Sun, 19 Apr 2026

Package domir updated to version 1.3.0 with previous version 1.2.0 dated 2024-05-04

Title: Dominance Analysis Methods
Description: Dominance analysis relative importance methods that are intended for predictive models.
Author: Joseph Luchman [aut, cre]
Maintainer: Joseph Luchman <jluchman@gmail.com>

Diff between domir versions 1.2.0 dated 2024-05-04 and 1.3.0 dated 2026-04-19

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Package yaImpute updated to version 1.0-36 with previous version 1.0-34.1 dated 2024-09-21

Title: Nearest Neighbor Observation Imputation and Evaluation Tools
Description: Performs nearest neighbor-based imputation using one or more alternative approaches to processing multivariate data. These include methods based on canonical correlation: analysis, canonical correspondence analysis, and a multivariate adaptation of the random forest classification and regression techniques of Leo Breiman and Adele Cutler. Additional methods are also offered. The package includes functions for comparing the results from running alternative techniques, detecting imputation targets that are notably distant from reference observations, detecting and correcting for bias, bootstrapping and building ensemble imputations, and mapping results.
Author: Jeffrey S. Evans [aut, cre] , Nicholas L. Crookston [aut], Andrew O. Finley [aut], John Coulston [ctb, com]
Maintainer: Jeffrey S. Evans <sage_insights@outlook.com>

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Package varPro updated to version 3.1.0 with previous version 3.0.0 dated 2026-04-08

Title: Model-Independent Variable Selection via the Rule-Based Variable Priority
Description: A new framework of variable selection, which instead of generating artificial covariates such as permutation importance and knockoffs, creates release rules to examine the affect on the response for each covariate where the conditional distribution of the response variable can be arbitrary and unknown.
Author: Min Lu [aut], Aster K. Shear [aut], Udaya B. Kogalur [aut, cre], Hemant Ishwaran [aut]
Maintainer: Udaya B. Kogalur <ubk@kogalur.com>

Diff between varPro versions 3.0.0 dated 2026-04-08 and 3.1.0 dated 2026-04-19

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Package ncmR updated to version 0.2.0 with previous version 0.1.0 dated 2026-04-10

Title: Fit Neutral Community Model to Microbiome or Ecological Data
Description: Provides tools for fitting the neutral community model (NCM) to assess the role of stochastic processes in community assembly. The package implements the framework of Sloan et al. (2006) <doi:10.1111/j.1462-2920.2005.00956.x>, enabling users to evaluate neutral dynamics in ecological and microbial communities.
Author: Yuxuan He [aut, cre, cph]
Maintainer: Yuxuan He <heyuxuan0525@outlook.com>

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Package GeNetIt updated to version 0.1-7 with previous version 0.1-6 dated 2023-06-14

Title: Spatial Graph-Theoretic Genetic Gravity Modelling
Description: Implementation of spatial graph-theoretic genetic gravity models. The model framework is applicable for other types of spatial flow questions. Includes functions for constructing spatial graphs, sampling and summarizing associated raster variables and building unconstrained and singly constrained gravity models.
Author: Jeffrey S. Evans [aut, cre], Melanie Murphy [aut]
Maintainer: Jeffrey S. Evans <sage_insights@outlook.com>

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Package coda.pack updated to version 0.1.3 with previous version 0.1.2 dated 2026-04-10

Title: Meta-Package for Compositional Data Analysis
Description: Meta-package for compositional data analysis. It attaches the main stable packages of the 'coda' ecosystem, currently 'coda.base' and 'coda.plot', and provides helper tools to install development extensions from 'GitHub'.
Author: Marc Comas-Cufi [aut, cre]
Maintainer: Marc Comas-Cufi <mcomas@imae.udg.edu>

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Package ciecl updated to version 0.9.6 with previous version 0.9.2 dated 2026-01-27

Title: International Classification of Diseases 'ICD-10'/'ICD-11' for Chile
Description: Tools for working with the International Classification of Diseases ('ICD-10' Chile official 'MINSAL'/'DEIS' v2018). Includes optimized 'SQL' search with 'SQLite', fuzzy matching of medical terms ('Jaro-Winkler'), Charlson and Elixhauser comorbidity calculation, 'WHO' 'ICD-11' 'API' integration, and hierarchical code validation. Data from Centro FIC Chile 'DEIS' <https://deis.minsal.cl/centrofic/>.
Author: Rodolfo Tasso Suazo [aut, cre]
Maintainer: Rodolfo Tasso Suazo <rtasso@uchile.cl>

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Package akin updated to version 0.3.0 with previous version 0.2.1 dated 2026-04-17

Title: Functional Utilities for Data Processing
Description: Covers several areas of data processing: batch-splitting, reading and writing of large data files, data tiling, one-hot encoding and decoding of data tiles, stratified proportional (random or probabilistic) data sampling, data normalization and thresholding, substring location and commonalities inside strings and location and tabulation of amino acids, modifications or associated monoisotopic masses inside modified peptides. The extractor utility implements code from 'Matrix.utils', Varrichio C (2020), <https://cran.r-project.org/package=Matrix.utils>.
Author: Dragos Bandur [aut, cre]
Maintainer: Dragos Bandur <dbandur@sympatico.ca>

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Package clootl (with last version 0.1.3) was removed from CRAN

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

2026-04-17 0.1.3
2025-10-29 0.1.2
2025-04-10 0.1.1

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Package CovEsts updated to version 1.1.0 with previous version 1.0.0 dated 2025-09-10

Title: Nonparametric Estimators for Covariance Functions
Description: Several nonparametric estimators of autocovariance functions. Procedures for constructing their confidence regions by using bootstrap techniques. Methods to correct autocovariance estimators and several tools for analysing and comparing them. Supplementary functions, including kernel computations and discrete cosine Fourier transforms. For more details see Bilchouris and Olenko (2025) <doi:10.17713/ajs.v54i1.1975>.
Author: Adam Bilchouris [cre, aut] , Andriy Olenko [aut]
Maintainer: Adam Bilchouris <adam.bilchouris@gmail.com>

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Package BioThermR updated to version 0.1.1 with previous version 0.1.0 dated 2026-01-21

Title: Standardized Processing and Analysis of Thermal Imaging Data in Animal Studies
Description: A modular framework for standardized analysis of thermal imaging data in animal experimentation. The package integrates thermographic data import (FLIR, raw, CSV), automated region of interest (ROI) segmentation based on 'EBImage' (Pau et al., 2010 <doi:10.1093/bioinformatics/btq046>), interactive ROI refinement, and high-throughput batch processing.
Author: BeiHao Li [aut, cre]
Maintainer: BeiHao Li <szright2000@gmail.com>

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Package sasif updated to version 0.1.3 with previous version 0.1.2 dated 2026-02-03

Title: 'SAS' IF Style Data Step Logic for Data Tables
Description: Provides 'SAS'-style IF/ELSE chains, independent IF rules, and DELETE logic for 'data.table', enabling clinical programmers to express Study Data Tabulation Model (SDTM) and Analysis Data Model (ADaM)-style derivations in familiar SAS-like syntax. Methods are informed by clinical data standards described in CDISC SDTM and ADaM implementation guides. See <https://www.cdisc.org/standards/foundational/sdtm> and <https://www.cdisc.org/standards/foundational/adam>.
Author: Thiyagarajan Chandrasekaran [aut, cre]
Maintainer: Thiyagarajan Chandrasekaran <chandrt23@gmail.com>

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Package randomForestSRC updated to version 3.6.2 with previous version 3.6.1 dated 2026-04-10

Title: Fast Unified Random Forests for Survival, Regression, and Classification (RF-SRC)
Description: Fast OpenMP parallel computing of Breiman's random forests for univariate, multivariate, unsupervised, survival, competing risks, class imbalanced classification and quantile regression. New Mahalanobis splitting for correlated outcomes. Extreme random forests and randomized splitting. Suite of imputation methods for missing data. Fast random forests using subsampling. Confidence regions and standard errors for variable importance. New improved holdout importance. Case-specific importance. Minimal depth variable importance. Visualize trees on your Safari or Google Chrome browser. Anonymous random forests for data privacy.
Author: Hemant Ishwaran [aut], Udaya B. Kogalur [aut, cre]
Maintainer: Udaya B. Kogalur <ubk@kogalur.com>

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Package faunabr updated to version 1.0.1 with previous version 1.0.0 dated 2025-10-20

Title: Explore Catálogo Taxônomico da Fauna do Brasil Database
Description: A collection of functions designed to retrieve, filter and spatialize data from the Catálogo Taxônomico da Fauna do Brasil. For more information about the dataset, please visit <https://fauna.jbrj.gov.br/fauna/listaBrasil/>.
Author: Weverton Trindade [aut, cre]
Maintainer: Weverton Trindade <wevertonf1993@gmail.com>

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Package energyr updated to version 0.4 with previous version 0.2 dated 2025-11-23

Title: Data Published by the United States Federal Energy Regulatory Commission
Description: Data published by the United States Federal Energy Regulatory Commission including electric company financial data, natural gas company financial data, hydropower plant data, liquified natural gas plant data, oil company financial data natural gas company financial data, and natural gas storage field data.
Author: Paul Govan [aut, cre, cph]
Maintainer: Paul Govan <paul.govan2@gmail.com>

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Package detectseparation updated to version 0.4.0 with previous version 0.3 dated 2022-08-26

Title: Detect and Check for Separation and Infinite Maximum Likelihood Estimates
Description: Provides pre-fit and post-fit methods for detecting separation and infinite maximum likelihood estimates in generalized linear models with categorical responses. The pre-fit methods apply on binomial-response generalized liner models such as logit, probit and cloglog regression, and can be directly supplied as fitting methods to the glm() function. They solve the linear programming problems for the detection of separation developed in Konis (2007, <https://ora.ox.ac.uk/objects/uuid:8f9ee0d0-d78e-4101-9ab4-f9cbceed2a2a>) using 'ROI' <https://cran.r-project.org/package=ROI> or 'lpSolveAPI' <https://cran.r-project.org/package=lpSolveAPI>. The post-fit methods apply to models with categorical responses, including binomial-response generalized linear models and multinomial-response models, such as baseline category logits and adjacent category logits models; for example, the models implemented in the 'brglm2' <https://cran.r-project.org/package=brglm2> package. The p [...truncated...]
Author: Ioannis Kosmidis [aut, cre] , Dirk Schumacher [aut], Florian Schwendinger [aut], Kjell Konis [ctb]
Maintainer: Ioannis Kosmidis <ioannis.kosmidis@warwick.ac.uk>

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