Tue, 02 Dec 2025

Package OlinkAnalyze updated to version 4.4.0 with previous version 4.3.2 dated 2025-09-24

Title: Facilitate Analysis of Proteomic Data from Olink
Description: A collection of functions to facilitate analysis of proteomic data from Olink, primarily NPX data that has been exported from Olink Software. The functions also work on QUANT data from Olink by log- transforming the QUANT data. The functions are focused on reading data, facilitating data wrangling and quality control analysis, performing statistical analysis and generating figures to visualize the results of the statistical analysis. The goal of this package is to help users extract biological insights from proteomic data run on the Olink platform.
Author: Kathleen Nevola [aut, cre] , Marianne Sandin [aut] , Jamey Guess [aut] , Simon Forsberg [aut] , Christoffer Cambronero [aut] , Pascal Pucholt [aut] , Boxi Zhang [aut] , Masoumeh Sheikhi [aut] , Klev Diamanti [aut] , Amrita Kar [aut] , Lei Conze [aut] [...truncated...]
Maintainer: Kathleen Nevola <biostattools@olink.com>

Diff between OlinkAnalyze versions 4.3.2 dated 2025-09-24 and 4.4.0 dated 2025-12-02

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New package min2HalfFFD with initial version 0.1.0
Package: min2HalfFFD
Title: Minimally Changed Two-Level Half-Fractional Factorial Designs
Version: 0.1.0
Maintainer: Bijoy Chanda <bijoychanda08@gmail.com>
Description: In many agricultural, engineering, industrial, post-harvest and processing experiments, the number of factor level changes and hence the total number of changes is of serious concern as such experiments may consists of hard-to-change factors where it is physically very difficult to change levels of some factors or sometime such experiments may require normalization time to obtain adequate operating condition. For this reason, run orders that offer the minimum number of factor level changes and at the same time minimize the possible influence of systematic trend effects on the experimentation have been sought. Factorial designs with minimum changes in factors level may be preferred for such situations as these minimally changed run orders will minimize the cost of the experiments. This technique can be employed to any half replicate of two level factorial run order where the number of factors are greater than two. For method details see, Bhowmik, A., Varghese, E., Jaggi, S. and Varghes [...truncated...]
License: GPL-3
Encoding: UTF-8
Imports: shiny, hrtlFMC, shinybusy
Suggests: testthat (>= 3.0.0), roxygen2, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-11-27 05:12:34 UTC; Bijoy Chanda
Author: Bijoy Chanda [aut, cre, ctb], Arpan Bhowmik [aut, ctb], Seema Jaggi [aut], Eldho Varghese [aut, ctb], Cini Varghese [aut], Anindita Datta [aut], Dibyendu Deb [aut]
Repository: CRAN
Date/Publication: 2025-12-02 15:10:02 UTC

More information about min2HalfFFD at CRAN
Permanent link

Package lme4 updated to version 1.1-38 with previous version 1.1-37 dated 2025-03-26

Title: Linear Mixed-Effects Models using 'Eigen' and S4
Description: Fit linear and generalized linear mixed-effects models. The models and their components are represented using S4 classes and methods. The core computational algorithms are implemented using the 'Eigen' C++ library for numerical linear algebra and 'RcppEigen' "glue".
Author: Douglas Bates [aut] , Martin Maechler [aut] , Ben Bolker [aut, cre] , Steven Walker [aut] , Rune Haubo Bojesen Christensen [ctb] , Henrik Singmann [ctb] , Bin Dai [ctb], Fabian Scheipl [ctb] , Gabor Grothendieck [ctb], Peter Green [ctb] , John Fox [c [...truncated...]
Maintainer: Ben Bolker <bbolker+lme4@gmail.com>

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Package inteli updated to version 0.1.1 with previous version 0.1.0 dated 2025-10-25

Title: Interval Estimation by Likelihoodist (LI) Compared to Frequentist (CI)
Description: Parameter estimation via likelihood interval (LI) compared to traditional method (CI). This is the expanded version for 'LBI'- and 'wnl'-package, formulated by Kyun-Seop Bae <k@acr.kr>.
Author: Kim Minkyu [aut, cre]
Maintainer: Kim Minkyu <mkim@acr.kr>

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Package hdf5lib readmission to version 2.0.0.2 with previous version 1.14.6.8 dated 2025-11-19

Title: Headers and Static Libraries for 'HDF5'
Description: 'HDF5' (Hierarchical Data Format 5) is a high-performance library and file format for storing and managing large, complex data. This package provides the static libraries and headers for the 'HDF5' 'C' library (release 2.0.0). It is intended for R package developers to use in the 'LinkingTo' field, which eliminates the need for users to install system-level 'HDF5' dependencies. This build is compiled with thread-safety enabled and supports dynamic loading of external compression filters. 'HDF5' is developed by 'The HDF Group' <https://www.hdfgroup.org/>.
Author: Daniel P. Smith [aut, cre] , The HDF Group [cph] , Jean-loup Mark [cph] , Gailly Adler [cph]
Maintainer: Daniel P. Smith <dansmith01@gmail.com>

This is a re-admission after prior archival of version 1.14.6.8 dated 2025-11-19

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Package geodl updated to version 0.3.1 with previous version 0.3.0 dated 2025-11-12

Title: Geospatial Semantic Segmentation with Torch and Terra
Description: Provides tools for semantic segmentation of geospatial data using convolutional neural network-based deep learning. Utility functions allow for creating masks, image chips, data frames listing image chips in a directory, and DataSets for use within DataLoaders. Additional functions are provided to serve as checks during the data preparation and training process. A UNet architecture can be defined with 4 blocks in the encoder, a bottleneck block, and 4 blocks in the decoder. The UNet can accept a variable number of input channels, and the user can define the number of feature maps produced in each encoder and decoder block and the bottleneck. Users can also choose to (1) replace all rectified linear unit (ReLU) activation functions with leaky ReLU or swish, (2) implement attention gates along the skip connections, (3) implement squeeze and excitation modules within the encoder blocks, (4) add residual connections within all blocks, (5) replace the bottleneck with a modified atrous spati [...truncated...]
Author: Aaron Maxwell [aut, cre, cph], Sarah Farhadpour [aut], Srinjoy Das [aut], Yalin Yang [aut]
Maintainer: Aaron Maxwell <Aaron.Maxwell@mail.wvu.edu>

Diff between geodl versions 0.3.0 dated 2025-11-12 and 0.3.1 dated 2025-12-02

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New package StealLikeBayes with initial version 1.0
Package: StealLikeBayes
Title: A Compendium of Bayesian Statistical Routines Written in 'C++'
Version: 1.0
Date: 2025-11-26
Maintainer: Tomasz Wozniak <wozniak.tom@pm.me>
Description: This is a compendium of 'C++' routines useful for Bayesian statistics. We steal other people's 'C++' code, repurpose it, and export it so developers of 'R' packages can use it in their 'C++' code. We actually don't steal anything, or claim that Thomas Bayes did, but copy code that is compatible with our GPL 3 licence, fully acknowledging the authorship of the original code.
Imports: Rcpp (>= 1.1.0), GIGrvg
LinkingTo: Rcpp, RcppArmadillo, RcppEigen, GIGrvg
Suggests: tinytest
URL: https://bsvars.org/StealLikeBayes/
BugReports: https://github.com/bsvars/StealLikeBayes/issues
License: GPL (>= 3)
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2025-11-26 20:33:25 UTC; twozniak
Author: Tomasz Wozniak [aut, cre] , Xiaolei Wang [aut] , Longcan Li [aut] , Jianying Shelly Xie [aut] , Filip Reierson [aut] , Kenyon Ng [aut]
Repository: CRAN
Date/Publication: 2025-12-02 14:50:02 UTC

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New package Sobol4R with initial version 0.4.0
Package: Sobol4R
Title: Sobol Indices for Models with Fixed and Stochastic Parameters
Version: 0.4.0
Date: 2025-11-26
Depends: R (>= 3.5.0)
Imports: ggplot2, Rcpp (>= 1.0.0), rlang, sensitivity, stats
Suggests: knitr, markdown, rmarkdown, simmer, testthat (>= 3.0.0)
LinkingTo: Rcpp
Author: Frederic Bertrand [cre, aut] , Elizaveta Logosha [aut], Myriam Maumy-Bertrand [aut]
Maintainer: Frederic Bertrand <frederic.bertrand@lecnam.net>
Description: Tools to design experiments, compute Sobol sensitivity indices, and summarise stochastic responses inspired by the strategy described by Zhu and Sudret (2021) <doi:10.1016/j.ress.2021.107815>. Includes helpers to optimise toy models implemented in C++, visualise indices with uncertainty quantification, and derive reliability-oriented sensitivity measures based on failure probabilities. It is further detailed in Logosha, Maumy and Bertrand (2022) <doi:10.1063/5.0246026> and (2023) <doi:10.1063/5.0246024> or in Bertrand, Logosha and Maumy (2024) <https://hal.science/hal-05371803>, <https://hal.science/hal-05371795> and <https://hal.science/hal-05371798>.
LazyLoad: yes
VignetteBuilder: knitr
License: GPL-3
Encoding: UTF-8
Classification/MSC:
URL: https://fbertran.github.io/Sobol4R/, https://github.com/fbertran/Sobol4R
BugReports: https://github.com/fbertran/Sobol4R/issues
NeedsCompilation: yes
Packaged: 2025-11-27 00:54:30 UTC; bertran7
Repository: CRAN
Date/Publication: 2025-12-02 15:00:02 UTC

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Package scrutiny updated to version 0.6.1 with previous version 0.6.0 dated 2025-08-22

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

Diff between scrutiny versions 0.6.0 dated 2025-08-22 and 0.6.1 dated 2025-12-02

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New package PEAXAI with initial version 0.1.0
Package: PEAXAI
Title: Probabilistic Efficiency Analysis Using Explainable Artificial Intelligence
Version: 0.1.0
Description: Provides a probabilistic framework that integrates Data Envelopment Analysis (DEA) (Banker et al., 1984) <doi:10.1287/mnsc.30.9.1078> with machine learning classifiers (Kuhn, 2008) <doi:10.18637/jss.v028.i05> to estimate both the (in)efficiency status and the probability of efficiency for decision-making units. The approach trains predictive models on DEA-derived efficiency labels (Charnes et al., 1985) <doi:10.1016/0304-4076(85)90133-2>, enabling explainable artificial intelligence (XAI) workflows with global and local interpretability tools, including permutation importance (Molnar et al., 2018) <doi:10.21105/joss.00786>, Shapley value explanations (Strumbelj & Kononenko, 2014) <doi:10.1007/s10115-013-0679-x>, and sensitivity analysis (Cortez, 2011) <https://CRAN.R-project.org/package=rminer>. The framework also supports probability-threshold peer selection and counterfactual improvement recommendations for benchmarking and policy evaluation. T [...truncated...]
License: GPL-3
URL: https://github.com/rgonzalezmoyano/PEAXAI
BugReports: https://github.com/rgonzalezmoyano/PEAXAI/issues
Encoding: UTF-8
Language: en
Depends: R (>= 3.5)
Imports: Benchmarking, caret, deaR, dplyr, fastshap, iml, PRROC, pROC, rminer, stats
Suggests: ggplot2, knitr, rmarkdown, nnet
VignetteBuilder: knitr
LazyData: false
ByteCompile: true
NeedsCompilation: no
Packaged: 2025-11-27 01:08:27 UTC; Ricardo
Author: Ricardo Gonzalez Moyano [cre, aut] , Juan Aparicio [aut] , Jose Luis Zofio [aut] , Victor Espana [aut]
Maintainer: Ricardo Gonzalez Moyano <ricardo.gonzalezm@umh.es>
Repository: CRAN
Date/Publication: 2025-12-02 14:50:07 UTC

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New package motherduck with initial version 0.2.0
Package: motherduck
Title: Utilities for Managing a 'Motherduck' Database
Version: 0.2.0
Description: Provides helper functions, metadata utilities, and workflows for administering and managing databases on the 'Motherduck' cloud platform. Some features require a 'Motherduck' account (<https://motherduck.com/>).
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: DBI, assertthat, cli, dbplyr, dplyr, duckdb (>= 1.4.1), glue, purrr, stringr, httr2, rlang, janitor, tibble
Suggests: testthat (>= 3.0.0), quarto, contoso, openxlsx
Depends: R (>= 4.1.0)
URL: https://usrbinr.github.io/motherduck/
NeedsCompilation: no
Packaged: 2025-11-26 16:54:06 UTC; hagan
Author: Alejandro Hagan [aut, cre]
Maintainer: Alejandro Hagan <alejandro.hagan@outlook.com>
Repository: CRAN
Date/Publication: 2025-12-02 14:40:02 UTC

More information about motherduck at CRAN
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Package nser (with last version 1.5.6) was removed from CRAN

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

2025-08-25 1.5.6
2024-07-26 1.5.3
2024-05-02 1.5.2
2024-02-05 1.5.1
2023-09-19 1.5.0
2023-03-10 1.4.5
2022-12-14 1.4.4
2022-08-10 1.4.3
2022-06-14 1.4.2
2022-05-02 1.4.1
2022-01-05 1.4.0
2021-10-27 1.3.4
2021-10-08 1.3.3
2021-09-16 1.3.2
2021-09-13 1.3.1
2021-08-22 1.3.0
2021-08-09 1.2.0
2021-08-03 1.1.0
2021-07-12 1.0.0

Permanent link
Package ReliaGrowR (with last version 0.3.1) was removed from CRAN

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

2025-11-21 0.3.1
2025-11-07 0.3
2025-09-21 0.2
2025-07-13 0.1.5
2025-05-16 0.1.4
2024-11-15 0.1.3
2024-11-01 0.1.1
2024-09-19 0.1.0

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Package elixir updated to version 0.1.1 with previous version 0.1.0 dated 2025-09-24

Title: Transmutation of Languages
Description: Tools for transforming 'R' expressions. Provides functions for finding, extracting, and replacing patterns in 'R' language objects, similarly to how regular expressions can be used to find, extract, and replace patterns in text. Also provides functions for generating code using specially-formatted template files and for translating 'R' expressions into similar expressions in other programming languages. The package may be helpful for advanced uses of 'R' expressions, such as developing domain-specific languages.
Author: Nicholas Davies [cre, aut, cph]
Maintainer: Nicholas Davies <nicholas.davies@lshtm.ac.uk>

Diff between elixir versions 0.1.0 dated 2025-09-24 and 0.1.1 dated 2025-12-02

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Package DTEAssurance updated to version 1.1.0 with previous version 1.0.1 dated 2025-10-24

Title: Assurance Methods for Clinical Trials with a Delayed Treatment Effect
Description: Provides functions for planning clinical trials subject to a delayed treatment effect using assurance-based methods. Includes two 'shiny' applications for interactive exploration, simulation, and visualisation of trial designs and outcomes. The methodology is described in: Salsbury JA, Oakley JE, Julious SA, Hampson LV (2024) "Assurance methods for designing a clinical trial with a delayed treatment effect" <doi:10.1002/sim.10136>, Salsbury JA, Oakley JE, Julious SA, Hampson LV (2024) "Adaptive clinical trial design with delayed treatment effects using elicited prior distributions" <doi:10.48550/arXiv.2509.07602>.
Author: James Salsbury [aut, cre]
Maintainer: James Salsbury <jsalsbury1@sheffield.ac.uk>

Diff between DTEAssurance versions 1.0.1 dated 2025-10-24 and 1.1.0 dated 2025-12-02

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Package actuaRE updated to version 0.1.7 with previous version 0.1.6 dated 2025-07-31

Title: Handling Hierarchically Structured Risk Factors using Random Effects Models
Description: Using this package, you can fit a random effects model using either the hierarchical credibility model, a combination of the hierarchical credibility model with a generalized linear model or a Tweedie generalized linear mixed model. See Campo, B.D.C. and Antonio, K. (2023) <doi:10.1080/03461238.2022.2161413>.
Author: Campo Bavo D.C. [aut, cre]
Maintainer: Campo Bavo D.C. <bavo.decock@kuleuven.be>

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Package teal.widgets updated to version 0.5.1 with previous version 0.5.0 dated 2025-08-19

Title: 'shiny' Widgets for 'teal' Applications
Description: Collection of 'shiny' widgets to support 'teal' applications. Enables the manipulation of application layout and plot or table settings.
Author: Dawid Kaledkowski [aut, cre], Pawel Rucki [aut], Mahmoud Hallal [aut], Nikolas Burkoff [aut], Maciej Nasinski [aut], Konrad Pagacz [aut], Junlue Zhao [aut], F. Hoffmann-La Roche AG [cph, fnd]
Maintainer: Dawid Kaledkowski <dawid.kaledkowski@roche.com>

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Package skytrackr updated to version 2.0 with previous version 1.0 dated 2025-10-08

Title: A Sky Illuminance Location Tracker
Description: Calculate geolocations by light using template matching. The routine uses a calibration free optimization of a sky illuminance model to determine locations robustly using a template matching approach, as described by Ekstrom (2004) <https://nipr.repo.nii.ac.jp/records/2496>, and behaviourly informed constraints (step-selection).
Author: Koen Hufkens [aut, cre] , BlueGreen Labs [cph, fnd]
Maintainer: Koen Hufkens <koen.hufkens@gmail.com>

Diff between skytrackr versions 1.0 dated 2025-10-08 and 2.0 dated 2025-12-02

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Package tbm updated to version 0.3-10 with previous version 0.3-9 dated 2025-11-18

Title: Transformation Boosting Machines
Description: Boosting the likelihood of conditional and shift transformation models as introduced in <DOI:10.1007/s11222-019-09870-4>.
Author: Torsten Hothorn [aut, cre]
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

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Package bigchess (with last version 1.9.1) was removed from CRAN

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

2020-08-05 1.9.1
2020-07-03 1.9.0
2020-04-03 1.7.1
2020-01-31 1.7.0

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Package patrick updated to version 0.3.1 with previous version 0.3.0 dated 2025-01-27

Title: Parameterized Unit Testing
Description: This is an extension of the 'testthat' package that lets you add parameters to your unit tests. Parameterized unit tests are often easier to read and more reliable, since they follow the DNRY (do not repeat yourself) rule.
Author: Michael Quinn [aut], Michael Chirico [aut, cre]
Maintainer: Michael Chirico <chiricom@google.com>

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Package ivolcano updated to version 0.0.4 with previous version 0.0.2 dated 2025-11-17

Title: Interactive Volcano Plot
Description: Generate interactive volcano plots for exploring gene expression data. Built with 'ggplot2', the plots are rendered interactive using 'ggiraph', enabling users to hover over points to display detailed information or click to trigger custom actions.
Author: Guangchuang Yu [aut, cre, cph]
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>

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Package geessbin updated to version 1.0.1 with previous version 1.0.0 dated 2024-09-08

Title: Modified Generalized Estimating Equations for Binary Outcome
Description: Analyze small-sample clustered or longitudinal data with binary outcome using modified generalized estimating equations (GEE) with bias-adjusted covariance estimator. The package provides any combination of three GEE methods and 12 covariance estimators.
Author: Ryota Ishii [aut, cre], Tomohiro Ohigashi [ctb], Kazushi Maruo [ctb], Masahiko Gosho [ctb]
Maintainer: Ryota Ishii <r.ishii0808@gmail.com>

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Package teal.slice updated to version 0.7.1 with previous version 0.7.0 dated 2025-08-20

Title: Filter Module for 'teal' Applications
Description: Data filtering module for 'teal' applications. Allows for interactive filtering of data stored in 'data.frame' and 'MultiAssayExperiment' objects. Also displays filtered and unfiltered observation counts.
Author: Dawid Kaledkowski [aut, cre] , Pawel Rucki [aut], Aleksander Chlebowski [aut] , Andre Verissimo [aut] , Kartikeya Kirar [aut], Marcin Kosinski [aut], Chendi Liao [rev], Dony Unardi [rev], Andrew Bates [aut], Mahmoud Hallal [aut], Nikolas Burkoff [aut [...truncated...]
Maintainer: Dawid Kaledkowski <dawid.kaledkowski@roche.com>

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Package PSPI updated to version 1.2 with previous version 1.1 dated 2025-12-01

Title: Propensity Score Predictive Inference for Generalizability
Description: Provides a suite of Propensity Score Predictive Inference (PSPI) methods to generalize treatment effects in trials to target populations. The package includes an existing model Bayesian Causal Forest (BCF) and four PSPI models (BCF-PS, FullBART, SplineBART, DSplineBART). These methods leverage Bayesian Additive Regression Trees (BART) to adjust for high-dimensional covariates and nonlinear associations, while SplineBART and DSplineBART further use propensity score based splines to address covariate shift between trial data and target population.
Author: Jungang Zou [aut, cre], Qixuan Chen [aut], Joseph Schwartz [aut], Nathalie Moise [aut], Roderick Little [aut], Robert McCulloch [ctb], Rodney Sparapani [ctb], Charles Spanbauer [ctb], Robert Gramacy [ctb], Jean-Sebastien Roy [ctb]
Maintainer: Jungang Zou <jungang.zou@gmail.com>

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Package cards updated to version 0.7.1 with previous version 0.7.0 dated 2025-08-27

Title: Analysis Results Data
Description: Construct CDISC (Clinical Data Interchange Standards Consortium) compliant Analysis Results Data objects. These objects are used and re-used to construct summary tables, visualizations, and written reports. The package also exports utilities for working with these objects and creating new Analysis Results Data objects.
Author: Daniel D. Sjoberg [aut, cre] , Becca Krouse [aut], Emily de la Rua [aut] , Malan Bosman [aut] , F. Hoffmann-La Roche AG [cph, fnd], GlaxoSmithKline Research & Development Limited [cph]
Maintainer: Daniel D. Sjoberg <danield.sjoberg@gmail.com>

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Package BGGM updated to version 2.1.6 with previous version 2.1.5 dated 2024-12-22

Title: Bayesian Gaussian Graphical Models
Description: Fit Bayesian Gaussian graphical models. The methods are separated into two Bayesian approaches for inference: hypothesis testing and estimation. There are extensions for confirmatory hypothesis testing, comparing Gaussian graphical models, and node wise predictability. These methods were recently introduced in the Gaussian graphical model literature, including Williams (2019) <doi:10.31234/osf.io/x8dpr>, Williams and Mulder (2019) <doi:10.31234/osf.io/ypxd8>, Williams, Rast, Pericchi, and Mulder (2019) <doi:10.31234/osf.io/yt386>.
Author: Donald Williams [aut], Joris Mulder [aut], Philippe Rast [aut, cre]
Maintainer: Philippe Rast <rast.ph@gmail.com>

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

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Package vip updated to version 0.4.2 with previous version 0.4.1 dated 2023-08-21

Title: Variable Importance Plots
Description: A general framework for constructing variable importance plots from various types of machine learning models in R. Aside from some standard model- specific variable importance measures, this package also provides model- agnostic approaches that can be applied to any supervised learning algorithm. These include 1) an efficient permutation-based variable importance measure, 2) variable importance based on Shapley values (Strumbelj and Kononenko, 2014) <doi:10.1007/s10115-013-0679-x>, and 3) the variance-based approach described in Greenwell et al. (2018) <doi:10.48550/arXiv.1805.04755>. A variance-based method for quantifying the relative strength of interaction effects is also included (see the previous reference for details).
Author: Brandon M. Greenwell [aut, cre] , Brad Boehmke [aut]
Maintainer: Brandon M. Greenwell <greenwell.brandon@gmail.com>

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Package teal.logger updated to version 0.4.1 with previous version 0.4.0 dated 2025-07-08

Title: Logging Setup for the 'teal' Family of Packages
Description: Utilizing the 'logger' framework to record events within a package, specific to 'teal' family of packages. Supports logging namespaces, hierarchical logging, various log destinations, vectorization, and more.
Author: Dawid Kaledkowski [aut, cre], Konrad Pagacz [aut], F. Hoffmann-La Roche AG [cph, fnd]
Maintainer: Dawid Kaledkowski <dawid.kaledkowski@roche.com>

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Package spatialsample updated to version 0.6.1 with previous version 0.6.0 dated 2024-10-02

Title: Spatial Resampling Infrastructure
Description: Functions and classes for spatial resampling to use with the 'rsample' package, such as spatial cross-validation (Brenning, 2012) <doi:10.1109/IGARSS.2012.6352393>. The scope of 'rsample' and 'spatialsample' is to provide the basic building blocks for creating and analyzing resamples of a spatial data set, but neither package includes functions for modeling or computing statistics. The resampled spatial data sets created by 'spatialsample' do not contain much overhead in memory.
Author: Michael Mahoney [aut, cre] , Julia Silge [aut] , Posit Software, PBC [cph, fnd]
Maintainer: Michael Mahoney <mike.mahoney.218@gmail.com>

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Package RPresto updated to version 1.4.8 with previous version 1.4.7 dated 2025-01-08

Title: DBI Connector to Presto
Description: Implements a 'DBI' compliant interface to Presto. Presto is an open source distributed SQL query engine for running interactive analytic queries against data sources of all sizes ranging from gigabytes to petabytes: <https://prestodb.io/>.
Author: Onur Ismail Filiz [aut], Sergey Goder [aut], Jarod G.R. Meng [aut, cre], Thomas J. Leeper [ctb], John Myles White [ctb]
Maintainer: Jarod G.R. Meng <jarodm@fb.com>

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Package gdalcubes updated to version 0.7.2 with previous version 0.7.1 dated 2025-03-19

Title: Earth Observation Data Cubes from Satellite Image Collections
Description: Processing collections of Earth observation images as on-demand multispectral, multitemporal raster data cubes. Users define cubes by spatiotemporal extent, resolution, and spatial reference system and let 'gdalcubes' automatically apply cropping, reprojection, and resampling using the 'Geospatial Data Abstraction Library' ('GDAL'). Implemented functions on data cubes include reduction over space and time, applying arithmetic expressions on pixel band values, moving window aggregates over time, filtering by space, time, bands, and predicates on pixel values, exporting data cubes as 'netCDF' or 'GeoTIFF' files, plotting, and extraction from spatial and or spatiotemporal features. All computational parts are implemented in C++, linking to the 'GDAL', 'netCDF', 'CURL', and 'SQLite' libraries. See Appel and Pebesma (2019) <doi:10.3390/data4030092> for further details.
Author: Marius Appel [aut, cre] , Edzer Pebesma [ctb] , Roger Bivand [ctb], Jeroen Ooms [ctb] , Lewis Van Winkle [cph], Ole Christian Eidheim [cph], Howard Hinnant [cph], Adrian Colomitchi [cph], Florian Dang [cph], Paul Thompson [cph], Tomasz Kaminski [cph] [...truncated...]
Maintainer: Marius Appel <marius.appel@hs-bochum.de>

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Package EMC2 updated to version 3.3.0 with previous version 3.2.1 dated 2025-09-22

Title: Bayesian Hierarchical Analysis of Cognitive Models of Choice
Description: Fit Bayesian (hierarchical) cognitive models using a linear modeling language interface using particle Metropolis Markov chain Monte Carlo sampling with Gibbs steps. The diffusion decision model (DDM), linear ballistic accumulator model (LBA), racing diffusion model (RDM), and the lognormal race model (LNR) are supported. Additionally, users can specify their own likelihood function and/or choose for non-hierarchical estimation, as well as for a diagonal, blocked or full multivariate normal group-level distribution to test individual differences. Prior specification is facilitated through methods that visualize the (implied) prior. A wide range of plotting functions assist in assessing model convergence and posterior inference. Models can be easily evaluated using functions that plot posterior predictions or using relative model comparison metrics such as information criteria or Bayes factors. References: Stevenson et al. (2024) <doi:10.31234/osf.io/2e4dq>.
Author: Niek Stevenson [aut, cre] , Michelle Donzallaz [aut], Andrew Heathcote [aut], Steven Miletic [ctb], Raphael Hartmann [ctb], Karl C. Klauer [ctb], Steven G. Johnson [ctb], Jean M. Linhart [ctb], Brian Gough [ctb], Gerard Jungman [ctb], Rudolf Schuerer [...truncated...]
Maintainer: Niek Stevenson <niek.stevenson@gmail.com>

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Package dslabs updated to version 0.9.1 with previous version 0.9.0 dated 2025-09-17

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 0.9.0 dated 2025-09-17 and 0.9.1 dated 2025-12-02

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Package doBy updated to version 4.7.1 with previous version 4.7.0 dated 2025-06-29

Title: Groupwise Statistics, LSmeans, Linear Estimates, Utilities
Description: Utility package containing: Main categories: Working with grouped data: 'do' something to data when stratified 'by' some variables. General linear estimates. Data handling utilities. Functional programming, in particular restrict functions to a smaller domain. Miscellaneous functions for data handling. Model stability in connection with model selection. Miscellaneous other tools.
Author: Ulrich Halekoh [aut, cph], Soeren Hoejsgaard [aut, cre, cph]
Maintainer: Soeren Hoejsgaard <sorenh@math.aau.dk>

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Package discrim updated to version 1.1.0 with previous version 1.0.2 dated 2025-08-22

Title: Model Wrappers for Discriminant Analysis
Description: Bindings for additional classification models for use with the 'parsnip' package. Models include flavors of discriminant analysis, such as linear (Fisher (1936) <doi:10.1111/j.1469-1809.1936.tb02137.x>), regularized (Friedman (1989) <doi:10.1080/01621459.1989.10478752>), and flexible (Hastie, Tibshirani, and Buja (1994) <doi:10.1080/01621459.1994.10476866>), as well as naive Bayes classifiers (Hand and Yu (2007) <doi:10.1111/j.1751-5823.2001.tb00465.x>).
Author: Emil Hvitfeldt [aut, cre] , Max Kuhn [aut] , Posit Software, PBC [cph, fnd]
Maintainer: Emil Hvitfeldt <emil.hvitfeldt@posit.co>

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