Thu, 04 Sep 2025

Package swCRTdesign updated to version 4.1 with previous version 4.0 dated 2023-08-25

Title: Stepped Wedge Cluster Randomized Trial (SW CRT) Design
Description: A set of tools for examining the design and analysis aspects of stepped wedge cluster randomized trials (SW CRT) based on a repeated cross-sectional or cohort sampling scheme (Hussey MA and Hughes JP (2007) Contemporary Clinical Trials 28:182-191).
Author: Jim Hughes [aut, cre], Navneet R. Hakhu [aut], Emily Voldal [aut], Fan Xia [aut]
Maintainer: Jim Hughes <jphughes@uw.edu>

Diff between swCRTdesign versions 4.0 dated 2023-08-25 and 4.1 dated 2025-09-04

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More information about swCRTdesign at CRAN
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Package gemR updated to version 1.2.2 with previous version 1.2.1 dated 2025-06-27

Title: General Effect Modelling
Description: Two-step modeling with separation of sources of variation through analysis of variance and subsequent multivariate modeling through a range of unsupervised and supervised statistical methods. Separation can focus on removal of interfering effects or isolation of effects of interest. EF Mosleth et al. (2021) <doi:10.1038/s41598-021-82388-w> and EF Mosleth et al. (2020) <doi:10.1016/B978-0-12-409547-2.14882-6>.
Author: Kristian Hovde Liland [aut, cre], Ellen Faergestad Mosleth [ctb]
Maintainer: Kristian Hovde Liland <kristian.liland@nmbu.no>

Diff between gemR versions 1.2.1 dated 2025-06-27 and 1.2.2 dated 2025-09-04

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More information about gemR at CRAN
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Package acledR updated to version 1.0.0 with previous version 0.1.0 dated 2025-02-24

Title: Manipulate ACLED Data
Description: Tools working with data from ACLED (Armed Conflict Location and Event Data). Functions include simplified access to ACLED's API (<https://apidocs.acleddata.com/>), methods for keeping local versions of ACLED data up-to-date, and functions for common ACLED data transformations.
Author: Armed Conflict Location and Event Data ACLED [cph], Trey Billing [aut, cre], Lucas Fagliano [aut], Katayoun Kishi [ctb]
Maintainer: Trey Billing <t.billing@acleddata.com>

Diff between acledR versions 0.1.0 dated 2025-02-24 and 1.0.0 dated 2025-09-04

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Package wrappedtools updated to version 0.9.9 with previous version 0.9.8 dated 2025-07-10

Title: Useful Wrappers Around Commonly Used Functions
Description: The main functionalities of 'wrappedtools' are: adding backticks to variable names; rounding to desired precision with special case for p-values; selecting columns based on pattern and storing their position, name, and backticked name; computing and formatting of descriptive statistics (e.g. mean±SD), comparing groups and creating publication-ready tables with descriptive statistics and p-values; creating specialized plots for correlation matrices. Functions were mainly written for my own daily work or teaching, but may be of use to others as well.
Author: Andreas Busjahn [cre, aut] , Franziska Eidloth [aut], Bilal Asser [aut]
Maintainer: Andreas Busjahn <andreas@busjahn.net>

Diff between wrappedtools versions 0.9.8 dated 2025-07-10 and 0.9.9 dated 2025-09-04

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Package nettskjemar updated to version 1.0.3 with previous version 1.0.2 dated 2025-06-06

Title: Connect to the 'nettskjema.no' API of the University of Oslo
Description: Enables users to retrieve data, meta-data, and codebooks from <https://nettskjema.no/>. The data from the API is richer than from the online data portal. This package is not developed by the University of Oslo IT. Mowinckel (2021) <doi:10.5281/zenodo.4745481>.
Author: Athanasia Mo Mowinckel [aut, cre] , Trym Nohr Fjoertoft [ctb]
Maintainer: Athanasia Mo Mowinckel <a.m.mowinckel@psykologi.uio.no>

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Package simfinapi updated to version 1.0.1 with previous version 1.0.0 dated 2024-02-27

Title: Accessing 'SimFin' Data
Description: Through simfinapi, you can intuitively access the 'SimFin' Web-API (<https://www.simfin.com/>) to make 'SimFin' data easily available in R. To obtain an 'SimFin' API key (and thus to use this package), you need to register at <https://app.simfin.com/login>.
Author: Matthias Gomolka [aut, cre]
Maintainer: Matthias Gomolka <matthias.gomolka@posteo.de>

Diff between simfinapi versions 1.0.0 dated 2024-02-27 and 1.0.1 dated 2025-09-04

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Package Morpho updated to version 2.13 with previous version 2.12 dated 2023-12-06

Title: Calculations and Visualisations Related to Geometric Morphometrics
Description: A toolset for Geometric Morphometrics and mesh processing. This includes (among other stuff) mesh deformations based on reference points, permutation tests, detection of outliers, processing of sliding semi-landmarks and semi-automated surface landmark placement.
Author: Stefan Schlager [aut, cre, cph], Gregory Jefferis [ctb], Dryden Ian [cph]
Maintainer: Stefan Schlager <zarquon42@gmail.com>

Diff between Morpho versions 2.12 dated 2023-12-06 and 2.13 dated 2025-09-04

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Package grec updated to version 1.6.2 with previous version 1.6.1 dated 2025-01-23

Title: Gradient-Based Recognition of Spatial Patterns in Environmental Data
Description: Provides algorithms for detection of spatial patterns from oceanographic data using image processing methods based on Gradient Recognition.
Author: Wencheng Lau-Medrano [aut, cre]
Maintainer: Wencheng Lau-Medrano <luis.laum@gmail.com>

Diff between grec versions 1.6.1 dated 2025-01-23 and 1.6.2 dated 2025-09-04

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Package GLMcat updated to version 1.0.0 with previous version 0.2.7 dated 2024-09-20

Title: Generalized Linear Models for Categorical Responses
Description: In statistical modeling, there is a wide variety of regression models for categorical dependent variables (nominal or ordinal data); yet, there is no software embracing all these models together in a uniform and generalized format. Following the methodology proposed by Peyhardi, Trottier, and Guédon (2015) <doi:10.1093/biomet/asv042>, we introduce 'GLMcat', an R package to estimate generalized linear models implemented under the unified specification (r, F, Z). Where r represents the ratio of probabilities (reference, cumulative, adjacent, or sequential), F the cumulative cdf function for the linkage, and Z, the design matrix. The package accompanies the paper "GLMcat: An R Package for Generalized Linear Models for Categorical Responses" in the Journal of Statistical Software, Volume 114, Issue 9 (see <doi:10.18637/jss.v114.i09>).
Author: Lorena Leon [aut, cre], Jean Peyhardi [aut], Catherine Trottier [aut]
Maintainer: Lorena Leon <ylorenaleonv@gmail.com>

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Package finnts updated to version 0.6.0 with previous version 0.5.0 dated 2024-10-25

Title: Microsoft Finance Time Series Forecasting Framework
Description: Automated time series forecasting developed by Microsoft Finance. The Microsoft Finance Time Series Forecasting Framework, aka Finn, can be used to forecast any component of the income statement, balance sheet, or any other area of interest by finance. Any numerical quantity over time, Finn can be used to forecast it. While it can be applied outside of the finance domain, Finn was built to meet the needs of financial analysts to better forecast their businesses within a company, and has a lot of built in features that are specific to the needs of financial forecasters. Happy forecasting!
Author: Mike Tokic [aut, cre] , Aadharsh Kannan [aut]
Maintainer: Mike Tokic <mftokic@gmail.com>

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Package EMAS updated to version 0.2.3 with previous version 0.2.2 dated 2022-08-11

Title: Epigenome-Wide Mediation Analysis Study
Description: DNA methylation is essential for human, and environment can change the DNA methylation and affect body status. Epigenome-Wide Mediation Analysis Study (EMAS) can find potential mediator CpG sites between exposure (x) and outcome (y) in epigenome-wide. For more information on the methods we used, please see the following references: Tingley, D. (2014) <doi:10.18637/jss.v059.i05>, Turner, S. D. (2018) <doi:10.21105/joss.00731>, Rosseel, D. (2012) <doi:10.18637/jss.v048.i02>.
Author: Xiuquan Nie [aut, cph, cre], Mengyi Wang [ctb, rev]
Maintainer: Xiuquan Nie <niexiuquan1995@foxmail.com>

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Package E2E updated to version 0.1.0 with previous version 0.0.3 dated 2025-08-26

Title: Ensemble Learning Framework for Diagnostic and Prognostic Modeling
Description: Provides a framework to build and evaluate diagnosis or prognosis models using stacking, voting, and bagging ensemble techniques with various base learners. The package also includes tools for visualization and interpretation of models. The development version of the package is available on 'GitHub' at <https://github.com/xiaojie0519/E2E>. The methods are based on the foundational work of Breiman (1996) <doi:10.1007/BF00058655> on bagging and Wolpert (1992) <doi:10.1016/S0893-6080(05)80023-1> on stacking.
Author: Shanjie Luan [aut, cre]
Maintainer: Shanjie Luan <Luan20050519@163.com>

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Package udpipe updated to version 0.8.12 with previous version 0.8.11 dated 2023-01-06

Title: Tokenization, Parts of Speech Tagging, Lemmatization and Dependency Parsing with the 'UDPipe' 'NLP' Toolkit
Description: This natural language processing toolkit provides language-agnostic 'tokenization', 'parts of speech tagging', 'lemmatization' and 'dependency parsing' of raw text. Next to text parsing, the package also allows you to train annotation models based on data of 'treebanks' in 'CoNLL-U' format as provided at <https://universaldependencies.org/format.html>. The techniques are explained in detail in the paper: 'Tokenizing, POS Tagging, Lemmatizing and Parsing UD 2.0 with UDPipe', available at <doi:10.18653/v1/K17-3009>. The toolkit also contains functionalities for commonly used data manipulations on texts which are enriched with the output of the parser. Namely functionalities and algorithms for collocations, token co-occurrence, document term matrix handling, term frequency inverse document frequency calculations, information retrieval metrics (Okapi BM25), handling of multi-word expressions, keyword detection (Rapid Automatic Keyword Extraction, noun phrase extraction, syntact [...truncated...]
Author: Jan Wijffels [aut, cre, cph], BNOSAC [cph], Institute of Formal and Applied Linguistics, Faculty of Mathematics and Physics, Charles University in Prague, Czech Republic [cph], Milan Straka [ctb, cph], Jana Strakova [ctb, cph]
Maintainer: Jan Wijffels <jwijffels@bnosac.be>

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Package tabula updated to version 3.3.2 with previous version 3.3.1 dated 2025-05-15

Title: Analysis and Visualization of Archaeological Count Data
Description: An easy way to examine archaeological count data. This package provides several tests and measures of diversity: heterogeneity and evenness (Brillouin, Shannon, Simpson, etc.), richness and rarefaction (Chao1, Chao2, ACE, ICE, etc.), turnover and similarity (Brainerd-Robinson, etc.). It allows to easily visualize count data and statistical thresholds: rank vs abundance plots, heatmaps, Ford (1962) and Bertin (1977) diagrams, etc.
Author: Nicolas Frerebeau [aut, cre] , Matthew Peeples [ctb] , Ben Marwick [ctb] , Jean-Baptiste Fourvel [ctb] , Brice Lebrun [art] , Universite Bordeaux Montaigne [fnd] , CNRS [fnd]
Maintainer: Nicolas Frerebeau <nicolas.frerebeau@u-bordeaux-montaigne.fr>

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Package quarto updated to version 1.5.1 with previous version 1.5.0 dated 2025-07-28

Title: R Interface to 'Quarto' Markdown Publishing System
Description: Convert R Markdown documents and 'Jupyter' notebooks to a variety of output formats using 'Quarto'.
Author: JJ Allaire [aut] , Christophe Dervieux [cre, aut] , Posit Software, PBC [cph, fnd], Gordon Woodhull [ctb]
Maintainer: Christophe Dervieux <cderv@posit.co>

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Package KbMvtSkew updated to version 1.1.0 with previous version 1.0.2 dated 2020-03-23

Title: Khattree-Bahuguna's Univariate and Multivariate Skewness
Description: Computes Khattree-Bahuguna's univariate and multivariate skewness, principal-component-based Khattree-Bahuguna's multivariate skewness. It also provides several measures of univariate or multivariate skewnesses including, Pearson’s coefficient of skewness, Bowley’s univariate skewness and Mardia's multivariate skewness. See Khattree, R. and Bahuguna, M. (2019) <doi: 10.1007/s41060-018-0106-1>.
Author: Zhixin Lun [aut, cre] , Ravindra Khattree [aut]
Maintainer: Zhixin Lun <zhixin.lun@cuanschutz.edu>

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Package immundata updated to version 0.0.3 with previous version 0.0.1 dated 2025-04-08

Title: A Unified Data Layer for Large-Scale Single-Cell, Spatial and Bulk Immunomics
Description: Provides a unified data layer for single-cell, spatial and bulk T-cell and B-cell immune receptor repertoire data. Think AnnData or SeuratObject, but for AIRR data.
Author: Vadim I. Nazarov [aut, cre]
Maintainer: Vadim I. Nazarov <support@immunomind.com>

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Package CytoProfile updated to version 0.2.2 with previous version 0.2.1 dated 2025-05-19

Title: Cytokine Profiling Analysis Tool
Description: Provides comprehensive cytokine profiling analysis through quality control using biologically meaningful cutoffs on raw cytokine measurements and by testing for distributional symmetry to recommend appropriate transformations. Offers exploratory data analysis with summary statistics, enhanced boxplots, and barplots, along with univariate and multivariate analytical capabilities for in-depth cytokine profiling such as Principal Component Analysis based on Andrzej Maćkiewicz and Waldemar Ratajczak (1993) <doi:10.1016/0098-3004(93)90090-R>, Sparse Partial Least Squares Discriminant Analysis based on Lê Cao K-A, Boitard S, and Besse P (2011) <doi:10.1186/1471-2105-12-253>, Random Forest based on Breiman, L. (2001) <doi:10.1023/A:1010933404324>, and Extreme Gradient Boosting based on Tianqi Chen and Carlos Guestrin (2016) <doi:10.1145/2939672.2939785>.
Author: Shubh Saraswat [cre, aut, cph] , Xiaohua Douglas Zhang [aut]
Maintainer: Shubh Saraswat <shubh.saraswat00@gmail.com>

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More information about CytoProfile at CRAN
Permanent link

Package CondMVT updated to version 0.1.1 with previous version 0.1.0 dated 2022-06-28

Title: Conditional Multivariate t Distribution, Expectation Maximization Algorithm, and Its Stochastic Variants
Description: Computes conditional multivariate t probabilities, random deviates, and densities. It can also be used to create missing values at random in a dataset, resulting in a missing at random (MAR) mechanism. Inbuilt in the package are the Expectation-Maximization (EM), Monte Carlo EM, and Stochastic EM algorithms for imputation of missing values in datasets assuming the multivariate t distribution. See Kinyanjui, Tamba, Orawo, and Okenye (2020)<doi:10.3233/mas-200493>, and Kinyanjui, Tamba, and Okenye(2021)<http://www.ceser.in/ceserp/index.php/ijamas/article/view/6726/0> for more details.
Author: Paul Kinyanjui [aut, cre], Cox Tamba [aut], Justin Okenye [aut], Luke Orawo [ctb]
Maintainer: Paul Kinyanjui <kinyanjui.access@gmail.com>

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More information about CondMVT at CRAN
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Package transDA updated to version 1.0.2 with previous version 1.0.1 dated 2025-06-09

Title: Transformation Discriminant Analysis
Description: Performs transformation discrimination analysis and non-transformation discrimination analysis. It also includes functions for Linear Discriminant Analysis, Quadratic Discriminant Analysis, and Mixture Discriminant Analysis. In the context of mixture discriminant analysis, it offers options for both common covariance matrix (common sigma) and individual covariance matrices (uncommon sigma) for the mixture components.
Author: Jing Li [aut, cre], Yana Melnykov [aut]
Maintainer: Jing Li <jli178@crimson.ua.edu>

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Permanent link

New package ricci with initial version 0.1.1
Package: ricci
Title: Ricci Calculus
Version: 0.1.1
Description: Provides a compact 'R' interface for performing tensor calculations. This is achieved by allowing (upper and lower) index labeling of arrays and making use of Ricci calculus conventions to implicitly trigger contractions and diagonal subsetting. Explicit tensor operations, such as addition, subtraction and multiplication of tensors via the standard operators, raising and lowering indices, taking symmetric or antisymmetric tensor parts, as well as the Kronecker product are available. Common tensors like the Kronecker delta, Levi Civita epsilon, certain metric tensors, the Christoffel symbols, the Riemann as well as Ricci tensors are provided. The covariant derivative of tensor fields with respect to any metric tensor can be evaluated. An effort was made to provide the user with useful error messages.
License: GPL (>= 3)
Encoding: UTF-8
Suggests: knitr, rmarkdown, Ryacas, testthat (>= 3.0.0), waldo
Imports: calculus, cli, rlang
Depends: R (>= 4.1.0)
URL: https://github.com/lschneiderbauer/ricci, https://lschneiderbauer.github.io/ricci/
BugReports: https://github.com/lschneiderbauer/ricci/issues
VignetteBuilder: knitr, rmarkdown
NeedsCompilation: no
Packaged: 2025-08-30 15:28:10 UTC; lukas
Author: Lukas Schneiderbauer [aut, cre, cph]
Maintainer: Lukas Schneiderbauer <lukas.schneiderbauer@gmail.com>
Repository: CRAN
Date/Publication: 2025-09-04 14:20:02 UTC

More information about ricci at CRAN
Permanent link

Package rgbif updated to version 3.8.3 with previous version 3.8.2 dated 2025-06-12

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

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New package power4mome with initial version 0.1.0
Package: power4mome
Title: Power Analysis for Moderation and Mediation
Version: 0.1.0
Description: Power analysis and sample size determination for moderation, mediation, and moderated mediation in models fitted by structural equation modelling using the 'lavaan' package by Rosseel (2012) <doi:10.18637/jss.v048.i02> or by multiple regression. The package 'manymome' by Cheung and Cheung (2024) <doi:10.3758/s13428-023-02224-z> is used to specify the indirect paths or conditional indirect paths to be tested.
License: GPL (>= 3)
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Depends: R (>= 4.4.0)
URL: https://sfcheung.github.io/power4mome/
BugReports: https://github.com/sfcheung/power4mome/issues
Imports: lavaan, stats, manymome (>= 0.2.8), pbapply, parallel, pgnorm, lmhelprs (>= 0.4.2), psych, yaml, graphics, methods
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-08-31 07:40:34 UTC; shufa
Author: Shu Fai Cheung [aut, cre] , Sing-Hang Cheung [aut] , Wendie Yang [aut]
Maintainer: Shu Fai Cheung <shufai.cheung@gmail.com>
Repository: CRAN
Date/Publication: 2025-09-04 14:20:16 UTC

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Package mlflow updated to version 3.3.2 with previous version 3.2.0 dated 2025-08-21

Title: Interface to 'MLflow'
Description: R interface to 'MLflow', open source platform for the complete machine learning life cycle, see <https://mlflow.org/>. This package supports installing 'MLflow', tracking experiments, creating and running projects, and saving and serving models.
Author: Ben Wilson [aut, cre], Matei Zaharia [aut], Javier Luraschi [aut], Kevin Kuo [aut] , RStudio [cph]
Maintainer: Ben Wilson <benjamin.wilson@databricks.com>

Diff between mlflow versions 3.2.0 dated 2025-08-21 and 3.3.2 dated 2025-09-04

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Package grateful updated to version 0.3.0 with previous version 0.2.12 dated 2025-04-30

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

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New package ELIC with initial version 0.1.0
Package: ELIC
Title: LIC for Distributed Elliptical Model
Version: 0.1.0
Date: 2025-08-16
Description: This comprehensive toolkit for Distributed Elliptical model is designated as "ELIC" (The LIC for Distributed Elliptical Model Analysis) analysis. It is predicated on the assumption that the error term adheres to a Elliptical distribution. The philosophy of the package is described in Guo G. (2020) <doi:10.1080/02664763.2022.2053949>.
License: MIT + file LICENSE
Encoding: UTF-8
NeedsCompilation: no
Author: Guangbao Guo [aut, cre], Xiyu Zhao [aut]
Maintainer: Guangbao Guo <ggb11111111@163.com>
Repository: CRAN
Imports: distr, distrEllipse,MASS
Suggests: testthat (>= 3.0.0), sn
Depends: R (>= 4.4.0)
Packaged: 2025-08-27 01:37:26 UTC; 13269
Date/Publication: 2025-09-04 14:20:33 UTC

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Package boostmath updated to version 1.1.0 with previous version 1.0.2 dated 2025-07-31

Title: 'R' Bindings for the 'Boost' Math Functions
Description: 'R' bindings for the various functions and statistical distributions provided by the 'Boost' Math library <https://www.boost.org/doc/libs/latest/libs/math/doc/html/index.html>.
Author: Andrew R. Johnson [aut, cre]
Maintainer: Andrew R. Johnson <andrew.johnson@arjohnsonau.com>

Diff between boostmath versions 1.0.2 dated 2025-07-31 and 1.1.0 dated 2025-09-04

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New package booami with initial version 0.1.0
Package: booami
Language: en-US
Title: Component-Wise Gradient Boosting after Multiple Imputation
Version: 0.1.0
Description: Component-wise gradient boosting for analysis of multiply imputed datasets. Implements the algorithm Boosting after Multiple Imputation (MIBoost), which enforces uniform variable selection across imputations and provides utilities for pooling. Includes a cross-validation workflow that first splits the data into training and validation sets and then performs imputation on the training data, applying the learned imputation models to the validation data to avoid information leakage. Supports Gaussian and logistic loss. Methods relate to gradient boosting and multiple imputation as in Buehlmann and Hothorn (2007) <doi:10.1214/07-STS242>, Friedman (2001) <doi:10.1214/aos/1013203451>, and van Buuren (2018, ISBN:9781138588318) and Groothuis-Oudshoorn (2011) <doi:10.18637/jss.v045.i03>; see also Kuchen (2025) <doi:10.48550/arXiv.2507.21807>.
License: MIT + file LICENSE
URL: https://arxiv.org/abs/2507.21807, https://github.com/RobertKuchen/booami
BugReports: https://github.com/RobertKuchen/booami/issues
Encoding: UTF-8
Depends: R (>= 4.0)
Imports: MASS, stats, utils, withr
Suggests: mice, miceadds, Matrix, knitr, rmarkdown, testthat (>= 3.0.0), spelling
LazyData: true
NeedsCompilation: no
Packaged: 2025-08-30 10:27:36 UTC; rokuchen
Author: Robert Kuchen [aut, cre]
Maintainer: Robert Kuchen <rokuchen@uni-mainz.de>
Repository: CRAN
Date/Publication: 2025-09-04 14:10:06 UTC

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Package ib updated to version 0.2.1 with previous version 0.2.0 dated 2022-04-04

Title: Bias Correction via Iterative Bootstrap
Description: An implementation of the iterative bootstrap procedure of Kuk (1995) <doi:10.1111/j.2517-6161.1995.tb02035.x> to correct the estimation bias of a fitted model object. This procedure has better bias correction properties than the bootstrap bias correction technique.
Author: Samuel Orso [aut, cre], Stephane Guerrier [ctb], Yuming Zhang [ctb]
Maintainer: Samuel Orso <Samuel.Orso@unige.ch>

Diff between ib versions 0.2.0 dated 2022-04-04 and 0.2.1 dated 2025-09-04

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Package fresh updated to version 0.2.2 with previous version 0.2.1 dated 2024-06-26

Title: Create Custom 'Bootstrap' Themes to Use in 'Shiny'
Description: Customize 'Bootstrap' and 'Bootswatch' themes, like colors, fonts, grid layout, to use in 'Shiny' applications, 'rmarkdown' documents and 'flexdashboard'.
Author: Victor Perrier [aut, cre, cph], Fanny Meyer [aut], Thomas Park [ctb, cph] , Mark Otto [ctb] , Jacob Thornton [ctb] , Bootstrap contributors [ctb] , Twitter, Inc [cph] , onkbear [ctb, cph] , Colorlib [ctb, cph]
Maintainer: Victor Perrier <victor.perrier@dreamrs.fr>

Diff between fresh versions 0.2.1 dated 2024-06-26 and 0.2.2 dated 2025-09-04

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Package unhcrthemes updated to version 0.7.1 with previous version 0.7.0 dated 2025-06-27

Title: UNHCR 'ggplot2' Theme and Colour Palettes
Description: A 'ggplot2' theme and color palettes following the United Nations High Commissioner for Refugees (UNHCR) Data Visualization Guidelines recommendations.
Author: Cedric Vidonne [aut, cre], Ahmadou Dicko [aut], UNHCR [cph]
Maintainer: Cedric Vidonne <cedric@vidonne.me>

Diff between unhcrthemes versions 0.7.0 dated 2025-06-27 and 0.7.1 dated 2025-09-04

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Package lemon updated to version 0.5.2 with previous version 0.5.1 dated 2025-07-22

Title: Freshing Up your 'ggplot2' Plots
Description: Functions for working with legends and axis lines of 'ggplot2', facets that repeat axis lines on all panels, and some 'knitr' extensions.
Author: Stefan McKinnon Edwards [aut, ctb, cre] , Baptiste Auguie [ctb] , Shaun Jackman [ctb] , Hadley Wickham [ctb] , Winston Chang [ctb]
Maintainer: Stefan McKinnon Edwards <sme@iysik.com>

Diff between lemon versions 0.5.1 dated 2025-07-22 and 0.5.2 dated 2025-09-04

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Package brickster updated to version 0.2.9 with previous version 0.2.8.1 dated 2025-07-20

Title: R Toolkit for 'Databricks'
Description: Collection of utilities that improve using 'Databricks' from R. Primarily functions that wrap specific 'Databricks' APIs (<https://docs.databricks.com/api>), 'RStudio' connection pane support, quality of life functions to make 'Databricks' simpler to use.
Author: Zac Davies [aut, cre], Rafi Kurlansik [aut], Databricks [cph, fnd]
Maintainer: Zac Davies <zac@databricks.com>

Diff between brickster versions 0.2.8.1 dated 2025-07-20 and 0.2.9 dated 2025-09-04

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Package wbids updated to version 1.1.0 with previous version 1.0.0 dated 2025-02-08

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

Diff between wbids versions 1.0.0 dated 2025-02-08 and 1.1.0 dated 2025-09-04

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Package visNetwork updated to version 2.1.4 with previous version 2.1.2 dated 2022-09-29

Title: Network Visualization using 'vis.js' Library
Description: Provides an R interface to the 'vis.js' JavaScript charting library. It allows an interactive visualization of networks.
Author: Almende B.V. and Contributors [aut, cph] , Benoit Thieurmel [aut, cre]
Maintainer: Benoit Thieurmel <bthieurmel@gmail.com>

Diff between visNetwork versions 2.1.2 dated 2022-09-29 and 2.1.4 dated 2025-09-04

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Package spatialreg updated to version 1.4-1 with previous version 1.3-6 dated 2024-12-02

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

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Package Ryacas0 updated to version 0.4.5 with previous version 0.4.4 dated 2023-01-12

Title: Legacy 'Ryacas' (Interface to 'Yacas' Computer Algebra System)
Description: A legacy version of 'Ryacas', an interface to the 'yacas' computer algebra system (<http://www.yacas.org/>).
Author: Mikkel Meyer Andersen [aut, cre, cph], Rob Goedman [aut, cph], Gabor Grothendieck [aut, cph], Soeren Hoejsgaard [aut, cph], Grzegorz Mazur [aut, cph], Ayal Pinkus [aut, cph], Nemanja Trifunovic [cph] )
Maintainer: Mikkel Meyer Andersen <mikl@math.aau.dk>

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Package robustbase updated to version 0.99-6 with previous version 0.99-4-1 dated 2024-09-27

Title: Basic Robust Statistics
Description: "Essential" Robust Statistics. Tools allowing to analyze data with robust methods. This includes regression methodology including model selections and multivariate statistics where we strive to cover the book "Robust Statistics, Theory and Methods" by 'Maronna, Martin and Yohai'; Wiley 2006.
Author: Martin Maechler [aut, cre] , Peter Rousseeuw [ctb] , Christophe Croux [ctb] , Valentin Todorov [aut] , Andreas Ruckstuhl [aut] , Matias Salibian-Barrera [aut] , Tobias Verbeke [ctb, fnd] , Manuel Koller [aut] , Eduardo L. T. Conceicao [aut] , Maria A [...truncated...]
Maintainer: Martin Maechler <maechler@stat.math.ethz.ch>

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Package periscope2 updated to version 0.3.0 with previous version 0.2.4 dated 2025-04-14

Title: Enterprise Streamlined 'shiny' Application Framework Using 'bs4Dash'
Description: A framework for building enterprise, scalable and UI-standardized 'shiny' applications. It brings enhanced features such as 'bootstrap' v4 <https://getbootstrap.com/docs/4.0/getting-started/introduction/>, additional and enhanced 'shiny' modules, customizable UI features, as well as an enhanced application file organization paradigm. This update allows developers to harness the ability to build powerful applications and enriches the 'shiny' developers' experience when building and maintaining applications.
Author: Mohammed Ali [aut, cre], Constance Brett [ctb], Aggregate Genius Inc [spn]
Maintainer: Mohammed Ali <mohammed@aggregate-genius.com>

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Package parcats updated to version 0.1.0 with previous version 0.0.5 dated 2023-12-10

Title: Interactive Parallel Categories Diagrams for 'easyalluvial'
Description: Complex graphical representations of data are best explored using interactive elements. 'parcats' adds interactive graphing capabilities to the 'easyalluvial' package. The 'plotly.js' parallel categories diagrams offer a good framework for creating interactive flow graphs that allow manual drag and drop sorting of dimensions and categories, highlighting single flows and displaying mouse over information. The 'plotly.js' dependency is quite heavy and therefore is outsourced into a separate package.
Author: Bjoern Koneswarakantha [aut, cre]
Maintainer: Bjoern Koneswarakantha <datistics@gmail.com>

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Package multid updated to version 1.0.1 with previous version 1.0.0 dated 2024-02-15

Title: Multivariate Difference Between Two Groups
Description: Estimation of multivariate differences between two groups (e.g., multivariate sex differences) with regularized regression methods and predictive approach. See Ilmarinen et al. (2023) <doi:10.1177/08902070221088155>. Deconstructing difference score correlations (e.g., gender-equality paradox), see Ilmarinen & Lönnqvist (2024) <doi:10.1037/pspp0000508>. Includes also tools that help in understanding difference score reliability, conditional intra-class correlations, tail-dependency, and heterogeneity of variance estimates. Package development was supported by the Academy of Finland research grant 338891.
Author: Ville-Juhani Ilmarinen [aut, cre]
Maintainer: Ville-Juhani Ilmarinen <vj.ilmarinen@gmail.com>

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Package modeltime.ensemble updated to version 1.1.0 with previous version 1.0.5 dated 2025-08-28

Title: Ensemble Algorithms for Time Series Forecasting with Modeltime
Description: A 'modeltime' extension that implements time series ensemble forecasting methods including model averaging, weighted averaging, and stacking. These techniques are popular methods to improve forecast accuracy and stability.
Author: Matt Dancho [aut, cre], Business Science [cph]
Maintainer: Matt Dancho <mdancho@business-science.io>

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Package mlr3measures updated to version 1.1.0 with previous version 1.0.0 dated 2024-09-11

Title: Performance Measures for 'mlr3'
Description: Implements multiple performance measures for supervised learning. Includes over 40 measures for regression and classification. Additionally, meta information about the performance measures can be queried, e.g. what the best and worst possible performances scores are.
Author: Michel Lang [aut] , Martin Binder [ctb], Marc Becker [cre, aut] , Lona Koers [aut]
Maintainer: Marc Becker <marcbecker@posteo.de>

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Package mirai updated to version 2.5.0 with previous version 2.4.1 dated 2025-07-15

Title: Minimalist Async Evaluation Framework for R
Description: Designed for simplicity, a 'mirai' evaluates an R expression asynchronously in a parallel process, locally or distributed over the network. Modern networking and concurrency, built on 'nanonext' and 'NNG', ensures reliable scheduling over fast inter-process communications or TCP/IP secured by TLS. Launch remote resources via SSH or cluster managers for distributed computing. Scales efficiently to millions of tasks over thousands of connections, requiring no storage on the file system due to its inherently queued architecture. Innovative features include event-driven promises, asynchronous parallel map, and seamless serialization of otherwise non-exportable reference objects.
Author: Charlie Gao [aut, cre] , Joe Cheng [ctb], Posit Software, PBC [cph, fnd] , Hibiki AI Limited [cph]
Maintainer: Charlie Gao <charlie.gao@posit.co>

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Package istacr updated to version 0.3.0 with previous version 0.2.2 dated 2022-12-20

Title: Obtaining Open Data from Instituto Canario De Estadistica (ISTAC) API
Description: You can access to open data published in Instituto Canario De Estadistica (ISTAC) APIs at <https://datos.canarias.es/api/estadisticas/>.
Author: Alberto Gonzalez [cph], Elisa Jorge [aut, cre]
Maintainer: Elisa Jorge <ejorgon@gobiernodecanarias.org>

Diff between istacr versions 0.2.2 dated 2022-12-20 and 0.3.0 dated 2025-09-04

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 R/indicators-geographic.R                                                             |  122 +-
 R/indicators-indicators.R                                                             |  149 +--
 R/indicators-systems.R                                                                |  212 ++---
 R/services.R                                                                          |  361 ++++----
 R/statistical-resources-cubes.R                                                       |  194 ++--
 R/statistical-resources-queries.R                                                     |  130 +--
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Package intSDM readmission to version 2.1.2 with previous version 2.1.1 dated 2025-01-13

Title: Reproducible Integrated Species Distribution Models Across Norway using 'INLA'
Description: Integration of disparate datasets is needed in order to make efficient use of all available data and thereby address the issues currently threatening biodiversity. Data integration is a powerful modeling framework which allows us to combine these datasets together into a single model, yet retain the strengths of each individual dataset. We therefore introduce the package, 'intSDM': an R package designed to help ecologists develop a reproducible workflow of integrated species distribution models, using data both provided from the user as well as data obtained freely online. An introduction to data integration methods is discussed in Issac, Jarzyna, Keil, Dambly, Boersch-Supan, Browning, Freeman, Golding, Guillera-Arroita, Henrys, Jarvis, Lahoz-Monfort, Pagel, Pescott, Schmucki, Simmonds and O’Hara (2020) <doi:10.1016/j.tree.2019.08.006>.
Author: Philip Mostert [aut, cre], Angeline Bruls [aut], Ragnhild {Bjoerkas} [aut], Wouter Koch [aut], Ellen Martin [aut]
Maintainer: Philip Mostert <philip.s.mostert@ntnu.no>

This is a re-admission after prior archival of version 2.1.1 dated 2025-01-13

Diff between intSDM versions 2.1.1 dated 2025-01-13 and 2.1.2 dated 2025-09-04

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Package gganimate updated to version 1.0.11 with previous version 1.0.10 dated 2025-06-21

Title: A Grammar of Animated Graphics
Description: The grammar of graphics as implemented in the 'ggplot2' package has been successful in providing a powerful API for creating static visualisation. In order to extend the API for animated graphics this package provides a completely new set of grammar, fully compatible with 'ggplot2' for specifying transitions and animations in a flexible and extensible way.
Author: Thomas Lin Pedersen [aut, cre] , David Robinson [aut], Posit, PBC [cph, fnd]
Maintainer: Thomas Lin Pedersen <thomasp85@gmail.com>

Diff between gganimate versions 1.0.10 dated 2025-06-21 and 1.0.11 dated 2025-09-04

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Permanent link

Package UKB.COVID19 (with last version 0.1.6) was removed from CRAN

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

2024-08-17 0.1.6
2024-07-22 0.1.5
2024-01-24 0.1.4
2022-01-04 0.1.3
2021-12-19 0.1.2

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Package rredlist updated to version 1.1.1 with previous version 1.1.0 dated 2025-07-27

Title: 'IUCN' Red List Client
Description: 'IUCN' Red List (<https://api.iucnredlist.org/>) client. The 'IUCN' Red List is a global list of threatened and endangered species. Functions cover all of the Red List 'API' routes. An 'API' key is required.
Author: William Gearty [aut, cre] , Scott Chamberlain [aut] , rOpenSci [fnd] , Maelle Salmon [ctb] , Kevin Cazelles [rev] , Stephanie Hazlitt [rev]
Maintainer: William Gearty <willgearty@gmail.com>

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Package mockery updated to version 0.4.5 with previous version 0.4.4 dated 2023-09-26

Title: Mocking Library for R
Description: The two main functionalities of this package are creating mock objects (functions) and selectively intercepting calls to a given function that originate in some other function. It can be used with any testing framework available for R. Mock objects can be injected with either this package's own stub() function or a similar with_mocked_binding() facility present in the 'testthat' package.
Author: Noam Finkelstein [aut], Lukasz Bartnik [aut], Jim Hester [aut], Hadley Wickham [aut, cre]
Maintainer: Hadley Wickham <hadley@posit.co>

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Package leaflet updated to version 2.2.3 with previous version 2.2.2 dated 2024-03-26

Title: Create Interactive Web Maps with the JavaScript 'Leaflet' Library
Description: Create and customize interactive maps using the 'Leaflet' JavaScript library and the 'htmlwidgets' package. These maps can be used directly from the R console, from 'RStudio', in Shiny applications and R Markdown documents.
Author: Joe Cheng [aut], Barret Schloerke [aut] , Bhaskar Karambelkar [aut], Yihui Xie [aut], Garrick Aden-Buie [aut, cre] , Hadley Wickham [ctb], Kenton Russell [ctb], Kent Johnson [ctb], Vladimir Agafonkin [ctb, cph] , CloudMade [cph] , Leaflet contributor [...truncated...]
Maintainer: Garrick Aden-Buie <garrick@posit.co>

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Package gamlss.data updated to version 6.0-7 with previous version 6.0-6 dated 2024-03-14

Title: Data for Generalized Additive Models for Location Scale and Shape
Description: Data used as examples in the books on Generalized Additive Models for Location Scale and Shape: Stasinopoulos, Rigby, Heller, Voudouris, De Bastiani (2017). Flexible Regression and Smoothing: Using GAMLSS in R, <doi:10.1201/b21973>. Rigby, Stasinopoulos, Heller, De Bastiani (2019). Distributions for Modeling Location, Scale, and Shape Using GAMLSS in R, <doi:10.1201/9780429298547>. Stasinopoulos, Kneib, Klein, Mayr, Heller (2024). Generalized Additive Models for Location, Scale and Shape: A Distributional Regression Approach, with Applications, <doi:10.1017/9781009410076>.
Author: Mikis Stasinopoulos [aut, cre] , Robert Rigby [aut] , Fernanda De Bastiani [ctb]
Maintainer: Mikis Stasinopoulos <d.stasinopoulos@gre.ac.uk>

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Package Ecdat updated to version 0.4.7 with previous version 0.4-2 dated 2022-10-15

Title: Data Sets for Econometrics
Description: Data sets for econometrics, including political science.
Author: Yves Croissant [aut], Spencer Graves [aut, cre, ctb]
Maintainer: Spencer Graves <spencer.graves@effectivedefense.org>

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Package dials updated to version 1.4.2 with previous version 1.4.1 dated 2025-07-29

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

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Package cppcontainers readmission to version 1.0.5 with previous version 1.0.4 dated 2025-01-15

Title: 'C++' Standard Template Library Containers
Description: Use 'C++' Standard Template Library containers interactively in R. Includes sets, unordered sets, multisets, unordered multisets, maps, unordered maps, multimaps, unordered multimaps, stacks, queues, priority queues, vectors, deques, forward lists, and lists.
Author: Christian Dueben [aut, cre]
Maintainer: Christian Dueben <cdueben.ml+cran@proton.me>

This is a re-admission after prior archival of version 1.0.4 dated 2025-01-15

Diff between cppcontainers versions 1.0.4 dated 2025-01-15 and 1.0.5 dated 2025-09-04

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Package synMicrodata updated to version 2.1.1 with previous version 2.1.0 dated 2024-11-21

Title: Synthetic Microdata Generator
Description: This tool fits a non-parametric Bayesian model called a "hierarchically coupled mixture model with local dependence (HCMM-LD)" to the original microdata in order to generate synthetic microdata for privacy protection. The non-parametric feature of the adopted model is useful for capturing the joint distribution of the original input data in a highly flexible manner, leading to the generation of synthetic data whose distributional features are similar to that of the input data. The package allows the original input data to have missing values and impute them with the posterior predictive distribution, so no missing values exist in the synthetic data output. The method builds on the work of Murray and Reiter (2016) <doi:10.1080/01621459.2016.1174132>.
Author: Juhee Lee [aut, cre], Hang J. Kim [aut], Young-Min Kim [aut], Jared Murray [aut]
Maintainer: Juhee Lee <ljh988488@gmail.com>

Diff between synMicrodata versions 2.1.0 dated 2024-11-21 and 2.1.1 dated 2025-09-04

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Package SNPfiltR readmission to version 1.0.7 with previous version 1.0.1 dated 2023-03-17

Title: Interactively Filter SNP Datasets
Description: Is designed to interactively and reproducibly visualize and filter SNP (single-nucleotide polymorphism) datasets. This R-based implementation of SNP and genotype filters facilitates an interactive and iterative SNP filtering pipeline, which can be documented reproducibly via 'rmarkdown'. 'SNPfiltR' contains functions for visualizing various quality and missing data metrics for a SNP dataset, and then filtering the dataset based on user specified cutoffs. All functions take 'vcfR' objects as input, which can easily be generated by reading standard vcf (variant call format) files into R using the R package 'vcfR' authored by Knaus and Grünwald (2017) <doi:10.1111/1755-0998.12549>. Each 'SNPfiltR' function can return a newly filtered 'vcfR' object, which can then be written to a local directory in standard vcf format using the 'vcfR' package, for downstream population genetic and phylogenetic analyses.
Author: Devon DeRaad [aut, cre]
Maintainer: Devon DeRaad <devonderaad@gmail.com>

This is a re-admission after prior archival of version 1.0.1 dated 2023-03-17

Diff between SNPfiltR versions 1.0.1 dated 2023-03-17 and 1.0.7 dated 2025-09-04

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Package ppmf updated to version 0.2.1 with previous version 0.1.3 dated 2021-12-15

Title: Read Census Privacy Protected Microdata Files
Description: Implements data processing described in <doi:10.1126/sciadv.abk3283> to align modern differentially private data with formatting of older US Census data releases. The primary goal is to read in Census Privacy Protected Microdata Files data in a reproducible way. This includes tools for aggregating to relevant levels of geography by creating geographic identifiers which match the US Census Bureau's numbering. Additionally, there are tools for grouping race numeric identifiers into categories, consistent with OMB (Office of Management and Budget) classifications. Functions exist for downloading and linking to existing sources of privacy protected microdata.
Author: Christopher T. Kenny [aut, cre]
Maintainer: Christopher T. Kenny <ctkenny@proton.me>

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Package planscorer updated to version 0.0.3 with previous version 0.0.2 dated 2024-09-24

Title: Score Redistricting Plans with 'PlanScore'
Description: Provides access to the 'PlanScore' Application Programming Interface (<https://github.com/PlanScore/PlanScore/blob/main/API.md>) for scoring redistricting plans. Allows for upload of plans from block assignment files and shape files. For shapes in memory, such as from 'sf' or 'redist', it processes them to save and upload. Includes tools for tidying responses and saving output from the website.
Author: Christopher T. Kenny [aut, trl, cre] , Michal Migurski [aut] , Cory McCartan [art]
Maintainer: Christopher T. Kenny <ctkenny@proton.me>

Diff between planscorer versions 0.0.2 dated 2024-09-24 and 0.0.3 dated 2025-09-04

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Package patterncausality updated to version 0.2.2 with previous version 0.2.1 dated 2025-02-15

Title: Pattern Causality Algorithm
Description: A comprehensive package for detecting and analyzing causal relationships in complex systems using pattern-based approaches. Key features include state space reconstruction, pattern identification, and causality strength evaluation.
Author: Stavros Stavroglou [aut, cre] , Athanasios Pantelous [aut] , Hui Wang [aut]
Maintainer: Stavros Stavroglou <stavros.k.stavroglou@gmail.com>

Diff between patterncausality versions 0.2.1 dated 2025-02-15 and 0.2.2 dated 2025-09-04

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Package opengraph updated to version 0.0.3 with previous version 0.0.2 dated 2024-12-10

Title: Process Metadata from the 'Open Graph Protocol'
Description: Social media sites often embed cards when links are shared, based on metadata in the 'Open Graph Protocol' (<https://ogp.me/>). This supports extracting that metadata from a website. It further allows for the creation of tags to add to a website to support the 'Open Graph Protocol' and provides a list of the standard tags and their required properties.
Author: Christopher T. Kenny [aut, cre]
Maintainer: Christopher T. Kenny <ctkenny@proton.me>

Diff between opengraph versions 0.0.2 dated 2024-12-10 and 0.0.3 dated 2025-09-04

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Package OmicFlow updated to version 1.3.1 with previous version 1.3.0 dated 2025-09-01

Title: Fast and Efficient (Automated) Analysis of Sparse Omics Data
Description: A generalised data structure for fast and efficient loading and data munching of sparse omics data. The 'OmicFlow' requires an up-front validated metadata template from the user, which serves as a guide to connect all the pieces together by aligning them into a single object that is defined as an 'omics' class. Once this unified structure is established, users can perform manual subsetting, visualisation, and statistical analysis, or leverage the automated 'autoFlow' method to generate a comprehensive report.
Author: Alem Gusinac [aut, cre] , Thomas Ederveen [aut] , Annemarie Boleij [aut, fnd]
Maintainer: Alem Gusinac <alem.gusinac@gmail.com>

Diff between OmicFlow versions 1.3.0 dated 2025-09-01 and 1.3.1 dated 2025-09-04

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Package mdendro updated to version 2.2.3 with previous version 2.2.2 dated 2025-08-20

Title: Extended Agglomerative Hierarchical Clustering
Description: A comprehensive collection of linkage methods for agglomerative hierarchical clustering on a matrix of proximity data (distances or similarities), returning a multifurcated dendrogram or multidendrogram. Multidendrograms can group more than two clusters when ties in proximity data occur, and therefore they do not depend on the order of the input data. Descriptive measures to analyze the resulting dendrogram are additionally provided. <doi:10.18637/jss.v114.i02>.
Author: Alberto Fernandez [aut, cre] , Sergio Gomez [aut]
Maintainer: Alberto Fernandez <alberto.fernandez@urv.cat>

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Package lfstat updated to version 0.9.13 with previous version 0.9.12 dated 2022-11-08

Title: Calculation of Low Flow Statistics for Daily Stream Flow Data
Description: The "Manual on Low-flow Estimation and Prediction" (Gustard & Demuth (2009, ISBN:978-92-63-11029-9)), published by the World Meteorological Organisation, gives a comprehensive summary on how to analyse stream flow data focusing on low-flows. This packages provides functions to compute the described statistics and produces plots similar to the ones in the manual.
Author: Tobias Gauster [ctb, cre], Gregor Laaha [aut] , Daniel Koffler [aut]
Maintainer: Tobias Gauster <t.gauster@gmail.com>

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

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

2025-05-27 1.1.0

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Package mlr3batchmark updated to version 0.2.2 with previous version 0.2.1 dated 2025-05-26

Title: Batch Experiments for 'mlr3'
Description: Extends the 'mlr3' package with a connector to the package 'batchtools'. This allows to run large-scale benchmark experiments on scheduled high-performance computing clusters.
Author: Marc Becker [cre, aut] , Michel Lang [aut] , Toby Hocking [ctb]
Maintainer: Marc Becker <marcbecker@posteo.de>

Diff between mlr3batchmark versions 0.2.1 dated 2025-05-26 and 0.2.2 dated 2025-09-04

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Package classifly (with last version 0.4.1) was removed from CRAN

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

2022-05-20 0.4.1
2014-04-23 0.4
2011-01-29 0.3
2007-03-14 0.2.3

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Package kinship2 updated to version 1.9.6.2 with previous version 1.9.6.1 dated 2024-03-24

Title: Pedigree Functions
Description: Routines to handle family data with a pedigree object. The initial purpose was to create correlation structures that describe family relationships such as kinship and identity-by-descent, which can be used to model family data in mixed effects models, such as in the coxme function. Also includes a tool for pedigree drawing which is focused on producing compact layouts without intervention. Recent additions include utilities to trim the pedigree object with various criteria, and kinship for the X chromosome.
Author: Jason Sinnwell [aut, cre], Terry Therneau [aut], Daniel Schaid [ctb], Elizabeth Atkinson [ctb], Carly Mester [ctb]
Maintainer: Jason Sinnwell <sinnwell.jason@mayo.edu>

Diff between kinship2 versions 1.9.6.1 dated 2024-03-24 and 1.9.6.2 dated 2025-09-04

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Package InterpolateR updated to version 1.4-3 with previous version 1.3-4 dated 2025-05-02

Title: A Comprehensive Toolkit for Fast and Efficient Spatial Interpolation
Description: Spatial interpolation toolkit designed for environmental and geospatial applications. It includes a range of methods, from traditional techniques to advanced machine learning approaches, ensuring accurate and efficient estimation of values in unobserved locations.
Author: Jonnathan Landi [aut, cre, cph] , Marco Mogro [aut]
Maintainer: Jonnathan Landi <jonnathan.landi@outlook.com>

Diff between InterpolateR versions 1.3-4 dated 2025-05-02 and 1.4-3 dated 2025-09-04

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Package BoomSpikeSlab updated to version 1.2.7 with previous version 1.2.6 dated 2023-12-16

Title: MCMC for Spike and Slab Regression
Description: Spike and slab regression with a variety of residual error distributions corresponding to Gaussian, Student T, probit, logit, SVM, and a few others. Spike and slab regression is Bayesian regression with prior distributions containing a point mass at zero. The posterior updates the amount of mass on this point, leading to a posterior distribution that is actually sparse, in the sense that if you sample from it many coefficients are actually zeros. Sampling from this posterior distribution is an elegant way to handle Bayesian variable selection and model averaging. See <DOI:10.1504/IJMMNO.2014.059942> for an explanation of the Gaussian case.
Author: Steven L. Scott [aut, cre]
Maintainer: Steven L. Scott <steve.the.bayesian@gmail.com>

Diff between BoomSpikeSlab versions 1.2.6 dated 2023-12-16 and 1.2.7 dated 2025-09-04

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