Wed, 17 Sep 2025

Package jmv updated to version 2.7.7 with previous version 2.7.0 dated 2025-06-11

Title: The 'jamovi' Analyses
Description: A suite of common statistical methods such as descriptives, t-tests, ANOVAs, regression, correlation matrices, proportion tests, contingency tables, and factor analysis. This package is also useable from the 'jamovi' statistical spreadsheet (see <https://www.jamovi.org> for more information).
Author: Ravi Selker [aut, cph], Jonathon Love [aut, cre, cph], Damian Dropmann [aut, cph], Victor Moreno [ctb, cph], Maurizio Agosti [ctb, cph], Sebastian Jentschke [ctb, cph]
Maintainer: Jonathon Love <jon@thon.cc>

Diff between jmv versions 2.7.0 dated 2025-06-11 and 2.7.7 dated 2025-09-17

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Package spinebil updated to version 1.0.4 with previous version 0.1.6 dated 2025-07-11

Title: Investigating New Projection Pursuit Index Functions
Description: Projection pursuit is used to find interesting low-dimensional projections of high-dimensional data by optimizing an index over all possible projections. The 'spinebil' package contains methods to evaluate the performance of projection pursuit index functions using tour methods. A paper describing the methods can be found at <doi:10.1007/s00180-020-00954-8>.
Author: Ursula Laa [aut] , Dianne Cook [aut] , Tina Rashid Jafari [aut, cre]
Maintainer: Tina Rashid Jafari <tina.rashidjafari@gmail.com>

Diff between spinebil versions 0.1.6 dated 2025-07-11 and 1.0.4 dated 2025-09-17

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Package RcppHMM updated to version 1.2.2.1 with previous version 1.2.2 dated 2017-11-21

Title: Rcpp Hidden Markov Model
Description: Collection of functions to evaluate sequences, decode hidden states and estimate parameters from a single or multiple sequences of a discrete time Hidden Markov Model. The observed values can be modeled by a multinomial distribution for categorical/labeled emissions, a mixture of Gaussians for continuous data and also a mixture of Poissons for discrete values. It includes functions for random initialization, simulation, backward or forward sequence evaluation, Viterbi or forward-backward decoding and parameter estimation using an Expectation-Maximization approach.
Author: Roberto A. Cardenas-Ovando [aut, cre], Julieta Noguez [aut], Claudia Rangel-Escareno [aut]
Maintainer: Roberto A. Cardenas-Ovando <robalecarova@gmail.com>

Diff between RcppHMM versions 1.2.2 dated 2017-11-21 and 1.2.2.1 dated 2025-09-17

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Package camelsCL (with last version 0.1-10) was removed from CRAN

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

2025-09-10 0.1-10

Permanent link
Package incR updated to version 2.1.1 with previous version 2.1.0 dated 2023-04-18

Title: Analysis of Incubation Data
Description: Suite of functions to study animal incubation. At the core of incR lies an algorithm that allows for the scoring of incubation behaviour. Additionally, several functions extract biologically relevant metrics of incubation such as off-bout number and off-bout duration - for a review of avian incubation studies, see Nests, Eggs, and Incubation: New ideas about avian reproduction (2015) edited by D. Charles Deeming and S. James Reynolds <doi:10.1093/acprof:oso/9780198718666.001.0001>.
Author: Pablo Capilla-Lasheras [aut, cre]
Maintainer: Pablo Capilla-Lasheras <pacapilla@gmail.com>

Diff between incR versions 2.1.0 dated 2023-04-18 and 2.1.1 dated 2025-09-17

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Package cheem updated to version 0.4.2 with previous version 0.4.1 dated 2025-08-26

Title: Interactively Explore Local Explanations with the Radial Tour
Description: Given a non-linear model, calculate the local explanation. We purpose view the data space, explanation space, and model residuals as ensemble graphic interactive on a shiny application. After an observation of interest is identified, the normalized variable importance of the local explanation is used as a 1D projection basis. The support of the local explanation is then explored by changing the basis with the use of the radial tour <doi:10.32614/RJ-2020-027>; <doi:10.1080/10618600.1997.10474754>.
Author: Nicholas Spyrison [aut, cre]
Maintainer: Nicholas Spyrison <spyrison@gmail.com>

Diff between cheem versions 0.4.1 dated 2025-08-26 and 0.4.2 dated 2025-09-17

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Package PPMR updated to version 1.0.1 with previous version 1.0 dated 2019-08-09

Title: Probabilistic Two Sample Mendelian Randomization
Description: Efficient statistical inference of two-sample MR (Mendelian Randomization) analysis. It can account for the correlated instruments and the horizontal pleiotropy, and can provide the accurate estimates of both causal effect and horizontal pleiotropy effect as well as the two corresponding p-values. There are two main functions in the 'PPMR' package. One is PMR_individual() for individual level data, the other is PMR_summary() for summary data.
Author: Zhongshang Yuan [aut], Xiang Zhou [aut], Michael Kleinsasser [cre]
Maintainer: Michael Kleinsasser <mkleinsa@umich.edu>

Diff between PPMR versions 1.0 dated 2019-08-09 and 1.0.1 dated 2025-09-17

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Package metabodecon updated to version 1.6.2 with previous version 1.2.6 dated 2025-01-21

Title: Deconvolution and Alignment of 1d NMR Spectra
Description: A framework for deconvolution, alignment and postprocessing of 1-dimensional (1d) nuclear magnetic resonance (NMR) spectra, resulting in a data matrix of aligned signal integrals. The deconvolution part uses the algorithm described in Koh et al. (2009) <doi:10.1016/j.jmr.2009.09.003>. The alignment part is based on functions from the 'speaq' package, described in Beirnaert et al. (2018) <doi:10.1371/journal.pcbi.1006018> and Vu et al. (2011) <doi:10.1186/1471-2105-12-405>. A detailed description and evaluation of an early version of the package, 'MetaboDecon1D v0.2.2', can be found in Haeckl et al. (2021) <doi:10.3390/metabo11070452>.
Author: Tobias Schmidt [aut, cre, cph], Martina Haeckl [aut, cph], Yanren Linda Hu [ctb], Wolfram Gronwald [aut, cph]
Maintainer: Tobias Schmidt <tobias.schmidt331@gmail.com>

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Package EMLI updated to version 0.3.0 with previous version 0.2.0 dated 2022-11-20

Title: Computationally Efficient Maximum Likelihood Identification of Linear Dynamical Systems
Description: Provides implementations of computationally efficient maximum likelihood parameter estimation algorithms for models representing linear dynamical systems. Currently, two such algorithms (one offline and one online) are implemented for the single-output cumulative structural equation model with an additive-noise output measurement equation and assumptions of normality and independence. The corresponding scientific papers are referenced in the descriptions of the functions implementing these algorithms.
Author: Vytautas Dulskis [cre, aut], Leonidas Sakalauskas [aut]
Maintainer: Vytautas Dulskis <vytautas.dulskis@gmail.com>

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Package ColombiAPI updated to version 0.2.0 with previous version 0.1.1 dated 2025-02-16

Title: Access Colombian Data via APIs and Curated Datasets
Description: Provides a comprehensive interface to access diverse public data about Colombia through multiple APIs and curated datasets. The package integrates four different APIs: 'API-Colombia' for Colombian-specific data including geography, culture, tourism, and government information; 'World Bank API' for economic and demographic indicators; 'Nager.Date' for public holidays; and 'REST Countries API' for general country information. The package enables users to explore various aspects of Colombia such as geographic locations, cultural attractions, economic indicators, demographic data, and public holidays. Additionally, 'ColombiAPI' includes curated datasets covering Bogota air stations, business and holiday dates, public schools, Colombian coffee exports, cannabis licenses, Medellin rainfall, and malls in Bogota, making it a comprehensive tool for exploring Colombia's multifaceted data landscape. For more information on the APIs, see: 'API-Colombia' <https://api-colombia.com/>, 'Nager.Da [...truncated...]
Author: Renzo Caceres Rossi [aut, cre]
Maintainer: Renzo Caceres Rossi <arenzocaceresrossi@gmail.com>

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Package gsaot updated to version 1.1.1 with previous version 1.1.0 dated 2025-07-18

Title: Compute Global Sensitivity Analysis Indices Using Optimal Transport
Description: Computing Global Sensitivity Indices from given data using Optimal Transport, as defined in Borgonovo et al (2024) <doi:10.1287/mnsc.2023.01796>. You provide an input sample, an output sample, decide the algorithm, and compute the indices.
Author: Leonardo Chiani [aut, cre, cph] , Emanuele Borgonovo [rev], Elmar Plischke [rev], Massimo Tavoni [rev]
Maintainer: Leonardo Chiani <leonardo.chiani@polimi.it>

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Package activPAL updated to version 0.1.4 with previous version 0.1.3 dated 2019-07-18

Title: Advanced Processing and Chart Generation from activPAL Events Files
Description: Contains functions to generate pre-defined summary statistics from activPAL events files <https://www.palt.com/>. The package also contains functions to produce informative graphics that visualise physical activity behaviour and trends. This includes generating graphs that align physical activity behaviour with additional time based observations described by other data sets, such as sleep diaries and continuous glucose monitoring data.
Author: Craig Speirs [aut, cre], Kate Lyden [ctb], Douglas Maxwell [ctb], David Loudon [ctb]
Maintainer: Craig Speirs <craig@paltechnologies.com>

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Package ggScatRidges readmission to version 1.1.0 with previous version 0.1.2 dated 2025-05-13

Title: Scatter Plot Combined with Ridgelines in 'ggplot2'
Description: The function combines a scatter plot with ridgelines to better visualise the distribution between sample groups. The plot is created with 'ggplot2'.
Author: Matthieu Bourgery [aut, cre]
Maintainer: Matthieu Bourgery <matthieu.bourgery@gmail.com>

This is a re-admission after prior archival of version 0.1.2 dated 2025-05-13

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Package BKP updated to version 0.2.2 with previous version 0.2.1 dated 2025-09-17

Title: Beta Kernel Process Modeling
Description: Implements the Beta Kernel Process (BKP) for nonparametric modeling of spatially varying binomial probabilities, together with its extension, the Dirichlet Kernel Process (DKP), for categorical or multinomial data. The package provides functions for model fitting, predictive inference with uncertainty quantification, posterior simulation, and visualization in one-and two-dimensional input spaces. Multiple kernel functions (Gaussian, Matern 5/2, and Matern 3/2) are supported, with hyperparameters optimized through multi-start gradient-based search. For more details, see Zhao, Qing, and Xu (2025) <doi:10.48550/arXiv.2508.10447>.
Author: Jiangyan Zhao [cre, aut], Kunhai Qing [aut], Jin Xu [aut]
Maintainer: Jiangyan Zhao <zhaojy2017@126.com>

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Package SurvRegCensCov updated to version 1.8 with previous version 1.7 dated 2023-09-27

Title: Weibull Regression for a Right-Censored Endpoint with Interval-Censored Covariate
Description: The function SurvRegCens() of this package allows estimation of a Weibull Regression for a right-censored endpoint, one interval-censored covariate, and an arbitrary number of non-censored covariates. Additional functions allow to switch between different parametrizations of Weibull regression used by different R functions, inference for the mean difference of two arbitrarily censored Normal samples, and estimation of canonical parameters from censored samples for several distributional assumptions. Hubeaux, S. and Rufibach, K. (2014) <doi:10.48550/arXiv.1402.0432>.
Author: Stanislas Hubeaux [aut, cre], Kaspar Rufibach [aut]
Maintainer: Stanislas Hubeaux <stan.hubeaux@bluewin.ch>

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Package postcard updated to version 1.1.0 with previous version 1.0.1 dated 2025-07-01

Title: Estimating Marginal Effects with Prognostic Covariate Adjustment
Description: Conduct power analyses and inference of marginal effects. Uses plug-in estimation and influence functions to perform robust inference, optionally leveraging historical data to increase precision with prognostic covariate adjustment. The methods are described in HĂžjbjerre-Frandsen et al. (2025) <doi:10.48550/arXiv.2503.22284>.
Author: Mathias Lerbech Jeppesen [aut, cre], Emilie Hojbjerre-Frandsen [aut], Novo Nordisk A/S [cph]
Maintainer: Mathias Lerbech Jeppesen <mathiasljeppesen@outlook.com>

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Package bife (with last version 0.7.2) was removed from CRAN

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

2022-08-11 0.7.2
2020-10-30 0.7.1
2020-01-12 0.7
2019-05-24 0.6
2018-03-07 0.5
2017-05-07 0.4
2017-05-04 0.3
2017-03-02 0.2
2016-07-29 0.1

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Package lodr (with last version 1.0) was removed from CRAN

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2021-10-21 1.1.2
2021-08-25 1.0.2
2021-08-12 1.0.1

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Package hdbm (with last version 0.9.0) was removed from CRAN

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2019-08-28 0.9.0

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2021-07-23 1.1.0

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2024-12-02 0.1.0

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2019-04-26 1.0.1
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2020-10-06 1.4
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Package UtilityFrailtyPH12 (with last version 1.0) was removed from CRAN

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2019-02-22 1.0

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2020-10-30 0.3.3
2020-01-12 0.3.2
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2019-05-14 0.3
2018-07-31 0.2

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Package FamilyRank (with last version 1.0) was removed from CRAN

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2019-12-06 1.2.1
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2024-07-27 1.1.0

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2022-01-26 0.2
2021-10-06 0.1.4
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2020-05-06 1.1
2018-11-30 1.0

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Package riskRegression updated to version 2025.09.17 with previous version 2025.05.20 dated 2025-05-20

Title: Risk Regression Models and Prediction Scores for Survival Analysis with Competing Risks
Description: Implementation of the following methods for event history analysis. Risk regression models for survival endpoints also in the presence of competing risks are fitted using binomial regression based on a time sequence of binary event status variables. A formula interface for the Fine-Gray regression model and an interface for the combination of cause-specific Cox regression models. A toolbox for assessing and comparing performance of risk predictions (risk markers and risk prediction models). Prediction performance is measured by the Brier score and the area under the ROC curve for binary possibly time-dependent outcome. Inverse probability of censoring weighting and pseudo values are used to deal with right censored data. Lists of risk markers and lists of risk models are assessed simultaneously. Cross-validation repeatedly splits the data, trains the risk prediction models on one part of each split and then summarizes and compares the performance across splits.
Author: Thomas Alexander Gerds [aut, cre], Johan Sebastian Ohlendorff [aut], Paul Blanche [ctb], Rikke Mortensen [ctb], Marvin Wright [ctb], Nikolaj Tollenaar [ctb], John Muschelli [ctb], Ulla Brasch Mogensen [ctb], Asbjoern Risom [ctb], Brice Ozenne [aut]
Maintainer: Thomas Alexander Gerds <tag@biostat.ku.dk>

Diff between riskRegression versions 2025.05.20 dated 2025-05-20 and 2025.09.17 dated 2025-09-17

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Package pillar updated to version 1.11.1 with previous version 1.11.0 dated 2025-07-04

Title: Coloured Formatting for Columns
Description: Provides 'pillar' and 'colonnade' generics designed for formatting columns of data using the full range of colours provided by modern terminals.
Author: Kirill Mueller [aut, cre] , Hadley Wickham [aut], RStudio [cph]
Maintainer: Kirill Mueller <kirill@cynkra.com>

Diff between pillar versions 1.11.0 dated 2025-07-04 and 1.11.1 dated 2025-09-17

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Package ggpath updated to version 1.1.0 with previous version 1.0.2 dated 2024-08-20

Title: Robust Image Rendering Support for 'ggplot2'
Description: A 'ggplot2' extension that enables robust image grobs in panels and theme elements.
Author: Sebastian Carl [aut, cre, cph]
Maintainer: Sebastian Carl <mrcaseb@gmail.com>

Diff between ggpath versions 1.0.2 dated 2024-08-20 and 1.1.0 dated 2025-09-17

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New package robRatio with initial version 0.1.0
Package: robRatio
Title: M-Estimators for Generalized Ratio and Linear Regression Models
Version: 0.1.0
Author: Kazumi Wada [aut, cre]
Maintainer: Kazumi Wada <kazwd2008@gmail.com>
Description: Robust estimators for generalized ratio model (Wada, Sakashita and Tsubaki, 2021)<doi:10.17713/ajs.v50i1.994> and linear regression model by the IRLS(iterative reweighted least squares) algorithm are contained.
License: GPL (>= 3)
URL: <https://github.com/kazwd2008/robRatio>
Encoding: UTF-8
Depends: stats
Suggests: knitr, MASS, rmarkdown, testthat (>= 3.0.0), latex2exp, RColorBrewer
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-09-12 07:44:47 UTC; wada
Repository: CRAN
Date/Publication: 2025-09-17 10:20:02 UTC

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New package isocubes with initial version 1.0.0
Package: isocubes
Title: Voxel Data Visualization with Isometric Cubes
Version: 1.0.0
Maintainer: Mike Cheng <mikefc@coolbutuseless.com>
Description: A voxel is a representation of a value on a regular, three-dimensional grid; it is the 3D equivalent of a 2D pixel. Voxel data can be visualised with this package using fixed viewpoint isometric cubes for each data point. This package also provides sample voxel data and tools for transforming the data.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: grid, methods
Suggests: png, ambient, knitr, rmarkdown, testthat (>= 3.0.0)
URL: https://github.com/coolbutuseless/isocubes
BugReports: https://github.com/coolbutuseless/isocubes/issues
VignetteBuilder: knitr
Depends: R (>= 4.1.0), colorfast (>= 1.0.1)
LazyData: true
LinkingTo: colorfast
NeedsCompilation: yes
Packaged: 2025-09-12 21:06:58 UTC; mike
Author: Mike Cheng [aut, cre, cph]
Repository: CRAN
Date/Publication: 2025-09-17 11:00:02 UTC

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New package descutils with initial version 1.0
Package: descutils
Title: Utilities for Describing and Comparing Data
Version: 1.0
Description: Provides functionality that assists in tabular description and statistical comparison of data.
License: GPL-3
Imports: dplyr, stringr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-09-12 15:26:05 UTC; kueck2
Author: Andreas Leha [aut], Fabian Kueck [aut, cre]
Maintainer: Fabian Kueck <fabian.kueck@med.uni-goettingen.de>
Repository: CRAN
Date/Publication: 2025-09-17 10:40:02 UTC

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New package cxreg with initial version 1.0.0
Package: cxreg
Title: Complex-Valued Lasso and Complex-Valued Graphical Lasso
Version: 1.0.0
Description: Implements 'glmnet'-style complex-valued lasso and complex-valued graphical lasso using a 'pathwise' coordinate descent algorithm for complex-valued parameters. The package provides supporting tools for estimation, simulation, and prediction. See Deb (2024) <doi:10.48550/ArXiv.2401.11128> for the algorithm description.
License: MIT + file LICENSE
Depends: R (>= 3.5.0)
Imports: fields, foreach, gdata, grDevices, Matrix, methods, mvtnorm, Rcpp, stats
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2025-09-12 18:00:19 UTC; yhkim
Author: Younghoon Kim [aut, cre], Navonil Deb [aut], Sumanta Basu [ctb]
Maintainer: Younghoon Kim <yk748@cornell.edu>
Repository: CRAN
Date/Publication: 2025-09-17 10:50:02 UTC

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New package BOLDconnectR with initial version 1.0.0
Package: BOLDconnectR
Title: Retrieve, Transform and Analyze the Barcode of Life Data Systems Data
Version: 1.0.0
Maintainer: Sameer Padhye <spadhye@uoguelph.ca>
Description: Facilitates retrieval, transformation and analysis of the data from the Barcode of Life Data Systems (BOLD) database <https://boldsystems.org/>. This package allows both public and private user data to be easily downloaded into the R environment using a variety of inputs such as: IDs (processid, sampleid), BINs, dataset codes, project codes, taxonomy, geography etc. It provides frictionless data conversion into formats compatible with other R-packages and third-party tools, as well as functions for sequence alignment & clustering, biodiversity analysis and spatial mapping.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.0.0)
Imports: ape(>= 5.5), BAT(>= 2.0), data.table(>= 1.13), dplyr(>= 1.0.1), ggplot2(>= 3.3.2), httr(>= 1.4.2), jsonlite(>= 1.7), maps(>= 3.3), methods, reshape2, rnaturalearth, sf(>= 0.9.4), skimr(>= 2.1.2), tidyr(>= 1.1.1), utils, vegan(>= 2.5.7)
Suggests: Biostrings, BiocManager, msa, muscle
NeedsCompilation: no
Packaged: 2025-09-12 13:31:40 UTC; samee
Author: Sameer Padhye [aut, cre], Liliana Ballesteros-Mejia [aut], Sujeevan Ratnasingham [aut]
Repository: CRAN
Date/Publication: 2025-09-17 10:40:07 UTC

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Package sjSDM updated to version 1.0.7 with previous version 1.0.6 dated 2024-08-19

Title: Scalable Joint Species Distribution Modeling
Description: A scalable and fast method for estimating joint Species Distribution Models (jSDMs) for big community data, including eDNA data. The package estimates a full (i.e. non-latent) jSDM with different response distributions (including the traditional multivariate probit model). The package allows to perform variation partitioning (VP) / ANOVA on the fitted models to separate the contribution of environmental, spatial, and biotic associations. In addition, the total R-squared can be further partitioned per species and site to reveal the internal metacommunity structure, see Leibold et al., <doi:10.1111/oik.08618>. The internal structure can then be regressed against environmental and spatial distinctiveness, richness, and traits to analyze metacommunity assembly processes. The package includes support for accounting for spatial autocorrelation and the option to fit responses using deep neural networks instead of a standard linear predictor. As described in Pichler & Hartig (2021) [...truncated...]
Author: Maximilian Pichler [aut, cre] , Florian Hartig [aut] , Wang Cai [ctb]
Maintainer: Maximilian Pichler <maximilian.pichler@biologie.uni-regensburg.de>

Diff between sjSDM versions 1.0.6 dated 2024-08-19 and 1.0.7 dated 2025-09-17

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Package semboottools updated to version 0.1.1 with previous version 0.1.0 dated 2025-04-01

Title: Bootstrapping Helpers for Structural Equation Modelling
Description: A collection of helper functions for forming bootstrapping confidence intervals and examining bootstrap estimates in structural equation modelling. Currently supports models fitted by the 'lavaan' package by Rosseel (2012) <doi: 10.18637/jss.v048.i02>.
Author: Wendie Yang [aut, cre] , Shu Fai Cheung [aut]
Maintainer: Wendie Yang <1581075494q@gmail.com>

Diff between semboottools versions 0.1.0 dated 2025-04-01 and 0.1.1 dated 2025-09-17

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Package broom.helpers updated to version 1.22.0 with previous version 1.21.0 dated 2025-04-24

Title: Helpers for Model Coefficients Tibbles
Description: Provides suite of functions to work with regression model 'broom::tidy()' tibbles. The suite includes functions to group regression model terms by variable, insert reference and header rows for categorical variables, add variable labels, and more.
Author: Joseph Larmarange [aut, cre] , Daniel D. Sjoberg [aut]
Maintainer: Joseph Larmarange <joseph@larmarange.net>

Diff between broom.helpers versions 1.21.0 dated 2025-04-24 and 1.22.0 dated 2025-09-17

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Package abstr updated to version 0.4.2 with previous version 0.4.1 dated 2021-11-30

Title: R Interface to the A/B Street Transport System Simulation Software
Description: Provides functions to convert origin-destination data, represented as straight 'desire lines' in the 'sf' Simple Features class system, into JSON files that can be directly imported into A/B Street <https://www.abstreet.org>, a free and open source tool for simulating urban transport systems and scenarios of change <doi:10.1007/s10109-020-00342-2>.
Author: Robin Lovelace [aut, cre] , Nathanael Sheehan [aut] , Trevor Nederlof [aut], Lucas Dias [ctb], Dustin Carlino [aut]
Maintainer: Robin Lovelace <rob00x@gmail.com>

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Package stevedata updated to version 1.7.0 with previous version 1.6.0 dated 2025-07-18

Title: Steve's Toy Data for Teaching About a Variety of Methodological, Social, and Political Topics
Description: This is a collection of various kinds of data with broad uses for teaching. My students, and academics like me who teach the same topics I teach, should find this useful if their teaching workflow is also built around the R programming language. The applications are multiple but mostly cluster on topics of statistical methodology, international relations, and political economy.
Author: Steve Miller [aut, cre]
Maintainer: Steve Miller <steve@svmiller.com>

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Package SEQTaRget updated to version 1.0.0 with previous version 0.13.1 dated 2025-09-15

Title: Sequential Trial Emulation
Description: Implementation of sequential trial emulation for the analysis of observational databases. The 'SEQTaRget' software accommodates time-varying treatments and confounders, as well as binary and failure time outcomes. 'SEQTaRget' allows to compare both static and dynamic strategies, can be used to estimate observational analogs of intention-to-treat and per-protocol effects, and can adjust for potential selection bias induced by losses-to-follow-up. (Paper to come).
Author: Ryan O'Dea [aut, cre] , Alejandro Szmulewicz [aut] , Tom Palmer [aut] , Miguel Hernan [aut] , The President and Fellows of Harvard College [cph]
Maintainer: Ryan O'Dea <ryanodea@hsph.harvard.edu>

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Package GitStats updated to version 2.3.6 with previous version 2.3.5 dated 2025-08-18

Title: Standardized Git Repository Data
Description: Obtain standardized data from multiple 'Git' services, including 'GitHub' and 'GitLab'. Designed to be 'Git' service-agnostic, this package assists teams with activities spread across various 'Git' platforms by providing a unified way to access repository data.
Author: Maciej Banas [aut, cre], Kamil Koziej [aut], Karolina Marcinkowska [aut], Matt Secrest [aut]
Maintainer: Maciej Banas <banasmaciek@gmail.com>

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Package eyeris updated to version 3.0.0 with previous version 2.1.1 dated 2025-07-26

Title: Flexible, Extensible, & Reproducible Pupillometry Preprocessing
Description: Pupillometry offers a non-invasive window into the mind and has been used extensively as a psychophysiological readout of arousal signals linked with cognitive processes like attention, stress, and emotional states [Clewett et al. (2020) <doi:10.1038/s41467-020-17851-9>; Kret & Sjak-Shie (2018) <doi:10.3758/s13428-018-1075-y>; Strauch (2024) <doi:10.1016/j.tins.2024.06.002>]. Yet, despite decades of pupillometry research, many established packages and workflows to date lack design patterns based on Findability, Accessibility, Interoperability, and Reusability (FAIR) principles [see Wilkinson et al. (2016) <doi:10.1038/sdata.2016.18>]. 'eyeris' provides a modular, performant, and extensible preprocessing framework for pupillometry data with BIDS-like organization and interactive output reports [Esteban et al. (2019) <doi:10.1038/s41592-018-0235-4>; Gorgolewski et al. (2016) <doi:10.1038/sdata.2016.44>]. Development was supported, in part, by the S [...truncated...]
Author: Shawn Schwartz [aut, cre] , Mingjian He [ctb], Haopei Yang [ctb], Alice Xue [ctb], Gustavo Santiago-Reyes [ctb]
Maintainer: Shawn Schwartz <shawn.t.schwartz@gmail.com>

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Package cctest updated to version 2.2.0 with previous version 2.1.0 dated 2025-05-07

Title: Canonical Correlations and Tests of Independence
Description: A simple interface for multivariate correlation analysis that unifies various classical statistical procedures including t-tests, tests in univariate and multivariate linear models, parametric and nonparametric tests for correlation, Kruskal-Wallis tests, common approximate versions of Wilcoxon rank-sum and signed rank tests, chi-squared tests of independence, score tests of particular hypotheses in generalized linear models, canonical correlation analysis and linear discriminant analysis.
Author: Robert Schlicht [aut, cre]
Maintainer: Robert Schlicht <robert.schlicht@tu-dresden.de>

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Package BKP updated to version 0.2.1 with previous version 0.2.0 dated 2025-09-16

Title: Beta Kernel Process Modeling
Description: Implements the Beta Kernel Process (BKP) for nonparametric modeling of spatially varying binomial probabilities, together with its extension, the Dirichlet Kernel Process (DKP), for categorical or multinomial data. The package provides functions for model fitting, predictive inference with uncertainty quantification, posterior simulation, and visualization in one-and two-dimensional input spaces. Multiple kernel functions (Gaussian, Matern 5/2, and Matern 3/2) are supported, with hyperparameters optimized through multi-start gradient-based search. For more details, see Zhao, Qing, and Xu (2025) <doi:10.48550/arXiv.2508.10447>.
Author: Jiangyan Zhao [cre, aut], Kunhai Qing [aut], Jin Xu [aut]
Maintainer: Jiangyan Zhao <zhaojy2017@126.com>

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Package telegram.bot updated to version 3.0.1 with previous version 3.0.0 dated 2022-09-07

Title: Develop a 'Telegram Bot' with R
Description: Provides a pure interface for the 'Telegram Bot API' <http://core.telegram.org/bots/api>. In addition to the pure API implementation, it features a number of tools to make the development of 'Telegram' bots with R easy and straightforward, providing an easy-to-use interface that takes some work off the programmer.
Author: Ernest Benedito [aut, cre], Chris Stefano [ctb]
Maintainer: Ernest Benedito <ebeneditos@gmail.com>

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Package dslabs updated to version 0.9.0 with previous version 0.8.0 dated 2024-03-01

Title: Data Science Labs
Description: Datasets and functions that can be used for data analysis practice, homework and projects in data science courses and workshops. 26 datasets are available for case studies in data visualization, statistical inference, modeling, linear regression, data wrangling and machine learning.
Author: Rafael A. Irizarry [aut, cre], Amy Gill [aut]
Maintainer: Rafael A. Irizarry <rafael_irizarry@dfci.harvard.edu>

Diff between dslabs versions 0.8.0 dated 2024-03-01 and 0.9.0 dated 2025-09-17

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Package Compositional updated to version 7.8 with previous version 7.7 dated 2025-08-18

Title: Compositional Data Analysis
Description: Regression, classification, contour plots, hypothesis testing and fitting of distributions for compositional data are some of the functions included. We further include functions for percentages (or proportions). The standard textbook for such data is John Aitchison's (1986) "The statistical analysis of compositional data". Relevant papers include: a) Tsagris M.T., Preston S. and Wood A.T.A. (2011). "A data-based power transformation for compositional data". Fourth International International Workshop on Compositional Data Analysis. <doi:10.48550/arXiv.1106.1451>. b) Tsagris M. (2014). "The k-NN algorithm for compositional data: a revised approach with and without zero values present". Journal of Data Science, 12(3): 519--534. <doi:10.6339/JDS.201407_12(3).0008>. c) Tsagris M. (2015). "A novel, divergence based, regression for compositional data". Proceedings of the 28th Panhellenic Statistics Conference, 15-18 April 2015, Athens, Greece, 430--444. <doi:10.48550/arXiv.15 [...truncated...]
Author: Michail Tsagris [aut, cre], Giorgos Athineou [aut], Abdulaziz Alenazi [ctb], Christos Adam [ctb]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>

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Package aqp updated to version 2.2-1 with previous version 2.2 dated 2025-02-15

Title: Algorithms for Quantitative Pedology
Description: The Algorithms for Quantitative Pedology (AQP) project was started in 2009 to organize a loosely-related set of concepts and source code on the topic of soil profile visualization, aggregation, and classification into this package (aqp). Over the past 8 years, the project has grown into a suite of related R packages that enhance and simplify the quantitative analysis of soil profile data. Central to the AQP project is a new vocabulary of specialized functions and data structures that can accommodate the inherent complexity of soil profile information; freeing the scientist to focus on ideas rather than boilerplate data processing tasks <doi:10.1016/j.cageo.2012.10.020>. These functions and data structures have been extensively tested and documented, applied to projects involving hundreds of thousands of soil profiles, and deeply integrated into widely used tools such as SoilWeb <https://casoilresource.lawr.ucdavis.edu/soilweb-apps>. Components of the AQP project (aqp, soilD [...truncated...]
Author: Dylan Beaudette [aut, cre], Pierre Roudier [aut, ctb], Andrew Brown [aut, ctb]
Maintainer: Dylan Beaudette <dylan.beaudette@usda.gov>

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 aqp-2.2/aqp/R/unroll.R                                                    |only
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Package adbcdrivermanager updated to version 0.20.0 with previous version 0.19.0-1 dated 2025-07-20

Title: 'Arrow' Database Connectivity ('ADBC') Driver Manager
Description: Provides a developer-facing interface to 'Arrow' Database Connectivity ('ADBC') for the purposes of driver development, driver testing, and building high-level database interfaces for users. 'ADBC' <https://arrow.apache.org/adbc/> is an API standard for database access libraries that uses 'Arrow' for result sets and query parameters.
Author: Dewey Dunnington [aut, cre] , Apache Arrow [aut, cph], Apache Software Foundation [cph]
Maintainer: Dewey Dunnington <dewey@dunnington.ca>

Diff between adbcdrivermanager versions 0.19.0-1 dated 2025-07-20 and 0.20.0 dated 2025-09-17

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 man/adbc_load_flags.Rd                         |   11 
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 src/c/driver/sqlite/statement_reader.c         |   56 ++
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 src/c/vendor/nanoarrow/nanoarrow.hpp           |  473 +++++++++++++++-------
 src/init.c                                     |    5 
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 tests/testthat/test-driver_void.R              |    5 
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Package piar updated to version 0.8.3 with previous version 0.8.2 dated 2025-03-19

Title: Price Index Aggregation
Description: Most price indexes are made with a two-step procedure, where period-over-period elementary indexes are first calculated for a collection of elementary aggregates at each point in time, and then aggregated according to a price index aggregation structure. These indexes can then be chained together to form a time series that gives the evolution of prices with respect to a fixed base period. This package contains a collection of functions that revolve around this work flow, making it easy to build standard price indexes, and implement the methods described by Balk (2008, <doi:10.1017/CBO9780511720758>), von der Lippe (2007, <doi:10.3726/978-3-653-01120-3>), and the CPI manual (2020, <doi:10.5089/9781484354841.069>) for bilateral price indexes.
Author: Steve Martin [aut, cre, cph]
Maintainer: Steve Martin <marberts@protonmail.com>

Diff between piar versions 0.8.2 dated 2025-03-19 and 0.8.3 dated 2025-09-17

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 piar-0.8.3/piar/vignettes/multiple-baskets.Rmd                         |   20 
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 133 files changed, 3371 insertions(+), 2302 deletions(-)

More information about piar at CRAN
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