Sun, 04 Oct 2026

Package vital updated to version 2.1.0 with previous version 2.0.3 dated 2026-02-12

Title: Tidy Analysis Tools for Mortality, Fertility, Migration and Population Data
Description: Analysing vital statistics based on tools consistent with the tidyverse. Tools are provided for data visualization, life table calculations, computing net migration numbers, Lee-Carter modelling; functional data modelling and forecasting.
Author: Rob Hyndman [aut, cre, cph] , Sixian Tang [aut] , Miles McBain [ctb] , Mitchell O'Hara-Wild [ctb]
Maintainer: Rob Hyndman <Rob.Hyndman@monash.edu>

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Package safestats updated to version 0.8.9 with previous version 0.8.8 dated 2026-09-05

Title: Safe Anytime-Valid Inference
Description: Functions to design and apply tests that are anytime valid. The functions can be used to design hypothesis tests in the prospective/randomised control trial setting or in the observational/retrospective setting. The resulting tests remain valid under both optional stopping and optional continuation. The current version includes safe t-tests and safe tests of two proportions. For details on the theory of safe tests, see Ly, A, Boehm, Grunwald, Ramdas and van Ravenzwaaij (2024). "Safe Anytime-Valid Inference: Practical maximally flexible sampling designs for experiments based on e-values" (<doi:10.31234/osf.io/h5vae>) and Grunwald, de Heide and Koolen (2024) "Safe Testing" (<doi:10.1093/jrsssb/qkae011>), for details on safe logrank tests see ter Schure, Perez-Ortiz, Ly and Grunwald (2024) "The Anytime-Valid Logrank Test: Error Control under Continuous Monitoring with Unlimited Horizon" (<doi:10.51387/24-NEJSDS65>), and Turner, Ly and Grunwald (2024) "Generic E-variables [...truncated...]
Author: Alexander Ly [cre, aut], Rosanne Turner [aut], Yongqi Wang [aut], Muriel Felipe Perez-Ortiz [ctb], Udo Boehm [ctb], Judith ter Schure [ctb], Peter Grunwald [ctb]
Maintainer: Alexander Ly <alexander.ly.nl@gmail.com>

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Package lme4breeding updated to version 1.1.5 with previous version 1.1.4 dated 2026-09-11

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 tongfen updated to version 0.3.9 with previous version 0.3.8 dated 2026-08-28

Title: Make Data Based on Different Geographies Comparable
Description: Several functions to allow comparisons of data across different geographies, in particular for Canadian census data from different censuses.
Author: Jens von Bergmann [aut, cre]
Maintainer: Jens von Bergmann <jens@mountainmath.ca>

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Package recommenderlab updated to version 1.1.0 with previous version 1.0.7 dated 2025-05-31

Title: Lab for Developing and Testing Recommender Algorithms
Description: Provides a research infrastructure to develop and evaluate collaborative filtering recommender algorithms. This includes a sparse representation for user-item matrices, many popular algorithms, top-N recommendations, and cross-validation. Hahsler (2022) <doi:10.48550/arXiv.2205.12371>.
Author: Michael Hahsler [aut, cre, cph] , Bregt Vereet [ctb]
Maintainer: Michael Hahsler <mhahsler@lyle.smu.edu>

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Package pdR updated to version 1.9.5 with previous version 1.9.4 dated 2025-08-19

Title: Threshold Model and Unit Root Tests in Cross-Section and Time Series Data
Description: Threshold model, panel version of Hylleberg et al. (1990) <DOI:10.1016/0304-4076(90)90080-D> seasonal unit root tests, and panel unit root test of Chang (2002) <DOI:10.1016/S0304-4076(02)00095-7>.
Author: Ho Tsung-wu [aut, cre]
Maintainer: Ho Tsung-wu <tsungwu@ntnu.edu.tw>

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Package MGBT updated to version 1.1.8 with previous version 1.1.6 dated 2026-05-27

Title: Multiple Grubbs-Beck Low-Outlier Test
Description: Compute the multiple Grubbs-Beck low-outlier test on positively distributed data and utilities for noninterpretive U.S. Geological Survey annual peak-streamflow data processing discussed in Cohn et al. (2013) and England et al. (2017) <doi:10.3133/tm4B5>. Other utilities for working with peak streamflow are provided.
Author: William H. Asquith [aut, cre] , John F. England [aut, ctb] , George R. Herrmann [ctb]
Maintainer: William H. Asquith <wasquith@usgs.gov>

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Package ecan updated to version 0.3.0 with previous version 0.2.2 dated 2026-08-22

Title: Ecological Analysis and Visualization
Description: Support ecological analyses such as ordination and clustering. Contains consistent and easy wrapper functions of 'stat', 'vegan', and 'labdsv' packages, and visualisation functions of ordination and clustering.
Author: Toshikazu Matsumura [aut, cre]
Maintainer: Toshikazu Matsumura <matutosi@gmail.com>

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Package dunn.test updated to version 1.4.2 with previous version 1.4.1 dated 2026-06-05

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

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Package copBasic updated to version 2.2.17 with previous version 2.2.16 dated 2026-08-31

Title: General Bivariate Copula Theory and Many Utility Functions
Description: Extensive functions for bivariate copula (bicopula) computations and related operations for bicopula theory. The lower, upper, product, and select other bicopula are implemented along with operations including the diagonal, survival copula, dual of a copula, co-copula, and numerical bicopula density. Level sets, horizontal and vertical sections are supported. Numerical derivatives and inverses of a bicopula are provided through which simulation is implemented. Bicopula composition, convex combination, asymmetry extension, and products also are provided. Support extends to the Kendall Function as well as the Lmoments thereof. Kendall Tau, Spearman Rho and Footrule, Gini Gamma, Blomqvist Beta, Hoeffding Phi, Schweizer- Wolff Sigma, tail dependency, tail order, skewness, and bivariate Lmoments are implemented, and positive/negative quadrant dependency, left (right) increasing (decreasing) are available. Other features include Kullback-Leibler Divergence, Vuong Procedure, spectral measure, [...truncated...]
Author: William Asquith [aut, cre]
Maintainer: William Asquith <william.asquith@ttu.edu>

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Package agrobox updated to version 0.4.0 with previous version 0.3.0 dated 2026-04-13

Title: Data Visualization and Statistical Tools for Agroindustrial Experiments
Description: Set of tools for statistical analysis, visualization, and reporting of agroindustrial and agricultural experiments. The package provides functions to perform one-way and two-way ANOVA with post-hoc tests (Tukey HSD and Duncan MRT), Welch ANOVA for heteroscedastic data, and the Games-Howell post-hoc test as a robust alternative when variance homogeneity fails. When residual normality fails, the Kruskal-Wallis test (with 'agricolae' or Dunn post-hoc letters) or, for blocked designs, the Friedman test is used, so that letters are always obtained through a defensible route. Normality of residuals is assessed with the Shapiro-Wilk test and homoscedasticity with the Fligner-Killeen test; the appropriate statistical path is selected automatically based on these diagnostics. Coefficients of variation and statistical power (via one-way ANOVA power analysis) are reported alongside the post-hoc letter display, and each figure includes a note describing the statistical route used, its rationale, a [...truncated...]
Author: Joaquin Alejandro Salinas Angeles [aut, cre]
Maintainer: Joaquin Alejandro Salinas Angeles <joaquinsa03@gmail.com>

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Package LoopAnalyst updated to version 1.2-8 with previous version 1.2-7 dated 2024-04-08

Title: A Collection of Tools to Conduct Levins' Loop Analysis
Description: Performs Levins' loop analysis of qualitatively-specified complex causal systems. Loop analysis makes qualitative predictions of variable change in a system of causally interdependent variables, where "qualitative" means direct causal relationships and indirect causal effects are coded as sign only (i.e. increases, decreases, no change, and ambiguous). This implementation includes output support for graphs in .dot file format for use with visualization software such as 'graphviz' (<https://graphviz.org>). 'LoopAnalyst' provides tools for the construction and output of community matrices, computation and output of community effect matrices, tables of correlations, adjoint, absolute feedback, weighted feedback and weighted prediction matrices, change in life expectancy matrices, and feedback, path and loop enumeration tools.
Author: Alexis Dinno [aut, cre, cph]
Maintainer: Alexis Dinno <alexis.dinno@pdx.edu>

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Package fmsb updated to version 0.7.8 with previous version 0.7.6 dated 2024-01-19

Title: Functions for Medical Statistics Book with some Demographic Data
Description: Several utility functions for the book entitled "Practices of Medical and Health Data Analysis using R" (Pearson Education Japan, 2007) with Japanese demographic data and some demographic analysis related functions.
Author: Minato Nakazawa [aut, cre]
Maintainer: Minato Nakazawa <minatonakazawa@gmail.com>

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Package yaleBraille updated to version 0.2.3 with previous version 0.2.2 dated 2026-10-02

Title: Generate Braille-Enabled Graphics
Description: Provides tools for rendering and visualizing Braille patterns in R, using the 'liblouis' translation library. For more information see <https://github.com/wininger/yaleBraille>.
Author: Mike Wininger [aut, cre] , liblouis contributors [ctb, cph] )
Maintainer: Mike Wininger <michael.wininger@yale.edu>

Diff between yaleBraille versions 0.2.2 dated 2026-10-02 and 0.2.3 dated 2026-10-04

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Package ThSQCA updated to version 2.0.9 with previous version 2.0.8 dated 2026-09-26

Title: Threshold-Sweep QCA
Description: Provides threshold sweep methods for Qualitative Comparative Analysis (QCA). Implements Condition Threshold Sweep (CTS, for one or several conditions), Outcome Threshold Sweep (OTS), and Dual Threshold Sweep (DTS) for systematic exploration of threshold calibration effects on crisp-set QCA results. These methods extend traditional robustness approaches by treating threshold variation as an explicit analytical dimension and recording the sufficiency solution obtained at each threshold setting. Also provides Fiss (2011) <doi:10.5465/amj.2011.60263120> core/peripheral condition classification via compute_fiss_core() and generate_fiss_chart(), enabling four-symbol configuration charts that distinguish core conditions (conditions of the parsimonious term contained in each configuration) from peripheral conditions (intermediate only). Built on top of the 'QCA' package by Dusa (2019) <doi:10.1007/978-3-319-75668-4>, with function arguments following 'QCA' conventions. Based on set [...truncated...]
Author: Yuki Toyoda [aut, cre], Japan Society for the Promotion of Science [fnd]
Maintainer: Yuki Toyoda <yuki.toyoda.ds@hosei.ac.jp>

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Package simplePHENOTYPES updated to version 1.3.1 with previous version 1.3.0 dated 2021-01-20

Title: Simulation of Pleiotropic, Linked and Epistatic Phenotypes
Description: The number of studies involving correlated traits and the availability of tools to handle this type of data has increased considerably in the last decade. With such a demand, we need tools for testing hypotheses related to single and multi-trait (correlated) phenotypes based on many genetic settings. Thus, we implemented various options for simulation of pleiotropy and Linkage Disequilibrium under additive, dominance and epistatic models. The simulation currently takes a marker data set as an input and then uses it for simulating multiple traits as described in Fernandes and Lipka (2020) <doi:10.1186/s12859-020-03804-y>.
Author: Samuel Fernandes [aut, cre] , Alexander Lipka [aut]
Maintainer: Samuel Fernandes <samuelbf@uark.edu>

Diff between simplePHENOTYPES versions 1.3.0 dated 2021-01-20 and 1.3.1 dated 2026-10-04

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Package SII updated to version 1.3.0 with previous version 1.2.4 dated 2026-09-12

Title: Calculate ANSI/ASA S3.5-1997 (R2024) Speech Intelligibility Index
Description: Calculates the American National Standards Institute (ANSI) S3.5-1997 Speech Intelligibility Index (SII) (ANSI, 1997), a standard method for computing the intelligibility of speech from acoustical measurements of speech, noise, and hearing thresholds. This package includes data frames corresponding to Tables 1 - 4 in the ANSI standard as well as functions utilizing these tables and user-provided hearing threshold and noise level measurements to compute the SII score. The methods implemented here extend the standard computations to allow calculation of SII when the measured frequencies do not match those required by the standard by applying interpolation. The package also includes a native C++ implementation of the 'AUDMOD' specific loudness model for impaired hearing (Bramslow, 2004), ported from the 'bramslow2004' implementation in the Auditory Modeling Toolbox (AMT), to calculate loudness in sones. It provides methods to predict aided SII under hearing aid prescriptive rationales, in [...truncated...]
Author: Gregory R. Warnes [aut, cph], Mark Shaver [cre, aut]
Maintainer: Mark Shaver <mark.shaver@posteo.net>

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Package scip updated to version 1.10.1-1 with previous version 1.10.0-4 dated 2026-08-30

Title: Interface to the SCIP Optimization Suite
Description: Provides an R interface to SCIP (Solving Constraint Integer Programs), a framework for mixed-integer programming (MIP), mixed-integer nonlinear programming (MINLP), and constraint integer programming (2025, <doi:10.48550/arXiv.2511.18580>). Supports linear, quadratic, SOS, indicator, and knapsack constraints with continuous, binary, and integer variables. Includes a one-shot solver interface and a model-building API for incremental problem construction.
Author: Balasubramanian Narasimhan [aut, cre] , SCIP Optimization Suite Authors [cph]
Maintainer: Balasubramanian Narasimhan <naras@stanford.edu>

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Package rdlocrand updated to version 3.0 with previous version 2.0 dated 2026-05-14

Title: Local Randomization Methods for RD Designs
Description: Provides tools to perform randomization inference for RD designs under local randomization: rdrandinf() to perform hypothesis testing using randomization inference, rdwinselect() to select a window around the cutoff in which randomization is likely to hold, rdsensitivity() to assess the sensitivity of the results to different window lengths and null hypotheses and rdrbounds() to construct Rosenbaum bounds for sensitivity to unobserved confounders. See Cattaneo, Titiunik and Vazquez-Bare (2016) <https://rdpackages.github.io/references/Cattaneo-Titiunik-VazquezBare_2016_Stata.pdf> for further methodological details, and references.
Author: Matias D. Cattaneo [aut, cre], Rocio Titiunik [aut], Gonzalo Vazquez-Bare [aut]
Maintainer: Matias D. Cattaneo <matias.d.cattaneo@gmail.com>

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Package modisfast updated to version 2.0.1 with previous version 2.0.0 dated 2026-09-30

Title: Fast and Efficient Access to MODIS Earth Observation Data
Description: Programmatic interface to several NASA Earth Observation 'OPeNDAP' servers (Open-source Project for a Network Data Access Protocol) (<https://www.opendap.org/>). Allows for easy downloads of MODIS subsets, as well as other Earth Observation datacubes, in a time-saving and efficient way : by sampling it at the very downloading phase (spatially, temporally and dimensionally).
Author: Paul Taconet [aut, cre, cph] , Nicolas Moiroux [fnd] , French National Research Institute for Sustainable Development, IRD [fnd]
Maintainer: Paul Taconet <paul.taconet@gmail.com>

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Package lboxcox updated to version 2.0.1 with previous version 1.2 dated 2023-12-15

Title: Implementation of Logistic Box-Cox Regression
Description: Implements a logistic Box-Cox model that adds a shape parameter to a routine logistic regression model to flexibly estimate the shape and strength of the relationship between a binary outcome and a continuous predictor, adjusting for covariates and survey weights. This model is fully described in Xing, L. et al. (2021) <doi:10.1002/cjs.11587>. This version extends the original 'lboxcox' package (1.1) with numerically stabilized likelihood/gradient calculations, vectorized data preprocessing, and a bootstrap-ensemble estimator.
Author: Li Xing [cre, aut], Shiyu Xu [aut], Jing Wang [aut], Kohlton Booth [aut], Xuekui Zhang [aut], Igor Burstyn [aut], Paul Gustafson [aut]
Maintainer: Li Xing <jnjfayaa@gmail.com>

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More information about lboxcox at CRAN
Permanent link

Package gridmicrotex updated to version 0.2.0 with previous version 0.1.1 dated 2026-08-24

Title: Native 'LaTeX' Math Rendering for Grid Graphics
Description: Renders 'LaTeX' math equations as native R grid graphics objects (grobs) using the 'MicroTeX' 'C++' library as the layout engine. Produces resolution-independent vector output that works on any R graphics device, with no external 'LaTeX' installation required. Markdown labels and block documents that mix prose formatting with math are also rendered, for use with both 'grid' and 'ggplot2'.
Author: Alim Dayim [aut, cre] , Nano Michael [cph] , Bundled math font authors [cph]
Maintainer: Alim Dayim <ad938@cam.ac.uk>

Diff between gridmicrotex versions 0.1.1 dated 2026-08-24 and 0.2.0 dated 2026-10-04

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Package gmwmx2 updated to version 0.0.6 with previous version 0.0.5 dated 2026-06-10

Title: Estimate Functional and Stochastic Parameters of Linear Models with Correlated Residuals and Missing Data
Description: Implements the Wavelet Moment Regression (WAMORE) inference framework presented in Voirol, L., Xu, H., Zhang, Y., Insolia, L., Molinari, R. and Guerrier, S. (2026) <doi:10.48550/arXiv.2607.16264>. Provides computationally efficient estimation of functional and stochastic parameters of linear models with correlated residuals, including settings with missing data. Includes functions to download and plot Global Navigation Satellite System (GNSS) position time series from the Nevada Geodetic Laboratory and estimate tectonic velocities and crustal uplift using composite stochastic models.
Author: Lionel Voirol [aut, cre] , Haotian Xu [aut] , Yuming Zhang [aut] , Luca Insolia [aut] , Roberto Molinari [aut] , Stephane Guerrier [aut]
Maintainer: Lionel Voirol <lionelvoirol@hotmail.com>

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Package ctoclient updated to version 0.2.3 with previous version 0.2.0 dated 2026-09-20

Title: A Modern and Flexible Data Pipeline for 'SurveyCTO'
Description: A modern and flexible R client for the 'SurveyCTO', a mobile and offline data collection platform, providing a modern and consistent interface for programmatic access to server resources. Built on top of the 'httr2' package, it enables secure and efficient data retrieval and returns analysis-ready data through optional tidying. It includes functions to create, upload, and download server datasets, in addition to fetching form data, files, and submission attachments. Robust authentication and request handling make the package suitable for automated survey monitoring and downstream analysis.
Author: Gutama Girja Urago [aut, cre, cph]
Maintainer: Gutama Girja Urago <girjagutama@gmail.com>

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Package couplr updated to version 1.8.1 with previous version 1.8.0 dated 2026-09-30

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

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Package conover.test updated to version 1.2.1 with previous version 1.2.0 dated 2026-09-16

Title: Conover-Iman Test of Multiple Comparisons Using Rank Sums
Description: Computes the Conover-Iman test (1979) for stochastic superiority and reports the results among multiple pairwise comparisons after a Kruskal-Wallis omnibus test for stochastic superiority among k groups (Kruskal and Wallis, 1952). conover.test makes k(k-1)/2 multiple pairwise comparisons based on Conover-Iman t-test-statistic of the rank differences. The null hypothesis for each pairwise comparison is that the probability of observing a randomly selected value from the first group that is larger than a randomly selected value from the second group equals one half; this null hypothesis corresponds to that of the Wilcoxon-Mann-Whitney rank-sum test. conover.test accounts for tied ranks. The Conover-Iman test is strictly valid if and only if the corresponding Kruskal-Wallis null hypothesis is rejected.
Author: Alexis Dinno [aut, cre, cph]
Maintainer: Alexis Dinno <alexis.dinno@pdx.edu>

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Package getspanel updated to version 0.2.2 with previous version 0.2.1 dated 2025-05-13

Title: General-to-Specific Modelling of Panel Data
Description: Uses several types of indicator saturation and automated General-to-Specific (GETS) modelling from the 'gets' package and applies it to panel data. This allows the detection of structural breaks in panel data, operationalising a reverse causal approach of causal inference, see Pretis and Schwarz (2022) <doi:10.2139/ssrn.4022745>.
Author: Felix Pretis [aut], Moritz Schwarz [aut, cre]
Maintainer: Moritz Schwarz <moritz.schwarz@scmo.eu>

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Package scoper updated to version 1.6.0 with previous version 1.5.0 dated 2026-05-05

Title: Spectral Clustering-Based Method for Identifying B Cell Clones
Description: Provides a computational framework for identification of B cell clones from Adaptive Immune Receptor Repertoire sequencing (AIRR-Seq) data. Three main functions are included (identicalClones, hierarchicalClones, and spectralClones) that perform clustering among sequences of BCRs/IGs (B cell receptors/immunoglobulins) which share the same V gene, J gene and junction length. Nouri N and Kleinstein SH (2018) <doi: 10.1093/bioinformatics/bty235>. Nouri N and Kleinstein SH (2019) <doi: 10.1101/788620>. Gupta NT, et al. (2017) <doi: 10.4049/jimmunol.1601850>.
Author: Nima Nouri [aut], Edel Aron [ctb], Robert Bjornson [ctb], Gisela Gabernet [ctb], Cole Jensen [ctb], Huimin Lyu [ctb], Susanna Marquez [ctb, cre], Jason Vander Heiden [aut], Steven Kleinstein [aut, cph]
Maintainer: Susanna Marquez <susanna.marquez@yale.edu>

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Package listenv updated to version 1.1.0 with previous version 1.0.0 dated 2026-06-22

Title: Environments Behaving (Almost) as Lists
Description: List environments are environments that have list-like properties. For instance, the elements of a list environment are ordered and can be accessed and iterated over using index subsetting, e.g. 'x <- listenv(a = 1, b = 2); for (i in seq_along(x)) x[[i]] <- x[[i]] ^ 2; y <- as.list(x)'.
Author: Henrik Bengtsson [aut, cre, cph]
Maintainer: Henrik Bengtsson <henrikb@braju.com>

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Package BET updated to version 0.6.0 with previous version 0.5.4 dated 2024-09-08

Title: Binary Expansion Testing
Description: Nonparametric detection of nonuniformity and dependence with Binary Expansion Testing (BET). See Kai Zhang (2019) BET on Independence, Journal of the American Statistical Association, 114:528, 1620-1637, <DOI:10.1080/01621459.2018.1537921>, Kai Zhang, Wan Zhang, Zhigen Zhao, Wen Zhou. (2023). BEAUTY Powered BEAST, <doi:10.48550/arXiv.2103.00674> and Wan Zhang, Zhigen Zhao, Michael Baiocchi, Yao Li, Kai Zhang. (2023) SorBET: A Fast and Powerful Algorithm to Test Dependence of Variables, Technical report.
Author: Wan Zhang [aut, cre], Zhigen Zhao [aut], Michael Baiocchi [aut], Kai Zhang [aut]
Maintainer: Wan Zhang <wanz63@live.unc.edu>

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Package scaledescr updated to version 0.2.8 with previous version 0.2.7 dated 2026-06-10

Title: Descriptive, Reliability, and Inferential Tables for Psychometric Scales and Demographic Data
Description: Provides functions to format and summarise already computed outputs from commonly used statistical and psychometric functions into compact, single-row tables and simple graphs, with utilities to export results to CSV, Word, and Excel formats. The package does not implement new statistical methods or estimation procedures; instead, it organises and presents results obtained from existing packages such as 'psych', 'stats', 'gtsummary', and 'lavaan' to streamline reporting workflows in clinical and psychological research.
Author: Darshankumar Dharaiya [aut, cre]
Maintainer: Darshankumar Dharaiya <dharaiya.darshan@gmail.com>

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Package mpindex updated to version 0.3.1 with previous version 0.3.0 dated 2026-06-15

Title: Multidimensional Poverty Index (MPI) via the Alkire-Foster Method
Description: Estimate Multidimensional Poverty Index (MPI) measures from household survey microdata using the Alkire-Foster dual-cutoff counting method (Alkire and Foster, 2011). Load indicator specifications from CSV, Excel, JSON, or plain-text files; compute the headcount ratio (H), intensity (A), and MPI = H x A across any subgroup; and export results to formatted Excel reports. Supports complex survey designs — stratification, clustering, and probability weights — and optionally appends design-based standard errors and confidence intervals.
Author: Bhas Abdulsamad [aut, cre, cph]
Maintainer: Bhas Abdulsamad <aeabdulsamad@gmail.com>

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Package depCensoring updated to version 0.1.11 with previous version 0.1.10 dated 2026-04-13

Title: Statistical Methods for Survival Data with Dependent Censoring
Description: Several statistical methods for analyzing survival data under various forms of dependent censoring are implemented in the package. In addition to accounting for dependent censoring, it offers tools to adjust for unmeasured confounding factors. The implemented approaches allow users to estimate the dependency between survival time and dependent censoring time, based solely on observed survival data. For more details on the methods, refer to Deresa and Van Keilegom (2021) <doi:10.1093/biomet/asaa095>, Czado and Van Keilegom (2023) <doi:10.1093/biomet/asac067>, Crommen et al. (2024) <doi:10.1007/s11749-023-00903-9>, Deresa and Van Keilegom (2024) <doi:10.1080/01621459.2022.2161387>, Willems et al. (2025) <doi:10.48550/arXiv.2403.11860>, Ding and Van Keilegom (2025) and D'Haen et al. (2025) <doi:10.1007/s10985-025-09647-0>.
Author: Ilias Willems [aut] , Gilles Crommen [aut] , Negera Wakgari Deresa [aut, cre] , Jie Ding [aut] , Claudia Czado [aut] , Myrthe D'Haen [aut] , Ingrid Van Keilegom [aut]
Maintainer: Negera Wakgari Deresa <negera.deresa@gmail.com>

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Package sampleSelection updated to version 1.2-16 with previous version 1.2-14 dated 2026-01-20

Title: Sample Selection Models
Description: Two-step and maximum likelihood estimation of Heckman-type sample selection models: standard sample selection models (Tobit-2), endogenous switching regression models (Tobit-5), sample selection models with binary dependent outcome variable, interval regression with sample selection (only ML estimation), and endogenous treatment effects models. These methods are described in the three vignettes that are included in this package and in econometric textbooks such as Greene (2011, Econometric Analysis, 7th edition, Pearson).
Author: Arne Henningsen [aut, cre] , Ott Toomet [aut], Sebastian Petersen [ctb]
Maintainer: Arne Henningsen <arne.henningsen@gmail.com>

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Package ibdfindr updated to version 0.5.0 with previous version 0.4.0 dated 2026-08-31

Title: HMM Toolkit for Inferring IBD Segments from SNP Data
Description: Implements continuous-time hidden Markov models (HMMs) to infer identity-by-descent (IBD) segments shared by two individuals. Supports two- and three-state models using single-nucleotide polymorphism (SNP) genotypes or genotype likelihoods. Provides posterior probabilities at each marker (forward-backward algorithm), prediction of IBD segments (Viterbi algorithm), and functions for visualising results. Supports both autosomal data and X-chromosomal data. The methodology and package are described in Vigeland et al. (2026) <doi:10.1016/j.fsigen.2025.103409>.
Author: Magnus Dehli Vigeland [aut, cre]
Maintainer: Magnus Dehli Vigeland <m.d.vigeland@medisin.uio.no>

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Package erplots updated to version 0.2.0 with previous version 0.1.2 dated 2026-09-09

Title: Model-Agnostic Exposure-Response Plots
Description: Provides a fluent mini-language for building exposure-response plots (model curves/ribbons, quantile-binned summaries, data strips, and grouped distribution panels) from observed data and a fitted exposure-response model. Designed to be model-agnostic: any model object that implements the er_predict() generic (and, optionally, er_simulate() and er_summary()) can be visualised.
Author: Danielle Navarro [aut, cre]
Maintainer: Danielle Navarro <djnavarro@protonmail.com>

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Package Nematode updated to version 0.3.2 with previous version 0.3.1 dated 2026-07-12

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>

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Package kst updated to version 0.5-6 with previous version 0.5-5 dated 2026-03-09

Title: Knowledge Space Theory
Description: Knowledge space theory by Doignon and Falmagne (1999) <doi:10.1007/978-3-642-58625-5> is a set- and order-theoretical framework, which proposes mathematical formalisms to operationalize knowledge structures in a particular domain. The 'kst' package provides basic functionalities to generate, handle, and manipulate knowledge structures and knowledge spaces.
Author: Christina Stahl [aut], David Meyer [aut], Cord Hockemeyer [aut, cre]
Maintainer: Cord Hockemeyer <cord.hockemeyer@uni-graz.at>

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Package heplots updated to version 1.8.6 with previous version 1.8.5 dated 2026-09-13

Title: Visualizing Hypothesis Tests in Multivariate Linear Models
Description: Provides HE plot and other functions for visualizing hypothesis tests in multivariate linear models. HE plots represent sums-of-squares-and-products matrices for linear hypotheses and for error using ellipses (in two dimensions) and ellipsoids (in three dimensions). It also provides other tools for analysis and graphical display of the models such as robust methods and homogeneity of variance covariance matrices. The related 'candisc' package provides visualizations in a reduced-rank canonical discriminant space when there are more than a few response variables.
Author: Michael Friendly [aut, cre] , John Fox [aut] , Georges Monette [aut] , Phil Chalmers [ctb] , Duncan Murdoch [ctb], Gavin Klorfine [ctb]
Maintainer: Michael Friendly <friendly@yorku.ca>

Diff between heplots versions 1.8.5 dated 2026-09-13 and 1.8.6 dated 2026-10-04

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Package broadcast updated to version 0.1.9.8 with previous version 0.1.9.6 dated 2026-08-21

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

Diff between broadcast versions 0.1.9.6 dated 2026-08-21 and 0.1.9.8 dated 2026-10-04

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New package Gtheory4LLM with initial version 0.2.0
Package: Gtheory4LLM
Title: Generalizability Theory for LLM Subjective Tasks
Version: 0.2.0
Author: Jin Liu [aut, cre, cph]
Maintainer: Jin Liu <Veronica.Liu0206@gmail.com>
Description: Studies the reliability and generalizability of subjective judgments produced by large language models (LLMs), including annotation, rating, and structured LLM-as-a-judge tasks. Specifies evaluator, prompt, generation, and repeated-run facets through crossed or explicitly nested random sources with configurable item interactions. Fits univariate models, joint Gaussian models, and joint discrete models for binary, ordinal, and unordered categorical outcomes, with source-specific covariance. Gaussian models use exact balanced likelihood; discrete models use a dense first-order Laplace approximation with Gaussian latent random effects. Supported balanced decision studies compare evaluator, prompt, and replication allocations using observed Gaussian or explicitly requested latent binary and ordinal reliability, with random or fixed facets after Brennan (2001). Gaussian fits report asymptotic Wald standard errors for their variance components and delta-method intervals for the coefficients; [...truncated...]
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.5.0)
Imports: Matrix (>= 1.6.0), OpenMx (>= 2.22.11), graphics, methods, stats, utils
Suggests: lme4, ordinal, knitr, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/Veronica0206/Gtheory4LLM
BugReports: https://github.com/Veronica0206/Gtheory4LLM/issues
NeedsCompilation: no
Packaged: 2026-09-23 03:32:10 UTC; runner
Repository: CRAN
Date/Publication: 2026-10-04 09:30:02 UTC

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New package fdb with initial version 0.2.0
Package: fdb
Title: Frequentist Dynamic Borrowing for Hybrid-Control Survival Trials
Version: 0.2.0
Description: Implements a class of likelihood-informed frequentist dynamic borrowing methods for hybrid-control survival trials based on penalized Cox partial likelihood estimation. Implements four likelihood-informed penalty structures (precision-weighted L1, smoothed integrated-gate, information-adaptive minimax concave penalty (MCP), and likelihood-ratio-weighted L1), together with the adaptive lasso borrowing approach of Li et al. (2023, <doi:10.1002/bimj.202100406>). Provides conditional model-based standard errors and local plug-in sandwich variance approximations, with smoothed penalties. Tools for design-stage lambda calibration via simulation, including a two-stage coarse-fine grid search, drift-level early stopping, and per-method tuning under both inference types, are also provided. A simulation harness for evaluating type I error and statistical power across population drift scenarios is included.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.6.0)
Imports: survival, stats, parallel, utils
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/yamagubed/fdb
BugReports: https://github.com/yamagubed/fdb/issues
NeedsCompilation: no
Packaged: 2026-09-23 04:21:13 UTC; API18340
Author: Yusuke Yamaguchi [aut, cre]
Maintainer: Yusuke Yamaguchi <yamagubed@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-04 09:20:02 UTC

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New package geomorphR with initial version 0.1.0
Package: geomorphR
Title: Geometric Features for Building Footprints in Sf Objects
Version: 0.1.0
Author: Jonathan Cohen [aut, cre]
Maintainer: Jonathan Cohen <cohen.jota@gmail.com>
Description: Extracts reproducible geometric and urban-morphology descriptors from polygon and multipart polygon building footprints stored as sf objects. Methods include area, perimeter, compactness, shape, bounding-box, topology, convexity, and orientation measures, together with optional building-height, floor-count, gross-floor-area, floor-space-index, coverage, volume, and floor-height metrics derived from explicitly named attribute columns. The resulting sf objects preserve the source attributes and geometry for spatial analysis, visualization, and downstream statistical or machine-learning workflows, with optional future-based parallel processing for larger datasets.
License: MIT + file LICENSE
URL: https://github.com/MakiJota/geomorphR
BugReports: https://github.com/MakiJota/geomorphR/issues
Encoding: UTF-8
Imports: sf, dplyr, future, future.apply, progressr
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-09-23 11:20:52 UTC; edgardo
Repository: CRAN
Date/Publication: 2026-10-04 09:00:02 UTC

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New package daisytools with initial version 1.0.1
Package: daisytools
Title: Reading and Visualizing Output from 'Daisy' Simulations
Version: 1.0.1
Description: Read, transform, and visualize log files produced by 'Daisy' simulations. Supports importing dlf output files, reshaping depth-dependent and time-series data, and creating static and interactive plots for exploratory analysis and comparison of simulation results.
License: GPL (>= 3)
Depends: R (>= 4.1.0)
Encoding: UTF-8
Language: en-US
Imports: cowplot, ggplot2, methods, rlang, stats, utils, plotly, data.table, tidyr, tidyselect
Suggests: knitr, rmarkdown, spelling, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://daisy-model.github.io/daisy-r-tools/, https://daisy.ku.dk/
NeedsCompilation: no
Packaged: 2026-09-23 08:25:33 UTC; runner
Author: Silas Oerting [aut, cre]
Maintainer: Silas Oerting <silas@di.ku.dk>
Repository: CRAN
Date/Publication: 2026-10-04 08:40:02 UTC

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New package AlphaSDM with initial version 0.2.0
Package: AlphaSDM
Title: Species Distribution Models on 'AlphaEarth' Satellite Embeddings
Version: 0.2.0
Description: Fits species distribution models and maps habitat suitability at up to 10 m resolution from occurrence records alone, using the 'AlphaEarth' Foundations satellite embeddings (Brown et al. 2025) <doi:10.48550/arXiv.2507.22291>. The embeddings, 64 values per pixel per year from a geospatial foundation model, replace environmental layers, so none need to be sourced or aligned. Provides tools to format occurrence records, place pseudo-absences, train and evaluate an ensemble of machine learning models, and export habitat-suitability rasters. Sampling, model training and prediction all run on 'Google Earth Engine', which requires a free account for noncommercial use.
License: MIT + file LICENSE
SystemRequirements: Python (>= 3.9) with the 'earthengine-api' module; 'reticulate' installs it automatically when needed.
Encoding: UTF-8
Language: en-US
Imports: jsonlite, reticulate (>= 1.41), sf, stats, utils
URL: https://james-longo.github.io/AlphaSDM/, https://github.com/James-Longo/AlphaSDM
BugReports: https://github.com/James-Longo/AlphaSDM/issues
Suggests: stars, withr, testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-09-23 10:55:12 UTC; james-longo
Author: James Longo [aut, cre, cph]
Maintainer: James Longo <james.longo.birds@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-04 09:00:07 UTC

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Package OpenSpecy (with last version 1.5.3) was removed from CRAN

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

2025-04-26 1.5.3
2024-11-04 1.4.0
2024-09-13 1.2.0
2024-06-13 1.1.0
2024-03-14 1.0.8
2024-03-11 1.0.7
2023-11-25 1.0.6
2023-10-31 1.0.5
2023-10-02 1.0.4
2023-09-13 1.0.3
2023-09-05 1.0.2
2022-07-06 0.9.5
2021-10-13 0.9.3
2021-05-20 0.9.2
2021-04-11 0.9.1
2021-04-09 0.9.0
2021-03-31 0.8.2

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Package robmixglm updated to version 1.2-9 with previous version 1.2-8 dated 2026-07-02

Title: Robust Generalized Linear Models (GLM) using Mixtures
Description: Robust generalized linear models (GLM) using a mixture method, as described in Beath (2018) <doi:10.1080/02664763.2017.1414164>. This assumes that the data are a mixture of standard observations, being a generalised linear model, and outlier observations from an overdispersed generalized linear model. The overdispersed linear model is obtained by including a normally distributed random effect in the linear predictor of the generalized linear model.
Author: Ken Beath [aut, cre]
Maintainer: Ken Beath <ken@kjbeath.id.au>

Diff between robmixglm versions 1.2-8 dated 2026-07-02 and 1.2-9 dated 2026-10-04

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Package metaplus updated to version 1.0-10 with previous version 1.0-8 dated 2026-02-14

Title: Robust Meta-Analysis and Meta-Regression
Description: Performs meta-analysis and meta-regression using standard and robust methods with confidence intervals based on the profile likelihood. Robust methods are based on alternative distributions for the random effect, either the t-distribution (Lee and Thompson, 2008 <doi:10.1002/sim.2897> or Baker and Jackson, 2008 <doi:10.1007/s10729-007-9041-8>) or mixtures of normals (Beath, 2014 <doi:10.1002/jrsm.1114>).
Author: Ken Beath [aut, cre], Ben Bolker [ctb], R Development Core Team [ctb]
Maintainer: Ken Beath <ken@kjbeath.id.au>

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