Sun, 01 Feb 2026

Package MetaCycle updated to version 1.2.1 with previous version 1.2.0 dated 2019-04-18

Title: Evaluate Periodicity in Large Scale Data
Description: There are two functions-meta2d and meta3d for detecting rhythmic signals from time-series datasets. For analyzing time-series datasets without individual information, 'meta2d' is suggested, which could incorporates multiple methods from ARSER, JTK_CYCLE and Lomb-Scargle in the detection of interested rhythms. For analyzing time-series datasets with individual information, 'meta3d' is suggested, which takes use of any one of these three methods to analyze time-series data individual by individual and gives out integrated values based on analysis result of each individual.
Author: Gang Wu [aut, cre], Ron Anafi [aut, ctb], John Hogenesch [aut, ctb], Michael Hughes [aut, ctb], Karl Kornacker [aut, ctb], Xavier Li [aut, ctb], Matthew Carlucci [aut, ctb]
Maintainer: Gang Wu <wggucas@gmail.com>

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Package insetplot updated to version 1.4.0 with previous version 1.3.0 dated 2025-12-18

Title: Inset Plots for Spatial Data Visualization
Description: Tools for easily and flexibly creating 'ggplot2' maps with inset maps. One crucial feature of maps is that they have fixed coordinate ratios, i.e., they cannot be distorted, which makes it difficult to manually place inset maps. This package provides functions to automatically position inset maps based on user-defined parameters, making it extremely easy to create maps with inset maps with minimal code.
Author: Chao Kong [aut, cre, cph]
Maintainer: Chao Kong <kongchao1998@gmail.com>

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Package enrichit updated to version 0.1.1 with previous version 0.1.0 dated 2026-01-18

Title: 'C++' Implementations of Functional Enrichment Analysis
Description: Fast implementations of functional enrichment analysis methods using 'C++' via 'Rcpp'. Currently provides Over-Representation Analysis (ORA) and Gene Set Enrichment Analysis (GSEA). The multilevel GSEA algorithm is derived from the 'fgsea' package. Methods are described in Subramanian et al. (2005) <doi:10.1073/pnas.0506580102> and Korotkevich et al. (2021) <doi:10.1101/060012>.
Author: Guangchuang Yu [aut, cre]
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>

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Package colorplane updated to version 0.6.0 with previous version 0.5.0 dated 2023-03-03

Title: Basic S4 Classes and Methods for Mapping Between Numeric Values and Colors
Description: A simple set of classes and methods for mapping between scalar intensity values and colors. There is also support for layering maps on top of one another using alpha composition.
Author: Bradley R Buchsbaum [aut, cre]
Maintainer: Bradley R Buchsbaum <brad.buchsbaum@gmail.com>

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Package eatRep updated to version 0.15.3 with previous version 0.15.2 dated 2025-04-30

Title: Educational Assessment Tools for Replication Methods
Description: Replication methods to compute some basic statistic operations (means, standard deviations, frequency tables, percentiles, mean comparisons using weighted effect coding, generalized linear models, and linear multilevel models) in complex survey designs comprising multiple imputed or nested imputed variables and/or a clustered sampling structure which both deserve special procedures at least in estimating standard errors. See the package documentation for a more detailed description along with references.
Author: Sebastian Weirich [aut, cre], Martin Hecht [aut], Karoline Sachse [aut], Benjamin Becker [aut], Edna Grewers [ctb]
Maintainer: Sebastian Weirich <sebastian.weirich@iqb.hu-berlin.de>

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Package ggquickeda updated to version 0.3.3 with previous version 0.3.2 dated 2025-09-15

Title: Quickly Explore Your Data Using 'ggplot2' and 'table1' Summary Tables
Description: Quickly and easily perform exploratory data analysis by uploading your data as a 'csv' file. Start generating insights using 'ggplot2' plots and 'table1' tables with descriptive stats, all using an easy-to-use point and click 'Shiny' interface.
Author: Samer Mouksassi [aut, cre] , Dean Attali [aut], James Craig [aut] , Benjamin Rich [aut] , Michael Sachs [aut]
Maintainer: Samer Mouksassi <samermouksassi@gmail.com>

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Package nestedLogit updated to version 0.3.4 with previous version 0.3.2 dated 2023-06-22

Title: Nested Dichotomy Logistic Regression Models
Description: Provides functions for specifying and fitting nested dichotomy logistic regression models for a multi-category response and methods for summarising and plotting those models. Nested dichotomies are statistically independent, and hence provide an additive decomposition of tests for the overall 'polytomous' response. When the dichotomies make sense substantively, this method can be a simpler alternative to the standard 'multinomial' logistic model which compares response categories to a reference level. See: J. Fox (2016), "Applied Regression Analysis and Generalized Linear Models", 3rd Ed., ISBN 1452205663.
Author: John Fox [aut] , Michael Friendly [aut, cre] , Achim Zeileis [ctb]
Maintainer: Michael Friendly <friendly@yorku.ca>

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Package binomCI updated to version 1.3 with previous version 1.2 dated 2024-11-25

Title: Confidence Intervals for a Binomial Proportion
Description: Twelve confidence intervals for one binomial proportion or a vector of binomial proportions are computed. The confidence intervals are: Jeffreys, Wald, Wald corrected, Wald, Blyth and Still, Agresti and Coull, Wilson, Score, Score corrected, Wald logit, Wald logit corrected, Arcsine and Exact binomial. References include, among others: Vollset, S. E. (1993). "Confidence intervals for a binomial proportion". Statistics in Medicine, 12(9): 809-824. <doi:10.1002/sim.4780120902>.
Author: Michail Tsagris [aut, cre]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>

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Package aamatch updated to version 0.4.5 with previous version 0.3.7 dated 2025-06-24

Title: Artless Automatic or Artful Multivariate Matching for Observational Studies
Description: Implements a simple version of multivariate matching using a propensity score, near-exact matching, near-fine balance, and robust Mahalanobis distance matching (Rosenbaum 2020 <doi:10.1146/annurev-statistics-031219-041058>). You specify the variables, and the program does everything else.
Author: Paul Rosenbaum [aut, cre]
Maintainer: Paul Rosenbaum <rosenbaum@wharton.upenn.edu>

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Package vald.extractor updated to version 0.1.1 with previous version 0.1.0 dated 2026-01-22

Title: Robust Pipeline for 'VALD' 'ForceDecks' Data Extraction and Analysis
Description: Provides a robust and reproducible pipeline for extracting, cleaning, and analyzing athlete performance data generated by 'VALD' 'ForceDecks' systems. The package supports batch-oriented data processing for large datasets, standardized data transformation workflows, and visualization utilities for sports science research and performance monitoring. It is designed to facilitate reproducible analysis across multiple sports with comprehensive documentation and error handling.
Author: Praveen D Chougale [aut, cre], Usha Ananthakumar [aut]
Maintainer: Praveen D Chougale <praveenmaths89@gmail.com>

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Package kkmeans updated to version 0.1.3 with previous version 0.1.2 dated 2026-01-31

Title: Fast Implementations of Kernel K-Means
Description: Implementations several algorithms for kernel k-means. The default 'OTQT' algorithm is a fast alternative to standard implementations of kernel k-means, particularly in cases with many clusters. For a small number of clusters, the implemented 'MacQueen' method typically performs the fastest. For more details and performance evaluations, see Berlinski and Maitra (2025) <doi:10.1002/sam.70032>.
Author: Josh Berlinski [aut, cre]
Maintainer: Josh Berlinski <jdberlinski@gmail.com>

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Package ssimparser updated to version 0.1.2 with previous version 0.1.1 dated 2022-01-11

Title: Standard Schedules Information Parser
Description: Parse Standard Schedules Information file (types 2 and 3) into a Data Frame. Can also expand schedules into flights.
Author: Sebastien Thonnard [aut, cre]
Maintainer: Sebastien Thonnard <sebastien.thonnard@icloud.com>

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Package pedtools updated to version 2.10.0 with previous version 2.9.0 dated 2025-10-28

Title: Creating and Working with Pedigrees and Marker Data
Description: A comprehensive collection of tools for creating, manipulating and visualising pedigrees and genetic marker data. Pedigrees can be read from text files or created on the fly with built-in functions. A range of utilities enable modifications like adding or removing individuals, breaking loops, and merging pedigrees. An online tool for creating pedigrees interactively, based on 'pedtools', is available at <https://magnusdv.shinyapps.io/quickped>. 'pedtools' is the hub of the 'pedsuite', a collection of packages for pedigree analysis. A detailed presentation of the 'pedsuite' is given in the book 'Pedigree Analysis in R' (Vigeland, 2021, ISBN:9780128244302).
Author: Magnus Dehli Vigeland [aut, cre]
Maintainer: Magnus Dehli Vigeland <m.d.vigeland@medisin.uio.no>

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Package spEDM updated to version 1.10 with previous version 1.9 dated 2025-11-30

Title: Spatial Empirical Dynamic Modeling
Description: Inferring causation from spatial cross-sectional data through empirical dynamic modeling (EDM), with methodological extensions including geographical convergent cross mapping from Gao et al. (2023) <doi:10.1038/s41467-023-41619-6>, as well as the spatial causality test following the approach of Herrera et al. (2016) <doi:10.1111/pirs.12144>, together with geographical pattern causality proposed in Zhang et al. (2025) <doi:10.1080/13658816.2025.2581207>.
Author: Wenbo Lv [aut, cre, cph]
Maintainer: Wenbo Lv <lyu.geosocial@gmail.com>

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Package pam updated to version 2.0.0 with previous version 1.0.6 dated 2025-08-27

Title: Fast and Efficient Processing of PAM Data
Description: Processing Chlorophyll Fluorescence & P700 Absorbance data. Four models are provided for the regression of Pi curves, which can be compared with each other in order to select the most suitable model for the data set. Control plots ensure the successful verification of each regression. Bundled output of alpha, ETRmax, Ik etc. enables fast and reliable further processing of the data.
Author: Julien Boehm [cre, aut] , Philipp Schrag [aut]
Maintainer: Julien Boehm <julien.boehm@uni-rostock.de>

Diff between pam versions 1.0.6 dated 2025-08-27 and 2.0.0 dated 2026-02-01

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More information about pam at CRAN
Permanent link

Package ontologySimilarity updated to version 2.9 with previous version 2.7 dated 2024-03-29

Title: Calculating Ontological Similarities
Description: Calculate similarity between ontological terms and sets of ontological terms based on term information content and assess statistical significance of similarity in the context of a collection of terms sets - Greene et al. 2017 <doi:10.1093/bioinformatics/btw763>.
Author: Daniel Greene [aut, cre]
Maintainer: Daniel Greene <dg333@cam.ac.uk>

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Permanent link

Package bvhar updated to version 2.4.0 with previous version 2.3.0 dated 2025-06-25

Title: Bayesian Vector Heterogeneous Autoregressive Modeling
Description: Tools to model and forecast multivariate time series including Bayesian Vector heterogeneous autoregressive (VHAR) model by Kim & Baek (2023) (<doi:10.1080/00949655.2023.2281644>). 'bvhar' can model Vector Autoregressive (VAR), VHAR, Bayesian VAR (BVAR), and Bayesian VHAR (BVHAR) models.
Author: Young Geun Kim [aut, cre, cph] , Changryong Baek [ctb]
Maintainer: Young Geun Kim <ygeunkimstat@gmail.com>

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Package BetterReg updated to version 0.3.0 with previous version 0.2.0 dated 2022-03-30

Title: Better Statistics for OLS and Binomial Logistic Regression
Description: Provides squared semi partial correlations, tolerance, Mahalanobis, Likelihood Ratio Chi Square, and Pseudo R Square. Aberson, C. L. (2022) <doi:10.31234/osf.io/s2yqn>.
Author: Chris Aberson [aut, cre]
Maintainer: Chris Aberson <chris.aberson@gmail.com>

Diff between BetterReg versions 0.2.0 dated 2022-03-30 and 0.3.0 dated 2026-02-01

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

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

2022-08-22 1.0

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New package SVG with initial version 1.0.0
Package: SVG
Title: Spatially Variable Genes Detection Methods for Spatial Transcriptomics
Version: 1.0.0
Description: A unified framework for detecting spatially variable genes (SVGs) in spatial transcriptomics data. This package integrates multiple state-of-the-art SVG detection methods including 'MERINGUE' (Moran's I based spatial autocorrelation), 'Giotto' binSpect (binary spatial enrichment test), 'SPARK-X' (non-parametric kernel-based test), and 'nnSVG' (nearest-neighbor Gaussian processes). Each method is implemented with optimized performance through vectorization, parallelization, and 'C++' acceleration where applicable. Methods are described in Miller et al. (2021) <doi:10.1101/gr.271288.120>, Dries et al. (2021) <doi:10.1186/s13059-021-02286-2>, Zhu et al. (2021) <doi:10.1186/s13059-021-02404-0>, and Weber et al. (2023) <doi:10.1038/s41467-023-39748-z>.
License: MIT + file LICENSE
URL: https://github.com/Zaoqu-Liu/SVG, https://zaoqu-liu.github.io/SVG/
BugReports: https://github.com/Zaoqu-Liu/SVG/issues
Encoding: UTF-8
LazyData: false
Depends: R (>= 4.0.0)
Imports: parallel, stats, utils, methods, MASS, Rcpp (>= 1.0.0)
Suggests: BRISC, geometry, RANN, CompQuadForm, BiocParallel, SpatialExperiment, SingleCellExperiment, SummarizedExperiment, spatstat.geom, spatstat.explore, testthat (>= 3.0.0), knitr, rmarkdown, covr
LinkingTo: Rcpp, RcppArmadillo
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-01-28 03:40:06 UTC; liuzaoqu
Author: Zaoqu Liu [aut, cre] , SVGbench Contributors [ctb]
Maintainer: Zaoqu Liu <liuzaoqu@163.com>
Repository: CRAN
Date/Publication: 2026-02-01 07:20:07 UTC

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Package maxEff updated to version 0.2.2 with previous version 0.2.1 dated 2026-01-24

Title: Additional Predictor with Maximum Effect Size
Description: Methods of selecting one from many numeric predictors for a regression model, to ensure that the additional predictor has the maximum effect size.
Author: Tingting Zhan [aut, cre]
Maintainer: Tingting Zhan <tingtingzhan@gmail.com>

Diff between maxEff versions 0.2.1 dated 2026-01-24 and 0.2.2 dated 2026-02-01

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Package groupedHyperframe.random updated to version 0.2.2 with previous version 0.2.1 dated 2026-01-24

Title: Simulated Grouped Hyper Data Frame
Description: An intuitive interface to simulate (1) superimposed (marked) point patterns with vectorized parameterization of random point pattern and distribution of marks; and (2) grouped hyper data frame based on population parameters and subject-specific random effects.
Author: Tingting Zhan [aut, cre]
Maintainer: Tingting Zhan <tingtingzhan@gmail.com>

Diff between groupedHyperframe.random versions 0.2.1 dated 2026-01-24 and 0.2.2 dated 2026-02-01

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Package groupedHyperframe updated to version 0.3.4 with previous version 0.3.3 dated 2026-01-21

Title: Grouped Hyper Data Frame
Description: An S3 class 'groupedHyperframe' that inherits from hyper data frame. Batch processes and aggregation of hyper column(s) over a nested grouping structure.
Author: Tingting Zhan [aut, cre]
Maintainer: Tingting Zhan <tingtingzhan@gmail.com>

Diff between groupedHyperframe versions 0.3.3 dated 2026-01-21 and 0.3.4 dated 2026-02-01

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New package date4ts with initial version 0.1.1
Package: date4ts
Title: Wrangle and Modify Ts Object with Classic Frequencies and Exact Dates
Version: 0.1.1
Description: The ts objects in R are managed using a very specific date format (in the form c(2022, 9) for September 2022 or c(2021, 2) for the second quarter of 2021, depending on the frequency, for example). We focus solely on monthly and quarterly series to manage the dates of ts objects. The general idea is to offer a set of functions to manage this date format without it being too restrictive or too imprecise depending on the rounding. This is a compromise between simplicity, precision and use of the basic 'stats' functions for creating and managing time series (ts(), window()). Les objets ts en R sont gérés par un format de date très particulier (sous la forme c(2022, 9) pour septembre 2022 ou c(2021, 2) pour le deuxième trimestre 2021 selon la fréquence par exemple). On se concentre uniquement sur les séries mensuelles et trimestrielles pour gérer les dates des objets ts. Lidée générale est de proposer un ensemble de fonctions pour gérer ce format de date sans que ce soit trop contraignant o [...truncated...]
License: GPL (>= 3)
URL: https://github.com/TractorTom/date4ts, https://tractortom.github.io/date4ts/
BugReports: https://github.com/TractorTom/date4ts/issues
Encoding: UTF-8
Imports: stats, checkmate
Depends: R (>= 4.1)
LazyData: true
Suggests: testthat (>= 3.0.0), renv, fuzzr, pkgdown, devtools, usethis, covr, withr, altdoc
NeedsCompilation: no
Packaged: 2026-01-28 15:08:24 UTC; onyxia
Author: Tanguy Barthelemy [aut, cre]
Maintainer: Tanguy Barthelemy <tangbarth@hotmail.fr>
Repository: CRAN
Date/Publication: 2026-02-01 08:00:02 UTC

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New package comphy with initial version 1.0.5
Package: comphy
Title: Functions Used in the Book "Computational Physics with R"
Version: 1.0.5
Description: Provides a collection of functions described and used in the book Foadi (2026, ISBN:9780750326308) "Computational Physics with R". These include routines for numerical differentiation, integration, differential equations, eigenvalue problems, Monte Carlo methods, and other algorithms relevant to computational physics.
License: GPL (>= 2)
Encoding: UTF-8
Depends: R (>= 3.6.0)
URL: https://github.com/jfoadi/comphy
BugReports: https://github.com/jfoadi/comphy/issues
NeedsCompilation: no
Packaged: 2026-01-28 15:32:26 UTC; james
Author: James Foadi [aut, cre]
Maintainer: James Foadi <james_foadi@yahoo.co.uk>
Repository: CRAN
Date/Publication: 2026-02-01 08:00:09 UTC

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New package blockstrap with initial version 1.0.0
Package: blockstrap
Title: Sample Dataframes by a Group
Version: 1.0.0
Description: Sample dataframes by group, in the form of a 'block bootstrap'. Entire groups are returned allowing for a single 'observation' to span multiple rows of the dataframe.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Suggests: HospitalNetwork, knitr, rmarkdown, testthat (>= 3.0.0)
Imports: dplyr, cli, rlang, vctrs
VignetteBuilder: knitr
URL: https://numbats.github.io/blockstrap/, https://github.com/numbats/blockstrap
BugReports: https://github.com/numbats/blockstrap/issues
NeedsCompilation: no
Packaged: 2026-01-28 03:08:13 UTC; mlyd0001
Author: Michael Lydeamore [aut, cre, cph] , Cash Looi [aut] , Kenyon Ng [aut] , Mitchell O'Hara-Wild [aut]
Maintainer: Michael Lydeamore <michael.lydeamore@monash.edu>
Repository: CRAN
Date/Publication: 2026-02-01 07:20:02 UTC

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New package adsasi with initial version 0.9.0.1
Package: adsasi
Title: Adaptive Sample Size Simulator
Version: 0.9.0.1
Description: A simulations-first sample size determination package that aims at making sample size formulae obsolete for most easily computable statistical experiments ; the main envisioned use case is clinical trials. The proposed clinical trial must be written by the user in the form of a function that takes as argument a sample size and returns a boolean (for whether or not the trial is a success). The 'adsasi' functions will then use it to find the correct sample size empirically. The unavoidable mis-specification is obviated by trying sample size values close to the right value, the latter being understood as the value that gives the probability of success the user wants (usually 80 or 90% in biostatistics, corresponding to 20 or 10% type II error).
License: GPL (>= 3)
Encoding: UTF-8
Depends: abind, grDevices, graphics, stats
NeedsCompilation: no
Packaged: 2026-01-28 11:31:41 UTC; Skerdi_HAVIARI
Author: Skerdi Haviari [aut, cre]
Maintainer: Skerdi Haviari <skerdi.haviari@aphp.fr>
Repository: CRAN
Date/Publication: 2026-02-01 07:50:11 UTC

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Package huge (with last version 1.3.5) was removed from CRAN

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

2021-06-30 1.3.5
2020-04-01 1.3.4.1
2019-10-28 1.3.4
2019-09-09 1.3.3
2019-04-08 1.3.2
2019-03-11 1.3.1
2019-02-22 1.3.0
2015-09-16 1.2.7
2014-02-28 1.2.6
2013-12-07 1.2.5
2012-08-16 1.2.4

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Package nutriNetwork (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:

2025-11-09 0.2.0
2023-07-05 0.1.2
2019-04-26 0.1.1

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

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

2025-11-12 1.1.0
2023-10-19 1.0.0
2023-10-19 1.0.1

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Package HTGM3D (with last version 1.0) was removed from CRAN

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

2025-05-30 1.0

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Package NetGreg (with last version 0.0.2) was removed from CRAN

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

2025-06-03 0.0.2

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Package HeteroGGM (with last version 1.0.1) was removed from CRAN

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

2023-10-11 1.0.1
2021-02-11 0.1.0

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Package jaccard (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:

2018-06-14 0.1.0

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Package noisysbmGGM (with last version 0.1.2.3) was removed from CRAN

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2024-03-07 0.1.2.3

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Package rgm (with last version 1.0.4) was removed from CRAN

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

2024-03-21 1.0.4
2024-03-12 1.0.3
2024-01-12 1.0.1

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Package netgwas (with last version 1.14.4) was removed from CRAN

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

2025-11-10 1.14.4
2024-03-19 1.14.3
2023-08-07 1.14.2
2022-08-25 1.14.1
2022-08-17 1.14
2020-11-17 1.13
2020-10-21 1.12
2019-10-15 1.11
2019-04-12 1.10
2019-03-26 1.9
2019-02-16 1.8.1
2018-08-13 1.7.0
2018-05-16 1.5.0
2018-04-06 0.1.4.2
2018-03-13 0.1.3.2
2018-02-07 0.1.3.0
2018-02-07 0.1.3.1
2018-01-12 0.1.2.0
2017-12-01 0.0.1-1

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Package HTGM2D (with last version 1.1) was removed from CRAN

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

2025-05-18 1.1
2025-04-07 1.0

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Package stminsights (with last version 0.4.3) was removed from CRAN

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

2024-06-21 0.4.3

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Package SparseTSCGM (with last version 4.1) was removed from CRAN

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

2026-01-09 4.1
2021-01-13 4.0
2020-05-24 3.0
2016-11-06 2.5
2015-07-16 2.2
2014-08-21 2.1.1
2014-01-31 2.0
2013-05-24 1.0

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Package spatstat updated to version 3.5-1 with previous version 3.5-0 dated 2025-12-01

Title: Spatial Point Pattern Analysis, Model-Fitting, Simulation, Tests
Description: Comprehensive open-source toolbox for analysing Spatial Point Patterns. Focused mainly on two-dimensional point patterns, including multitype/marked points, in any spatial region. Also supports three-dimensional point patterns, space-time point patterns in any number of dimensions, point patterns on a linear network, and patterns of other geometrical objects. Supports spatial covariate data such as pixel images. Contains over 3000 functions for plotting spatial data, exploratory data analysis, model-fitting, simulation, spatial sampling, model diagnostics, and formal inference. Data types include point patterns, line segment patterns, spatial windows, pixel images, tessellations, and linear networks. Exploratory methods include quadrat counts, K-functions and their simulation envelopes, nearest neighbour distance and empty space statistics, Fry plots, pair correlation function, kernel smoothed intensity, relative risk estimation with cross-validated bandwidth selection, mark correlatio [...truncated...]
Author: Adrian Baddeley [aut, cre] , Rolf Turner [aut] , Ege Rubak [aut]
Maintainer: Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>

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Package public.ctn0094data updated to version 1.1.0 with previous version 1.0.6 dated 2023-10-01

Title: De-Identified Data from CTN-0094
Description: These are harmonized datasets produced as part of the Clinical Trials Network (CTN) protocol number 0094. This is a US National Institute of Drug Abuse (NIDA) funded project; to learn more go to <https://ctnlibrary.org/protocol/ctn0094/>. These are datasets which have the data harmonized from CTN-0027 (<https://ctnlibrary.org/protocol/ctn0027/>), CTN-0030 (<https://ctnlibrary.org/protocol/ctn0030/>), and CTN-0051 (<https://ctnlibrary.org/protocol/ctn0051/>).
Author: Raymond Balise [aut, cre] , Gabriel Odom [aut] , Anna Calderon [aut] , Kyle Grealis [aut] , Michael Ackerman [aut]
Maintainer: Raymond Balise <balise@miami.edu>

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Package nanoarrow updated to version 0.7.0-3 with previous version 0.7.0-2 dated 2025-12-04

Title: Interface to the 'nanoarrow' 'C' Library
Description: Provides an 'R' interface to the 'nanoarrow' 'C' library and the 'Apache Arrow' application binary interface. Functions to import and export 'ArrowArray', 'ArrowSchema', and 'ArrowArrayStream' 'C' structures to and from 'R' objects are provided alongside helpers to facilitate zero-copy data transfer among 'R' bindings to libraries implementing the 'Arrow' 'C' data interface.
Author: Dewey Dunnington [aut, cre] , Apache Arrow [aut, cph], Apache Software Foundation [cph]
Maintainer: Dewey Dunnington <dewey@dunnington.ca>

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Package caretForecast updated to version 0.1.3 with previous version 0.1.2 dated 2026-01-30

Title: Conformal Time Series Forecasting Using State of Art Machine Learning Algorithms
Description: Conformal time series forecasting using the caret infrastructure. It provides access to state-of-the-art machine learning models for forecasting applications. The hyperparameter of each model is selected based on time series cross-validation, and forecasting is done recursively.
Author: Resul Akay [aut, cre]
Maintainer: Resul Akay <resul.akay@taf-society.org>

Diff between caretForecast versions 0.1.2 dated 2026-01-30 and 0.1.3 dated 2026-02-01

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 R/arml.R                             |   17 -
 R/utils.R                            |   10 
 README.md                            |   18 +
 man/figures/README-example6-2.png    |binary
 man/figures/logo.png                 |only
 man/get_var_imp.Rd                   |    2 
 tests/testthat/test-ARml.R           |  395 +++++++++++++++++++++++++++++++++++
 tests/testthat/test-calibration.R    |only
 tests/testthat/test-conformal_pred.R |  271 ++++++++++++++++++++++++
 tests/testthat/test-forecast.ARml.R  |  117 ++++++++++
 tests/testthat/test-get_var_imp.R    |   42 +++
 tests/testthat/test-short_series.R   |   47 ++++
 tests/testthat/test-split_ts.R       |   81 +++++++
 tests/testthat/test-utils.R          |only
 17 files changed, 1018 insertions(+), 49 deletions(-)

More information about caretForecast at CRAN
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