norouzirad [aut] , Miguel Fonseca [ctb] , Ricardo Moura [aut, cre, cph] , FCT, I.P. [fnd] )
Maintainer: Ricardo Moura <rp.moura@fct.unl.pt>

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Package shrinkTVP updated to version 3.1.2 with previous version 3.1.1 dated 2026-01-08

Title: Efficient Bayesian Inference for Time-Varying Parameter Models with Shrinkage
Description: Efficient Markov chain Monte Carlo (MCMC) algorithms for fully Bayesian estimation of time-varying parameter models with shrinkage priors, both dynamic and static. Details on the algorithms used are provided in Bitto and Frühwirth-Schnatter (2019) <doi:10.1016/j.jeconom.2018.11.006> and Cadonna et al. (2020) <doi:10.3390/econometrics8020020> and Knaus and Frühwirth-Schnatter (2023) <doi:10.48550/arXiv.2312.10487>. For details on the package, please see Knaus et al. (2021) <doi:10.18637/jss.v100.i13>. For the multivariate extension, see the 'shrinkTVPVAR' package.
Author: Peter Knaus [aut, cre] , Angela Bitto-Nemling [aut], Annalisa Cadonna [aut] , Sylvia Fruehwirth-Schnatter [aut] , Daniel Winkler [ctb], Kemal Dingic [ctb]
Maintainer: Peter Knaus <peter.knaus@wu.ac.at>

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Package permutations updated to version 1.1-9-1 with previous version 1.1-6 dated 2025-02-11

Title: The Symmetric Group: Permutations of a Finite Set
Description: Manipulates invertible functions from a finite set to itself. Can transform from word form to cycle form and back. To cite the package in publications please use Hankin (2020) "Introducing the permutations R package", SoftwareX, volume 11 <doi:10.1016/j.softx.2020.100453>.
Author: Robin K. S. Hankin [aut, cre] , Paul Egeler [ctb]
Maintainer: Robin K. S. Hankin <hankin.robin@gmail.com>

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Package jmvReadWrite updated to version 0.4.14 with previous version 0.4.13 dated 2026-04-27

Title: Read and Write 'jamovi' Files ('.omv')
Description: The free and open a statistical spreadsheet 'jamovi' (<https://www.jamovi.org>) aims to make statistical analyses easy and intuitive. 'jamovi' produces syntax that can directly be used in R (in connection with the R-package 'jmv'). Having import / export routines for the data files 'jamovi' produces ('.omv') permits an easy transfer of data and analyses between 'jamovi' and R.
Author: Sebastian Jentschke [aut, cre, cph]
Maintainer: Sebastian Jentschke <sebastian.jentschke@uib.no>

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Package VARcheck updated to version 0.1.1 with previous version 0.1.0 dated 2026-05-19

Title: Visual Diagnostic Checks for Vector Autoregressive Models
Description: Provides model-agnostic visual diagnostics for vector autoregressive (VAR) models. Given empirical data, model predictions, residuals, and optionally simulated data, the package assembles a multi-panel diagnostic grid: empirical vs. predicted time series, residual inspection, residuals vs. predictions scatter, and posterior predictive style checks via simulated trajectories. Output is a 'patchwork' object composed of 'ggplot2' plots, allowing further customisation via standard 'ggplot2' theme calls. Follows the approach described in Haslbeck et al. (2026) <doi:10.31234/osf.io/k6uz4_v3>.
Author: Bjoern S. Siepe [aut, cre, cph] , Jonas M. B. Haslbeck [aut]
Maintainer: Bjoern S. Siepe <bjoernsiepe+software@gmail.com>

Diff between VARcheck versions 0.1.0 dated 2026-05-19 and 0.1.1 dated 2026-07-13

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Package hcinfer updated to version 0.1.1 with previous version 0.1.0 dated 2026-06-10

Title: Heteroskedasticity-Consistent Inference for Linear Models
Description: Computes heteroskedasticity-consistent covariance matrix estimators for ordinary least squares regression models. The published HC0 through HC5m estimators implemented in the package follow White (1980) <doi:10.2307/1912934>, Hinkley (1977) <doi:10.1080/00401706.1977.10489550>, Horn et al. (1975) <doi:10.1080/01621459.1975.10479877>, MacKinnon and White (1985) <doi:10.1016/0304-4076(85)90158-7>, Cribari-Neto (2004) <doi:10.1016/S0167-9473(02)00366-3>, Cribari-Neto and da Silva (2011) <doi:10.1007/s10182-010-0141-2>, Cribari-Neto et al. (2007) <doi:10.1080/03610920601126589>, and Li et al. (2016) <doi:10.1080/00949655.2016.1198906>. The package also includes HCbeta, a new estimator proposed by the package authors. It provides normal Wald tests, confidence intervals, diagnostics, and S3 output for applied inference.
Author: Pedro Rafael D. Marinho [aut, cre] , Francisco Cribari-Neto [aut] , Marina Oliveira Cunha [aut]
Maintainer: Pedro Rafael D. Marinho <pedro.rafael.marinho@gmail.com>

Diff between hcinfer versions 0.1.0 dated 2026-06-10 and 0.1.1 dated 2026-07-13

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Package gpboost updated to version 1.7.0.1 with previous version 1.7.0 dated 2026-07-10

Title: Combining Tree-Boosting with Gaussian Process and Mixed Effects Models
Description: An R package that allows for combining tree-boosting with Gaussian process and mixed effects models. It also allows for independently doing tree-boosting as well as inference and prediction for Gaussian process and mixed effects models. See <https://github.com/fabsig/GPBoost> for more information on the software and Sigrist (2022, JMLR) <https://www.jmlr.org/papers/v23/20-322.html> and Sigrist (2023, TPAMI) <doi:10.1109/TPAMI.2022.3168152> for more information on the methodology.
Author: Fabio Sigrist [aut, cre], Tim Gyger [aut], Pascal Kuendig [aut], Benoit Jacob [cph], Gael Guennebaud [cph], Nicolas Carre [cph], Pierre Zoppitelli [cph], Gauthier Brun [cph], Jean Ceccato [cph], Jitse Niesen [cph], Other authors of Eigen for the incl [...truncated...]
Maintainer: Fabio Sigrist <fabiosigrist@gmail.com>

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Package duawranglr updated to version 0.6.8 with previous version 0.6.7 dated 2021-04-15

Title: Securely Wrangle Dataset According to Data Usage Agreement
Description: Create shareable data sets from raw data files that contain protected elements. Relying on master crosswalk files that list restricted variables, package functions warn users about possible violations of data usage agreement and prevent writing protected elements.
Author: Benjamin Skinner [aut, cre]
Maintainer: Benjamin Skinner <ben@btskinner.io>

Diff between duawranglr versions 0.6.7 dated 2021-04-15 and 0.6.8 dated 2026-07-13

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Package ctsem updated to version 3.11.1 with previous version 3.11.0 dated 2026-06-30

Title: Continuous Time Structural Equation Modelling
Description: Hierarchical continuous (and discrete) time state space modelling, for linear and nonlinear systems measured by continuous variables, with limited support for binary data. The subject specific dynamic system is modelled as a stochastic differential equation (SDE) or difference equation, measurement models are typically multivariate normal factor models. Linear mixed effects SDE's estimated via maximum likelihood and optimization are the default. Nonlinearities, (state dependent parameters) and random effects on all parameters are possible, using either max likelihood / max a posteriori optimization (with optional importance sampling) or Stan's Hamiltonian Monte Carlo sampling. See <https://github.com/cdriveraus/ctsem/raw/master/vignettes/hierarchicalmanual.pdf> for details. See <https://osf.io/preprints/psyarxiv/4q9ex_v2> for a detailed tutorial. Priors may be used. For the conceptual overview of the hierarchical Bayesian linear SDE approach, see <https://www.research [...truncated...]
Author: Charles Driver [aut, cre, cph], Manuel Voelkle [aut, cph], Han Oud [aut, cph], Trustees of Columbia University [cph]
Maintainer: Charles Driver <charles.driver2@uzh.ch>

Diff between ctsem versions 3.11.0 dated 2026-06-30 and 3.11.1 dated 2026-07-13

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More information about ctsem at CRAN
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Package breathtestcore updated to version 0.8.11 with previous version 0.8.10 dated 2025-10-28

Title: Core Functions to Read and Fit 13c Time Series from Breath Tests
Description: Reads several formats of 13C data (IRIS/Wagner, BreathID) and CSV. Creates artificial sample data for testing. Fits Maes/Ghoos, Bluck-Coward self-correcting formula using 'nls', 'nlme'. Methods to fit breath test curves with Bayesian Stan methods are refactored to package 'breathteststan'. For a Shiny GUI, see package 'dmenne/breathtestshiny' on github.
Author: Dieter Menne [aut, cre], Menne Biomed Consulting Tuebingen [cph], Benjamin Misselwitz [fnd], Mark Fox [fnd], Andreas Steingoetter [dtc], University Hospital of Zurich, Dep. Gastroenterology [fnd, dtc]
Maintainer: Dieter Menne <dieter.menne@menne-biomed.de>

Diff between breathtestcore versions 0.8.10 dated 2025-10-28 and 0.8.11 dated 2026-07-13

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More information about breathtestcore at CRAN
Permanent link

Package rush updated to version 1.2.0 with previous version 1.1.0 dated 2026-04-24

Title: Rapid Asynchronous and Distributed Computing
Description: Package to tackle large-scale problems asynchronously across a distributed network. Employing a database centric model, rush enables workers to communicate tasks and their results over a shared 'Redis' database. Key features include low task overhead, efficient caching, and robust error handling. The package powers the asynchronous optimization algorithms in the 'bbotk' and 'mlr3tuning' packages.
Author: Marc Becker [cre, aut, cph]
Maintainer: Marc Becker <marcbecker@posteo.de>

Diff between rush versions 1.1.0 dated 2026-04-24 and 1.2.0 dated 2026-07-13

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Package remify updated to version 4.1.0 with previous version 4.0.0 dated 2026-05-04

Title: Processing and Transforming Relational Event History Data
Description: Efficiently processes relational event history data and transforms them into formats suitable for other packages. The primary objective of this package is to convert event history data into a format that integrates with the packages in 'remverse' and is compatible with various analytical tools (e.g., computing network statistics, estimating tie-oriented or actor-oriented social network models). Second, it can also transform the data into formats compatible with other packages out of 'remverse'. The package processes the data for two types of temporal social network models: tie-oriented modeling framework (Butts, C., 2008, <doi:10.1111/j.1467-9531.2008.00203.x>) and actor-oriented modeling framework (Stadtfeld, C., & Block, P., 2017, <doi:10.15195/v4.a14>).
Author: Giuseppe Arena [aut, cre] , Joris Mulder [aut], Rumana Lakdawala [ctb], Marlyne Meijerink-Bosman [ctb], Diana Karimova [ctb], Fabio Generoso Vieira [ctb], Mahdi Shafiee Kamalabad [ctb], Roger Leenders [ctb]
Maintainer: Giuseppe Arena <g.arena@uva.nl>

Diff between remify versions 4.0.0 dated 2026-05-04 and 4.1.0 dated 2026-07-13

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Package heaping updated to version 0.2.0 with previous version 0.1.0 dated 2026-02-09

Title: Correction of Heaping on Individual Level
Description: Provides methods for correcting heaping (digit preference) in survey data at the individual record level. Age heaping, where respondents disproportionately report ages ending in 0 or 5, is a common phenomenon that can distort demographic analyses. Unlike traditional smoothing methods that only correct aggregated statistics, this package corrects individual values by replacing a calculated proportion of heaped observations with draws from fitted truncated distributions (log-normal, normal, or uniform). Supports 5-year and 10-year heaping patterns, single heap correction, survey weights, and optional covariate-conditional (model-based) correction via quantile regression forests or linear models to preserve relationships. A multiple-imputation wrapper repeats the correction to propagate the added uncertainty into downstream inference.
Author: Matthias Templ [aut, cre] , Bernhard Meindl [ctb]
Maintainer: Matthias Templ <matthias.templ@gmail.com>

Diff between heaping versions 0.1.0 dated 2026-02-09 and 0.2.0 dated 2026-07-13

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Package FuzzySTs updated to version 0.5 with previous version 0.4 dated 2025-07-31

Title: Fuzzy Statistical Tools
Description: The main goal of this package is to present various fuzzy statistical tools. It intends to provide an implementation of the theoretical and empirical approaches presented in the book entitled "The signed distance measure in fuzzy statistical analysis. Some theoretical, empirical and programming advances" <doi: 10.1007/978-3-030-76916-1>. For the theoretical approaches, see Berkachy R. and Donze L. (2019) <doi:10.1007/978-3-030-03368-2_1>. For the empirical approaches, see Berkachy R. and Donze L. (2016) <ISBN: 978-989-758-201-1>). Important (non-exhaustive) implementation highlights of this package are as follows: (1) a numerical procedure to estimate the fuzzy difference and the fuzzy square. (2) two numerical methods of fuzzification. (3) a function performing different possibilities of distances, including the signed distance and the generalized signed distance for instance with all its properties. (4) numerical estimations of fuzzy statistical measures such as the [...truncated...]
Author: Redina Berkachy [aut, cre] , Laurent Donze [aut]
Maintainer: Redina Berkachy <redina.berkachy@hefr.ch>

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Package CDCPLACES updated to version 1.2.2 with previous version 1.2.1 dated 2026-05-22

Title: Access the 'CDC PLACES' API
Description: Allows users to seamlessly query several 'CDC PLACES' APIs (<https://data.cdc.gov/browse?q=PLACES%20&sortBy=relevance>) by geography, state, measure, and release year. This package also contains a function to explore the available measures for each release year.
Author: Brenden Smith [aut, cre]
Maintainer: Brenden Smith <smit2535@msu.edu>

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Package bpbounds updated to version 0.1.8 with previous version 0.1.7 dated 2026-05-24

Title: Nonparametric Bounds for the Average Causal Effect Due to Balke and Pearl and Extensions
Description: Implementation of the nonparametric bounds for the average causal effect under an instrumental variable model by Balke and Pearl (Bounds on Treatment Effects from Studies with Imperfect Compliance, JASA, 1997, 92, 439, 1171-1176, <doi:10.1080/01621459.1997.10474074>). The package can calculate bounds for a binary outcome, a binary treatment/phenotype, and an instrument with either 2 or 3 categories. The package implements bounds for situations where these 3 variables are measured in the same dataset (trivariate data) or where the outcome and instrument are measured in one study and the treatment/phenotype and instrument are measured in another study (bivariate data).
Author: Tom Palmer [aut, cre] , Roland Ramsahai [aut] , Vanessa Didelez [aut] , Nuala Sheehan [aut]
Maintainer: Tom Palmer <remlapmot@hotmail.com>

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Package blockr.dock updated to version 0.1.2 with previous version 0.1.1 dated 2026-04-29

Title: A Docking Layout Manager for 'blockr'
Description: Building on the docking layout manager provided by 'dockViewR', this provides a flexible front-end to 'blockr.core'. It provides an extension mechanism which allows for providing means to manipulate a board object via panel-based user interface components.
Author: Nicolas Bennett [aut, cre], David Granjon [aut]
Maintainer: Nicolas Bennett <nicolas@cynkra.com>

Diff between blockr.dock versions 0.1.1 dated 2026-04-29 and 0.1.2 dated 2026-07-13

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Package PTSDdiag updated to version 0.4.1 with previous version 0.1.0 dated 2026-02-13

Title: Optimize PTSD Diagnostic Criteria
Description: Provides tools for analyzing and optimizing PTSD (Post-Traumatic Stress Disorder) diagnostic criteria using PCL-5 (PTSD Checklist for DSM-5) and CAPS-5 (Clinician-Administered PTSD Scale for DSM-5) data. Functions identify optimal subsets of PCL-5 items that maintain diagnostic accuracy while reducing assessment burden. Includes tools for both hierarchical (cluster-based) and non-hierarchical symptom combinations, calculation of diagnostic metrics, and comparison with standard DSM-5 criteria. Model validation is conducted using holdout and cross-validation methods to assess robustness and generalizability of the results. For more details see Weidmann et al. (2025) <doi:10.31219/osf.io/6rk72_v1>.
Author: Laura Weidmann [aut] , Tobias R. Spiller [aut, cre] , Flavio A. Schueepp [aut]
Maintainer: Tobias R. Spiller <tobias.spiller@access.uzh.ch>

Diff between PTSDdiag versions 0.1.0 dated 2026-02-13 and 0.4.1 dated 2026-07-13

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Package MNP updated to version 3.1-6 with previous version 3.1-5 dated 2024-06-20

Title: Fitting the Multinomial Probit Model
Description: Fits the Bayesian multinomial probit model via Markov chain Monte Carlo. The multinomial probit model is often used to analyze the discrete choices made by individuals recorded in survey data. Examples where the multinomial probit model may be useful include the analysis of product choice by consumers in market research and the analysis of candidate or party choice by voters in electoral studies. The MNP package can also fit the model with different choice sets for each individual, and complete or partial individual choice orderings of the available alternatives from the choice set. The estimation is based on the efficient marginal data augmentation algorithm that is developed by Imai and van Dyk (2005). "A Bayesian Analysis of the Multinomial Probit Model Using the Data Augmentation." Journal of Econometrics, Vol. 124, No. 2 (February), pp. 311-334. <doi:10.1016/j.jeconom.2004.02.002> Detailed examples are given in Imai and van Dyk (2005). "MNP: R Package for Fitting the Multi [...truncated...]
Author: Kosuke Imai [aut, cre], David van Dyk [aut], Hubert Jin [ctb]
Maintainer: Kosuke Imai <imai@harvard.edu>

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Package cNORM updated to version 3.6.1 with previous version 3.6.0 dated 2026-06-17

Title: Continuous Norming
Description: Generates continuous test norms in psychometrics and biometrics, and analyzing model fit. The package offers both distribution-free modeling using Taylor polynomials and parametric modeling using the beta-binomial and the 'Sinh-Arcsinh' distribution. Originally developed for achievement tests, it is applicable to a wide range of mental, physical, or other test scores dependent on continuous or discrete explanatory variables. The package provides several advantages: It minimizes deviations from representativeness in subsamples, interpolates between discrete levels of explanatory variables, and significantly reduces the required sample size compared to conventional norming per age group. cNORM enables graphical and analytical evaluation of model fit, accommodates a wide range of scales including those with negative and descending values, and as well supports conventional norming. It generates norm tables including confidence intervals. Methods for addressing representativeness issues are [...truncated...]
Author: Alexandra Lenhard [aut] , Wolfgang Lenhard [cre, aut] , Sebastian Gary [aut], WPS Publisher [fnd]
Maintainer: Wolfgang Lenhard <wolfgang.lenhard@uni-wuerzburg.de>

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Package clinpubr updated to version 1.4.1 with previous version 1.4.0 dated 2026-05-24

Title: Clinical Publication
Description: Accelerate the process from clinical data to medical publication, including clinical data cleaning, significant result screening, and the generation of publish-ready tables and figures.
Author: Yue Niu [aut, cre, cph] , Keyun Wang [aut]
Maintainer: Yue Niu <niuyuesam@163.com>

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Package bnlearn updated to version 5.2 with previous version 5.1 dated 2025-08-20

Title: Bayesian Network Structure Learning, Parameter Learning and Inference
Description: Bayesian network structure learning, parameter learning and inference. This package implements constraint-based (PC, GS, IAMB, Inter-IAMB, MMPC, Hiton-PC, HPC), pairwise (ARACNE and Chow-Liu), score-based (Hill-Climbing, Tabu Search, DirectLiNGAM) and hybrid (MMHC, RSMAX2, H2PC) structure learning algorithms for discrete, Gaussian, conditional Gaussian and zero-inflated networks, along with many score functions and conditional independence tests. The Naive Bayes and the Tree-Augmented Naive Bayes (TAN) classifiers are also implemented. Some utility functions (model comparison and manipulation, random data generation, arc orientation testing, simple and advanced plots) are included, as well as support for parameter estimation (maximum likelihood and Bayesian) and inference, conditional probability queries, interventions, counterfactuals, cross-validation, bootstrap and model averaging. Development snapshots with the latest bugfixes are available from <https://www.bnlearn.com/>.
Author: Marco Scutari [aut, cre], Tomi Silander [ctb]
Maintainer: Marco Scutari <scutari@bnlearn.com>

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More information about bnlearn at CRAN
Permanent link

Package BKP updated to version 0.3.1 with previous version 0.3.0 dated 2026-07-02

Title: Beta Kernel Process Modeling
Description: Implements the Beta Kernel Process (BKP) for nonparametric modeling of covariate-dependent binomial probabilities, and the Dirichlet Kernel Process (DKP) for categorical or multinomial response data. Scalable global-local approximations are provided through TwinBKP and TwinDKP, using twinning-selected global subsets and local nearest-neighbour updates. Functions are included for model fitting, predictive inference with uncertainty quantification, posterior simulation, and visualization in one- and two-dimensional input spaces. Gaussian, Matern 5/2, Matern 3/2, and Wendland kernels are supported, with hyperparameters selected by multi-start derivative-free optimization. For more details, see Zhao, Qing, and Xu (2025) <doi:10.48550/arXiv.2508.10447>.
Author: Jiangyan Zhao [cre, aut], Kunhai Qing [aut], Jin Xu [aut]
Maintainer: Jiangyan Zhao <zhaojy2017@126.com>

Diff between BKP versions 0.3.0 dated 2026-07-02 and 0.3.1 dated 2026-07-13

 DESCRIPTION                                |    9 
 MD5                                        |   27 
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 README.md                                  |  278 +++++--
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 15 files changed, 2909 insertions(+), 2745 deletions(-)

More information about BKP at CRAN
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Package apollo updated to version 0.3.9 with previous version 0.3.8 dated 2026-05-17

Title: Tools for Choice Model Estimation and Application
Description: Choice models are a widely used technique across numerous scientific disciplines. The Apollo package is a very flexible tool for the estimation and application of choice models in R. Users are able to write their own model functions or use a mix of already available ones. Random heterogeneity, both continuous and discrete and at the level of individuals and choices, can be incorporated for all models. There is support for both standalone models and hybrid model structures. Both classical and Bayesian estimation is available, and multiple discrete continuous models are covered in addition to discrete choice. Multi-threading processing is supported for estimation and a large number of pre and post-estimation routines, including for computing posterior (individual-level) distributions are available. For examples, a manual, and a support forum, visit <https://www.ApolloChoiceModelling.com>. For more information on choice models see Train, K. (2009) <isbn:978-0-521-74738-7> and [...truncated...]
Author: Stephane Hess [aut, cre], David Palma [aut], Thomas Hancock [ctb]
Maintainer: Stephane Hess <S.Hess@leeds.ac.uk>

Diff between apollo versions 0.3.8 dated 2026-05-17 and 0.3.9 dated 2026-07-13

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Package zip updated to version 3.0.1 with previous version 3.0.0 dated 2026-06-10

Title: Cross-Platform 'zip' Compression
Description: Cross-Platform 'zip' Compression Library. A replacement for the 'zip' function, that does not require any additional external tools on any platform.
Author: Gabor Csardi [aut, cre], Kuba Podgorski [ctb], Rich Geldreich [ctb], Arm Limited [ctb, cph] ), Posit Software, PBC [cph, fnd]
Maintainer: Gabor Csardi <csardi.gabor@gmail.com>

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Package tseries updated to version 0.10-62 with previous version 0.10-61 dated 2026-03-26

Title: Time Series Analysis and Computational Finance
Description: Time series analysis and computational finance.
Author: Adrian Trapletti [aut], Kurt Hornik [aut, cre] , Blake LeBaron [ctb]
Maintainer: Kurt Hornik <Kurt.Hornik@R-project.org>

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Package tau updated to version 0.0-29 with previous version 0.0-28 dated 2026-03-26

Title: Text Analysis Utilities
Description: Utilities for text analysis.
Author: Christian Buchta [aut], Kurt Hornik [aut, cre] , Ingo Feinerer [aut] , David Meyer [aut]
Maintainer: Kurt Hornik <Kurt.Hornik@R-project.org>

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Package slam updated to version 0.1-56 with previous version 0.1-55 dated 2024-11-13

Title: Sparse Lightweight Arrays and Matrices
Description: Data structures and algorithms for sparse arrays and matrices, based on index arrays and simple triplet representations, respectively.
Author: Kurt Hornik [aut, cre] , David Meyer [aut] , Christian Buchta [aut]
Maintainer: Kurt Hornik <Kurt.Hornik@R-project.org>

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Package RWeka updated to version 0.4-49 with previous version 0.4-48 dated 2026-03-26

Title: R/Weka Interface
Description: An R interface to Weka (Version 3.9.3). Weka is a collection of machine learning algorithms for data mining tasks written in Java, containing tools for data pre-processing, classification, regression, clustering, association rules, and visualization. Package 'RWeka' contains the interface code, the Weka jar is in a separate package 'RWekajars'. For more information on Weka see <https://www.cs.waikato.ac.nz/ml/weka/>.
Author: Kurt Hornik [aut, cre] , Christian Buchta [ctb], Torsten Hothorn [ctb], Alexandros Karatzoglou [ctb], David Meyer [ctb], Achim Zeileis [ctb]
Maintainer: Kurt Hornik <Kurt.Hornik@R-project.org>

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Package openNLP updated to version 0.2-8 with previous version 0.2-7 dated 2019-10-26

Title: Apache OpenNLP Tools Interface
Description: An interface to the Apache OpenNLP tools (version 1.5.3). The Apache OpenNLP library is a machine learning based toolkit for the processing of natural language text written in Java. It supports the most common NLP tasks, such as tokenization, sentence segmentation, part-of-speech tagging, named entity extraction, chunking, parsing, and coreference resolution. See <https://opennlp.apache.org/> for more information.
Author: Kurt Hornik [aut, cre]
Maintainer: Kurt Hornik <Kurt.Hornik@R-project.org>

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Package NLP updated to version 0.3-3 with previous version 0.3-2 dated 2024-11-20

Title: Natural Language Processing Infrastructure
Description: Basic classes and methods for Natural Language Processing.
Author: Kurt Hornik [aut, cre]
Maintainer: Kurt Hornik <Kurt.Hornik@R-project.org>

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Package mlbench updated to version 2.1-9 with previous version 2.1-8 dated 2026-03-26

Title: Machine Learning Benchmark Problems
Description: A collection of artificial and real-world machine learning benchmark problems, including, e.g., several data sets from the UCI repository.
Author: Friedrich Leisch [aut] , Evgenia Dimitriadou [aut], Kurt Hornik [cre]
Maintainer: Kurt Hornik <Kurt.Hornik@R-project.org>

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Package ctsemOMX updated to version 2.0.1 with previous version 2.0.0 dated 2026-03-19

Title: Continuous Time Structural Equation Modelling - Old 'OpenMx'-Based Version
Description: Original 'ctsem' (continuous time structural equation modelling) functionality, based on the 'OpenMx' software, as described in Driver, Oud, Voelkle (2017) <doi:10.18637/jss.v077.i05>, with updated details in vignette. Combines stochastic differential equations representing latent processes with structural equation measurement models. This package is maintained for consistency with the original 'ctsem' paper, but for the much newer and more capable 'ctsem' package, see <https://cran.r-project.org/package=ctsem>.
Author: Charles Driver [aut, cre, cph], Manuel Voelkle [aut, cph], Han Oud [aut, cph]
Maintainer: Charles Driver <charles.driver2@uzh.ch>

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Package aplotExtra updated to version 0.0.5 with previous version 0.0.4 dated 2025-06-12

Title: Creating Composite Plots using 'aplot'
Description: Many complex plots are actually composite plots, such as 'oncoplot', 'funkyheatmap', 'upsetplot', etc. We can produce subplots using 'ggplot2' and combine them to create composite plots using 'aplot'. In this way, it is easy to customize these complex plots, by adding, deleting or modifying subplots in the final plot. This package provides a set of utilities to help users to create subplots and complex plots.
Author: Guangchuang Yu [aut, cre] , Shuangbin Xu [ctb] , Chun-Hui Gao [ctb] , Shensuo Li [ctb]
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>

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Package RcppMeCab updated to version 0.0.1.7 with previous version 0.0.1.6 dated 2026-07-12

Title: 'rcpp' Wrapper for 'mecab' Library
Description: R package based on 'Rcpp' for 'MeCab': Yet Another Part-of-Speech and Morphological Analyzer. It provides install-time engine profiles and dictionaries for Japanese, Korean, and Mandarin Chinese text. Runtime dictionary selection does not change the installed engine. This package utilizes parallel programming for providing highly efficient text preprocessing 'posParallel()' function. For installation, please refer to README.md file.
Author: Junhewk Kim [aut, cre], Taku Kudo [aut], Akiru Kato [ctb], Patrick Schratz [ctb]
Maintainer: Junhewk Kim <junhewk.kim@gmail.com>

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Package BayesRTMB updated to version 0.2.3 with previous version 0.2.1 dated 2026-06-23

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 SpaDES (with last version 2.0.11) was removed from CRAN

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

2024-04-17 2.0.11

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Package reproducible (with last version 3.1.1) was removed from CRAN

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

2026-05-18 3.1.1
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2026-01-11 2.1.1
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Package SpaDES.core (with last version 3.1.2) was removed from CRAN

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2026-05-23 3.1.2
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2025-09-18 2.1.8
2025-09-02 2.1.6
2024-06-02 2.1.0
2024-04-25 2.0.5
2024-04-16 2.0.4

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Package rnmamod updated to version 0.5.1 with previous version 0.5.0 dated 2025-06-13

Title: Bayesian Network Meta-Analysis with Missing Participants
Description: A comprehensive suite of functions to perform and visualise pairwise and network meta-analysis with aggregate binary or continuous missing participant outcome data. The package covers core Bayesian one-stage models implemented in a systematic review with multiple interventions, including fixed-effect and random-effects network meta-analysis, meta-regression, and evaluation of the consistency assumption via the node-splitting approach and the unrelated mean effects model (original and revised model proposed by Spineli, (2021) <doi:10.1177/0272989X211068005>). Missing participant outcome data are addressed in all models of the package (see Spineli, (2019) <doi:10.1186/s12874-019-0731-y>, Spineli et al., (2019) <doi:10.1002/sim.8207>, Spineli, (2019) <doi:10.1016/j.jclinepi.2018.09.002>, and Spineli et al., (2021) <doi:10.1177/0962280220983544>). The robustness to primary analysis results can also be investigated using a novel intuitive index (see Spineli et [...truncated...]
Author: Loukia Spineli [aut, cre], Chrysostomos Kalyvas [ctb], Katerina Papadimitropoulou [ctb]
Maintainer: Loukia Spineli <Spineli.Loukia@mh-hannover.de>

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Package rjd3providers updated to version 3.8.0 with previous version 3.7.1 dated 2026-03-11

Title: Interface to 'JDemetra+' 3.x Time Series Analysis Software
Description: Interface to 'JDemetra+' 3.x (<https://github.com/jdemetra>) time series analysis software. It offers full access to txt, csv, xml and spreadsheets files which are meant to be read by 'JDemetra+' Graphical User Interface.
Author: Jean Palate [aut], Alessandro Piovani [aut, cre], Tanguy Barthelemy [ctb, art]
Maintainer: Alessandro Piovani <alessandro.piovani@istat.it>

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Package CompMix readmission to version 1.1.0 with previous version 0.1.0 dated 2024-05-22

Title: A Comprehensive Toolkit for Environmental Mixtures Analysis
Description: Quantitative characterization of the health impacts associated with exposure to chemical mixtures has received considerable attention in current environmental and epidemiological studies. 'CompMix' package allows practitioners to estimate the health impacts from exposure to chemical mixtures data through various statistical approaches, including Lasso, Elastic net, Bayesian kernel machine regression (BKMR), hierNet, Quantile g-computation, Weighted quantile sum (WQS) and Random forest. Methods and recommendations are described in Hao et al. (2025) <doi:10.1289/EHP15305>.
Author: Wei Hao [aut, cre]
Maintainer: Wei Hao <weihao@umich.edu>

This is a re-admission after prior archival of version 0.1.0 dated 2024-05-22

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Package CKNNRLD updated to version 0.2.2 with previous version 0.2.0 dated 2026-07-10

Title: Clustering-Based K-Nearest Neighbor Regression for Longitudinal Data
Description: Implements the 'CKNNRLD' algorithm (Clustering-Based K-Nearest Neighbor Regression for Longitudinal Data) for improving K-Nearest Neighbor ('KNN') regression on longitudinal data through cluster-based partitioning and localized prediction. Offers enhanced computational efficiency and accuracy for high-volume longitudinal datasets. The acronym 'KNN' stands for K-Nearest Neighbor. References: Loeloe MS, Tabatabaei SM, Sefidkar R, Mehrparvar AH, Jambarsang S (2025). "Boosting K-nearest neighbor regression performance for longitudinal data through a novel learning approach." BMC Bioinformatics, 26, 232. <doi:10.1186/s12859-025-06205-1>.
Author: Mohammad Sadegh Loeloe [aut, cre], Seyyed Mohammad Tabatabaei [aut], Reyhane Sefidkar [aut], Amir Houshang Mehrparvar [aut], Sara Jambarsang [aut, ths]
Maintainer: Mohammad Sadegh Loeloe <mslbiostat@gmail.com>

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Package BSCB updated to version 1.0.1 with previous version 1.0.0 dated 2026-07-10

Title: Bayesian Simultaneous Credible Bands for Polynomial Regression
Description: Provides functions to construct two-sided Bayesian simultaneous credible bands (BSCBs) for the regression curve in univariate polynomial regression over a finite covariate interval. Six methods are implemented, including Normal-Gamma conjugate priors (with empirical Bayes, unit-information, and g-prior hyperparameter specifications), non-conjugate priors fitted via Hamiltonian Monte Carlo (HMC) using 'cmdstanr', and a non-informative independent Jeffreys prior approach. Also includes functions for computing the empirical simultaneous coverage rate (ESCR) and posterior simultaneous coverage probability (PSCP), enabling performance comparison across methods. The methodology is described in: Yang, F., Han, Y., Liu, W., & Hall, I. (2026). "Bayesian simultaneous credible bands for polynomial regression" <doi:10.48550/arXiv.2606.28015>.
Author: Fei Yang [aut, cre]
Maintainer: Fei Yang <fei.yang@manchester.ac.uk>

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Package bs4Dashkit updated to version 0.3.0 with previous version 0.2.0 dated 2026-04-21

Title: Branding, Theme Application and Navigation Utilities for 'bs4Dash' Dashboards
Description: Provides branding, theme application, and navigation utilities for applications built with 'bs4Dash' and 'shiny'. Supports configurable sidebar brand display modes, hover-expand behavior, and theme customization using CSS variables. Includes complete navbar item helpers, navbar structure validation, reusable brand configuration, prototype top-navigation support, and helpers for common navigation bar and footer layouts.
Author: George Arthur [aut, cre]
Maintainer: George Arthur <prigasgenthian48@gmail.com>

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Package BMEmapping updated to version 2.0.0 with previous version 1.2.2 dated 2025-08-19

Title: Spatial Interpolation using Bayesian Maximum Entropy (BME)
Description: Provides an accessible and robust implementation of core BME methodologies for spatial prediction. It enables the systematic integration of heterogeneous data sources including both hard data (precise measurements) and soft interval data (bounded or uncertain observations) while incorporating prior knowledge and supporting variogram-based spatial modeling. The BME methodology is described in Christakos (1990) <doi:10.1007/BF00890661>, Serre and Christakos (1999) <doi:10.1007/s004770050029> and Duah (2025, 2026) <doi:10.1016/j.spasta.2026.100974>.
Author: Kinspride Duah [aut, cre, cph] , Yan Sun [aut]
Maintainer: Kinspride Duah <kinspride2020@gmail.com>

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Package rqlm updated to version 4.4-1 with previous version 4.3-2 dated 2026-02-28

Title: Modified Poisson Regression for Binary Outcome and Related Methods
Description: Modified Poisson, logistic and least-squares regression analyses for binary outcomes of Zou (2004) <doi:10.1093/aje/kwh090>, Noma (2026)<doi:10.1016/j.spl.2026.110698>, and Cheung (2007) <doi:10.1093/aje/kwm223> have been standard multivariate analysis methods to estimate risk ratio and risk difference in clinical and epidemiological studies. This R package involves an easy-to-handle function to implement these analyses by simple commands. Missing data analysis tools (multiple imputation) are also involved. In addition, recent studies have shown the ordinary robust variance estimator possibly has serious bias under small or moderate sample size situations for these methods. This package also provides computational tools to calculate alternative accurate confidence intervals.
Author: Hisashi Noma [aut, cre]
Maintainer: Hisashi Noma <noma@ism.ac.jp>

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Package quickSentiment updated to version 0.3.5 with previous version 0.3.4 dated 2026-04-16

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 pkgdown.offline updated to version 0.1.3 with previous version 0.1.2 dated 2025-11-08

Title: Build 'pkgdown' Websites Offline
Description: Provides support for building 'pkgdown' websites without an internet connection. Works by bundling cached dependencies and implementing drop-in replacements for key 'pkgdown' functions. Enables package documentation websites to be built in environments where internet access is unavailable or restricted. For more details on generating 'pkgdown' websites, see Wickham et al. (2025) <doi:10.32614/CRAN.package.pkgdown>.
Author: Nan Xiao [aut, cre, cph] , John Blischak [aut] , Algolia, Inc. and other contributors [ctb, cph] , Aidan Feldman [ctb, cph] , Zeno Rocha [ctb, cph] , Nick Williams [ctb, cph] , Julian Kuehnel [ctb, cph] , Kiro Risk [ctb, cph] , Khan Academy and other [...truncated...]
Maintainer: Nan Xiao <me@nanx.me>

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Package LISTO updated to version 0.8.1 with previous version 0.7.3 dated 2026-04-25

Title: Performing Comprehensive Overlap Assessments
Description: The implementation of a statistical framework for performing overlap assessments on lists comprising sets of strings (such as lists of gene sets) described in Stoica (2023) <https://ora.ox.ac.uk/objects/uuid:b0847284-a02f-47ee-88e3-a3c4e0cdb8b1>. It can assess overlaps of pairs of sets of strings selected either from the same universe or from different universes, and overlaps of triplets of sets of strings selected from the same universe. Designed for single-cell RNA-sequencing data analysis applications, but suitable for other purposes as well.
Author: Andrei-Florian Stoica [aut, cre]
Maintainer: Andrei-Florian Stoica <andreistoica@foxmail.com>

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Package lazysf updated to version 0.4.0 with previous version 0.3.0 dated 2026-02-17

Title: Delayed Read for 'GDAL' Vector Data Sources
Description: Lazy read for drawings. A 'dplyr' back end for data sources supported by 'GDAL' vector drivers, that allows working with local or remote sources as if they are in-memory data frames. Basic features work with any drawing format ('GDAL vector data source') supported by the 'gdalraster' package.
Author: Michael Sumner [aut, cre]
Maintainer: Michael Sumner <mdsumner@gmail.com>

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Package henna updated to version 0.8.5 with previous version 0.7.5 dated 2026-02-17

Title: A Versatile Visualization Suite
Description: A visualization suite primarily designed for single-cell RNA-sequencing data analysis applications but well-suited for other purposes as well. It introduces novel plots to represent two-variable and frequency data and optimizes some commonly used plotting options (e.g., correlation, network, density, alluvial and volcano plots) for ease of usage and flexibility.
Author: Andrei-Florian Stoica [aut, cre]
Maintainer: Andrei-Florian Stoica <andreistoica@foxmail.com>

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Package HCUPtools updated to version 1.0.2 with previous version 1.0.1 dated 2026-05-11

Title: Access and Work with HCUP Resources and Datasets
Description: A comprehensive R package for accessing and working with publicly available and free resources from the Agency for Healthcare Research and Quality (AHRQ) Healthcare Cost and Utilization Project (HCUP). The package provides streamlined access to HCUP's Clinical Classifications Software Refined (CCSR) mapping files and Summary Trend Tables, enabling researchers and analysts to efficiently map ICD-10-CM diagnosis codes and ICD-10-PCS procedure codes to CCSR categories and access HCUP statistical reports. Key features include: direct download from HCUP website, multiple output formats (long/wide/default), cross-classification support, version management, citation generation, and intelligent caching. The package does not redistribute HCUP data files but facilitates direct download from the official HCUP website, ensuring users always have access to the latest versions and maintain compliance with HCUP data use policies. This package only accesses free public tools and reports; it does NOT a [...truncated...]
Author: Vikrant Dev Rathore [aut, cre]
Maintainer: Vikrant Dev Rathore <rathore.vikrant@gmail.com>

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Package cpfa updated to version 1.3.1 with previous version 1.3.0 dated 2026-06-02

Title: Classification with Parallel Factor Analysis
Description: Classification using Richard A. Harshman's Parallel Factor Analysis-1 (Parafac) model or Parallel Factor Analysis-2 (Parafac2) model fit to a three-way or four-way data array. See Harshman and Lundy (1994): <doi:10.1016/0167-9473(94)90132-5>. Classification using principal component analysis (PCA) fit to a two-way data matrix is also supported. Uses component weights from one mode of a Parafac, Parafac2, or PCA model as features to tune parameters for one or more classification methods via a k-fold cross-validation procedure. Allows for constraints on different tensor modes. Allows for inclusion of additional features alongside features generated by the component model. Supports penalized logistic regression, support vector machine, random forest, feed-forward neural network, regularized discriminant analysis, and gradient boosting machine. Supports binary and multiclass classification. Predicts class labels or class probabilities and calculates multiple classification performanc [...truncated...]
Author: Matthew A. Asisgress [aut, cre]
Maintainer: Matthew A. Asisgress <mattgress@protonmail.ch>

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Package brulee updated to version 1.1.1 with previous version 1.1.0 dated 2026-07-02

Title: High-Level Modeling Functions with 'torch'
Description: Provides high-level modeling functions to define and train models using the 'torch' R package. Models include linear, logistic, and multinomial regression as well as multilayer perceptrons.
Author: Max Kuhn [aut, cre] , Daniel Falbel [aut], Posit Software, PBC [cph, fnd]
Maintainer: Max Kuhn <max@posit.co>

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Package RcppEigenAD (with last version 1.1.0) was removed from CRAN

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

2025-09-11 1.1.0
2018-06-15 1.0.0

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Sun, 12 Jul 2026

Package stickyr updated to version 0.1.3 with previous version 0.1.2 dated 2023-03-26

Title: Data Frames with Persistent Columns and Attributes
Description: Provides data frames that hold certain columns and attributes persistently for data processing in 'dplyr'.
Author: Mizuki Uchida [aut, cre]
Maintainer: Mizuki Uchida <uchidamizuki@vivaldi.net>

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Package genderBR updated to version 1.4.0 with previous version 1.3.0 dated 2026-03-30

Title: Predict Gender from Brazilian First Names
Description: A generalized method to predict and report gender from Brazilian first names using the Brazilian Institute of Geography and Statistics' Census data and neural networks.
Author: Fernando Meireles [aut, cre]
Maintainer: Fernando Meireles <fernando.meireles@iesp.uerj.br>

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Package boilerplate updated to version 1.4.0 with previous version 1.3.0 dated 2025-06-24

Title: Managing and Compiling Manuscript Templates
Description: Managing and generating standardised text for methods and results sections of scientific reports. It handles template variable substitution and supports hierarchical organisation of text through dot-separated paths. Databases are stored as JSON by default for version control and cross-language compatibility; trusted legacy RDS databases remain readable through import and migration utilities.
Author: Joseph Bulbulia [aut, cre]
Maintainer: Joseph Bulbulia <joseph.bulbulia@gmail.com>

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Package parasiteR updated to version 1.1 with previous version 1.0 dated 2026-05-13

Title: A Theorical-Practical Approach to Parasitological Data Analysis
Description: Standardizes and streamlines the processing of parasitological data by integrating descriptive analyses of parasite count distributions, automated calculation of parasitological indices and their dispersion measures, and intuitive visualizations for representing these metrics (Bush et al. 1997 <doi:10.2307/3284227>, Reiczigel et al. 2019 <doi:10.1016/j.pt.2019.01.003>).
Author: Exequiel Oscar Furlan [aut] , Juan Manuel Cabrera [aut, cre, cph] , Elisa Helman [aut]
Maintainer: Juan Manuel Cabrera <juan.cabrera@uner.edu.ar>

Diff between parasiteR versions 1.0 dated 2026-05-13 and 1.1 dated 2026-07-12

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Package mpath updated to version 0.4-2.27 with previous version 0.4-2.26 dated 2024-06-27

Title: Regularized Linear Models
Description: Algorithms compute robust estimators for loss functions in the concave convex (CC) family by the iteratively reweighted convex optimization (IRCO), an extension of the iteratively reweighted least squares (IRLS). The IRCO reduces the weight of the observation that leads to a large loss; it also provides weights to help identify outliers. Applications include robust (penalized) generalized linear models and robust support vector machines. The package also contains penalized Poisson, negative binomial, zero-inflated Poisson, zero-inflated negative binomial regression models and robust models with non-convex loss functions. Wang et al. (2014) <doi:10.1002/sim.6314>, Wang et al. (2015) <doi:10.1002/bimj.201400143>, Wang et al. (2016) <doi:10.1177/0962280214530608>, Wang (2021) <doi:10.1007/s11749-021-00770-2>, Wang (2024) <doi:10.1111/anzs.12409>.
Author: Zhu Wang [aut, cre], Achim Zeileis [aut], Simon Jackman [aut], Brian Ripley [aut], Patrick Breheny [aut]
Maintainer: Zhu Wang <zwang145@uthsc.edu>

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Package DiSCos updated to version 0.1.4 with previous version 0.1.3 dated 2026-03-07

Title: Distributional Synthetic Controls Estimation
Description: The method of synthetic controls is a widely-adopted tool for evaluating causal effects of policy changes in settings with observational data. In many settings where it is applicable, researchers want to identify causal effects of policy changes on a treated unit at an aggregate level while having access to data at a finer granularity. This package implements a simple extension of the synthetic controls estimator, developed in Gunsilius (2023) <doi:10.3982/ECTA18260>, that takes advantage of this additional structure and provides nonparametric estimates of the heterogeneity within the aggregate unit. The idea is to replicate the quantile function associated with the treated unit by a weighted average of quantile functions of the control units. The package contains tools for aggregating and plotting the resulting distributional estimates, as well as for carrying out inference on them.
Author: David Van Dijcke [aut, cre] , Florian Gunsilius [aut] , Siyun He [aut]
Maintainer: David Van Dijcke <dvdijcke@umich.edu>

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Package blockr.core updated to version 0.1.3 with previous version 0.1.2 dated 2026-04-28

Title: Graphical Web-Framework for Data Manipulation and Visualization
Description: A framework for data manipulation and visualization using a web-based point and click user interface where analysis pipelines are decomposed into re-usable and parameterizable blocks.
Author: Nicolas Bennett [aut, cre], David Granjon [aut], Christoph Sax [aut], Bristol Myers Squibb [fnd]
Maintainer: Nicolas Bennett <nicolas@cynkra.com>

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Package tbl2xts updated to version 1.0.6 with previous version 1.0.4 dated 2021-01-12

Title: Convert Tibbles or Data Frames to Xts Easily
Description: Facilitate the movement between data frames to 'xts'. Particularly useful when moving from 'tidyverse' to the widely used 'xts' package, which is the input format of choice to various other packages. It also allows the user to use a 'spread_by' argument for a character column 'xts' conversion.
Author: Nico Katzke [aut, cre]
Maintainer: Nico Katzke <nfkatzke@gmail.com>

Diff between tbl2xts versions 1.0.4 dated 2021-01-12 and 1.0.6 dated 2026-07-12

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Package ManifoldOptim updated to version 1.0.2 with previous version 1.0.1 dated 2021-12-14

Title: An R Interface to the 'ROPTLIB' Library for Riemannian Manifold Optimization
Description: An R interface to version 0.3 of the 'ROPTLIB' optimization library (see <https://www.math.fsu.edu/~whuang2/> for more information). Optimize real-valued functions over manifolds such as Stiefel, Grassmann, and symmetric positive definite matrices. For details see Martin et al. (2020) <doi:10.18637/jss.v093.i01>. Note that the optional 'ldr' package used in some of this package's examples can be obtained from either the article <doi:10.18637/jss.v061.i03> or from the 'ldr' package <https://cran.r-project.org/package=ldr>.
Author: Kofi P. Adragni [aut, cph], Sean R. Martin [aut, cre, cph], Andrew M. Raim [aut, cph], Wen Huang [aut, cph]
Maintainer: Sean R. Martin <sean.martin@jhuapl.edu>

Diff between ManifoldOptim versions 1.0.1 dated 2021-12-14 and 1.0.2 dated 2026-07-12

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Package ctrdata updated to version 1.26.2 with previous version 1.26.1 dated 2026-03-08

Title: Retrieve and Analyze Clinical Trials Data from Public Registers
Description: A system for querying, retrieving and analyzing protocol- and results-related information on clinical trials from four public registers, the 'European Union Clinical Trials Register' ('EUCTR', <https://www.clinicaltrialsregister.eu/>), 'ClinicalTrials.gov' (<https://clinicaltrials.gov/> and also translating queries the retired classic interface), the 'ISRCTN' (<https://www.isrctn.com/>) and the 'European Union Clinical Trials Information System' ('CTIS', <https://euclinicaltrials.eu/>). Trial information is downloaded, converted and stored in a database ('PostgreSQL', 'SQLite', 'DuckDB' or 'MongoDB'; via package 'nodbi'). Protocols, statistical analysis plans, informed consent sheets and other documents in registers associated with trials can also be downloaded. Other functions implement trial concepts canonically across registers, identify deduplicated records, easily find and extract variables (fields) of interest even from complex nested data as used by the r [...truncated...]
Author: Ralf Herold [aut, cre] , Marek Kubica [cph] , Ivan Bozhanov [cph]
Maintainer: Ralf Herold <ralf.herold@mailbox.org>

Diff between ctrdata versions 1.26.1 dated 2026-03-08 and 1.26.2 dated 2026-07-12

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Package gctsc updated to version 0.2.5 with previous version 0.2.4 dated 2026-05-20

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]
Maintainer: Quynh Nguyen <nqnhu2209@gmail.com>

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Package agrmt updated to version 1.42.21 with previous version 1.42.19 dated 2026-04-08

Title: Calculate Concentration and Dispersion in Ordered Rating Scales
Description: Calculates concentration and dispersion in ordered rating scales. It implements various measures of concentration and dispersion to describe what researchers variably call agreement, concentration, consensus, dispersion, or polarization among respondents in ordered data. It also implements other related measures to classify distributions. In addition to a generic city-block based concentration measure and a generic dispersion measure, the package implements various measures, including van der Eijk's (2001) <DOI: 10.1023/A:1010374114305> measure of agreement A, measures of concentration by Leik, Tatsle and Wierman, Blair and Lacy, Kvalseth, Berry and Mielke, Reardon, and Garcia-Montalvo and Reynal-Querol. Furthermore, the package provides an implementation of Galtungs AJUS-system to classify distributions, as well as a function to identify the position of multiple modes.
Author: Didier Ruedin [aut, cre] , Clem Aeppli [ctb]
Maintainer: Didier Ruedin <didier.ruedin@unine.ch>

Diff between agrmt versions 1.42.19 dated 2026-04-08 and 1.42.21 dated 2026-07-12

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Package tissot updated to version 0.3.0 with previous version 0.2.0 dated 2026-02-12

Title: Tissot Indicatrix for Map Projection Distortion
Description: Compute and visualize the 'Tissot Indicatrix' for map projections. The indicatrix characterizes projection distortion by computing scale factors, angular deformation, areal distortion, and convergence at arbitrary points. Based on the calculations shared by Bill Huber on <https://gis.stackexchange.com/a/5075/482>. Uses 'PROJ' for coordinate transformation and distortion factor computation. Developed using the method published in Snyder, JP (1987) <doi:10.3133/pp1395>.
Author: Michael Sumner [aut, cre, cph] , Bill Huber [aut]
Maintainer: Michael Sumner <mdsumner@gmail.com>

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Package rlibkriging updated to version 1.1-1 with previous version 1.1-0 dated 2026-07-11

Title: Kriging Models using the 'libKriging' Library
Description: Interface to 'libKriging' 'C++' library <https://github.com/libKriging> that should provide most standard Kriging / Gaussian process regression features (like in 'DiceKriging', 'kergp' or 'RobustGaSP' packages). 'libKriging' relies on Armadillo linear algebra library (Apache 2 license) by Conrad Sanderson, 'lbfgsb_cpp' is a 'C++' port around by Pascal Have of 'lbfgsb' library (BSD-3 license) by Ciyou Zhu, Richard Byrd, Jorge Nocedal and Jose Luis Morales used for hyperparameters optimization.
Author: Yann Richet [aut, cre] , Pascal Have [aut], Yves Deville [aut], Conrad Sanderson [ctb], Ciyou Zhu [ctb], Richard Byrd [ctb], Jorge Nocedal [ctb], Jose Luis Morales [ctb], Mike Smith [ctb]
Maintainer: Yann Richet <yann.richet@asnr.fr>

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Package NetSimR updated to version 0.1.6 with previous version 0.1.5 dated 2023-12-02

Title: Actuarial Functions for Non-Life Insurance Modelling
Description: Assists actuaries and other insurance modellers in pricing, reserving and capital modelling for non-life insurance and reinsurance modelling. Provides functions that help model excess levels, capping and pure Incurred but not reported claims (pure IBNR). Includes capped mean, exposure curves and increased limit factor curves (ILFs) for LogNormal, Gamma, Pareto, Sliced LogNormal-Pareto and Sliced Gamma-Pareto distributions. Includes mean, probability density function (pdf), cumulative probability function (cdf) and inverse cumulative probability function for Sliced LogNormal-Pareto and Sliced Gamma-Pareto distributions. Includes calculating pure IBNR exposure with LogNormal and Gamma distribution for reporting delay. Includes three shiny tools, one to simulate insurance claims applying reinsurance structures, fit generalised linear models and fit claims frequency or severity distributions. Methods used in the package refer to Free for All by Yiannis Parizas (2023) <https://www.theact [...truncated...]
Author: Yiannis Parizas [aut, cre]
Maintainer: Yiannis Parizas <yiannis.parizas@gmail.com>

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Package coresynth updated to version 0.3.0 with previous version 0.2.4 dated 2026-07-04

Title: Fast and Unified Synthetic Control Methods
Description: A unified 'Formula' interface to the Synthetic Control Method (SCM) and related panel-data causal inference estimators: Synthetic Difference-in-Differences (SDID), Generalized Synthetic Control (GSC), Matrix Completion (MC), Time-Aware Synthetic Control (TASC), and Synthetic Interventions (SI), together with an experimental-design variant. Computational bottlenecks (quadratic programming, singular value decomposition, and Kalman filtering) are implemented in 'C++' via 'RcppArmadillo'. Methods are described in Abadie, Diamond and Hainmueller (2010) <doi:10.1198/jasa.2009.ap08746>, Arkhangelsky, Athey, Hirshberg, Imbens and Wager (2021) <doi:10.1257/aer.20190159>, Xu (2017) <doi:10.1017/pan.2016.2>, Athey, Bayati, Doudchenko, Imbens and Khosravi (2021) <doi:10.1080/01621459.2021.1891924>, and Agarwal, Shah and Shen (2025) <doi:10.1287/opre.2025.1590>.
Author: Yosuke Abe [aut, cre]
Maintainer: Yosuke Abe <yosuke.abe0507@gmail.com>

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Package citsr updated to version 0.1.4 with previous version 0.1.3 dated 2025-12-22

Title: Controlled Interrupted Time Series Analysis and Visualization
Description: Implements controlled interrupted time series (CITS) analysis for evaluating interventions in comparative time-series data. The package provides tools for preparing panel time-series datasets, fitting models using generalized least squares (GLS) with optional autoregressive–moving-average (ARMA) error structures, and computing fitted values and robust standard errors using cluster-robust variance estimators (CR2). Visualization functions enable clear presentation of estimated effects and counterfactual trajectories following interventions. Background on methods for causal inference in interrupted time series can be found in Linden and Adams (2011) <doi:10.1111/j.1365-2753.2010.01504.x> and Lopez Bernal, Cummins, and Gasparrini (2018) <doi:10.1093/ije/dyy135>.
Author: Hanmin Gu [aut, cre]
Maintainer: Hanmin Gu <ghm21@yonsei.ac.kr>

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Package statswalesr updated to version 1.0.0 with previous version 0.2.0 dated 2022-04-03

Title: Easily Extract Data from 'StatsWales'
Description: Download data from the 'StatsWales' public API (<https://api.stats.gov.wales/v2>) into R. Provides functions to list, search, and browse datasets by topic, retrieve data with optional filtering, sorting, and pivoting, and download datasets as CSV or Excel files.
Author: Jamie Ralph [aut, cre]
Maintainer: Jamie Ralph <jamesryanralph@outlook.com>

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Package rtf readmission to version 0.4-15 with previous version 0.4-14.1 dated 2020-03-22

Title: Rich Text Format ('RTF') Output
Description: A set of R functions to output Rich Text Format ('RTF') files with high resolution tables and graphics that may be edited with a standard word processor such as Microsoft Word.
Author: Michael E. Schaffer [aut, cph], Kyun-Seop Bae [ctb, cre]
Maintainer: Kyun-Seop Bae <k@acr.kr>

This is a re-admission after prior archival of version 0.4-14.1 dated 2020-03-22

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Package moocore updated to version 0.3.2 with previous version 0.3.1 dated 2026-05-04

Title: Core Mathematical Functions for Multi-Objective Optimization
Description: Fast implementations of mathematical operations and performance metrics for multi-objective optimization, including filtering and ranking of dominated vectors according to Pareto optimality, hypervolume metric, C.M. Fonseca, L. Paquete, M. López-Ibáñez (2006) <doi:10.1109/CEC.2006.1688440>, epsilon indicator, inverted generational distance, computation of the empirical attainment function, V.G. da Fonseca, C.M. Fonseca, A.O. Hall (2001) <doi:10.1007/3-540-44719-9_15>, and Vorob'ev threshold, expectation and deviation, M. Binois, D. Ginsbourger, O. Roustant (2015) <doi:10.1016/j.ejor.2014.07.032>, among others.
Author: Manuel Lopez-Ibanez [aut, cre] , Carlos Fonseca [ctb], Luis Paquete [ctb], Andreia P. Guerreiro [ctb], Mickael Binois [ctb], Michael H. Buselli [cph] , Wessel Dankers [cph] , NumPy Developers [cph] , Jean-Sebastien Roy [cph] , Makoto Matsumoto [cph] [...truncated...]
Maintainer: Manuel Lopez-Ibanez <manuel.lopez-ibanez@manchester.ac.uk>

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Package cppally updated to version 1.1.0 with previous version 1.0.0 dated 2026-07-02

Title: A 'C++20' API for R
Description: A header-only 'C++20' API for manipulating R data structures from 'C++'. Provides 'C++20' concepts specific to R, custom scalar and vector classes with built-in NA handling, automatic object protection, 'SIMD' (single-instruction-multiple-data), parallelisation, and a streamlined system for registering 'C++' functions, including templates, to R. Full API reference and documentation are available at <https://nicchr.github.io/cppally/>.
Author: Nick Christofides [aut, cre, cph] , Martin Leitner-Ankerl [cph] , Malte Skarupke [cph] , Posit Software, PBC [cph]
Maintainer: Nick Christofides <nick.christofides.r@gmail.com>

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Package betareg updated to version 3.2-5 with previous version 3.2-4 dated 2025-08-19

Title: Beta Regression
Description: Beta regression for modeling beta-distributed dependent variables on the open unit interval (0, 1), e.g., rates and proportions, see Cribari-Neto and Zeileis (2010) <doi:10.18637/jss.v034.i02>. Moreover, extended-support beta regression models can accommodate dependent variables with boundary observations at 0 and/or 1, see Kosmidis and Zeileis (2025) <doi:10.1093/jrsssc/qlaf039>. For the classical beta regression model, alternative specifications are provided: Bias-corrected and bias-reduced estimation, finite mixture models, and recursive partitioning for beta regression, see Grün, Kosmidis, and Zeileis (2012) <doi:10.18637/jss.v048.i11>.
Author: Achim Zeileis [aut, cre] , Francisco Cribari-Neto [aut] , Bettina Gruen [aut] , Ioannis Kosmidis [aut] , Alexandre B. Simas [ctb] , Andrea V. Rocha [ctb]
Maintainer: Achim Zeileis <Achim.Zeileis@R-project.org>

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Package SWTools updated to version 1.1.1 with previous version 1.1.0 dated 2024-10-14

Title: Helper Tools for Australian Hydrologists
Description: Functions to speed up work flow for hydrological analysis. Focused on Australian climate data (SILO climate data), hydrological models (eWater Source) and in particular South Australia (<https://water.data.sa.gov.au> hydrological data).
Author: Matt Gibbs [aut, cre]
Maintainer: Matt Gibbs <gibbs.ms@gmail.com>

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Package reproducer updated to version 0.7.0 with previous version 0.6.0 dated 2026-06-09

Title: Reproduce Statistical Analyses and Meta-Analyses
Description: Includes data analysis and meta-analysis functions (e.g., to calculate effect sizes and 95% Confidence Intervals (CI) on Standardised Effect Sizes (d) for AB/BA cross-over repeated-measures experimental designs), data presentation functions (e.g., density curve overlaid on histogram),and the data sets analyzed in different research papers in software engineering (e.g., related to software defect prediction or multi- site experiment concerning the extent to which structured abstracts were clearer and more complete than conventional abstracts) to streamline reproducible research in software engineering.
Author: Lech Madeyski [cre, aut, ctb] , Barbara Kitchenham [aut, ctb] , Tomasz Lewowski [aut, ctb] , Marian Jureczko [ctb] , David Budgen [ctb] , Pearl Brereton [ctb] , Jacky Keung [ctb] , Stuart Charters [ctb] , Shirley Gibbs [ctb] , Amnart Pohthong [ctb] , [...truncated...]
Maintainer: Lech Madeyski <lech.madeyski@gmail.com>

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Package RcppMeCab updated to version 0.0.1.6 with previous version 0.0.1.5 dated 2026-03-24

Title: 'rcpp' Wrapper for 'mecab' Library
Description: R package based on 'Rcpp' for 'MeCab': Yet Another Part-of-Speech and Morphological Analyzer. The purpose of this package is providing a seamless developing and analyzing environment for CJK texts. This package utilizes parallel programming for providing highly efficient text preprocessing 'posParallel()' function. For installation, please refer to README.md file.
Author: Junhewk Kim [aut, cre], Taku Kudo [aut], Akiru Kato [ctb], Patrick Schratz [ctb]
Maintainer: Junhewk Kim <junhewk.kim@gmail.com>

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Package datadiff updated to version 0.6.0 with previous version 0.5.0 dated 2026-06-18

Title: Data Validation Based on 'YAML' Rules
Description: A comprehensive data validation package that allows comparing datasets using configurable validation rules defined in 'YAML' files. Built on top of the 'pointblank' package for robust data validation, it supports exact matching, tolerance-based numeric comparisons, text normalization, and row count validation.
Author: Vincent Guyader [cre, aut] , ThinkR [cph], Agence technique de l'information sur l'hospitalisation [spn]
Maintainer: Vincent Guyader <vincent@thinkr.fr>

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Package Nematode updated to version 0.3.1 with previous version 0.3.0 dated 2026-04-07

Title: Ecological Indices Calculator for Nematode Communities
Description: Provides a computational toolkit for analyzing nematode communities in ecological studies. Includes methods to quantify nematode-based ecological indicators such as metabolic footprints, energy flow metrics, and community structure. These tools support assessments of soil health, ecosystem functioning, and trophic interactions, standardizing the use of nematodes as bioindicators.
Author: Yuxuan He [aut, cre] , Dong Wang [ths], Yuan Miao [ths]
Maintainer: Yuxuan He <heyuxuan0525@outlook.com>

Diff between Nematode versions 0.3.0 dated 2026-04-07 and 0.3.1 dated 2026-07-12

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Package tarchives readmission to version 0.2.0 with previous version 0.1.1 dated 2025-06-22

Title: Make Your 'targets' Pipelines into a Package
Description: Runs 'targets' pipelines bundled inside a package and caches the results in the R user cache directory, so that users of the package do not need to rerun the pipeline themselves. Package authors can update the cached results at any time by releasing a new package version.
Author: Mizuki Uchida [aut, cre, cph]
Maintainer: Mizuki Uchida <uchidamizuki@vivaldi.net>

This is a re-admission after prior archival of version 0.1.1 dated 2025-06-22

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Package mvtnorm updated to version 1.4-2 with previous version 1.4-1 dated 2026-06-06

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

Diff between mvtnorm versions 1.4-1 dated 2026-06-06 and 1.4-2 dated 2026-07-12

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Package isocat updated to version 1.0.1 with previous version 1.0.0 dated 2026-07-09

Title: Isotope Origin Clustering and Assignment Tools
Description: This resource provides tools to create, compare, and post-process spatial isotope assignment models of animal origin. It generates probability-of-origin maps for individuals based on user-provided tissue and environment isotope values (e.g., as generated by IsoMAP, Bowen et al. [2013] <doi:10.1111/2041-210X.12147>) using the framework established in Bowen et al. (2010) <doi:10.1146/annurev-earth-040809-152429>). The package 'isocat' can then quantitatively compare and cluster these maps to group individuals by similar origin. It also includes techniques for applying four approaches (cumulative sum, odds ratio, quantile only, and quantile simulation) with which users can summarize geographic origins and probable distance traveled by individuals. Campbell et al. [2020] establishes several of the functions included in this package <doi:10.1515/ami-2020-0004>.
Author: Caitlin Campbell [aut, cre]
Maintainer: Caitlin Campbell <caitjcampbell@gmail.com>

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Package alphaN updated to version 0.2.0 with previous version 0.1.2 dated 2025-07-13

Title: Set Alpha Based on Sample Size Using Bayes Factors
Description: Sets the alpha level for coefficients in a regression model as a decreasing function of the sample size through the use of Jeffreys' Approximate Bayes factor. You tell alphaN() your sample size, and it tells you to which value you must lower alpha to avoid Lindley's Paradox. For details, see Wulff and Taylor (2024) <doi:10.1177/14761270231214429>. Alpha can also be calibrated to the effect-size and moment Bayes factors of Klauer, Meyer-Grant, and Kellen (2024) <doi:10.3758/s13423-024-02612-2>, which center the alternative hypothesis on an effect size of your choosing.
Author: Jesper Wulff [aut, cre] , Luke Taylor [aut]
Maintainer: Jesper Wulff <jwulff@econ.au.dk>

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Package sandwich updated to version 3.1-2 with previous version 3.1-1 dated 2024-09-15

Title: Robust Covariance Matrix Estimators
Description: Object-oriented software for model-robust covariance matrix estimators. Starting out from the basic robust Eicker-Huber-White sandwich covariance methods include: heteroscedasticity-consistent (HC) covariances for cross-section data; heteroscedasticity- and autocorrelation-consistent (HAC) covariances for time series data (such as Andrews' kernel HAC, Newey-West, and WEAVE estimators); clustered covariances (one-way and multi-way); panel and panel-corrected covariances; outer-product-of-gradients covariances; and (clustered) bootstrap covariances. All methods are applicable to (generalized) linear model objects fitted by lm() and glm() but can also be adapted to other classes through S3 methods. Details can be found in Zeileis et al. (2020) <doi:10.18637/jss.v095.i01>, Zeileis (2004) <doi:10.18637/jss.v011.i10> and Zeileis (2006) <doi:10.18637/jss.v016.i09>.
Author: Achim Zeileis [aut, cre] , Thomas Lumley [aut] , Nathaniel Graham [ctb] , Susanne Koell [ctb]
Maintainer: Achim Zeileis <Achim.Zeileis@R-project.org>

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Package rYWAASB updated to version 0.4.1 with previous version 0.4 dated 2026-06-10

Title: Simultaneous Selection by Trait and WAASB Index
Description: This tool proposes a new ranking algorithm that utilizes a "Y*WAASB" biplot generated by the 'metan'. The aim of the current package is to effectively distinguish the top-ranked genotypes in MET (Multi-Environmental Trials). For a detailed explanation of the process of obtaining "WAASB", "WAASBY" indices, and a "Y*WAASB" biplot, refer to the manual included in this package as well as the study by Olivoto & Lúcio (2020) <doi:10.1111/2041-210X.13384>. In this context, "WAASB" refers to the "Weighted Average of Absolute Scores" provided by Olivoto et al. (2019) <doi:10.2134/agronj2019.03.0220>, which quantifies the stability of genotypes across different environments using linear mixed-effect models. To run the package, you need to extract the "WAASB" and "WAASBY" coefficients using the 'metan' and apply them. This tool utilizes PCA (Principal Component Analysis) and differentiates the entries which may be genotypes, hybrids, varieties, etc using "WAASB", "WAASBY", and a c [...truncated...]
Author: Ali Arminian [aut, cre, cph]
Maintainer: Ali Arminian <abeyran@gmail.com>

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Package partykit updated to version 1.2-28 with previous version 1.2-27 dated 2026-03-13

Title: A Toolkit for Recursive Partytioning
Description: A toolkit with infrastructure for representing, summarizing, and visualizing tree-structured regression and classification models. This unified infrastructure can be used for reading/coercing tree models from different sources ('rpart', 'RWeka', 'PMML') yielding objects that share functionality for print()/plot()/predict() methods. Furthermore, new and improved reimplementations of conditional inference trees (ctree()) and model-based recursive partitioning (mob()) from the 'party' package are provided based on the new infrastructure. A description of this package was published by Hothorn and Zeileis (2015) <https://jmlr.org/papers/v16/hothorn15a.html>.
Author: Torsten Hothorn [aut, cre] , Heidi Seibold [ctb] , Achim Zeileis [aut]
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

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Package party updated to version 1.3-21 with previous version 1.3-20 dated 2026-03-26

Title: A Laboratory for Recursive Partytioning
Description: A computational toolbox for recursive partitioning. The core of the package is ctree(), an implementation of conditional inference trees which embed tree-structured regression models into a well defined theory of conditional inference procedures. This non-parametric class of regression trees is applicable to all kinds of regression problems, including nominal, ordinal, numeric, censored as well as multivariate response variables and arbitrary measurement scales of the covariates. Based on conditional inference trees, cforest() provides an implementation of Breiman's random forests. The function mob() implements an algorithm for recursive partitioning based on parametric models (e.g. linear models, GLMs or survival regression) employing parameter instability tests for split selection. Extensible functionality for visualizing tree-structured regression models is available. The methods are described in Hothorn et al. (2006) <doi:10.1198/106186006X133933>, Zeileis et al. (2008) <d [...truncated...]
Author: Torsten Hothorn [aut, cre] , Kurt Hornik [aut] , Carolin Strobl [aut] , Achim Zeileis [aut]
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

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Package npi updated to version 0.3.0 with previous version 0.2.0 dated 2022-11-14

Title: Access the U.S. National Provider Identifier Registry API
Description: Access the United States National Provider Identifier Registry API <https://npiregistry.cms.hhs.gov/api/>. Obtain and transform administrative data linked to a specific individual or organizational healthcare provider, or perform advanced searches based on provider name, location, type of service, credentials, and other attributes exposed by the API.
Author: Frank Farach [cre, aut, cph] , Sam Parmar [ctb], Matthias Grenie [rev] , Emily C. Zabor [rev]
Maintainer: Frank Farach <frank.farach@gmail.com>

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Package multcomp updated to version 1.4-31 with previous version 1.4-30 dated 2026-03-09

Title: Simultaneous Inference in General Parametric Models
Description: Simultaneous tests and confidence intervals for general linear hypotheses in parametric models, including linear, generalized linear, linear mixed effects, and survival models. The package includes demos reproducing analyzes presented in the book "Multiple Comparisons Using R" (Bretz, Hothorn, Westfall, 2010, CRC Press).
Author: Torsten Hothorn [aut, cre] , Frank Bretz [aut], Peter Westfall [aut], Richard M. Heiberger [ctb], Andre Schuetzenmeister [ctb], Susan Scheibe [ctb], Christian Ritz [ctb], Christian B. Pipper [ctb]
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

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Package colorspace updated to version 2.1-3 with previous version 2.1-2 dated 2025-09-22

Title: A Toolbox for Manipulating and Assessing Colors and Palettes
Description: Carries out mapping between assorted color spaces including RGB, HSV, HLS, CIEXYZ, CIELUV, HCL (polar CIELUV), CIELAB, and polar CIELAB. Qualitative, sequential, and diverging color palettes based on HCL colors are provided along with corresponding ggplot2 color scales. Color palette choice is aided by an interactive app (with either a Tcl/Tk or a shiny graphical user interface) and shiny apps with an HCL color picker and a color vision deficiency emulator. Plotting functions for displaying and assessing palettes include color swatches, visualizations of the HCL space, and trajectories in HCL and/or RGB spectrum. Color manipulation functions include: desaturation, lightening/darkening, mixing, and simulation of color vision deficiencies (deutanomaly, protanomaly, tritanomaly). Details can be found on the project web page at <https://colorspace.R-Forge.R-project.org/> and in the accompanying scientific paper: Zeileis et al. (2020, Journal of Statistical Software, <doi:10.18637/ [...truncated...]
Author: Ross Ihaka [aut], Paul Murrell [aut] , Kurt Hornik [aut] , Jason C. Fisher [aut] , Reto Stauffer [aut] , Claus O. Wilke [aut] , Claire D. McWhite [aut] , Achim Zeileis [aut, cre]
Maintainer: Achim Zeileis <Achim.Zeileis@R-project.org>

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Package wooldridge updated to version 1.4-7 with previous version 1.4-4 dated 2024-12-04

Title: 115 Data Sets from "Introductory Econometrics: A Modern Approach, 8e" by Jeffrey M. Wooldridge
Description: Students learning both econometrics and R may find the introduction to both challenging. The wooldridge data package aims to lighten the task by efficiently loading any data set found in the text with a single command. Data sets have been compressed to a fraction of their original size. Documentation files contain page numbers, the original source, time of publication, and notes from the author suggesting avenues for further analysis and research. If one needs an introduction to R model syntax, a vignette contains solutions to examples from chapters of the text. Data sets are from the 7th edition (Wooldridge 2020, ISBN-13 978-1-337-55886-0), and are backwards compatible with all previous versions of the text.
Author: Justin M. Shea [aut, cre], Kennth H. Brown [ctb]
Maintainer: Justin M. Shea <jshea01@uic.edu>

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Package okxr updated to version 0.4.7 with previous version 0.4.5 dated 2026-05-08

Title: R Interface to the 'OKX' REST API
Description: Provides lightweight R wrappers for the 'OKX' REST API, covering endpoints for market data, trading, account management, asset balances, and copy trading. The upstream API reference is available at <https://www.okx.com/docs-v5/en/>.
Author: Oliver Zhou [aut, cre], Lily Li [aut]
Maintainer: Oliver Zhou <oliver.yxzhou@gmail.com>

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Package nebula updated to version 1.5.8 with previous version 1.5.6 dated 2025-12-07

Title: Negative Binomial Mixed Models Using Large-Sample Approximation for Differential Expression Analysis of ScRNA-Seq Data
Description: A fast negative binomial mixed model for conducting association analysis of multi-subject single-cell data. It can be used for identifying marker genes, differential expression and co-expression analyses. The model includes subject-level random effects to account for the hierarchical structure in multi-subject single-cell data. See He et al. (2021) <doi:10.1038/s42003-021-02146-6>.
Author: Liang He [aut, cre], Raghav Sharma [ctb]
Maintainer: Liang He <hyx520101@gmail.com>

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Package lme4breeding updated to version 1.1.3 with previous version 1.1.2 dated 2026-05-20

Title: Breeding-Related Mixed-Effects Models
Description: Fit relationship-based and customized mixed-effects models with complex variance-covariance structures using the 'lme4' machinery. The core computational algorithms are implemented using the 'Eigen' 'C++' library for numerical linear algebra and 'RcppEigen' 'glue'.
Author: Giovanny Covarrubias-Pazaran [aut, cre]
Maintainer: Giovanny Covarrubias-Pazaran <cova_ruber@live.com.mx>

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Package ciuupi2 updated to version 1.0.2 with previous version 1.0.1 dated 2021-03-11

Title: Kabaila and Giri (2009) Confidence Interval
Description: Computes a confidence interval for a specified linear combination of the regression parameters in a linear regression model with iid normal errors with unknown variance when there is uncertain prior information that a distinct specified linear combination of the regression parameters takes a specified number. This confidence interval, found by numerical nonlinear constrained optimization, has the required minimum coverage and utilizes this uncertain prior information through desirable expected length properties. This confidence interval is proposed by Kabaila, P. and Giri, K. (2009) <doi:10.1016/j.jspi.2009.03.018>.
Author: Nishika Ranathunga [aut], Paul Kabaila [aut, cre]
Maintainer: Paul Kabaila <P.Kabaila@latrobe.edu.au>

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Sat, 11 Jul 2026

Package medicalcoder updated to version 0.9.0 with previous version 0.8.1 dated 2026-05-05

Title: A Unified and Longitudinally Aware Framework for ICD-Based Comorbidity Assessment
Description: Provides comorbidity classification algorithms such as the Pediatric Complex Chronic Conditions (PCCC), Charlson, and Elixhauser indices, supports longitudinal comorbidity flagging across encounters, and includes utilities for working with medical coding schemas such as the International Classification of Diseases (ICD).
Author: Peter DeWitt [aut, cre, cov] , Tell Bennett [ctb] , Seth Russell [ctb] , Meg Rebull [ctb] , Vincent Rubinetti [cov]
Maintainer: Peter DeWitt <peter.dewitt@cuanschutz.edu>

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Package statpsych updated to version 2.0.0 with previous version 1.9.0 dated 2026-01-12

Title: Statistical Methods for Psychologists
Description: Implements confidence interval and sample size methods that are especially useful in psychological research but are also useful in educational, social science, business, and biological research. This package includes more than 100 confidence interval functions and more than 80 sample size functions for 1-group, 2-group, paired-samples, and multiple-group designs and for a variety of parameters including means, medians, proportions, slopes, standardized mean differences, standardized linear contrasts of means, and several measures of correlation and association. The sample size functions can be used to approximate the sample size needed to estimate a parameter or function of parameters with desired confidence interval precision or to perform a variety of hypothesis tests (directional two-sided, equivalence, superiority, noninferiority) with desired power. For details about these methods see: Statistical Methods for Psychologists, Volumes 1 – 4, <https://dgbonett.sites.ucsc.edu/>.
Author: Douglas G. Bonett [aut, cre], Robert J. Calin-Jageman [ctb]
Maintainer: Douglas G. Bonett <dgbonett@ucsc.edu>

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Package zarr updated to version 0.4.2 with previous version 0.4.1 dated 2026-06-14

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

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Package Romeb updated to version 0.2.0 with previous version 0.1.2 dated 2025-11-17

Title: Robust Median-Based Bayesian Growth Curve Modeling
Description: Implements robust median-based Bayesian linear growth curve models for complete data and for data with Missing Completely at Random (MCAR), Missing At Random (MAR), or Missing Not At Random (MNAR) mechanisms. Models are fitted using 'rjags' through 'JAGS' and posterior summaries are computed with 'coda'. The main function allows users to specify outcome variables, auxiliary variables for MNAR missingness models, prior hyperparameters, and initial values directly through function arguments.
Author: Dandan Tang [aut, cre] , Xin Tong [aut]
Maintainer: Dandan Tang <tangdd20@gmail.com>

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Package surveyframe updated to version 0.3.3 with previous version 0.3.2 dated 2026-06-17

Title: Survey Instrument Workflows
Description: Supports survey research workflows built around a typed instrument object (the sframe). Features include visual instrument design via a browser-based builder or 'Shiny' studio, export to a self-contained static HTML survey, an embeddable 'Shiny' module, SHA-256 integrity-checked serialisation to the '.sframe' format, multi-page survey rendering, branching logic, response quality checking, scale scoring, psychometric diagnostics, analysis-plan execution, model syntax planning, an interactive response dashboard, codebook generation, and reproducible HTML reporting.
Author: Mohammed Ali Sharafuddin [aut, cre]
Maintainer: Mohammed Ali Sharafuddin <mohammedali.page@gmail.com>

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Package lsr updated to version 1.0.0 with previous version 0.5.2 dated 2021-12-01

Title: Companion to "Learning Statistics with R"
Description: A collection of tools intended to make introductory statistics easier to teach, including wrappers for common hypothesis tests and basic data manipulation. Accompanies the textbook "Learning Statistics with R: A Tutorial for Psychology Students and Other Beginners" by Navarro.
Author: Danielle Navarro [aut, cre]
Maintainer: Danielle Navarro <djnavarro@protonmail.com>

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Package cxreg updated to version 1.1.4 with previous version 1.1.2 dated 2026-07-05

Title: Complex-Valued Lasso and Complex-Valued Graphical Lasso
Description: Implements 'glmnet'-style complex-valued lasso (CLASSO) and complex-valued graphical lasso (CGLASSO) via a pathwise coordinate descent algorithm for complex-valued parameters, using an isomorphism between complex numbers and 2x2 orthogonal matrices. Also provides a full inference pipeline for high-dimensional sparse spectral precision matrices, including data-driven bandwidth selection, one-step debiasing, asymptotic variance estimation, entry-wise confidence regions, and FDR-controlled hypothesis testing. Supporting tools for cross-validation, simulation, coefficient extraction, and plotting are included. See Deb, Kuceyeski, and Basu (2024) <doi:10.48550/arXiv.2401.11128> and Deb, Kim, and Basu (2026) <doi:10.48550/arXiv.2606.07986>.
Author: Younghoon Kim [aut, cre], Navonil Deb [aut], Sumanta Basu [aut]
Maintainer: Younghoon Kim <ykim124@ua.edu>

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Package osrm.backend updated to version 0.4.0 with previous version 0.3.1 dated 2026-04-26

Title: Bindings for 'Open Source Routing Machine'
Description: Install and control 'Open Source Routing Machine' ('OSRM') backend executables to prepare routing data and run/stop a local 'OSRM' server. For computations with the running server use the 'osrm' package for 'R' (<https://cran.r-project.org/package=osrm>).
Author: Egor Kotov [aut, cre, cph]
Maintainer: Egor Kotov <kotov.egor@gmail.com>

Diff between osrm.backend versions 0.3.1 dated 2026-04-26 and 0.4.0 dated 2026-07-11

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Package AER updated to version 1.2-17 with previous version 1.2-16 dated 2026-02-09

Title: Applied Econometrics with R
Description: Functions, data sets, examples, demos, and vignettes for the book Christian Kleiber and Achim Zeileis (2008), Applied Econometrics with R, Springer-Verlag, New York. ISBN 978-0-387-77316-2. <doi:10.1007/978-0-387-77318-6> (See the vignette "AER" for a package overview.)
Author: Christian Kleiber [aut] , Achim Zeileis [aut, cre]
Maintainer: Achim Zeileis <Achim.Zeileis@R-project.org>

Diff between AER versions 1.2-16 dated 2026-02-09 and 1.2-17 dated 2026-07-11

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Package treasury updated to version 0.6.0 with previous version 0.5.0 dated 2026-03-21

Title: Client for US Treasury XML Feed and Published Data
Description: Download daily interest rates from the US Treasury XML feed. Leveraging <https://home.treasury.gov/treasury-daily-interest-rate-xml-feed>, this package serves as a wrapper, facilitating the retrieval of daily treasury rates across various categories, including par yield curves, treasury bills, long-term rates, and real yield curves.
Author: Maximilian Muecke [aut, cre]
Maintainer: Maximilian Muecke <muecke.maximilian@gmail.com>

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Package rlibkriging updated to version 1.1-0 with previous version 1.0-0 dated 2026-05-13

Title: Kriging Models using the 'libKriging' Library
Description: Interface to 'libKriging' 'C++' library <https://github.com/libKriging> that should provide most standard Kriging / Gaussian process regression features (like in 'DiceKriging', 'kergp' or 'RobustGaSP' packages). 'libKriging' relies on Armadillo linear algebra library (Apache 2 license) by Conrad Sanderson, 'lbfgsb_cpp' is a 'C++' port around by Pascal Have of 'lbfgsb' library (BSD-3 license) by Ciyou Zhu, Richard Byrd, Jorge Nocedal and Jose Luis Morales used for hyperparameters optimization.
Author: Yann Richet [aut, cre] , Pascal Have [aut], Yves Deville [aut], Conrad Sanderson [ctb], Ciyou Zhu [ctb], Richard Byrd [ctb], Jorge Nocedal [ctb], Jose Luis Morales [ctb], Mike Smith [ctb]
Maintainer: Yann Richet <yann.richet@asnr.fr>

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Package Qploidy updated to version 1.5.4 with previous version 1.0.1 dated 2025-05-01

Title: Estimation of Ploidy and Detection of Aneuploidy Using Genotyping Data
Description: Provides functions for estimating ploidy levels and detecting aneuploidy in individuals using allele intensities or allele count data from high-throughput genotyping platforms, including single nucleotide polymorphism (SNP) arrays and sequencing-based technologies. Implements method described in Taniguti et al. (2025) <doi:10.1002/tpg2.70044> an extended version of the 'PennCNV' signal standardization method by Wang et al. (2007) <doi:10.1101/gr.6861907> for higher ploidy levels. Computes B-allele frequencies (BAF), z-scores, and identifies copy number variation patterns.
Author: Cristiane Taniguti [cre, aut], Jeekin Lau [ctb], Oscar Riera-Lizarazu [ctb]
Maintainer: Cristiane Taniguti <ctaniguti@ufl.edu>

Diff between Qploidy versions 1.0.1 dated 2025-05-01 and 1.5.4 dated 2026-07-11

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Package opencltools updated to version 0.8.2 with previous version 0.8.1 dated 2026-06-03

Title: 'OpenCL' Tools for R Package Developers
Description: Runtime 'OpenCL' support for R package developers: probe hardware and drivers, load and concatenate kernel sources, and manage dependency-annotated '.cl' libraries, so packages like 'nmathopencl' and other ported libraries can offer GPU acceleration without each re-implementing the same plumbing. Vignettes illustrate integration with suggested packages 'nmathopencl' and 'glmbayes'; production kernels for those applications ship in those packages rather than here.
Author: Kjell Nygren [aut, cre], The R Core Team [ctb, cph] , The R Foundation [cph] , Ross Ihaka [ctb, cph] , Robert Gentleman [ctb, cph] , Simon Davies [ctb] , Morten Welinder [ctb, cph] , Martin Maechler [ctb]
Maintainer: Kjell Nygren <kjell.a.nygren@gmail.com>

Diff between opencltools versions 0.8.1 dated 2026-06-03 and 0.8.2 dated 2026-07-11

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Package gunit updated to version 1.0.3 with previous version 1.0.2 dated 2022-10-18

Title: Converts Conductance Units
Description: For plant physiologists, converts conductance (e.g. stomatal conductance) to different units: m/s, mol/m^2/s, and umol/m^2/s/Pa.
Author: Chris Muir [aut, cre]
Maintainer: Chris Muir <cdmuir@wisc.edu>

Diff between gunit versions 1.0.2 dated 2022-10-18 and 1.0.3 dated 2026-07-11

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Package chessResults updated to version 2026.07.12 with previous version 2026.07.05 dated 2026-07-11

Title: Scraper for Chess-Results.com
Description: Scrape data from <https://chess-results.com> and get a clean 'tibble'. Currently supports tournament information, starting rank, playing schedule, pairings/results for rounds, and closing rank. All requests to the <https://chess-results.com> server are made using 'polite'.
Author: Sirf Haru [aut, cre, cph]
Maintainer: Sirf Haru <sirfharu@proton.me>

Diff between chessResults versions 2026.07.05 dated 2026-07-11 and 2026.07.12 dated 2026-07-11

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Package biogeom updated to version 1.5.2 with previous version 1.5.1 dated 2026-04-16

Title: Biological Geometries
Description: Is used to simulate and fit biological geometries. 'biogeom' incorporates several novel universal parametric equations that can generate the profiles of bird eggs, flowers, linear and lanceolate leaves, seeds, starfish, and tree-rings (Gielis (2003) <doi:10.3732/ajb.90.3.333>; Shi et al. (2020) <doi:10.3390/sym12040645>), three growth-rate curves representing the ontogenetic growth trajectories of animals and plants against time, and the axially symmetrical and integral forms of all these functions (Shi et al. (2017) <doi:10.1016/j.ecolmodel.2017.01.012>; Shi et al. (2021) <doi:10.3390/sym13081524>). The optimization method proposed by Nelder and Mead (1965) <doi:10.1093/comjnl/7.4.308> was used to estimate model parameters. 'biogeom' includes several real data sets of the boundary coordinates of natural shapes, including avian eggs, fruit, lanceolate and ovate leaves, tree rings, seeds, and sea stars,and can be potentially applied to other natural shapes. [...truncated...]
Author: Peijian Shi [aut, cre], Johan Gielis [aut], Brady K. Quinn [aut]
Maintainer: Peijian Shi <pjshi@njfu.edu.cn>

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Package INLAvaan updated to version 0.3.0 with previous version 0.2.5 dated 2026-06-11

Title: Approximate Bayesian Latent Variable Analysis
Description: Implements approximate Bayesian inference for Structural Equation Models (SEM) using a custom adaptation of the Integrated Nested Laplace Approximation (Rue et al., 2009) <doi:10.1111/j.1467-9868.2008.00700.x> as described in Jamil and Rue (2026a) <doi:10.48550/arXiv.2603.25690>. Provides a computationally efficient alternative to Markov Chain Monte Carlo (MCMC) for Bayesian estimation, allowing users to fit latent variable models using the 'lavaan' syntax. See also the companion paper on implementation and workflows, Jamil and Rue (2026b) <doi:10.48550/arXiv.2604.00671>.
Author: Haziq Jamil [aut, cre, cph] , Havard Rue [ctb] , Alvin Bong [ctb]
Maintainer: Haziq Jamil <haziq.jamil@gmail.com>

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More information about INLAvaan at CRAN
Permanent link

New package volcanoes with initial version 0.1.1
Package: volcanoes
Title: Holocene Volcanoes, Eruptions, and Eruption Events
Version: 0.1.1
Description: Tidy snapshots of the Smithsonian Institution Global Volcanism Program's Volcanoes of the World database. Provides three data frames covering Holocene volcanoes, their eruptions, and the events recorded during those eruptions. The schema follows the layout popularized by the 'rfordatascience/tidytuesday' 2020-05-12 release, refreshed against the current Global Volcanism Program database.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
LazyData: true
LazyDataCompression: xz
Depends: R (>= 3.5)
URL: https://moderndive.github.io/volcanoes/, https://github.com/moderndive/volcanoes, https://volcano.si.edu/
BugReports: https://github.com/moderndive/volcanoes/issues
Suggests: dplyr, fs, janitor, pkgdown, purrr, readr, rvest, tibble, usethis
NeedsCompilation: no
Packaged: 2026-07-05 14:46:33 UTC; chesterismay
Author: Chester Ismay [aut, cre]
Maintainer: Chester Ismay <chester.ismay@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-11 09:20:02 UTC

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New package saeproj.multilevel with initial version 0.1.0
Package: saeproj.multilevel
Title: Small Area Estimation Using a Projection Estimator with a Multilevel Regression Model
Version: 0.1.0
Description: Provides tools for small area estimation using a projection estimator with a linear multilevel working model. The main function fits a multilevel model to a smaller survey containing the response variable and auxiliary predictors, predicts outcomes in a larger projection survey, and computes domain-level estimates with a design-based residual correction.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
Depends: R (>= 3.5)
Imports: cli, dplyr, lme4, reformulas, survey, stats, utils
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://github.com/rahmanazlya02/saeproj.multilevel
BugReports: https://github.com/rahmanazlya02/saeproj.multilevel/issues
NeedsCompilation: no
Packaged: 2026-07-05 17:00:31 UTC; Nazlya
Author: Nazlya Rahma Susanto [aut, cre], Azka Ubaidillah [aut]
Maintainer: Nazlya Rahma Susanto <susantonazlya@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-11 09:30:02 UTC

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New package lbugr with initial version 0.1.1
Package: lbugr
Title: Interface to 'ladybug' Graph Database
Version: 0.1.1
Maintainer: Manuel Wick-Eckl <manuel.wick@gmail.com>
Description: Provides a high-performance 'R' interface to the 'ladybug' graph database. Uses the 'reticulate' package to wrap the official Python 'ladybug' client. Enables seamless interaction with 'Ladybug' from within 'R' for managing database connections, executing 'Cypher' queries, and loading data from 'R' data frames. Converts query results into popular 'R' data structures including 'tibble', 'igraph', 'tidygraph', and 'g6R' objects for analysis and visualization workflows.
URL: https://wickm.github.io/lbugr/, https://github.com/WickM/lbugr
BugReports: https://github.com/WickM/lbugr/issues
License: MIT + file LICENSE
Imports: reticulate, digest, tibble
Suggests: g6R, igraph, tidygraph, ggraph, ggplot2, jsonlite, testthat (>= 3.0.0), knitr, rmarkdown, spelling, arrow, withr
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2026-07-05 20:26:13 UTC; krist
Author: Manuel Wick-Eckl [aut, cre, cph]
Repository: CRAN
Date/Publication: 2026-07-11 09:40:02 UTC

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New package ggchord2 with initial version 0.0.1
Package: ggchord2
Title: Chord Diagrams with 'ggplot2'
Version: 0.0.1
Description: A 'ggplot2' extension that provides functions for drawing chord diagrams for visualising flows between categories. The package extends 'ggplot2' by adding geoms and stats for drawing chord sectors, arcs, and labels.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: geomtextpath, ggplot2 (>= 3.4.0), rlang
Suggests: dplyr, knitr, rmarkdown
VignetteBuilder: knitr
URL: https://nrennie.gitlab.io/ggchord2/
NeedsCompilation: no
Packaged: 2026-07-05 15:48:06 UTC; nrenn
Author: Nicola Rennie [aut, cre, cph]
Maintainer: Nicola Rennie <nrennie.research@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-11 09:20:07 UTC

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New package exoplanetdata with initial version 0.1.0
Package: exoplanetdata
Title: Exoplanet Datasets for Teaching Introductory Statistics
Version: 0.1.0
Description: Tidied datasets of confirmed exoplanets and their host stars, retrieved from NASA's Exoplanet Archive via the 'REXoplanets' package. Column names have been simplified for classroom use, with units baked into names where ambiguous. Intended as a companion dataset for introductory statistics teaching in the spirit of the 'ModernDive' textbook.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
Depends: R (>= 4.1)
Suggests: REXoplanets, dplyr, readr, tibble, purrr, roxygen2
URL: https://github.com/moderndive/exoplanetdata, https://moderndive.github.io/exoplanetdata/
BugReports: https://github.com/moderndive/exoplanetdata/issues
NeedsCompilation: no
Packaged: 2026-07-05 14:19:27 UTC; chesterismay
Author: Chester Ismay [aut, cre]
Maintainer: Chester Ismay <chester.ismay@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-11 09:20:13 UTC

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New package bifactory with initial version 0.5.1
Package: bifactory
Title: (Bifactor) ESEM with Continuous (MLR) or Ordered (WLSMV) Data
Version: 0.5.1
Description: Fits bifactor exploratory structural equation models (B-ESEM), together with standard exploratory structural equation modeling (ESEM) and confirmatory factor analysis (CFA), for continuous and ordered-categorical data. Continuous models use 'lavaan' native efa() blocks with robust maximum likelihood (MLR) estimation. Ordered-categorical ESEM defaults to the 'lavaan' weighted least squares mean- and variance-adjusted (WLSMV) estimator; ordered B-ESEM uses a custom diagonally weighted least squares (DWLS) path with polychoric correlations from 'psych', rotation-delta standard errors via 'numDeriv', and a mean- and variance-adjusted chi-square. Target, geomin, and oblimin rotations use 'GPArotation'; the bifactor ESEM approach follows Morin, Arens and Marsh (2016) <doi:10.1080/10705511.2014.961800>. Additional features include multi-group measurement invariance (configural through strict, with partial invariance), ESEM-within-CFA conversion, McDonald's omega reliability suite, and t [...truncated...]
License: AGPL-3
URL: https://github.com/leondebeer/bifactory
BugReports: https://github.com/leondebeer/bifactory/issues
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: lavaan (>= 0.6-21), GPArotation, psych, MASS, numDeriv, stats, utils, graphics, methods, withr
Suggests: MplusAutomation, openxlsx2, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-07-05 15:07:07 UTC; leond
Author: Leon T. De Beer [aut, cre]
Maintainer: Leon T. De Beer <leondb@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-11 09:30:08 UTC

More information about bifactory at CRAN
Permanent link

New package tseLCA with initial version 1.0.2
Package: tseLCA
Title: Three-Step Estimation for Latent Class Analysis
Version: 1.0.2
Description: Implements BCH (Bolck-Croon-Hagenaars) <doi:10.1093/pan/mph001> and ML (Vermunt's maximum likelihood) <doi:10.1093/pan/mpq025> approaches for three-step estimation of latent class models with covariates and distal outcomes, following Bakk, Tekle & Vermunt (2013) <doi:10.1177/0081175012470644>, Bakk, Oberski & Vermunt (2014) <https://www.jstor.org/stable/24573086>, and Bakk & Kuha (2018) <doi:10.1007/s11336-017-9592-7>. Built on 'multilevLCA' (Lyrvall et al., 2025) <doi:10.1080/00273171.2025.2473935> for Step-1 measurement model estimation, this package extends it with support for Gaussian, Poisson, and binomial distal outcome families. Unlike 'poLCA', which relies on one-step estimation and cannot accommodate a measurement model from a different sample, this package uses a stepwise approach to prevent the structural model from influencing latent class formation. Implements correct sandwich variance estimation that propagates measurement u [...truncated...]
License: GPL (>= 3)
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.1.0)
Imports: multilevLCA, cli
Suggests: poLCA, testthat (>= 3.0.0), parallel, knitr, rmarkdown, spelling
URL: https://samleebyu.github.io/tseLCA/, https://github.com/SamLeeBYU/tseLCA
BugReports: https://github.com/SamLeeBYU/tseLCA/issues
VignetteBuilder: knitr, rmarkdown
NeedsCompilation: no
Packaged: 2026-07-05 03:07:06 UTC; samle
Author: Sam Lee [aut, cre, cph] , Jay Goodliffe [ctb]
Maintainer: Sam Lee <samlee@arizona.edu>
Repository: CRAN
Date/Publication: 2026-07-11 08:40:02 UTC

More information about tseLCA at CRAN
Permanent link

New package TheOrdinals with initial version 0.1.0
Package: TheOrdinals
Title: Aggregation and Consensus Methods for Preference-Approvals
Version: 0.1.0
Description: Tools for aggregating ordinal preference data into a group consensus. The package implements DIVA (Divide and Conquer for Preference-Approvals), a distance-based aggregation method for preference-approvals, that is, preference data in which voters express both a (weak) ranking and an approval of the alternatives. The consensus is the preference-approval minimising the average distance to the set of voters, measured through the family of distances of Erdamar, Garcia-Lapresta, Perez-Roman and Sanver (2014) <doi:10.1016/j.mathsocsci.2013.10.005>. Methods and applications are described in Albano and Romano (2026) <doi:10.1007/s11634-025-00663-4>. The package is designed to be extended with further methods for ordinal preference data.
License: GPL-3
Encoding: UTF-8
Language: en-GB
Depends: R (>= 3.5.0)
Imports: ConsRank
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
LazyData: true
NeedsCompilation: no
Packaged: 2026-07-05 09:28:12 UTC; 39346
Author: Maurizio Romano [aut, cre], Alessandro Albano [aut]
Maintainer: Maurizio Romano <romano.maurizio@unica.it>
Repository: CRAN
Date/Publication: 2026-07-11 09:00:07 UTC

More information about TheOrdinals at CRAN
Permanent link

Package soilDB updated to version 2.9.2 with previous version 2.9.1 dated 2026-04-03

Title: Soil Database Interface
Description: A collection of functions for reading soil data from U.S. Department of Agriculture Natural Resources Conservation Service (USDA-NRCS) and National Cooperative Soil Survey (NCSS) databases.
Author: Dylan Beaudette [aut] , Jay Skovlin [aut], Stephen Roecker [aut], Andrew Brown [aut, cre]
Maintainer: Andrew Brown <andrew.g.brown@usda.gov>

Diff between soilDB versions 2.9.1 dated 2026-04-03 and 2.9.2 dated 2026-07-11

 DESCRIPTION                                  |    8 
 MD5                                          |  564 +-
 NAMESPACE                                    |  439 +-
 NEWS.md                                      | 1918 ++++-----
 R/AAAA.R                                     |  206 -
 R/ISSR800.R                                  |  543 +-
 R/KSSL_VG_model.R                            |  242 -
 R/OSDquery.R                                 |  324 -
 R/ROSETTA.R                                  |  544 +-
 R/SDA-spatial.R                              | 1096 ++---
 R/SDA_query.R                                |  720 +--
 R/SDA_utils.R                                |   66 
 R/SSURGO_spatial_query.R                     |  166 
 R/STR.R                                      |  694 +--
 R/SoilDataViewer.R                           |  267 -
 R/WCS-utils.R                                | 2363 ++++++++----
 R/aqp_data.R                                 |   96 
 R/createSSURGO.R                             | 1756 +++++---
 R/createStaticNASIS.R                        |  372 -
 R/database-sources.R                         |   34 
 R/dbQueryNASIS.R                             |  168 
 R/estimateColorMixture.R                     |  174 
 R/fetchEDIT_tools.R                          |  316 -
 R/fetchHWSD.R                                |  244 -
 R/fetchHenry.R                               |  902 ++--
 R/fetchKSSL.R                                |  898 ++--
 R/fetchLDM.R                                 |  765 +--
 R/fetchNASIS.R                               |  269 -
 R/fetchNASISLabData.R                        |  148 
 R/fetchNASISWebReport.R                      |  712 +--
 R/fetchNASIS_components.R                    |  382 -
 R/fetchNOAA.R                                |  262 -
 R/fetchOSD.R                                 |  922 ++--
 R/fetchPedonPC.R                             |  242 -
 R/fetchRaCA.R                                |  402 +-
 R/fetchSCAN.R                                | 1190 +++---
 R/fetchSDA_spatial.R                         |  776 +--
 R/fetchSOLUS.R                               |  734 +--
 R/fetchSRI.R                                 |  362 -
 R/fetchSoilGrids.R                           |  942 ++--
 R/fetchVegdata.R                             |  192 
 R/filter_KSSL.R                              |   88 
 R/getHzErrorsNASIS.R                         |   92 
 R/getHzErrorsPedonPC.R                       |   48 
 R/get_NASIS_table_key_by_name.R              |  126 
 R/get_NASIS_table_name_by_purpose.R          |  478 +-
 R/get_OSD.R                                  |  471 +-
 R/get_RMF_from_NASIS_db.R                    |  136 
 R/get_SDA_NASIS_keys.R                       |  156 
 R/get_SDA_coecoclass.R                       |  646 +--
 R/get_SDA_cosurfmorph.R                      |  372 -
 R/get_SDA_hydric.R                           |  264 -
 R/get_SDA_interpretation.R                   | 2042 +++++-----
 R/get_SDA_metrics.R                          |  124 
 R/get_SDA_muaggatt.R                         |  100 
 R/get_SDA_pmgroupname.R                      |  434 +-
 R/get_SDA_property.R                         | 1452 +++----
 R/get_SSURGO_utils.R                         |  739 +--
 R/get_colors_from_NASIS_db.R                 |  286 -
 R/get_component_data_from_NASIS_db.R         | 1380 +++----
 R/get_component_from_GDB.R                   | 1589 ++++----
 R/get_component_from_SDA.R                   | 2066 +++++-----
 R/get_concentrations_from_NASIS_db.R         |  102 
 R/get_cosoilmoist_from_NASIS.R               |  134 
 R/get_cosoilmoist_from_NASISWebReport.R      |   86 
 R/get_cosoilmoist_from_SDA.R                 |   90 
 R/get_ecosite_history_from_NASIS_db.R        |   92 
 R/get_extended_data_from_NASIS_db.R          |  690 +--
 R/get_extended_data_from_pedon_db.R          |  286 -
 R/get_hz_data_from_NASIS_db.R                |  138 
 R/get_hz_data_from_pedon_db.R                |  168 
 R/get_lablayer_data_from_NASIS_db.R          |  120 
 R/get_labpedon_data_from_NASIS_db.R          |   76 
 R/get_mapunit_from_NASIS.R                   |  376 -
 R/get_phfmp_from_NASIS_db.R                  |   60 
 R/get_phlabresults_data_from_NASIS_db.R      |  276 -
 R/get_phroots_from_NASIS_db.R                |  102 
 R/get_project_from_NASIS.R                   |  192 
 R/get_site_data_from_NASIS_db.R              |  512 +-
 R/get_site_data_from_pedon_db.R              |  190 
 R/get_soilseries_from_NASIS.R                |  240 -
 R/get_text_notes_from_NASIS_db.R             |  366 -
 R/get_veg_data_from_NASIS_db.R               |  134 
 R/get_veg_from_AK_Site.R                     |   88 
 R/get_veg_from_MT_veg_db.R                   |   84 
 R/get_veg_from_NPS_PLOTS_db.R                |   78 
 R/get_veg_other_from_MT_veg_db.R             |   84 
 R/get_veg_species_from_MT_veg_db.R           |   80 
 R/get_vegplot_data_from_NASIS_db.R           | 1178 ++---
 R/mukey-WCS.R                                |  554 +-
 R/openNASISchannel.R                         |  188 
 R/parseWebReport.R                           |  246 -
 R/seriesExtent.R                             |  323 -
 R/siblings.R                                 |  272 -
 R/simplifyArtifactData.R                     |  298 -
 R/simplifyColorData.R                        |  366 -
 R/simplifyFragmentData.R                     |  526 +-
 R/soilColorWCS.R                             |  492 +-
 R/soilDB-package.R                           |  324 -
 R/soilDB_user_dir.R                          |  122 
 R/taxaExtent.R                               |  748 +--
 R/uncode.R                                   |  796 ++--
 R/utils.R                                    | 2693 ++++++-------
 R/waterDayYear.R                             |  102 
 build/partial.rdb                            |binary
 build/vignette.rds                           |binary
 data/SCAN_SNOTEL_metadata.rda                |binary
 data/gopheridge.R                            |   28 
 data/loafercreek.R                           |   28 
 data/mineralKing.R                           |   28 
 inst/CITATION                                |   36 
 inst/WORDLIST                                | 1570 +++----
 inst/doc/dominant-es.R                       |  288 -
 inst/doc/dominant-es.Rmd                     |  578 +-
 inst/doc/dominant-es.html                    | 1326 +++---
 inst/doc/fetchNASIS.R                        |  510 +-
 inst/doc/fetchNASIS.Rmd                      |  544 +-
 inst/doc/fetchNASIS.html                     | 2538 +-----------
 inst/doc/local-ssurgo.R                      |  290 -
 inst/doc/local-ssurgo.Rmd                    |  628 +--
 inst/doc/local-ssurgo.html                   | 1372 +++---
 inst/doc/sda.R                               | 1962 ++++-----
 inst/doc/sda.Rmd                             | 4380 +++++++++++-----------
 inst/doc/sda.html                            | 5316 +++++++++++++--------------
 inst/doc/soilweb-data-functions.R            |  252 -
 inst/doc/soilweb-data-functions.Rmd          | 1118 ++---
 inst/doc/soilweb-data-functions.html         | 1994 +++++-----
 inst/doc/wcs-ssurgo.R                        | 1195 +++---
 inst/doc/wcs-ssurgo.Rmd                      | 1706 ++++----
 inst/doc/wcs-ssurgo.html                     | 2434 ++++++------
 man/ISSR800.wcs.Rd                           |  156 
 man/KSSL_VG_model.Rd                         |  122 
 man/NASISChoiceList.Rd                       |  120 
 man/NASISDomainsAsFactor.Rd                  |   44 
 man/NASISLocalDatabase.Rd                    |   36 
 man/OSDquery.Rd                              |  258 -
 man/ROSETTA.Rd                               |  222 -
 man/SCAN_SNOTEL_metadata.Rd                  |   28 
 man/SDA_query.Rd                             |  162 
 man/SDA_spatialQuery.Rd                      |  472 +-
 man/STRplot.Rd                               |   88 
 man/SoilWeb_spatial_query.Rd                 |  110 
 man/WCS_details.Rd                           |   42 
 man/createSSURGO.Rd                          |  189 
 man/createStaticNASIS.Rd                     |   84 
 man/dbConnectNASIS.Rd                        |   44 
 man/dbQueryNASIS.Rd                          |   46 
 man/downloadSSURGO.Rd                        |  183 
 man/estimateColorMixture.Rd                  |   54 
 man/fetchGDB.Rd                              |  186 
 man/fetchHWSD.Rd                             |  138 
 man/fetchHenry.Rd                            |  198 -
 man/fetchKSSL.Rd                             |  262 -
 man/fetchLDM.Rd                              |  175 
 man/fetchNASIS.Rd                            |  242 -
 man/fetchNASISLabData.Rd                     |   58 
 man/fetchNASISWebReport.Rd                   |  188 
 man/fetchOSD.Rd                              |  254 -
 man/fetchPedonPC.Rd                          |   78 
 man/fetchRaCA.Rd                             |  116 
 man/fetchSCAN.Rd                             |  250 -
 man/fetchSDA.Rd                              |  230 -
 man/fetchSDA_spatial.Rd                      |  182 
 man/fetchSOLUS.Rd                            |  282 -
 man/fetchSRI.Rd                              |   70 
 man/fetchSoilGrids.Rd                        |  370 -
 man/fetchVegdata.Rd                          |  230 -
 man/filter_geochem.Rd                        |   68 
 man/format_SQL_in_statement.Rd               |   46 
 man/getHzErrorsNASIS.Rd                      |   50 
 man/get_EDIT_ecoclass_by_geoUnit.Rd          |   52 
 man/get_NASIS_metadata.Rd                    |   90 
 man/get_NASIS_table_key_by_name.Rd           |   60 
 man/get_NASIS_table_metadata.Rd              |   92 
 man/get_NASIS_table_name_by_purpose.Rd       |   82 
 man/get_NOAA_GHCND.Rd                        |   76 
 man/get_NOAA_stations_nearXY.Rd              |   72 
 man/get_OSD.Rd                               |   94 
 man/get_RMF_from_NASIS_db.Rd                 |   46 
 man/get_SDA_NASIS_key.Rd                     |  118 
 man/get_SDA_coecoclass.Rd                    |  176 
 man/get_SDA_cosurfmorph.Rd                   |  170 
 man/get_SDA_hydric.Rd                        |  114 
 man/get_SDA_interpretation.Rd                | 1428 +++----
 man/get_SDA_metrics.Rd                       |   62 
 man/get_SDA_muaggatt.Rd                      |   68 
 man/get_SDA_pmgroupname.Rd                   |   98 
 man/get_SDA_property.Rd                      |  310 -
 man/get_SDV_legend_elements.Rd               |   56 
 man/get_SRI.Rd                               |  158 
 man/get_SRI_layers.Rd                        |   58 
 man/get_colors_from_NASIS_db.Rd              |   78 
 man/get_colors_from_pedon_db.Rd              |   50 
 man/get_comonth_from_NASIS_db.Rd             |   90 
 man/get_component_data_from_NASIS_db.Rd      |  182 
 man/get_cosoilmoist_from_NASIS.Rd            |  108 
 man/get_ecosite_history_from_NASIS_db.Rd     |   62 
 man/get_extended_data_from_NASIS_db.Rd       |   94 
 man/get_extended_data_from_pedon_db.Rd       |   50 
 man/get_hz_data_from_NASIS_db.Rd             |   64 
 man/get_hz_data_from_pedon_db.Rd             |   58 
 man/get_lablayer_data_from_NASIS_db.Rd       |   64 
 man/get_labpedon_data_from_NASIS_db.Rd       |   64 
 man/get_mapunit_from_NASIS.Rd                |   90 
 man/get_phroots_from_NASIS_db.Rd             |   38 
 man/get_project_from_NASIS.Rd                |   48 
 man/get_site_data_from_NASIS_db.Rd           |  114 
 man/get_site_data_from_pedon_db.Rd           |   50 
 man/get_soilDB_env.Rd                        |   47 
 man/get_soilseries_from_NASIS.Rd             |   92 
 man/get_text_notes_from_NASIS_db.Rd          |  110 
 man/get_veg_data_from_NASIS_db.Rd            |   56 
 man/get_veg_from_AK_Site.Rd                  |   50 
 man/get_veg_from_MT_veg_db.Rd                |   52 
 man/get_veg_from_NPS_PLOTS_db.Rd             |   54 
 man/get_veg_other_from_MT_veg_db.Rd          |   52 
 man/get_veg_species_from_MT_veg_db.Rd        |   52 
 man/loafercreek.Rd                           |  162 
 man/local_NASIS_defined.Rd                   |   64 
 man/make_EDIT_service_URL.Rd                 |  184 
 man/metadata.Rd                              |   52 
 man/mukey.wcs.Rd                             |  165 
 man/parseWebReport.Rd                        |   66 
 man/processSDA_WKT.Rd                        |   76 
 man/seriesExtent.Rd                          |  130 
 man/siblings.Rd                              |  124 
 man/simplifyColorData.Rd                     |  102 
 man/simplifyFragmentData.Rd                  |  138 
 man/soilColor.wcs.Rd                         |  181 
 man/soilDB-package.Rd                        |   42 
 man/soilDB_user_dir.Rd                       |  124 
 man/taxaExtent.Rd                            |  520 +-
 man/uncode.Rd                                |  138 
 man/waterDayYear.Rd                          |   72 
 tests/testthat/test-ISSR800.R                |  208 -
 tests/testthat/test-OSDquery.R               |   74 
 tests/testthat/test-ROSETTA.R                |  392 -
 tests/testthat/test-SDA_query.R              |  618 +--
 tests/testthat/test-SoilDataViewer.R         |   60 
 tests/testthat/test-aqp_data.R               |   38 
 tests/testthat/test-createSSURGO.R           |only
 tests/testthat/test-dbQueryNASIS.R           |   64 
 tests/testthat/test-estimateColorMixture.R   |   94 
 tests/testthat/test-estimateSTR.R            |   86 
 tests/testthat/test-fetchEDIT_tools.R        |   92 
 tests/testthat/test-fetchGDB.R               |only
 tests/testthat/test-fetchHenry.R             |  412 +-
 tests/testthat/test-fetchKSSL.R              |  400 +-
 tests/testthat/test-fetchLDM.R               |  130 
 tests/testthat/test-fetchNASIS.R             |  310 -
 tests/testthat/test-fetchNASISLabData.R      |   94 
 tests/testthat/test-fetchNASISWebReport.R    |  198 -
 tests/testthat/test-fetchOSD.R               |  286 -
 tests/testthat/test-fetchSCAN.R              |  156 
 tests/testthat/test-fetchSDA.R               |  146 
 tests/testthat/test-fetchSDA_spatial.R       |  184 
 tests/testthat/test-fetchSOLUS.R             |  210 -
 tests/testthat/test-fetchSRI.R               |   92 
 tests/testthat/test-fetchSoilGrids.R         |   80 
 tests/testthat/test-get_OSD.R                |  126 
 tests/testthat/test-get_SDA_coecoclass.R     |  120 
 tests/testthat/test-get_SDA_cosurfmorph.R    |   62 
 tests/testthat/test-get_SDA_hydric.R         |   62 
 tests/testthat/test-get_SDA_interpretation.R |  208 -
 tests/testthat/test-get_SDA_muaggatt.R       |   28 
 tests/testthat/test-get_SDA_pmgroupname.R    |   52 
 tests/testthat/test-get_SDA_property.R       |  678 +--
 tests/testthat/test-get_SSURGO_utils.R       |   30 
 tests/testthat/test-mukey-WCS.R              |   94 
 tests/testthat/test-seriesExtent.R           |   52 
 tests/testthat/test-siblings.R               |  124 
 tests/testthat/test-simplifyArtifactData.R   |  388 -
 tests/testthat/test-simplifyColorData.R      |  326 -
 tests/testthat/test-simplifyFragmentData.R   |  980 ++--
 tests/testthat/test-soilDBdata.R             |  190 
 tests/testthat/test-taxaExtent.R             |   74 
 tests/testthat/test-uncode.R                 |  110 
 tests/testthat/test-waterDayYear.R           |  216 -
 vignettes/dominant-es.Rmd                    |  578 +-
 vignettes/fetchNASIS.Rmd                     |  544 +-
 vignettes/local-ssurgo.Rmd                   |  628 +--
 vignettes/sda.Rmd                            | 4380 +++++++++++-----------
 vignettes/soilweb-data-functions.Rmd         | 1118 ++---
 vignettes/wcs-ssurgo.Rmd                     | 1706 ++++----
 284 files changed, 55806 insertions(+), 56016 deletions(-)

More information about soilDB at CRAN
Permanent link

New package sdim with initial version 0.1.0
Package: sdim
Title: An R Package for Supervised Dimension Reduction
Version: 0.1.0
Description: Implements five factor extraction methods for asset pricing and macroeconomic forecasting: principal component analysis (PCA), partial least squares (PLS), scaled PCA (sPCA) of Huang, Jiang, Li, Tong, and Zhou (2022) <doi:10.1287/mnsc.2021.4020>, the reduced-rank approach (RRA) of He, Huang, Li, and Zhou (2023) <doi:10.1287/mnsc.2022.4563>, and Instrumented PCA (IPCA) of Kelly, Pruitt, and Su (2019) <doi:10.1016/j.jfineco.2019.05.001>.
URL: https://gabbocg.github.io/sdim/, https://github.com/gabbocg/sdim
BugReports: https://github.com/gabbocg/sdim/issues
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-GB
LazyData: true
Depends: R (>= 4.1.0)
Imports: stats, graphics, Rcpp
LinkingTo: Rcpp, RcppArmadillo
Suggests: frenchdata, knitr, readxl, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-07-04 14:44:15 UTC; gabbocg
Author: Gabriel Cabrera [aut, cre]
Maintainer: Gabriel Cabrera <gabriel.cabrera.guz@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-11 08:30:02 UTC

More information about sdim at CRAN
Permanent link

New package rolloptim with initial version 1.0.0
Package: rolloptim
Title: Rolling Optimizations
Version: 1.0.0
Description: Analytical computation of rolling optimization for time-series data. The 'rolloptim' package solves constrained quadratic and linear programs in closed form by applying Lagrangian multipliers and the Karush-Kuhn-Tucker conditions (Kuhn and Tucker, 1951, <doi:10.1525/9780520411586-036>) to perform mean-variance portfolio optimization (Markowitz, 1952, <doi:10.1111/j.1540-6261.1952.tb01525.x>) over rolling windows. For each window, the analytical solution computes the optimal weights that minimize variance, maximize expected return, minimize residual sum of squares, or maximize quadratic utility, subject to a total-weight equality constraint and box bounds on each weight. Use cases include mean-variance portfolio optimization, expected-return maximization, and constrained regression. The package supports rolling optimizations with constraints via the total, lower, and upper arguments. The implementation accepts rolling moments computed via the 'roll' package and uses 'RcppArm [...truncated...]
License: GPL (>= 2)
URL: https://github.com/jasonjfoster/rolloptim
BugReports: https://github.com/jasonjfoster/rolloptim/issues
Depends: R (>= 3.5.0)
Imports: Rcpp, RcppParallel
Suggests: covr, CVXR, ROI, ROI.plugin.glpk, ROI.plugin.qpoases, ROI.plugin.quadprog, roll (>= 1.1.7), testthat, zoo
LinkingTo: Rcpp, RcppArmadillo, RcppParallel
Encoding: UTF-8
SystemRequirements: GNU make
NeedsCompilation: yes
Packaged: 2026-07-04 16:03:16 UTC; jason
Author: Jason Foster [aut, cre]
Maintainer: Jason Foster <jason.j.foster@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-11 08:30:08 UTC

More information about rolloptim at CRAN
Permanent link

New package pft with initial version 1.0.1
Package: pft
Title: Pulmonary Function Test Interpretation per ERS/ATS 2022
Version: 1.0.1
Description: Computes predicted values and lower/upper limits of normal for pulmonary function tests according to American Thoracic Society ('ATS') and European Respiratory Society ('ERS') reference standards. Supports spirometry (Global Lung Function Initiative 'GLI' 2012, Quanjer et al. (2012) <doi:10.1183/09031936.00080312>; and the race-neutral 'GLI' 2022 / 'GLI Global' equations, Bowerman et al. (2023) <doi:10.1164/rccm.202205-0963OC>), static lung volumes ('GLI' 2021, Hall et al. (2021) <doi:10.1183/13993003.00289-2020>), and the carbon monoxide transfer factor / diffusion capacity ('GLI' 2017, Stanojevic et al. (2017) <doi:10.1183/13993003.00010-2017>, including the 2020 author correction <doi:10.1183/13993003.50010-2017>). Also assigns interpretive pattern labels (Normal, Non-specific, Obstructed, Restricted, Mixed) from spirometry and lung-volume measurements following the 'ERS'/'ATS' 2022 interpretation algorithm, Stanojevic et al. (2022) <doi:10.1183/1399 [...truncated...]
License: MIT + file LICENSE
URL: https://github.com/overdodactyl/pft
BugReports: https://github.com/overdodactyl/pft/issues
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1)
Imports: rlang, tibble
Suggests: broom, covr, dplyr, ggplot2, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-07-04 18:12:32 UTC; m208076
Author: Pat Johnson [aut, cre] , Scott Helgeson [aut] , Zach Quicksall [ctb], Jairo Pena [ctb]
Maintainer: Pat Johnson <johnson.pat@mayo.edu>
Repository: CRAN
Date/Publication: 2026-07-11 08:30:13 UTC

More information about pft at CRAN
Permanent link

New package mlstats with initial version 0.1.0
Package: mlstats
Title: Multilevel Descriptive Statistics and Data Preparation
Version: 0.1.0
Description: Provides tools for multilevel descriptive statistics and data preparation. Computes within-group and between-group correlations (via variance decomposition or two-level structural equation modeling), intraclass correlation coefficients (ICCs), and descriptive statistics for nested data (e.g., repeated measurements per person), supporting both frequentist (via 'lme4' or 'lavaan') and Bayesian (via 'brms') estimation. Results are formatted according to APA standards and can be exported as tables using 'gt' or 'tinytable'. Also includes functions for decomposing variables into within-group and between-group components for use in Random Effects Within-Between (REWB) models.
License: MIT + file LICENSE
URL: https://felixdidi.github.io/mlstats/, https://github.com/felixdidi/mlstats
BugReports: https://github.com/felixdidi/mlstats/issues
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1.0)
Suggests: brms, gt, knitr, lavaan, lmerTest, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Imports: cli, dplyr, lme4, pillar, rlang, scales, stringr, tibble, tinytable, vctrs
NeedsCompilation: no
Packaged: 2026-07-05 11:33:49 UTC; felix
Author: Felix Dietrich [aut, cre, cph]
Maintainer: Felix Dietrich <mail@felix-dietrich.de>
Repository: CRAN
Date/Publication: 2026-07-11 09:00:02 UTC

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New package gbcrosswalk with initial version 0.0.5
Package: gbcrosswalk
Title: Crosswalk Chinese GB Industry Classifications Across Years
Version: 0.0.5
Description: Tools for cleaning, building, and composing crosswalks between Chinese GB/T 4754 industry classification vintages. The package starts with the historical workflow for 1986, 1994, 2002, 2011, and 2017 and is designed so later PDF-derived vintages can be added as additional adjacent pairwise crosswalks.
License: MIT + file LICENSE
URL: https://github.com/robin621/gbcrosswalk
BugReports: https://github.com/robin621/gbcrosswalk/issues
Encoding: UTF-8
Depends: R (>= 4.1)
Imports: utils
Enhances: readxl
NeedsCompilation: no
Packaged: 2026-07-04 18:28:20 UTC; CodexSandboxOffline
Author: Yajie Wang [aut, cre] )
Maintainer: Yajie Wang <wangyajie621@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-11 08:50:02 UTC

More information about gbcrosswalk at CRAN
Permanent link

New package chessResults with initial version 2026.07.05
Package: chessResults
Title: Scrapper for Chess-Results.com
Version: 2026.07.05
Description: Scrap data from chess-results.com and return a clean 'tibble'. Currently only supports tournament details and starting rank table.
License: GPL (>= 3)
URL: https://codeberg.org/SirfHaru/chessResults
BugReports: https://codeberg.org/SirfHaru/chessResults/issues
Imports: dplyr (>= 1.2.1), janitor (>= 2.2.1), stringr (>= 1.6.0), tibble (>= 3.3.1), tidyr (>= 1.3.2), readr (>= 2.2.0), rvest (>= 1.0.5)
Depends: R (>= 4.6.0)
Suggests: testthat (>= 3.0.0)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-07-05 07:24:09 UTC; insaan
Author: SirfHaru [aut, cre]
Maintainer: SirfHaru <105.hydrated233@passinbox.com>
Repository: CRAN
Date/Publication: 2026-07-11 08:50:06 UTC

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Permanent link

Package betaselectr updated to version 0.2.2 with previous version 0.2.1 dated 2026-06-09

Title: Betas-Select in Structural Equation Models and Linear Models
Description: It computes betas-select, coefficients after standardization in structural equation models and regression models, standardizing only selected variables. Supports models with moderation, with product terms formed after standardization. It also offers confidence intervals that account for standardization, including bootstrap confidence intervals as proposed by Cheung et al. (2022) <doi:10.1037/hea0001188>. An introduction to the package can be found in Sun et al. (2026) <doi:10.1080/00273171.2026.2672692>.
Author: Shu Fai Cheung [aut, cre] , Rong Wei Sun [aut] , Florbela Chang [aut] , Wendie Yang [aut] , Sing-Hang Cheung [aut]
Maintainer: Shu Fai Cheung <shufai.cheung@gmail.com>

Diff between betaselectr versions 0.2.1 dated 2026-06-09 and 0.2.2 dated 2026-07-11

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New package BayesSurveillance with initial version 0.0.2
Package: BayesSurveillance
Title: Bayesian Surveillance Methods for Healthcare Performance Monitoring
Version: 0.0.2
Description: Provides Bayesian surveillance methods for prospective monitoring of healthcare performance, patient safety, and clinical quality indicators. The package implements beta-binomial monitoring for binary outcomes, gamma-Poisson monitoring for count outcomes, posterior predictive alert probabilities, Bayesian early-warning signal detection, risk-adjusted surveillance, simulation tools, decision-support methods, and graphical summaries. These methods support continuous performance monitoring and timely detection of adverse trends in healthcare systems. The methodology is motivated by established risk-adjusted monitoring, sequential surveillance, and healthcare quality-improvement frameworks <doi:10.1093/biostatistics/1.4.441>, <doi:10.1002/sim.1546>, <doi:10.1136/bmjqs.2008.031831>, and <doi:10.1136/bmjqs-2016-005526>.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.2.0)
Imports: stats
Suggests: testthat (>= 3.0.0)
URL: https://github.com/zerish12/BayesSurveillance
BugReports: https://github.com/zerish12/BayesSurveillance/issues
NeedsCompilation: no
Packaged: 2026-07-05 09:04:29 UTC; muhammadzahirkhan
Author: Muhammad Zahir Khan [aut, cre]
Maintainer: Muhammad Zahir Khan <zahirstat007@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-11 09:00:14 UTC

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New package simtte with initial version 1.0.1
Package: simtte
Title: Simulate Time-to-Event Data Using Weibull and Spline Models
Version: 1.0.1
Language: en-US
Description: Simulates time-to-event (survival) datasets for clinical trial design and analysis. Supports Weibull and flexible M-spline baseline hazard models via the 'mrgsolve' ordinary differential equation solver backend. Implements inverse transform sampling from cumulative hazard functions to generate event times. See Bender et al. (2005) <doi:10.1002/sim.2059> for the inverse transform sampling methodology and Royston and Parmar (2002) <doi:10.1002/sim.1203> for flexible parametric survival models.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.0.0)
Imports: dplyr, magrittr, mrgsolve
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/csetraynor/simtte
BugReports: https://github.com/csetraynor/simtte/issues
NeedsCompilation: no
Packaged: 2026-07-04 07:50:04 UTC; carlostraynor
Author: Carlos Traynor [aut, cre]
Maintainer: Carlos Traynor <carlos.traynor.qcp@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-11 07:50:02 UTC

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Package onemap updated to version 3.2.6 with previous version 3.2.4 dated 2026-01-12

Title: Construction of Genetic Maps in Experimental Crosses
Description: Analysis of molecular marker data from model and non-model systems. For the later, it allows statistical analysis by simultaneously estimating linkage and linkage phases (genetic map construction) according to Wu and colleagues (2002) <doi:10.1006/tpbi.2002.1577>. All analysis are based on multi-point approaches using hidden Markov models.
Author: Cristiane Taniguti [aut, cre], Marcelo Mollinari [aut], Rodrigo Amadeu [ctb], Getulio Ferreira [ctb], Gabriel Margarido [aut], Jeekin Lau [ctb], Karl Broman [ctb], Katharine Preedy [ctb, cph] , Bastian Schiffthaler [ctb, cph] , Augusto Garcia [aut, c [...truncated...]
Maintainer: Cristiane Taniguti <ctaniguti@ufl.edu>

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Package ham updated to version 1.3.0 with previous version 1.2.0 dated 2026-03-19

Title: Healthcare Analysis Methods
Description: Conducts analyses for healthcare program evaluations or intervention studies. Calculates regression analyses for standard ordinary least squares (OLS or linear) or logistic models. Performs regression models used for causal modeling such as differences-in-differences (DID) and interrupted time series (ITS) models. Provides limited interpretations of model results and a ranking of variable importance in models. Performs propensity score models, top-coding of model outcome variables, and can return new data with the newly formed variables. Conducts Bayesian analysis summaries and graphs, decision curve analysis, and produces some Shewhart control charts. Also performs Cronbach's alpha for various scale items (e.g., survey questions). See Github URL for examples in the README file. For more details on the statistical methods, see Allen & Yen (1979, ISBN:0-8185-0283-5), Angrist & Pischke (2009, ISBN:9780691120355), Cohen (1988, ISBN:0-8058-0283-5), Gebski (2012) <doi:10.1017/S0 [...truncated...]
Author: Stephen Zuniga [aut, cre, cph]
Maintainer: Stephen Zuniga <rms.shiny@gmail.com>

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Package treeSS updated to version 0.2.5 with previous version 0.2.4 dated 2026-07-02

Title: Tree-Spatial Scan Statistic for Cluster Detection
Description: Implements the tree-spatial scan statistic for detecting clusters that combine both spatial and hierarchical structures, as proposed by Cancado et al. (2025) <doi:10.1007/s10651-025-00670-w>. The method extends Kulldorff (1997) <doi:10.1080/03610929708831995> circular spatial scan statistic and the tree-based scan statistic of Kulldorff et al. (2003) <doi:10.1111/1541-0420.00039> by searching for anomalies in both geographic regions and branches of hierarchical trees simultaneously. The package also provides standalone implementations of Kulldorff's circular spatial scan statistic and the tree-based scan statistic. Statistical significance is assessed via Monte Carlo simulation under a Poisson or binomial model, with optional 'OpenMP' parallelization.
Author: Allan Quadros [aut, cre] , Andre L. F. Cancado [aut] , Geiziane S. Oliveira [aut], Luiz H. Duczmal [aut]
Maintainer: Allan Quadros <allanvcq@gmail.com>

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Package mRpostman updated to version 1.2.2 with previous version 1.1.4 dated 2024-09-17

Title: An IMAP Client for R
Description: A session-based IMAP client that implements the full functionality of the IMAP4rev1 protocol (RFC 3501), allowing virtually all e-mail operations to be performed from within R, paving the way for e-mail data analysis.
Author: Allan Quadros [aut, cre] , Paul Smith [ctb], Kurt Hornik [ctb]
Maintainer: Allan Quadros <allanvcq@gmail.com>

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Package litedown updated to version 0.10 with previous version 0.9 dated 2025-12-18

Title: A Lightweight Version of R Markdown
Description: Render R Markdown to Markdown (without using 'knitr'), and Markdown to lightweight HTML or 'LaTeX' documents with the 'commonmark' package (instead of 'Pandoc'). Some missing Markdown features in 'commonmark' are also supported, such as raw HTML or 'LaTeX' blocks, 'LaTeX' math, superscripts, subscripts, footnotes, element attributes, and appendices, but not all 'Pandoc' Markdown features are (or will be) supported. With additional JavaScript and CSS, you can also create HTML slides and articles. This package can be viewed as a trimmed-down version of R Markdown and 'knitr'. It does not aim at rich Markdown features or a large variety of output formats (the primary formats are HTML and 'LaTeX'). Book and website projects of multiple input documents are also supported.
Author: Yihui Xie [aut, cre] , Tim Taylor [ctb]
Maintainer: Yihui Xie <xie@yihui.name>

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Fri, 10 Jul 2026

Package RQuantLib updated to version 0.4.28 with previous version 0.4.27 dated 2026-06-07

Title: R Interface to the 'QuantLib' Library
Description: The 'RQuantLib' package makes parts of 'QuantLib' accessible from R The 'QuantLib' project aims to provide a comprehensive software framework for quantitative finance. The goal is to provide a standard open source library for quantitative analysis, modeling, trading, and risk management of financial assets.
Author: Dirk Eddelbuettel [aut, cre] , Khanh Nguyen [aut] , Terry Leitch [aut]
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between RQuantLib versions 0.4.27 dated 2026-06-07 and 0.4.28 dated 2026-07-10

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Package quadmesh updated to version 0.6.0 with previous version 0.5.5 dated 2022-08-31

Title: Quadrangle Mesh
Description: Create surface forms from matrix or 'raster' data for flexible plotting and conversion to other mesh types. The functions 'quadmesh' or 'triangmesh' produce a continuous surface as a 'mesh3d' object as used by the 'rgl' package. This is used for plotting raster data in 3D (optionally with texture), and allows the application of a map projection without data loss and many processing applications that are restricted by inflexible regular grid rasters. There are discrete forms of these continuous surfaces available with 'dquadmesh' and 'dtriangmesh' functions.
Author: Michael D. Sumner [aut, cre]
Maintainer: Michael D. Sumner <mdsumner@gmail.com>

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Package psychotools updated to version 0.7-7 with previous version 0.7-6 dated 2026-02-11

Title: Psychometric Modeling Infrastructure
Description: Infrastructure for psychometric modeling such as data classes (for item response data and paired comparisons), basic model fitting functions (for Bradley-Terry, Rasch, parametric logistic IRT, generalized partial credit, rating scale, multinomial processing tree models), extractor functions for different types of parameters (item, person, threshold, discrimination, guessing, upper asymptotes), unified inference and visualizations, and various datasets for illustration. Intended as a common lightweight and efficient toolbox for psychometric modeling and a common building block for fitting psychometric mixture models in package "psychomix" and trees based on psychometric models in package "psychotree".
Author: Achim Zeileis [aut, cre] , Carolin Strobl [aut] , Florian Wickelmaier [aut], Basil Komboz [aut], Julia Kopf [aut], Lennart Schneider [aut] , Rudolf Debelak [aut]
Maintainer: Achim Zeileis <Achim.Zeileis@R-project.org>

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Package psychomix updated to version 1.1-10 with previous version 1.1-9 dated 2024-09-10

Title: Psychometric Mixture Models
Description: Psychometric mixture models based on 'flexmix' infrastructure. At the moment Rasch mixture models with different parameterizations of the score distribution (saturated vs. mean/variance specification), Bradley-Terry mixture models, and MPT mixture models are implemented. These mixture models can be estimated with or without concomitant variables. See Frick et al. (2012) <doi:10.18637/jss.v048.i07> and Frick et al. (2015) <doi:10.1177/0013164414536183> for details on the Rasch mixture models.
Author: Hannah Frick [aut] , Friedrich Leisch [aut] , Carolin Strobl [aut] , Florian Wickelmaier [aut], Achim Zeileis [aut, cre]
Maintainer: Achim Zeileis <Achim.Zeileis@R-project.org>

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Package viewpoly updated to version 1.0.2 with previous version 0.4.1 dated 2024-03-28

Title: A Shiny App to Visualize Genetic Maps and QTL Analysis in Polyploid Species
Description: Provides a graphical user interface to integrate, visualize and explore results from linkage and quantitative trait loci analysis, together with genomic information for autopolyploid species. The app is meant for interactive use and allows users to optionally upload different sources of information, including gene annotation and alignment files, enabling the exploitation and search for candidate genes in a genome browser. In its current version, 'VIEWpoly' supports inputs from 'MAPpoly', 'polymapR', 'diaQTL', 'QTLpoly', 'polyqtlR', 'GWASpoly', and 'HIDECAN' packages.
Author: Cristiane Taniguti [aut, cre], Gabriel de Siqueira Gesteira [aut], Jeekin Lau [aut], Olivia Angelin-Bonnet [aut], Susan Thomson [ctb], Guilherme da Silva Pereira [ctb], David Byrne [ctb], Zhao-Bang Zeng [ctb], Oscar Riera-Lizarazu [ctb], Marcelo Moll [...truncated...]
Maintainer: Cristiane Taniguti <ctaniguti@ufl.edu>

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Package seekr updated to version 0.2.0 with previous version 0.1.4 dated 2026-02-08

Title: Search, Inspect, and Replace Text Across Files
Description: An inspectable and composable workflow for search-and-replace in text files. Files can be listed, filtered, and searched separately, with inspectable exclusions showing what was excluded and why. Matches are represented as structured vectors that can be printed with context, summarized, and filtered. Replacements can be defined at search time or set and updated after the search. Only matches present in the vector are modified when files are written. Backup and restore helpers are provided for file workflows. Text that has already been read can also be searched and updated directly, giving users control over input, output, and encoding when needed.
Author: Sacha Martingay [aut, cre, cph]
Maintainer: Sacha Martingay <martingay.sacha@hotmail.com>

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Package psm3mkv updated to version 0.3.3 with previous version 0.3.2 dated 2024-06-07

Title: Evaluate Partitioned Survival and State Transition Models
Description: Fits and evaluates three-state partitioned survival analyses (PartSAs) and Markov models (clock forward or clock reset) to progression and overall survival data typically collected in oncology clinical trials. These model structures are typically considered in cost-effectiveness modeling in advanced/metastatic cancer indications. Muston (2024). "Informing structural assumptions for three state oncology cost-effectiveness models through model efficiency and fit". Applied Health Economics and Health Policy.
Author: Dominic Muston [aut, cre] , Merck & Co., Inc., Rahway, NJ, USA and its affiliates [cph, fnd]
Maintainer: Dominic Muston <dom.muston@gmail.com>

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Package Nestimate updated to version 0.8.0 with previous version 0.6.0 dated 2026-05-31

Title: Network Estimation, Bootstrap, and Higher-Order Analysis
Description: Estimate, compare, and analyze dynamic and psychological networks using a unified interface. Provides transition network analysis estimation (transition, frequency, co-occurrence, attention-weighted) Saqr et al. (2025) <doi:10.1145/3706468.3706513>, psychological network methods (correlation, partial correlation, 'graphical lasso', 'Ising') Saqr, Beck, and Lopez-Pernas (2024) <doi:10.1007/978-3-031-54464-4_19>, and higher-order network methods including higher-order networks, higher-order network embedding, hyper-path anomaly, and multi-order generative model. Supports bootstrap inference, permutation testing, split-half reliability, centrality stability analysis, mixed Markov models, multi-cluster multi-layer networks and clustering.
Author: Mohammed Saqr [aut, cre, cph], Sonsoles Lopez-Pernas [aut], Kamila Misiejuk [aut]
Maintainer: Mohammed Saqr <saqr@saqr.me>

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Package ivreg updated to version 0.6-8 with previous version 0.6-7 dated 2026-03-02

Title: Instrumental-Variables Regression by '2SLS', '2SM', or '2SMM', with Diagnostics
Description: Instrumental variable estimation for linear models by two-stage least-squares (2SLS) regression or by robust-regression via M-estimation (2SM) or MM-estimation (2SMM). The main ivreg() model-fitting function is designed to provide a workflow as similar as possible to standard lm() regression. A wide range of methods is provided for fitted ivreg model objects, including extensive functionality for computing and graphing regression diagnostics in addition to other standard model tools.
Author: John Fox [aut] , Christian Kleiber [aut] , Achim Zeileis [aut, cre] , Nikolas Kuschnig [ctb] , R Core Team [ctb]
Maintainer: Achim Zeileis <Achim.Zeileis@R-project.org>

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More information about ivreg at CRAN
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