Fri, 13 Feb 2026

Package iNZightTS updated to version 2.0.4 with previous version 2.0.3 dated 2026-01-16

Title: Time Series for 'iNZight'
Description: Provides a collection of functions for working with time series data, including functions for drawing, decomposing, and forecasting. Includes capabilities to compare multiple series and fit both additive and multiplicative models. Used by 'iNZight', a graphical user interface providing easy exploration and visualisation of data for students of statistics, available in both desktop and online versions. Holt (1957) <doi:10.1016/j.ijforecast.2003.09.015>, Winters (1960) <doi:10.1287/mnsc.6.3.324>, Cleveland, Cleveland, & Terpenning (1990) "STL: A Seasonal-Trend Decomposition Procedure Based on Loess".
Author: Tom Elliott [aut, cre] , Zhaoming Su [aut], Junjie Zeng [ctb], Simon Potter [ctb], David Banks [ctb], Marco Kuper [ctb], Dongning Zhang [ctb]
Maintainer: Tom Elliott <tom.elliott@auckland.ac.nz>

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Package mascarade updated to version 0.3.1 with previous version 0.3.0 dated 2026-01-12

Title: Generating Cluster Masks for Single-Cell Dimensional Reduction Plots
Description: Implements a procedure to automatically generate 2D masks for clusters on dimensional reduction plots from methods like t-SNE (t-distributed stochastic neighbor embedding) or UMAP (uniform manifold approximation and projection), with a focus on single-cell RNA-sequencing data.
Author: Alexey Sergushichev [aut, cre]
Maintainer: Alexey Sergushichev <alsergbox@gmail.com>

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Package BLSloadR updated to version 0.4 with previous version 0.2 dated 2025-11-25

Title: Download Time Series Data from the U.S. Bureau of Labor Statistics
Description: These functions provide a convenient interface for downloading data from the U.S. Bureau of Labor Statistics <https://www.bls.gov>. The functions in this package utilize flat files produced by the Bureau of Labor Statistics, which contain full series history. These files include employment, unemployment, wages, prices, industry and occupational data at a national, state, and sub-state level, depending on the series. Individual functions are included for those programs which have data available at the state level. The core functions provide direct access to the Current Employment Statistics (CES) <https://www.bls.gov/ces/>, Local Area Unemployment Statistics (LAUS) <https://www.bls.gov/lau/>, Occupational Employment and Wage Statistics (OEWS) <https://www.bls.gov/oes/> and Alternative Measures of Labor Underutilization (SALT) <https://www.bls.gov/lau/stalt.htm> data produced by the Bureau of Labor Statistics.
Author: Nevada Department of Employment, Training, and Rehabilitation [cph], David Schmidt [aut, cre], Mark Rembert [aut]
Maintainer: David Schmidt <deschmidt@detr.nv.gov>

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Package FCO updated to version 2.0.1 with previous version 2.0.0 dated 2025-09-25

Title: Flexible Cutoffs for Model Fit Evaluation in Covariance-Based Structural Models
Description: A toolbox to derive flexible cutoffs for fit indices in 'Covariance-based Structural Equation Modeling' based on the paper by 'Niemand & Mai (2018)' <doi:10.1007/s11747-018-0602-9>. Flexible cutoffs are an alternative to fixed cutoffs - rules-of-thumb - regarding an appropriate cutoff for fit indices such as 'CFI' or 'SRMR'. It has been demonstrated that these flexible cutoffs perform better than fixed cutoffs in grey areas where misspecification is not easy to detect. The package provides an alternative to the tool at <https://flexiblecutoffs.org> as it allows to tailor flexible cutoffs to a given dataset and model, which is so far not available in the tool. The package simulates fit indices based on a given dataset and model and then estimates the flexible cutoffs. Some useful functions, e.g., to determine the 'GoF-' or 'BoF-nature' of a fit index, are provided. So far, additional options for a relative use (is a model better than another?) are provided in an explorat [...truncated...]
Author: Thomas Niemand [aut, cre] , Robert Mai [ctb] , Nadine Schroeder [ctb] , Andreas Falke [ctb]
Maintainer: Thomas Niemand <thomas.niemand@gmail.com>

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Package ulex updated to version 0.1.1 with previous version 0.1.0 dated 2024-06-17

Title: Unique Location Extractor
Description: Extracts coordinates of an event location from text based on dictionaries of landmarks, roads, and areas. Only returns the location of an event of interest and ignores other location references; for example, if determining the location of a road traffic crash from the text "crash near [location 1] heading towards [location 2]", only the coordinates of "location 1" would be returned. Moreover, accounts for differences in spelling between how a user references a location and how a location is captured in location dictionaries. For more information on the algorithm, see Milusheva et al. (2021) <doi:10.1371/journal.pone.0244317>.
Author: Robert Marty [aut, cre]
Maintainer: Robert Marty <rmarty@worldbank.org>

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Package quickOutlier updated to version 0.1.5 with previous version 0.1.0 dated 2025-12-19

Title: Detect and Treat Outliers in Data Mining
Description: Implements a suite of tools for outlier detection and treatment in data mining. It includes univariate methods (Z-score, Interquartile Range), multivariate detection using Mahalanobis distance, and density-based detection (Local Outlier Factor) via the 'dbscan' package. It also provides functions for visualization using 'ggplot2' and data cleaning via Winsorization.
Author: Daniel Lopez Perez [aut, cre]
Maintainer: Daniel Lopez Perez <dlopez350@icloud.com>

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Package LogicForest updated to version 2.1.3 with previous version 2.1.2 dated 2025-07-14

Title: Logic Forest
Description: Logic Forest is an ensemble machine learning method that identifies important and interpretable combinations of binary predictors using logic regression trees to model complex relationships with an outcome. Wolf, B.J., Slate, E.H., Hill, E.G. (2010) <doi:10.1093/bioinformatics/btq354>.
Author: Bethany Wolf [aut], Melica Nikahd [ctb, cre], Andrew Gothard [ctb], Madison Hyer [ctb]
Maintainer: Melica Nikahd <melica.nikahd@osumc.edu>

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Package invitroTKdata updated to version 0.0.2 with previous version 0.0.1 dated 2025-08-19

Title: In Vitro Toxicokinetic Data Processed with the 'invitroTKstats' Pipeline
Description: A collection of datasets containing a variety of in vitro toxicokinetic measurements including -- but not limited to -- chemical fraction unbound in the presence of plasma (f_up), intrinsic hepatic clearance (Clint, uL/min/million hepatocytes), and membrane permeability for oral absorption (Caco2). The datasets provided by the package were processed and analyzed with the companion 'invitroTKstats' package.
Author: Sarah E. Davidson-Fritz [aut] , Caroline Ring [cre] , John Wambaugh [aut] , Lindsay Knupp [ctb], Barbara A. Wetmore [ctb] , Anna Kreutz [ctb] , Marci Smeltz [ctb] , David Crizer [ctb], U.S. Federal Government [cph]
Maintainer: Caroline Ring <ring.caroline@epa.gov>

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Package googletraffic updated to version 0.1.8 with previous version 0.1.7 dated 2024-09-04

Title: Google Traffic
Description: Create geographically referenced traffic data from the Google Maps JavaScript API <https://developers.google.com/maps/documentation/javascript/examples/layer-traffic>.
Author: Robert Marty [aut, cre]
Maintainer: Robert Marty <rmarty@worldbank.org>

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Package fcaR updated to version 1.5.0 with previous version 1.3.0 dated 2026-01-12

Title: Formal Concept Analysis
Description: Provides tools to perform fuzzy formal concept analysis, presented in Wille (1982) <doi:10.1007/978-3-642-01815-2_23> and in Ganter and Obiedkov (2016) <doi:10.1007/978-3-662-49291-8>. It provides functions to load and save a formal context, extract its concept lattice and implications. In addition, one can use the implications to compute semantic closures of fuzzy sets and, thus, build recommendation systems. Matrix factorization is provided by the GreConD+ algorithm (Belohlavek and Trneckova, 2024 <doi:10.1109/TFUZZ.2023.3330760>).
Author: Domingo Lopez Rodriguez [aut, cre] , Angel Mora [aut], Jesus Dominguez [aut], Ana Villalon [aut]
Maintainer: Domingo Lopez Rodriguez <dominlopez78@gmail.com>

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Package tseriesTARMA updated to version 0.5-2 with previous version 0.5-1 dated 2024-10-08

Title: Analysis of Nonlinear Time Series Through Threshold Autoregressive Moving Average Models (TARMA) Models
Description: Routines for nonlinear time series analysis based on Threshold Autoregressive Moving Average (TARMA) models. It provides functions and methods for: TARMA model fitting and forecasting, including robust estimators, see Goracci et al. JBES (2025) <doi:10.1080/07350015.2024.2412011>; tests for threshold effects, see Giannerini et al. JoE (2024) <doi:10.1016/j.jeconom.2023.01.004>, Goracci et al. Statistica Sinica (2023) <doi:10.5705/ss.202021.0120>, Angelini et al. (2024) OBES <doi:10.1111/obes.12647>; unit-root tests based on TARMA models, see Chan et al. Statistica Sinica (2024) <doi:10.5705/ss.202022.0125>.
Author: Simone Giannerini [aut, cre] , Greta Goracci [aut]
Maintainer: Simone Giannerini <simone.giannerini@uniud.it>

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Package rsynthbio updated to version 4.0.1 with previous version 4.0.0 dated 2025-12-03

Title: Synthesize Bio API Wrapper
Description: Access Synthesize Bio models from their API <https://app.synthesize.bio/> using this wrapper that provides a convenient interface to the Synthesize Bio API, allowing users to generate realistic gene expression data based on specified biological conditions. This package enables researchers to easily access AI-generated transcriptomic data for various modalities including bulk RNA-seq, single-cell RNA-seq, microarray data, and more.
Author: Synthesize Bio [aut, cre]
Maintainer: Synthesize Bio <candace@synthesize.bio>

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Package graphPAF readmission to version 2.0.1 with previous version 2.0.0 dated 2023-12-20

Title: Estimating and Displaying Population Attributable Fractions
Description: Estimation and display of various types of population attributable fraction and impact fractions. As well as the usual calculations of attributable fractions and impact fractions, functions are provided for attributable fraction nomograms and fan plots, continuous exposures, for pathway specific population attributable fractions, and for joint, average and sequential population attributable fractions.
Author: John Ferguson [aut, cre]
Maintainer: John Ferguson <john.ferguson@universityofgalway.ie>

This is a re-admission after prior archival of version 2.0.0 dated 2023-12-20

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Package xegaSelectGene updated to version 1.0.0.4 with previous version 1.0.0.3 dated 2025-04-16

Title: Selection of Genes and Gene Representation Independent Functions
Description: This collection of gene representation-independent mechanisms for evolutionary and genetic algorithms for the R-package xega <https://CRAN.R-project.org/package=xega> contains four groups of functions: First, functions for selecting a gene in a population of genes according to its fitness value and for adaptive scaling of the fitness values as well as for performance optimization and measurement offer several variants for implementing the survival of the fittest. Second, evaluation functions for deterministic functions avoid recomputation. Evaluation of stochastic functions incrementally improve the estimation of the mean and variance of fitness values at almost no additional cost. Evaluation functions for gene repair handle error-correcting decoders. Third, timing and counting functions for profiling the algorithm pipeline are provided to assess bottlenecks in the algorithms. Fourth, a small collection of problem environments for function optimization, combinatorial optimization [...truncated...]
Author: Andreas Geyer-Schulz [aut, cre]
Maintainer: Andreas Geyer-Schulz <Andreas.Geyer-Schulz@kit.edu>

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Package Spower updated to version 0.6 with previous version 0.5.1 dated 2025-11-27

Title: Power Analyses using Monte Carlo Simulations
Description: Provides a general purpose simulation-based power analysis API for routine and customized simulation experimental designs. The package focuses exclusively on Monte Carlo simulation experiment variants of (expected) prospective power analyses, criterion analyses, compromise analyses, sensitivity analyses, and a priori/post-hoc analyses. The default simulation experiment functions defined within the package provide stochastic variants of the power analysis subroutines in G*Power 3.1 (Faul, Erdfelder, Buchner, and Lang, 2009) <doi:10.3758/brm.41.4.1149>, along with various other parametric and non-parametric power analysis applications (e.g., mediation analyses) and support for Bayesian power analysis by way of Bayes factors or posterior probability evaluations. Additional functions for building empirical power curves, reanalyzing simulation information, and for increasing the precision of the resulting power estimates are also included, each of which utilize similar API structures. [...truncated...]
Author: Phil Chalmers [aut, cre]
Maintainer: Phil Chalmers <rphilip.chalmers@gmail.com>

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Package shapley updated to version 0.6.0 with previous version 0.5.1 dated 2025-09-18

Title: Weighted Mean SHAP and CI for Robust Feature Assessment in ML Grid
Description: This R package introduces Weighted Mean SHapley Additive exPlanations (WMSHAP), an innovative method for calculating SHAP values for a grid of fine-tuned base-learner machine learning models as well as stacked ensembles, a method not previously available due to the common reliance on single best-performing models. By integrating the weighted mean SHAP values from individual base-learners comprising the ensemble or individual base-learners in a tuning grid search, the package weights SHAP contributions according to each model's performance, assessed by multiple either R squared (for both regression and classification models). alternatively, this software also offers weighting SHAP values based on the area under the precision-recall curve (AUCPR), the area under the curve (AUC), and F2 measures for binary classifiers. It further extends this framework to implement weighted confidence intervals for weighted mean SHAP values, offering a more comprehensive and robust feature importance eval [...truncated...]
Author: E. F. Haghish [aut, cre, cph]
Maintainer: E. F. Haghish <haghish@hotmail.com>

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Package plotrix updated to version 3.8-14 with previous version 3.8-13 dated 2025-11-14

Title: Various Plotting Functions
Description: Lots of plots, various labeling, axis and color scaling functions. The author/maintainer died in September 2023.
Author: Jim Lemon [aut], Ben Bolker [ctb], Sander Oom [ctb], Eduardo Klein [ctb], Barry Rowlingson [ctb], Hadley Wickham [ctb], Anupam Tyagi [ctb], Olivier Eterradossi [ctb], Gabor Grothendieck [ctb], Michael Toews [ctb], John Kane [ctb], Rolf Turner [ctb], [...truncated...]
Maintainer: Duncan Murdoch <murdoch.duncan@gmail.com>

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Package later updated to version 1.4.6 with previous version 1.4.5 dated 2026-01-08

Title: Utilities for Scheduling Functions to Execute Later with Event Loops
Description: Executes arbitrary R or C functions some time after the current time, after the R execution stack has emptied. The functions are scheduled in an event loop.
Author: Winston Chang [aut] , Joe Cheng [aut], Charlie Gao [aut, cre] , Posit Software, PBC [cph, fnd] , Marcus Geelnard [ctb, cph] , Evan Nemerson [ctb, cph]
Maintainer: Charlie Gao <charlie.gao@posit.co>

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Package haplo.stats updated to version 1.9.8.2 with previous version 1.9.7.1 dated 2026-02-12

Title: Statistical Analysis of Haplotypes with Traits and Covariates when Linkage Phase is Ambiguous
Description: Routines for the analysis of indirectly measured haplotypes. The statistical methods assume that all subjects are unrelated and that haplotypes are ambiguous (due to unknown linkage phase of the genetic markers). The main functions are: haplo.em(), haplo.glm(), haplo.score(), and haplo.power(); all of which have detailed examples in the vignette.
Author: Schaid Daniel [aut], Jason P. Sinnwell [aut, cre]
Maintainer: Jason P. Sinnwell <sinnwell.jason@mayo.edu>

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Package gstat updated to version 2.1-5 with previous version 2.1-4 dated 2025-07-10

Title: Spatial and Spatio-Temporal Geostatistical Modelling, Prediction and Simulation
Description: Variogram modelling; simple, ordinary and universal point or block (co)kriging; spatio-temporal kriging; sequential Gaussian or indicator (co)simulation; variogram and variogram map plotting utility functions; supports sf and stars.
Author: Edzer Pebesma [aut, cre] , Benedikt Graeler [aut]
Maintainer: Edzer Pebesma <edzer.pebesma@uni-muenster.de>

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Package DendSer updated to version 1.0.3 with previous version 1.0.2 dated 2022-04-28

Title: Dendrogram Seriation: Ordering for Visualisation
Description: Re-arranges a dendrogram to optimize visualisation-based cost functions. The methods implemented here are described in "Advances in Dendrogram Seriation for Application to Visualization", Journal of Computational and Graphical Statistics (2015) D. Earle and C.B. Hurley <doi:10.1080/10618600.2013.874295>.
Author: Catherine B. Hurley [aut], Denise Earle [aut], Catherine Hurley [cre]
Maintainer: Catherine Hurley <catherine.hurley@mu.ie>

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Package codebookr readmission to version 0.1.9 with previous version 0.1.8 dated 2024-02-19

Title: Create Codebooks from Data Frames
Description: Quickly and easily create codebooks (i.e. data dictionaries) directly from a data frame.
Author: Brad Cannell [aut, cre, cph]
Maintainer: Brad Cannell <brad.cannell@gmail.com>

This is a re-admission after prior archival of version 0.1.8 dated 2024-02-19

Diff between codebookr versions 0.1.8 dated 2024-02-19 and 0.1.9 dated 2026-02-13

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Permanent link

Package bunddev updated to version 0.2.0 with previous version 0.1.0 dated 2026-02-08

Title: Discover and Call 'Bund.dev' APIs
Description: Provides a registry of APIs listed on <https://bund.dev> and a core 'OpenAPI' client layer to explore specs and perform requests. Adapter helpers return tidy tibbles for supported APIs, with optional response caching and rate limiting guidance.
Author: Michael Buecker [aut, cre]
Maintainer: Michael Buecker <michael.buecker@fh-muenster.de>

Diff between bunddev versions 0.1.0 dated 2026-02-08 and 0.2.0 dated 2026-02-13

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Package bayou readmission to version 2.3.2 with previous version 2.3.1 dated 2025-06-10

Title: Bayesian Fitting of Ornstein-Uhlenbeck Models to Phylogenies
Description: Fits and simulates multi-optima Ornstein-Uhlenbeck models to phylogenetic comparative data using Bayesian reversible-jump methods. See Uyeda and Harmon (2014) <DOI:10.1093/sysbio/syu057>.
Author: Josef C. Uyeda [aut, cre] , Jon Eastman [ctb], Luke Harmon [ctb] , Abhishek Hari [ctb]
Maintainer: Josef C. Uyeda <juyeda@vt.edu>

This is a re-admission after prior archival of version 2.3.1 dated 2025-06-10

Diff between bayou versions 2.3.1 dated 2025-06-10 and 2.3.2 dated 2026-02-13

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New package tidyILD with initial version 0.0.1
Package: tidyILD
Title: Tidy Intensive Longitudinal Data Analysis
Version: 0.0.1
Description: An opinionated, tidyverse-native toolkit for intensive longitudinal data (ILD). Encodes time structure, enforces within-between decomposition, provides spacing-aware lags, and integrates diagnostics and visualization. Use ild_prepare(), ild_center(), ild_lag(), and related functions for a unified pipeline from raw EMA/diary data to interpretable models.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: tibble, dplyr, lubridate, rlang, lme4, nlme, ggplot2
Suggests: testthat (>= 3.0.0), roxygen2, knitr, broom.mixed
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-02-11 19:46:04 UTC; alexanderlitovchenko
Author: Alex Litovchenko [aut, cre]
Maintainer: Alex Litovchenko <al4877@columbia.edu>
Repository: CRAN
Date/Publication: 2026-02-13 16:40:02 UTC

More information about tidyILD at CRAN
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Package sdafilter readmission to version 1.0.1 with previous version 1.0.0 dated 2020-03-19

Title: Symmetrized Data Aggregation
Description: We develop a new class of distribution free multiple testing rules for false discovery rate (FDR) control under general dependence. A key element in our proposal is a symmetrized data aggregation (SDA) approach to incorporating the dependence structure via sample splitting, data screening and information pooling. The proposed SDA filter first constructs a sequence of ranking statistics that fulfill global symmetry properties, and then chooses a data driven threshold along the ranking to control the FDR. For more information, see the website below and the accompanying paper: Du et al. (2023), "False Discovery Rate Control Under General Dependence By Symmetrized Data Aggregation", <doi:10.1080/01621459.2021.1945459>. Some optional functionality uses the archived R packages ‘huge’ and ‘pfa’, which are not available from CRAN’s main repositories. Users who need this optional functionality can obtain them from the CRAN Archive as follows: ‘huge’ at <https://cran.r-project.org/src/c [...truncated...]
Author: Lilun Du [aut, cre], Xu Guo [aut], Wenguang Sun [aut], Changliang Zou [aut]
Maintainer: Lilun Du <lilundu@cityu.edu.hk>

This is a re-admission after prior archival of version 1.0.0 dated 2020-03-19

Diff between sdafilter versions 1.0.0 dated 2020-03-19 and 1.0.1 dated 2026-02-13

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New package scholid with initial version 0.1.0
Package: scholid
Title: Tools for Scholarly and Academic Identifiers
Version: 0.1.0
Language: en-US
Description: Tools for detecting, normalizing, classifying, and extracting scholarly identifier strings. The package provides lightweight, dependency-free helpers for common identifier systems such as DOIs, ORCID iDs, ISBNs, ISSNs, arXiv identifiers, and PubMed identifiers. Functions are designed to be vectorized, predictable, and suitable as low-level building blocks for other R packages and data workflows.
License: MIT + file LICENSE
URL: https://thomas-rauter.github.io/scholid/
BugReports: https://github.com/Thomas-Rauter/scholid/issues
Depends: R (>= 3.5.0)
Suggests: testthat (>= 3.0.0), knitr (>= 1.30), rmarkdown
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-02-11 12:22:02 UTC; thomas
Author: Thomas Rauter [aut, cre, fnd]
Maintainer: Thomas Rauter <rauterthomas0@gmail.com>
Repository: CRAN
Date/Publication: 2026-02-13 16:20:02 UTC

More information about scholid at CRAN
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Package rtrim updated to version 2.3.1 with previous version 2.3.0 dated 2024-06-21

Title: Trends and Indices for Monitoring Data
Description: The TRIM model is widely used for estimating growth and decline of animal populations based on (possibly sparsely available) count data. The current package is a reimplementation of the original TRIM software developed at Statistics Netherlands by Jeroen Pannekoek. See <https://www.cbs.nl/en-gb/society/nature-and-environment/indices-and-trends%2d%2dtrim%2d%2d> for more information about TRIM.
Author: Patrick Bogaart [aut, cre] , Mark van der Loo [aut], Jeroen Pannekoek [aut], Statistics Netherlands [cph]
Maintainer: Patrick Bogaart <rtrim@cbs.nl>

Diff between rtrim versions 2.3.0 dated 2024-06-21 and 2.3.1 dated 2026-02-13

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New package RegimeChange with initial version 0.1.1
Package: RegimeChange
Title: Comprehensive Regime Change Detection in Time Series
Version: 0.1.1
Description: A unified framework for detecting regime changes (changepoints) in time series data. Implements both frequentist methods including Cumulative Sum (CUSUM, Page (1954) <doi:10.1093/biomet/41.1-2.100>), Pruned Exact Linear Time (PELT, Killick, Fearnhead, and Eckley (2012) <doi:10.1080/01621459.2012.737745>), Binary Segmentation, and Wild Binary Segmentation, as well as Bayesian methods such as Bayesian Online Changepoint Detection (BOCPD, Adams and MacKay (2007) <doi:10.48550/arXiv.0710.3742> and Shiryaev-Roberts. Supports offline analysis for retrospective detection and online monitoring for real-time surveillance. Provides rigorous uncertainty quantification through confidence intervals and posterior distributions. Handles univariate and multivariate series with detection of changes in mean, variance, trend, and distributional properties.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: stats, ggplot2 (>= 3.4.0), rlang (>= 1.1.0), cli (>= 3.6.0), magrittr
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, plotly, patchwork, covr, JuliaCall (>= 0.17.0), keras (>= 2.9.0), tensorflow (>= 2.9.0), reticulate (>= 1.26)
VignetteBuilder: knitr
URL: https://github.com/IsadoreNabi/RegimeChange
BugReports: https://github.com/IsadoreNabi/RegimeChange/issues
LazyData: true
SystemRequirements: Julia (>= 1.6) for optional high-performance backend, Python (>= 3.8) with TensorFlow for deep learning methods
NeedsCompilation: no
Packaged: 2026-02-11 19:07:44 UTC; ROG
Author: Jose Mauricio Gomez Julian [aut, cre]
Maintainer: Jose Mauricio Gomez Julian <isadorenabi@pm.me>
Repository: CRAN
Date/Publication: 2026-02-13 16:34:59 UTC

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New package rareflow with initial version 0.1.0
Package: rareflow
Title: Variational Flow-Based Inference for Rare Events and Large Deviations
Version: 0.1.0
Description: Variational flow-based methods for modeling rare events using Kullback–Leibler (KL) divergence, normalizing flows, Girsanov change of measure, and Freidlin–Wentzell action functionals. The package provides tools for rare-event inference, minimum-action paths, and quasi-potential computation in stochastic dynamical systems. Methods are based on Rezende and Mohamed (2015) <doi:10.48550/arXiv.1505.05770>, Girsanov (1960) <doi:10.1137/1105027>, and Freidlin and Wentzell (2012, ISBN:978-0387955477).
License: GPL (>= 3)
Encoding: UTF-8
VignetteBuilder: knitr
Suggests: knitr, rmarkdown, ggplot2, gganimate, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-02-11 21:38:50 UTC; Pietro
Author: Pietro Piu [aut, cre]
Maintainer: Pietro Piu <pietro.piu.si@gmail.com>
Repository: CRAN
Date/Publication: 2026-02-13 16:40:08 UTC

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New package MFF with initial version 0.1.0
Package: MFF
Title: Meta Fuzzy Functions
Version: 0.1.0
Description: Implements Meta Fuzzy Functions (MFFs) for regression Tak and Ucan (2026) <doi:10.1016/j.asoc.2026.114592> by aggregating predictions from multiple base learners using membership weights learned in the prediction space of validation set. The package supports fuzzy and crisp meta-ensemble structures via Fuzzy C-Means (FCM) Tak (2018) <doi:10.1016/j.asoc.2018.08.009>, Possibilistic FCM (PFCM) Tak (2021) <doi:10.1016/j.ins.2021.01.024>, and k-means, and provides a workflow to (i) generate validation/test prediction matrices from common regression learners (linear and penalized regression via 'glmnet', random forests, gradient boosting with 'xgboost' and 'lightgbm'), (ii) fit cluster-wise meta fuzzy functions and compute membership-based weights, (iii) tune clustering-related hyperparameters (number of clusters/functions, fuzziness exponent, possibilistic regularization) via grid search on validation loss, and (iv) predict on new/test prediction matrices and evaluate perf [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
Imports: glmnet, randomForest, xgboost, lightgbm, e1071, ppclust
Suggests: knitr, rmarkdown, MASS
NeedsCompilation: no
Packaged: 2026-02-11 11:49:02 UTC; sadik
Author: Nihat Tak [aut, cre], Sadik Coban [aut]
Maintainer: Nihat Tak <nihattak@gmail.com>
Repository: CRAN
Date/Publication: 2026-02-13 16:20:29 UTC

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Package keras3 updated to version 1.5.1 with previous version 1.5.0 dated 2025-12-22

Title: R Interface to 'Keras'
Description: Interface to 'Keras' <https://keras.io>, a high-level neural networks API. 'Keras' was developed with a focus on enabling fast experimentation, supports both convolution based networks and recurrent networks (as well as combinations of the two), and runs seamlessly on both CPU and GPU devices.
Author: Tomasz Kalinowski [aut, cph, cre], Daniel Falbel [ctb, cph], JJ Allaire [aut, cph], Francois Chollet [aut, cph], Posit Software, PBC [cph, fnd], Google [cph, fnd], Yuan Tang [ctb, cph] , Wouter Van Der Bijl [ctb, cph], Martin Studer [ctb, cph], Sigri [...truncated...]
Maintainer: Tomasz Kalinowski <tomasz@posit.co>

Diff between keras3 versions 1.5.0 dated 2025-12-22 and 1.5.1 dated 2026-02-13

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Package httr updated to version 1.4.8 with previous version 1.4.7 dated 2023-08-15

Title: Tools for Working with URLs and HTTP
Description: Useful tools for working with HTTP organised by HTTP verbs (GET(), POST(), etc). Configuration functions make it easy to control additional request components (authenticate(), add_headers() and so on).
Author: Hadley Wickham [aut, cre], Posit Software, PBC [cph, fnd]
Maintainer: Hadley Wickham <hadley@posit.co>

Diff between httr versions 1.4.7 dated 2023-08-15 and 1.4.8 dated 2026-02-13

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New package cepiweek with initial version 0.1.1
Package: cepiweek
Title: Continuous Epidemiological Week Indexing for Time-Series Analysis
Version: 0.1.1
Description: Provides a simple algorithm to generate a continuous epidemiological week index from date variables in a dataframe. Weeks are computed as sequential 7-day intervals starting from the earliest observed date. They do not reset at calendar year boundaries and are not ISO 8601 nor MMWR calendar weeks. The approach is intended for epidemiological modeling and time-series analysis where temporal continuity is required. The generated weeks are sequential and do not reset at calendar year boundaries.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: lubridate
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-02-11 08:56:18 UTC; Daniel_Degina_MY
Author: Daniel Degina [aut, cre, cph]
Maintainer: Daniel Degina <deginadan@gmail.com>
Repository: CRAN
Date/Publication: 2026-02-13 16:20:23 UTC

More information about cepiweek at CRAN
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Package CCMnet readmission to version 0.1.4 with previous version 0.0-3 dated 2015-12-10

Title: Congruence Class Models for Networks
Description: Provides an implementation of Congruence Class Models for generating networks. It facilitates sampling networks based on specific topological properties and attribute mixing patterns using a Markov Chain Monte Carlo framework. The implementation builds upon code from the 'ergm' package; see Handcock et al. (2008) <doi:10.18637/jss.v024.i01>.
Author: Ravi Goyal [aut, cre], Statnet Development Team [ctb, cph]
Maintainer: Ravi Goyal <ravi.j.goyal@gmail.com>

This is a re-admission after prior archival of version 0.0-3 dated 2015-12-10

Diff between CCMnet versions 0.0-3 dated 2015-12-10 and 0.1.4 dated 2026-02-13

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Package measureR updated to version 0.0.2 with previous version 0.0.1 dated 2026-02-10

Title: Tools for Educational and Psychological Measurement
Description: 'Provides an interactive toolkit for educational and psychological measurement implemented using the 'shiny' framework. The package supports content validity analysis, dimensionality assessment, and Classical Test Theory using the 'CTT' package (Willse, 2018) <doi:10.32614/CRAN.package.CTT>.Item Response Theory (IRT) analyses are conducted via 'mirt' (Chalmers, 2012) <doi:10.18637/jss.v048.i06>. Exploratory Factor Analysis is performed using 'psych' (Revelle, 2025), while Confirmatory Factor Analysis and Structural Equation Modeling are based on the 'lavaan' framework (Rosseel, 2012) <doi:10.18637/jss.v048.i02>. The application allows users to upload data, evaluate statistical models, visualize results, and export outputs through an intuitive graphical interface without requiring programming experience.
Author: Hasan Djidu [aut, cre]
Maintainer: Hasan Djidu <hasandjidu@gmail.com>

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Package reticulate updated to version 1.45.0 with previous version 1.44.1 dated 2025-11-14

Title: Interface to 'Python'
Description: Interface to 'Python' modules, classes, and functions. When calling into 'Python', R data types are automatically converted to their equivalent 'Python' types. When values are returned from 'Python' to R they are converted back to R types. Compatible with all versions of 'Python' >= 2.7.
Author: Tomasz Kalinowski [ctb, cre], Kevin Ushey [aut], JJ Allaire [aut], RStudio [cph, fnd], Yuan Tang [aut, cph] , Dirk Eddelbuettel [ctb, cph], Bryan Lewis [ctb, cph], Sigrid Keydana [ctb], Ryan Hafen [ctb, cph], Marcus Geelnard [ctb, cph]
Maintainer: Tomasz Kalinowski <tomasz@posit.co>

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Package spdep updated to version 1.4-2 with previous version 1.4-1 dated 2025-08-31

Title: Spatial Dependence: Weighting Schemes, Statistics
Description: A collection of functions to create spatial weights matrix objects from polygon 'contiguities', from point patterns by distance and tessellations, for summarizing these objects, and for permitting their use in spatial data analysis, including regional aggregation by minimum spanning tree; a collection of tests for spatial 'autocorrelation', including global 'Morans I' and 'Gearys C' proposed by 'Cliff' and 'Ord' (1973, ISBN: 0850860369) and (1981, ISBN: 0850860814), 'Hubert/Mantel' general cross product statistic, Empirical Bayes estimates and 'Assunção/Reis' (1999) <doi:10.1002/(SICI)1097-0258(19990830)18:16%3C2147::AID-SIM179%3E3.0.CO;2-I> Index, 'Getis/Ord' G ('Getis' and 'Ord' 1992) <doi:10.1111/j.1538-4632.1992.tb00261.x> and multicoloured join count statistics, 'APLE' ('Li et al.' ) <doi:10.1111/j.1538-4632.2007.00708.x>, local 'Moran's I', 'Gearys C' ('Anselin' 1995) <doi:10.1111/j.1538-4632.1995.tb00338.x> and 'Getis/Ord' G ('Ord' and 'Getis' 1995) <d [...truncated...]
Author: Roger Bivand [cre, aut] , Micah Altman [ctb], Luc Anselin [ctb], Renato Assuncao [ctb], Anil Bera [ctb], Olaf Berke [ctb], F. Guillaume Blanchet [ctb], Marilia Carvalho [ctb], Bjarke Christensen [ctb], Yongwan Chun [ctb], Carsten Dormann [ctb], Steph [...truncated...]
Maintainer: Roger Bivand <Roger.Bivand@nhh.no>

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Package latrend readmission to version 1.6.3 with previous version 1.6.2 dated 2025-07-04

Title: A Framework for Clustering Longitudinal Data
Description: A framework for clustering longitudinal datasets in a standardized way. The package provides an interface to existing R packages for clustering longitudinal univariate trajectories, facilitating reproducible and transparent analyses. Additionally, standard tools are provided to support cluster analyses, including repeated estimation, model validation, and model assessment. The interface enables users to compare results between methods, and to implement and evaluate new methods with ease. The 'akmedoids' package is available from <https://github.com/MAnalytics/akmedoids>.
Author: Niek Den Teuling [aut, cre] , Steffen Pauws [ctb], Edwin van den Heuvel [ctb], Koninklijke Philips N.V. [cph]
Maintainer: Niek Den Teuling <niek.den.teuling@philips.com>

This is a re-admission after prior archival of version 1.6.2 dated 2025-07-04

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Package stars updated to version 0.7-1 with previous version 0.7-0 dated 2025-12-14

Title: Spatiotemporal Arrays, Raster and Vector Data Cubes
Description: Reading, manipulating, writing and plotting spatiotemporal arrays (raster and vector data cubes) in 'R', using 'GDAL' bindings provided by 'sf', and 'NetCDF' bindings by 'ncmeta' and 'RNetCDF'.
Author: Edzer Pebesma [aut, cre] , Michael Sumner [ctb] , Etienne Racine [ctb], Adriano Fantini [ctb], David Blodgett [ctb], Krzysztof Dyba [ctb]
Maintainer: Edzer Pebesma <edzer.pebesma@uni-muenster.de>

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Package modelsummary updated to version 2.6.0 with previous version 2.5.0 dated 2025-08-25

Title: Summary Tables and Plots for Statistical Models and Data: Beautiful, Customizable, and Publication-Ready
Description: Create beautiful and customizable tables to summarize several statistical models side-by-side. Draw coefficient plots, multi-level cross-tabs, dataset summaries, balance tables (a.k.a. "Table 1s"), and correlation matrices. This package supports dozens of statistical models, and it can produce tables in HTML, LaTeX, Word, Markdown, PDF, PowerPoint, Excel, RTF, JPG, or PNG. Tables can easily be embedded in 'Rmarkdown' or 'knitr' dynamic documents. Details can be found in Arel-Bundock (2022) <doi:10.18637/jss.v103.i01>.
Author: Vincent Arel-Bundock [aut, cre] , Joachim Gassen [ctb] , Nathan Eastwood [ctb], Nick Huntington-Klein [ctb] , Moritz Schwarz [ctb] , Benjamin Elbers [ctb] , Grant McDermott [ctb] , Lukas Wallrich [ctb]
Maintainer: Vincent Arel-Bundock <vincent.arel-bundock@umontreal.ca>

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Package eVCGsampler updated to version 0.9.5 with previous version 0.9.2 dated 2025-12-19

Title: VCG Sampling using Energy-Based Covariate Balancing
Description: Provides a principled framework for sampling Virtual Control Group (VCG) using energy distance-based covariate balancing. The package offers visualization tools to assess covariate balance and includes a permutation test to evaluate the statistical significance of observed deviations.
Author: Andreas Schulz [aut, cre] , Sanofi [cph, fnd]
Maintainer: Andreas Schulz <andreas.schulz2@sanofi.com>

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Package assertions updated to version 0.3.0 with previous version 0.2.0 dated 2024-11-19

Title: Simple Assertions for Beautiful and Customisable Error Messages
Description: Provides simple assertions with sensible defaults and customisable error messages. It offers convenient assertion call wrappers and a general assert function that can handle any condition. Default error messages are user friendly and easily customized with inline code evaluation and styling powered by the 'cli' package.
Author: Sam El-Kamand [aut, cre, cph]
Maintainer: Sam El-Kamand <sam.elkamand@gmail.com>

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Package lpSolveAPI updated to version 5.5.2.0-17.15 with previous version 5.5.2.0-17.14 dated 2025-04-14

Title: R Interface to 'lp_solve' Version 5.5.2.0
Description: The lpSolveAPI package provides an R interface to 'lp_solve', a Mixed Integer Linear Programming (MILP) solver with support for pure linear, (mixed) integer/binary, semi-continuous and special ordered sets (SOS) models.
Author: lp_solve [aut], Kjell Konis [aut], Florian Schwendinger [aut, cre], Kurt Hornik [ctb]
Maintainer: Florian Schwendinger <FlorianSchwendinger@gmx.at>

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Package TreeDist updated to version 2.12.0 with previous version 2.11.1 dated 2025-10-13

Title: Calculate and Map Distances Between Phylogenetic Trees
Description: Implements measures of tree similarity, including information-based generalized Robinson-Foulds distances (Phylogenetic Information Distance, Clustering Information Distance, Matching Split Information Distance; Smith 2020) <doi:10.1093/bioinformatics/btaa614>; Jaccard-Robinson-Foulds distances (Bocker et al. 2013) <doi:10.1007/978-3-642-40453-5_13>, including the Nye et al. (2006) metric <doi:10.1093/bioinformatics/bti720>; the Matching Split Distance (Bogdanowicz & Giaro 2012) <doi:10.1109/TCBB.2011.48>; the Hierarchical Mutual Information (Perotti et al. 2015) <doi:10.1103/PhysRevE.92.062825>; Maximum Agreement Subtree distances; the Kendall-Colijn (2016) distance <doi:10.1093/molbev/msw124>, and the Nearest Neighbour Interchange (NNI) distance, approximated per Li et al. (1996) <doi:10.1007/3-540-61332-3_168>. Includes tools for visualizing mappings of tree space (Smith 2022) <doi:10.1093/sysbio/syab100>, for identifying islands o [...truncated...]
Author: Martin R. Smith [aut, cre, cph, prg] , Roy Jonker [prg, cph] , Yong Yang [ctb, cph] , Yi Cao [ctb, cph]
Maintainer: Martin R. Smith <martin.smith@durham.ac.uk>

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Package sp updated to version 2.2-1 with previous version 2.2-0 dated 2025-02-01

Title: Classes and Methods for Spatial Data
Description: Classes and methods for spatial data; the classes document where the spatial location information resides, for 2D or 3D data. Utility functions are provided, e.g. for plotting data as maps, spatial selection, as well as methods for retrieving coordinates, for subsetting, print, summary, etc. From this version, 'rgdal', 'maptools', and 'rgeos' are no longer used at all, see <https://r-spatial.org/r/2023/05/15/evolution4.html> for details.
Author: Edzer Pebesma [aut, cre], Roger Bivand [aut], Barry Rowlingson [ctb], Virgilio Gomez-Rubio [ctb], Robert Hijmans [ctb], Michael Sumner [ctb], Don MacQueen [ctb], Jim Lemon [ctb], Finn Lindgren [ctb], Josh O'Brien [ctb], Joseph O'Rourke [ctb], Patrick [...truncated...]
Maintainer: Edzer Pebesma <edzer.pebesma@uni-muenster.de>

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Package paran updated to version 1.5.5 with previous version 1.5.4 dated 2025-04-12

Title: Horn's Test of Principal Components/Factors
Description: An implementation of Horn's technique for numerically and graphically evaluating the components or factors retained in a principle components analysis (PCA) or common factor analysis (FA). Horn's method contrasts eigenvalues produced through a PCA or FA on a number of random data sets of uncorrelated variables with the same number of variables and observations as the experimental or observational data set to produce eigenvalues for components or factors that are adjusted for the sample error-induced inflation. Components with adjusted eigenvalues greater than one are retained. paran may also be used to conduct parallel analysis following Glorfeld's (1995) suggestions to reduce the likelihood of over-retention.
Author: Alexis Dinno [aut, cre, cph]
Maintainer: Alexis Dinno <alexis.dinno@pdx.edu>

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Package fastQR readmission to version 1.1.4 with previous version 1.0.0 dated 2025-02-04

Title: Fast QR Decomposition and Update
Description: Efficient algorithms for performing, updating, and removing rows or columns from the QR decomposition, R decomposition, or the inverse of the R decomposition of a matrix as rows or columns are added or removed. It also includes functions for solving linear systems of equations, normal equations for linear regression models, and normal equations for linear regression with a RIDGE penalty. For a detailed introduction to these methods, the monograph Matrix Computations (2013, <doi:10.1007/978-3-319-05089-8>) for complete introduction to the methods.
Author: Mauro Bernardi [aut, cre], Claudio Busatto [aut], Manuela Cattelan [aut]
Maintainer: Mauro Bernardi <mauro.bernardi@unipd.it>

This is a re-admission after prior archival of version 1.0.0 dated 2025-02-04

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Package DiscreteFDR updated to version 2.1.1 with previous version 2.1.0 dated 2024-12-14

Title: FDR Based Multiple Testing Procedures with Adaptation for Discrete Tests
Description: Implementations of the multiple testing procedures for discrete tests described in the paper Döhler, Durand and Roquain (2018) "New FDR bounds for discrete and heterogeneous tests" <doi:10.1214/18-EJS1441>. The main procedures of the paper (HSU and HSD), their adaptive counterparts (AHSU and AHSD), and the HBR variant are available and are coded to take as input the results of a test procedure from package 'DiscreteTests', or a set of observed p-values and their discrete support under their nulls. A shortcut function to obtain such p-values and supports is also provided, along with a wrapper allowing to apply discrete procedures directly to data.
Author: Sebastian Doehler [aut, ctb] , Florian Junge [aut, ctb, cre] , Guillermo Durand [aut, ctb] , Etienne Roquain [ctb], Christina Kihn [ctb]
Maintainer: Florian Junge <diso.fbmn@h-da.de>

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Package CBTF updated to version 0.6.0 with previous version 0.5.0 dated 2025-08-21

Title: Caught by the Fuzz! - A Minimalistic Fuzz-Test Runner
Description: A simple runner for fuzz-testing functions in an R package's public interface. Fuzz testing helps identify functions lacking sufficient argument validation, and uncovers problematic inputs that, while valid by function signature, may cause issues within the function body.
Author: Marco Colombo [aut, cre]
Maintainer: Marco Colombo <mar.colombo13@gmail.com>

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Package wikitaxa readmission to version 0.5.0 with previous version 0.4.0 dated 2020-06-29

Title: Taxonomic Information from 'Wikipedia'
Description: 'Taxonomic' information from 'Wikipedia', 'Wikicommons', 'Wikispecies', and 'Wikidata'. Functions included for getting taxonomic information from each of the sources just listed, as well performing taxonomic search.
Author: Scott Chamberlain [aut], Ethan Welty [aut], Grzegorz Sapijaszko [aut], Zachary Foster [aut, cre]
Maintainer: Zachary Foster <zacharyfoster1989@gmail.com>

This is a re-admission after prior archival of version 0.4.0 dated 2020-06-29

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Package UsingR updated to version 2.0-8 with previous version 2.0-7 dated 2022-01-11

Title: Data Sets, Etc. for the Text "Using R for Introductory Statistics", Second Edition
Description: A collection of data sets to accompany the textbook "Using R for Introductory Statistics," second edition.
Author: John Verzani [aut, cre]
Maintainer: John Verzani <verzani@math.csi.cuny.edu>

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Package tipitaka readmission to version 1.0.0 with previous version 0.1.2 dated 2021-03-30

Title: Data and Tools for Analyzing the Pali Canon
Description: Provides access to the complete Pali Canon, or Tipitaka, the canonical scripture for Theravadin Buddhists worldwide. Based on the Chattha Sangayana Tipitaka version 4 (Vipassana Research Institute, 1990). Includes word frequency data and tools for Pali string sorting. For a lemmatized critical edition with sutta-level granularity, see the companion package 'tipitaka.critical'.
Author: Dan Zigmond [aut, cre]
Maintainer: Dan Zigmond <djz@shmonk.com>

This is a re-admission after prior archival of version 0.1.2 dated 2021-03-30

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Package SeqFeatR updated to version 0.3.3 with previous version 0.3.1 dated 2019-04-12

Title: A Tool to Associate FASTA Sequences and Features
Description: Provides user friendly methods for the identification of sequence patterns that are statistically significantly associated with a property of the sequence. For instance, SeqFeatR allows to identify viral immune escape mutations for hosts of given HLA types. The underlying statistical method is Fisher's exact test, with appropriate corrections for multiple testing, or Bayes. Patterns may be point mutations or n-tuple of mutations. SeqFeatR offers several ways to visualize the results of the statistical analyses, see Budeus (2016) <doi:10.1371/journal.pone.0146409>.
Author: Bettina Budeus [aut, cre]
Maintainer: Bettina Budeus <bettina.budeus@stud.uni-due.de>

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Package qatarcars updated to version 1.1.0 with previous version 1.0.0 dated 2025-10-16

Title: Data on Cars in Qatar
Description: Fuel economy, size, performance, and price data for cars in Qatar in 2025. Mirrors many of the columns in mtcars, but uses (1) non-US-centric makes and models, (2) 2025 prices, and (3) metric measurements, making it more appropriate for use as an example dataset outside the United States. For more details see Musgrave (2025) <doi:10.1080/15512169.2025.2572320>.
Author: Paul Musgrave [aut, cre, cph] , Andrew Heiss [aut]
Maintainer: Paul Musgrave <rpm47@georgetown.edu>

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Package PUlasso readmission to version 3.2.6 with previous version 3.2.5 dated 2023-12-18

Title: High-Dimensional Variable Selection with Presence-Only Data
Description: Efficient algorithm for solving PU (Positive and Unlabeled) problem in low or high dimensional setting with lasso or group lasso penalty. The algorithm uses Maximization-Minorization and (block) coordinate descent. Sparse calculation and parallel computing are supported for the computational speed-up. See Hyebin Song, Garvesh Raskutti (2018) <doi:10.48550/arXiv.1711.08129>.
Author: Hyebin Song [aut, cre], Garvesh Raskutti [aut]
Maintainer: Hyebin Song <hps5320@psu.edu>

This is a re-admission after prior archival of version 3.2.5 dated 2023-12-18

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Package mau updated to version 0.4.0 with previous version 0.1.2 dated 2018-01-17

Title: Decision Models with Multi Attribute Utility Theory
Description: Provides functions for the creation, evaluation and test of decision models based in Multi Attribute Utility Theory (MAUT). Can process and evaluate local risk aversion utilities for a set of indexes, compute utilities and weights for the whole decision tree defining the decision model and simulate weights employing Dirichlet distributions under addition constraints in weights. Also includes other rating analysis methods as for example the Colley, Offensive - Defensive ratings and the ranking aggregation with Borda count.
Author: Felipe Aguirre [ctb], Julio Andrade [ctb], Pedro Guarderas [aut, cre], Daniel Lagos [ctb], Andres Lopez [ctb], Nelson Recalde [ctb], Edison Salazar [ctb]
Maintainer: Pedro Guarderas <pedro.felipe.guarderas@gmail.com>

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Package EcoCleanR updated to version 1.0.3 with previous version 1.0.2 dated 2026-02-11

Title: Enhancing Data Quality of Biogeographic Ranges with Application for Marine Invertebrates
Description: Provides step-by-step automation for integrating biodiversity data from multiple online aggregators, merging and cleaning datasets while addressing challenges such as taxonomic inconsistencies, georeferencing issues, and spatial or environmental outliers. Includes functions to extract environmental data and to define the biogeographic ranges in which species are most likely to occur. For methodological details see the associated publication.<doi: 10.1002/ecog.08203>.
Author: Priyanka Soni [aut, cre] , Austin Hendy [ctb] , David Bottjer [ctb] , Vijay Barve [ctb]
Maintainer: Priyanka Soni <sonip@usc.edu>

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Package adapt3 updated to version 2.0.7 with previous version 2.0.0 dated 2026-02-09

Title: Adaptive Dynamics and Community Matrix Model Projections
Description: Runs projections of groups of matrix projection models (MPMs), allowing density dependence mechanisms to work across MPMs. This package was developed to run both adaptive dynamics simulations such as pairwise and multiple invasibility analyses, and community projections in which species are represented by MPMs. All forms of MPMs are allowed, including integral projection models (IPMs).
Author: Richard P. Shefferson [aut, cre]
Maintainer: Richard P. Shefferson <cdorm@g.ecc.u-tokyo.ac.jp>

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Package vdiffr updated to version 1.0.9 with previous version 1.0.8 dated 2024-10-31

Title: Visual Regression Testing and Graphical Diffing
Description: An extension to the 'testthat' package that makes it easy to add graphical unit tests. It provides a Shiny application to manage the test cases.
Author: Lionel Henry [aut], Thomas Lin Pedersen [cre, aut] , Posit Software, PBC [cph, fnd], T Jake Luciani [aut] , Matthieu Decorde [aut] , Vaudor Lise [aut] , Tony Plate [ctb] , David Gohel [ctb] , Yixuan Qiu [ctb] , Hakon Malmedal [ctb]
Maintainer: Thomas Lin Pedersen <thomas.pedersen@posit.co>

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Package GDILM.SEIRS readmission to version 0.0.6 with previous version 0.0.5 dated 2025-11-02

Title: Spatial Modeling of Infectious Disease with Reinfection
Description: Geographically Dependent Individual Level Models (GDILMs) within the Susceptible-Exposed-Infectious-Recovered-Susceptible (SEIRS) framework are applied to model infectious disease transmission, incorporating reinfection dynamics. This package employs a likelihood based Monte Carlo Expectation Conditional Maximization (MCECM) algorithm for estimating model parameters. It also provides tools for GDILM fitting, parameter estimation, AIC calculation on real pandemic data, and simulation studies customized to user-defined model settings.
Author: Amin Abed [aut, cre, cph] , Mahmoud Torabi [ths], Zeinab Mashreghi [ths]
Maintainer: Amin Abed <abeda@myumanitoba.ca>

This is a re-admission after prior archival of version 0.0.5 dated 2025-11-02

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Package sshist updated to version 0.1.2 with previous version 0.1.1 dated 2026-02-12

Title: Optimal Histogram Binning Using Shimazaki-Shinomoto Method
Description: Implements the Shimazaki-Shinomoto method for optimizing the bin width of a histogram. This method minimizes the mean integrated squared error (MISE) and features a 'C++' backend for high performance and shift-averaging to remove edge-position bias. Ideally suits for time-dependent rate estimation and identifying intrinsic data structures. Supports both 1D and 2D data distributions. For more details see Shimazaki and Shinomoto (2007) "A Method for Selecting the Bin Size of a Time Histogram" <doi:10.1162/neco.2007.19.6.1503>.
Author: Daniil Popov [aut, cre]
Maintainer: Daniil Popov <popov.daniil@gmail.com>

Diff between sshist versions 0.1.1 dated 2026-02-12 and 0.1.2 dated 2026-02-13

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New package PTSDdiag with initial version 0.1.0
Package: PTSDdiag
Title: Optimize PTSD Diagnostic Criteria
Version: 0.1.0
Description: Provides tools for analyzing and optimizing PTSD (Post-Traumatic Stress Disorder) diagnostic criteria using PCL-5 (PTSD Checklist for DSM-5) data. Functions identify optimal subsets of PCL-5 items that maintain diagnostic accuracy while reducing assessment burden. Includes tools for both hierarchical (cluster-based) and non-hierarchical symptom combinations, calculation of diagnostic metrics, and comparison with standard DSM-5 criteria. Model validation is conducted using holdout and cross-validation methods to assess robustness and generalizability of the results. For more details see Weidmann et al. (2025) <doi:10.31219/osf.io/6rk72_v1>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: dplyr, magrittr, rlang, stats, utils, modelr
Depends: R (>= 3.5.0)
Suggests: DT, knitr, lattice, psych, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://github.com/WeidmannL/PTSDdiag
BugReports: https://github.com/WeidmannL/PTSDdiag/issues
NeedsCompilation: no
Packaged: 2026-02-10 23:39:48 UTC; trs
Author: Laura Weidmann [aut] , Tobias R. Spiller [aut, cre] , Flavio A. Schueepp [aut]
Maintainer: Tobias R. Spiller <tobias.spiller@access.uzh.ch>
Repository: CRAN
Date/Publication: 2026-02-13 07:50:02 UTC

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Package plsVarSel updated to version 0.10.0 with previous version 0.9.13 dated 2025-04-09

Title: Variable Selection in Partial Least Squares
Description: Interfaces and methods for variable selection in Partial Least Squares. The methods include filter methods, wrapper methods and embedded methods. Both regression and classification is supported.
Author: Kristian Hovde Liland [aut, cre] , Tahir Mehmood [ctb], Solve Saeboe [ctb]
Maintainer: Kristian Hovde Liland <kristian.liland@nmbu.no>

Diff between plsVarSel versions 0.9.13 dated 2025-04-09 and 0.10.0 dated 2026-02-13

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Package ordinalNet updated to version 2.14 with previous version 2.13 dated 2025-05-15

Title: Penalized Ordinal Regression
Description: Fits ordinal regression models with elastic net penalty. Supported model families include cumulative probability, stopping ratio, continuation ratio, and adjacent category. These families are a subset of vector glm's which belong to a model class we call the elementwise link multinomial-ordinal (ELMO) class. Each family in this class links a vector of covariates to a vector of class probabilities. Each of these families has a parallel form, which is appropriate for ordinal response data, as well as a nonparallel form that is appropriate for an unordered categorical response, or as a more flexible model for ordinal data. The parallel model has a single set of coefficients, whereas the nonparallel model has a set of coefficients for each response category except the baseline category. It is also possible to fit a model with both parallel and nonparallel terms, which we call the semi-parallel model. The semi-parallel model has the flexibility of the nonparallel model, but the elastic net [...truncated...]
Author: Michael Wurm [aut, cre], Paul Rathouz [aut], Bret Hanlon [aut]
Maintainer: Michael Wurm <wurm@uwalumni.com>

Diff between ordinalNet versions 2.13 dated 2025-05-15 and 2.14 dated 2026-02-13

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Package nimble updated to version 1.4.1 with previous version 1.4.0 dated 2025-12-13

Title: MCMC, Particle Filtering, and Programmable Hierarchical Modeling
Description: A system for writing hierarchical statistical models largely compatible with 'BUGS' and 'JAGS', writing nimbleFunctions to operate models and do basic R-style math, and compiling both models and nimbleFunctions via custom-generated C++. 'NIMBLE' includes default methods for MCMC, Laplace Approximation, deterministic nested approximations, Monte Carlo Expectation Maximization, and some other tools. The nimbleFunction system makes it easy to do things like implement new MCMC samplers from R, customize the assignment of samplers to different parts of a model from R, and compile the new samplers automatically via C++ alongside the samplers 'NIMBLE' provides. 'NIMBLE' extends the 'BUGS'/'JAGS' language by making it extensible: New distributions and functions can be added, including as calls to external compiled code. Although most people think of MCMC as the main goal of the 'BUGS'/'JAGS' language for writing models, one can use 'NIMBLE' for writing arbitrary other kinds of model-generic al [...truncated...]
Author: Perry de Valpine [aut], Christopher Paciorek [aut, cre], Daniel Turek [aut], Nick Michaud [aut], Cliff Anderson-Bergman [aut], Fritz Obermeyer [aut], Claudia Wehrhahn Cortes [aut] , Abel Rodriguez [aut] , Duncan Temple Lang [aut] , Wei Zhang [aut] , [...truncated...]
Maintainer: Christopher Paciorek <paciorek@stat.berkeley.edu>

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Package mirai updated to version 2.6.0 with previous version 2.5.3 dated 2025-12-01

Title: Minimalist Async Evaluation Framework for R
Description: Evaluates R expressions asynchronously and in parallel, locally or distributed across networks. An official parallel cluster type for R. Built on 'nanonext' and 'NNG', its non-polling, event-driven architecture scales from a laptop to thousands of processes across high-performance computing clusters and cloud platforms. Features FIFO scheduling with task cancellation, promises for reactive programming, 'OpenTelemetry' distributed tracing, and custom serialization for cross-language data types.
Author: Charlie Gao [aut, cre] , Joe Cheng [ctb], Posit Software, PBC [cph, fnd] , Hibiki AI Limited [cph]
Maintainer: Charlie Gao <charlie.gao@posit.co>

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New package mhpfilter with initial version 0.1.0
Package: mhpfilter
Title: Modified Hodrick-Prescott Filter with Optimal Smoothing Parameter Selection
Version: 0.1.0
Maintainer: Muhammad Yaseen <myaseen208@gmail.com>
Description: High-performance implementation of the Modified Hodrick-Prescott (HP) Filter for decomposing macroeconomic time series into trend and cyclical components. Based on the methodology of Choudhary, Hanif and Iqbal (2014) <doi:10.1080/00036846.2014.894631> "On smoothing macroeconomic time series using the modified HP filter", which uses generalized cross-validation (GCV) to automatically select the optimal smoothing parameter lambda, following McDermott (1997) "An automatic method for choosing the smoothing parameter in the HP filter" (as described in Coe and McDermott (1997) <doi:10.2307/3867497>). Unlike the standard HP filter that uses fixed lambda values (1600 for quarterly, 100 for annual data), this package estimates series-specific lambda values that minimize the GCV criterion. Implements efficient C++ routines via 'RcppArmadillo' for fast computation, supports batch processing of multiple series, and provides comprehensive visualization tools using 'ggplot2'. Particularl [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://myaseen208.com/mhpfilter/
BugReports: https://github.com/myaseen208/mhpfilter/issues
Depends: R (>= 4.0.0)
Imports: Rcpp (>= 1.0.0), RcppArmadillo (>= 0.12.0.0.0), data.table (>= 1.14.0), collapse (>= 2.0.0), ggplot2 (>= 3.4.0)
LinkingTo: Rcpp, RcppArmadillo
Suggests: knitr (>= 1.40), rmarkdown (>= 2.20), testthat (>= 3.0.0), tidyverse (>= 2.0.0), fastverse (>= 0.3.0)
VignetteBuilder: knitr
NeedsCompilation: yes
Language: en-US
Packaged: 2026-02-10 21:18:50 UTC; myaseen208
Author: Muhammad Yaseen [aut, cre] , Javed Iqbal [ctb] , M. Nadim Hanif [ctb]
Repository: CRAN
Date/Publication: 2026-02-13 07:40:08 UTC

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Package influential updated to version 2.3.0 with previous version 2.2.9 dated 2023-12-09

Title: Identification and Classification of the Most Influential Nodes
Description: Provides functions for classification and ranking of candidate features, reconstruction of networks from adjacency matrices and data frames, topological analysis, and calculation of centrality measures. The package includes the SIRIR model, which combines leave-one-out cross-validation with the conventional SIR model to rank vertex influence in an unsupervised manner. Additional functions support assessment of dependence and correlation between network centrality measures, as well as estimation of conditional probabilities of deviation from their corresponding means in opposite directions.
Author: Adrian Salavaty [aut, cre] , Mirana Ramialison [ths], Peter D. Currie [ths]
Maintainer: Adrian Salavaty <abbas.salavaty@gmail.com>

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Package glyrepr updated to version 0.10.1 with previous version 0.10.0 dated 2026-01-24

Title: Representation for Glycan Compositions and Structures
Description: Computational representations of glycan compositions and structures, including details such as linkages, anomers, and substituents. Supports varying levels of monosaccharide specificity (e.g., "Hex" or "Gal") and ambiguous linkages. Provides robust parsing and generation of IUPAC-condensed structure strings. Optimized for vectorized operations on glycan structures, with efficient handling of duplications. As the cornerstone of the glycoverse ecosystem, this package delivers the foundational data structures that power glycomics and glycoproteomics analysis workflows.
Author: Bin Fu [aut, cre, cph]
Maintainer: Bin Fu <23110220018@m.fudan.edu.cn>

Diff between glyrepr versions 0.10.0 dated 2026-01-24 and 0.10.1 dated 2026-02-13

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Package flextable updated to version 0.9.11 with previous version 0.9.10 dated 2025-08-24

Title: Functions for Tabular Reporting
Description: Use a grammar for creating and customizing pretty tables. The following formats are supported: 'HTML', 'PDF', 'RTF', 'Microsoft Word', 'Microsoft PowerPoint', R 'Grid Graphics' and 'patchwork'. 'R Markdown', 'Quarto' and the package 'officer' can be used to produce the result files. The syntax is the same for the user regardless of the type of output to be produced. A set of functions allows the creation, definition of cell arrangement, addition of headers or footers, formatting and definition of cell content with text and or images. The package also offers a set of high-level functions that allow tabular reporting of statistical models and the creation of complex cross tabulations.
Author: David Gohel [aut, cre], ArData [cph], Clementine Jager [ctb], Eli Daniels [ctb], Panagiotis Skintzos [aut], Quentin Fazilleau [ctb], Maxim Nazarov [ctb], Titouan Robert [ctb], Michael Barrowman [ctb], Atsushi Yasumoto [ctb], Paul Julian [ctb], Sean B [...truncated...]
Maintainer: David Gohel <david.gohel@ardata.fr>

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More information about flextable at CRAN
Permanent link

Package fillpattern updated to version 1.0.3 with previous version 1.0.2 dated 2024-06-24

Title: Patterned Fills for 'ggplot2' and 'grid' Graphics
Description: Provides geometric patterns to replace solid color fills in statistical graphics. These patterns ensure figures remain distinguishable when viewed by colorblind readers or when printed in black and white. The included patterns can be customized in terms of scale, rotation, color, fill, line type, and line width. Compatible with the 'ggplot2' package as well as 'grid' graphics.
Author: Daniel P. Smith [aut, cre] , Alkek Center for Metagenomics and Microbiome Research [cph, fnd]
Maintainer: Daniel P. Smith <dansmith01@gmail.com>

Diff between fillpattern versions 1.0.2 dated 2024-06-24 and 1.0.3 dated 2026-02-13

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More information about fillpattern at CRAN
Permanent link

Package dunn.test updated to version 1.3.7 with previous version 1.3.6 dated 2024-04-12

Title: Dunn's Test of Multiple Comparisons Using Rank Sums
Description: Computes Dunn's test (1964) for stochastic dominance and reports the results among multiple pairwise comparisons after a Kruskal-Wallis test for 0th-order stochastic dominance among k groups (Kruskal and Wallis, 1952). 'dunn.test' makes k(k-1)/2 multiple pairwise comparisons based on Dunn's z-test-statistic approximations to the actual rank statistics. The null hypothesis for each pairwise comparison is that the probability of observing a randomly selected value from the first group that is larger than a randomly selected value from the second group equals one half; this null hypothesis corresponds to that of the Wilcoxon-Mann-Whitney rank-sum test. Like the rank-sum test, if the data can be assumed to be continuous, and the distributions are assumed identical except for a difference in location, Dunn's test may be understood as a test for median difference and for mean difference. 'dunn.test' accounts for tied ranks.
Author: Alexis Dinno [aut, cre, cph]
Maintainer: Alexis Dinno <alexis.dinno@pdx.edu>

Diff between dunn.test versions 1.3.6 dated 2024-04-12 and 1.3.7 dated 2026-02-13

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More information about dunn.test at CRAN
Permanent link

Package defm readmission to version 0.2.1.0 with previous version 0.1-1 dated 2023-09-07

Title: Estimation and Simulation of Multi-Binary Response Models
Description: Multi-binary response models are a class of models that allow for the estimation of multiple binary outcomes simultaneously. This package provides functions to estimate and simulate these models using the Discrete Exponential-Family Models [DEFM] framework. In it, we implement the models described in Vega Yon, Valente, and Pugh (2023) <doi:10.48550/arXiv.2211.00627>. DEFMs include Exponential-Family Random Graph Models [ERGMs], which characterize graphs using sufficient statistics, which is also the core of DEFMs. Using sufficient statistics, we can describe the data through meaningful motifs, for example, transitions between different states, joint distribution of the outcomes, etc.
Author: George Vega Yon [aut, cre] , Department of Veterans Affairs - Rehabilitation, Research, and Development Service [fnd] , U.S. Army Medical Research Acquisition Activity [fnd]
Maintainer: George Vega Yon <g.vegayon@gmail.com>

This is a re-admission after prior archival of version 0.1-1 dated 2023-09-07

Diff between defm versions 0.1-1 dated 2023-09-07 and 0.2.1.0 dated 2026-02-13

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Package dbplyr updated to version 2.5.2 with previous version 2.5.1 dated 2025-09-10

Title: A 'dplyr' Back End for Databases
Description: A 'dplyr' back end for databases that allows you to work with remote database tables as if they are in-memory data frames. Basic features works with any database that has a 'DBI' back end; more advanced features require 'SQL' translation to be provided by the package author.
Author: Hadley Wickham [aut, cre], Maximilian Girlich [aut], Edgar Ruiz [aut], Posit Software, PBC [cph, fnd]
Maintainer: Hadley Wickham <hadley@posit.co>

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Package cnefetools updated to version 0.2.1 with previous version 0.2.0 dated 2026-02-11

Title: Access and Analysis of Brazilian CNEFE Address Data
Description: Download, cache and read municipality-level address data from the Cadastro Nacional de Enderecos para Fins Estatisticos (CNEFE) of the 2022 Brazilian Census, published by the Instituto Brasileiro de Geografia e Estatistica (IBGE) <https://ftp.ibge.gov.br/Cadastro_Nacional_de_Enderecos_para_Fins_Estatisticos/>. Beyond data access, provides spatial aggregation of addresses, computation of land-use mix indices, and dasymetric interpolation of census tract variables using CNEFE dwelling points as ancillary data. Results can be produced on 'H3' hexagonal grids or user-supplied polygons, and heavy operations leverage a 'DuckDB' backend with extensions for fast, in-process execution.
Author: Jorge Ubirajara Pedreira Junior [aut, cre, cph] , Bruno Mioto [aut], Kaio Cunha Pedreira [ctb]
Maintainer: Jorge Ubirajara Pedreira Junior <jorge.ubirajara@ufba.br>

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Package AquaEnv updated to version 1.0-5 with previous version 1.0-4 dated 2016-09-06

Title: Integrated Development Toolbox for Aquatic Chemical Model Generation
Description: Toolbox for the experimental aquatic chemist, focused on acidification and CO2 air-water exchange. It contains all elements to model the pH, the related CO2 air-water exchange, and aquatic acid-base chemistry for an arbitrary marine, estuarine or freshwater system. It contains a suite of tools for sensitivity analysis, visualisation, modelling of chemical batches, and can be used to build dynamic models of aquatic systems. As from version 1.0-4, it also contains functions to calculate the buffer factors.
Author: Andreas F. Hofmann [aut], Karline Soetaert [aut, cre], Filip J.R. Meysman [aut], Mathilde Hagens [aut]
Maintainer: Karline Soetaert <karline.soetaert@nioz.nl>

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Package iClick updated to version 1.6.1 with previous version 1.6 dated 2025-08-21

Title: A Button-Based GUI for Financial and Economic Data Analysis
Description: A GUI designed to support the analysis of financial-economic time series data.
Author: Ho Tsung-wu [aut, cre]
Maintainer: Ho Tsung-wu <tsungwu@ntnu.edu.tw>

Diff between iClick versions 1.6 dated 2025-08-21 and 1.6.1 dated 2026-02-13

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Package tensorEVD (with last version 0.1.4) was removed from CRAN

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2024-09-03 0.1.4
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2024-02-08 0.1.1
2023-11-14 0.1.0

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Package support (with last version 0.1.7) was removed from CRAN

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2023-11-27 1.0.8
2023-09-01 1.0.7
2021-04-18 1.0.6
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2020-09-01 1.0.4
2020-07-17 1.0.3
2020-05-07 1.0.0

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2026-02-12 0.1.0

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2025-11-14 0.17
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2021-07-16 0.15
2018-03-31 0.14
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2015-11-13 0.12
2014-12-09 0.11
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Package metapack (with last version 0.3) was removed from CRAN

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2024-01-24 0.3
2022-05-30 0.2.0
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2021-10-20 0.1.4
2021-07-20 0.1.3
2021-04-21 0.1.2
2021-02-23 0.1.1
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Package cglm (with last version 1.1) was removed from CRAN

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2019-12-06 1.1
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Package MLModelSelection (with last version 1.0) was removed from CRAN

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2020-03-20 1.0

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Package latrend (with last version 1.6.2) was removed from CRAN

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2025-07-04 1.6.2
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2024-02-18 1.6.0
2023-03-17 1.5.1
2022-11-10 1.5.0
2022-10-26 1.4.3
2022-08-15 1.4.2

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