Wed, 11 Nov 2026

Package shrink updated to version 1.2.4 with previous version 1.2.3 dated 2023-10-31

Title: Global, Parameterwise and Joint Shrinkage Factor Estimation
Description: The predictive value of a statistical model can often be improved by applying shrinkage methods. This can be achieved, e.g., by regularized regression or empirical Bayes approaches. Various types of shrinkage factors can also be estimated after a maximum likelihood. While global shrinkage modifies all regression coefficients by the same factor, parameterwise shrinkage factors differ between regression coefficients. With variables which are either highly correlated or associated with regard to contents, such as several columns of a design matrix describing a nonlinear effect, parameterwise shrinkage factors are not interpretable and a compromise between global and parameterwise shrinkage, termed 'joint shrinkage', is a useful extension. A computational shortcut to resampling-based shrinkage factor estimation based on DFBETA residuals can be applied. Global, parameterwise and joint shrinkage for models fitted by lm(), glm(), coxph(), or mfp() is available. The package is also available a [...truncated...]
Author: Daniela Dunkler [aut, cre], Georg Heinze [aut]
Maintainer: Daniela Dunkler <daniela.dunkler@meduniwien.ac.at>

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Package evgam updated to version 1.0.3 with previous version 1.0.2 dated 2026-09-03

Title: Generalised Additive Extreme Value Models
Description: Methods for fitting various extreme value distributions with parameters of generalised additive model (GAM) form are provided. For details of distributions see Coles, S.G. (2001) <doi:10.1007/978-1-4471-3675-0>, GAMs see Wood, S.N. (2017) <doi:10.1201/9781315370279>, and the fitting approach see Wood, S.N., Pya, N. & Safken, B. (2016) <doi:10.1080/01621459.2016.1180986>. Details of how evgam works and various examples are given in Youngman, B.D. (2022) <doi:10.18637/jss.v103.i03>.
Author: Ben Youngman [aut, cre]
Maintainer: Ben Youngman <b.youngman@exeter.ac.uk>

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Package splineCox updated to version 0.0.9 with previous version 0.0.8 dated 2026-01-26

Title: A Two-Stage Estimation Approach to Cox Regression Using M-Spline Function
Description: Implements a two-stage estimation approach for Cox regression using five-parameter M-spline functions to model the baseline hazard. It allows for flexible hazard shapes and model selection based on log-likelihood criteria as described in Teranishi et al.(2025). In addition, the package provides functions for constructing and evaluating B-spline copulas based on five M-spline or I-spline basis functions, allowing users to flexibly model and compute bivariate dependence structures. Both the copula function and its density can be evaluated. Furthermore, the package supports computation of dependence measures such as Kendall's tau and Spearman's rho, derived analytically from the copula parameters.
Author: Ren Teranishi [aut, cre]
Maintainer: Ren Teranishi <ren.teranishi1227@gmail.com>

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Package glmmrOptim updated to version 0.5.2 with previous version 0.5.1 dated 2026-06-07

Title: Approximate Optimal Experimental Designs Using Generalised Linear Mixed Models
Description: Optimal design analysis algorithms for any study design that can be represented or modelled as a generalised linear mixed model including cluster randomised trials, cohort studies, spatial and temporal epidemiological studies, and split-plot designs. See <https://github.com/samuel-watson/glmmrBase/blob/master/README.md> for a detailed manual on model specification. A detailed discussion of the methods in this package can be found in Watson, Hemming, and Girling (2023) <doi:10.1177/09622802231202379>.
Author: Sam Watson [aut, cre], Yi Pan [aut]
Maintainer: Sam Watson <S.I.Watson@bham.ac.uk>

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Package enmpa updated to version 0.2.6 with previous version 0.2.5 dated 2026-06-25

Title: Ecological Niche Modeling using Presence-Absence Data
Description: A set of tools to perform Ecological Niche Modeling with presence-absence data. It includes algorithms for data partitioning, model fitting, calibration, evaluation, selection, and prediction. Other functions help to explore signals of ecological niche using univariate and multivariate analyses, and model features such as variable response curves and variable importance. Unique characteristics of this package are the ability to exclude models with concave quadratic responses, and the option to clamp model predictions to specific variables. These tools are implemented following principles proposed in Cobos et al., (2022) <doi:10.17161/bi.v17i.15985>, Cobos et al., (2019) <doi:10.7717/peerj.6281>, and Peterson et al., (2008) <doi:10.1016/j.ecolmodel.2007.11.008>.
Author: Luis F. Arias-Giraldo [aut, cre] , Marlon E. Cobos [aut] , A. Townsend Peterson [ctb]
Maintainer: Luis F. Arias-Giraldo <lfarias.giraldo@gmail.com>

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Package Analitica updated to version 2.4.1 with previous version 2.4.0 dated 2026-10-26

Title: Exploratory Data Analysis, Group Comparison Tools, and Other Procedures
Description: Provides a comprehensive set of tools for descriptive statistics, graphical data exploration, outlier detection, homoscedasticity testing, and multiple comparison procedures. Includes manual implementations of Levene's test, Bartlett's test, and the Fligner-Killeen test; parametric post hoc methods such as Tukey, Scheffe, Duncan, SNK, LSD, Games-Howell and Tamhane; and rank-based post hoc methods such as Dunn, Conover-Iman, Nemenyi, Dwass-Steel-Critchlow-Fligner and Bonferroni-corrected Mann-Whitney tests, with plots suited to each type of procedure. Also includes the Jonckheere-Terpstra trend test, the Jarque-Bera test with Glinskiy's (2024) correction, and a post hoc test planner that helps choose the most suitable procedure. Designed for use in teaching, applied statistical analysis, and reproducible research.
Author: Carlos Jimenez-Gallardo [aut, cre]
Maintainer: Carlos Jimenez-Gallardo <carlos.jimenez@ufrontera.cl>

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Package unikn updated to version 1.1.0 with previous version 1.0.0 dated 2024-04-16

Title: Graphical Elements of the University of Konstanz's Corporate Design
Description: Define and use graphical elements of corporate design manuals in R. The 'unikn' package <doi:10.5281/zenodo.7096191> provides color functions (by defining dedicated colors and color palettes, and commands for finding, changing, viewing, and using them) and styled text elements (e.g., for marking, underlining, or plotting colored titles). The pre-defined range of colors and text decoration functions is based on the corporate design of the University of Konstanz <https://www.uni-konstanz.de/>, but can be adapted and extended for other purposes or institutions.
Author: Hansjoerg Neth [aut, cre] , Nico Gradwohl [aut]
Maintainer: Hansjoerg Neth <h.neth@uni.kn>

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Package gadget3 updated to version 1.0-0 with previous version 0.15-1 dated 2026-01-12

Title: Globally-Applicable Area Disaggregated General Ecosystem Toolbox V3
Description: A framework to assist creation of marine ecosystem models, generating either 'R' or 'C++' code which can then be optimised using the 'TMB' package and standard 'R' tools. Principally designed to reproduce gadget2 models in 'TMB', but can be extended beyond gadget2's capabilities. Kasper Kristensen, Anders Nielsen, Casper W. Berg, Hans Skaug, Bradley M. Bell (2016) <doi:10.18637/jss.v070.i05> "TMB: Automatic Differentiation and Laplace Approximation.". Begley, J., & Howell, D. (2004) <doi:10.17895/ices.pub.25349308> "An overview of Gadget, the globally applicable area-disaggregated general ecosystem toolbox. ICES.".
Author: Jamie Lentin [aut, cre] , Bjarki Thor Elvarsson [aut] , William Butler [aut] , Marine and Freshwater Research Institute [cph]
Maintainer: Jamie Lentin <lentinj@shuttlethread.com>

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Package fastglm updated to version 0.1.4 with previous version 0.1.3 dated 2026-11-09

Title: Fast and Stable Fitting of Generalized Linear Models using 'RcppEigen'
Description: Fits generalized linear models efficiently using 'RcppEigen'. The iteratively reweighted least squares implementation utilizes the step-halving approach of Marschner (2011) <doi:10.32614/RJ-2011-012> to help safeguard against convergence issues. Provides formula and matrix interfaces for count and cumulative-link ordinal models, mean bias reduction, and fitting from data read in blocks of rows for supported model classes.
Author: Jared Huling [aut, cre], Douglas Bates [cph], Dirk Eddelbuettel [cph], Romain Francois [cph], Yixuan Qiu [cph], Noah Greifer [ctb]
Maintainer: Jared Huling <jaredhuling@gmail.com>

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Package grates updated to version 1.8.1 with previous version 1.8.0 dated 2026-03-25

Title: Grouped Date Classes
Description: Provides a coherent interface and implementation for creating grouped date classes.
Author: Tim Taylor [aut, cre]
Maintainer: Tim Taylor <tim.taylor@hiddenelephants.co.uk>

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Package ggfortify updated to version 0.4.25 with previous version 0.4.24 dated 2026-10-01

Title: Data Visualization Tools for Statistical Analysis Results
Description: Unified plotting tools for statistics commonly used, such as GLM, time series, PCA families, clustering and survival analysis. The package offers a single plotting interface for these analysis results and plots in a unified style using 'ggplot2'.
Author: Masaaki Horikoshi [aut], Yuan Tang [aut, cre] , Austin Dickey [ctb], Matthias Grenie [ctb], Ryan Thompson [ctb], Luciano Selzer [ctb], Dario Strbenac [ctb], Kirill Voronin [ctb], Damir Pulatov [ctb], Emik Lin [ctb]
Maintainer: Yuan Tang <terrytangyuan@gmail.com>

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Package dials updated to version 1.4.5 with previous version 1.4.4 dated 2026-06-22

Title: Tools for Creating Tuning Parameter Values
Description: Many models contain tuning parameters (i.e. parameters that cannot be directly estimated from the data). These tools can be used to define objects for creating, simulating, or validating values for such parameters.
Author: Max Kuhn [aut], Hannah Frick [aut, cre], Posit Software, PBC [cph, fnd]
Maintainer: Hannah Frick <hannah@posit.co>

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Package xemd updated to version 0.1.6 with previous version 0.1.5 dated 2026-11-08

Title: eXtended Empirical Mode Decomposition
Description: Signals are decomposed into oscillatory modes by empirical mode decomposition and its ensemble, complementary ensemble, complete ensemble, masked, bivariate and multivariate variants, by variational mode decomposition and its multivariate and successive variants, and by local mean decomposition, iterative filtering, time varying filter empirical mode decomposition and the empirical wavelet transform; the synchrosqueezed wavelet transform is also provided. Empirical mode decomposition is due to Huang et al. (1998) <doi:10.1098/rspa.1998.0193>, its ensemble variant to Wu and Huang (2009) <doi:10.1142/S1793536909000047> and variational mode decomposition to Dragomiretskiy and Zosso (2014) <doi:10.1109/TSP.2013.2288675>. The modes can be described by their instantaneous amplitude and frequency and their Hilbert spectrum, tested as intrinsic mode functions or against white noise, selected by energy and compared through orthogonality, mode splitting, reconstruction quality, [...truncated...]
Author: Alejandro Daniel Verri [aut, cre, cph, trl] , G. Rilling [ctb] , Marcelo A. Colominas [cph] , Pierre Masselot [ctb] , Vinicius Rezende Carvalho [ctb, cph] , Eduardo Mazoni [cph] , Jerome Gilles [ctb, cph] , Kathryn Heal [ctb] , Emanuele Papini [ctb, [...truncated...]
Maintainer: Alejandro Daniel Verri <averri@fi.uba.ar>

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Package TRexSelector updated to version 2.0.1 with previous version 2.0.0 dated 2026-11-06

Title: T-Rex Selector: High-Dimensional Variable Selection and FDR Control
Description: Variable selection for regression and classification in high-dimensional settings with control of the false discovery rate (FDR) at a user-specified target level. The implementations are primarily based on the T-Rex selector of Machkour, Muma and Palomar (2025) <doi:10.1016/j.sigpro.2025.109894> and its dependency-aware extension for correlated variables by Machkour, Muma and Palomar (2025) <doi:10.1016/j.sigpro.2025.109990>. Since version 2.0.0 the package comes as R bindings to the 'TRexSelector' C++ library, which replaces the pure-R implementation of the 1.x releases.
Author: Jasin Machkour [aut, cre], Fabian Scheidt [aut], Simon Tien [ctb], Daniel P. Palomar [aut], Michael Muma [aut]
Maintainer: Jasin Machkour <jasin.machkour@tu-darmstadt.de>

Diff between TRexSelector versions 2.0.0 dated 2026-11-06 and 2.0.1 dated 2026-11-11

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Package KrigInv updated to version 1.4.3 with previous version 1.4.2 dated 2022-09-09

Title: Kriging-Based Inversion for Deterministic and Noisy Computer Experiments
Description: Criteria and algorithms for sequentially estimating level sets of a multivariate numerical function, possibly observed with noise. The methods are described in Chevalier, Picheny and Ginsbourger (2014) <doi:10.1016/j.csda.2013.03.008> and Azzimonti, Ginsbourger, Chevalier, Bect and Richet (2021) <doi:10.1080/00401706.2019.1693427>.
Author: Clement Chevalier [aut], Dario Azzimonti [aut, cre] , David Ginsbourger [aut] , Victor Picheny [aut] , Yann Richet [ctb]
Maintainer: Dario Azzimonti <dario.azzimonti@gmail.com>

Diff between KrigInv versions 1.4.2 dated 2022-09-09 and 1.4.3 dated 2026-11-11

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Package glyrepr updated to version 1.2.1 with previous version 1.2.0 dated 2026-10-22

Title: Representation for Glycan Compositions and Structures
Description: Computational representations of glycan compositions and structures, including details such as linkages, anomers, and substituents. Supports varying levels of monosaccharide specificity (e.g., "Hex" or "Gal") and ambiguous linkages. Provides robust parsing and generation of IUPAC-condensed structure strings. Optimized for vectorized operations on glycan structures, with efficient handling of duplications. As the cornerstone of the glycoverse ecosystem, this package delivers the foundational data structures that power glycomics and glycoproteomics analysis workflows.
Author: Bin Fu [aut, cre, cph]
Maintainer: Bin Fu <23110220018@m.fudan.edu.cn>

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Package corehunter updated to version 3.2.4 with previous version 3.2.3 dated 2023-09-01

Title: Multi-Purpose Core Subset Selection
Description: Core Hunter is a tool to sample diverse, representative subsets from large germplasm collections, with minimum redundancy. Such so-called core collections have applications in plant breeding and genetic resource management in general. Core Hunter can construct cores based on genetic marker data, phenotypic traits or precomputed distance matrices, optimizing one of many provided evaluation measures depending on the precise purpose of the core (e.g. high diversity, representativeness, or allelic richness). In addition, multiple measures can be simultaneously optimized as part of a weighted index to bring the different perspectives closer together. The Core Hunter library is implemented in Java 8 as an open source project (see <http://www.corehunter.org>).
Author: Herman De Beukelaer [aut, cre], Guy Davenport [aut], Veerle Fack [ths]
Maintainer: Herman De Beukelaer <herman.debeukelaer@gmail.com>

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Package cifmodeling updated to version 1.2.3 with previous version 1.0.0 dated 2026-06-30

Title: Visualization and Polytomous Modeling of Survival and Competing Risks
Description: A publication-ready toolkit for modern survival and competing risks analysis with a minimal, formula-based interface. Both nonparametric estimation and direct polytomous regression of cumulative incidence functions (CIFs) are supported. The main functions 'cifcurve()', 'cifplot()', and 'cifpanel()' estimate survival and CIF curves and produce high-quality graphics with risk tables, censoring and competing-risk marks, and multi-panel or inset layouts built on 'ggplot2' and 'ggsurvfit'. The modeling function 'polyreg()' performs direct polytomous regression for coherent joint modeling of all cause-specific CIFs to estimate risk ratios, odds ratios, or subdistribution hazard ratios at user-specified time points. The function 'ciftest()' provides log-rank, Gray, robust score, augmented score, and multiple-direction tests for survival and competing-risk outcomes. All core functions adopt a formula-and-data syntax and return tidy and extensible outputs that integrate smoothly with 'modelsumm [...truncated...]
Author: Shiro Tanaka [aut, cre, cph] , Shigetaka Kobari [ctb], Chisato Honda [ctb]
Maintainer: Shiro Tanaka <gestimation@gmail.com>

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Package processpredictR (with last version 0.1.1) was removed from CRAN

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

2025-09-15 0.1.1
2023-01-17 0.1.0

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Package mltools (with last version 0.3.5) was removed from CRAN

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

2018-05-11 0.3.5
2017-12-05 0.3.4
2017-09-12 0.3.3
2017-08-28 0.3.2
2017-07-10 0.3.1
2017-06-28 0.3.0
2017-01-03 0.2.0
2016-11-27 0.1.0

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Package iimi (with last version 1.2.2) was removed from CRAN

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

2025-12-03 1.2.2
2024-11-01 1.2.1
2024-07-26 1.1.1
2024-07-18 1.1.0
2024-03-07 1.0.2

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Package rMIDAS (with last version 1.0.1) was removed from CRAN

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

2026-03-13 1.0.1
2023-10-11 1.0.0
2023-08-23 0.5.0
2023-06-13 0.4.2
2022-06-20 0.4.1
2022-02-10 0.4.0
2021-01-30 0.3.0
2020-11-02 0.2.0
2020-09-29 0.1.0

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Package SlideCNA (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:

2025-01-23 0.1.0

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Package ssel updated to version 0.5.2 with previous version 0.5.1 dated 2026-10-25

Title: Semi-Supervised Ensemble Learning
Description: Weighted-ensemble regression over base learners supported by 'caret' (Kuhn (2008) <doi:10.18637/jss.v028.i05>), with cross-validated hyperparameter selection, out-of-fold diagnostics, and signed residual- offset estimates. Multi-response problems use iterative input-space expansion related to Spyromitros-Xioufis et al. (2016) <doi:10.1007/s10994-016-5546-z>, with Jacobi or 'Gauss-Seidel' sweeps, package-defined companion gates and per-response iteration stitching. A package-defined pseudo-label stage promotes prediction rows by a cross-model and cross-dataset range ratio and accepts rounds with an out-of-fold squared-correlation gauge.
Author: Alejandro Verri Kozlowski [aut, cre, cph]
Maintainer: Alejandro Verri Kozlowski <averri@fi.uba.ar>

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Package rcicr updated to version 1.6.1 with previous version 1.5.0 dated 2026-09-27

Title: Reverse-Correlation Image-Classification Toolbox
Description: Generate stimuli and analyze data of reverse correlation image classification experiments (psychophysical tasks aimed at visualizing cognitive mental representations of faces). For the method see Dotsch and Todorov (2012) <doi:10.1177/1948550611430272>; for a practical primer see Brinkman, Todorov and Dotsch (2017) <doi:10.1080/10463283.2017.1381469>.
Author: Ron Dotsch [aut, cre]
Maintainer: Ron Dotsch <rdotsch@gmail.com>

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Package LAGOtrials updated to version 1.2.0 with previous version 1.1.1 dated 2026-11-04

Title: Learn-as-You-Go Adaptive Trial Optimization
Description: Optimizes interventions for adaptive "Learn-As-you-GO" (LAGO) trials, in which the intervention package is updated between stages using accumulating data. Given data from completed stages, lago_optimization() fits the outcome model (via 'stats' generalized linear models or, for clustered designs, cluster-robust variance) and computes the cost-optimal recommended intervention for the next stage that is expected to reach a target mean outcome and/or a desired statistical power. get_confidence_set() constructs confidence sets for the optimal intervention, and visualize_cost() and lago_report() summarize the cost surface and results. Methods are described in Nevo, Lok and Spiegelman (2021) <doi:10.1214/20-aos1978> and Bing, Spiegelman, Nevo and Lok (2025) <doi:10.1093/biomtc/ujaf061>.
Author: Ante Bing [aut, cre], Minh Bui [aut], Jingyu Cui [aut], Mike Bostock [cph]
Maintainer: Ante Bing <abing@bu.edu>

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Package DIVINE updated to version 0.1.3 with previous version 0.1.2 dated 2026-03-30

Title: Curated Datasets and Tools for Epidemiological Data Analysis
Description: Curated datasets and intuitive data management functions to streamline epidemiological data workflows. It is designed to support researchers in quickly accessing clean, structured data and applying essential cleaning, summarizing, visualization, and export operations with minimal effort. Whether you're preparing a cohort for analysis or creating reports, 'DIVINE' makes the process more efficient, transparent, and reproducible.
Author: Natalia Pallares [aut, cre], Joao Carmezim [aut], Pau Satorra [aut], Lucia Blanc [aut], Cristian Tebe [aut]
Maintainer: Natalia Pallares <napallares@recerca.clinic.cat>

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Tue, 10 Nov 2026

Package tseLCA updated to version 2.1.2 with previous version 2.1.1 dated 2026-10-31

Title: Three-Step Estimation for Latent Class Analysis
Description: Bias-adjusted three-step estimation of latent class models with covariates and distal outcomes. The latent class measurement model is estimated first, with 'multilevLCA' (Lyrvall et al., 2025) <doi:10.1080/00273171.2025.2473935>, and held fixed; observations are then classified; and the classes are related to covariates and distal outcomes with the maximum likelihood correction of Vermunt (2010) <doi:10.1093/pan/mpq025> and Bakk, Tekle and Vermunt (2013) <doi:10.1177/0081175012470644>, or the correction of Bolck, Croon and Hagenaars (2004) <doi:10.1093/pan/mph001>. Standard errors account for the uncertainty of the measurement model (Bakk, Oberski and Vermunt, 2014) <doi:10.1093/pan/mpu003>. Includes class enumeration, modal and proportional class assignment, covariate formulas, Gaussian, Poisson, binomial, and multinomial distal outcomes, the two-step estimator of Bakk and Kuha (2018) <doi:10.1007/s11336-017-9592-7>, measurement models applied to ne [...truncated...]
Author: Sam Lee [aut, cre, cph] , Jay Goodliffe [aut, cph]
Maintainer: Sam Lee <samlee@arizona.edu>

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Package TxEffectsSurvival updated to version 1.0.3 with previous version 1.0.2 dated 2026-01-09

Title: Treatment Effect Inference for Terminal and Non-Terminal Events under Competing Risks
Description: Provides several confidence interval and testing procedures, based on either semiparametric (using event-specific win ratios) or nonparametric measures, including the ratio of integrated cumulative hazard (RICH) and the ratio of integrated transformed cumulative hazard (RITCH), for treatment effect inference with terminal and non-terminal events under competing risks. The semiparametric results were developed in Yang et al. (2022 <doi:10.1002/sim.9266>), and the nonparametric results were developed in Yang (2025 <doi:10.1002/sim.70205>). For comparison, results for the win ratio (Finkelstein and Schoenfeld 1999 <doi:10.1002/(SICI)1097-0258(19990615)18:11%3C1341::AID-SIM129%3E3.0.CO;2-7>), Pocock et al. 2012 <doi:10.1093/eurheartj/ehr352>, and Bebu and Lachin 2016 <doi:10.1093/biostatistics/kxv032>) are included. The package also supports univariate survival analysis with a single event. In this package, effect size estimates and confidence intervals are ob [...truncated...]
Author: Daewoo Pak [aut, cre], Song Yang [aut]
Maintainer: Daewoo Pak <dpak@yonsei.ac.kr>

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Package ModalCens updated to version 0.3.1 with previous version 0.3.0 dated 2026-10-16

Title: Parametric Modal Regression with Right Censoring
Description: Implements parametric modal regression for continuous positive distributions of the exponential family and beyond (e.g., Log-Logistic, Birnbaum-Saunders, Log-t) under right censoring. Provides functions to link the conditional mode to a linear predictor using alternative parameterizations. Includes maximum likelihood estimation via numerical optimization, asymptotic inference based on the observed Fisher information matrix, and model diagnostics using randomized quantile residuals. See Galarza and Lachos (2026) <doi:10.48550/arXiv.2603.07099>.
Author: Christian Galarza [aut, cre], Victor Lachos [aut]
Maintainer: Christian Galarza <chedgala@espol.edu.ec>

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Package dittodb updated to version 0.1.12 with previous version 0.1.11 dated 2026-02-24

Title: A Test Environment for Database Requests
Description: Testing and documenting code that communicates with remote databases can be painful. Although the interaction with R is usually relatively simple (e.g. data(frames) passed to and from a database), because they rely on a separate service and the data there, testing them can be difficult to set up, unsustainable in a continuous integration environment, or impossible without replicating an entire production cluster. This package addresses that by allowing you to make recordings from your database interactions and then play them back while testing (or in other contexts) all without needing to spin up or have access to the database your code would typically connect to.
Author: Jonathan Keane [aut, cre] , Mauricio Vargas [aut] , Helen Miller [rev] , Etienne Racine [rev]
Maintainer: Jonathan Keane <jkeane@gmail.com>

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Package scrutiny updated to version 1.0.0 with previous version 0.6.1 dated 2025-12-02

Title: Error Detection in Science
Description: Test published summary statistics for consistency (Brown and Heathers, 2017, <doi:10.1177/1948550616673876>; Allard, 2018, <https://aurelienallard.netlify.app/post/anaytic-grimmer-possibility-standard-deviations/>; Heathers and Brown, 2019, <https://osf.io/5vb3u/>). The package also provides infrastructure for implementing new error detection techniques.
Author: Lukas Jung [aut, cre], Aurelien Allard [ctb], Nicolas Roman Posner [ctb]
Maintainer: Lukas Jung <jung-lukas@gmx.net>

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More information about scrutiny at CRAN
Permanent link

Package ellmercodex updated to version 0.2.1 with previous version 0.2.0 dated 2026-10-16

Title: 'ChatGPT' Plan Provider for 'ellmer'
Description: Connects 'ellmer' chats to a 'ChatGPT' subscription through 'OpenAI''s documented "Sign in with ChatGPT" flow for open-source, locally hosted apps <https://developers.openai.com/siwc/token-sharing-open-source>. Provides a stable, explicitly bounded core of the public 'ellmer' (>= 0.5.1) Chat object, including browser sign-in with dynamic client registration, package-scoped credential storage, redacted diagnostics, multi-turn text, streaming, structured-output, function-tool, asynchronous, cancellation, cloning, metadata, multimodal chat, account-specific model discovery, and reasoning-effort selection through the public 'Responses' API. Parallel and batch helper functions are explicitly unsupported because 'ChatGPT' plan usage is stream-only. This independent third-party integration is not endorsed by 'OpenAI'.
Author: Simon Herrera [aut, cre, cph]
Maintainer: Simon Herrera <simxnherrera@gmail.com>

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Package winn updated to version 0.1.6 with previous version 0.1.5 dated 2026-09-27

Title: White Noise Normalization for Mass Spectrometry Profiling Data
Description: Provides a decision-guided workflow for correcting technical variability in chemical profiling data. Tests for white noise identify measured features that need correction while preserving those that already pass. The workflow combines robust outlier adjustment, adaptive drift detection, change-point segmentation, batch correction, and probabilistic quotient normalization in a single pipeline or as modular steps. It supports parameter tuning using pooled quality-control samples as well as operation for studies without pooled controls.
Author: Tanmay Tanna [aut, cre, cph]
Maintainer: Tanmay Tanna <tanmay@tanmaytanna.com>

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Package munch updated to version 0.0.3 with previous version 0.0.2 dated 2026-04-16

Title: Rich Inline Text for 'grid' Graphics and 'flextable'
Description: Renders rich inline text (bold, italic, code, links, images) in grid graphics and 'ggplot2', from markdown or 'flextable' chunks. Provides grobs, theme elements, and geometry layers for styled text rendering. Only works with graphics devices that support 'systemfonts', such as those provided by 'ragg', 'svglite', or 'ggiraph'. The 'cairo_pdf' device is also supported when fonts are installed at the system level.
Author: David Gohel [aut, cre], ArData [cph]
Maintainer: David Gohel <david.gohel@ardata.fr>

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Package diy.sem.plot updated to version 1.1.0 with previous version 1.0.0 dated 2026-09-26

Title: Manually Plot Path Diagrams for Structural Equation Models
Description: Manually plot fully customisable path diagrams for structural equation models (SEM). Map out node positions using simple coordinates and specify where on the perimeter of each node paths begin and end. Extensive fine-tuning options allow the creation of a path diagram exactly as envisioned, entirely within R.
Author: Sebastian Nagy [aut, cre, cph]
Maintainer: Sebastian Nagy <snagy8610@gmail.com>

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Package cati updated to version 0.99.7 with previous version 0.99.6 dated 2026-03-31

Title: Community Assembly by Traits: Individuals and Beyond
Description: Detect and quantify community assembly processes using trait values of individuals or populations, the T-statistics and other metrics, and dedicated null models. Provides tools to analyse 'intraspecific' trait variability and its consequences for community assembly. Implements a framework using individual-level trait data to decompose variance at the population, species, and community levels. Methods are described in 'Taudiere' and 'Violle' (2016) <doi:10.1111/ecog.01433>.
Author: Adrien Taudiere [aut, cre, cph] , Cyrille Violle [aut] , Francois Munoz [ctb]
Maintainer: Adrien Taudiere <adrien.taudiere@zaclys.net>

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Package ZIHINAR1 updated to version 0.3.1 with previous version 0.3.0 dated 2026-11-10

Title: Zero-Inflated and Hurdle INAR(1) Models
Description: Provides tools for estimating Zero-Inflated INAR(1) (ZI-INAR(1)) and Hurdle INAR(1) (H-INAR(1)) models using 'Stan'. It allows users to simulate time series data for these models, estimate parameters, and evaluate model fit using various criteria. Functions include model estimation, simulation, and likelihood-based metrics. The zero-inflated and hurdle INAR(1) methods are described by Yang et al. (2025) <doi:10.1214/25-BJPS646>. Zero-inflated models also support Conway-Maxwell-Poisson innovations.
Author: Fusheng Yang [aut, cre], Victor Hugo Lachos Davila [aut], Alokesh Manna [aut], Dipak K. Dey [aut]
Maintainer: Fusheng Yang <fusheng.yang@uconn.edu>

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Package Stat2Data readmission to version 2.0.1 with previous version 2.0.0 dated 2019-01-04

Title: Datasets for Stat2
Description: Provides datasets for the textbook Stat2: Modeling with Regression and ANOVA (second edition). Also includes datasets from the first edition, Stat2: Building Models for a World of Data, and functions for plotting diagnostic graphics.
Author: Robin Lock [aut, cre], Ann Cannon [aut], Bradley Hartlaub [aut], Allan Rossman [aut], Jeffrey Witmer [aut]
Maintainer: Robin Lock <rlock@stlawu.edu>

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Package SpatialGEV updated to version 1.0.2 with previous version 1.0.1 dated 2024-06-09

Title: Fit Spatial Generalized Extreme Value Models
Description: Fit latent variable models with the GEV distribution as the data likelihood and the GEV parameters following latent Gaussian processes. The models in this package are built using the template model builder 'TMB' in R, which has the fast ability to integrate out the latent variables using Laplace approximation. This package allows the users to choose in the fit function which GEV parameter(s) is considered as a spatially varying random effect following a Gaussian process, so the users can fit spatial GEV models with different complexities to their dataset without having to write the models in 'TMB' by themselves. This package also offers methods to sample from both fixed and random effects posteriors as well as the posterior predictive distributions at different spatial locations. Methods for fitting this class of models are described in Chen, Ramezan, and Lysy (2024) <doi:10.1002/cjs.11829>.
Author: Meixi Chen [aut, cre], Martin Lysy [aut], Reza Ramezan [ctb]
Maintainer: Meixi Chen <meixi.chen@uwaterloo.ca>

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Package ragnar updated to version 0.4.0 with previous version 0.3.1 dated 2026-09-10

Title: Retrieval-Augmented Generation (RAG) Workflows
Description: Provides tools for implementing Retrieval-Augmented Generation (RAG) workflows with Large Language Models (LLM). Includes functions for document processing, text chunking, embedding generation, storage management, and content retrieval. Supports various document types and embedding providers ('Ollama', 'OpenAI'), with 'DuckDB' as the default storage backend. Integrates with the 'ellmer' package to equip chat objects with retrieval capabilities. Designed to offer both sensible defaults and customization options with transparent access to intermediate outputs. For a review of retrieval-augmented generation methods, see Gao et al. (2023) "Retrieval-Augmented Generation for Large Language Models: A Survey" <doi:10.48550/arXiv.2312.10997>.
Author: Tomasz Kalinowski [aut, cre], Daniel Falbel [aut], Posit Software, PBC [cph, fnd]
Maintainer: Tomasz Kalinowski <tomasz@posit.co>

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Package mx.client updated to version 0.3.0 with previous version 0.2.1 dated 2026-09-11

Title: Stateful Matrix Client Helpers
Description: Stateful helpers for building 'Matrix' (<https://matrix.org>) chat clients in R. Builds on the low-level 'mx.api' Client-Server API bindings, adding local configuration persistence, room resolution, sync cursor handling, sync-event extraction, invite acceptance, a conservative Markdown-to-HTML converter for formatted messages, and 'Olm'/'Megolm' end-to-end encryption orchestration over the optional 'mx.crypto' package.
Author: Troy Hernandez [aut, cre] , cornball.ai [cph]
Maintainer: Troy Hernandez <troy@cornball.ai>

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Package infocentroid updated to version 0.1.1 with previous version 0.1.0 dated 2026-11-08

Title: Information-Dense Centroid Metrics
Description: Traditional central tendency and dispersion measures such as the mean and standard deviation can be misleading for multimodal or outlier-contaminated data. This package implements information-theoretic alternatives that weight observations by their local probability density, focusing on the region containing the bulk of the data. The core functions include ic_weights() for kernel density or histogram based entropy weighting, ic_center() and ic_dispersion() for weighted location and spread, ic_combined() for a single information density score between zero and one, and ic_plot() for visualization.
Author: Ahmet Kutuk [aut, cre]
Maintainer: Ahmet Kutuk <ahmetkutuk@gmail.com>

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Package ErrorTracer updated to version 1.4.3 with previous version 1.4.2 dated 2026-11-05

Title: Bayesian Error Propagation and Forecast Uncertainty Decomposition
Description: Provides a full pipeline from regularized or standard regression models (elastic net, linear models, generalized linear models, random forests) to informed Bayesian priors, or accepts an existing 'brms' fit directly, for structured forecast uncertainty decomposition (parameter / environmental / residual, plus group-level variance for new random-effect levels and a temporal component under autocorrelation, alongside global Sobol indices), forecast shelf life analysis (quantifying when a forecast becomes uninformative, with Kaplan-Meier pooling across forecast origins), null-model skill scoring, and calibration diagnostics. Designed for ecological and genomic forecasting with climate or environmental covariates. Methods build on Bürkner (2017) <doi:10.18637/jss.v080.i01> for Bayesian regression via 'Stan', Friedman, Hastie, and Tibshirani (2010) <doi:10.18637/jss.v033.i01> for elastic net regularization, Wright and Ziegler (2017) <doi:10.18637/jss.v077.i01> for random f [...truncated...]
Author: Luis Javier Madrigal-Roca [aut, cre], John Kelly [aut]
Maintainer: Luis Javier Madrigal-Roca <madrigalrocalj@yahoo.com>

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Package douconca updated to version 1.2.6.1 with previous version 1.2.6 dated 2026-09-09

Title: Double Constrained Correspondence Analysis for Trait-Environment Analysis in Ecology
Description: Double constrained correspondence analysis (dc-CA) analyzes (multi-)trait (multi-)environment ecological data by using the 'vegan' package and native R code. Throughout the two step algorithm of ter Braak et al. (2018) is used. This algorithm combines and extends community- (sample-) and species-level analyses, i.e. the usual community weighted means (CWM)-based regression analysis and the species-level analysis of species-niche centroids (SNC)-based regression analysis. The two steps use canonical correspondence analysis to regress the abundance data on to the traits and (weighted) redundancy analysis to regress the CWM of the orthonormalized traits on to the environmental predictors. The function dc_CA() has an option to divide the abundance data of a site by the site total, giving equal site weights. This division has the advantage that the multivariate analysis corresponds with an unweighted (multi-trait) community-level analysis, instead of being weighted. The first step of the al [...truncated...]
Author: Cajo J.F ter Braak [aut] , Bart-Jan van Rossum [aut, cre]
Maintainer: Bart-Jan van Rossum <bart-jan.vanrossum@wur.nl>

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Package bgw updated to version 0.1.5 with previous version 0.1.4 dated 2026-02-04

Title: Bunch-Gay-Welsch Statistical Estimation
Description: Performs statistical estimation and inference-related computations by accessing and executing modified versions of 'Fortran' subroutines originally published in the Association for Computing Machinery (ACM) journal Transactions on Mathematical Software (TOMS) by Bunch, Gay and Welsch (1993) <doi:10.1145/151271.151279>. The acronym 'BGW' (from the authors' last names) will be used when making reference to technical content (e.g., algorithm, methodology) that originally appeared in ACM TOMS. A key feature of BGW is that it exploits the special structure of statistical estimation problems within a trust-region-based optimization approach to produce an estimation algorithm that is much more effective than the usual practice of using optimization methods and codes originally developed for general optimization. The 'bgw' package bundles 'R' wrapper (and related) functions with modified 'Fortran' source code so that it can be compiled and linked in the 'R' environment for fast execution [...truncated...]
Author: David S. Bunch [aut, cre] , David M. Gay [ctb], Roy E. Welsch [ctb], Stephane Hess [ctb], David Palma [ctb]
Maintainer: David S. Bunch <dsbunch@ucdavis.edu>

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Package aridagri updated to version 2.1.0 with previous version 2.0.4 dated 2026-07-10

Title: Comprehensive Statistical Tools for Agricultural Research
Description: Analysis of variance for the experimental designs used in agricultural research, with the correct error term for every stratum, standard error of mean (SEm), standard error of difference (SEd), critical difference (CD), coefficient of variation (CV) and letter groupings: completely randomized design (CRD), randomized complete block design (RCBD) with missing plots, Latin square, two- and three-factor factorials, split-plot designs (including factorial main or sub-plots), split-split-plot and strip-plot designs, and combined analysis over environments. Also covers the augmented randomized complete block design with adjusted means and genetic parameters (Federer, 1961 <doi:10.2307/2527837>), alpha lattice designs with intra-block or residual maximum likelihood (REML) analysis (Patterson and Williams, 1976 <doi:10.1093/biomet/63.1.83>) and repeated measures with Greenhouse-Geisser and Huynh-Feldt corrections and covariance structure models. Mean comparisons (least significant [...truncated...]
Author: Lalit Kumar Rolaniya [aut, cre] , Ram Lal Jat [aut] , Monika Punia [aut] , Raja Ram Choudhary [aut], Hemant Poonia [aut]
Maintainer: Lalit Kumar Rolaniya <lalitrolaniya@gmail.com>

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More information about aridagri at CRAN
Permanent link

Package VizModules updated to version 0.6.0 with previous version 0.5.0 dated 2026-09-29

Title: Flexible, Interactive 'shiny' Modules for Almost Any Plot
Description: Offers a core selection of interactivity-first 'shiny' modules for many plot types meant to serve as flexible building blocks for applications and as the base for more complex modules. These modules allow for the rapid and convenient construction of 'shiny' apps with very few lines of code and decouple plotting from the underlying data. These modules allow for full plot aesthetic customization by the end user through UI inputs. Utility functions for simple UI organization, automated UI tooltips, and additional plot enhancements are also provided. Includes a multi-panel figure builder app for arranging multiple modules together in a free-form layout.
Author: Jared Andrews [aut, cre] , Jacob Martin [aut]
Maintainer: Jared Andrews <jared.andrews07@gmail.com>

Diff between VizModules versions 0.5.0 dated 2026-09-29 and 0.6.0 dated 2026-11-10

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 VizModules-0.6.0/VizModules/R/dumbbellPlot_module_server.R                                           |   24 
 VizModules-0.6.0/VizModules/R/dumbbellPlot_module_ui.R                                               |   10 
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 VizModules-0.6.0/VizModules/R/module_showcase.R                                                      |   16 
 VizModules-0.6.0/VizModules/R/multiColorPicker.R                                                     |   12 
 VizModules-0.6.0/VizModules/R/multiDynamicInput.R                                                    |   13 
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 VizModules-0.6.0/VizModules/R/plot_facets.R                                                          |   85 
 VizModules-0.6.0/VizModules/R/plot_fit_lines.R                                                       |   18 
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 VizModules-0.6.0/VizModules/R/radarPlot_module_server.R                                              |   15 
 VizModules-0.6.0/VizModules/R/radarPlot_module_ui.R                                                  |    7 
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Package starburst updated to version 0.3.12 with previous version 0.3.11 dated 2026-11-06

Title: Seamless AWS Cloud Bursting for Parallel R Workloads
Description: A 'future' backend that enables seamless execution of parallel R workloads on 'Amazon Web Services' ('AWS', <https://aws.amazon.com>), including 'EC2' and 'Fargate'. 'staRburst' handles environment synchronization, data transfer, quota management, and worker orchestration automatically, allowing users to scale from local execution to 100+ cloud workers with a single line of code change.
Author: Scott Friedman [aut, cre]
Maintainer: Scott Friedman <help@starburst.ing>

Diff between starburst versions 0.3.11 dated 2026-11-06 and 0.3.12 dated 2026-11-10

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Package pmsims updated to version 1.1.0 with previous version 1.0.0 dated 2026-09-17

Title: Simulation-Based Sample Size Tools for Prediction Models
Description: Provides a flexible, simulation-based toolkit for exploring how much data are needed to develop reliable prediction models. It works by repeatedly generating data, fitting models, and evaluating performance to show how sample size affects predictive accuracy, calibration, and overfitting. The package supports continuous, binary, and time-to-event outcomes and can be used with both regression-based modelling approaches and machine-learning methods. It is designed to help researchers plan studies, assess feasibility, and build more robust and generalisable models. The methods are described in Olaniran et al. (2026) <doi:10.1186/s12874-026-02935-9> and Shamsutdinova et al. (2026) <doi:10.48550/arXiv.2602.23507>.
Author: Ewan Carr [aut, cre] , Gordon Forbes [aut] , Ridwan Olaniran [aut] , Diana Shamsutdinova [aut] , Daniel Stahl [aut] , Sarah Markham [aut] , Felix Zimmer [aut]
Maintainer: Ewan Carr <ewan.carr@kcl.ac.uk>

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Package land4health updated to version 0.3.2 with previous version 0.3.0 dated 2026-10-08

Title: Remote Sensing Metrics for Spatial Health Analysis
Description: Calculate and extract remote sensing metrics for spatial analysis in the field of health. The package offers R users a quick and straightforward way to obtain areal or zonal statistics of key environmental indicators, covariates, and vector-borne disease data ideal for modeling infectious diseases within the framework of spatial epidemiology.
Author: Antony Barja [aut, cph] , Yomali Ferreyra [cre] , Diego Villa [ctb], Gabriel Carrasco-Escobar [aut]
Maintainer: Yomali Ferreyra <yomali.ferreyra@upch.pe>

Diff between land4health versions 0.3.0 dated 2026-10-08 and 0.3.2 dated 2026-11-10

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More information about land4health at CRAN
Permanent link

Package geomorph updated to version 4.1.2 with previous version 4.1.1 dated 2026-07-05

Title: Geometric Morphometric Analyses of 2D and 3D Landmark Data
Description: Read and manipulate landmark data, generate shape variables via Procrustes analysis for points, curves and surfaces, perform shape analyses, and provide graphical depictions of shapes and patterns of shape variation.
Author: Dean Adams [aut, cre], Michael Collyer [aut], Antigoni Kaliontzopoulou [aut], Erica Baken [aut]
Maintainer: Dean Adams <dcadams@iastate.edu>

Diff between geomorph versions 4.1.1 dated 2026-07-05 and 4.1.2 dated 2026-11-10

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Package form.model updated to version 0.6.2 with previous version 0.3.2 dated 2026-11-06

Title: Neutral Versioned Form Definitions and Workbook Layouts
Description: Loads explicit YAML resources describing versioned forms, fields, declarative constraints, reference requirements, and workbook layouts. Checks model definitions against an installed YAML schema and consistency rules, and provides value-like inspection APIs. Does not validate submitted data or connect to external services.
Author: Tony Chemit [aut, cre, cph]
Maintainer: Tony Chemit <dev@tchemit.fr>

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Package dppca updated to version 1.0.0 with previous version 0.1.0 dated 2026-06-04

Title: Differentially Private Principal Component Analysis and Visualization
Description: Provides tools for differentially private principal component analysis (PCA) and visualization. Includes private principal component directions, scree and proportion of variance explained (PVE) estimates, and two-dimensional private score histograms with synthetic sampled points. Supports additive and sparse histogram mechanisms, group-wise score visualizations, and optional non-private comparisons. An integrated workflow produces loading plots, scree plots, score plots, variable plots, and biplots from shared private PCA estimates. An interactive 'shiny' application is also provided. Private direction estimation is based on Kim and Jung (2025) <doi:10.1002/sam.70053>. Private scree estimation draws on Dwork and Roth (2014) <doi:10.1561/0400000042>, Ramsay and Spicker (2025) <doi:10.48550/arXiv.2501.14095>, and Yu, Ren and Zhou (2024) <doi:10.3150/23-BEJ1706>. Private score frames use unbounded quantile mechanisms from Durfee (2023) <doi:10.52202/075280-3394& [...truncated...]
Author: Yejin Jo [aut, cre], Minwoo Kim [aut], Sungkyu Jung [aut]
Maintainer: Yejin Jo <yejinjo0220@gmail.com>

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Package connectapi updated to version 0.13.0 with previous version 0.12.1 dated 2026-04-29

Title: Utilities for Interacting with the 'Posit Connect' Server API
Description: Provides a helpful 'R6' class and methods for interacting with the 'Posit Connect' Server API along with some meaningful utility functions for regular tasks. API documentation varies by 'Posit Connect' installation and version, but the latest documentation is also hosted publicly at <https://docs.posit.co/connect/api/>.
Author: Kara Woo [aut, cre], Toph Allen [aut], Neal Richardson [aut], Sean Lopp [aut], Cole Arendt [aut], Posit, PBC [cph, fnd]
Maintainer: Kara Woo <kara.woo@posit.co>

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Package SimplexRegression updated to version 0.1.7 with previous version 0.1.6 dated 2026-08-21

Title: Simplex Regression Models with Parametric or Fixed Mean Link Functions
Description: Fits and analyzes simplex regression models with either fixed or parametric mean link functions. Implements the simplex probability density function, cumulative distribution function, quantile function, random number generation, and variance evaluation. Offers several fixed and parametric link functions for the mean submodel, tools for residual analysis and diagnostic plotting, hypothesis testing procedures, and influence measures such as Cook's distance and leverage (hat values). Includes the Scout Score (SS) criterion for model selection, enabling comprehensive inference and diagnostic analysis within the simplex regression framework. For more details see Barndorff-Nielsen and Jorgensen (1991) <doi:10.1016/0047-259X(91)90008-P> and Justino and Cribari-Neto (2026) <doi:10.1016/j.apm.2025.116713>.
Author: Maria Eduarda da Cruz Justino [aut, cre] , Francisco Cribari-Neto [ctb, ths]
Maintainer: Maria Eduarda da Cruz Justino <eueduardacruz@gmail.com>

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Package RKaggle updated to version 0.1.2 with previous version 0.1.1 dated 2025-05-08

Title: 'Kaggle' Dataset Downloader 'API'
Description: Easily download datasets from Kaggle <https://www.kaggle.com/> directly into your R environment using 'RKaggle'. Streamline your data analysis workflows by importing datasets effortlessly and focusing on insights rather than manual data handling. Perfect for data enthusiasts and professionals looking to integrate Kaggle datasets into their R projects with minimal hassle.
Author: Benjamin Smith [aut, cre]
Maintainer: Benjamin Smith <benyamin.smith@mail.utoronto.ca>

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Package NBDCtools updated to version 1.1.2 with previous version 1.1.0 dated 2026-03-23

Title: National Institutes of Health Brain Development Cohorts Data Hub Tools
Description: A suite of functions to work with data from the National Institutes of Health Brain Development Cohorts Data Hub. The package provides tools to create, clean, process, and filter datasets and associated metadata. These utilities are intended to simplify reproducible data-preparation for future research.
Author: Le Zhang [aut, cre] , Janosch Linkersdoerfer [aut]
Maintainer: Le Zhang <dairc.service@gmail.com>

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Package MetricGraph updated to version 1.7.0 with previous version 1.6.0 dated 2026-05-06

Title: Random Fields on Metric Graphs
Description: Facilitates creation and manipulation of metric graphs, such as street or river networks. Further facilitates operations and visualizations of data on metric graphs, and the creation of a large class of random fields and stochastic partial differential equations on such spaces. These random fields can be used for simulation, prediction and inference. In particular, linear mixed effects models including random field components can be fitted to data based on computationally efficient sparse matrix representations. Interfaces to the R packages 'INLA' and 'inlabru' are also provided, which facilitate working with Bayesian statistical models on metric graphs. The main references for the methods are Bolin, Simas and Wallin (2024) <doi:10.3150/23-BEJ1647>, Bolin, Kovacs, Kumar and Simas (2023) <doi:10.1090/mcom/3929> and Bolin, Simas and Wallin (2023) <doi:10.48550/arXiv.2304.03190> and <doi:10.48550/arXiv.2304.10372>.
Author: David Bolin [cre, aut], Alexandre Simas [aut], Jonas Wallin [aut]
Maintainer: David Bolin <davidbolin@gmail.com>

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Package XSLmodels updated to version 0.5.0 with previous version 0.4.0 dated 2026-10-18

Title: Run and Optimize Cross-Situational Word Learning Models
Description: A collection of cognitive models of cross-situational word learning, together with methods and datasets for fitting and cross-validating them against experimental and corpus data, and for plotting the results.
Author: George Kachergis [aut, cre] , Mika Braginsky [aut] , Michael C. Frank [aut]
Maintainer: George Kachergis <george.kachergis@gmail.com>

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Package shidashi updated to version 0.3.1 with previous version 0.3.0 dated 2026-10-11

Title: A Shiny Dashboard Template Modular System with Chat Bot Support
Description: A template dashboard system with AI agent integrated. Comes with default themes that can be customized. Developers can upload modified templates on 'Github', and users can easily download templates with 'RStudio' project wizard. The key features of the default template include light and dark theme switcher, resizing graphs, synchronizing inputs across sessions, new notification system, fancy progress bars, and card-like flip panels with back sides, as well as various of 'HTML' tool widgets.
Author: Zhengjia Wang [cph, aut, cre] , ColorlibHQ [cph] , Bootstrap contributors [ctb] , Twitter, Inc [cph] , Ivan Sagalaev [ctb, cph] , Rene Haas [ctb, cph] , Zeno Rocha [ctb, cph]
Maintainer: Zhengjia Wang <dipterix.wang@gmail.com>

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New package ggpyramid with initial version 0.1.0
Package: ggpyramid
Title: Population Pyramids with 'ggplot2'
Version: 0.1.0
Description: Build population pyramids, the back-to-back bar charts of a population by age group and sex, as layers of a 'ggplot2' plot. A position adjustment mirrors one side and stacks subgroups within each side, so bars, labels and lines from any layer land on the correct side while the plot can still be faceted, themed and extended as usual. A coordinate system labels both sides with absolute values, gives them one shared scale, and places the age axis on either side or in a gap at the centre. Further layers count individual records or sum aggregated values, show proportions, label the bars, and draw a second population as a stepped outline for comparison.
License: MIT + file LICENSE
Depends: R (>= 4.1.0)
Encoding: UTF-8
Language: en-GB
Imports: cli, ggplot2 (>= 4.0.0), rlang, scales, stats, utils, vctrs
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), vdiffr
VignetteBuilder: knitr
URL: https://github.com/matanhakim/ggpyramid, https://matanhakim.github.io/ggpyramid/
BugReports: https://github.com/matanhakim/ggpyramid/issues
LazyData: true
NeedsCompilation: no
Packaged: 2026-10-26 13:27:22 UTC; matan
Author: Matan Hakim [aut, cre, cph]
Maintainer: Matan Hakim <matanhakim@gmail.com>
Repository: CRAN
Date/Publication: 2026-11-10 18:00:02 UTC

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Package geosmooth updated to version 0.2.0 with previous version 0.1.0 dated 2026-09-12

Title: Geometric Methods for Nonparametric Regression and Density Estimation
Description: Provides geometric methods for nonparametric regression and density estimation on data represented as coordinate matrices or weighted graphs. Methods include local polynomial smoothing, model-averaged local polynomial smoothing, local polynomial lifting trend filtering, synchronized local polynomial lifting trend filtering, order-2 Gaussian and logistic trend filtering, graph low-pass filtering, and Hessian-energy regression. Methodological references include Gajer and Ravel (2025) "Adaptive Geometric Regression for High-Dimensional Structured Data" <doi:10.48550/arXiv.2511.03817>, Fan and Gijbels (1996, ISBN:9780412983214), Wang et al. (2016) "Trend Filtering on Graphs" <https://www.jmlr.org/papers/v17/15-147.html>, and Kim et al. (2009) "Semi-Supervised Regression Using Hessian Energy" <https://papers.nips.cc/paper/3741-semi-supervised-regression-using-hessian-energy-with-an-application-to-semi-supervised-dimensionality-reduction>.
Author: Pawel Gajer [aut, cre], Gael Guennebaud [ctb] , Benoit Jacob [ctb] , Authors of Eigen [cph] , Yixuan Qiu [ctb, cph] , Contributors to Spectra [cph] , Sunil Arya [ctb, cph] , David M. Mount [ctb, cph] , University of Maryland [cph]
Maintainer: Pawel Gajer <pgajer@gmail.com>

Diff between geosmooth versions 0.1.0 dated 2026-09-12 and 0.2.0 dated 2026-11-10

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New package farfima with initial version 0.1.0
Package: farfima
Title: Order Selection and Forecasting in Long-Memory Functional Time Series
Version: 0.1.0
Description: Provides tools for modelling, forecasting and visualising long-memory functional time series with the functional autoregressive fractionally integrated moving-average model. The model is fitted in three steps, each of which can also be used on its own. First, the memory parameter is estimated from the leading principal component scores, for example by local Whittle or by bias-corrected local polynomial Whittle with noise. Second, the autoregressive and moving-average orders of the fractionally differenced curves are selected by a functional information criterion, functional Box-Jenkins or cross-validation. Third, the operators are estimated. The point forecasts come with conformal prediction bands that quantify their uncertainty. Visualisation tools include improved rainbow plots and plots of the fitted model and its forecasts.
License: GPL-2
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: FCVAR, far, ftsa, longmemo, rainbow, sde, stats, utils, graphics, grDevices, vars, withr, wwntests
Suggests: demography, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-10-26 08:38:12 UTC; liuchang
Author: Chang Liu [aut, cre], Han Lin Shang [aut], Garth Tarr [aut], Samuel Mueller [aut]
Maintainer: Chang Liu <chang.liu45@students.mq.edu.au>
Repository: CRAN
Date/Publication: 2026-11-10 17:30:02 UTC

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New package euaiact with initial version 0.1.1
Package: euaiact
Title: Offline Calculation and Logic Rules for the EU Artificial Intelligence Act
Version: 0.1.1
Description: Native offline evaluation of explicit calculation and logic rules for documented versions of the EU Artificial Intelligence Act. Supports German identifiers, unknown facts and traceable decisions. Explicitly bounded rule catalogue based on European Parliament and Council (2024) <https://eur-lex.europa.eu/eli/reg/2024/1689/oj>; evaluation of a factual condition is not a conformity assessment.
License: Apache License (== 2.0)
Encoding: UTF-8
Language: de
Depends: R (>= 4.1.0)
Imports: jsonlite, stats
URL: https://github.com/rds0001/euaiact-r
BugReports: https://github.com/rds0001/euaiact-r/issues
NeedsCompilation: no
Packaged: 2026-10-26 08:13:15 UTC; qwert123
Author: Dimitrios Geromichalos [aut, cre] , RiskDataScience GmbH [cph]
Maintainer: Dimitrios Geromichalos <riskdatascience@web.de>
Repository: CRAN
Date/Publication: 2026-11-10 17:20:02 UTC

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Package CALF updated to version 1.2.0 with previous version 1.0.17 dated 2022-03-07

Title: Coarse Approximation Linear Function
Description: Contains greedy algorithms for coarse approximation linear functions.
Author: Stephanie Lane [aut], John Ford [aut, cre], Clark Jeffries [aut], Diana Perkins [aut]
Maintainer: John Ford <JoRuFo@gmail.com>

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Package wikiTools updated to version 1.2.27 with previous version 1.2.26 dated 2026-08-22

Title: Tools for Wikidata and Wikipedia
Description: A set of wrappers intended to check, read and download information from the Wikimedia sources. It is specifically created to work with names of celebrities, in which case their information and statistics can be downloaded. Additionally, it also builds links and snippets to use in combination with the function gallery() in netCoin package.
Author: Modesto Escobar [aut, cph, cre] , Angel Zazo [aut], Carlos Prieto [aut] , David Barrios [aut], Cristina Calvo [aut]
Maintainer: Modesto Escobar <modesto@usal.es>

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Package fahb updated to version 1.0.2 with previous version 1.0.1 dated 2026-09-25

Title: Design and Analysis of Pilot Trials Assessing Recruitment Feasibility
Description: Find optimal decisions rules for guiding progression decisions following a pilot trial, assuming a hierarchical recruitment model. Estimate the time until the main trial recruits to target, given the recruitment data observed in the pilot.
Author: Duncan Wilson [aut, cre, cph]
Maintainer: Duncan Wilson <d.t.wilson@leeds.ac.uk>

Diff between fahb versions 1.0.1 dated 2026-09-25 and 1.0.2 dated 2026-11-10

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Package stream updated to version 2.0.7 with previous version 2.0.6 dated 2026-07-27

Title: Infrastructure for Data Stream Mining
Description: A framework for data stream modeling and associated data mining tasks such as clustering and classification. The development of this package was supported in part by NSF IIS-0948893, NSF CMMI 1728612, and NIH R21HG005912. Hahsler et al (2017) <doi:10.18637/jss.v076.i14>.
Author: Michael Hahsler [aut, cre, cph] , Matthew Bolanos [ctb], John Forrest [ctb], Matthias Carnein [ctb], Dennis Assenmacher [ctb], Dalibor Krleza [ctb]
Maintainer: Michael Hahsler <mhahsler@lyle.smu.edu>

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Package sbm updated to version 1.0.0 with previous version 0.4.7 dated 2024-09-16

Title: Stochastic Blockmodels
Description: A collection of tools and functions to adjust a variety of stochastic blockmodels (SBM). Supports at the moment Simple, Bipartite, 'Multipartite' and Multiplex SBM (undirected or directed with Bernoulli, Poisson or Gaussian emission laws on the edges). For Simple and Bipartite SBM, covariates can be given on the edges, or on the nodes to drive the block memberships, and the network may contain missing values. See Léger (2016) <doi:10.48550/arXiv.1602.07587>, 'Barbillon et al.' (2020) <doi:10.1111/rssa.12193> and 'Bar-Hen et al.' (2020) <doi:10.48550/arXiv.1807.10138>.
Author: Julien Chiquet [aut, cre] , Sophie Donnet [aut] , Pierre Barbillon [aut] , Louis Lacoste [aut], Jean-Benoist Leger [ctb], Julie Aubert [ctb] , grossBM team [ctb]
Maintainer: Julien Chiquet <julien.chiquet@inrae.fr>

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More information about sbm at CRAN
Permanent link

Package rGEDI readmission to version 0.6.0 with previous version 0.1.11 dated 2021-01-20

Title: NASA's Global Ecosystem Dynamics Investigation (GEDI) Data Visualization and Processing
Description: Provides an end-to-end workflow for NASA Global Ecosystem Dynamics Investigation (GEDI) Level 1B, Level 2A, Level 2B, Level 3, Level 4A, and Level 4B data. Functions search NASA catalogues, download granules, stream HDF5 products from Earthdata Cloud, and extract geolocations, waveforms, elevation and relative-height metrics, canopy cover, plant area profiles, and aboveground biomass. Methods quality-filter and spatially clip HDF5, tabular, and raster products; calculate footprint and polygon statistics; create gridded summaries; and visualize orbital tracks and measurements. The package also simulates GEDI-like waveforms from airborne laser-scanning point clouds and supports spatial sampling, predictive modelling, ancillary-data extraction, and wall-to-wall upscaling with optional Google Earth Engine workflows.
Author: Carlos Alberto Silva [aut, cph, cre], Caio Hamamura [aut, cph]
Maintainer: Carlos Alberto Silva <c.silva@ufl.edu>

This is a re-admission after prior archival of version 0.1.11 dated 2021-01-20

Diff between rGEDI versions 0.1.11 dated 2021-01-20 and 0.6.0 dated 2026-11-10

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More information about rGEDI at CRAN
Permanent link

New package pcdreg with initial version 0.1.0
Package: pcdreg
Title: Semiparametric Regression for Panel Count Data
Version: 0.1.0
Description: Fits semiparametric regression models to panel count data, that is, to recurrent event processes observed only at intermittent examination times, allowing covariates to be time-varying. The proportional rate model is fitted by nonparametric maximum likelihood through an expectation-maximization algorithm under a working Poisson assumption, while inference does not require that assumption to hold; two computationally inexpensive covariance estimators are provided, a robust sandwich estimator that remains consistent when the Poisson assumption fails and an efficient information estimator that is a fast substitute for profile likelihood when it holds, with the profile likelihood estimator available for comparison. The proportional means model is fitted by the estimating equation of Hu, Sun and Wei (2003) <doi:10.1111/1467-9469.00316>. Methods for the rate model are described in Sun, Guo, Li, Tu and Sun (2024) <doi:10.3150/23-BEJ1713>.
License: GPL (>= 2)
Encoding: UTF-8
Language: en-GB
Depends: R (>= 4.1.0)
Imports: Rcpp, cli, generics, ggplot2, rlang, stats, tibble
LinkingTo: Rcpp, RcppArmadillo
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/dayusun/pcdreg, https://www.sundayu.me/pcdreg/
BugReports: https://github.com/dayusun/pcdreg/issues
NeedsCompilation: yes
Packaged: 2026-10-25 23:38:28 UTC; commi
Author: Dayu Sun [aut, cre] , Yuanyuan Guo [ctb] , Yang Li [ctb] , Wanzhu Tu [ctb] , Jianguo Sun [ctb]
Maintainer: Dayu Sun <dayusun@iu.edu>
Repository: CRAN
Date/Publication: 2026-11-10 15:30:02 UTC

More information about pcdreg at CRAN
Permanent link

New package lupa with initial version 0.1.0
Package: lupa
Title: Data Profiling and Quality Measurement
Version: 0.1.0
Description: Profiles tabular data and measures its quality. Discovers structural patterns, implicit types, mixed date formats and reusable findings about potential data issues; defines quality frameworks with user-declared dimensions, reusable metrics with explicit granularity and typed aggregation; keeps versioned histories and detects structural drift; writes self-contained HyperText Markup Language reports; and produces editable cleaning plans that apply only the actions the user selects, with an audit log. The general model follows Batini and Scannapieco (2016) <doi:10.1007/978-3-319-24106-7>. The package implements version 1.6 of the data quality management framework for digital government of the Uruguayan Agency for Electronic Government and Information and Knowledge Society, AGESIC (2020) <https://www.gub.uy/agencia-gobierno-electronico-sociedad-informacion-conocimiento/comunicacion/publicaciones/marco-trabajo-para-gestion-calidad-datos>; an optional taxonomy of the fifteen char [...truncated...]
License: GPL-3
Copyright: Parts of the encoding-repair engine are translated from ftfy 6.3.1, copyright 2023 Robyn Speer (Apache-2.0); the missing-value sentinels come from naniar 1.1.0, copyright 2016-2018 Nicholas Tierney (MIT). All other code is copyright 2026 Sebastián Lucas. See file inst/COPYRIGHTS.
URL: https://github.com/sebollin/lupa, https://sebollin.github.io/lupa/
BugReports: https://github.com/sebollin/lupa/issues
Encoding: UTF-8
Language: es
LazyData: true
Depends: R (>= 4.2.0)
Imports: cli (>= 3.0.0), data.table
Suggests: bit64 (>= 4.6.0), covr, DBI, duckdb, jsonlite, knitr, odbc, rmarkdown, RPostgres, RSQLite, sf, stringdist, stringi, testthat (>= 3.1.7), tibble, units
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-10-25 19:31:43 UTC; user
Author: Sebastian Lucas [aut, cre, cph] , Robyn Speer [ctb, cph] ), Nicholas Tierney [ctb, cph] )
Maintainer: Sebastian Lucas <sebalucas@gmail.com>
Repository: CRAN
Date/Publication: 2026-11-10 15:20:02 UTC

More information about lupa at CRAN
Permanent link

Package hmmTMB updated to version 2.0.0 with previous version 1.1.2 dated 2025-11-05

Title: Fit Hidden Markov Models using Template Model Builder
Description: Fitting hidden Markov models using automatic differentiation and Laplace approximation, allowing for fast inference and flexible covariate effects (including random effects and smoothing splines) on model parameters. The package is described by Michelot (2025) <doi:10.18637/jss.v114.i05>.
Author: Theo Michelot [aut, cre], Richard Glennie [aut], Jan-Ole Fischer [ctb] , Duncan Cameron-Steinke [ctb] , Pauline Rocu [ctb] , Litty Mathew [ctb]
Maintainer: Theo Michelot <theo.michelot@dal.ca>

Diff between hmmTMB versions 1.1.2 dated 2025-11-05 and 2.0.0 dated 2026-11-10

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Package giscoR updated to version 1.3.1 with previous version 1.3.0 dated 2026-10-01

Title: Download 'Eurostat' 'GISCO' Spatial Data
Description: Tools to download global and European spatial data from the 'Eurostat' 'GISCO' (Geographic Information System of the Commission) data distribution <https://ec.europa.eu/eurostat/web/gisco>. The package provides helpers for country boundaries, Nomenclature of Territorial Units for Statistics ('NUTS') regions, administrative units, statistical units, transport networks, basic service locations and other 'GISCO' datasets. This package is neither affiliated with nor endorsed by 'Eurostat'.
Author: Diego Hernangomez [aut, cre, cph] , Eurostat [cph] , EuroGeographics [cph]
Maintainer: Diego Hernangomez <diego.hernangomezherrero@gmail.com>

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New package amazonasdatahub with initial version 1.2.1
Package: amazonasdatahub
Title: Integrating Data, Research, and Education
Version: 1.2.1
Description: Various datasets from the state of Amazonas (AM), Brazil, to apply Deep Learning and statistical methods.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: TRUE
LazyDataCompression: xz
Depends: R (>= 3.5)
Imports: dplyr, ggplot2
Suggests: rmarkdown, forcats
URL: https://onelsoncarvalho.github.io/amazonasdatahub/
NeedsCompilation: no
Packaged: 2026-10-26 00:26:28 UTC; nelsonworkstation
Author: Nelson Carvalho [aut, cre], Leonardo Nascimento [aut]
Maintainer: Nelson Carvalho <nelsoncarvalho.negocios@gmail.com>
Repository: CRAN
Date/Publication: 2026-11-10 15:30:08 UTC

More information about amazonasdatahub at CRAN
Permanent link

Package ZIHINAR1 updated to version 0.3.0 with previous version 0.2.1 dated 2026-02-12

Title: Zero-Inflated and Hurdle INAR(1) Models
Description: Provides tools for estimating Zero-Inflated INAR(1) (ZI-INAR(1)) and Hurdle INAR(1) (H-INAR(1)) models using 'Stan'. It allows users to simulate time series data for these models, estimate parameters, and evaluate model fit using various criteria. Functions include model estimation, simulation, and likelihood-based metrics. The zero-inflated and hurdle INAR(1) methods are described by Yang et al. (2025) <doi:10.1214/25-BJPS646>. Zero-inflated models also support Conway-Maxwell-Poisson innovations.
Author: Fusheng Yang [aut, cre], Victor Hugo Lachos Davila [aut], Alokesh Manna [aut], Dipak K. Dey [aut]
Maintainer: Fusheng Yang <fusheng.yang@uconn.edu>

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Package z22 updated to version 1.2.0 with previous version 1.1.4 dated 2026-01-23

Title: Official Gridded Data from the German Census
Description: Provides fast and easy access to German census grid data from the 2011 and 2022 censuses <https://www.zensus2022.de/>, including a wide range of socio-economic indicators at multiple spatial resolutions (100m, 1km, 10km). Enables efficient download, processing, and analysis of large census datasets covering population, households, families, dwellings, and buildings. Harmonized data structures allow direct comparison with the 2011 census, supporting temporal and spatial analyses. Facilitates conversion of data into common formats for spatial analysis and mapping ('terra', 'sf', 'ggplot2').
Author: Jonas Lieth [cre, aut, cph]
Maintainer: Jonas Lieth <jslth@outlook.com>

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Package wikkitidy updated to version 0.2.0 with previous version 0.1.14 dated 2025-02-13

Title: Tidy Analysis of Wikipedia
Description: Access 'Wikipedia' through the several 'MediaWiki' APIs (<https://www.mediawiki.org/wiki/API>), as well as through the 'XTools' API (<https://www.mediawiki.org/wiki/XTools/API>). Ensure your API calls are correct, and receive results in tidy tibbles.
Author: Michael Falk [aut, cre, cph]
Maintainer: Michael Falk <michaelgfalk@gmail.com>

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Package oem updated to version 2.1.0 with previous version 2.0.12 dated 2024-07-31

Title: Orthogonalizing EM: Penalized Regression for Big Tall Data
Description: Solves penalized least squares problems for big tall data using the orthogonalizing EM algorithm of Xiong et al. (2016) <doi:10.1080/00401706.2015.1054436>. The main fitting function is oem() and the functions cv.oem() and xval.oem() are for cross validation, the latter being an accelerated cross validation function for linear models. The big.oem() function allows for out of memory fitting. A description of the underlying methods and code interface is described in Huling and Chien (2022) <doi:10.18637/jss.v104.i06>.
Author: Bin Dai [aut], Jared Huling [aut, cre] , Yixuan Qiu [ctb], Gael Guennebaud [cph], Jitse Niesen [cph]
Maintainer: Jared Huling <jaredhuling@gmail.com>

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Package vectorialcalculus updated to version 2.0.0 with previous version 1.0.5 dated 2026-01-19

Title: Numerical Tools for University Calculus
Description: Independent reconstruction of numerical tools for teaching university calculus. Provides finite difference derivative approximations with numerical sensitivity diagnostics and local linear models. Optional interactive graphics illustrate secants, tangents, differentials and numerical Taylor polynomials of orders one and two. Includes finite limit probes, critical-point and concavity analysis, and Newton iteration with explicit numerical diagnostics. Provides signed Riemann sums, partition refinement, fixed and adaptive quadrature with error diagnostics, and optional interactive illustrations of numerical integration. Evaluates accumulation functions and compares their numerical derivatives with integrands while retaining quadrature and sensitivity diagnostics. Computes geometric areas, graph lengths, revolution volumes and surface areas, with separate interactive region and solid illustrations. Approximates coordinate partials, gradients and line-restriction directional derivatives wit [...truncated...]
Author: Julio Lizarazo Osorio [aut], Julian Mauricio Fajardo [aut, cre]
Maintainer: Julian Mauricio Fajardo <julian.fajardo1908@gmail.com>

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Package easyRaschBayes updated to version 0.4.0 with previous version 0.3.0 dated 2026-06-18

Title: Bayesian Rasch Analysis Using 'brms'
Description: Reproduces classic Rasch psychometric analysis features using Bayesian item response theory models fitted with 'brms' following Bürkner (2021) <doi:10.18637/jss.v100.i05> and Bürkner (2020) <doi:10.3390/jintelligence8010005>. Supports dichotomous and polytomous Rasch models, and a hurdle partial credit model. Features include posterior predictive item fit, including infit and item-restscore associations conditional on the total score, person fit, differential item functioning, local dependence assessment via Q3 residual correlations, dimensionality assessment with residual principal components analysis, person-item targeting plots, item category probability curves, and reliability using relative measurement uncertainty following Bignardi et al. (2025) <doi:10.31234/osf.io/h54k8_v1>.
Author: Magnus Johansson [aut, cre] , Giacomo Bignardi [ctb] , Kristoffer Magnusson [ctb]
Maintainer: Magnus Johansson <pgmj@pm.me>

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Package StabilityApp updated to version 1.0.0 with previous version 0.1.0 dated 2024-11-01

Title: Interactive Stability Analysis of Multi-Environment Trials
Description: A 'shiny' application for the stability analysis of multi-environment trials of plant breeding with the package 'stability': analyses of variance, Eberhart and Russell's and Finlay and Wilkinson's regression, Wricke's, Shukla's, Kang's and Fox's statistics, Eskridge's safety-first indices, Annicchiarico's, Lin and Binns' and Huehn's statistics, AMMI analysis and stability values, and the GGE biplot. Every analysis comes with its tables, plots, the R code that repeats it and an interpretation specific to the method, computed from the results; an optional longer written interpretation can be requested from an external text service with the user's own key.
Author: Muhammad Yaseen [aut, cre, cph] , Kent Eskridge [aut, ctb]
Maintainer: Muhammad Yaseen <myaseen208@gmail.com>

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Package shinytest2 updated to version 0.6.0 with previous version 0.5.1 dated 2026-02-25

Title: Testing for Shiny Applications
Description: Automated unit testing of Shiny applications through a headless 'Chromium' browser.
Author: Barret Schloerke [cre, aut] , Posit Software, PBC [cph, fnd] , Winston Chang [ctb] , Gabor Csardi [ctb] , Hadley Wickham [ctb] , Mango Solutions [cph, ccp]
Maintainer: Barret Schloerke <barret@posit.co>

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Package SeuratExplorer updated to version 0.1.10 with previous version 0.1.8 dated 2026-09-01

Title: An 'Shiny' App for Exploring scRNA-seq Data Processed in 'Seurat'
Description: A simple, one-command package which runs an interactive dashboard capable of common visualizations for single cell RNA-seq. 'SeuratExplorer' requires a processed 'Seurat' object, which is saved as 'rds' or 'qs2' file.
Author: Yongchao Zhang [aut, cre]
Maintainer: Yongchao Zhang <zhangyongchao@nibs.ac.cn>

Diff between SeuratExplorer versions 0.1.8 dated 2026-09-01 and 0.1.10 dated 2026-11-10

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Package rtrim updated to version 2.4.0 with previous version 2.3.1 dated 2026-02-13

Title: Trends and Indices for Monitoring Data
Description: The TRIM model is widely used for estimating growth and decline of animal populations based on (possibly sparsely available) count data. The current package is a reimplementation of the original TRIM software developed at Statistics Netherlands by Jeroen Pannekoek. See <https://www.cbs.nl/en-gb/society/nature-and-environment/indices-and-trends%2d%2dtrim%2d%2d> for more information about TRIM.
Author: Patrick Bogaart [aut, cre] , Mark van der Loo [aut], Jeroen Pannekoek [aut], Statistics Netherlands [cph]
Maintainer: Patrick Bogaart <rtrim@cbs.nl>

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Permanent link

Package rSPDE updated to version 2.7.0 with previous version 2.6.0 dated 2026-08-31

Title: Rational Approximations of Fractional Stochastic Partial Differential Equations
Description: Functions that compute rational approximations of fractional elliptic stochastic partial differential equations. The package also contains functions for common statistical usage of these approximations. The main references for rSPDE are Bolin, Simas and Xiong (2023) <doi:10.1080/10618600.2023.2231051> for the covariance-based method and Bolin and Kirchner (2020) <doi:10.1080/10618600.2019.1665537> for the operator-based rational approximation. These can be generated by the citation function in R.
Author: David Bolin [cre, aut], Alexandre Simas [aut], Finn Lindgren [ctb]
Maintainer: David Bolin <davidbolin@gmail.com>

Diff between rSPDE versions 2.6.0 dated 2026-08-31 and 2.7.0 dated 2026-11-10

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More information about rSPDE at CRAN
Permanent link

Package rirods updated to version 0.3.1 with previous version 0.3.0 dated 2026-07-19

Title: R Client for 'iRODS'
Description: The open sourced data management software 'Integrated Rule-Oriented Data System' ('iRODS') offers solutions for the whole data life cycle (<https://irods.org/>). The loosely constructed and highly configurable architecture of 'iRODS' frees the user from strict formatting constraints and single-vendor solutions. This package provides an interface to the 'iRODS' HTTP API, allowing you to manage your data and metadata in 'iRODS' with R. Storage of annotated files and R objects in 'iRODS' ensures findability, accessibility, interoperability, and reusability of data.
Author: iRODS Consortium [cph], Martin Schobben [aut] , Mariana Montes [aut], Terrell Russell [cre], Christine Staiger [ctb], Ton Smeele [ctb], Alan King [ctb]
Maintainer: Terrell Russell <rirods@irods.org>

Diff between rirods versions 0.3.0 dated 2026-07-19 and 0.3.1 dated 2026-11-10

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

Title: Estimating Effective Migration Surfaces from Single Nucleotide Polymorphism Data
Description: Wrapper and plotting utilities for the spatial population genetics tool 'EEMS' (Estimated Effective Migration Surfaces) for SNP (Single Nucleotide Polymorphism) data, originally provided as a command-line tool written in 'C++' together with an accompanying 'R' package for plotting the output of the 'EEMS' tool itself (<https://github.com/dipetkov/eems/>). There are four main motivations for offering this to 'R' users as a package. Firstly, to remove the installation and configuration burden for the 'EEMS' command-line tool, which relies on manually installed 'Boost' and 'Eigen' system libraries and configuring their location; secondly, to streamline the workflow by having a singe environment (the 'R' system) for the entire analysis rather than a file-based command-line executable whose output files are then to be imported and analysed by a separate 'R' script; thirdly, to make the input formats compatible with other, 'R'-based spatial population genetics tools such as the 'ConStr [...truncated...]
Author: Felix Weitkaemper [aut, cre, cph] , Grace Zawadi [aut], Desislava Petkova [cph]
Maintainer: Felix Weitkaemper <felix.weitkaemper@german-uds.de>

Diff between reems versions 0.1.0 dated 2026-05-05 and 0.1.1 dated 2026-11-10

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Package readmit updated to version 1.1.0 with previous version 1.0.0 dated 2026-11-03

Title: Readmission Risk Pool Platform
Description: Provides the R implementation of the Readmission Risk Pool (RRP) analytical platform for reassessing the remaining probability of a first hospital readmission through 30 days after discharge. Distributed as the 'readmit' package, it creates user-owned projects, applies shared eligibility rules at explicit assessment times, retains completed assessments as history, and generates CSV analytical products for a project-owned interactive application. Project authors supply clinical source-mapping and risk-provider functions; no clinically validated prediction model is included.
Author: Alex Zajichek [aut, cre], CentralStatz Statistical & Data Sciences LLC [cph]
Maintainer: Alex Zajichek <alex@centralstatz.com>

Diff between readmit versions 1.0.0 dated 2026-11-03 and 1.1.0 dated 2026-11-10

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Package r2sbml updated to version 0.1.1 with previous version 0.1.0 dated 2026-11-03

Title: Read 'SBML' Models and Convert Them to Simulation Code
Description: Reads models in the Systems Biology Markup Language ('SBML') (Hucka et al. (2003) <doi:10.1093/bioinformatics/btg015>) through the bundled 'libSBML' library (Bornstein et al. (2008) <doi:10.1093/bioinformatics/btn051>). Lists a model's species, parameters, compartments, reactions, rules, events and function definitions, and converts the model into ready-to-run simulation code for 'deSolve', 'mrgsolve', 'rxode2', 'MATLAB', 'Julia' or 'ubiquity'. Models are read, not modified.
Author: Satyaprakash Nayak [aut, cre, cph], Sarah M. Keating [ctb] , Frank T. Bergmann [ctb] , Lucian P. Smith [ctb] , Brett G. Olivier [ctb] , Akiya Jouraku [ctb] , Michael Hucka [ctb] , Ben Bornstein [ctb] , Jeroen Ooms [ctb] , California Institute of Tech [...truncated...]
Maintainer: Satyaprakash Nayak <satyaprakash.nayak@gmail.com>

Diff between r2sbml versions 0.1.0 dated 2026-11-03 and 0.1.1 dated 2026-11-10

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Package qdfauction updated to version 0.3.0 with previous version 0.2.0 dated 2026-10-22

Title: Nonparametric Quantile Density Estimation and Structural Analysis of First-Price Auctions
Description: Nonparametric estimators of the quantile density function (the derivative of the quantile function): kernel, boundary-corrected kernel, Poisson-weight and Bernstein-polynomial smoothers, indirect estimators (Jones (1992) <https://www.ism.ac.jp/editsec/aism/pdf/044_4_0721.pdf>; Soni, Dewan and Jain (2012) <doi:10.1016/j.csda.2012.04.014>; Chaubey, Dewan and Li (2024) <doi:10.1080/03610926.2023.2222922>), and linear, hard-thresholded and block-thresholded wavelet estimators (Chesneau, Dewan and Doosti (2016) <doi:10.1016/j.csda.2015.08.006>; Shirazi and Doosti (2022) <doi:10.1080/03610918.2019.1656250>), with smoothing parameters chosen by biased, robust likelihood (Wu (2019) <doi:10.1080/07350015.2018.1424633>) or least-squares cross-validation. The estimators are applied to the structural analysis of first-price sealed-bid auctions: recovery of private values for independent or affiliated values and risk-neutral or risk-averse bidders (Doosti, Dewan [...truncated...]
Author: Hassan Doosti [aut, cre, cph] , Yogendra P. Chaubey [ctb, cph] , Isha Dewan [ctb, cph] , Jun Li [ctb, cph] , Brent R. Hickman [ctb, cph] ), Timothy P. Hubbard [ctb, cph] ), Brani Vidakovic [ctb, cph] , phi_jk, dwt_periodic, idwt_periodic and loclin_s [...truncated...]
Maintainer: Hassan Doosti <Hassan.doosti@mq.edu.au>

Diff between qdfauction versions 0.2.0 dated 2026-10-22 and 0.3.0 dated 2026-11-10

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Package postvocs updated to version 0.2.6 with previous version 0.2.5 dated 2026-09-12

Title: Post-Processing Tools for GC-MS Volatile Organic Compound Data
Description: Provides functions for processing Shimadzu gas chromatography-mass spectrometry (GC-MS) exported text files, extracting Chemical Abstracts Service (CAS) numbers and peak areas, building abundance matrices, annotating compounds, and screening based on occurrence frequency. The package is designed for organizing, identifying, and screening volatile compounds in metabolomics and environmental studies.
Author: Xiaotao Han [aut, cre]
Maintainer: Xiaotao Han <postvocs.r@gmail.com>

Diff between postvocs versions 0.2.5 dated 2026-09-12 and 0.2.6 dated 2026-11-10

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More information about postvocs at CRAN
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Package polyglotSQL updated to version 0.1.3 with previous version 0.1.2 dated 2026-10-08

Title: SQL Parsing, Analysis and Dialect Translation
Description: Parse, tokenize, validate, format, analyze and translate SQL between more than 30 dialects ('PostgreSQL', 'MySQL', 'BigQuery', 'Snowflake', 'DuckDB', 'T-SQL', and others) using the 'polyglot-sql' Rust crate <https://github.com/tobilg/polyglot>, a Rust port of the 'SQLGlot' 'Python' library. All processing happens locally in the R session; no database connection, 'Python' runtime or external service is required. Includes column-level lineage, structural query analysis, query optimization, 'AST' diffing and 'OpenLineage' facet generation.
Author: Andre Leite [aut, cre] , Marcos Wasiliew [aut] , Hugo Vasconcelos [aut] , Carlos Amorim [aut] , Diogo Bezerra [aut] , Julia Nascimento Barreto [aut] , Tobias Mueller [cph] ), Toby Mao [cph] , The authors of the vendored Rust dependencies [cph]
Maintainer: Andre Leite <leite@castlab.org>

Diff between polyglotSQL versions 0.1.2 dated 2026-10-08 and 0.1.3 dated 2026-11-10

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Package pollimetry updated to version 1.1.1-1 with previous version 1.1.1 dated 2026-11-03

Title: Estimate Pollinator Body Size and Co-Varying Ecological Traits
Description: Tools to estimate pollinator body size and co-varying traits. This package contains Bayesian predictive models of pollinator body size (for bees and hoverflies) and bee foraging range, as well as preexisting predictive models for pollinator body size (currently implemented for ants, bees, butterflies, flies, moths and wasps), bee tongue length, foraging range, total field nectar loads and wing loading. An additional GitHub repository <https://github.com/liamkendall/pollimetrydata> provides model objects to use the bodysize and foraging.range functions internally. The Bayesian models are described in Kendall et al. (2019) <doi:10.1002/ece3.4835> & Kendall et al. (2022) <doi:10.1002/ecy.3809>.
Author: Liam Kendall [aut, cre], Ignasi Bartomeus [aut]
Maintainer: Liam Kendall <liam.k.kendall@gmail.com>

Diff between pollimetry versions 1.1.1 dated 2026-11-03 and 1.1.1-1 dated 2026-11-10

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Package ieugwasr updated to version 1.2.1 with previous version 1.2.0 dated 2026-10-07

Title: Interface to the 'OpenGWAS' Database API
Description: Interface to the 'OpenGWAS' database API <https://api.opengwas.io/api/>. Includes a wrapper to make generic calls to the API, plus convenience functions for specific queries.
Author: Gibran Hemani [aut, cph] , Ben Elsworth [aut] , Tom Palmer [aut, cre] , Rita Rasteiro [aut]
Maintainer: Tom Palmer <remlapmot@hotmail.com>

Diff between ieugwasr versions 1.2.0 dated 2026-10-07 and 1.2.1 dated 2026-11-10

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Package hdar updated to version 1.0.9 with previous version 1.0.7 dated 2025-06-17

Title: 'REST' API Client for Accessing Data on 'WEkEO HDA V2'
Description: Provides seamless access to the WEkEO Harmonised Data Access (HDA) API, enabling users to query, download, and process data efficiently from the HDA platform. With 'hdar', researchers and data scientists can integrate the extensive HDA datasets into their R workflows, enhancing their data analysis capabilities. Comprehensive information on the API functionality and usage is available at <https://gateway.prod.wekeo2.eu/hda-broker/docs>.
Author: Matteo Mattiuzzi [aut, cre]
Maintainer: Matteo Mattiuzzi <matteo.mattiuzzi@eea.europa.eu>

Diff between hdar versions 1.0.7 dated 2025-06-17 and 1.0.9 dated 2026-11-10

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Package funcharts updated to version 1.8.2 with previous version 1.8.1 dated 2026-01-18

Title: Functional Control Charts
Description: Provides functional control charts for statistical process monitoring of functional data, using the methods of Capezza et al. (2020) <doi:10.1002/asmb.2507>, Centofanti et al. (2021) <doi:10.1080/00401706.2020.1753581>, Capezza et al. (2024) <doi:10.1080/00224065.2024.2383674>, Capezza et al. (2024) <doi:10.1080/00401706.2024.2327346>, Centofanti et al. (2025) <doi:10.1080/00224065.2024.2430978>, Capezza et al. (2025) <doi:10.48550/arXiv.2410.20138>. The package is thoroughly illustrated in the paper of Capezza et al (2023) <doi:10.1080/00224065.2023.2219012>.
Author: Christian Capezza [cre, aut], Fabio Centofanti [aut], Davide Forcina [aut], Antonio Lepore [aut], Biagio Palumbo [aut], Alessandra Menafoglio [ctb], Simone Vantini [ctb]
Maintainer: Christian Capezza <christian.capezza@unina.it>

Diff between funcharts versions 1.8.1 dated 2026-01-18 and 1.8.2 dated 2026-11-10

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Package fastymd updated to version 0.2.0 with previous version 0.1.5 dated 2026-02-27

Title: Fast Utilities for Year Month Day Objects
Description: A collection of utility functions for working with Year Month Day objects. Includes functions for fast parsing of numeric and character input based on algorithms described in Hinnant, H. (2021) <https://howardhinnant.github.io/date_algorithms.html> as well as a branchless calculation of leap years by Jerichaux (2025) <https://stackoverflow.com/a/79564914>.
Author: Tim Taylor [aut, cre] , Howard Hinnant [aut] , jerichaux [aut]
Maintainer: Tim Taylor <tim.taylor@hiddenelephants.co.uk>

Diff between fastymd versions 0.1.5 dated 2026-02-27 and 0.2.0 dated 2026-11-10

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Package fastQR updated to version 1.1.5 with previous version 1.1.4 dated 2026-02-13

Title: Fast QR Decomposition and Update
Description: Efficient algorithms for performing, updating, and removing rows or columns from the QR decomposition, R decomposition, or the inverse of the R decomposition of a matrix as rows or columns are added or removed. It also includes functions for solving linear systems of equations, normal equations for linear regression models, and normal equations for linear regression with a RIDGE penalty. For a detailed introduction to these methods, the monograph Matrix Computations (2013, <doi:10.1007/978-3-319-05089-8>) for complete introduction to the methods.
Author: Mauro Bernardi [aut, cre], Claudio Busatto [aut], Manuela Cattelan [aut]
Maintainer: Mauro Bernardi <mauro.bernardi@unipd.it>

Diff between fastQR versions 1.1.4 dated 2026-02-13 and 1.1.5 dated 2026-11-10

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Package ellmer updated to version 0.5.2 with previous version 0.5.1 dated 2026-11-08

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>

Diff between ellmer versions 0.5.1 dated 2026-11-08 and 0.5.2 dated 2026-11-10

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Package diffobj updated to version 0.3.10 with previous version 0.3.9 dated 2026-09-11

Title: Diffs for R Objects
Description: Generate a colorized diff of two R objects for an intuitive visualization of their differences.
Author: Brodie Gaslam [aut, cre], Michael B. Allen [ctb, cph]
Maintainer: Brodie Gaslam <brodie.gaslam@yahoo.com>

Diff between diffobj versions 0.3.9 dated 2026-09-11 and 0.3.10 dated 2026-11-10

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Package dcorBSS updated to version 1.0-1 with previous version 1.0-0 dated 2026-06-10

Title: Distance-Correlation Based Methods for Blind Source Separation and Dependence Analysis
Description: Independent component analysis based on distance correlation, including a robust variant using the bowl transformation. The package provides user-facing implementations of distance covariance and distance correlation, including memory-efficient blockwise computations for large data sets. It includes a sequential ICA estimator based on minimizing distance correlation, as well as tools for analyzing serial dependence via distance autocorrelation, dependograms, and permutation-based tests. In addition, it provides functions for testing serial dependence based on distance correlation and the Hilbert–Schmidt independence criterion. The methodology is related to Matteson and Tsay (2017) <doi:10.1080/01621459.2016.1150851> and to the robust framework of Leyder et al. (2026) <doi:10.1007/s11634-026-00674-9>.
Author: Sarah Leyder [aut] , Klaus Nordhausen [aut, cre]
Maintainer: Klaus Nordhausen <klausnordhausenR@gmail.com>

Diff between dcorBSS versions 1.0-0 dated 2026-06-10 and 1.0-1 dated 2026-11-10

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Package cppRouting updated to version 4.0 with previous version 3.2 dated 2025-11-28

Title: Algorithms for Routing and Solving the Traffic Assignment Problem
Description: Calculation of distances, shortest paths and isochrones on weighted graphs using several variants of Dijkstra algorithm. Proposed algorithms are unidirectional Dijkstra (Dijkstra, E. W. (1959) <doi:10.1007/BF01386390>), bidirectional Dijkstra (Goldberg, Andrew & Fonseca F. Werneck, Renato (2005) <https://www.cs.princeton.edu/courses/archive/spr06/cos423/Handouts/EPP%20shortest%20path%20algorithms.pdf>), A* search (P. E. Hart, N. J. Nilsson et B. Raphael (1968) <doi:10.1109/TSSC.1968.300136>), new bidirectional A* (Pijls & Post (2009) <https://repub.eur.nl/pub/16100/ei2009-10.pdf>), Contraction hierarchies (R. Geisberger, P. Sanders, D. Schultes and D. Delling (2008) <doi:10.1007/978-3-540-68552-4_24>), PHAST (D. Delling, A.Goldberg, A. Nowatzyk, R. Werneck (2011) <doi:10.1016/j.jpdc.2012.02.007>). Algorithms for solving the traffic assignment problem are All-or-Nothing assignment, Method of Successive Averages, Frank-Wolfe algorithm (M. Fukus [...truncated...]
Author: Vincent Larmet [aut, cre]
Maintainer: Vincent Larmet <larmet.vincent@gmail.com>

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Package cffr updated to version 1.4.3 with previous version 1.4.2 dated 2026-08-24

Title: Generate Citation File Format ('CFF') Metadata
Description: Citation File Format ('CFF') version 1.2.0 <doi:10.5281/zenodo.5171937> is a human- and machine-readable file format for software citation metadata. Core utilities generate, read, write and validate Citation File Format metadata for 'R' packages.
Author: Diego Hernangomez [aut, cre, cph] , Joao Martins [rev] , Scott Chamberlain [rev]
Maintainer: Diego Hernangomez <diego.hernangomezherrero@gmail.com>

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Package baystability updated to version 1.0.0 with previous version 0.2.0 dated 2024-10-15

Title: Bayesian Stability Analysis of Genotype by Environment Interaction (GEI)
Description: Performs the general Bayesian estimation method of linear-bilinear models for genotype x environment interaction of Perez-Elizalde, Jarquin and Crossa (2012) <doi:10.1007/s13253-011-0063-9>: the additive main effects and multiplicative interaction (AMMI) model and the sites regression (SREG, GGE) model, with the data of an earlier trial as the prior (conjugate normal and von Mises-Fisher priors weighted by its replicates) or with vague priors; a compiled Gibbs sampler; posterior summaries with highest posterior density intervals; convergence diagnostics; biplots with highest posterior density regions; DIC and WAIC; a plain-language interpretation of every result; and a built-in 'shiny' application. For Bayesian stability analysis in general (regression and variance models, stability indices, probabilities of superior performance), see the package 'bayesstability'.
Author: Muhammad Yaseen [aut, cre] , Diego Jarquin [aut, ctb], Sergio Perez-Elizalde [aut, ctb], Juan Burgueno [aut, ctb], Jose Crossa [aut, ctb]
Maintainer: Muhammad Yaseen <myaseen208@gmail.com>

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Permanent link

Package bayesammi updated to version 1.0.0 with previous version 0.3.0 dated 2024-11-22

Title: Bayesian Estimation of the Additive Main Effects and Multiplicative Interaction Model
Description: Bayesian estimation of the additive main effects and multiplicative interaction (AMMI) model of multi-environment trials by the Gibbs sampler of Crossa, Perez-Elizalde, Jarquin, Cotes, Viele, Liu and Cornelius (2011) <doi:10.2135/cropsci2010.06.0343>: posterior distributions of the overall mean, genotype and environment effects, singular values, genotype and environment scores (von Mises-Fisher conditionals on the constrained spheres) and error variance; several chains with burn-in and thinning; posterior summaries with highest posterior density intervals; the convergence diagnostics of Raftery-Lewis, Heidelberger-Welch and Gelman-Rubin; the AMMI biplot with highest posterior density regions for inference on genotypes and environments; least-squares AMMI; and a plain-language interpretation of every result, computed from its numbers. Beyond the article: unbalanced trials with missing plots and cells (data augmentation), environment-specific error variances, the Bayesian GGE (site [...truncated...]
Author: Muhammad Yaseen [aut, cre] , Jose Crossa [aut, ctb], Sergio Perez-Elizalde [aut, ctb], Diego Jarquin [aut, ctb], Jose Miguel Cotes [aut, ctb], Kert Viele [aut, ctb], Genzhou Liu [aut, ctb], Paul L. Cornelius [aut, ctb], Julian Garcia Abadillo Velasco [...truncated...]
Maintainer: Muhammad Yaseen <myaseen208@gmail.com>

Diff between bayesammi versions 0.3.0 dated 2024-11-22 and 1.0.0 dated 2026-11-10

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Package svyLocAdj updated to version 1.0.2 with previous version 1.0.1 dated 2026-09-28

Title: Modelling Survey Data (E.g., DHS) with Adjustment for Location Perturbations
Description: Bayesian spatial models for survey data, such as Demographic and Health Survey (DHS), with spatial cluster location displacement adjustments. The package implements models for (1) continuous, (2) binary, (3) count and (4) spatially varying models for continuous outcomes. For more details see Bakar et al. (2026) <doi:10.1093/jrsssa/qnag068>.
Author: K. Shuvo Bakar [aut, cre] , Jahidur Rahman Khan [ctb] , Bernard Baffour [ctb]
Maintainer: K. Shuvo Bakar <shuvo.bakar@gmail.com>

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Permanent link

Package saber updated to version 0.8.0 with previous version 0.7.2 dated 2026-06-25

Title: Context Engineering for Large Language Model Agents
Description: Context-engineering primitives for Artificial Intelligence (AI) coding agents working in R. Assembles agent context from memory and instruction files ('AGENTS.md', 'CLAUDE.md'), traces function call blast radius across projects, generates project briefings, parses source into Abstract Syntax Tree (AST) symbol indices, discovers dependency graphs, and introspects installed packages. Zero dependencies.
Author: Troy Hernandez [aut, cre] , cornball.ai [cph]
Maintainer: Troy Hernandez <troy@cornball.ai>

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Package propagate updated to version 1.3-0 with previous version 1.2-0 dated 2026-07-27

Title: Propagation of Uncertainty
Description: Propagation of uncertainty using higher-order Taylor expansion and Monte Carlo simulation. Calculations of propagated uncertainties are based on matrix calculus including covariance structure according to Arras 1998 <doi:10.3929/ethz-a-010113668> (first order), Wang & Iyer 2005 <doi:10.1088/0026-1394/42/5/011> (second order) and the Monte Carlo method of GUM Supplement 1 (2008) <doi:10.59161/JCGM101-2008>.
Author: Andrej-Nikolai Spiess [aut, cre]
Maintainer: Andrej-Nikolai Spiess <draspiess@gmail.com>

Diff between propagate versions 1.2-0 dated 2026-07-27 and 1.3-0 dated 2026-11-10

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Package mx.crypto updated to version 0.3.0 with previous version 0.2.2 dated 2026-09-11

Title: Matrix End-to-End Encryption Primitives
Description: 'Olm' and 'Megolm' encryption ratchet primitives for the 'Matrix' messaging protocol <https://matrix.org/>, wrapping the 'vodozemac' Rust crate. Provides device-key generation, one-time-key management, 1:1 'Olm' sessions, and 'Megolm' group sessions. Pairs with the 'mx.api' package, which handles 'Matrix' HTTP transport.
Author: Troy Hernandez [aut, cre] , cornball.ai [cph], The Matrix.org Foundation C.I.C. [ctb, cph] , Authors of the dependency Rust crates [ctb]
Maintainer: Troy Hernandez <troy@cornball.ai>

Diff between mx.crypto versions 0.2.2 dated 2026-09-11 and 0.3.0 dated 2026-11-10

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Package mx.api updated to version 0.4.0 with previous version 0.3.1 dated 2026-09-10

Title: Minimal Matrix Client-Server API
Description: A minimal-dependency client for the 'Matrix' Client-Server HTTP API <https://spec.matrix.org/>, suitable for talking to a 'Synapse' <https://element-hq.github.io/synapse/> or 'Conduit' <https://conduit.rs/> homeserver. Covers login, room management, message send and history, media upload or download, and the transport endpoints needed to coordinate end-to-end encryption (device-key and one-time-key publication, key query and claim, to-device events). Encryption itself is out of scope; pair with a separate crypto package.
Author: Troy Hernandez [aut, cre] , cornball.ai [cph]
Maintainer: Troy Hernandez <troy@cornball.ai>

Diff between mx.api versions 0.3.1 dated 2026-09-10 and 0.4.0 dated 2026-11-10

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Package fqardl updated to version 1.1.1 with previous version 1.1.0 dated 2026-10-10

Title: Fourier ARDL Methods: Quantile, Nonlinear, Multi-Threshold & Unit Root Tests
Description: Implementation of ARDL methods for cointegration analysis with structural breaks and asymmetric effects. Includes: (1) Fourier Quantile ARDL (FQARDL), quantile regression with Fourier approximation following the quantile ARDL of Cho, Kim and Shin (2015) <doi:10.1016/j.jeconom.2015.05.003>; (2) Fourier Nonlinear ARDL (FNARDL), asymmetric cointegration with partial sum decomposition following Shin, Yu and Greenwood-Nimmo (2014) <doi:10.1007/978-1-4899-8008-3_9>; (3) a deprecated Multi-Threshold NARDL (MTNARDL) function; (4) Fourier unit root tests, ADF and KPSS tests with Fourier terms following Enders and Lee (2012) <doi:10.1016/j.econlet.2012.04.081> and Becker, Enders and Lee (2006) <doi:10.1111/j.1467-9892.2006.00478.x>. Features automatic lag and frequency selection, Wald bounds statistics with the tables of Pesaran, Shin and Smith (2001) <doi:10.1002/jae.616> (no verdict with Fourier terms, for which the tables are not valid), recursive bootstrap bound [...truncated...]
Author: Muhammad Alkhalaf [aut, cre, cph]
Maintainer: Muhammad Alkhalaf <muhammedalkhalaf@gmail.com>

Diff between fqardl versions 1.1.0 dated 2026-10-10 and 1.1.1 dated 2026-11-10

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Mon, 09 Nov 2026

Package nebula updated to version 1.5.9 with previous version 1.5.8 dated 2026-07-12

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>

Diff between nebula versions 1.5.8 dated 2026-07-12 and 1.5.9 dated 2026-11-09

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Package VertexWiseR updated to version 1.6.0 with previous version 1.5.5 dated 2026-10-16

Title: Simplified Vertex-Wise Analyses of Whole-Brain and Subcortical Surface
Description: Provides functions to run statistical analyses on surface-based neuroimaging data, computing measures including cortical thickness and surface area of the whole-brain and of the hippocampi. It can make use of 'FreeSurfer', 'fMRIprep', 'XCP-D', 'HCP' and 'CAT12' preprocessed datasets, 'HippUnfold' hippocampal outputs and 'SubCortexMesh' subcortical outputs for a given sample by restructuring the data values into a single file. The single file can then be used by the package for analyses independently from its base dataset and without need for its access.
Author: Junhong Yu [aut] , Charly Billaud [aut, cre]
Maintainer: Charly Billaud <charly.billaud@ntu.edu.sg>

Diff between VertexWiseR versions 1.5.5 dated 2026-10-16 and 1.6.0 dated 2026-11-09

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Package nparLD updated to version 2.3.4 with previous version 2.3.3 dated 2026-10-14

Title: Nonparametric Analysis of Longitudinal Data in Factorial Experiments
Description: Provides nonparametric procedures for the analysis of longitudinal data in factorial experiments. The package implements hypothesis tests on marginal distribution functions and unweighted relative marginal effects. It supports arbitrary crossed factorial designs with longitudinal or repeated-measures factors, missing observations, dependent replicates, rank- and pseudo-rank-based inference, Wald-type and ANOVA-type statistics, multiple contrast tests, and simultaneous confidence intervals.
Author: Frank Konietschke [aut, cre], Kimihiro Noguchi [ctb] , Mahbub Latif [ctb] , Karthinathan Thangavelu [ctb] , Yulia R. Gel [ctb] , Marek Sztuka [ctb] , Edgar Brunner [ctb]
Maintainer: Frank Konietschke <frank.konietschke@charite.de>

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Package mapnhanespa updated to version 0.4.0 with previous version 0.3.0 dated 2026-10-22

Title: Map Quantiles for Physical Activity from 'NHANES'
Description: Maps physical activity from the National Health and Nutrition Examination Survey ('NHANES') study into population-based quantiles, using the NHANES 2011-2014 step count and physical activity summaries described in Koffman, Crainiceanu, and Muschelli (2025) <doi:10.1249/MSS.0000000000003616>, with minute-level data from Koffman and Muschelli (2025) <doi:10.13026/9n0r-tv02>.
Author: John Muschelli [aut, cre] , Lily Koffman [aut]
Maintainer: John Muschelli <muschellij2@gmail.com>

Diff between mapnhanespa versions 0.3.0 dated 2026-10-22 and 0.4.0 dated 2026-11-09

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Package froggeR updated to version 1.1.0 with previous version 1.0.1 dated 2026-03-17

Title: Project Scaffolding for R and 'Quarto'
Description: Creates structured R and 'Quarto' projects with a consistent directory layout: scripts in R/, analysis documents in analysis/, and web assets in www/. The primary entry point, init(), downloads the latest template from a companion 'GitHub' repository so that project structure evolves independently of package releases. Supports persistent author metadata and 'Quarto' brand configuration that carry across projects automatically.
Author: Kyle Grealis [aut, cre]
Maintainer: Kyle Grealis <kyleGrealis@proton.me>

Diff between froggeR versions 1.0.1 dated 2026-03-17 and 1.1.0 dated 2026-11-09

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Package zentraR updated to version 0.1.4 with previous version 0.1.3 dated 2026-08-07

Title: R Client for the ZENTRA Cloud V5 API
Description: Downloads environmental sensor data from the ZENTRA Cloud V5 API (<https://api.zentracloud.io>) into tidy data frames. Provides device discovery, reading retrieval with automatic pagination and rate-limit handling, tidy long output with a wide-format helper, and an incremental 'sync' engine with pluggable local storage (RDS files, CSV files, or return-only) so that new readings can be fetched on a schedule and appended to a growing local record.
Author: Travis Bates [aut, cre], METER Group, Inc. [cph, fnd]
Maintainer: Travis Bates <travis@metergroup.com>

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Package sociome updated to version 3.1.1 with previous version 3.0.1 dated 2026-06-03

Title: Operationalizing Social Determinants of Health Data for Researchers
Description: Accesses raw data via API and calculates social determinants of health measures for user-specified locations in the US, returning them in tidyverse- and sf-compatible data frames.
Author: Nik Krieger [aut, cre], Jarrod Dalton [aut], Cindy Wang [aut], Adam Perzynski [aut], National Institutes of Health/National Institute on Aging [fnd] . All of its contents are solely the responsibility of the authors and do not necessarily represent t [...truncated...]
Maintainer: Nik Krieger <nikkrieger@gmail.com>

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Package relm updated to version 0.6.3 with previous version 0.6.2 dated 2026-11-02

Title: Local Large Language Models as Base-R Objects
Description: Load and run local large language models (through a vendored, patched 'llama.cpp') from R and work with them as plain data frames and matrices in base-R idiom. Provides model loading and tokenization (llm(), llm_tokens()), text generation (llm_generate()), next-token distributions (llm_logits()), embeddings (llm_embed()), and mechanistic interpretability tools -- activation tracing (llm_trace()), activation steering (llm_steer()), neuron ablation (llm_ablate()), and grouped statistical probes (llm_probe()). Vision-language models loaded with their projector take image input in generation and embeddings. A checksum-verified downloader (llm_download()) fetches pinned models.
Author: Alessandro Vadala [aut, cre, cph], ggml authors [ctb, cph] ), Authors of the bundled Rust and native dependencies [ctb, cph]
Maintainer: Alessandro Vadala <vadale93@gmail.com>

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Package ravecore updated to version 1.0.0 with previous version 0.1.1 dated 2026-04-02

Title: Core File Structures and Workflows for 'RAVE'
Description: Defines storage standard for Read, process, and analyze intracranial electroencephalography and deep-brain stimulation in 'RAVE', a reproducible framework for analysis and visualization of iEEG by Magnotti, Wang, and Beauchamp, (2020, <doi:10.1016/j.neuroimage.2020.117341>). Supports brain imaging data structure (BIDS) <https://bids.neuroimaging.io> and native file structure to ingest signals from 'Matlab' data files, hierarchical data format 5 (HDF5), European data format (EDF), BrainVision core data format (BVCDF), or BlackRock Microsystem (NEV/NSx); process images in Neuroimaging informatics technology initiative (NIfTI) and 'FreeSurfer' formats, providing brain imaging normalization to template brain, facilitating 'threeBrain' package for comprehensive electrode localization via 'YAEL' (your advanced electrode localizer) by Wang, Magnotti, Zhang, and Beauchamp (2023, <doi:10.1523/ENEURO.0328-23.2023>).
Author: Zhengjia Wang [aut, cre] , Xiang Zhang [aut], John Magnotti [aut], Michael Beauchamp [aut], Trustees of the University of Pennsylvania [cph]
Maintainer: Zhengjia Wang <dipterix.wang@gmail.com>

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Package mop updated to version 0.1.5 with previous version 0.1.4 dated 2026-04-22

Title: Mobility Oriented-Parity Metric
Description: A set of tools to perform multiple versions of the Mobility Oriented-Parity metric. This multivariate analysis helps to characterize levels of dissimilarity between a set of conditions of reference and another set of conditions of interest. If predictive models are transferred to conditions different from those over which models were calibrated (trained), this metric helps to identify transfer conditions that differ substantially from those of calibration. These tools are implemented following principles proposed in Owens et al. (2013) <doi:10.1016/j.ecolmodel.2013.04.011>, and expanded to obtain more detailed results that aid in interpretation as in Cobos et al. (2024) <doi:10.21425/fob.17.132916>.
Author: Marlon E. Cobos [aut, cre] , Hannah L. Owens [aut] , Jorge Soberon [aut] , A. Townsend Peterson [aut]
Maintainer: Marlon E. Cobos <manubio13@gmail.com>

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Package missknn updated to version 1.2.0 with previous version 1.1.2 dated 2026-08-21

Title: Fast Masked K-Nearest Neighbor Imputation
Description: Fast masked k-nearest neighbor imputation for mixed-type tabular data. Distances are computed only on the variables jointly observed by the receiver and the donor, and missing values are filled by local regression (numeric) or weighted vote (categorical) over the nearest donors. Returns completed data for single imputation or a list of completed data sets for multiple imputation.
Author: Imad El Badisy [aut, cre]
Maintainer: Imad El Badisy <elbadisyimad@gmail.com>

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Package forestBalance updated to version 0.1.1 with previous version 0.1.0 dated 2026-04-07

Title: Balancing Confounder Distributions with Forest Energy Balancing
Description: Estimates average treatment effects using kernel energy balancing with random forest similarity kernels. A multivariate random forest jointly models covariates, outcome, and treatment to build a similarity kernel between observations. This kernel is then used for energy balancing to create weights that control for confounding. The method is described in De and Huling (2025) <doi:10.48550/arXiv.2512.18069>.
Author: Jared Huling [aut, cre], Simion De [aut]
Maintainer: Jared Huling <jaredhuling@gmail.com>

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Package sobolnp updated to version 0.2.0 with previous version 0.1.0 dated 2019-04-29

Title: Nonparametric Sobol Estimator with Bootstrap Bandwidth
Description: Algorithm to estimate the Sobol indices using a non-parametric fit of the regression curve. The bandwidth is estimated using bootstrap to reduce the finite-sample bias. The package is based on the paper Solís, M. (2021) <doi:10.1080/03610918.2019.1655575>.
Author: Maikol Solis [aut, cre]
Maintainer: Maikol Solis <maikol.solis@ucr.ac.cr>

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Package r4lineups updated to version 2.3.1 with previous version 2.3.0 dated 2026-11-02

Title: Statistical Inference on Lineup Fairness
Description: Computes statistical measures for laboratory and police lineups in forensic psychology, including lineup bias, functional and effective size, diagnosticity, confidence-accuracy curves, signal detection models, and simulation tools. Optional face-similarity functions use numeric face representations computed by Python's 'deepface' library; optional lineup-memory model fitting uses a separately installed, pinned 'pyWitness' engine.
Author: Colin Tredoux [aut, cre] , Tamsyn Naylor [aut]
Maintainer: Colin Tredoux <colin.tredoux@uct.ac.za>

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Package ASML updated to version 1.1.1 with previous version 1.1.0 dated 2025-09-29

Title: Algorithm Portfolio Selection with Machine Learning
Description: A wrapper for machine learning (ML) methods to select among a portfolio of algorithms based on the value of a key performance indicator (KPI). A number of features is used to adjust a model to predict the value of the KPI for each algorithm, then, for a new value of the features the KPI is estimated and the algorithm with the best one is chosen. To learn it can use the regression methods in 'caret' package or a custom function defined by the user. Several graphics available to analyze the results obtained. This library has been used in Ghaddar et al. (2023) <doi:10.1287/ijoc.2022.0090>).
Author: Brais Gonzalez-Rodriguez [aut, cre] , Ignacio Gomez-Casares [aut] , Beatriz Pateiro-Lopez [aut] , Julio Gonzalez-Diaz [aut] , Maria Caseiro-Arias [ctb], Antonio Farina-Elorza [ctb], Manuel Timiraos-Lopez [ctb], MICIU/AEI/10.13039/501100011033 [fnd]
Maintainer: Brais Gonzalez-Rodriguez <brais.gonzalez.rodriguez@uvigo.gal>

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Package nadaverse updated to version 0.2.0 with previous version 0.1.0 dated 2025-12-11

Title: Browse Microdata Catalogs Using 'NADA' REST API
Description: Provides a unified, programmatic interface for searching, browsing, and retrieving metadata from data repositories that use the National Data Archive ('NADA') software, such as the World Bank, 'FAO', the International Household Survey Network ('IHSN'), 'UNHCR', the World Health Organization, and the statistics offices of Kenya and Zambia. Functions discover available data collections, country codes, and access types, search by keyword, country, and year, and retrieve study metadata, file lists, and variable-level data dictionaries.
Author: Gutama Girja Urago [aut, cre, cph]
Maintainer: Gutama Girja Urago <girjagutama@gmail.com>

Diff between nadaverse versions 0.1.0 dated 2025-12-11 and 0.2.0 dated 2026-11-09

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Package LaMa updated to version 3.1.0 with previous version 3.0.0 dated 2026-10-28

Title: Fast Numerical Maximum Likelihood Estimation for Latent Markov Models
Description: A variety of latent Markov models, including hidden Markov models, hidden semi-Markov models, state-space models and continuous-time variants can be formulated and estimated within the same framework via directly maximising the likelihood function using the so-called forward algorithm. Applied researchers often need custom models that standard software does not easily support. Writing tailored 'R' code offers flexibility but suffers from slow estimation speeds. We address these issues by providing easy-to-use functions (written in 'C++' for speed) for common tasks like the forward algorithm. These functions can be combined into custom models in a Lego-type approach, offering up to 10-20 times faster estimation via standard numerical optimisers. To aid in building fully custom likelihood functions, several vignettes are included that show how to simulate data from and estimate all the above model classes.
Author: Jan-Ole Fischer [aut, cre]
Maintainer: Jan-Ole Fischer <jan-ole.fischer@mailbox.org>

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Package GGally updated to version 2.5.0 with previous version 2.4.0 dated 2025-08-23

Title: Extension to 'ggplot2'
Description: The R package 'ggplot2' is a plotting system based on the grammar of graphics. 'GGally' extends 'ggplot2' by adding several functions to reduce the complexity of combining geometric objects with transformed data. Some of these functions include a pairwise plot matrix, a two group pairwise plot matrix, a parallel coordinates plot, a survival plot, and several functions to plot networks.
Author: Barret Schloerke [aut, cre] , Di Cook [aut, ths] , Joseph Larmarange [aut] , Francois Briatte [aut], Moritz Marbach [aut], Edwin Thoen [aut], Amos Elberg [aut], Ott Toomet [ctb], Jason Crowley [aut], Heike Hofmann [ths] , Hadley Wickham [ths]
Maintainer: Barret Schloerke <schloerke@gmail.com>

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Package fitdistrBayes updated to version 0.8.0 with previous version 0.6.0 dated 2026-10-19

Title: Objective Bayesian Distribution Fitting and AFT Regression
Description: Fits common univariate distributions using registered objective Bayesian priors, including Jeffreys, reference, and maximal data information priors, and supports user-defined distributions and priors through an extensible model specification. Model-specific posterior propriety and moment conditions are checked before computation when registered or supplied. Exact simulation, marginalization, slice sampling, adaptive Metropolis, and user-supplied posterior samplers share a common interface for summaries, diagnostics, prediction, and pointwise log-likelihood evaluation. A separate interface fits independently right-censored observations using the registered complete-data priors, observed-data likelihood sampling or data augmentation, with sufficient posterior-propriety checks. Optional post-processing provides WAIC, PSIS-LOO, and DIC for observed-data likelihoods. Formula-based accelerated failure time regression is available for nine lifetime families with complete or right-censored dat [...truncated...]
Author: Pedro Luiz Ramos [aut, cre, cph]
Maintainer: Pedro Luiz Ramos <pedro.ramos@uc.cl>

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Package interactions updated to version 1.3.0 with previous version 1.2.0 dated 2024-07-29

Title: Comprehensive, User-Friendly Toolkit for Probing Interactions
Description: A suite of functions for conducting and interpreting analysis of statistical interaction in regression models that was formerly part of the 'jtools' package. Functionality includes visualization of two- and three-way interactions among continuous and/or categorical variables as well as calculation of "simple slopes" and Johnson-Neyman intervals (see e.g., Bauer & Curran, 2005 <doi:10.1207/s15327906mbr4003_5>). These capabilities are implemented for generalized linear models in addition to the standard linear regression context.
Author: Jacob A. Long [aut, cre]
Maintainer: Jacob A. Long <jacob.long@sc.edu>

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Package causaldef updated to version 0.3.0 with previous version 0.2.1 dated 2026-08-23

Title: Decision-Theoretic Causal Diagnostics via Experiment Deficiency
Description: Implements a deficiency-theoretic framework for causal inference, grounded in the classical theory of statistical experiment comparison, as described in Akdemir (2026) <doi:10.5281/zenodo.18367346>. Provides theorem-backed bounds together with computable proxy diagnostics for information loss from confounding, selection bias, and distributional shift. Supports continuous, binary, count, survival, and competing risks outcomes. Key features include propensity-score total-variation deficiency proxies, negative control diagnostics, policy regret bounds, and sensitivity analysis via confounding frontiers.
Author: Deniz Akdemir [aut, cre]
Maintainer: Deniz Akdemir <deniz.akdemir.work@gmail.com>

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Package vrpr updated to version 0.2.3 with previous version 0.2.2 dated 2026-10-06

Title: Vehicle Routing Problem Solver Built on 'PyVRP'
Description: A 'tidyverse'-style interface to high-performance vehicle routing problem (VRP) solving. Vendors the C++ core of the 'PyVRP' solver (<https://github.com/PyVRP/PyVRP>) and rewires it through 'cpp11', with no 'Python' runtime dependency. Supports the capacitated VRP, time windows, multiple depots, heterogeneous fleets, prize-collecting and multi-trip variants, driven by an iterated local search metaheuristic.
Author: Andre Leite [aut, cre] , Marcos Wasiliew [aut] , Hugo Vasconcelos [aut] , Carlos Amorim [aut] , Diogo Bezerra [aut] , Julia Nascimento Barreto [aut] , Niels Wouda [ctb, cph] , Thibaut Vidal [cph] , ORTEC [cph]
Maintainer: Andre Leite <leite@castlab.org>

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Package tester updated to version 0.3.1 with previous version 0.3.0 dated 2025-09-22

Title: Tests and Checks Characteristics of R Objects
Description: Allows users to test characteristics of common R objects.
Author: Frederic Bertrand [cre] , Gaston Sanchez [aut]
Maintainer: Frederic Bertrand <frederic.bertrand@lecnam.net>

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Package plsRcox updated to version 1.8.3 with previous version 1.8.2 dated 2026-03-24

Title: Partial Least Squares Regression for Cox Models and Related Techniques
Description: Provides Partial least squares Regression and various regular, sparse or kernel, techniques for fitting Cox models in high dimensional settings <doi:10.1093/bioinformatics/btu660>, Bastien, P., Bertrand, F., Meyer N., Maumy-Bertrand, M. (2015), Deviance residuals-based sparse PLS and sparse kernel PLS regression for censored data, Bioinformatics, 31(3):397-404. Cross validation criteria were studied in <doi:10.48550/arXiv.1810.02962>, Bertrand, F., Bastien, Ph. and Maumy-Bertrand, M. (2018), Cross validating extensions of kernel, sparse or regular partial least squares regression models to censored data.
Author: Frederic Bertrand [cre, aut] , Myriam Maumy-Bertrand [aut]
Maintainer: Frederic Bertrand <frederic.bertrand@lecnam.net>

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Package onls updated to version 0.3 with previous version 0.2 dated 2026-09-21

Title: Orthogonal Nonlinear Least-Squares Regression
Description: Fits n-dimensional data by means of orthogonal nonlinear least-squares using Levenberg-Marquardt minimization, with a solver that exploits the block structure of the problem as 'ODRPACK' does, so that its cost grows linearly with the number of observations, and provides functionality for fit diagnostics and plotting. Delivers the same results as the 'ODRPACK' Fortran implementation described in Boggs et al. (1989) <doi:10.1145/76909.76913>, but is implemented in pure R.
Author: Andrej-Nikolai Spiess [aut, cre]
Maintainer: Andrej-Nikolai Spiess <draspiess@gmail.com>

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Package birp updated to version 0.9.2 with previous version 0.9.1 dated 2026-11-02

Title: Testing for Population Trends Using Low-Cost Ecological Count Data
Description: A Bayesian tool to test for population trends and changes in trends under arbitrary designs, including before-after (BA), control-intervention (CI) and before-after-control-intervention (BACI) designs commonly used to assess conservation impact. It infers changes in trends jointly from data obtained with multiple survey methods, as well as from limited and noisy data not necessarily collected in standardized ecological surveys. Observed counts can be modeled as following either a Poisson or a negative binomial model, and both deterministic and stochastic trend models are available. For more details on the model see Singer et al. (2025) <doi:10.1101/2025.01.08.631844>, and the file 'AUTHORS' for a list of copyright holders and contributors.
Author: Madleina Caduff [aut], Andreas Fueglistaler [aut, cre], Daniel Wegmann [aut], Liam Singer [aut], Raphael Eckel [ctb], Conrad Sanderson [cph] , Ryan Curtin [cph] , Daniel Lemire [cph] , Joao Paulo Magalhaes [cph] , Rene Brun [cph] ), Fons Rademakers [c [...truncated...]
Maintainer: Andreas Fueglistaler <andreas.fueglistaler@unifr.ch>

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Package skellam updated to version 0.2.5 with previous version 0.2.4 dated 2025-04-07

Title: The Skellam Distribution: Densities, Sampling, Estimation and Regression
Description: Density, distribution function, quantile function and random generation for the Skellam distribution, the distribution of the difference of two independent Poisson variables (Skellam, 1946), with saddlepoint approximations, maximum likelihood estimation, and a regression model in which both rates depend on covariates. The distribution functions remain accurate for very large rates and far into the tails, on the natural and the log scale.
Author: Jerry W. Lewis [aut], Patrick E. Brown [aut], Michail Tsagris [aut], Montasser Ghachem [aut, cre], Oguz Ersan [aut]
Maintainer: Montasser Ghachem <mg@pinstimation.com>

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Package Rgof updated to version 4.1.0 with previous version 4.0.1 dated 2026-10-05

Title: 1d Goodness of Fit Tests
Description: Routines that allow the user to run a large number of goodness-of-fit tests. It allows for data to be continuous or discrete. It includes routines to estimate the power of the tests and display them as a power graph. The routine run.studies allows a user to quickly study the power of a new method and how it compares to some of the standard ones.
Author: Wolfgang Rolke [aut, cre]
Maintainer: Wolfgang Rolke <wolfgang.rolke@upr.edu>

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Package pigauto updated to version 0.11.1 with previous version 0.11.0 dated 2026-10-18

Title: Fill in Missing Species Traits Using a Phylogenetic Tree
Description: Imputes missing species trait data for comparative analyses by combining three sources of information: phylogenetic similarity (closely related species share similar traits), cross-trait correlations (observed traits inform missing ones), and optional environmental covariates (climate, habitat, geography). Handles continuous measurements, counts, binary variables, ordered categories, unordered categories, bounded proportions, zero-inflated counts, and compositional multi-proportion data in a single call. The default method is a phylogenetic baseline calibrated on held-out data; an optional graph neural network prediction is blended in through a per-trait gate that retains a baseline fallback. Covariates can inform the network and selected baseline paths. Provides conformal prediction intervals for continuous, count, ordinal, and proportion traits and an experimental analysis-aware multiple-imputation workflow for one missing continuous covariate in Gaussian linear, binomial-logit, and [...truncated...]
Author: Shinichi Nakagawa [aut, cre, cph], Daniel Noble [ctb]
Maintainer: Shinichi Nakagawa <itchyshin@gmail.com>

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Package ecb updated to version 0.4.4 with previous version 0.4.3 dated 2025-03-19

Title: Programmatic Access to the European Central Bank's Data Portal
Description: Provides an interface to the European Central Bank's Data Portal API, allowing for programmatic retrieval of a vast quantity of statistical data.
Author: Eric Persson [aut, cre], Franz X. Mohr [ctb]
Maintainer: Eric Persson <expersso5@gmail.com>

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Package acro updated to version 1.1.1 with previous version 1.0.0 dated 2026-09-09

Title: A Tool for Semi-Automating the Statistical Disclosure Control of Research Outputs
Description: A Tool for Semi-Automating the Statistical Disclosure Control of Research Outputs.
Author: Jim Smith [aut, ctb] , Maha Albashir [cre, ctb], Richard John Preen [aut, ctb]
Maintainer: Maha Albashir <Maha.Albashir@uwe.ac.uk>

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Package grateful updated to version 0.3.1 with previous version 0.3.0 dated 2025-09-04

Title: Facilitate Citation of R Packages
Description: Facilitates the citation of R packages used in analysis projects. Scans project for packages used, gets their citations, and produces a document with citations in the preferred bibliography format, ready to be pasted into reports or manuscripts. Alternatively, 'grateful' can be used directly within an 'R Markdown' or 'Quarto' document.
Author: Francisco Rodriguez-Sanchez [aut, cre, cph] , Connor P. Jackson [aut] , Shaurita D. Hutchins [ctb], James M. Clawson [ctb]
Maintainer: Francisco Rodriguez-Sanchez <f.rodriguez.sanc@gmail.com>

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Package anotherSAS7bdat updated to version 0.0.9 with previous version 0.0.7 dated 2026-10-21

Title: Read 'SAS' Data in Chunks and Convert to 'Parquet'
Description: Reads 'SAS' 'sas7bdat' files through a persistent native reader. Processes configurable chunks without reopening the input or restarting the parser between chunks. Supports uncompressed, run-length encoded, and Ross Data Compression data through the bundled 'ReadStat' library. Also streams native decoded batches directly to 'Parquet' through the 'Arrow' C Data Interface and the optional 'arrow' package, without constructing R data frames.
Author: Jianyun Wu [aut, cre], Evan Miller [aut, cph]
Maintainer: Jianyun Wu <jianyun.fred.wu@hotmail.com>

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Package mintyr updated to version 0.2.1 with previous version 0.2.0 dated 2026-10-05

Title: Grouped and Nested Data Pipelines Built on 'data.table'
Description: A toolkit for grouped and nested data pipelines built on 'data.table': import many Excel / CSV files (including multi-row headers) into one table, reshape and nest data by trait and group, run reproducible (stratified) k-fold cross-validation inside every group, summarise groups with report-ready descriptive statistics, and write each piece back to its own file or sheet. Developed for animal breeding, where it prepares phenotypic files for 'ASReml-R', 'HIBLUP' or 'DMU', but useful for any multi-group, multi-variable analysis.
Author: Guo Meng [aut, cre], Guo Meng [cph]
Maintainer: Guo Meng <tony2015116@163.com>

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Package fastglm updated to version 0.1.3 with previous version 0.1.2 dated 2026-08-27

Title: Fast and Stable Fitting of Generalized Linear Models using 'RcppEigen'
Description: Fits generalized linear models efficiently using 'RcppEigen'. The iteratively reweighted least squares implementation utilizes the step-halving approach of Marschner (2011) <doi:10.32614/RJ-2011-012> to help safeguard against convergence issues. Provides formula and matrix interfaces for count and cumulative-link ordinal models, mean bias reduction, and fitting from data read in blocks of rows for supported model classes.
Author: Jared Huling [aut, cre], Douglas Bates [cph], Dirk Eddelbuettel [cph], Romain Francois [cph], Yixuan Qiu [cph], Noah Greifer [ctb]
Maintainer: Jared Huling <jaredhuling@gmail.com>

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Package blockmodels updated to version 1.2.1 with previous version 1.1.5 dated 2021-12-01

Title: Latent and Stochastic Block Model Estimation by a 'V-EM' Algorithm
Description: Latent and Stochastic Block Model estimation by a Variational EM algorithm. Various probability distribution are provided (Bernoulli, Poisson...), with or without covariates. See Leger (2016) <doi:10.48550/arXiv.1602.07587>.
Author: Jean-Benoist Leger [aut] , Julien Chiquet [aut, cre] , Pierre Barbillon [aut] , Louis Lacoste [aut]
Maintainer: Julien Chiquet <julien.chiquet@inrae.fr>

Diff between blockmodels versions 1.1.5 dated 2021-12-01 and 1.2.1 dated 2026-11-09

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Package worldmet updated to version 1.2.0 with previous version 1.1.0 dated 2026-05-18

Title: Import Surface Meteorological Data from NOAA
Description: Functions to import data from more than 30,000 surface meteorological sites around the world managed by the National Oceanic and Atmospheric Administration (NOAA) Global Historical Climate Network (GHCN) and Integrated Surface Database (ISD).
Author: David Carslaw [aut, cre] , Jack Davison [aut]
Maintainer: David Carslaw <david.carslaw@york.ac.uk>

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Package wefnexus updated to version 1.1.0 with previous version 1.0.0 dated 2026-03-10

Title: Water-Energy-Food-Nutrient-Carbon Nexus Analysis for Agronomic Systems
Description: Provides functions for analysing Water-Energy-Food-Nutrient-Carbon (WEFNC) nexus interactions in agricultural production systems. Includes functions for computing water use efficiency (WUE), water productivity (WP), and water footprint (WF) including green, blue, and grey components following the methodology of Hoekstra et al. (2011, ISBN:9781849712798). Includes energy budgeting tools for energy use efficiency (EUE), energy return on investment (EROI), net energy (NE), and energy productivity (EP). Computes nutrient use efficiency (NUE) metrics including agronomic efficiency (AE), physiological efficiency (PE), recovery efficiency (RE), and partial factor productivity (PFP) as defined by Dobermann (2007) <https://digitalcommons.unl.edu/agronomyfacpub/316/> and Congreves et al. (2021) <doi:10.3389/fpls.2021.637108>. Estimates carbon footprint (CF), greenhouse gas (GHG) emissions, soil organic carbon (SOC) stocks, and global warming potential (GWP) using Intergovernmental Pa [...truncated...]
Author: Lalit Kumar Rolaniya [aut, cre] , Hemant Poonia [aut] , Ram Lal Jat [aut] , Monika Punia [aut] , Raja Ram Choudhary [aut]
Maintainer: Lalit Kumar Rolaniya <lalitrolaniya@gmail.com>

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Package BayesMallows updated to version 2.3.0 with previous version 2.2.7 dated 2026-01-20

Title: Bayesian Preference Learning with the Mallows Rank Model
Description: An implementation of the Bayesian version of the Mallows rank model (Vitelli et al., Journal of Machine Learning Research, 2018 <https://jmlr.org/papers/v18/15-481.html>; Crispino et al., Annals of Applied Statistics, 2019 <doi:10.1214/18-AOAS1203>; Sorensen et al., R Journal, 2020 <doi:10.32614/RJ-2020-026>; Stein, PhD Thesis, 2023 <https://eprints.lancs.ac.uk/id/eprint/195759>). Both Metropolis-Hastings and sequential Monte Carlo algorithms for estimating the models are available. Cayley, footrule, Hamming, Kendall, Spearman, and Ulam distances are supported in the models. The rank data to be analyzed can be in the form of complete rankings, top-k rankings, partially missing rankings, as well as consistent and inconsistent pairwise preferences. Several functions for plotting and studying the posterior distributions of parameters are provided. The package also provides functions for estimating the partition function (normalizing constant) of the Mallows rank mo [...truncated...]
Author: Oystein Sorensen [aut, cre] , Waldir Leoncio [aut], Valeria Vitelli [aut] , Marta Crispino [aut], Qinghua Liu [aut], Cristina Mollica [aut], Luca Tardella [aut], Anja Stein [aut]
Maintainer: Oystein Sorensen <oystein.sorensen.1985@gmail.com>

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Package BaseSet updated to version 1.0.1 with previous version 1.0.0 dated 2025-02-17

Title: Working with Sets the Tidy Way
Description: Implements a class and methods to work with sets, doing intersection, union, complementary sets, power sets, cartesian product and other set operations in a "tidy" way. These set operations are available for both classical sets and fuzzy sets. Import sets from several formats or from other several data structures.
Author: Lluis Revilla Sancho [aut, cre, cph] , Zebulun Arendsee [rev], Jennifer Chang [rev]
Maintainer: Lluis Revilla Sancho <lluis.revilla@gmail.com>

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Package mhpfilter updated to version 1.0.0 with previous version 0.1.0 dated 2026-02-13

Title: Modified and Fully Modified Hodrick-Prescott Filters
Description: Decomposes macroeconomic time series into trend and cycle with the Hodrick-Prescott (HP) filter and two data-driven versions of it. The modified HP filter of McDermott (1997), assessed by Choudhary, Hanif and Iqbal (2014) <doi:10.1080/00036846.2014.894631>, chooses the smoothing parameter of every series by generalised cross-validation (as described in Coe and McDermott (1997) <doi:10.2307/3867497>). The fully modified HP filter of Hanif, Iqbal and Choudhary (2017, State Bank of Pakistan Working Paper 88) also reduces the end-point bias of the HP filter: it raises the smoothing parameter at the first and last observations, with linear or quadratic weights chosen to minimise the loss of Bloechl (2014, University of Munich Discussion Paper 2014-1). Every filter is a banded linear solve, so the searches are fast; batch processing of many series, comparisons of the filters, the filter weights, gain functions and end-point loss, simulation of trend-plus-cycle series and the powe [...truncated...]
Author: Muhammad Yaseen [aut, cre, cph] , Javed Iqbal [ctb] , M. Nadim Hanif [ctb, cph] , M. Ali Choudhary [ctb]
Maintainer: Muhammad Yaseen <myaseen208@gmail.com>

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Package dmai updated to version 1.0.0 with previous version 0.5.0 dated 2024-03-23

Title: Divisia Monetary Aggregates Index
Description: Builds monetary aggregates from their components by the methods of index number theory. The Divisia index of Barnett (1980) <doi:10.1016/0304-4076(80)90070-6> weights every component (currency, demand deposits, savings and time deposits, ...) by its share in the expenditure on monetary services, priced by its user cost (Barnett 1978) <doi:10.1016/0165-1765(78)90051-4>. Also gives the Fisher ideal index, a variant with simple growth rates, the simple-sum aggregate, the currency equivalent index of Rotemberg, Driscoll and Poterba (1995), the dual user-cost price index and the Divisia second moments of Barnett and Serletis (1990) <doi:10.1016/0304-4076(90)90104-2>; benchmark rates given or taken from the components (upper envelope); 'ggplot2' graphics, a plain-language interpretation of every result and a built-in 'shiny' application.
Author: Muhammad Yaseen [aut, cre, cph] , Ahmad Nadeem [aut, ctb]
Maintainer: Muhammad Yaseen <myaseen208@gmail.com>

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Package bpDir updated to version 0.2.6 with previous version 0.1.2 dated 2021-04-08

Title: Boxplots for Directional Data
Description: Functions for drawing boxplots for data on (the boundary of) a unit circle (i.e., circular and axial data), from Buttarazzi D., Pandolfo G., Porzio G.C. (2018) <doi:10.1111/biom.12889>. The package allows producing also circular violin plots, and includes methods to calculate robust measures of dispersion for circular data.
Author: Davide Buttarazzi [aut, cre]
Maintainer: Davide Buttarazzi <davidebuttarazzi90@gmail.com>

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Package kstMatrix updated to version 3.0-1 with previous version 3.0-0 dated 2026-09-01

Title: Basic Functions in Knowledge Space Theory Using Matrix Representation
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 'kstMatrix' package provides basic functionalities to generate, handle, and manipulate knowledge structures and knowledge spaces. Opposed to the 'kst' package, 'kstMatrix' uses matrix representations for knowledge structures. Furthermore, 'kstMatrix' contains several knowledge spaces obtained in the 1990s by the research group around Cornelia Dowling through querying experts.
Author: Cord Hockemeyer [aut, cre], Peter Steiner [aut], Wai Wong [aut]
Maintainer: Cord Hockemeyer <cord.hockemeyer@uni-graz.at>

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Sun, 08 Nov 2026

Package tidyactuarial updated to version 0.2.1 with previous version 0.2.0 dated 2026-10-25

Title: Tidy Tools for Actuarial Mathematics and Life Contingencies
Description: Provides tidyverse-aligned tools for actuarial mathematics and life contingencies, including life tables, survival probabilities, actuarial present values of cash flows, life annuities, life insurance, premiums, reserves, multiple-life calculations, Monte Carlo simulation, collective risk models, insurance coverage, tail risk measures, and deterministic cash-flow diagrams. The package emphasizes clear actuarial notation, reproducible workflows, and pipe-friendly tools for actuarial education and applied actuarial analysis.
Author: Julian Fajardo [aut, cre]
Maintainer: Julian Fajardo <julian.fajardo1908@gmail.com>

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Package LiblineaR updated to version 2.50-2 with previous version 2.50-1 dated 2026-11-08

Title: Linear Predictive Models Based on the LIBLINEAR C/C++ Library
Description: A wrapper around the LIBLINEAR C/C++ library for machine learning (available at <https://www.csie.ntu.edu.tw/~cjlin/liblinear/>). LIBLINEAR is a simple library for solving large-scale regularized linear classification and regression. It currently supports L2-regularized classification (such as logistic regression, L2-loss linear SVM and L1-loss linear SVM) as well as L1-regularized classification (such as L2-loss linear SVM and logistic regression), L2-regularized support vector regression (with L1- or L2-loss), and one-class support vector machines for outlier/novelty detection. The main features of LiblineaR include multi-class classification (one-vs-the rest, and Crammer & Singer method), cross validation for model selection, probability estimates (logistic regression only) or weights for unbalanced data. The estimation of the models is particularly fast as compared to other libraries.
Author: Thibault Helleputte [cre, aut, cph], Jerome Paul [aut] , Pierre Gramme [aut] , Chih-Jen Lin [cph] ; see LICENSE.note)
Maintainer: Thibault Helleputte <thibault.helleputte@dnalytics.com>

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Package isoreader2 updated to version 0.7.1 with previous version 0.7.0 dated 2026-08-24

Title: Read Stable Isotope Data Files
Description: Interface to the raw data and metadata stored in the file formats commonly encountered in scientific disciplines that make use of stable isotopes. Supports Isodat (.dxf, .cf, .did, .caf, .scn), IonOS (.iarc), LyticOS (.larc), Callisto (.bch), and Qtegra (.imexp) file formats. Provides a consistent data structure together with tools to aggregate, convert signal units, filter, and visualize the extracted data. The approach is described in Kopf et al. (2021) <doi:10.21105/joss.02878>.
Author: Sebastian Kopf [aut, cre]
Maintainer: Sebastian Kopf <sebastian.kopf@colorado.edu>

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Package gips updated to version 1.3.1 with previous version 1.3.0 dated 2026-07-26

Title: Gaussian Model Invariant by Permutation Symmetry
Description: Find the permutation symmetry group such that the covariance matrix of the given data is approximately invariant under it. Discovering such a permutation decreases the number of observations needed to fit a Gaussian model, which is of great use when it is smaller than the number of variables. Even if that is not the case, the covariance matrix found with 'gips' approximates the actual covariance with less statistical error. The methods implemented in this package are described in Graczyk et al. (2022) <doi:10.1214/22-AOS2174>. Documentation about 'gips' is provided via its website at <https://przechoj.github.io/gips/> and the paper by Chojecki, Morgen, Kołodziejek (2025, <doi:10.18637/jss.v112.i07>).
Author: Adam Przemyslaw Chojecki [aut, cre] , Pawel Morgen [aut], Bartosz Kolodziejek [aut]
Maintainer: Adam Przemyslaw Chojecki <adam.prze.choj@gmail.com>

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Package featR updated to version 0.2.0 with previous version 0.1.0 dated 2026-09-14

Title: A Unified Toolkit for Feature Selection
Description: Filter, wrapper, and embedded feature-selection methods behind a consistent set of functions that share one calling convention and one return type: univariate threshold filters, correlation and chi-squared filters, information gain, the least absolute shrinkage and selection operator (LASSO) and elastic net, Bayesian model comparison, Boruta, recursive feature elimination, random forest importance, multivariate adaptive regression splines, support vector machine recursive feature elimination, stepwise selection, and principal component / singular value decomposition helpers. The implemented methods follow Tibshirani (1996) <doi:10.1111/j.2517-6161.1996.tb02080.x>, Zou and Hastie (2005) <doi:10.1111/j.1467-9868.2005.00503.x>, Friedman (1991) <doi:10.1214/aos/1176347963>, Breiman (2001) <doi:10.1023/A:1010933404324>, Guyon, Weston, Barnhill and Vapnik (2002) <doi:10.1023/A:1012487302797>, Kursa and Rudnicki (2010) <doi:10.18637/jss.v036.i11>, and Vehta [...truncated...]
Author: Justin Chase [aut, cre, cph]
Maintainer: Justin Chase <jchase.msu@gmail.com>

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Package dacc updated to version 0.1.0 with previous version 0.0-7 dated 2025-09-16

Title: Detection and Attribution Analysis of Climate Change
Description: Detection and attribution analysis of climate change using errors-in-variables regression. Implements the polynomial shrinkage framework under variance heterogeneity proposed by Li and Li (2026) <doi:10.48550/arXiv.2608.12496> and the latent factor framework proposed by Li and Li (2026) <doi:10.48550/arXiv.2609.13488>. Estimates forcing scaling factors and variance inflation coefficients for forced simulations and control runs relative to observations. Selects polynomial covariance weights or bias-corrected spiked precision weights by minimizing estimated total asymptotic scaling factor variance, and provides asymptotic confidence intervals and residual diagnostics. Also retains earlier total least squares and estimating equation procedures (Li et al., 2025, <doi:10.1175/JCLI-D-24-0193.1>; Ma et al., 2023, <doi:10.1175/JCLI-D-22-0681.1>) for comparison and reproducibility, together with covariance shrinkage estimators.
Author: Haoran Li [aut], Yan Li [aut, cre], Kun Chen [aut], Jun Yan [aut]
Maintainer: Yan Li <yan.4.li@uconn.edu>

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Package cir updated to version 2.5.2 with previous version 2.5.1 dated 2025-02-01

Title: Centered Isotonic Regression and Dose-Response Utilities
Description: Isotonic regression (IR) and its improvement: centered isotonic regression (CIR). CIR is recommended in particular with small samples. Also, interval estimates for both, and additional utilities such as plotting dose-response data. For dev version and change history, see GitHub assaforon/cir.
Author: Assaf P. Oron [cre, aut]
Maintainer: Assaf P. Oron <assaf.oron@gmail.com>

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Package bayprior updated to version 0.6.0 with previous version 0.5.0 dated 2026-10-20

Title: Bayesian Prior Elicitation, Diagnostics, and Regulatory Reporting
Description: A toolkit for constructing, validating, and justifying Bayesian priors in clinical trial settings. Implements expert elicitation via quantile matching, the roulette method, and moment matching across six distribution families, linear and logarithmic expert pooling, meta-analytic-predictive (MAP) priors derived from historical trials, prior-data conflict diagnostics including the Box p-value (computed from the exact prior predictive distribution where one has a closed form), an exploratory surprisal (S-value) companion to it, surprise index, information divergence, and Mahalanobis distance, sensitivity analyses with tornado and influence heatmap plots, sceptical, robust, and power priors, and automated prior justification reports. Includes a fully modular 'Shiny' application for interactive use. Methods based on O'Hagan et al. (2006, ISBN:9780470029886), Box (1980) <doi:10.2307/2982063>, Greenland (2023) <doi:10.1111/sjos.12625>, Oakley and O'Hagan (2010) <https://tonyoha [...truncated...]
Author: Ndoh Penn [aut, cre]
Maintainer: Ndoh Penn <ndohpenn9@gmail.com>

Diff between bayprior versions 0.5.0 dated 2026-10-20 and 0.6.0 dated 2026-11-08

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Package manymome updated to version 0.3.8 with previous version 0.3.7 dated 2026-09-03

Title: Mediation, Moderation and Moderated-Mediation After Model Fitting
Description: Computes indirect effects, conditional effects, and conditional indirect effects in a structural equation model or path model after model fitting, with no need to define any user parameters or label any paths in the model syntax, using the approach presented in Cheung and Cheung (2024) <doi:10.3758/s13428-023-02224-z>. Can also form bootstrap confidence intervals by doing bootstrapping only once and reusing the bootstrap estimates in all subsequent computations. Supports bootstrap confidence intervals for standardized (partially or completely) indirect effects, conditional effects, and conditional indirect effects as described in Cheung (2009) <doi:10.3758/BRM.41.2.425> and Cheung, Cheung, Lau, Hui, and Vong (2022) <doi:10.1037/hea0001188>. Model fitting can be done by structural equation modeling using lavaan() or regression using lm().
Author: Shu Fai Cheung [aut, cre] , Sing-Hang Cheung [aut] , Rong Wei Sun [ctb] , Wendie Yang [ctb]
Maintainer: Shu Fai Cheung <shufai.cheung@gmail.com>

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Package esreg updated to version 0.6.3 with previous version 0.6.2 dated 2023-05-13

Title: Joint Quantile and Expected Shortfall Regression
Description: Simultaneous modeling of the quantile and the expected shortfall of a response variable given a set of covariates, see Dimitriadis and Bayer (2019) <doi:10.1214/19-EJS1560>.
Author: Sebastian Bayer [aut, cre], Timo Dimitriadis [aut]
Maintainer: Sebastian Bayer <sebastian.bayer@famba.org>

Diff between esreg versions 0.6.2 dated 2023-05-13 and 0.6.3 dated 2026-11-08

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Package arrow updated to version 26.0.1 with previous version 26.0.0 dated 2026-10-24

Title: Integration to 'Apache' 'Arrow'
Description: 'Apache' 'Arrow' <https://arrow.apache.org/> is a cross-language development platform for in-memory data. It specifies a standardized language-independent columnar memory format for flat and hierarchical data, organized for efficient analytic operations on modern hardware. This package provides an interface to the 'Arrow C++' library.
Author: Neal Richardson [aut], Ian Cook [aut], Nic Crane [aut], Dewey Dunnington [aut] , Romain Francois [aut] , Jonathan Keane [aut, cre], Bryce Mecum [aut], DragoÈ™ Moldovan-Gruenfeld [aut], Jeroen Ooms [aut], Jacob Wujciak-Jens [aut], Javier Luraschi [ctb], [...truncated...]
Maintainer: Jonathan Keane <jkeane@gmail.com>

Diff between arrow versions 26.0.0 dated 2026-10-24 and 26.0.1 dated 2026-11-08

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Package quickSentiment updated to version 0.3.7 with previous version 0.3.6 dated 2026-08-28

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 fz updated to version 2.0.0 with previous version 1.2.0 dated 2026-09-04

Title: R Wrapper for the 'funz-fz' Parametric Simulation Framework
Description: Provides R bindings to the 'funz-fz' Python package using 'reticulate'. The 'fz' framework wraps arbitrary simulation codes to run parameter sweeps, design-of-experiments studies, and iterative algorithm-driven analyses by substituting variable placeholders in text input files and collecting outputs into data frames. Calculators can run locally (shell), over SSH, or on 'SLURM' clusters. See <https://github.com/Funz/fz> for the underlying framework.
Author: Yann Richet [aut, cre]
Maintainer: Yann Richet <yann.richet@asnr.fr>

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Package dgraphs updated to version 0.4.1 with previous version 0.4.0 dated 2026-11-07

Title: Data-Derived Graph Construction Utilities
Description: Constructs data-derived graphs from numerical observations using mutual, shared-neighbor, intersection, geodesic, radius, adaptive-radius, minimum-spanning-tree completion, Fermat-distance, and optional iterated adaptive neighborhood methods. Provides graph conversion, pruning, diagnostics, spectral embedding, endpoint detection, and path utilities, including intrinsic Euclidean distances on the max-normalized compositional simplex. Includes reproducible synthetic geometries, point sampling, and an optional interactive graph explorer. The graph constructions include methods described by Jarvis and Patrick (1973) <doi:10.1109/T-C.1973.223640>, Brito et al. (1997) <doi:10.1016/S0167-7152(96)00213-1>, Berry and Sauer (2019) <doi:10.3934/fods.2019001>, and Gower and Ross (1969) <doi:10.2307/2346439>.
Author: Pawel Gajer [aut, cre], Sunil Arya [ctb] , David M. Mount [ctb] , University of Maryland [cph] , Yixuan Qiu [ctb, cph] , Anna Araslanova [ctb, cph] , Gael Guennebaud [ctb, cph] , Jitse Niesen [ctb, cph] , Netherlands eScience Center [ctb, cph] , Dani [...truncated...]
Maintainer: Pawel Gajer <pgajer@gmail.com>

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Package varycoef updated to version 0.4.1 with previous version 0.3.6 dated 2025-05-04

Title: Modeling Spatially Varying Coefficients
Description: Implements a maximum likelihood estimation (MLE) method for estimation and prediction of Gaussian process-based spatially varying coefficient (SVC) models (Dambon et al. (2021a) <doi:10.1016/j.spasta.2020.100470>). Covariance tapering (Furrer et al. (2006) <doi:10.1198/106186006X132178>) can be applied such that the method scales to large data. Further, it implements a joint variable selection of the fixed and random effects (Dambon et al. (2021b) <doi:10.1080/13658816.2022.2097684>). The package and its capabilities are described in (Dambon et al. (2021c) <doi:10.48550/arXiv.2106.02364>).
Author: Jakob A. Dambon [aut, cre] , Fabio Sigrist [ctb] , Reinhard Furrer [ctb]
Maintainer: Jakob A. Dambon <varycoef@dambon.me>

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Package truncreg updated to version 0.3-0 with previous version 0.2-5 dated 2018-08-18

Title: Truncated Gaussian Regression Models
Description: Estimation of regression models for truncated Gaussian variables by maximum likelihood.
Author: Yves Croissant [aut, cre] , Achim Zeileis [aut]
Maintainer: Yves Croissant <y.croissant@univ-lyon2.fr>

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Package soilVAE updated to version 0.2.0 with previous version 0.1.10 dated 2026-08-22

Title: Supervised Variational Autoencoder Regression via 'reticulate'
Description: Supervised latent-variable regression for high-dimensional predictors such as soil reflectance spectra. The model uses an encoder-decoder neural network with a stochastic Gaussian latent representation regularized by a Kullback-Leibler term, and a supervised prediction head trained jointly with the reconstruction objective (Kingma and Welling (2014) <doi:10.48550/arXiv.1312.6114>). Predictors and response are standardised inside the model, so new data are scaled like the training data. The implementation interfaces R with a 'Python' deep-learning backend ('Keras' and 'TensorFlow') and provides utilities for installation, training with early stopping, tuning, prediction, latent embeddings, and saving models.
Author: Hugo Rodrigues [aut, cre]
Maintainer: Hugo Rodrigues <rodrigues.machado.hugo@gmail.com>

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Package QuadRoot updated to version 0.3.0 with previous version 0.2.1 dated 2023-09-10

Title: Quadratic Root for any Quadratic Equation
Description: It will assist the user to find simple quadratic roots from any quadratic equation.
Author: Pankaj Das [aut, cre]
Maintainer: Pankaj Das <pankaj.iasri@gmail.com>

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Package PEIMAN2 updated to version 1.2.0 with previous version 1.1.0 dated 2026-06-17

Title: Post-Translational Modification Enrichment, Integration, and Matching Analysis
Description: Functions and mined database from 'UniProt' focusing on post-translational modifications to do single enrichment analysis (SEA) and protein set enrichment analysis (PSEA). Payman Nickchi, Uladzislau Vadadokhau, Mehdi Mirzaie, Marc Baumann, Amir Ata Saei, Mohieddin Jafari (2025) <doi:10.1002/pmic.202400238>.
Author: Mohieddin Jafari [aut], Payman Nickchi [aut, cre]
Maintainer: Payman Nickchi <payman.nickchi@gmail.com>

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Package mizu updated to version 0.1.1 with previous version 0.1.0 dated 2026-11-04

Title: Thread-Speed Async and Parallel R over Shared Memory
Description: Parallel computation and data exchange between R processes on the same machine: lock-free channels, work-stealing task pools, and a parallel map over 'POSIX' shared memory (Linux, macOS) or 'Win32' file mappings (Windows), with the hot path entirely in user space. Communication is cheap enough that work can be divided as finely as with threads. Vectors and data frames transfer zero-copy, received as 'ALTREP' views over the shared pages, and 'Apache Arrow' tables and record batches travel as a single frame with zero-copy conversion in both directions. Receives and task results integrate with 'later' and 'promises' for non-blocking, event-driven applications such as 'shiny'. Channels, pools, and maps interoperate with 'pymizu', so a peer or worker can equally be a Python process. It complements 'mirai', and its payloads interoperate with 'mori' shared objects.
Author: Charlie Gao [aut, cre] , Posit Software, PBC [cph, fnd], Pierre L'Ecuyer [cph]
Maintainer: Charlie Gao <charlie.gao@posit.co>

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Package growthcleanr updated to version 3.0.0 with previous version 2.2.3 dated 2026-05-09

Title: Data Cleaner for Anthropometric Measurements
Description: Flags implausible anthropometric (weight, height, and head circumference) measurements in longitudinal pediatric and adult datasets, such as those from electronic health records. Identifies other measurements that should often be excluded from analyses. The main function is cleangrowth(). Implements a modified version of the algorithm described in Daymont et al. (2017) <doi:10.1093/jamia/ocx037>.
Author: Carrie Daymont [cre, aut, cph], Robert W Grundmeier [aut], Jeffrey Miller [aut], Diego Campos [aut], Dan Chudnov [aut], Hannah De los Santos [aut], David Freedman [aut], Wen Hu [aut], Chris Penney [aut], Jesse Anderson [ctb], Matt Boyas [ctb], Lusha [...truncated...]
Maintainer: Carrie Daymont <cdaymont@pennstatehealth.psu.edu>

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Package grip updated to version 0.3.0 with previous version 0.2.0 dated 2026-08-31

Title: Graph Drawing with Intelligent Placement (GRIP)
Description: Implements GRIP multiscale graph layout with a unified choice between hop-count and geometry-aware edge-length graph metrics in 2D and 3D. Provides layout scoring, candidate comparison, multiscale trace diagnostics, synthetic graph families, and advanced experimental geodesic-KK utilities for weighted-layout evaluation and polish. Based on Gajer and Kobourov (2002) <doi:10.7155/jgaa.00052> and Gajer, Goodrich and Kobourov (2004) <doi:10.1016/j.comgeo.2004.03.014>. Includes derived graph datasets from the SuiteSparse Matrix Collection, with source attribution and transformation metadata.
Author: Pawel Gajer [aut, cre], Jonathan Zheng [ctb, cph] , Daniel Hangan [ctb] , The scikit-learn developers [cph]
Maintainer: Pawel Gajer <pgajer@gmail.com>

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Package flextable updated to version 0.10.4 with previous version 0.10.3 dated 2026-10-14

Title: Functions for Tabular Reporting
Description: Use a grammar for creating and customizing pretty tables. The following formats are supported: 'HTML', 'PDF', 'Typst', 'RTF', 'Microsoft Word', 'Microsoft PowerPoint', R 'Grid Graphics' and 'patchwork'. 'R Markdown', 'Quarto' and the package 'officer' can be used to produce the result files. The syntax is the same for the user regardless of the type of output to be produced. A set of functions allows the creation, definition of cell arrangement, addition of headers or footers, formatting and definition of cell content with text and or images. The package also offers a set of high-level functions that allow tabular reporting of statistical models and the creation of complex cross tabulations.
Author: David Gohel [aut, cre], ArData [cph], Clementine Jager [ctb], Eli Daniels [ctb], Panagiotis Skintzos [aut], Quentin Fazilleau [ctb], Maxim Nazarov [ctb], Titouan Robert [ctb], Michael Barrowman [ctb], Atsushi Yasumoto [ctb], Paul Julian [ctb], Sean B [...truncated...]
Maintainer: David Gohel <david.gohel@ardata.fr>

Diff between flextable versions 0.10.3 dated 2026-10-14 and 0.10.4 dated 2026-11-08

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Package ellmer updated to version 0.5.1 with previous version 0.5.0 dated 2026-09-04

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>

Diff between ellmer versions 0.5.0 dated 2026-09-04 and 0.5.1 dated 2026-11-08

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Package dbparser updated to version 2.3.0 with previous version 2.2.1 dated 2026-01-08

Title: Drugs Databases Parser
Description: Parses drug and gene databases from their downloaded files: the 'DrugBank' XML database <https://go.drugbank.com/>, the 'OnSIDES' and 'TWOSIDES' adverse drug event databases, Human Phenotype Ontology ('HPO') gene-phenotype associations, the 'HGNC' gene nomenclature files, Health Canada's Drug Product Database ('DPD') data extract, and the 'openFDA' 'Drugs@FDA' and 'NDC' directory downloads. The parsed tables are returned in an 'R' object called 'dvobject', which records the source release, licence and file hashes.
Author: Mohammed Ali [aut, cre], Ali Ezzat [aut], Hao Zhu [rev], Emma Mendelsohn [rev], Interstellar [cph, fnd]
Maintainer: Mohammed Ali <mohammed.ali@interstellar-egypt.com>

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Package countryatlas updated to version 4.0.0 with previous version 3.0.0 dated 2026-10-01

Title: Join World Bank Data, Country Codes and Maps on the ISO Spine
Description: A complete toolkit for getting country data onto honest maps. Country names rarely line up across data sources ("US", "U.S.", "United States", "United States of America" are one country, but a naive join treats them as four), so 'countryatlas' makes ISO codes the universal join key, and matches names in many languages. It joins indicators from the World Bank, Our World in Data, the European Union's statistical office and any statistical data and metadata exchange service to bundled Natural Earth borders and the 'countrycode' Rosetta stone, recording each value's source, unit and release, and can pin a World Bank release so a result reproduces; treats country-year panels as first class, with dated income groups, regions and group memberships, lags keyed on the year and aggregates that report their coverage; adds analysis helpers (per-capita, inequality, convergence, distribution dynamics, rates, and spatial statistics with multiple-testing control); and draws a full vocabulary of equal- [...truncated...]
Author: Youzhi Yu [aut, cre]
Maintainer: Youzhi Yu <yuyouzhi666@icloud.com>

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More information about countryatlas at CRAN
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Package bfpwr updated to version 0.3 with previous version 0.1.6 dated 2025-09-02

Title: Power and Sample Size Calculations for Bayes Factor Analysis
Description: Implements z-test, t-test, normal moment prior, and binomial test Bayes factors based on summary statistics, along with functionality to perform corresponding power and sample size calculations for fixed and sequential designs as described in Pawel and Held (2025) <doi:10.1080/00031305.2025.2467919>, Pawel and Held (2026) <doi:10.48550/ARXIV.2601.02851>, and Kelter and Pawel (2026) <doi:10.48550/arXiv.2502.02914>.
Author: Samuel Pawel [aut, cre] , Frantisek Bartos [aut]
Maintainer: Samuel Pawel <samuel.pawel@uzh.ch>

Diff between bfpwr versions 0.1.6 dated 2025-09-02 and 0.3 dated 2026-11-08

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More information about bfpwr at CRAN
Permanent link

Package DDIwR updated to version 0.23 with previous version 0.22 dated 2026-10-08

Title: DDI with R
Description: Useful functions for various DDI (Data Documentation Initiative) related inputs and outputs. Converts data files to and from DDI, SPSS, Stata, SAS, R and Excel, including user declared missing values.
Author: Adrian Dusa [aut, cre, cph]
Maintainer: Adrian Dusa <dusa.adrian@unibuc.ro>

Diff between DDIwR versions 0.22 dated 2026-10-08 and 0.23 dated 2026-11-08

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More information about DDIwR at CRAN
Permanent link

Package declared updated to version 0.28 with previous version 0.27 dated 2026-08-21

Title: Functions for Declared Missing Values
Description: A zero dependency package containing functions to declare labels and missing values, coupled with associated functions to create (weighted) tables of frequencies and various other summary measures. Some of the base functions have been rewritten to make use of the specific information about the missing values, most importantly to distinguish between empty and declared NA values. Some functions have similar functionality with the corresponding ones from packages "haven" and "labelled". The aim is to ensure as much compatibility as possible with these packages, while offering an alternative in the objects of class "declared".
Author: Adrian Dusa [aut, cre, cph]
Maintainer: Adrian Dusa <dusa.adrian@unibuc.ro>

Diff between declared versions 0.27 dated 2026-08-21 and 0.28 dated 2026-11-08

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More information about declared at CRAN
Permanent link

New package xemd with initial version 0.1.5
Package: xemd
Title: eXtended Empirical Mode Decomposition
Version: 0.1.5
Description: Signals are decomposed into oscillatory modes by empirical mode decomposition and its ensemble, complementary ensemble, complete ensemble, masked, bivariate and multivariate variants, by variational mode decomposition and its multivariate and successive variants, and by local mean decomposition, iterative filtering, time varying filter empirical mode decomposition and the empirical wavelet transform; the synchrosqueezed wavelet transform is also provided. Empirical mode decomposition is due to Huang et al. (1998) <doi:10.1098/rspa.1998.0193>, its ensemble variant to Wu and Huang (2009) <doi:10.1142/S1793536909000047> and variational mode decomposition to Dragomiretskiy and Zosso (2014) <doi:10.1109/TSP.2013.2288675>. The modes can be described by their instantaneous amplitude and frequency and their Hilbert spectrum, tested as intrinsic mode functions or against white noise, selected by energy and compared through orthogonality, mode splitting, reconstruction quality, [...truncated...]
URL: https://kanameishi.github.io/xemd/
License: GPL-3
Copyright: Authors, copyright notices and licenses of the third-party code adapted in xemd are listed in file inst/NOTICE.
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: data.table, pracma, splines, stats, utils
Suggests: hht, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-10-24 20:27:01 UTC; averrik
Author: Alejandro Verri Kozlowski [aut, cre, cph, trl] , G. Rilling [ctb] , Marcelo A. Colominas [cph] , Pierre Masselot [ctb] , Vinicius Rezende Carvalho [ctb, cph] , Eduardo Mazoni [cph] , Jerome Gilles [ctb, cph] , Kathryn Heal [ctb] , Emanuele Papini [ct [...truncated...]
Maintainer: Alejandro Verri Kozlowski <averri@fi.uba.ar>
Repository: CRAN
Date/Publication: 2026-11-08 17:10:02 UTC

More information about xemd at CRAN
Permanent link

New package weaveDraft with initial version 0.1.0
Package: weaveDraft
Title: Structural Analysis of Woven Textile Drafts from WIF Files
Version: 0.1.0
Description: Imports weaving drafts stored in the Weaving Information File (WIF) interchange format, reconstructs the binary warp and weft drawdown from either a liftplan or a tie-up with treadling, and computes structural descriptors of the cloth: float length distributions, interlacement frequency, weave repeat size, a directional float ratio, and thread colour sequences. A flat-colour simulation of the fabric face helps to separate patterns carried by the interlacement structure from patterns carried by the thread colours. Intended for computational analysis and documentation of handloom and other multi-shaft textiles.
License: MIT + file LICENSE
Depends: R (>= 3.6.0)
Imports: graphics, grDevices, stats, tools
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-10-25 03:59:41 UTC; root
Author: Mark Joshua R. Secretario [aut, cre]
Maintainer: Mark Joshua R. Secretario <markjoshuasecretario@gmail.com>
Repository: CRAN
Date/Publication: 2026-11-08 17:50:02 UTC

More information about weaveDraft at CRAN
Permanent link

Package RoBMA updated to version 4.1.1 with previous version 4.0.0 dated 2026-05-07

Title: Robust Bayesian Meta-Analyses
Description: A framework for Bayesian meta-analysis, including model estimation, prior specification, model comparison, prediction, summaries, visualizations, and diagnostics. The package fits single and model-averaged meta-analytic, meta-regression, multilevel and multivariate, publication bias adjusted, and generalized linear mixed models. The model-averaged meta-analytic models combine competing models based on their predictive performance, weight inference by posterior model probabilities, and test model components using Bayes factors (e.g., effect vs. no effect; Bartoš et al., 2022, <doi:10.1002/jrsm.1594>; Maier, Bartoš & Wagenmakers, 2022, <doi:10.1037/met0000405>; Bartoš et al., 2025, <doi:10.1037/met0000737>). Users can specify flexible prior distributions for effect sizes, heterogeneity, publication bias (including selection models and PET-PEESE), and moderators.
Author: Frantisek Bartos [aut, cre] , Maximilian Maier [aut] , Eric-Jan Wagenmakers [ths] , Joris Goosen [ctb], Matthew Denwood [cph] , Martyn Plummer [cph]
Maintainer: Frantisek Bartos <f.bartos96@gmail.com>

Diff between RoBMA versions 4.0.0 dated 2026-05-07 and 4.1.1 dated 2026-11-08

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More information about RoBMA at CRAN
Permanent link

New package infocentroid with initial version 0.1.0
Package: infocentroid
Title: Information-Dense Centroid Metrics
Version: 0.1.0
Description: Traditional central tendency and dispersion measures such as the mean and standard deviation can be misleading for multimodal or outlier-contaminated data. This package implements information-theoretic alternatives that weight observations by their local probability density, focusing on the region containing the bulk of the data. The core functions include ic_weights() for kernel density or histogram based entropy weighting, ic_center() and ic_dispersion() for weighted location and spread, ic_combined() for a single information density score between zero and one, and ic_plot() for visualization.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: ggplot2, ggfx
URL: https://github.com/ahmetkutuk1/infocentroid
BugReports: https://github.com/ahmetkutuk1/infocentroid/issues
NeedsCompilation: no
Packaged: 2026-10-25 18:09:55 UTC; TEKNO
Author: Ahmet Kutuk [aut, cre]
Maintainer: Ahmet Kutuk <ahmetkutuk@gmail.com>
Repository: CRAN
Date/Publication: 2026-11-08 18:10:02 UTC

More information about infocentroid at CRAN
Permanent link

Package TemporalHazard updated to version 1.3.0 with previous version 1.1.0 dated 2026-06-12

Title: Temporal Parametric Hazard Modeling
Description: Provides native R implementations of the multiphase parametric hazard model of Blackstone, Naftel, and Turner (1986) <doi:10.1080/01621459.1986.10478314> with a focus on behavioral parity, transparent numerics, and reproducible validation against reference outputs from the original 'C'/'SAS' 'HAZARD' program, originally developed at the University of Alabama at Birmingham (UAB). The 'SAS'/'C' code and this R package are currently developed and maintained at The Cleveland Clinic Foundation, and the R code was wholly developed at The Cleveland Clinic Foundation. The generalized temporal decomposition family extends to longitudinal mixed-effects settings (Rajeswaran et al. 2018 <doi:10.1177/0962280215623583>). The package is intentionally implemented in pure R first; performance-critical paths may later be accelerated with 'Rcpp' without changing the public interface.
Author: John Ehrlinger [aut, cre, cph], R Core Team [cph] ), Makoto Matsumoto [cph] ), Takuji Nishimura [cph] )
Maintainer: John Ehrlinger <john.ehrlinger@gmail.com>

Diff between TemporalHazard versions 1.1.0 dated 2026-06-12 and 1.3.0 dated 2026-11-08

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New package sideview with initial version 0.3.0
Package: sideview
Title: Explore and Join Many Tables on a Zoomable Canvas
Version: 0.3.0
Description: Lays out many data frames side by side as cards on a pan-and-zoom canvas, either as a 'shiny' gadget for 'RStudio' or as an 'htmlwidgets' widget for 'R Markdown' and 'Quarto' pages. Drawing a line between two columns writes the 'dplyr' join and checks it first: match rates, unmatched keys and the key relationship. Sorts, filters and other steps build up a readable pipeline of R code, and a column inspector exports a data dictionary. An optional large language model (LLM) assistant, using 'Ollama' or an 'OpenAI'-compatible service, suggests 'tidyverse' code from the table schema only, never the data rows.
URL: https://lauyeehow1986-hub.github.io/sideview/, https://github.com/lauyeehow1986-hub/sideview
BugReports: https://github.com/lauyeehow1986-hub/sideview/issues
License: MIT + file LICENSE
Encoding: UTF-8
Imports: shiny, htmltools, htmlwidgets, dplyr, httr2, jsonlite, later, rstudioapi
Suggests: testthat (>= 3.0.0), shinytest2, arrow, duckdb, DBI, gt, flextable, knitr, rmarkdown, writexl, withr, bslib, dbplyr, callr, chromote, httpuv, pkgload
NeedsCompilation: no
Packaged: 2026-10-25 02:42:06 UTC; lauye
Author: Yee How Lau [aut, cre, cph]
Maintainer: Yee How Lau <lauyeehow1986@gmail.com>
Repository: CRAN
Date/Publication: 2026-11-08 17:40:02 UTC

More information about sideview at CRAN
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