Sat, 20 Sep 2025

Package intkrige updated to version 1.0.2 with previous version 1.0.1 dated 2020-02-07

Title: A Numerical Implementation of Interval-Valued Kriging
Description: An interval-valued extension of ordinary and simple kriging. Optimization of the function is based on a generalized interval distance. This creates a non-differentiable cost function that requires a differentiable approximation to the absolute value function. This differentiable approximation is optimized using a Newton-Raphson algorithm with a penalty function to impose the constraints. Analyses in the package are driven by the 'intsp' and 'intgrd' classes, which are interval-valued extensions of 'SpatialPointsDataFrame' and 'SpatialPixelsDataFrame' respectively. The package includes several wrappers to functions in the 'gstat' and 'sp' packages.
Author: Brennan Bean [aut, cre]
Maintainer: Brennan Bean <brennan.bean@usu.edu>

Diff between intkrige versions 1.0.1 dated 2020-02-07 and 1.0.2 dated 2025-09-20

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Package future.batchtools updated to version 0.21.0 with previous version 0.20.0 dated 2025-08-25

Title: A Future API for Parallel and Distributed Processing using 'batchtools'
Description: Implementation of the Future API <doi:10.32614/RJ-2021-048> on top of the 'batchtools' package. This allows you to process futures, as defined by the 'future' package, in parallel out of the box, not only on your local machine or ad-hoc cluster of machines, but also via high-performance compute ('HPC') job schedulers such as 'LSF', 'OpenLava', 'Slurm', 'SGE', and 'TORQUE' / 'PBS', e.g. 'y <- future.apply::future_lapply(files, FUN = process)'.
Author: Henrik Bengtsson [aut, cre, cph]
Maintainer: Henrik Bengtsson <henrikb@braju.com>

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Package boutliers updated to version 2.1-1 with previous version 1.1-2 dated 2023-05-22

Title: Outlier Detection and Influence Diagnostics for Meta-Analysis
Description: Computational tools for outlier detection and influence diagnostics in meta-analysis (Noma et al. (2025) <doi:10.1101/2025.09.18.25336125>). Bootstrap distributions of influence statistics are computed, and explicit thresholds for identifying outliers are provided. These methods can also be applied to the analysis of influential centers or regions in multicenter or multiregional clinical trials (Aoki and Noma (2021) <doi:10.1080/24709360.2021.1921944>, Nakamura and Noma (2021) <doi:10.5691/jjb.41.117>).
Author: Hisashi Noma [aut, cre], Kazushi Maruo [aut], Masahiko Gosho [aut]
Maintainer: Hisashi Noma <noma@ism.ac.jp>

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Package rfars readmission to version 2.0.0 with previous version 1.2.0 dated 2024-04-06

Title: Download and Analyze Crash Data
Description: Download crash data from the National Highway Traffic Safety Administration and prepare it for research.
Author: Steve Jackson [aut, cre]
Maintainer: Steve Jackson <steve.jackson@toxcel.com>

This is a re-admission after prior archival of version 1.2.0 dated 2024-04-06

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Package plsRbeta updated to version 0.3.2 with previous version 0.3.1 dated 2025-08-18

Title: Partial Least Squares Regression for Beta Regression Models
Description: Provides Partial least squares Regression for (weighted) beta regression models (Bertrand 2013, <https://ojs-test.apps.ocp.math.cnrs.fr/index.php/J-SFdS/article/view/215>) and k-fold cross-validation of such models using various criteria. It allows for missing data in the explanatory variables. Bootstrap confidence intervals constructions are also available.
Author: Frederic Bertrand [cre, aut] , Myriam Maumy-Bertrand [aut]
Maintainer: Frederic Bertrand <frederic.bertrand@lecnam.net>

Diff between plsRbeta versions 0.3.1 dated 2025-08-18 and 0.3.2 dated 2025-09-20

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Package pathfindR updated to version 2.6.0 with previous version 2.5.1 dated 2025-07-15

Title: Enrichment Analysis Utilizing Active Subnetworks
Description: Enrichment analysis enables researchers to uncover mechanisms underlying a phenotype. However, conventional methods for enrichment analysis do not take into account protein-protein interaction information, resulting in incomplete conclusions. 'pathfindR' is a tool for enrichment analysis utilizing active subnetworks. The main function identifies active subnetworks in a protein-protein interaction network using a user-provided list of genes and associated p values. It then performs enrichment analyses on the identified subnetworks, identifying enriched terms (i.e. pathways or, more broadly, gene sets) that possibly underlie the phenotype of interest. 'pathfindR' also offers functionalities to cluster the enriched terms and identify representative terms in each cluster, to score the enriched terms per sample and to visualize analysis results. The enrichment, clustering and other methods implemented in 'pathfindR' are described in detail in Ulgen E, Ozisik O, Sezerman OU. 2019. 'pathfindR [...truncated...]
Author: Ege Ulgen [cre, cph] , Ozan Ozisik [aut]
Maintainer: Ege Ulgen <egeulgen@gmail.com>

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Package OmicFlow updated to version 1.3.2 with previous version 1.3.1 dated 2025-09-04

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>

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Package WayFindR updated to version 0.4.1 with previous version 0.3.1 dated 2025-04-09

Title: Computing Graph Structures on WikiPathways
Description: Converts pathways from 'WikiPathways' GPML format or 'KEGG' KGML format into 'igraph' objects. Includes tools to find all cycles in the resulting graphs and determine which ones involve negative feedback (inhibition).
Author: Kevin R. Coombes [aut, cre], Polina Bombina [aut]
Maintainer: Kevin R. Coombes <krc@silicovore.com>

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Package rsvddpd updated to version 1.0.1 with previous version 1.0.0 dated 2021-10-27

Title: Robust Singular Value Decomposition using Density Power Divergence
Description: Computing singular value decomposition with robustness is a challenging task. This package provides an implementation of computing robust SVD using density power divergence (<doi:10.48550/arXiv.2109.10680>). It combines the idea of robustness and efficiency in estimation based on a tuning parameter. It also provides utility functions to simulate various scenarios to compare performances of different algorithms.
Author: Subhrajyoty Roy [aut, cre]
Maintainer: Subhrajyoty Roy <subhrajyotyroy@gmail.com>

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Package svrep updated to version 0.9.0 with previous version 0.8.0 dated 2025-05-18

Title: Tools for Creating, Updating, and Analyzing Survey Replicate Weights
Description: Provides tools for creating and working with survey replicate weights, extending functionality of the 'survey' package from Lumley (2004) <doi:10.18637/jss.v009.i08>. Implements bootstrap methods for complex surveys, including the generalized survey bootstrap as described by Beaumont and Patak (2012) <doi:10.1111/j.1751-5823.2011.00166.x>. Methods are provided for applying nonresponse adjustments to both full-sample and replicate weights as described by Rust and Rao (1996) <doi:10.1177/096228029600500305>. Implements methods for sample-based calibration described by Opsomer and Erciulescu (2021) <https://www150.statcan.gc.ca/n1/pub/12-001-x/2021002/article/00006-eng.htm>. Diagnostic functions are included to compare weights and weighted estimates from different sets of replicate weights.
Author: Ben Schneider [aut, cre]
Maintainer: Ben Schneider <benjamin.julius.schneider@gmail.com>

Diff between svrep versions 0.8.0 dated 2025-05-18 and 0.9.0 dated 2025-09-20

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Package gamlss.add updated to version 5.1-14 with previous version 5.1-13 dated 2024-03-28

Title: Extra Additive Terms for Generalized Additive Models for Location Scale and Shape
Description: Interface for extra smooth functions including tensor products, neural networks and decision trees.
Author: Mikis Stasinopoulos [aut, cre] , Robert Rigby [aut] , Vlasios Voudouris [ctb], Daniil Kiose [ctb]
Maintainer: Mikis Stasinopoulos <d.stasinopoulos@gre.ac.uk>

Diff between gamlss.add versions 5.1-13 dated 2024-03-28 and 5.1-14 dated 2025-09-20

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Package DPI updated to version 2025.9 with previous version 2025.8 dated 2025-08-19

Title: The Directed Prediction Index for Quasi-Causal Inference with Cross-Sectional Data
Description: The Directed Prediction Index ('DPI') is a quasi-causal inference method for cross-sectional data designed to quantify the relative endogeneity (relative dependence) of outcome (Y) versus predictor (X) variables in regression models. By comparing the proportion of variance explained (R-squared) between the Y-as-outcome model and the X-as-outcome model while controlling for a sufficient number of possible confounders, it suggests a plausible (admissible) direction of influence from a more exogenous variable (X) to a more endogenous variable (Y). Methodological details are provided at <https://psychbruce.github.io/DPI/>.
Author: Han Wu Shuang Bao [aut, cre]
Maintainer: Han Wu Shuang Bao <baohws@foxmail.com>

Diff between DPI versions 2025.8 dated 2025-08-19 and 2025.9 dated 2025-09-20

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Package kernelshap updated to version 0.9.1 with previous version 0.9.0 dated 2025-07-25

Title: Kernel SHAP
Description: Efficient implementation of Kernel SHAP (Lundberg and Lee, 2017, <doi:10.48550/arXiv.1705.07874>) permutation SHAP, and additive SHAP for model interpretability. For Kernel SHAP and permutation SHAP, if the number of features is too large for exact calculations, the algorithms iterate until the SHAP values are sufficiently precise in terms of their standard errors. The package integrates smoothly with meta-learning packages such as 'tidymodels', 'caret' or 'mlr3'. It supports multi-output models, case weights, and parallel computations. Visualizations can be done using the R package 'shapviz'.
Author: Michael Mayer [aut, cre] , David Watson [aut] , Przemyslaw Biecek [ctb]
Maintainer: Michael Mayer <mayermichael79@gmail.com>

Diff between kernelshap versions 0.9.0 dated 2025-07-25 and 0.9.1 dated 2025-09-20

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Package QuickJSR updated to version 1.8.1 with previous version 1.8.0 dated 2025-06-09

Title: Interface for the 'QuickJS-NG' Lightweight 'JavaScript' Engine
Description: An 'R' interface to the 'QuickJS' portable 'JavaScript' engine. The engine and all 'R' to 'JavaScript' interoperability is bundled within the package, requiring no dependencies beyond a 'C' compiler.
Author: Andrew R. Johnson [aut, cre] , QuickJS Authors [cph] , QuickJS-NG Authors [cph]
Maintainer: Andrew R. Johnson <andrew.johnson@arjohnsonau.com>

Diff between QuickJSR versions 1.8.0 dated 2025-06-09 and 1.8.1 dated 2025-09-20

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Package AMR updated to version 3.0.1 with previous version 3.0.0 dated 2025-06-02

Title: Antimicrobial Resistance Data Analysis
Description: Functions to simplify and standardise antimicrobial resistance (AMR) data analysis and to work with microbial and antimicrobial properties by using evidence-based methods, as described in <doi:10.18637/jss.v104.i03>.
Author: Matthijs S. Berends [aut, cre] , Dennis Souverein [aut, ctb] , Erwin E. A. Hassing [aut, ctb], Aislinn Cook [ctb] , Andrew P. Norgan [ctb] , Anita Williams [ctb] , Annick Lenglet [ctb] , Anthony Underwood [ctb] , Anton Mymrikov [ctb], Bart C. Meijer [...truncated...]
Maintainer: Matthijs S. Berends <m.s.berends@umcg.nl>

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Package spatstat.geom updated to version 3.6-0 with previous version 3.5-0 dated 2025-07-20

Title: Geometrical Functionality of the 'spatstat' Family
Description: Defines spatial data types and supports geometrical operations on them. Data types include point patterns, windows (domains), pixel images, line segment patterns, tessellations and hyperframes. Capabilities include creation and manipulation of data (using command line or graphical interaction), plotting, geometrical operations (rotation, shift, rescale, affine transformation), convex hull, discretisation and pixellation, Dirichlet tessellation, Delaunay triangulation, pairwise distances, nearest-neighbour distances, distance transform, morphological operations (erosion, dilation, closing, opening), quadrat counting, geometrical measurement, geometrical covariance, colour maps, calculus on spatial domains, Gaussian blur, level sets of images, transects of images, intersections between objects, minimum distance matching. (Excludes spatial data on a network, which are supported by the package 'spatstat.linnet'.)
Author: Adrian Baddeley [aut, cre, cph] , Rolf Turner [aut, cph] , Ege Rubak [aut, cph] , Warick Brown [ctb], Tilman Davies [ctb], Ute Hahn [ctb], Martin Hazelton [ctb], Abdollah Jalilian [ctb], Greg McSwiggan [ctb, cph], Sebastian Meyer [ctb, cph], Jens Oeh [...truncated...]
Maintainer: Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>

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Package ivx updated to version 1.1.1 with previous version 1.1.0 dated 2020-11-24

Title: Robust Econometric Inference
Description: Drawing statistical inference on the coefficients of a short- or long-horizon predictive regression with persistent regressors by using the IVX method of Magdalinos and Phillips (2009) <doi:10.1017/S0266466608090154> and Kostakis, Magdalinos and Stamatogiannis (2015) <doi:10.1093/rfs/hhu139>.
Author: Kostas Vasilopoulos [cre, aut], Efthymios Pavlidis [aut]
Maintainer: Kostas Vasilopoulos <k.vasilopoulo@gmail.com>

Diff between ivx versions 1.1.0 dated 2020-11-24 and 1.1.1 dated 2025-09-20

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Package greta.censored (with last version 0.1.0) was removed from CRAN

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

2024-11-29 0.1.0

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Package ElevDistr (with last version 1.0.9) was removed from CRAN

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

2024-10-07 1.0.9
2024-04-14 1.0.8

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Package greta.gam (with last version 0.2.0) was removed from CRAN

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

2024-12-17 0.2.0

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Package greta.dynamics (with last version 0.2.2) was removed from CRAN

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

2024-11-13 0.2.2
2022-09-05 0.2.0

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Package greta (with last version 0.5.0) was removed from CRAN

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

2024-11-12 0.5.0
2024-03-11 0.4.5
2024-02-01 0.4.4
2022-09-08 0.4.3
2022-03-22 0.4.2
2022-03-15 0.4.1
2019-08-09 0.3.1
2018-10-30 0.3.0
2018-01-22 0.2.3
2017-06-26 0.2.0

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Package greta.gp (with last version 0.2.2) was removed from CRAN

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

2024-11-13 0.2.2
2024-01-29 0.2.1
2022-09-06 0.2.0

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Package SSOSVM updated to version 0.2.2 with previous version 0.2.1 dated 2019-05-06

Title: Stream Suitable Online Support Vector Machines
Description: Soft-margin support vector machines (SVMs) are a common class of classification models. The training of SVMs usually requires that the data be available all at once in a single batch, however the Stochastic majorization-minimization (SMM) algorithm framework allows for the training of SVMs on streamed data instead Nguyen, Jones & McLachlan(2018)<doi:10.1007/s42081-018-0001-y>. This package utilizes the SMM framework to provide functions for training SVMs with hinge loss, squared-hinge loss, and logistic loss.
Author: Andrew Thomas Jones [aut, cre], Hien Duy Nguyen [aut], Geoffrey J. McLachlan [aut]
Maintainer: Andrew Thomas Jones <andrewthomasjones@gmail.com>

Diff between SSOSVM versions 0.2.1 dated 2019-05-06 and 0.2.2 dated 2025-09-20

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Package SAGMM updated to version 0.2.5 with previous version 0.2.4 dated 2019-06-29

Title: Clustering via Stochastic Approximation and Gaussian Mixture Models
Description: Computes clustering by fitting Gaussian mixture models (GMM) via stochastic approximation following the methods of Nguyen and Jones (2018) <doi:10.1201/9780429446177>. It also provides some test data generation and plotting functionality to assist with this process.
Author: Andrew Thomas Jones [aut, cre], Hien Duy Nguyen [aut]
Maintainer: Andrew Thomas Jones <andrewthomasjones@gmail.com>

Diff between SAGMM versions 0.2.4 dated 2019-06-29 and 0.2.5 dated 2025-09-20

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Package lowmemtkmeans updated to version 0.1.4 with previous version 0.1.2 dated 2017-01-08

Title: Low Memory Use Trimmed K-Means
Description: Performs the trimmed k-means clustering algorithm with lower memory use. It also provides a number of utility functions such as BIC calculations.
Author: Andrew Thomas Jones [aut, cre], Hien Duy Nguyen [aut]
Maintainer: Andrew Thomas Jones <andrewthomasjones@gmail.com>

Diff between lowmemtkmeans versions 0.1.2 dated 2017-01-08 and 0.1.4 dated 2025-09-20

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Package modEvA updated to version 3.40 with previous version 3.39 dated 2025-07-18

Title: Model Evaluation and Analysis
Description: Analyses species distribution models and evaluates their performance. It includes functions for variation partitioning, extracting variable importance, computing several metrics of model discrimination and calibration performance, optimizing prediction thresholds based on a number of criteria, performing multivariate environmental similarity surface (MESS) analysis, and displaying various analytical plots. Initially described in Barbosa et al. (2013) <doi:10.1111/ddi.12100>.
Author: A. Marcia Barbosa [aut, cre], Jennifer A. Brown [aut], Alberto Jimenez-Valverde [aut], Raimundo Real [aut], Oswald van Ginkel [ctb], Jurica Levatic [ctb], Victoria Formoso-Freire [ctb], Andres Baselga [ctb], Carola Gomez-Rodriguez [ctb], Jose Carlos [...truncated...]
Maintainer: A. Marcia Barbosa <ana.marcia.barbosa@gmail.com>

Diff between modEvA versions 3.39 dated 2025-07-18 and 3.40 dated 2025-09-20

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Package spatstat.utils updated to version 3.2-0 with previous version 3.1-5 dated 2025-07-17

Title: Utility Functions for 'spatstat'
Description: Contains utility functions for the 'spatstat' family of packages which may also be useful for other purposes.
Author: Adrian Baddeley [aut, cre] , Rolf Turner [aut] , Ege Rubak [aut]
Maintainer: Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>

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Package ggplotify updated to version 0.1.3 with previous version 0.1.2 dated 2023-08-09

Title: Convert Plot to 'grob' or 'ggplot' Object
Description: Convert plot function call (using expression or formula) to 'grob' or 'ggplot' object that compatible to the 'grid' and 'ggplot2' ecosystem. With this package, we are able to e.g. using 'cowplot' to align plots produced by 'base' graphics, 'ComplexHeatmap', 'eulerr', 'grid', 'lattice', 'magick', 'pheatmap', 'vcd' etc. by converting them to 'ggplot' objects.
Author: Guangchuang Yu [aut, cre]
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>

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Package bama updated to version 1.3.1 with previous version 1.3.0 dated 2023-01-24

Title: High Dimensional Bayesian Mediation Analysis
Description: Perform mediation analysis in the presence of high-dimensional mediators based on the potential outcome framework. Bayesian Mediation Analysis (BAMA), developed by Song et al (2019) <doi:10.1111/biom.13189> and Song et al (2020) <doi:10.48550/arXiv.2009.11409>, relies on two Bayesian sparse linear mixed models to simultaneously analyze a relatively large number of mediators for a continuous exposure and outcome assuming a small number of mediators are truly active. This sparsity assumption also allows the extension of univariate mediator analysis by casting the identification of active mediators as a variable selection problem and applying Bayesian methods with continuous shrinkage priors on the effects.
Author: Alexander Rix [aut], Mike Kleinsasser [aut, cre], Yanyi Song [aut]
Maintainer: Mike Kleinsasser <mkleinsa@umich.edu>

Diff between bama versions 1.3.0 dated 2023-01-24 and 1.3.1 dated 2025-09-20

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