Wed, 22 Jul 2026

Package ThSQCA updated to version 2.0.4 with previous version 2.0.2 dated 2026-07-15

Title: Threshold-Sweep QCA
Description: Provides threshold sweep methods for Qualitative Comparative Analysis (QCA). Implements Condition Threshold Sweep-Single (CTS-S), Condition Threshold Sweep-Multiple (CTS-M), Outcome Threshold Sweep (OTS), and Dual Threshold Sweep (DTS) for systematic exploration of threshold calibration effects on crisp-set QCA results. These methods extend traditional robustness approaches by treating threshold variation as an exploratory tool for discovering causal structures. Also provides Fiss (2011) <doi:10.5465/amj.2011.60263120> core/peripheral condition classification via compute_fiss_core() and generate_fiss_chart(), enabling four-symbol configuration charts that distinguish core conditions (present in both parsimonious and intermediate solutions) from peripheral conditions (intermediate only). Built on top of the 'QCA' package by Dusa (2019) <doi:10.1007/978-3-319-75668-4>, with function arguments following 'QCA' conventions. Based on set-theoretic methods by Ragin (2008) <doi: [...truncated...]
Author: Yuki Toyoda [aut, cre], Japan Society for the Promotion of Science [fnd]
Maintainer: Yuki Toyoda <yuki.toyoda.ds@hosei.ac.jp>

Diff between ThSQCA versions 2.0.2 dated 2026-07-15 and 2.0.4 dated 2026-07-22

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Package KernSmoothIRT updated to version 6.6 with previous version 6.4 dated 2020-02-17

Title: Nonparametric Item Response Theory
Description: Fits nonparametric item and option characteristic curves using kernel smoothing. It allows for optimal selection of the smoothing bandwidth using cross-validation and a variety of exploratory plotting tools. The kernel smoothing is based on methods described in Silverman, B.W. (1986). Density Estimation for Statistics and Data Analysis. Chapman & Hall, London.
Author: Angelo Mazza [aut], Antonio Punzo [aut], Brian McGuire [aut, cre]
Maintainer: Brian McGuire <mcguirebc@gmail.com>

Diff between KernSmoothIRT versions 6.4 dated 2020-02-17 and 6.6 dated 2026-07-22

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Package command updated to version 0.2.0 with previous version 0.1.3 dated 2025-11-22

Title: Process Command Line Arguments
Description: Process command line arguments, allowing scripts to behave like functions, with well-defined inputs and outputs. Helps make data analysis workflows more modular, and therefore more transparent, flexible, and reliable.
Author: John Bryant [aut, cre], Bayesian Demography Limited [cph]
Maintainer: John Bryant <john@bayesiandemography.com>

Diff between command versions 0.1.3 dated 2025-11-22 and 0.2.0 dated 2026-07-22

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Package artoo updated to version 0.1.3 with previous version 0.1.2 dated 2026-07-01

Title: Lossless CDISC-Native Input and Output for Clinical Datasets
Description: Reads and writes clinical-trial datasets losslessly across 'SAS' XPORT (XPT), Clinical Data Interchange Standards Consortium (CDISC) Dataset-JSON, and 'Apache Parquet', applying a specification to produce submission-ready Study Data Tabulation Model (SDTM) and Analysis Data Model (ADaM) datasets. A single canonical metadata model carries labels, CDISC data types, lengths, 'SAS' display formats, controlled-terminology references, and sort keys identically across every format, so conversion between any two formats is lossless by construction. Pure 'R' and lightweight, with no external 'SAS' or 'Java' runtime. Implements the published format specifications for CDISC Dataset-JSON (<https://cdisc-org.github.io/DataExchange-DatasetJson/doc/dataset-json1-1.html>) and 'SAS' XPORT (<https://www.loc.gov/preservation/digital/formats/fdd/fdd000466.shtml>).
Author: Vignesh Thanikachalam [aut, cre, cph]
Maintainer: Vignesh Thanikachalam <about.vignesh@gmail.com>

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

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

2017-09-30 1.0.0

Permanent link
Package rbmi updated to version 1.6.1 with previous version 1.6.0 dated 2026-01-23

Title: Reference Based Multiple Imputation
Description: Implements standard and reference based multiple imputation methods for continuous longitudinal endpoints (Gower-Page et al. (2022) <doi:10.21105/joss.04251>). In particular, this package supports deterministic conditional mean imputation and jackknifing as described in Wolbers et al. (2022) <doi:10.1002/pst.2234>, Bayesian multiple imputation as described in Carpenter et al. (2013) <doi:10.1080/10543406.2013.834911>, and bootstrapped maximum likelihood imputation as described in von Hippel and Bartlett (2021) <doi:10.1214/20-STS793>.
Author: Lukas A. Widmer [aut, cre] , Craig Gower-Page [aut], Isaac Gravestock [aut] , Alessandro Noci [aut], Marcel Wolbers [aut] , Daniel Sabanes Bove [aut] , F. Hoffmann-La Roche AG [cph, fnd]
Maintainer: Lukas A. Widmer <lukas_andreas.widmer@novartis.com>

Diff between rbmi versions 1.6.0 dated 2026-01-23 and 1.6.1 dated 2026-07-22

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Package qfratio updated to version 1.1.2 with previous version 1.1.1 dated 2024-02-08

Title: Moments and Distributions of Ratios of Quadratic Forms Using Recursion
Description: Evaluates moments of ratios (and products) of quadratic forms in normal variables, specifically using recursive algorithms developed by Bao and Kan (2013) <doi:10.1016/j.jmva.2013.03.002> and Hillier et al. (2014) <doi:10.1017/S0266466613000364>. Also provides distribution, quantile, and probability density functions of simple ratios of quadratic forms in normal variables with several algorithms. Originally developed as a supplement to Watanabe (2023) <doi:10.1007/s00285-023-01930-8> for evaluating average evolvability measures in evolutionary quantitative genetics, but can be used for a broader class of statistics. Generating functions for these moments are also closely related to the top-order zonal and invariant polynomials of matrix arguments.
Author: Junya Watanabe [aut, cre, cph] , Patrick Alken [cph] , Brian Gough [cph] , Pavel Holoborodko [cph] , Gerard Jungman [cph] , Reid Priedhorsky [cph] , Free Software Foundation, Inc. [cph]
Maintainer: Junya Watanabe <Junya.Watanabe@vetmeduni.ac.at>

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Permanent link

Package DBItest updated to version 1.8.3 with previous version 1.8.2 dated 2024-12-07

Title: Testing DBI Backends
Description: A helper that tests DBI back ends for conformity to the interface.
Author: Kirill Mueller [aut, cre] , RStudio [cph], R Consortium [fnd]
Maintainer: Kirill Mueller <kirill@cynkra.com>

Diff between DBItest versions 1.8.2 dated 2024-12-07 and 1.8.3 dated 2026-07-22

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More information about DBItest at CRAN
Permanent link

Package datasetviewer updated to version 0.2.0 with previous version 0.1.1 dated 2026-07-09

Title: 'SAS Studio'-Style Interactive Dataset Viewer
Description: An interactive dataset viewer that renders a fast, scrollable grid with a column-selection panel, per-column property metadata, and a names-versus-labels header toggle, modelled on the 'SAS Studio' table viewer. Runs from one codebase in interactive 'Shiny' apps and in static HTML documents, with a free-text row filter, header sort, and CSV export, and handles large datasets without row sampling by querying them in the browser with 'DuckDB-WASM'.
Author: Vignesh Thanikachalam [aut, cre, cph]
Maintainer: Vignesh Thanikachalam <about.vignesh@gmail.com>

Diff between datasetviewer versions 0.1.1 dated 2026-07-09 and 0.2.0 dated 2026-07-22

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More information about datasetviewer at CRAN
Permanent link

Package bpcp updated to version 1.5.5 with previous version 1.5.4 dated 2026-07-21

Title: Beta Product Confidence Procedure for Right Censored Data
Description: Calculates nonparametric pointwise confidence intervals for the survival distribution for right censored data, and for medians [Fay and Brittain <DOI:10.1002/sim.6905>]. Has two-sample tests for dissimilarity (e.g., difference, ratio or odds ratio) in survival at a fixed time, and differences in medians [Fay, Proschan, and Brittain <DOI:10.1111/biom.12231>]. Basically, the package gives exact inference methods for one- and two-sample exact inferences for Kaplan-Meier curves (e.g., generalizing Fisher's exact test to allow for right censoring), which are especially important for latter parts of the survival curve, small sample sizes or heavily censored data. Includes mid-p options.
Author: Michael P. Fay [aut, cre], Allyson Mateja [ctb], Megan Grieco [ctb]
Maintainer: Michael P. Fay <mfay@niaid.nih.gov>

Diff between bpcp versions 1.5.4 dated 2026-07-21 and 1.5.5 dated 2026-07-22

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More information about bpcp at CRAN
Permanent link

Package BioMonTools updated to version 1.3.1 with previous version 1.2.4 dated 2025-10-09

Title: Biomonitoring and Bioassessment Calculations
Description: An aid for manipulating data associated with biomonitoring and bioassessment. Calculations include metric calculation, marking of excluded taxa, subsampling, and multimetric index calculation. Targeted communities are benthic macroinvertebrates, fish, periphyton, and coral. As described in the Revised Rapid Bioassessment Protocols (Barbour et al. 1999) <https://archive.epa.gov/water/archive/web/html/index-14.html>.
Author: Erik W. Leppo [aut, cre] , Jen Stamp [ctb], John van Sickles [ctb], Ben Block [ctb]
Maintainer: Erik W. Leppo <Erik.Leppo@tetratech.com>

Diff between BioMonTools versions 1.2.4 dated 2025-10-09 and 1.3.1 dated 2026-07-22

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More information about BioMonTools at CRAN
Permanent link

Package xtife updated to version 0.1.4 with previous version 0.1.3 dated 2026-04-21

Title: Interactive Fixed Effects Estimator for Panel Data
Description: Implements the interactive fixed effects ('IFE') panel estimator of Bai (2009) <doi:10.3982/ECTA6135> for balanced and unbalanced panels, with optional additive unit and/or time fixed effects. Provides analytical standard errors ('homoskedastic', 'HC1' heteroskedasticity-robust, cluster-robust by unit, and heteroskedasticity- and autocorrelation- consistent), together with asymptotic incidental-parameter bias correction for large panels, including a dynamic extension for predetermined (lagged-dependent) regressors following Moon and Weidner (2017) <doi:10.1017/S0266466615000328>. The number of factors is chosen by information criteria (Bai and Ng 2002 <doi:10.1111/1468-0262.00273>) or by singular value thresholding. Unbalanced panels are handled by an expectation-maximisation algorithm with nuclear-norm-regularised initialisation, with estimation, analytical inference, and bias correction following Su, Wang and Wang (2025) <doi:10.2139/ssrn.5177283> and building [...truncated...]
Author: Binzhi Chen [aut, cre]
Maintainer: Binzhi Chen <Binzhi.Chen9@gmail.com>

Diff between xtife versions 0.1.3 dated 2026-04-21 and 0.1.4 dated 2026-07-22

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More information about xtife at CRAN
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Package MLCOPULA readmission to version 1.1.1 with previous version 1.1.0 dated 2025-09-19

Title: Classification Models with Copula Functions
Description: Provides several classifiers based on probabilistic models. These classifiers allow to model the dependence structure of continuous features through bivariate copula functions and graphical models, see Salinas-Gutiérrez et al. (2014) <doi:10.1007/s00180-013-0457-y>.
Author: Rogelio Salinas Gutierrez [aut, cre, cph] , Angelica Hernandez Quintero [aut, cph] , Pedro Abraham Montoya Calzada [aut, cph] , Carlos Alberto Lopez Hernandez [aut, cph] , Juan Manuel Marquez Romero [aut, cph]
Maintainer: Rogelio Salinas Gutierrez <rogelio.salinas@edu.uaa.mx>

This is a re-admission after prior archival of version 1.1.0 dated 2025-09-19

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Package frbs updated to version 3.3-0 with previous version 3.2-0 dated 2019-12-15

Title: Fuzzy Rule-Based Systems for Classification and Regression Tasks
Description: An implementation of various learning algorithms based on fuzzy rule-based systems (FRBSs) for dealing with classification and regression tasks. Moreover, it allows to construct an FRBS model defined by human experts. FRBSs are based on the concept of fuzzy sets, proposed by Zadeh in 1965, which aims at representing the reasoning of human experts in a set of IF-THEN rules, to handle real-life problems in, e.g., control, prediction and inference, data mining, bioinformatics data processing, and robotics. FRBSs are also known as fuzzy inference systems and fuzzy models. During the modeling of an FRBS, there are two important steps that need to be conducted: structure identification and parameter estimation. Nowadays, there exists a wide variety of algorithms to generate fuzzy IF-THEN rules automatically from numerical data, covering both steps. Approaches that have been used in the past are, e.g., heuristic procedures, neuro-fuzzy techniques, clustering methods, genetic algorithms, squar [...truncated...]
Author: Lala Septem Riza [aut], Christoph Bergmeir [aut, cre], Francisco Herrera [aut], Jose Manuel Benitez [aut]
Maintainer: Christoph Bergmeir <c.bergmeir@decsai.ugr.es>

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Package barry updated to version 0.2.2 with previous version 0.2.1 dated 2025-12-01

Title: Your Go-to Motif Accountant
Description: Provides the 'C++' header-only library 'barry' for use in R packages. 'barry' is a 'C++' template library for counting sufficient statistics on binary arrays and building discrete exponential-family models. It provides tools for sparse arrays, user-defined count statistics, support set constraints, power set generation, and includes modules for Discrete Exponential Family Models (DEFMs) and network statistics. By placing these headers in this package, we offer an efficient distribution system for CRAN as replication of this code in the sources of other packages is avoided. This package follows the same approach as the 'BH' package which provides 'Boost' headers for R packages.
Author: George Vega Yon [aut, cre] , U.S. Army Medical Research Acquisition Activity [fnd] , National Cancer Institute [fnd]
Maintainer: George Vega Yon <g.vegayon@gmail.com>

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Package weightflow updated to version 0.2.0 with previous version 0.1.0 dated 2026-06-30

Title: Declarative API for Staged Survey Weights
Description: Builds survey weights from design base weights by chaining hierarchical adjustments (unknown eligibility, nonresponse and calibration) through a declarative, pipeable, 'tidymodels'-style API. Calibration follows Deville and Sarndal (1992) <doi:10.2307/2290268>. Variances are obtained with a bootstrap that resamples primary sampling units and re-applies the whole recipe on each replicate, following the rescaling bootstrap of Rao and Wu (1988) <doi:10.1080/01621459.1988.10478591>, so the replicate weights carry the variability of every adjustment. The weights also bridge to the 'survey' and 'srvyr' packages for design-based inference.
Author: Juan Pablo Ferreira [aut, cre]
Maintainer: Juan Pablo Ferreira <juanpablo.ferreira@fcea.edu.uy>

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Package starburst updated to version 0.3.9 with previous version 0.3.8 dated 2026-03-19

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>

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Package qif updated to version 1.5.1 with previous version 1.5 dated 2019-07-20

Title: Quadratic Inference Function
Description: Developed to perform the estimation and inference for regression coefficient parameters in longitudinal marginal models using the method of quadratic inference functions. Like generalized estimating equations, this method is also a quasi-likelihood inference method. It has been showed that the method gives consistent estimators of the regression coefficients even if the correlation structure is misspecified, and it is more efficient than GEE when the correlation structure is misspecified. Based on Qu, A., Lindsay, B.G. and Li, B. (2000) <doi:10.1093/biomet/87.4.823>.
Author: Zhichang Jiang [aut], Peter Song [aut], Michael Kleinsasser [cre]
Maintainer: Michael Kleinsasser <biostat-cran-manager@umich.edu>

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Package OhdsiShinyAppBuilder updated to version 1.1.0 with previous version 1.0.0 dated 2024-12-10

Title: Viewing Observational Health Data Sciences and Informatics Results via 'shiny' Modules
Description: Users can build a single 'shiny' app for exploring population characterization, population-level causal effect estimation, and patient-level prediction results generated via the R analyses packages in 'HADES' (see <https://ohdsi.github.io/Hades/>). Learn more about 'OhdsiShinyAppBuilder' at <https://ohdsi.github.io/OhdsiShinyAppBuilder/>.
Author: Jenna Reps [aut, cre], Nathan Hall [aut], Josh Ide [aut], Jamie Gibert [aut]
Maintainer: Jenna Reps <jreps@its.jnj.com>

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Package mlpack updated to version 4.8.0-1 with previous version 4.8.0 dated 2026-07-16

Title: 'Rcpp' Integration for the 'mlpack' Library
Description: A fast, flexible machine learning library, written in C++, that aims to provide fast, extensible implementations of cutting-edge machine learning algorithms. See also Curtin et al. (2023) <doi:10.21105/joss.05026>.
Author: Yashwant Singh Parihar [aut, ctb, cph], Ryan Curtin [aut, ctb, cph, cre], Dirk Eddelbuettel [aut, ctb, cph], James Balamuta [aut, ctb, cph], Bill March [ctb, cph], Dongryeol Lee [ctb, cph], Nishant Mehta [ctb, cph], Parikshit Ram [ctb, cph], James Cl [...truncated...]
Maintainer: Ryan Curtin <ryan@ratml.org>

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Package ipeadatar updated to version 0.2.1 with previous version 0.2.0 dated 2026-05-28

Title: API Wrapper for 'Ipeadata'
Description: Provides direct access to the macroeconomic, financial, and regional database maintained by the Institute for Applied Economic Research (Ipea) via the Ipeadata API. For more information, see <https://www.ipeadata.gov.br/>.
Author: Luiz Eduardo Gomes [aut, cre] , Daniel Herszenhut [ctb] , Instituto de Pesquisa Economica Aplicada [cph, fnd]
Maintainer: Luiz Eduardo Gomes <luiz.gomes@ipea.gov.br>

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Package hubEvals updated to version 0.4.0 with previous version 0.3.1 dated 2026-07-17

Title: Tools for Scoring and Evaluating Hubverse Model Outputs
Description: Provides tools for scoring and evaluating 'hubverse' model outputs against observed data, wrapping scoring workflows from the 'scoringutils' package and bridging hubverse model output formats to 'scoringutils' forecast classes.
Author: Anna Krystalli [aut, cre] , Nicholas Reich [aut] , Evan Ray [aut], Nikos Bosse [aut] , Kimberlyn Roosa [aut], Zhian Kamvar [ctb] , Li Shandross [ctb] , Becky Sweger [ctb], Lucie Contamin [ctb], Consortium of Infectious Disease Modeling Hubs [cph]
Maintainer: Anna Krystalli <annakrystalli@googlemail.com>

Diff between hubEvals versions 0.3.1 dated 2026-07-17 and 0.4.0 dated 2026-07-22

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Package gpboost updated to version 1.7.1 with previous version 1.7.0.1 dated 2026-07-13

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

Diff between gpboost versions 1.7.0.1 dated 2026-07-13 and 1.7.1 dated 2026-07-22

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Package ff updated to version 4.5.3 with previous version 4.5.2 dated 2025-01-12

Title: Memory-Efficient Storage of Large Data on Disk and Fast Access Functions
Description: The ff package provides data structures that are stored on disk but behave (almost) as if they were in RAM by transparently mapping only a section (pagesize) in main memory - the effective virtual memory consumption per ff object. ff supports R's standard atomic data types 'double', 'logical', 'raw' and 'integer' and non-standard atomic types boolean (1 bit), quad (2 bit unsigned), nibble (4 bit unsigned), byte (1 byte signed with NAs), ubyte (1 byte unsigned), short (2 byte signed with NAs), ushort (2 byte unsigned), single (4 byte float with NAs). For example 'quad' allows efficient storage of genomic data as an 'A','T','G','C' factor. The unsigned types support 'circular' arithmetic. There is also support for close-to-atomic types 'factor', 'ordered', 'POSIXct', 'Date' and custom close-to-atomic types. ff not only has native C-support for vectors, matrices and arrays with flexible dimorder (major column-order, major row-order and generalizations for arrays). There is also a ffdf cla [...truncated...]
Author: Daniel Adler [aut], Christian Glaeser [ctb], Oleg Nenadic [ctb], Jens Oehlschlaegel [aut, cre], Martijn Schuemie [ctb], Walter Zucchini [ctb]
Maintainer: Jens Oehlschlaegel <Jens.Oehlschlaegel@truecluster.com>

Diff between ff versions 4.5.2 dated 2025-01-12 and 4.5.3 dated 2026-07-22

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Package fdaSP updated to version 1.1.3 with previous version 1.1.2 dated 2026-04-27

Title: Sparse Functional Data Analysis Methods
Description: Provides algorithms to fit linear regression models under several popular penalization techniques and functional linear regression models based on Majorizing-Minimizing (MM) and Alternating Direction Method of Multipliers (ADMM) techniques. See Boyd et al (2010) <doi:10.1561/2200000016> for complete introduction to the method.
Author: Mauro Bernardi [aut, cre], Marco Stefanucci [aut], Antonio Canale [ctb]
Maintainer: Mauro Bernardi <mauro.bernardi@unipd.it>

Diff between fdaSP versions 1.1.2 dated 2026-04-27 and 1.1.3 dated 2026-07-22

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Package copBasic updated to version 2.2.15 with previous version 2.2.14 dated 2026-05-22

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

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Package zmctp updated to version 0.1.2 with previous version 0.1.1 dated 2026-07-09

Title: Zero-Modified Complex 'Tri-Parametric' Pearson Distribution for Overdispersed Count Data
Description: Implements zero-modified versions of the Complex 'Tri-Parametric' Pearson distribution for overdispersed count data. The package addresses limitations of existing implementations when the parameter b approaches zero. It provides distribution functions, maximum likelihood estimation, and diagnostic tools for modeling count data with excess zeros. The methodology is based on 'Rodriguez-Avi' and coauthors (2003) <doi:10.1007/s00362-002-0134-7>.
Author: Rasheedat Oladoja [aut, cre]
Maintainer: Rasheedat Oladoja <roladoja@ttu.edu>

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Package doseminer readmission to version 0.2.1 with previous version 0.1.2 dated 2021-07-19

Title: Extract Drug Dosages from Free-Text Prescriptions
Description: Utilities for converting unstructured electronic prescribing instructions into structured medication data. Extracts drug dose, units, daily dosing frequency and intervals from English-language prescriptions. Based on Karystianis et al. (2015) <doi:10.1186/s12911-016-0255-x>.
Author: David Selby [aut, cre] , Belay Birlie Yimer [ctb], Ben Marwick [ctb]
Maintainer: David Selby <david_antony.selby@dfki.de>

This is a re-admission after prior archival of version 0.1.2 dated 2021-07-19

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Package TDLM updated to version 1.1.4 with previous version 1.1.3 dated 2025-10-03

Title: Systematic Comparison of Trip Distribution Laws and Models
Description: The main purpose of this package is to propose a rigorous framework to fairly compare trip distribution laws and models as described in Lenormand et al. (2016) <doi:10.1016/j.jtrangeo.2015.12.008>.
Author: Maxime Lenormand [aut, cre]
Maintainer: Maxime Lenormand <maxime.lenormand@inrae.fr>

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Package SlimR updated to version 1.1.7 with previous version 1.1.6 dated 2026-06-30

Title: Adaptive Machine Learning-Powered, Context-Matching Tool for Single-Cell and Spatial Transcriptomics Annotation
Description: Annotates single-cell and spatial-transcriptomic (ST) data using context-matching marker datasets. It creates a unified marker list (`Markers_list`) from multiple sources: built-in curated databases ('Cellmarker2', 'PanglaoDB', 'ScType', 'scIBD', 'TCellSI', 'PCTIT', 'PCTAM'), Seurat objects with cell labels, or user-provided Excel tables. SlimR first uses adaptive machine learning for parameter optimization, and then offers two automated annotation approaches: 'cluster-based' and 'per-cell'. Cluster-based annotation assigns one label per cluster, expression-based probability calculation, and AUC validation. Per-cell annotation assigns labels to individual cells using three scoring methods with adaptive thresholds and ratio-based confidence filtering, plus optional UMAP spatial smoothing, making it ideal for heterogeneous clusters and rare cell types. The package also supports semi-automated workflows with heatmaps, feature plots, and combined visualizations for manual annotation. For m [...truncated...]
Author: Zhaoqing Wang [aut, cre]
Maintainer: Zhaoqing Wang <zhaoqingwang@mail.sdu.edu.cn>

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

Title: R Client for the BIODATACR Biodiversity Data Platform of Costa Rica
Description: Provides functions to query occurrence records, species information, and datasets from BIODATACR <https://biodiversidad.go.cr>, the national biodiversity information platform of Costa Rica managed by the Technical Office of CONAGEBIO. Built on the Atlas of Living Australia (ALA) API infrastructure.
Author: Manuel Spinola [aut, cre]
Maintainer: Manuel Spinola <mspinola10@gmail.com>

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Package pak updated to version 0.11.1 with previous version 0.11.0 dated 2026-07-15

Title: Another Approach to Package Installation
Description: The goal of 'pak' is to make package installation faster and more reliable. In particular, it performs all HTTP operations in parallel, so metadata resolution and package downloads are fast. Metadata and package files are cached on the local disk as well. 'pak' has a dependency solver, so it finds version conflicts before performing the installation. This version of 'pak' supports CRAN, 'Bioconductor' and 'GitHub' packages as well.
Author: Gabor Csardi [aut, cre], Jim Hester [aut], Posit Software, PBC [cph, fnd] , Winston Chang [ctb] , Ascent Digital Services [cph, fnd] , Hadley Wickham [ctb, cph] , Jeroen Ooms [ctb] , Maelle Salmon [ctb] , Duncan Temple Lang [ctb] , Lloyd Hilaiel [cph [...truncated...]
Maintainer: Gabor Csardi <csardi.gabor@gmail.com>

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More information about pak at CRAN
Permanent link

Package MRS readmission to version 1.3.2 with previous version 1.2.6 dated 2023-12-11

Title: Multi-Resolution Scanning for Cross-Sample and Cross-Group Differences
Description: Implements the multi-resolution scanning (MRS) method for cross-sample distribution comparisons, as described in Soriano and Ma (2017) <doi:10.1111/rssb.12180>, and the analysis of distributional variation (ANDOVA) method for cross-group comparisons introduced in Ma and Soriano (2018) <doi:10.1080/10618600.2017.1402774>. Both methods use nonparametric models on multi-resolution partition trees to detect and characterize differences among distributions, with tools for visualizing the results.
Author: Jacopo Soriano [aut], Li Ma [aut, cre]
Maintainer: Li Ma <mastatlab@gmail.com>

This is a re-admission after prior archival of version 1.2.6 dated 2023-12-11

Diff between MRS versions 1.2.6 dated 2023-12-11 and 1.3.2 dated 2026-07-22

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More information about MRS at CRAN
Permanent link

Package Luminescence updated to version 1.3.0 with previous version 1.2.1 dated 2026-03-25

Title: Comprehensive Luminescence Dating Data Analysis
Description: A collection of various R functions for the purpose of Luminescence dating data analysis. This includes, amongst others, data import, export, application of age models, curve deconvolution, sequence analysis and plotting of equivalent dose distributions.
Author: Sebastian Kreutzer [aut, trl, cre, dtc] , Christoph Burow [aut, trl, dtc] , Michael Dietze [aut] , Margret C. Fuchs [aut] , Christoph Schmidt [aut] , Manfred Fischer [aut, trl], Johannes Friedrich [aut] , Norbert Mercier [aut] , Rachel K. Smedley [ct [...truncated...]
Maintainer: Sebastian Kreutzer <maintainer_luminescence@r-luminescence.org>

Diff between Luminescence versions 1.2.1 dated 2026-03-25 and 1.3.0 dated 2026-07-22

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Package geocodebr updated to version 0.6.4 with previous version 0.6.3 dated 2026-05-24

Title: Geolocalização De Endereços Brasileiros (Geocoding Brazilian Addresses)
Description: Método simples e eficiente de geolocalizar dados no Brasil. O pacote é baseado em conjuntos de dados espaciais abertos de endereços brasileiros, utilizando como fonte principal o Cadastro Nacional de Endereços para Fins Estatísticos (CNEFE). O CNEFE é publicado pelo Instituto Brasileiro de Geografia e Estatística (IBGE), órgão oficial de estatísticas e geografia do Brasil. (A simple and efficient method for geolocating data in Brazil. The package is based on open spatial datasets of Brazilian addresses, primarily using the Cadastro Nacional de Endereços para Fins Estatísticos (CNEFE), published by the Instituto Brasileiro de Geografia e Estatística (IBGE), Brazil's official statistics and geography agency.)
Author: Rafael H. M. Pereira [aut, cre] , Daniel Herszenhut [aut] , Gabriel Garcia de Almeida [aut] , Arthur Bazolli [ctb], Pedro Milreu Cunha [ctb], ITpS - Instituto Todos pela Saude [fnd], Ipea - Instituto de Pesquisa Economica Aplicada [cph, fnd]
Maintainer: Rafael H. M. Pereira <rafa.pereira.br@gmail.com>

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Package fluxible updated to version 1.4.0 with previous version 1.3.6 dated 2026-02-05

Title: Ecosystem Gas Fluxes Calculations for Closed Loop Chamber Setup
Description: Toolbox to process raw data from closed loop flux chamber (or tent) setups into ecosystem gas fluxes usable for analysis. It goes from a data frame of gas concentration over time (which can contain several measurements) and a meta data file indicating which measurement was done when, to a data frame of ecosystem gas fluxes including quality diagnostics. Organized with one function per step, maximizing user flexibility and backwards compatibility. Different models to estimate the fluxes from the raw data are available: exponential as described in Zhao et al (2018) <doi:10.1016/j.agrformet.2018.08.022>, exponential as described in Hutchinson and Mosier (1981) <doi:10.2136/sssaj1981.03615995004500020017x>, quadratic, and linear. Other functions include quality assessment, plotting for visual check, calculation of fluxes based on the setup specific parameters (chamber size, plot area, ...), gross primary production and transpiration rate calculation, and light response curves.
Author: Joseph Gaudard [aut, cre] , Richard James Telford [aut]
Maintainer: Joseph Gaudard <joseph.gaudard@pm.me>

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Package elect updated to version 1.2.1 with previous version 1.2 dated 2019-04-03

Title: Estimation of Life Expectancies Using Multi-State Models
Description: Functions to compute state-specific and marginal life expectancies. The computation is based on a fitted continuous-time multi-state model that includes an absorbing death state; see Van den Hout (2017, ISBN:9781466568402). The fitted multi-state model model should be estimated using the 'msm' package using age as the time-scale.
Author: Ardo van den Hout [aut, cre], Mei Sum Chan [aut]
Maintainer: Ardo van den Hout <ardo.vandenhout@ucl.ac.uk>

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Package ebrahim.gof updated to version 2.4.0 with previous version 2.1.0 dated 2026-06-17

Title: Goodness-of-Fit and Calibration Tests for Logistic Regression
Description: Provides a unified battery of goodness-of-fit and calibration tests for binary logistic regression, runnable in a single call via 'run.all.gof()'. The package introduces the author's own tests aimed at sparse data --- the omnibus Ebrahim-Farrington (EF) test, the Directed EF ('EDGE') test that targets smooth calibration-shape departures, and a Cauchy-combination ensemble --- and aggregates a wide range of classical and modern tests for comparison, including Hosmer-Lemeshow, McCullagh, Osius-Rojek, le Cessie-van Houwelingen, Stute-Zhu, the binary-adaptive 'BAGofT' test, and the 'GiViTI' calibration test (each obtained from its own package, where installed, and attributed to its authors). The tools are particularly suited to sparse data, where the Hosmer-Lemeshow test loses power. For more details see Hosmer (1980) <doi:10.1080/03610928008827941> and Farrington (1996) <doi:10.1111/j.2517-6161.1996.tb02086.x>.
Author: Ebrahim Khaled Ebrahim [aut, cre]
Maintainer: Ebrahim Khaled Ebrahim <ebrahimkhaled@alexu.edu.eg>

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Package COMPoissonReg updated to version 0.8.2 with previous version 0.8.1 dated 2023-11-29

Title: Conway-Maxwell Poisson (COM-Poisson) Regression
Description: Fit Conway-Maxwell Poisson (COM-Poisson or CMP) regression models to count data (Sellers & Shmueli, 2010) <doi:10.1214/09-AOAS306>. The package provides functions for model estimation, dispersion testing, and diagnostics. Zero-inflated CMP regression (Sellers & Raim, 2016) <doi:10.1016/j.csda.2016.01.007> is also supported.
Author: Kimberly Sellers [aut], Thomas Lotze [aut], Andrew Raim [cre, aut]
Maintainer: Andrew Raim <andrew.raim@gmail.com>

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Package nuggets updated to version 2.2.2 with previous version 2.2.1 dated 2026-06-10

Title: Extensible Framework for Data Pattern Exploration
Description: A framework for systematic exploration of association rules (Agrawal et al., 1994, <https://www.vldb.org/conf/1994/P487.PDF>), contrast patterns (Chen, 2022, <doi:10.48550/arXiv.2209.13556>), emerging patterns (Dong et al., 1999, <doi:10.1145/312129.312191>), subgroup discovery (Atzmueller, 2015, <doi:10.1002/widm.1144>), and conditional correlations (Hájek, 1978, <doi:10.1007/978-3-642-66943-9>). User-defined functions may also be supplied to guide custom pattern searches. Supports both crisp (Boolean) and fuzzy data. Generates candidate conditions expressed as elementary conjunctions, evaluates them on a dataset, and inspects the induced sub-data for statistical, logical, or structural properties such as associations, correlations, or contrasts. Includes methods for visualization of logical structures and supports interactive exploration through integrated Shiny applications.
Author: Michal Burda [aut, cre]
Maintainer: Michal Burda <michal.burda@osu.cz>

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Package lwc2022 updated to version 1.0.1 with previous version 1.0.0 dated 2024-11-20

Title: Langa-Weir Classification of Cognitive Function for 2022 HRS Data
Description: Generates the Langa-Weir classification of cognitive function for the 2022 Health and Retirement Study (HRS) cognition data. It is particularly useful for researchers studying cognitive aging who wish to work with the most recent release of HRS data. The package provides user-friendly functions for data preprocessing, scoring, and classification allowing users to easily apply the Langa-Weir classification system. For details regarding the; HRS <https://hrsdata.isr.umich.edu/> and Langa-Weir classifications <https://hrsdata.isr.umich.edu/data-products/langa-weir-classification-cognitive-function-1995-2022>.
Author: Cormac Monaghan [cph, aut, cre] , Rafael de Andrade Moral [aut] , Joanna McHugh Power [aut]
Maintainer: Cormac Monaghan <cormacmonaghan@protonmail.com>

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Package flint updated to version 0.1.5 with previous version 0.1.4 dated 2025-12-19

Title: Fast Library for Number Theory
Description: An R interface to 'FLINT' <https://flintlib.org/>, a C library for number theory. 'FLINT' extends GNU 'MPFR' <https://www.mpfr.org/> and GNU 'MP' <https://gmplib.org/> with support for operations on standard rings (the integers, the integers modulo n, finite fields, the rational, p-adic, real, and complex numbers) as well as matrices and polynomials over rings. 'FLINT' implements midpoint-radius interval arithmetic, also known as ball arithmetic, in the real and complex numbers, enabling computation in arbitrary precision with rigorous propagation of rounding and other errors; see Johansson (2017) <doi:10.1109/TC.2017.2690633>. Finally, 'FLINT' provides ball arithmetic implementations of many special mathematical functions, with high coverage of reference works such as the NIST Digital Library of Mathematical Functions <https://dlmf.nist.gov/>. The R interface defines S4 classes, generic functions, and methods for representation and basic operations as [...truncated...]
Author: Mikael Jagan [aut, cre] , Martin Maechler [ctb]
Maintainer: Mikael Jagan <jaganmn2@gmail.com>

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Package cooccure updated to version 0.4.0 with previous version 0.1.1 dated 2026-04-24

Title: Co-Occurrence Network Construction and Manipulation
Description: Constructs co-occurrence networks from several types of input data, such as delimited fields, long/bipartite tables, binary matrices, or wide sequences. Returns tidy edge data frames and supports optional scaling, splitting into several networks, thresholding, and subsetting. Provides eight similarity measures, including Jaccard, cosine, and association strength. Supports export to several network and file formats. Network construction and analysis methods follow Saqr, Lopez-Pernas, Conde, and Hernandez-Garcia (2024, <doi:10.1007/978-3-031-54464-4_15>).
Author: Mohammed Saqr [aut, cre, cph], Sonsoles Lopez-Pernas [aut, cph], Kamila Misiejuk [aut, cph]
Maintainer: Mohammed Saqr <saqr@saqr.me>

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Package vcvComp updated to version 1.0.3 with previous version 1.0.2 dated 2020-12-17

Title: Comparison of Variance - Covariance Patterns
Description: Comparison of variance - covariance patterns using relative principal component analysis (relative eigenanalysis), as described in Le Maitre and Mitteroecker (2019) <doi:10.1111/2041-210X.13253>. Also provides functions to compute group covariance matrices, distance matrices, and perform proportionality tests. A worked sample on the body shape of cichlid fishes is included, based on the dataset from Kerschbaumer et al. (2013) <doi:10.5061/dryad.fc02f>.
Author: Anne Le Maitre [aut, cre] , Philipp Mitteroecker [aut]
Maintainer: Anne Le Maitre <anne.le.maitre@univie.ac.at>

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Package RTMBdist readmission to version 1.0.5 with previous version 1.0.4 dated 2026-04-09

Title: Distributions Compatible with Automatic Differentiation by 'RTMB'
Description: Extends the functionality of the 'RTMB' <https://kaskr.r-universe.dev/RTMB> package by providing a collection of non-standard probability distributions compatible with automatic differentiation (AD). While 'RTMB' enables flexible and efficient modelling, including random effects, its built-in support is limited to standard distributions. The package adds additional AD-compatible distributions, broadening the range of models that can be implemented and estimated using 'RTMB'. Automatic differentiation and Laplace approximation are described in Kristensen et al. (2016) <doi:10.18637/jss.v070.i05>.
Author: Jan-Ole Fischer [aut, cre]
Maintainer: Jan-Ole Fischer <jan-ole.fischer@mailbox.org>

This is a re-admission after prior archival of version 1.0.4 dated 2026-04-09

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Package NPHazardRate updated to version 0.3 with previous version 0.1 dated 2018-11-02

Title: Nonparametric Hazard Rate Estimation
Description: Provides functions and examples for histogram, kernel (classical, variable bandwidth and transformations based, see e.g. Bagkavos (2008), <doi:10.1080/10485250802440184>, discrete and semiparametric hazard rate estimators.
Author: Dimitrios Bagkavos [aut, cre]
Maintainer: Dimitrios Bagkavos <dimitrios.bagkavos@gmail.com>

Diff between NPHazardRate versions 0.1 dated 2018-11-02 and 0.3 dated 2026-07-22

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Package fntl updated to version 0.1.3 with previous version 0.1.2 dated 2024-11-12

Title: Numerical Tools for 'Rcpp' and Lambda Functions
Description: Provides a 'C++' API for routinely used numerical tools such as integration, root-finding, and optimization, where function arguments are given as lambdas. This facilitates 'Rcpp' programming, enabling the development of 'R'-like code in 'C++' where functions can be defined on the fly and use variables in the surrounding environment.
Author: Andrew M. Raim [aut, cre]
Maintainer: Andrew M. Raim <andrew.raim@gmail.com>

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Package eVCGsampler updated to version 1.1.2 with previous version 1.1.0 dated 2026-07-06

Title: VCG Sampling using Energy-Based Covariate Balancing
Description: Provides a principled framework for sampling Virtual Control Group (VCG) using energy distance-based covariate balancing. The package offers visualization tools to assess covariate balance and includes a permutation test to evaluate the statistical significance of observed deviations.
Author: Andreas Schulz [aut, cre] , Sanofi [cph, fnd]
Maintainer: Andreas Schulz <andreas.schulz2@sanofi.com>

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Package RStoolbox updated to version 1.0.2.3 with previous version 1.0.2.2 dated 2025-10-02

Title: Remote Sensing Data Analysis
Description: Toolbox for remote sensing image processing and analysis such as calculating spectral indexes, principal component transformation, unsupervised and supervised classification or fractional cover analyses.
Author: Benjamin Leutner [aut] , Ned Horning [aut], Jakob Schwalb-Willmann [aut] , Robert J. Hijmans [ctb] , Konstantin Mueller [aut, cre]
Maintainer: Konstantin Mueller <konstantinfinn.mueller@gmx.de>

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Package ggmlR updated to version 0.8.2 with previous version 0.8.1 dated 2026-07-13

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

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Package hassediagrams updated to version 2.1 with previous version 2.0 dated 2026-01-17

Title: Hasse Diagram of the Layout Structure and Restricted Layout Structure
Description: Returns a Hasse diagram of the layout structure (Bate and Chatfield (2016)) <doi:10.1080/00224065.2016.11918173> or the restricted layout structure (Bate and Chatfield (2016)) <doi:10.1080/00224065.2016.11918174> of an experimental design.
Author: Damianos Michaelides [aut, cre], Simon Bate [aut], Marion Chatfield [aut]
Maintainer: Damianos Michaelides <dm3g15@soton.ac.uk>

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Package graphlayouts updated to version 1.2.5 with previous version 1.2.4 dated 2026-06-19

Title: Additional Layout Algorithms for Network Visualizations
Description: Several new layout algorithms to visualize networks are provided which are not part of 'igraph'. Most are based on the concept of stress majorization by Gansner et al. (2004) <doi:10.1007/978-3-540-31843-9_25>. Some more specific algorithms allow the user to emphasize hidden group structures in networks or focus on specific nodes.
Author: David Schoch [aut, cre]
Maintainer: David Schoch <david@schochastics.net>

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Package dtms updated to version 0.5.0 with previous version 0.4.2 dated 2026-02-25

Title: Discrete-Time Multistate Models
Description: Discrete-time multistate models with a user-friendly workflow. The package provides tools for processing data, several ways of estimating parametric and nonparametric multistate models, and an extensive set of Markov chain methods which use transition probabilities derived from the multistate model. Some of the implemented methods are described in Schneider et al. (2024) <doi:10.1080/00324728.2023.2176535>, Dudel (2021) <doi:10.1177/0049124118782541>, Dudel & Myrskylä (2020) <doi:10.1186/s12963-020-00217-0>, van den Hout (2017) <doi:10.1201/9781315374321>.
Author: Christian Dudel [aut, cre]
Maintainer: Christian Dudel <dudel@demogr.mpg.de>

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Package alternativeROC updated to version 1.0.5 with previous version 1.0.4 dated 2025-11-24

Title: Alternative and Fast ROC Analysis
Description: Alternative and fast algorithms for the analysis of receiver operating characteristics curves (ROC curves) as described in Thomas et al. (2017) <doi:10.1186/s41512-017-0017-y> and Thomas et al. (2023) <doi:10.1016/j.ajogmf.2023.101110>.
Author: Gregoire Thomas [aut, cre] , Robin Tuytten [ctb] , Jef Moerman [ctb], Xavier Robin [cph] , Stefan Siegert [cph]
Maintainer: Gregoire Thomas <gregoire.thomas@SQU4RE.com>

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Package lstar updated to version 0.2.1 with previous version 0.1.0 dated 2026-06-22

Title: Uniform Data Model and 'Zarr' Interchange for Single-Cell Omics
Description: A lightweight interchange layer for single-cell and spatial omics data, built on the L-star model of labelled axes and typed fields over them, serialized to the 'Zarr' format. Provides bidirectional converters ("profiles") for 'Seurat', 'SingleCellExperiment', 'Conos', and 'pagoda2' objects, including collections of heterogeneous samples, via a shared C++ core ('libstar') so the same store is readable from R, 'Python', and C++.
Author: Peter Kharchenko [aut, cre]
Maintainer: Peter Kharchenko <pk.restricted@gmail.com>

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Package kardl updated to version 2.0.5 with previous version 2.0.4 dated 2026-07-17

Title: Make Symmetric and Asymmetric ARDL Estimations
Description: Implements estimation procedures for Autoregressive Distributed Lag (ARDL) and Nonlinear ARDL (NARDL) models, which allow researchers to investigate both short- and long-run relationships in time series data under mixed orders of integration. The package supports simultaneous modeling of symmetric and asymmetric regressors, flexible treatment of short-run and long-run asymmetries, and automated equation handling. It includes several cointegration testing approaches such as the Pesaran-Shin-Smith F and t bounds tests, and narayan test. Methodological foundations are provided in Pesaran, Shin, and Smith (2001) <doi:10.1016/S0304-4076(01)00049-5> and Shin, Yu, and Greenwood-Nimmo (2014, ISBN:9780123855079).
Author: Huseyin karamelikli [aut, cre] , Huseyin Utku Demir [aut]
Maintainer: Huseyin karamelikli <hakperest@gmail.com>

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Package gert updated to version 2.4.0 with previous version 2.3.1 dated 2026-01-11

Title: Simple Git Client for R
Description: Simple git client for R based on 'libgit2' <https://libgit2.org> with support for SSH and HTTPS remotes. All functions in 'gert' use basic R data types (such as vectors and data-frames) for their arguments and return values. User credentials are shared with command line 'git' through the git-credential store and ssh keys stored on disk or ssh-agent.
Author: Jeroen Ooms [aut, cre] , Maelle Salmon [aut] , Jennifer Bryan [ctb]
Maintainer: Jeroen Ooms <jeroenooms@gmail.com>

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New package synadam with initial version 0.3.3
Package: synadam
Title: Generate Synthetic ADaM Datasets
Version: 0.3.3
Description: Generates synthetic ADaM (Analysis Data Model) datasets from real clinical trial data. Preserves the structure of real datasets (column names, value ranges, relationships between treatment and flag columns) while removing identifiable patient information. Supports subject-level (ADSL), longitudinal (BDS), occurrence (OCCDS), and time-to-event (TTE) dataset types.
License: MIT + file LICENSE
URL: https://github.com/Novartis/synadam
BugReports: https://github.com/Novartis/synadam/issues
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: checkmate, dplyr, glue, haven, rlang, stats, tidyr, tools, utils, yaml
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-07-10 13:17:29 UTC; ZHANGD1Q
Author: David Zhang [aut, cre], Thibaud Coroller [ctb], Peter Krusche [ctb], Chengyang Gao [ctb], Novartis AG [cph]
Maintainer: David Zhang <david-1.zhang@novartis.com>
Repository: CRAN
Date/Publication: 2026-07-22 08:30:02 UTC

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New package rpanelrev with initial version 1.0.0
Package: rpanelrev
Title: Reverse the Order of Values of Time Series and Multidimensional Panels
Version: 1.0.0
Description: Reverses the order of values of selected variables in time series and multidimensional panels, either by replacing the original values or by creating new variables with prefixed names. Optionally evaluates user-supplied pre-estimation, estimation, and post-estimation functions using the transformed data.
Language: en-US
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.3)
Suggests: testthat (>= 3.0.0)
URL: https://github.com/econcz/rpanelrev
BugReports: https://github.com/econcz/rpanelrev/issues
NeedsCompilation: no
Packaged: 2026-07-14 23:07:07 UTC; ilyabolotov
Author: Ilya Bolotov [aut, cre]
Maintainer: Ilya Bolotov <ilya.bolotov@vse.cz>
Repository: CRAN
Date/Publication: 2026-07-22 08:40:02 UTC

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Package PrInDT updated to version 2.0.3 with previous version 2.0.2 dated 2025-09-11

Title: Prediction and Interpretation in Decision Trees for Classification and Regression
Description: Optimization of conditional inference trees from the package 'party' for classification and regression. For optimization, the model space is searched for the best tree on the full sample by means of repeated subsampling. Restrictions are allowed so that only trees are accepted which do not include pre-specified uninterpretable split results (cf. Weihs & Buschfeld, 2021a). The function PrInDT() represents the basic resampling loop for 2-class classification (cf. Weihs & Buschfeld, 2021a). The function RePrInDT() (repeated PrInDT()) allows for repeated applications of PrInDT() for different percentages of the observations of the large and the small classes (cf. Weihs & Buschfeld, 2021c). The function NesPrInDT() (nested PrInDT()) allows for an extra layer of subsampling for a specific factor variable (cf. Weihs & Buschfeld, 2021b). The functions PrInDTMulev() and PrInDTMulab() deal with multilevel and multilabel classification. In addition to these PrInDT() variants for c [...truncated...]
Author: Claus Weihs [aut, cre], Sarah Buschfeld [aut], Niklas Nitsch [ctb]
Maintainer: Claus Weihs <claus.weihs@tu-dortmund.de>

Diff between PrInDT versions 2.0.2 dated 2025-09-11 and 2.0.3 dated 2026-07-22

 DESCRIPTION         |   14 +++++++-------
 MD5                 |    6 +++---
 R/SimMixPrInDT.R    |    2 +-
 man/SimMixPrInDT.Rd |    2 +-
 4 files changed, 12 insertions(+), 12 deletions(-)

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New package pdokr with initial version 0.1.0
Package: pdokr
Title: Access Open Geodata from the Dutch 'PDOK' Platform
Version: 0.1.0
Description: Tools to discover, download, and spatially filter open geographic data from 'PDOK' (Publieke Dienstverlening Op de Kaart), the national geodata platform of the Netherlands. Datasets and their layers are searched and loaded as vector simple feature ('sf') objects through 'OGC' API Features endpoints, with automatic pagination and explicit coordinate reference system handling. Loaded layers can be filtered by any polygon area, and addresses or place names can be geocoded through the 'PDOK' location server. The focus is on vector feature data; raster, tile, and coverage services are out of scope. See <https://www.pdok.nl/> for more information about the platform and its services.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: cli, httr2, rlang, sf, tibble
Suggests: httptest2, knitr, rmarkdown, testthat (>= 3.0.0), withr
URL: https://github.com/coeneisma/pdokr, https://coeneisma.github.io/pdokr/
BugReports: https://github.com/coeneisma/pdokr/issues
Language: en-US
NeedsCompilation: no
Packaged: 2026-07-14 13:58:20 UTC; coeneisma
Author: Coen Eisma [aut, cre, cph]
Maintainer: Coen Eisma <coeneisma@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-22 08:30:09 UTC

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Package nwsrfsr updated to version 1.0.3 with previous version 1.0.2 dated 2026-07-17

Title: NWS Hydrology Models: SAC-SMA, SNOW17, UH, CONSUSE, CHANLOSS
Description: Interface to the National Weather Service operational hydrology models, Sacramento Soil Moisture Accounting (SAC-SMA), Snow Accumulation and Ablation (SNOW17). Also provides an interface to the unit hydrograph routing model (UH), consumptive use (CONSUSE) and channel loss/gain modules (CHANLOSS). The Fortran code used in this package is considered "legacy" and is not supported officially by NWS, but it should not have any significant differences from current operational models.
Author: Cameron Bracken [aut, cre] , Geoffrey Walters [aut] , Eric Anderson [ctb] ), George F. Smith [ctb] ), Janice M. Lewis [ctb] ), John E. Pask [ctb] ; see inst/COPYRIGHTS), Ondrej Certik [ctb] , John Burkardt [ctb] , National Oceanic and Atmospheric Adm [...truncated...]
Maintainer: Cameron Bracken <cameron.bracken@pnnl.gov>

Diff between nwsrfsr versions 1.0.2 dated 2026-07-17 and 1.0.3 dated 2026-07-22

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New package NeutroCrdRcbdAnalysis with initial version 0.0.1
Package: NeutroCrdRcbdAnalysis
Title: Neutrosophic Analysis of Completely Randomized Designs and Randomized Complete Block Designs
Version: 0.0.1
Maintainer: Vinaykumar L.N. <vinaymandya123@gmail.com>
Description: Provides neutrosophic analysis of variance (NANOVA) and analysis of covariance (NANCOVA) for Completely Randomized Designs (CRD) and Randomized Complete Block Designs (RCBD) using interval-valued observations. Computes interval sums of squares, mean squares, F-statistics, significance tests, and interval-based least significant difference (LSD) comparisons. When lower and upper observations are identical (crisp data), the methods reduce to the corresponding classical ANOVA and ANCOVA.
License: GPL-3
Encoding: UTF-8
Imports: MASS, stats
NeedsCompilation: no
Packaged: 2026-07-14 11:08:38 UTC; admin
Author: Neethu R.S. [aut, ctb], Boyina Devi Priyanka [aut, ctb], Cini Varghese [aut, ctb], Mohd Harun [aut, ctb], Anindita Datta [aut, ctb], Vinaykumar L.N. [aut, cre]
Repository: CRAN
Date/Publication: 2026-07-22 08:30:26 UTC

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Package HLAtools updated to version 1.11.0 with previous version 1.6.3 dated 2025-07-21

Title: Toolkit for HLA Immunogenomics
Description: A toolkit for the analysis and management of data for genes in the so-called "Human Leukocyte Antigen" (HLA) region. Functions extract reference data from the Anthony Nolan HLA Informatics Group/ImmunoGeneTics HLA 'GitHub' repository (ANHIG/IMGTHLA) <https://github.com/ANHIG/IMGTHLA>, validate Genotype List (GL) Strings, convert between UNIFORMAT and GL String Code (GLSC) formats, translate HLA alleles and GLSCs across ImmunoPolymorphism Database (IPD) IMGT/HLA Database release versions, identify differences between pairs of alleles at a locus, generate customized, multi-position sequence alignments, trim and convert allele-names across nomenclature epochs, and extend existing data-analysis methods. Tran et al., (2025) <doi:10.1111/iji.70013>.
Author: Livia Tran [aut], Ryan Nickens [aut], Leamon Crooms IV [aut], Derek Pappas [aut], Vinh Luu [ctb], Josh Bredeweg [ctb], Steven Mack [aut, cre]
Maintainer: Steven Mack <Steven.Mack@ucsf.edu>

Diff between HLAtools versions 1.6.3 dated 2025-07-21 and 1.11.0 dated 2026-07-22

 DESCRIPTION                      |   10 
 MD5                              |   64 +
 NAMESPACE                        |    2 
 NEWS.md                          |   47 +
 R/SearchandBuildAlignments.R     |    2 
 R/UpdateAll.R                    |   28 
 R/VersionValidation.R            |   18 
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 R/buildGazetteer.R               |   20 
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 35 files changed, 1163 insertions(+), 884 deletions(-)

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Package greta.dynamics readmission to version 0.2.3 with previous version 0.2.2 dated 2024-11-13

Title: Modelling Structured Dynamical Systems in 'greta'
Description: A 'greta' extension for analysing transition matrices and ordinary differential equations representing dynamical systems. Provides functions for analysing transition matrices by iteration, and solving ordinary differential equations. This is an extension to the 'greta' software, Golding (2019) <doi:10.21105/joss.01601>.
Author: Nick Golding [aut, cph] , Nicholas Tierney [aut, cre]
Maintainer: Nicholas Tierney <nicholas.tierney@gmail.com>

This is a re-admission after prior archival of version 0.2.2 dated 2024-11-13

Diff between greta.dynamics versions 0.2.2 dated 2024-11-13 and 0.2.3 dated 2026-07-22

 DESCRIPTION                          |   17 +++--
 MD5                                  |   28 ++++----
 NEWS.md                              |   21 ++++++
 R/greta.dynamics-package.R           |    2 
 R/iterate_dynamic_function.R         |   22 ++++++
 R/iterate_dynamic_matrix.R           |   30 +++++++++
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 README.md                            |    2 
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 15 files changed, 223 insertions(+), 96 deletions(-)

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New package ggmeta with initial version 0.1.0
Package: ggmeta
Title: Publication-Quality Forest and Funnel Plots with 'ggplot2'
Version: 0.1.0
Description: A 'ggplot2' extension that creates publication-quality forest and funnel plots from 'meta' package objects or tidy data frames. Provides custom 'ggproto' geometries for study-level confidence intervals with weight-proportional squares, summary effect diamonds, prediction intervals, null-effect reference lines, and funnel-plot contours. Supports subgroup analysis, back-transformation of summary measures, on-the-fly effect pooling, effect and weight table columns, and journal-specific layout presets (JAMA, BMJ, RevMan5).
License: GPL (>= 3)
URL: https://github.com/drhrf/ggmeta, https://drhrf.github.io/ggmeta/
BugReports: https://github.com/drhrf/ggmeta/issues
Depends: R (>= 4.0)
Imports: cli (>= 3.6.0), ggplot2 (>= 3.4.0), grid, rlang (>= 1.0.0), scales (>= 1.2.0)
Suggests: covr (>= 3.6.0), knitr (>= 1.40), meta (>= 4.0), patchwork (>= 1.1.0), pkgdown (>= 2.0.0), rmarkdown (>= 2.20), testthat (>= 3.0.0), vdiffr (>= 1.0.0)
Encoding: UTF-8
Language: en-US
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-07-14 02:21:13 UTC; freitashr
Author: Hercules R. Freitas [aut, cre, cph]
Maintainer: Hercules R. Freitas <hercules.freitas@uerj.br>
Repository: CRAN
Date/Publication: 2026-07-22 08:30:14 UTC

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Package geosapi updated to version 0.8-1 with previous version 0.8 dated 2026-01-12

Title: GeoServer REST API R Interface
Description: Provides an R interface to the GeoServer REST API, allowing to upload and publish data in a GeoServer web-application and expose data to OGC Web-Services. The package currently supports all CRUD (Create,Read,Update,Delete) operations on GeoServer workspaces, namespaces, datastores (stores of vector data), featuretypes, layers, styles, as well as vector data upload operations. For more information about the GeoServer REST API, see <https://docs.geoserver.org/main/en/user/rest/>.
Author: Emmanuel Blondel [aut, cre]
Maintainer: Emmanuel Blondel <emmanuel.blondel1@gmail.com>

Diff between geosapi versions 0.8 dated 2026-01-12 and 0.8-1 dated 2026-07-22

 DESCRIPTION                       |   10 +-
 MD5                               |   36 ++++-----
 NEWS.md                           |   14 ++-
 R/GSAccessControlListManager.R    |  116 ++++++++++++++++++++++++-----
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 R/GSRule.R                        |    6 -
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 README.md                         |    2 
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 inst/doc/geosapi.html             |   16 ++--
 man/GSAccessControlListManager.Rd |  152 +++++++++++++++++++++++++++++++++++---
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 man/GSRule.Rd                     |    4 -
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 19 files changed, 308 insertions(+), 112 deletions(-)

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Package FlowRegEnvCost updated to version 0.1.2 with previous version 0.1.1 dated 2017-10-18

Title: The Environmental Costs of Flow Regulation
Description: An application to calculate the daily environmental costs of river flow regulation by dams based on García de Jalón et al. (2017) <doi:10.1007/s11269-017-1663-0>.
Author: Silvestre Garcia de Jalon [aut], Javier Martinez-Lopez [aut, cre], Marta Gonzalez del Tanago [aut], Carlos Alonso [aut], Diego Garcia de Jalon [aut]
Maintainer: Javier Martinez-Lopez <javi.martinez.lopez@gmail.com>

Diff between FlowRegEnvCost versions 0.1.1 dated 2017-10-18 and 0.1.2 dated 2026-07-22

 DESCRIPTION     |   35 +++++++++++++++++++++++++++++------
 MD5             |   10 ++++++----
 NEWS.md         |only
 R/data.R        |    6 +++---
 build           |only
 inst/CITATION   |   41 +++++++++++++++++++++--------------------
 man/flowdata.Rd |    6 +++---
 7 files changed, 62 insertions(+), 36 deletions(-)

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New package finlex with initial version 0.1.0
Package: finlex
Title: Access Open Data from the Finnish 'Finlex' Legislative Database
Version: 0.1.0
Description: Provides functions to retrieve and structure Finnish legislative data made available through the 'Finlex' Open Data API (<https://www.finlex.fi/en/open-data>). Functions cover retrieval of statute catalogues, statute titles, structured statute metadata, and cross-references between amending and amended statutes, returned as tidy tibbles for further analysis.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-GB
URL: https://github.com/KristianVepsalainen/finlex
BugReports: https://github.com/KristianVepsalainen/finlex/issues
Depends: R (>= 4.1.0)
Imports: dplyr, httr2, tibble, xml2
Suggests: spelling, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-07-14 08:58:14 UTC; kristianvepsalainen
Author: Kristian Vepsaelaeinen [aut, cre]
Maintainer: Kristian Vepsaelaeinen <kristian.vepsalainen@proton.me>
Repository: CRAN
Date/Publication: 2026-07-22 08:10:09 UTC

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New package FES with initial version 1.0
Package: FES
Title: Fisher Exact Scanning for Dependency
Version: 1.0
Description: Implements Fisher exact scanning (FES), a multiscale test of dependence for continuous or discrete bivariate data. The method scans nested binary partitions using Fisher's exact tests and combines evidence across windows and resolutions with Sidak, Bonferroni, and meta-analysis corrections. The methodology is described in Ma and Mao (2019) <doi:10.1080/01621459.2017.1397522>.
License: GPL (>= 3)
URL: https://github.com/mastatlab/fes
BugReports: https://github.com/mastatlab/fes/issues
Encoding: UTF-8
Depends: R (>= 3.6.0)
Imports: graphics, grDevices, methods, stats
Suggests: BayesFactor, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-07-14 12:17:22 UTC; li.ma
Author: Li Ma [aut, cre, cph]
Maintainer: Li Ma <mastatlab@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-22 08:30:31 UTC

More information about FES at CRAN
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New package cdtmbnma with initial version 0.2.1
Package: cdtmbnma
Title: Component, Dose, and Time Network Meta-Analysis with Dose-Dependent Interactions
Version: 0.2.1
Date: 2026-07-10
Description: Bayesian component model-based network meta-analysis for treatment combinations with explicit component dose-response and dose-dependent interaction surfaces. The main interface fits single-timepoint arm-level networks with continuous or binary outcomes, any number of components, additive, bilinear, or saturating pairwise interactions, study-level random effects, and prediction at unobserved dose combinations. A stage-one longitudinal interface fits a two-component exponential time-course model with a bilinear interaction on the asymptote. Estimation uses 'Stan' through 'cmdstanr' or 'rstan'. Methods are described in Welton et al. (2009) <doi:10.1093/aje/kwp014>, Mawdsley et al. (2016) <doi:10.1002/psp4.12091>, Wicha et al. (2017) <doi:10.1038/s41467-017-01929-y>, and Pedder et al. (2019) <doi:10.1002/jrsm.1351>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: posterior, stats, graphics, grDevices, utils
Suggests: cmdstanr, rstan, testthat (>= 3.0.0), knitr, rmarkdown, loo
Additional_repositories: https://stan-dev.r-universe.dev
SystemRequirements: A working Stan backend through cmdstanr/CmdStan or rstan.
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-07-10 12:39:43 UTC; tyler-pitre
Author: Tyler Pitre [aut, cre]
Maintainer: Tyler Pitre <pitretmed@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-22 08:30:21 UTC

More information about cdtmbnma at CRAN
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Package AMCP updated to version 2.0.0 with previous version 1.0.2 dated 2024-06-07

Title: Data Sets to Accompany Designing Experiments and Analyzing Data: A Model Comparison Perspective (Maxwell, Delaney, and Kelley, 2027, 4th Edition)
Description: Data sets that accompany the book "Designing experiments and analyzing data: A model comparison perspective" (4th ed.) by Maxwell, Delaney, and Kelley (2027; ISBN 978-1-041-25384-6; Routledge). Contains all of the data sets in the book's chapters and end-of-chapter exercises. Beginning with version 2.0, the package is tailored to the 4th edition of the book; for the data as distributed with the 3rd edition (2018), install the archived version 1.0.2 from CRAN. We recommend the 'DMAR' package as the companion for carrying out the book's analyses; these analyses are illustrated in the book itself using the 'MBESS' package, which may be used as well. The book's companion website is available at <https://designingexperiments.com/> and its publisher page at <https://www.routledge.com/Designing-Experiments-and-Analyzing-Data-A-Model-Comparison-Perspective/Maxwell-Delaney-Kelley/p/book/9781041253846>.
Author: Scott E. Maxwell [aut], Harold D. Delaney [aut], Ken Kelley [aut, cre]
Maintainer: Ken Kelley <kkelley@nd.edu>

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More information about AMCP at CRAN
Permanent link

Package optextras (with last version 2019-12.4) was removed from CRAN

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

2019-12-20 2019-12.4
2016-08-08 2016-8.8
2014-12-05 2013-10.28
2013-11-08 2013-10.27

Permanent link
Package tabnet updated to version 0.9.1 with previous version 0.9.0 dated 2026-06-12

Title: Fit 'TabNet' Models for Classification and Regression
Description: Implements the 'TabNet' model by Sercan O. Arik et al. (2019) <doi:10.48550/arXiv.1908.07442> with 'Coherent Hierarchical Multi-label Classification Networks' by Giunchiglia et al. <doi:10.48550/arXiv.2010.10151> and provides a consistent interface for fitting and creating predictions. It's also fully compatible with the 'tidymodels' ecosystem.
Author: Daniel Falbel [aut], RStudio [cph], Christophe Regouby [cre, ctb], Egill Fridgeirsson [ctb], Philipp Haarmeyer [ctb], Sven Verweij [ctb]
Maintainer: Christophe Regouby <christophe.regouby@free.fr>

Diff between tabnet versions 0.9.0 dated 2026-06-12 and 0.9.1 dated 2026-07-22

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New package tooth with initial version 0.5.0
Package: tooth
Title: Dental Public Health Indices and Odontogram Visualizations
Version: 0.5.0
Description: Computes dental caries indices (DMFT, DMFS, dmft, dmfs) from surface-level clinical examination data and produces odontogram heatmap visualizations of per-tooth-surface outcomes. Supports primary and permanent dentition with configurable teeth per quadrant (5 to 8), separate root and coronal caries tallying, long and wide input formats, stratified output, and FDI/Universal/quadrant tooth numbering conversion.
License: MIT + file LICENSE
URL: https://github.com/ddmsel/tooth
BugReports: https://github.com/ddmsel/tooth/issues
Encoding: UTF-8
Language: en-US
LazyData: true
Depends: R (>= 4.1.0)
Imports: dplyr (>= 1.0.0), ggplot2 (>= 3.4.0), patchwork, purrr, rlang, tibble
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-07-13 19:59:42 UTC; root
Author: David Selvaraj [aut, cre, cph] , Suchitra Nelson [aut]
Maintainer: David Selvaraj <dms256@case.edu>
Repository: CRAN
Date/Publication: 2026-07-22 07:10:02 UTC

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New package rvmprior with initial version 0.1.0
Package: rvmprior
Title: Relevance Vector Machine with Flexible Spike-and-Slab Priors
Version: 0.1.0
Description: Fits Relevance Vector Machine (RVM) models for Normal, Epanechnikov, and Bickel prior distributions, and Gaussian or Mexican Hat kernels.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: ggplot2, kernlab, MASS
NeedsCompilation: no
Packaged: 2026-07-06 21:05:05 UTC; anaca
Author: Alex Sousa [aut, cre], Rafael Oliveira [aut]
Maintainer: Alex Sousa <asousa@unicamp.br>
Repository: CRAN
Date/Publication: 2026-07-22 07:30:02 UTC

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New package rembg with initial version 0.1.1
Package: rembg
Title: Remove Image Backgrounds with Pre-Trained Segmentation Models
Version: 0.1.1
Date: 2026-07-13
Description: Remove the background from an image using pre-trained deep learning segmentation models ('U-2-Net', 'ISNet', 'BiRefNet' and others) run through the 'ONNX' Runtime via the 'onnxr' package. Given an image, a model predicts a foreground alpha matte which is composited into a cutout with a transparent (or solid-colour) background; optional closed-form alpha matting (ported from 'pymatting') refines soft edges. An R port of the Python 'rembg' package (<https://github.com/danielgatis/rembg>). Models are downloaded on first use and cached in a per-user cache directory.
License: MIT + file LICENSE
URL: https://github.com/cornball-ai/rembg
BugReports: https://github.com/cornball-ai/rembg/issues
Imports: onnxr, jpeg, png, Matrix, tools, utils
Suggests: tinytest, openssl
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-07-14 01:39:13 UTC; troy
Author: Troy Hernandez [aut, cre] , cornball.ai [cph], Daniel Gatis [cph]
Maintainer: Troy Hernandez <troy@cornball.ai>
Repository: CRAN
Date/Publication: 2026-07-22 07:30:07 UTC

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New package ragR with initial version 0.1.0
Package: ragR
Title: Retrieval-Augmented Generation and RAG Evaluation Tools
Version: 0.1.0
Description: Provides tools for document ingestion, embedding storage, retrieval-augmented generation (RAG), and evaluation of question-answering systems. The package includes an R-native vector store, wrappers for OpenAI embedding and chat-completion application programming interfaces (APIs), question-answering logging utilities, and large language model (LLM)-based evaluation metrics for context precision, context recall, answer relevance, and faithfulness. These metrics are based on the Retrieval-Augmented Generation Assessment (RAGAS) framework. The retrieval-augmented generation methodology is described by Lewis et al. (2020) "Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks" <doi:10.48550/arXiv.2005.11401>. The evaluation metrics are based on Es et al. (2024) "RAGAS: Automated Evaluation of Retrieval Augmented Generation" <doi:10.18653/v1/2024.eacl-demo.16>.
License: GPL-3
URL: https://github.com/aimalrehman92/ragR
BugReports: https://github.com/aimalrehman92/ragR/issues
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.1.0)
Imports: dplyr, httr2, jsonlite, pdftools, readtext, tibble
Suggests: plumber, stringr, yaml, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-07-14 05:51:17 UTC; aimalrehman
Author: Muhammad Aimal Rehman [aut, cre], Zhili Lu [aut], Chi-Kuang Yeh [aut]
Maintainer: Muhammad Aimal Rehman <rehman.aimal@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-22 07:40:02 UTC

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New package PTT with initial version 1.0
Package: PTT
Title: Pólya Tree Type Models
Version: 1.0
Description: Fits Bayesian nonparametric models based on Pólya tree processes, including adaptive Pólya trees, Markov adaptive Pólya trees, optional Pólya trees, and their conditional-density counterparts. Methods are described in Ma (2017) <doi:10.1214/16-BA1021>, Ma (2017) <doi:10.1214/17-EJS1254>, and Wong and Ma (2010) <doi:10.1214/09-AOS755>.
License: GPL (>= 3)
URL: https://github.com/MaStatLab/PTT
BugReports: https://github.com/MaStatLab/PTT/issues
Encoding: UTF-8
Imports: Rcpp (>= 1.0.0)
LinkingTo: Rcpp, RcppArmadillo
NeedsCompilation: yes
Packaged: 2026-07-14 03:49:20 UTC; li.ma
Author: Li Ma [aut, cre]
Maintainer: Li Ma <mastatlab@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-22 08:00:08 UTC

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New package mlr3forecast with initial version 0.1.0
Package: mlr3forecast
Title: Extending 'mlr3' to Time Series Forecasting
Version: 0.1.0
Description: Extends the 'mlr3' package and ecosystem to time series forecasting. Provides forecasting tasks, learners, resampling strategies, performance measures, and 'mlr3pipelines' operators for time-series feature engineering. Machine learning regression learners can be turned into forecasters through recursive and direct multi-step strategies.
License: LGPL-3
URL: https://mlr3forecast.mlr-org.com, https://github.com/mlr-org/mlr3forecast
BugReports: https://github.com/mlr-org/mlr3forecast/issues
Depends: mlr3 (>= 1.7.0), R (>= 3.6.0)
Imports: backports (>= 1.5.0), checkmate (>= 2.0.0), cli, data.table (>= 1.18.0), generics (>= 0.1.2), lgr, mlr3misc (>= 0.22.0), mlr3pipelines (>= 0.11.0), paradox (>= 1.0.1), R6 (>= 2.4.1), stats, utils
Suggests: distributional, fabletools, feasts, forecast (>= 9.0.2), ggplot2 (>= 3.4.0), greybox, mlr3tuning, nnfor (>= 0.9.9), prophet (>= 1.1.7), Rcatch22, Rlgt (>= 0.2.3), rpart, smooth (>= 4.4.0), testthat (>= 3.2.0), tidyselect, timeSeries, tsbox, tscount (>= 1.4.3), tsfeatures, tsibble, tsibbledata, vctrs, vdiffr (>= 1.0.0), withr (>= 3.0.0), xts, zoo
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-07-13 20:30:12 UTC; mmuecke
Author: Maximilian Muecke [aut, cre] , Marc Becker [aut] , Bernd Bischl [aut]
Maintainer: Maximilian Muecke <muecke.maximilian@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-22 07:10:15 UTC

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New package isoexplorer with initial version 0.4.1
Package: isoexplorer
Title: GUI Components to Explore Stable Isotope Data Files
Version: 0.4.1
Description: Provides graphical user interface components to explore stable isotope data files using the 'isoreader2' package, including browsing, visualizing, and exporting isotope data.
License: AGPL (>= 3)
Encoding: UTF-8
Depends: R (>= 4.5.0)
Imports: cli (>= 3.6.0), rlang (>= 1.1.0), tibble, dplyr, purrr, stringr, htmltools, shiny, bslib, shinyjs, shinyAce, shinycssloaders, rlog, DT, ggplot2, isoreader2 (>= 0.6.0), stats, callr, httpuv, htmlwidgets, tidyr, tidyselect, tools, utils, withr
Suggests: testthat (>= 3.0.0), pkgload
URL: https://github.com/isoverse/isoexplorer
BugReports: https://github.com/isoverse/isoexplorer/issues
Language: en-US
NeedsCompilation: no
Packaged: 2026-07-14 08:04:08 UTC; seko0922
Author: Sebastian Kopf [aut, cre]
Maintainer: Sebastian Kopf <sebastian.kopf@colorado.edu>
Repository: CRAN
Date/Publication: 2026-07-22 08:00:02 UTC

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New package gibbsTI with initial version 0.1.0
Package: gibbsTI
Title: Calibrated Gibbs Posteriors for Tolerance Intervals
Version: 0.1.0
Description: Provides tools for constructing one-sided and two-sided nonparametric tolerance intervals using calibrated Gibbs posteriors. The methods target population quantiles and content levels while achieving nominal frequentist coverage through data-driven calibration. The methodology is described in Pourmohamad, Richardson, and Sansó (2026) <doi:10.1080/00401706.2026.2699103>.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
LinkingTo: Rcpp
Imports: Rcpp
NeedsCompilation: yes
Packaged: 2026-07-13 23:02:00 UTC; pourmtx
Author: Tony Pourmohamad [aut, cre], Robert Richardson [aut], Bruno Sanso [aut]
Maintainer: Tony Pourmohamad <tpourmohamad@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-22 07:30:12 UTC

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New package arkg with initial version 0.1.0
Package: arkg
Title: Access to the ArKG Chile Archaeological Dating Knowledge Graph
Version: 0.1.0
Description: Client for the Archaeology Knowledge Graph of Chile (ArKG, <https://arkg.cl>), providing access to Chilean archaeological dates (radiocarbon and thermoluminescence) via its SPARQL endpoint powered by 'MillenniumDB'.
License: CC BY-SA 4.0
Encoding: UTF-8
URL: https://arkg.cl, https://github.com/ArKG-Data/arkg-r
BugReports: https://github.com/ArKG-Data/arkg-r/issues
Depends: R (>= 4.1.0)
Imports: httr2, jsonlite, tibble
Suggests: testthat (>= 3.0.0), withr
NeedsCompilation: no
Packaged: 2026-07-13 20:40:31 UTC; Victor
Author: Victor Mendez [aut, cre]
Maintainer: Victor Mendez <victor.mendez@uc.cl>
Repository: CRAN
Date/Publication: 2026-07-22 07:10:30 UTC

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Package plotly updated to version 4.12.1 with previous version 4.12.0 dated 2026-01-24

Title: Create Interactive Web Graphics via 'plotly.js'
Description: Create interactive web graphics from 'ggplot2' graphs and/or a custom interface to the (MIT-licensed) JavaScript library 'plotly.js' inspired by the grammar of graphics.
Author: Carson Sievert [aut, cre] , Chris Parmer [aut], Toby Hocking [aut], Scott Chamberlain [aut], Karthik Ram [aut], Marianne Corvellec [aut] , Pedro Despouy [aut], Salim Brueggemann [ctb] , Plotly Technologies Inc. [cph]
Maintainer: Carson Sievert <cpsievert1@gmail.com>

Diff between plotly versions 4.12.0 dated 2026-01-24 and 4.12.1 dated 2026-07-22

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Package HeterFunctionalData updated to version 1.0 with previous version 0.1.0 dated 2020-08-20

Title: Test of No Main and/or Interaction Effects in Functional Data
Description: Distribution free heteroscedastic tests for functional data. The following tests are included in this package: test of no main treatment or contrast effect and no simple treatment effect given in Wang, Higgins, and Blasi (2010) <doi:10.1016/j.spl.2009.11.016>, no main time effect, and no interaction effect based on original observations given in Wang and Akritas (2010a) <doi:10.1080/10485250903171621> and tests based on ranks given in Wang and Akritas (2010b) <doi:10.1016/j.jmva.2010.03.012>.
Author: Haiyan Wang [aut, cre], Michael Akritas [aut], James Higgins [aut], Dale Blasi [aut]
Maintainer: Haiyan Wang <hwang@ksu.edu>

Diff between HeterFunctionalData versions 0.1.0 dated 2020-08-20 and 1.0 dated 2026-07-22

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Package gelnet updated to version 1.2.2 with previous version 1.2.1 dated 2016-04-05

Title: Generalized Elastic Nets
Description: Implements several extensions of the elastic net regularization scheme. These extensions include individual feature penalties for the L1 term, feature-feature penalties for the L2 term, as well as translation coefficients for the latter.
Author: Artem Sokolov [aut, cre]
Maintainer: Artem Sokolov <artem.sokolov@gmail.com>

Diff between gelnet versions 1.2.1 dated 2016-04-05 and 1.2.2 dated 2026-07-22

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New package electsys21 with initial version 0.1.0
Package: electsys21
Title: Voting Methods for Ranked, Rated and Approval Ballots
Version: 0.1.0
Description: Implements a range of voting methods and electoral systems for determining election winners, including the D21 method with and without minus votes (Janecek, <https://www.ih21.org/en/d21-janecek-method>), first-past-the-post, two-round runoff, instant runoff, the Borda count, approval voting, majority judgement and the Condorcet method. The functions accept several ballot formats - ranking, cardinal utilities, approvals and scores - with automatic detection of the input type, configurable tie-breaking and tidy summaries of the results.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/ivan-ih21/electsys21
BugReports: https://github.com/ivan-ih21/electsys21/issues
Imports: stats
NeedsCompilation: no
Packaged: 2026-07-13 11:59:35 UTC; Ivan
Author: Ivan Iakimov [aut, cre]
Maintainer: Ivan Iakimov <ivan.iakimov@ih21.org>
Repository: CRAN
Date/Publication: 2026-07-22 06:10:15 UTC

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New package clustGLMM with initial version 1.0
Package: clustGLMM
Title: Model-Based Clustering of Mixed-Type Longitudinal Data
Version: 1.0
Encoding: UTF-8
Maintainer: Jan Vavra <vavraj@karlin.mff.cuni.cz>
Description: Provides tools for Bayesian estimation and inference for modelling clusterwise multivariate regression models for numeric, count, binary, ordinal and count outcomes observed repeatedly on the same units and where possible relations among outcomes are captured through a joint distribution of random effects. The clusters are defined through cluster-specific parameters, which the analyst can choose, e.g., with respect to the regression coefficients. In particular, the model specification for each regression model via the formula is specific to the outcome and consists of four parts: (1) fixed - regression coefficients common to all clusters, (2) group - group-specific regression coefficients, (3) random - random effects specific for each unit, (3) offset - name of an offset variable (if needed). Estimation is performed using MCMC sampling combining Gibbs and Metropolis-Hastings steps. Post-processing tools allow to assess convergence and address label switching and provide visual diagnost [...truncated...]
License: GPL-2
Imports: coda, colorspace, gaussquad, graphics, grDevices, HDInterval, MASS, methods, mvtnorm, nnet, RcppHungarian, splines, stats, utils
Depends: R (>= 4.0.0)
Suggests: knitr, rmarkdown, bookdown, kableExtra, dplyr, DiagrammeR, DiagrammeRsvg, rsvg, mclust, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-07-13 14:41:21 UTC; vavraj
Author: Jan Vavra [aut, cre] , Bettina Gruen [aut] , Gertraud Malsiner-Walli [aut] , Arnost Komarek [aut]
Repository: CRAN
Date/Publication: 2026-07-22 06:20:02 UTC

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Package AGHmatrix updated to version 3.0.1 with previous version 2.1.4 dated 2023-10-03

Title: Relationship Matrices for Diploid and Autopolyploid Species
Description: Fast computation of A (pedigree), G (genomic-base), and H (A corrected by G) relationship matrices for diploid and autopolyploid species. Several methods are implemented considering additive and non-additive models.
Author: Rodrigo Amadeu [aut, cre], Luis Ferrao [aut, ctb], Thiago Oliveira [aut, ctb], Catherine Cellon [ctb], Leticia Lara [ctb], Marcio Resende [ctb], Ivone Oliveira [ctb], Patricio Munoz [ctb], Augusto Garcia [ctb]
Maintainer: Rodrigo Amadeu <rramadeu@gmail.com>

Diff between AGHmatrix versions 2.1.4 dated 2023-10-03 and 3.0.1 dated 2026-07-22

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Package oddnet updated to version 0.1.2 with previous version 0.1.1 dated 2024-02-11

Title: Anomaly Detection in Temporal Networks
Description: Anomaly detection in dynamic, temporal networks. The package 'oddnet' uses a feature-based method to identify anomalies. First, it computes many features for each network. Then it models the features using time series methods. Using time series residuals it detects anomalies. This way, the temporal dependencies are accounted for when identifying anomalies (Kandanaarachchi, Sanderson, Hyndman 2024) <doi:10.1109/ISCMI63661.2024.10851659>.
Author: Sevvandi Kandanaarachchi [aut, cre] , Rob Hyndman [aut]
Maintainer: Sevvandi Kandanaarachchi <sevvandik@gmail.com>

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Package mmbcv updated to version 1.0.0 with previous version 0.3.0 dated 2026-03-31

Title: Multistate Model Bias-Corrected Robust Variance
Description: Computes robust and bias-corrected sandwich variance estimators for multi-state Cox models with clustered time-to-event data. Also provides Wald tests for heterogeneity, generalized least-squares linear trends, and order-restricted trends among transition-specific coefficients. The methodology extends the marginal Cox model bias-correction framework of Wang et al. (2023) <doi:10.1002/bimj.202200113> to the multi-state setting.
Author: Can Meng [aut, cre], Denise Esserman [aut], Fan Li [aut], Erich Greene [aut]
Maintainer: Can Meng <can.meng@yale.edu>

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Package geigen updated to version 2.4 with previous version 2.3 dated 2019-05-30

Title: Calculate Generalized Eigenvalues, the Generalized Schur Decomposition and the Generalized Singular Value Decomposition of a Matrix Pair with Lapack
Description: Functions to compute generalized eigenvalues and eigenvectors, the generalized Schur decomposition and the generalized Singular Value Decomposition of a matrix pair, using Lapack routines.
Author: Berend Hasselman [aut], Jonathan M. Lees [cre], Lapack authors [aut, cph]
Maintainer: Jonathan M. Lees <jonathan.lees@unc.edu>

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Package endogeneity updated to version 2.1.6 with previous version 2.1.5 dated 2025-10-12

Title: Recursive Two-Stage Models to Address Endogeneity
Description: Various recursive two-stage models to address the endogeneity issue of treatment variables in observational study or mediators in experiments. The details of the models are discussed in Peng (2023) <doi:10.1287/isre.2022.1113>.
Author: Jing Peng [aut, cre]
Maintainer: Jing Peng <jing.peng@uconn.edu>

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Package distributions3 updated to version 0.2.4 with previous version 0.2.3 dated 2025-09-12

Title: Probability Distributions as S3 Objects
Description: Tools to create and manipulate probability distributions using S3. Generics pdf(), cdf(), quantile(), and random() provide replacements for base R's d/p/q/r style functions. Functions and arguments have been named carefully to minimize confusion for students in intro stats courses. The documentation for each distribution contains detailed mathematical notes.
Author: Alex Hayes [aut] , Ralph Moller-Trane [aut] , Daniel Jordan [aut], Paul Northrop [aut] , Moritz N. Lang [aut] , Achim Zeileis [aut, cre] , Emil Hvitfeldt [ctb] , Bruna Wundervald [ctb] , Alessandro Gasparini [ctb]
Maintainer: Achim Zeileis <Achim.Zeileis@R-project.org>

Diff between distributions3 versions 0.2.3 dated 2025-09-12 and 0.2.4 dated 2026-07-22

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Package dichromat updated to version 2.0-1 with previous version 2.0-0.1 dated 2022-05-02

Title: Color Schemes for Dichromats
Description: Collapse red-green or green-blue distinctions to simulate the effects of different types of color-blindness based on the work of Françoise Viénot and co-authors, especially <doi:10.1038/376127a0> and <doi:10.1364/josaa.14.002647>. More recent functions for simulating color vision deficiency are provided in the 'colorspace' package.
Author: Thomas Lumley [aut] , Achim Zeileis [aut, cre] , Kenneth Knoblauch [ctb] , Scott Waichler [ctb]
Maintainer: Achim Zeileis <Achim.Zeileis@R-project.org>

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