Thu, 29 Jan 2026

Package UNPaC updated to version 1.2.0 with previous version 1.1.1 dated 2022-06-09

Title: Non-Parametric Cluster Significance Testing with Reference to a Unimodal Null Distribution
Description: Assess the significance of identified clusters and estimates the true number of clusters by comparing the explained variation due to the clustering from the original data to that produced by clustering a unimodal reference distribution which preserves the covariance structure in the data. The reference distribution is generated using kernel density estimation and a Gaussian copula framework. A dimension reduction strategy and sparse covariance estimation optimize this method for the high-dimensional, low-sample size setting. This method is described in Helgeson, Vock, and Bair (2021) <doi:10.1111/biom.13376>.
Author: Erika S. Helgeson [aut, cre], David Vock [aut], Eric Bair [aut]
Maintainer: Erika S. Helgeson <helge@umn.edu>

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Package treeheatr updated to version 0.2.3 with previous version 0.2.1 dated 2020-11-19

Title: Heatmap-Integrated Decision Tree Visualizations
Description: Creates interpretable decision tree visualizations with the data represented as a heatmap at the tree's leaf nodes. 'treeheatr' utilizes the customizable 'ggparty' package for drawing decision trees.
Author: Trang Le [aut, cre] , Jason Moore [aut] , University of Pennsylvania [cph]
Maintainer: Trang Le <grixor@gmail.com>

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Package timechange updated to version 0.4.0 with previous version 0.3.0 dated 2024-01-18

Title: Efficient Manipulation of Date-Times
Description: Efficient routines for manipulation of date-time objects while accounting for time-zones and daylight saving times. The package includes utilities for updating of date-time components (year, month, day etc.), modification of time-zones, rounding of date-times, period addition and subtraction etc. Parts of the 'CCTZ' source code, released under the Apache 2.0 License, are included in this package. See <https://github.com/google/cctz> for more details.
Author: Vitalie Spinu [aut, cre], Google Inc. [ctb, cph]
Maintainer: Vitalie Spinu <spinuvit@gmail.com>

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Package REDCapCAST updated to version 26.1.1 with previous version 25.3.2 dated 2025-03-10

Title: REDCap Metadata Casting and Castellated Data Handling
Description: Casting metadata for REDCap database creation and handling of castellated data using repeated instruments and longitudinal projects in 'REDCap'. Keeps a focused data export approach, by allowing to only export required data from the database. Also for casting new REDCap databases based on datasets from other sources. Originally forked from the R part of 'REDCapRITS' by Paul Egeler. See <https://github.com/pegeler/REDCapRITS>. 'REDCap' (Research Electronic Data Capture) is a secure, web-based software platform designed to support data capture for research studies, providing 1) an intuitive interface for validated data capture; 2) audit trails for tracking data manipulation and export procedures; 3) automated export procedures for seamless data downloads to common statistical packages; and 4) procedures for data integration and interoperability with external sources (Harris et al (2009) <doi:10.1016/j.jbi.2008.08.010>; Harris et al (2019) <doi:10.1016/j.jbi.2019.103208> [...truncated...]
Author: Andreas Gammelgaard Damsbo [aut, cre] , Paul Egeler [aut]
Maintainer: Andreas Gammelgaard Damsbo <andreas@gdamsbo.dk>

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Package pollster readmission to version 0.1.7 with previous version 0.1.6 dated 2023-05-12

Title: Calculate Crosstab and Topline Tables of Weighted Survey Data
Description: Calculate common types of tables for weighted survey data. Options include topline and (2-way and 3-way) crosstab tables of categorical or ordinal data as well as summary tables of weighted numeric variables. Optionally, include the margin of error at selected confidence intervals including the design effect. The design effect is calculated as described by Kish (1965) <doi:10.1002/bimj.19680100122> beginning on page 257. Output takes the form of tibbles (simple data frames). This package conveniently handles labelled data, such as that commonly used by 'Stata' and 'SPSS.' Complex survey design is not supported at this time.
Author: John D. Johnson [aut, cre]
Maintainer: John D. Johnson <john.d.johnson@marquette.edu>

This is a re-admission after prior archival of version 0.1.6 dated 2023-05-12

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Package phsopendata updated to version 1.0.2 with previous version 1.0.1 dated 2025-11-05

Title: Extract from the Scottish Health and Social Care Open Data Platform
Description: Extract and interact with data from the Scottish Health and Social Care Open Data platform <https://www.opendata.nhs.scot>.
Author: Public Health Scotland [cph], Csilla Scharle [aut], James Hayes [cre, aut] , David Aikman [aut], Ross Hull [aut]
Maintainer: James Hayes <James.Hayes2@phs.scot>

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Package metarep readmission to version 1.2.1 with previous version 1.2.0 dated 2023-12-15

Title: Replicability-Analysis Tools for Meta-Analysis
Description: User-friendly package for reporting replicability-analysis methods, affixed to meta-analyses summary. The replicability-analysis output provides an assessment of the investigated intervention, where it offers quantification of effect replicability and assessment of the consistency of findings. - Replicability-analysis for fixed-effects and random-effect meta analysis: - r(u)-value; - lower bounds on the number of studies with replicated positive and\or negative effect; - Allows detecting inconsistency of signals; - forest plots with the summary of replicability analysis results; - Allows Replicability-analysis with or without the common-effect assumption.
Author: Iman Jaljuli [cre, aut]
Maintainer: Iman Jaljuli <jaljuli.iman@gmail.com>

This is a re-admission after prior archival of version 1.2.0 dated 2023-12-15

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Package massProps updated to version 0.3.4 with previous version 0.3.3 dated 2025-06-20

Title: Calculate Mass Properties and Uncertainties of Tree Structures
Description: Recursively calculates mass properties (mass, center of mass, moments and products of inertia, and optionally, their uncertainties) for arbitrary decomposition trees. R. L. Zimmerman, J. H. Nakai. (2005) <https://www.sawe.org/product/paper-3360/>).
Author: James Steven Jenkins [aut, cre, cph]
Maintainer: James Steven Jenkins <sjenkins@studioj.us>

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Package cobalt updated to version 4.6.2 with previous version 4.6.1 dated 2025-08-20

Title: Covariate Balance Tables and Plots
Description: Generate balance tables and plots for covariates of groups preprocessed through matching, weighting or subclassification, for example, using propensity scores. Includes integration with 'MatchIt', 'WeightIt', 'MatchThem', 'twang', 'Matching', 'optmatch', 'CBPS', 'ebal', 'cem', 'sbw', and 'designmatch' for assessing balance on the output of their preprocessing functions. Users can also specify data for balance assessment not generated through the above packages. Also included are methods for assessing balance in clustered or multiply imputed data sets or data sets with multi-category, continuous, or longitudinal treatments.
Author: Noah Greifer [aut, cre]
Maintainer: Noah Greifer <noah.greifer@gmail.com>

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New package rinet with initial version 0.1.0
Package: rinet
Title: Clinical Reference Interval Estimation with Reference Interval Network (RINet)
Version: 0.1.0
Description: Predicts statistics of a reference distribution from a mixture of raw clinical measurements (healthy and pathological). Uses pretrained CNN models to estimate the mean, standard deviation, and reference fraction from 1D or 2D sample data. Methods are described in LeBien, Velev, and Roche-Lima (2026) "RINet: synthetic data training for indirect estimation of clinical reference distributions" <doi:10.1016/j.jbi.2026.104980>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: reticulate
SystemRequirements: Python (>= 3.8), TensorFlow (>= 2.16), Keras (>= 3.0), scikit-learn
NeedsCompilation: no
Packaged: 2026-01-26 07:48:36 UTC; jack
Author: Jack LeBien [aut, cre]
Maintainer: Jack LeBien <jackgl4124@gmail.com>
Repository: CRAN
Date/Publication: 2026-01-29 21:50:02 UTC

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New package LassoHiDFastGibbs with initial version 0.1.4
Package: LassoHiDFastGibbs
Title: Fast High-Dimensional Gibbs Samplers for Bayesian Lasso Regression
Version: 0.1.4
Description: Provides fast and scalable Gibbs sampling algorithms for Bayesian Lasso regression model in high-dimensional settings. The package implements efficient partially collapsed and nested Gibbs samplers for Bayesian Lasso, with a focus on computational efficiency when the number of predictors is large relative to the sample size. Methods are described at Davoudabadi and Ormerod (2026) <https://github.com/MJDavoudabadi/LassoHiDFastGibbs>.
License: GPL-3
Encoding: UTF-8
SystemRequirements: C++17
Imports: Rcpp
LinkingTo: Rcpp, RcppArmadillo, RcppEigen, RcppNumerical, RcppClock
NeedsCompilation: yes
Suggests: posterior
URL: https://github.com/MJDavoudabadi/LassoHiDFastGibbs
BugReports: https://github.com/MJDavoudabadi/LassoHiDFastGibbs/issues
Packaged: 2026-01-26 01:33:54 UTC; mjava
Author: John Ormerod [aut] , Mohammad Javad Davoudabadi [aut, cre, cph], Garth Tarr [aut] , Samuel Mueller [aut] , Jonathon Tidswell [ctb] )
Maintainer: Mohammad Javad Davoudabadi <mohammad.davoudabadi@qut.edu.au>
Repository: CRAN
Date/Publication: 2026-01-29 21:50:14 UTC

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New package emplikCS with initial version 0.2
Package: emplikCS
Version: 0.2
Title: Empirical Likelihood with Current Status Data for Mean, Probability, Hazard
Maintainer: Mai Zhou <maizhou@gmail.com>
Depends: R (>= 4.0.0), quadprog, monotone
Imports: stats
Description: Compute the empirical likelihood ratio, -2LogLikRatio (Wilks) statistics, based on current status data for the hypothesis about the parameters of mean or probability or weighted cumulative hazard.
License: GPL (>= 2)
NeedsCompilation: no
Author: Mai Zhou [aut, cre]
Packaged: 2026-01-26 01:19:34 UTC; maizh
Repository: CRAN
Date/Publication: 2026-01-29 21:40:01 UTC

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Package embed updated to version 1.2.2 with previous version 1.2.1 dated 2025-11-30

Title: Extra Recipes for Encoding Predictors
Description: Predictors can be converted to one or more numeric representations using a variety of methods. Effect encodings using simple generalized linear models <doi:10.48550/arXiv.1611.09477> or nonlinear models <doi:10.48550/arXiv.1604.06737> can be used. There are also functions for dimension reduction and other approaches.
Author: Emil Hvitfeldt [aut, cre] , Max Kuhn [aut] , Posit Software, PBC [cph, fnd]
Maintainer: Emil Hvitfeldt <emil.hvitfeldt@posit.co>

Diff between embed versions 1.2.1 dated 2025-11-30 and 1.2.2 dated 2026-01-29

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Package USAboundaries readmission to version 0.5.1 with previous version 0.4.0 dated 2021-10-12

Title: Historical and Contemporary Boundaries of the United States of America
Description: The boundaries for geographical units in the United States of America contained in this package include state, county, congressional district, and zip code tabulation area. Contemporary boundaries are provided by the U.S. Census Bureau (public domain). Historical boundaries for the years from 1629 to 2000 are provided form the Newberry Library's Atlas of Historical County Boundaries (licensed CC BY-NC-SA). Additional data is provided in the USAboundariesData package; this package provides an interface to access that data.
Author: Lincoln Mullen [aut] , Jordan Bratt [aut] , United States Census Bureau [cph], Jacci Ziebert [cre]
Maintainer: Jacci Ziebert <jacciziebert@gmail.com>

This is a re-admission after prior archival of version 0.4.0 dated 2021-10-12

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Package RNAmf updated to version 1.1.3 with previous version 1.1.2 dated 2025-09-12

Title: Recursive Non-Additive Emulator for Multi-Fidelity Data
Description: Performs RNA emulation and active learning proposed by Heo and Sung (2025) <doi:10.1080/00401706.2024.2376173> for multi-fidelity computer experiments. The RNA emulator is particularly useful when the simulations with different fidelity level are nonlinearly correlated. The hyperparameters in the model are estimated by maximum likelihood estimation.
Author: Junoh Heo [aut, cre], Chih-Li Sung [aut]
Maintainer: Junoh Heo <heojunoh@msu.edu>

Diff between RNAmf versions 1.1.2 dated 2025-09-12 and 1.1.3 dated 2026-01-29

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Package oblicubes updated to version 1.0.1 with previous version 1.0.0 dated 2025-03-10

Title: 3D Rendering Using Obliquely Projected Cubes and Cuboids
Description: Three-dimensional rendering for 'grid' and 'ggplot2' graphics using cubes and cuboids drawn with an oblique projection. As a special case also supports primary view orthographic projections. Can be viewed as an extension to the 'isocubes' package <https://github.com/coolbutuseless/isocubes>.
Author: Trevor L. Davis [aut, cre] , Mike FC [aut]
Maintainer: Trevor L. Davis <trevor.l.davis@gmail.com>

Diff between oblicubes versions 1.0.0 dated 2025-03-10 and 1.0.1 dated 2026-01-29

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New package istatR with initial version 0.1.0
Package: istatR
Title: Interface to the Italian National Institute of Statistics ('ISTAT') API
Version: 0.1.0
Description: Provides an interface to the 'ISTAT' 'SDMX' RESTful API <https://esploradati.istat.it/SDMXWS>. Allows users to discover available datasets, explore their structure and dimensions, and retrieve statistical data from the Italian National Institute of Statistics. Based on the Python 'istatapi' package by Jacopo Attolini.
License: Apache License (>= 2)
Encoding: UTF-8
Imports: httr2, xml2, dplyr, tibble, stringr, purrr, readr, rlang
Suggests: testthat (>= 3.0.0)
URL: https://github.com/jfulponi/istatR
BugReports: https://github.com/jfulponi/istatR/issues
NeedsCompilation: no
Packaged: 2026-01-25 20:37:45 UTC; juan
Author: Juan Ignacio Fulponi [aut, cre]
Maintainer: Juan Ignacio Fulponi <jfulponi@economicas.uba.ar>
Depends: R (>= 4.1.0)
Repository: CRAN
Date/Publication: 2026-01-29 20:20:01 UTC

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New package h5lite with initial version 2.0.0.2
Package: h5lite
Title: Simplified 'HDF5' Interface
Version: 2.0.0.2
Description: A user-friendly interface for the Hierarchical Data Format 5 ('HDF5') library designed to "just work." It bundles the necessary system libraries to ensure easy installation on all platforms. Features smart defaults that automatically map R objects (vectors, matrices, data frames) to efficient 'HDF5' types, removing the need to manage low-level details like dataspaces or property lists. Uses the 'HDF5' library developed by The HDF Group <https://www.hdfgroup.org/>.
URL: https://github.com/cmmr/h5lite, https://cmmr.github.io/h5lite/
BugReports: https://github.com/cmmr/h5lite/issues
Depends: R (>= 4.2.0)
LinkingTo: hdf5lib (>= 2.0.0.5)
Suggests: bit64, knitr, rmarkdown, testthat (>= 3.0.0)
NeedsCompilation: yes
License: MIT + file LICENSE
Encoding: UTF-8
VignetteBuilder: knitr
Packaged: 2026-01-25 20:50:23 UTC; Daniel
Author: Daniel P. Smith [aut, cre] , Alkek Center for Metagenomics and Microbiome Research [cph, fnd]
Maintainer: Daniel P. Smith <dansmith01@gmail.com>
Repository: CRAN
Date/Publication: 2026-01-29 20:20:07 UTC

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Package DNAmf updated to version 0.1.1 with previous version 0.1.0 dated 2025-06-23

Title: Diffusion Non-Additive Model with Tunable Precision
Description: Performs Diffusion Non-Additive (DNA) model proposed by Heo, Boutelet, and Sung (2025+) <doi:10.48550/arXiv.2506.08328> for multi-fidelity computer experiments with tuning parameters. The DNA model captures nonlinear dependencies across fidelity levels using Gaussian process priors and is particularly effective when simulations at different fidelity levels are nonlinearly correlated. The DNA model targets not only interpolation across given fidelity levels but also extrapolation to smaller tuning parameters including the exact solution corresponding to a zero-valued tuning parameter, leveraging a nonseparable covariance kernel structure that models interactions between the tuning parameter and input variables. Closed-form expressions for the predictive mean and variance enable efficient inference and uncertainty quantification. Hyperparameters in the model are estimated via maximum likelihood estimation.
Author: Junoh Heo [aut, cre], Romain Boutelet [aut], Chih-Li Sung [aut]
Maintainer: Junoh Heo <heojunoh@msu.edu>

Diff between DNAmf versions 0.1.0 dated 2025-06-23 and 0.1.1 dated 2026-01-29

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Package confintROB updated to version 1.1-1 with previous version 1.0-2 dated 2025-06-21

Title: Confidence Intervals for Robust and Classical Linear Mixed Model Estimators
Description: The main function calculates confidence intervals (CI) for Mixed Models, utilizing both classical estimators from the lmer() function in the 'lme4' package and robust estimators from the rlmer() function in the 'robustlmm' package, as well as the varComprob() function in the 'robustvarComp' package. Three methods are available: the classical Wald method, the wild bootstrap, and the parametric bootstrap. Bootstrap methods offer flexibility in obtaining lower and upper bounds through percentile or BCa methods. More details are given in Mason, F., Cantoni, E., & Ghisletta, P. (2021) <doi:10.5964/meth.6607> and Mason, F., Cantoni, E., & Ghisletta, P. (2024) <doi:10.1037/met0000643>.
Author: Fabio Mason [aut, cre], Manuel Koller [aut], Eva Cantoni [ctb, ths], Paolo Ghisletta [ths]
Maintainer: Fabio Mason <fabio.mason@unige.ch>

Diff between confintROB versions 1.0-2 dated 2025-06-21 and 1.1-1 dated 2026-01-29

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New package CLRtools with initial version 0.1.0
Package: CLRtools
Title: Diagnostic Tools for Logistic and Conditional Logistic Regression
Version: 0.1.0
Description: Provides tools for fitting, assessing, and comparing logistic and conditional logistic regression models. Includes residual diagnostics and goodness of fit measures for model development and evaluation in matched case control studies.
License: GPL-3
Encoding: UTF-8
Imports: bayesplot, caret, dplyr, ggplot2, ggpubr, lmtest, loo, patchwork, RColorBrewer, rlang, rstan, survival, tidyr
Suggests: dagitty, ggdag, knitr, rmarkdown, rstanarm
VignetteBuilder: knitr
Depends: R (>= 3.5)
LazyData: true
NeedsCompilation: no
Packaged: 2026-01-25 20:32:17 UTC; bhernand
Author: Brenda Contla Hernandez [aut, cre], Matthieu Vignes [ctb] , Chris Compton [ctb]
Maintainer: Brenda Contla Hernandez <brendacontla11@gmail.com>
Repository: CRAN
Date/Publication: 2026-01-29 20:30:06 UTC

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New package chronometre with initial version 0.0.1
Package: chronometre
Title: A 'chronomètre' is a 'stopwatch'
Version: 0.0.1
Date: 2026-01-25
Description: As a 'chronomètre' is a 'stopwatch', this package offers a simple stopwatch, and in particular one that can be shared with Python (using the corresponding package of the same name available via 'PyPi') such that both interpreters operate on the same object instance and shown in the demo file, as well as in the unit tests.
Suggests: RcppSpdlog, xptr, reticulate, tinytest
URL: https://github.com/eddelbuettel/chronometre-r
BugReports: https://github.com/eddelbuettel/chronometre-r/issues
License: GPL (>= 2)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-01-25 22:25:32 UTC; edd
Author: Dirk Eddelbuettel [aut, cre]
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Repository: CRAN
Date/Publication: 2026-01-29 20:30:02 UTC

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New package weatherjoin with initial version 0.2.0
Package: weatherjoin
Title: Join Gridded Weather Data to Event Tables
Version: 0.2.0
URL: https://github.com/hauae/weatherjoin
BugReports: https://github.com/hauae/weatherjoin/issues
Description: High-level tools to attach gridded weather data from the NASA POWER Project to event-based datasets. The package plans efficient spatio-temporal API calls via the 'nasapower' R package, caches downloaded segments locally, and joins weather variables back to the input table using exact or rolling joins. This package is not affiliated with or endorsed by NASA.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: data.table, jsonlite
Suggests: nasapower, digest, fst, anytime, testthat (>= 3.0.0), knitr, rmarkdown, withr
Depends: R (>= 4.1.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-01-25 13:52:17 UTC; 00758120
Author: Przemek Dolowy [aut, cre]
Maintainer: Przemek Dolowy <pdolowy@harper-adams.ac.uk>
Repository: CRAN
Date/Publication: 2026-01-29 18:50:01 UTC

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New package StatsTFLValR with initial version 1.0.0
Package: StatsTFLValR
Title: Utilities for Validation of Clinical Trial 'SDTM', 'ADaM' and 'TFL' Outputs
Version: 1.0.0
Description: Provides utility functions for validation and quality control of clinical trial datasets and outputs across 'SDTM', 'ADaM' and 'TFL' workflows. The package supports dataset loading, metadata inspection, frequency and summary calculations, table-ready aggregations, and compare-style dataset review similar to 'SAS' 'PROC COMPARE'. Functions are designed to support reproducible execution, transparent review, and independent verification of statistical programming results. Dataset comparisons may leverage 'arsenal' <https://cran.r-project.org/package=arsenal>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.2.0)
Imports: dplyr, tidyr, tibble, rlang, haven, readxl, tidyselect, purrr, arsenal, data.table
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), gt, gtsummary, withr
URL: https://github.com/kalsem/StatsTFLValR
BugReports: https://github.com/kalsem/StatsTFLValR/issues
NeedsCompilation: no
Packaged: 2026-01-25 13:55:30 UTC; mange
Author: Mangesh Kalsekar [aut, cre]
Maintainer: Mangesh Kalsekar <kalsekar.mangesh@gmail.com>
Repository: CRAN
Date/Publication: 2026-01-29 19:00:02 UTC

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Package representr updated to version 0.1.6 with previous version 0.1.5 dated 2023-09-05

Title: Create Representative Records After Entity Resolution
Description: An implementation of Kaplan, Betancourt, Steorts (2022) <doi:10.1080/00031305.2022.2041482> that creates representative records for use in downstream tasks after entity resolution is performed. Multiple methods for creating the representative records (data sets) are provided.
Author: Andee Kaplan [aut, cre], Brenda Betancourt [aut], Rebecca C. Steorts [aut]
Maintainer: Andee Kaplan <andee.kaplan@colostate.edu>

Diff between representr versions 0.1.5 dated 2023-09-05 and 0.1.6 dated 2026-01-29

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New package coldrift with initial version 0.1.1
Package: coldrift
Title: Lightweight Column Drift Detection for Tabular Data
Version: 0.1.1
Description: Provides simple and efficient methods to detect column-level data drift between reference and target datasets. Designed for monitoring tabular data pipelines and machine learning inputs using statistical distance measures.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: stats
NeedsCompilation: no
Packaged: 2026-01-25 09:59:35 UTC; yash
Author: Yash Auti [aut, cre]
Maintainer: Yash Auti <autiyash97@gmail.com>
Repository: CRAN
Date/Publication: 2026-01-29 18:50:06 UTC

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Package rlas updated to version 1.8.4 with previous version 1.8.3 dated 2026-01-28

Title: Read and Write 'las' and 'laz' Binary File Formats Used for Remote Sensing Data
Description: Read and write 'las' and 'laz' binary file formats. The LAS file format is a public file format for the interchange of 3-dimensional point cloud data between data users. The LAS specifications are approved by the American Society for Photogrammetry and Remote Sensing <https://community.asprs.org/leadership-restricted/leadership-content/public-documents/standards>. The LAZ file format is an open and lossless compression scheme for binary LAS format versions 1.0 to 1.4 <https://laszip.org/>.
Author: Jean-Romain Roussel [aut, cre, cph], Florian De Boissieu [aut, ctb] , Martin Isenburg [cph] , David Auty [ctb] , Pierrick Marie [ctb] , Tiago de Conto [ctb]
Maintainer: Jean-Romain Roussel <info@r-lidar.com>

Diff between rlas versions 1.8.3 dated 2026-01-28 and 1.8.4 dated 2026-01-29

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 MD5                                |   14 +++++++-------
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Package receptiviti updated to version 0.2.1 with previous version 0.2.0 dated 2025-06-07

Title: Text Analysis Through the 'Receptiviti' API
Description: Sends texts to the <https://www.receptiviti.com> API to be scored, and facilitates the creation of custom norms and local results databases.
Author: Receptiviti Inc. [fnd, cph], Kent English [cre], Micah Iserman [aut, ctr]
Maintainer: Kent English <kenglish@receptiviti.com>

Diff between receptiviti versions 0.2.0 dated 2025-06-07 and 0.2.1 dated 2026-01-29

 DESCRIPTION            |    8 ++--
 MD5                    |   12 +++---
 NEWS.md                |    7 +++
 R/manage_request.R     |   88 +++++++++++++++++++++----------------------------
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Package qualpalr updated to version 2.0.0 with previous version 1.0.1 dated 2025-10-17

Title: Automatic Generation of Qualitative Color Palettes
Description: Automatic generation of maximally distinct qualitative color palettes, optionally tailored to color deficiency. A set of colors or a subspace of a color space is used as input and a final palette of specified size is generated by picking colors that maximize the minimum pairwise difference among the chosen colors. Adaptations to color vision deficiency, background colors, and white points are supported.
Author: Johan Larsson [aut, cre]
Maintainer: Johan Larsson <johan@jolars.co>

Diff between qualpalr versions 1.0.1 dated 2025-10-17 and 2.0.0 dated 2026-01-29

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Package operator.tools updated to version 1.6.3.1 with previous version 1.6.3 dated 2017-02-28

Title: Utilities for Working with R's Operators
Description: Provides a collection of utilities that allow programming with R's operators. Routines allow classifying operators, translating to and from an operator and its underlying function, and inverting some operators (e.g. comparison operators), etc. All methods can be extended to custom infix operators.
Author: Christopher Brown [aut, cre], Decision Patterns [cph]
Maintainer: Christopher Brown <chris.brown@decisionpatterns.com>

Diff between operator.tools versions 1.6.3 dated 2017-02-28 and 1.6.3.1 dated 2026-01-29

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Package growthTrendR updated to version 0.2.1 with previous version 0.2.0 dated 2026-01-24

Title: Toolkit for Data Processing, Quality, and Statistical Models
Description: Offers tools for data formatting, anomaly detection, and classification of tree-ring data using spatial comparisons and cross-correlation. Supports flexible detrending and climate–growth modeling via generalized additive mixed models (Wood 2017, ISBN:978-1498728331) and the 'mgcv' package (<https://CRAN.R-project.org/package=mgcv>), enabling robust analysis of non-linear trends and autocorrelated data. Provides standardized visual reporting, including summaries, diagnostics, and model performance. Compatible with '.rwl' files and tailored for the Canadian Forest Service Tree-Ring Data (CFS-TRenD) repository (Girardin et al. (2021) <doi:10.1139/er-2020-0099>), offering a comprehensive and adaptable framework for dendrochronologists working with large and complex datasets.
Author: Xiao Jing Guo [aut, cre], Martin Girardin [aut], Juha Metsaranta [aut], David Gervais [aut], Elizabeth Campbell [aut]
Maintainer: Xiao Jing Guo <xiaojing.guo@nrcan-rncan.gc.ca>

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Package foreign updated to version 0.8-91 with previous version 0.8-90 dated 2025-03-31

Title: Read Data Stored by 'Minitab', 'S', 'SAS', 'SPSS', 'Stata', 'Systat', 'Weka', 'dBase', ...
Description: Reading and writing data stored by some versions of 'Epi Info', 'Minitab', 'S', 'SAS', 'SPSS', 'Stata', 'Systat', 'Weka', and for reading and writing some 'dBase' files.
Author: R Core Team [aut, cph, cre] , Roger Bivand [ctb, cph], Vincent J. Carey [ctb, cph], Saikat DebRoy [ctb, cph], Stephen Eglen [ctb, cph], Rajarshi Guha [ctb, cph], Swetlana Herbrandt [ctb], Nicholas Lewin-Koh [ctb, cph], Mark Myatt [ctb, cph], Michael [...truncated...]
Maintainer: R Core Team <R-core@R-project.org>

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Package admiralonco updated to version 1.4.0 with previous version 1.3.0 dated 2025-09-01

Title: Oncology Extension Package for ADaM in 'R' Asset Library
Description: Programming oncology specific Clinical Data Interchange Standards Consortium (CDISC) compliant Analysis Data Model (ADaM) datasets in 'R'. ADaM datasets are a mandatory part of any New Drug or Biologics License Application submitted to the United States Food and Drug Administration (FDA). Analysis derivations are implemented in accordance with the "Analysis Data Model Implementation Guide" (CDISC Analysis Data Model Team (2021), <https://www.cdisc.org/standards/foundational/adam>). The package is an extension package of the 'admiral' package.
Author: Stefan Bundfuss [aut, cre], Amit Jain [aut], Vinh Nguyen [aut], Olga Starostecka [aut], Kiran Peddamudium [aut], Tomoyuki Namai [aut], Ross Farrugia [aut], Yirong Cao [ctb], Ashwini Weber [ctb], F. Hoffmann-La Roche AG [cph, fnd], GlaxoSmithKline LLC [...truncated...]
Maintainer: Stefan Bundfuss <stefan.bundfuss@roche.com>

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Package manifestoR updated to version 1.6.2 with previous version 1.6.1 dated 2025-08-29

Title: Access and Process Data and Documents of the Manifesto Project
Description: Provides access to coded election programmes from the Manifesto Corpus and to the Manifesto Project's Main Dataset and routines to analyse this data. The Manifesto Project <https://manifesto-project.wzb.eu> collects and analyses election programmes across time and space to measure the political preferences of parties. The Manifesto Corpus contains the collected and annotated election programmes in the Corpus format of the package 'tm' to enable easy use of text processing and text mining functionality. Specific functions for scaling of coded political texts are included.
Author: Jirka Lewandowski [aut], Nicolas Merz [aut], Sven Regel [aut], Pola Lehmann [cre, ctb], Paul Muscat [ctb]
Maintainer: Pola Lehmann <pola.lehmann@wzb.eu>

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Package hce updated to version 0.9.0 with previous version 0.8.8 dated 2025-12-05

Title: Design and Analysis of Hierarchical Composite Endpoints
Description: Simulate and analyze hierarchical composite endpoints. Includes implementation for the kidney hierarchical composite endpoint as defined in Heerspink HL et al (2023) “Development and validation of a new hierarchical composite end point for clinical trials of kidney disease progression” (Journal of the American Society of Nephrology 34 (2): 2025–2038, <doi:10.1681/ASN.0000000000000243>). Win odds, also called Wilcoxon-Mann-Whitney or success odds, is the main analysis method. Other win statistics (win probability, win ratio, net benefit) are also implemented in the univariate case, provided there is no censoring. The win probability analysis is based on the Brunner-Munzel test and uses the DeLong-DeLong-Clarke-Pearson variance estimator, as described by Brunner and Konietschke (2025) in “An unbiased rank-based estimator of the Mann–Whitney variance including the case of ties” (Statistical Papers 66 (1): 20, <doi:10.1007/s00362-024-01635-0>). Includes implementation of a new [...truncated...]
Author: Samvel B. Gasparyan [aut, cre]
Maintainer: Samvel B. Gasparyan <gasparyan.co@gmail.com>

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Package gamboostLSS updated to version 2.2-0 with previous version 2.1-0 dated 2025-02-24

Title: Boosting Methods for 'GAMLSS'
Description: Boosting models for fitting generalized additive models for location, shape and scale ('GAMLSS') to potentially high dimensional data.
Author: Benjamin Hofner [aut, cre] , Andreas Mayr [aut], Nora Fenske [aut], Janek Thomas [aut], Matthias Schmid [aut]
Maintainer: Benjamin Hofner <benjamin.hofner@pei.de>

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Package bspm updated to version 0.5.8 with previous version 0.5.7 dated 2024-04-10

Title: Bridge to System Package Manager
Description: Enables binary package installations on Linux distributions. Provides functions to manage packages via the distribution's package manager. Also provides transparent integration with R's install.packages() and a fallback mechanism. When installed as a system package, interacts with the system's package manager without requiring administrative privileges via an integrated D-Bus service; otherwise, uses sudo. Currently, the following backends are supported: DNF, APT, ALPM.
Author: Inaki Ucar [aut, cph, cre]
Maintainer: Inaki Ucar <iucar@fedoraproject.org>

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Package aramappings updated to version 0.1.3 with previous version 0.1.2 dated 2025-11-25

Title: Computes Adaptable Radial Axes Mappings
Description: Computes low-dimensional point representations of high-dimensional numerical data according to the data visualization method Adaptable Radial Axes described in: Manuel Rubio-Sánchez, Alberto Sanchez, and Dirk J. Lehmann (2017) "Adaptable radial axes plots for improved multivariate data visualization" <doi:10.1111/cgf.13196>.
Author: Manuel Rubio-Sanchez [aut, cre, cph] , Dirk J. Lehmann [ctb] , Miguel Angel Munoz Mohedano [ctb] , Alberto Sanchez Campos [ctb] , Cristina Soguero-Ruiz [ctb]
Maintainer: Manuel Rubio-Sanchez <manuel.rubio@urjc.es>

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Package segmented updated to version 2.2-1 with previous version 2.2-0 dated 2026-01-15

Title: Regression Models with Break-Points / Change-Points Estimation (with Possibly Random Effects)
Description: Fitting regression models where, in addition to possible linear terms, one or more covariates have segmented (i.e., broken-line or piece-wise linear) or stepmented (i.e. piece-wise constant) effects. Multiple breakpoints for the same variable are allowed. The estimation method is discussed in Muggeo (2003, <doi:10.1002/sim.1545>) and illustrated in Muggeo (2008, <https://www.r-project.org/doc/Rnews/Rnews_2008-1.pdf>). An approach for hypothesis testing is presented in Muggeo (2016, <doi:10.1080/00949655.2016.1149855>), and interval estimation for the breakpoint is discussed in Muggeo (2017, <doi:10.1111/anzs.12200>). Segmented mixed models, i.e. random effects in the change point, are discussed in Muggeo (2014, <doi:10.1177/1471082X13504721>). Estimation of piecewise-constant relationships and changepoints (mean-shift models) is discussed in Fasola et al. (2018, <doi:10.1007/s00180-017-0740-4>).
Author: Vito M. R. Muggeo [aut, cre]
Maintainer: Vito M. R. Muggeo <vito.muggeo@unipa.it>

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Package readepi updated to version 1.0.4 with previous version 1.0.3 dated 2025-10-29

Title: Read Data from Relational Database Management Systems and Health Information Systems
Description: Import Data from Relational Database Management Systems (RDBMS) and Health Information Systems ('HIS'). The current version of the package supports importing data from RDBMS including 'MS SQL', 'MySQL', 'PostGRESQL', and 'SQLite', as well as from two HIS platforms: 'DHIS2' and 'SORMAS'.
Author: Karim Mane [aut] , Emmanuel Kabuga [aut] , Bubacarr Bah [aut, cre] , Bankole Ahadzie [ctb], Nuredin Mohammed [ctb], Abdoelnaser Degoot [ctb], Hugo Gruson [rev] , Pratik Gupte [rev] , Andree Valle-Campos [rev] , London School of Hygiene and Tropical M [...truncated...]
Maintainer: Bubacarr Bah <Bubacarr.Bah1@lshtm.ac.uk>

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Package PlotTools updated to version 0.4.0 with previous version 0.3.1 dated 2024-09-03

Title: Extended Tools for Continuous Legends, Polygon Manipulation, and Visual Display of Categorical Data
Description: Annotate plots with legends for continuous variables and colour spectra using the base graphics plotting tools; and manipulate irregular polygons. Includes palettes for colour-blind viewers.
Author: Martin R. Smith [aut, cre, cph] , Martin Krzywinski [ctb]
Maintainer: Martin R. Smith <martin.smith@durham.ac.uk>

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Package np updated to version 0.60-19 with previous version 0.60-18 dated 2024-12-10

Title: Nonparametric Kernel Smoothing Methods for Mixed Data Types
Description: Nonparametric (and semiparametric) kernel methods that seamlessly handle a mix of continuous, unordered, and ordered factor data types. We would like to gratefully acknowledge support from the Natural Sciences and Engineering Research Council of Canada (NSERC, <https://www.nserc-crsng.gc.ca/>), the Social Sciences and Humanities Research Council of Canada (SSHRC, <https://www.sshrc-crsh.gc.ca/>), and the Shared Hierarchical Academic Research Computing Network (SHARCNET, <https://sharcnet.ca/>). We would also like to acknowledge the contributions of the GNU GSL authors. In particular, we adapt the GNU GSL B-spline routine gsl_bspline.c adding automated support for quantile knots (in addition to uniform knots), providing missing functionality for derivatives, and for extending the splines beyond their endpoints.
Author: Jeffrey S. Racine [aut, cre], Tristen Hayfield [aut]
Maintainer: Jeffrey S. Racine <racinej@mcmaster.ca>

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Package IrregLong updated to version 0.4.1 with previous version 0.4.0 dated 2024-09-06

Title: Analysis of Longitudinal Data with Irregular Observation Times
Description: Functions to help with analysis of longitudinal data featuring irregular observation times, where the observation times may be associated with the outcome process. There are functions to quantify the degree of irregularity, fit inverse-intensity weighted Generalized Estimating Equations (Lin H, Scharfstein DO, Rosenheck RA (2004) <doi:10.1111/j.1467-9868.2004.b5543.x>), perform multiple outputation (Pullenayegum EM (2016) <doi:10.1002/sim.6829>) and fit semi-parametric joint models (Liang Y (2009) <doi: 10.1111/j.1541-0420.2008.01104.x>).
Author: Eleanor Pullenayegum [aut, cre]
Maintainer: Eleanor Pullenayegum <eleanor.pullenayegum@sickkids.ca>

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Package fitlandr updated to version 0.1.1 with previous version 0.1.0 dated 2023-02-10

Title: Fit Vector Fields and Potential Landscapes from Intensive Longitudinal Data
Description: A toolbox for estimating vector fields from intensive longitudinal data, and construct potential landscapes thereafter. The vector fields can be estimated with two nonparametric methods: the Multivariate Vector Field Kernel Estimator (MVKE) by Bandi & Moloche (2018) <doi:10.1017/S0266466617000305> and the Sparse Vector Field Consensus (SparseVFC) algorithm by Ma et al. (2013) <doi:10.1016/j.patcog.2013.05.017>. The potential landscapes can be constructed with a simulation-based approach with the 'simlandr' package (Cui et al., 2021) <doi:10.31234/osf.io/pzva3>, or the Bhattacharya et al. (2011) method for path integration <doi:10.1186/1752-0509-5-85>.
Author: Jingmeng Cui [aut, cre]
Maintainer: Jingmeng Cui <jingmeng.cui@outlook.com>

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Package crs updated to version 0.15-39 with previous version 0.15-38 dated 2024-09-29

Title: Categorical Regression Splines
Description: Regression splines that handle a mix of continuous and categorical (discrete) data often encountered in applied settings. I would like to gratefully acknowledge support from the Natural Sciences and Engineering Research Council of Canada (NSERC, <https://www.nserc-crsng.gc.ca>), the Social Sciences and Humanities Research Council of Canada (SSHRC, <https://www.sshrc-crsh.gc.ca>), and the Shared Hierarchical Academic Research Computing Network (SHARCNET, <https://www.sharcnet.ca>). We would also like to acknowledge the contributions of the GNU GSL authors. In particular, we adapt the GNU GSL B-spline routine gsl_bspline.c adding automated support for quantile knots (in addition to uniform knots), providing missing functionality for derivatives, and for extending the splines beyond their endpoints.
Author: Jeffrey S. Racine [aut, cre], Zhenghua Nie [aut], Brian D. Ripley [ctb]
Maintainer: Jeffrey S. Racine <racinej@mcmaster.ca>

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Package CB2 updated to version 1.3.8 with previous version 1.3.6 dated 2025-10-01

Title: CRISPR Pooled Screen Analysis using Beta-Binomial Test
Description: Provides functions for hit gene identification and quantification of sgRNA (single-guided RNA) abundances for CRISPR (Clustered Regularly Interspaced Short Palindromic Repeats) pooled screen data analysis. Details are in Jeong et al. (2019) <doi:10.1101/gr.245571.118> and Baggerly et al. (2003) <doi:10.1093/bioinformatics/btg173>.
Author: Hyun-Hwan Jeong [aut, cre]
Maintainer: Hyun-Hwan Jeong <hyunhwanjeong@icloud.com>

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Package onc.api (with last version 2.0.1.0) was removed from CRAN

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Package pmml (with last version 2.5.2) was removed from CRAN

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2021-11-06 2.5.1
2021-11-04 2.5.0
2021-01-15 2.4.0
2020-04-22 2.3.1
2020-03-18 2.3.0
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2019-09-13 2.1.0
2019-06-03 2.0.0
2019-01-25 1.5.7
2018-10-08 1.5.6
2018-07-06 1.5.5
2018-01-08 1.5.4
2017-11-27 1.5.3
2017-02-27 1.5.2
2016-09-28 1.5.1
2015-08-05 1.5.0
2014-06-17 1.4.2
2013-10-24 1.4.1
2013-10-18 1.4
2013-08-17 1.3
2013-06-12 1.2.35
2013-01-26 1.2.34
2013-01-20 1.2.33
2012-12-09 1.2.32
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2012-02-19 1.2.29
2012-01-16 1.2.28
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2010-10-09 1.2.26
2010-10-07 1.2.25
2010-09-15 1.2.24
2010-08-05 1.2.23
2010-05-19 1.2.22
2009-12-07 1.2.21
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2009-10-26 1.2.19
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Package humanize (with last version 0.2.0) was removed from CRAN

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2018-04-04 0.2.0
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Package RKEEL (with last version 1.3.4) was removed from CRAN

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Package passport (with last version 0.3.0) was removed from CRAN

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Package seminrExtras updated to version 0.9.0 with previous version 0.2.0 dated 2025-09-03

Title: Conduct Additional Modeling and Analysis for 'seminr'
Description: Supplemental functions for estimating and analysing structural equation models including Cross Validated Prediction and Testing (CVPAT, Liengaard et al., 2021 <doi:10.1111/deci.12445>).
Author: Nicholas Patrick Danks [aut, cre], Soumya Ray [aut, ths]
Maintainer: Nicholas Patrick Danks <nicholasdanks@hotmail.com>

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Package enviPat updated to version 2.8 with previous version 2.6 dated 2022-10-21

Title: Isotope Pattern, Profile and Centroid Calculation for Mass Spectrometry
Description: Fast and very memory-efficient calculation of isotope patterns, subsequent convolution to theoretical envelopes (profiles) plus valley detection and centroidization or intensoid calculation. Batch processing, resolution interpolation, wrapper, adduct calculations and molecular formula parsing. Loos, M., Gerber, C., Corona, F., Hollender, J., Singer, H. (2015) <doi:10.1021/acs.analchem.5b00941>.
Author: Martin Loos [aut, cre], Christian Gerber [aut]
Maintainer: Martin Loos <mloos@envibee.ch>

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Package bruceR updated to version 2026.1 with previous version 2025.11 dated 2025-12-09

Title: Broadly Useful Convenient and Efficient R Functions
Description: Broadly useful convenient and efficient R functions that bring users concise and elegant R data analyses. This package includes easy-to-use functions for (1) basic R programming (e.g., set working directory to the path of currently opened file; import/export data from/to files in any format; print tables to Microsoft Word); (2) multivariate computation (e.g., compute scale sums/means/... with reverse scoring); (3) reliability analyses and factor analyses; (4) descriptive statistics and correlation analyses; (5) t-test, multi-factor analysis of variance (ANOVA), simple-effect analysis, and post-hoc multiple comparison; (6) tidy report of statistical models (to R Console and Microsoft Word); (7) mediation and moderation analyses (PROCESS); and (8) additional toolbox for statistics and graphics.
Author: Han Wu Shuang Bao [aut, cre]
Maintainer: Han Wu Shuang Bao <baohws@foxmail.com>

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Package AcuityView updated to version 1.1.1 with previous version 0.1 dated 2017-05-09

Title: A Package for Displaying Visual Scenes as They May Appear to an Animal with Lower Acuity
Description: This code provides a simple method for representing a visual scene as it may be seen by an animal with less acute vision. When using (or for more information), please cite the original publication.
Author: Eleanor Caves [aut, cre], Soenke Johnsen [aut]
Maintainer: Eleanor Caves <eleanor.caves@gmail.com>

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Package stgam updated to version 1.2.0 with previous version 1.1.0 dated 2025-08-27

Title: Spatially and Temporally Varying Coefficient Models Using Generalized Additive Models
Description: A framework for undertaking space and time varying coefficient models (varying parameter models) using a Generalized Additive Model (GAM) with smooths approach. The framework suggests the need to investigate for the presence and nature of any space-time dependencies in the data. It proposes a workflow that creates and refines an initial space-time GAM and includes tools to create and evaluate multiple model forms. The workflow sequence is to: i) Prepare the data by lengthening it to have a single location and time variables for each observation. ii) Create all possible space and/or time models in which each predictor is specified in different ways in smooths. iii) Evaluate each model via their AIC value and pick the best one. iv) Create the final model. v) Calculate the varying coefficient estimates to quantify how the relationships between the target and predictor variables vary over space, time or space-time. vi) Create maps, time series plots etc. The number of knots used in each sm [...truncated...]
Author: Lex Comber [aut, cre], Paul Harris [ctb], Gonzalo Irisarri [ctb], Chris Brunsdon [ctb]
Maintainer: Lex Comber <a.comber@leeds.ac.uk>

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Package RCytoGPS updated to version 1.2.10 with previous version 1.2.9 dated 2025-04-08

Title: Using Cytogenetics Data in R
Description: Defines classes and methods to process text-based cytogenetics using the CytoGPS web site, then import the results into R for further analysis and graphing.
Author: Kevin R. Coombes [aut, cre], Dwayne Tally [aut]
Maintainer: Kevin R. Coombes <krc@silicovore.com>

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Package eCerto updated to version 0.8.11 with previous version 0.8.5 dated 2025-03-28

Title: Statistical Tests for the Production of Reference Materials
Description: The production of certified reference materials (CRMs) requires various statistical tests depending on the task and recorded data to ensure that reported values of CRMs are appropriate. Often these tests are performed according to the procedures described in 'ISO GUIDE 35:2017'. The 'eCerto' package contains a 'Shiny' app which provides functionality to load, process, report and backup data recorded during CRM production and facilitates following the recommended procedures. It is described in Lisec et al (2023) <doi:10.1007/s00216-023-05099-3> and can also be accessed online <https://apps.bam.de/shn00/eCerto/> without package installation.
Author: Jan Lisec [cre, aut] , Frederik Kress [ctb]
Maintainer: Jan Lisec <jan.lisec@bam.de>

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Package cvdprevent updated to version 0.2.5 with previous version 0.2.4 dated 2025-11-11

Title: Access and Analyse Data from the 'CVD Prevent' API
Description: Provides an R interface to the 'CVD Prevent' application programming interface (API), allowing users to retrieve and analyse cardiovascular disease prevention data from primary care records across England. The Cardiovascular Disease Prevention Audit (CVDPREVENT) automatically extracts routinely held GP health data to support national reporting and improvement initiatives. See the API documentation for details: <https://bmchealthdocs.atlassian.net/wiki/spaces/CP/pages/317882369/CVDPREVENT+API+Documentation>.
Author: Craig Parylo [aut, cre, cph] , Cardiovascular Disease Prevention Audit [ant]
Maintainer: Craig Parylo <craig.parylo2@nhs.net>

Diff between cvdprevent versions 0.2.4 dated 2025-11-11 and 0.2.5 dated 2026-01-29

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Package CausalQueries updated to version 1.4.5 with previous version 1.4.4 dated 2025-12-20

Title: Make, Update, and Query Binary Causal Models
Description: Users can declare causal models over binary nodes, update beliefs about causal types given data, and calculate arbitrary queries. Updating is implemented in 'stan'. See Humphreys and Jacobs, 2023, Integrated Inferences (<DOI: 10.1017/9781316718636>) and Pearl, 2009 Causality (<DOI:10.1017/CBO9780511803161>).
Author: Clara Bicalho [ctb], Jasper Cooper [ctb], Macartan Humphreys [aut] , Till Tietz [aut, cre] , Alan Jacobs [aut], Merlin Heidemanns [ctb], Lily Medina [aut] , Julio Solis [ctb], Georgiy Syunyaev [aut] , Moritz Marbach [ctb]
Maintainer: Till Tietz <ttietz2014@gmail.com>

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Package vardpoor updated to version 0.21.0 with previous version 0.20.1 dated 2020-11-30

Title: Variance Estimation for Sample Surveys by the Ultimate Cluster Method
Description: Generation of domain variables, linearization of several non-linear population statistics (the ratio of two totals, weighted income percentile, relative median income ratio, at-risk-of-poverty rate, at-risk-of-poverty threshold, Gini coefficient, gender pay gap, the aggregate replacement ratio, the relative median income ratio, median income below at-risk-of-poverty gap, income quintile share ratio, relative median at-risk-of-poverty gap), computation of regression residuals in case of weight calibration, variance estimation of sample surveys by the ultimate cluster method (Hansen, Hurwitz and Madow, Sample Survey Methods And Theory, vol. I: Methods and Applications; vol. II: Theory. 1953, New York: John Wiley and Sons), variance estimation for longitudinal, cross-sectional measures and measures of change for single and multistage stage cluster sampling designs (Berger, Y. G., 2015, <doi:10.1111/rssa.12116>). Several other precision measures are derived - standard error, the coef [...truncated...]
Author: Juris Breidaks [aut], Martins Liberts [aut], Jelena Voronova [cre], Santa Ivanova [aut], Aleksis Jursevskis [ctb], Anthony Damico [ctb], Liliana Roze [ctb], Central Statistical Bureau of Latvia [cph, fnd]
Maintainer: Jelena Voronova <jelena.voronova@csp.gov.lv>

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Package RcppAlgos updated to version 2.9.5 with previous version 2.9.3 dated 2025-02-03

Title: High Performance Tools for Combinatorics and Computational Mathematics
Description: Provides optimized functions and flexible iterators implemented in C++ for solving problems in combinatorics and computational mathematics. Handles various combinatorial objects including combinations, permutations, integer partitions and compositions, Cartesian products, unordered Cartesian products, and partition of groups. Utilizes the RMatrix class from 'RcppParallel' for thread safety. The combination and permutation functions contain constraint parameters that allow for generation of all results of a vector meeting specific criteria (e.g. finding all combinations such that the sum is between two bounds). Capable of ranking/unranking combinatorial objects efficiently (e.g. retrieve only the nth lexicographical result) which sets up nicely for parallelization as well as random sampling. Gmp support permits exploration where the total number of results is large (e.g. comboSample(10000, 500, n = 4)). Additionally, there are several high performance number theoretic functions that are [...truncated...]
Author: Joseph Wood [aut, cre]
Maintainer: Joseph Wood <jwood000@gmail.com>

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Package GWASinspector updated to version 1.7.4 with previous version 1.7.3 dated 2025-03-30

Title: Comprehensive and Easy to Use Quality Control of GWAS Results
Description: When evaluating the results of a genome-wide association study (GWAS), it is important to perform a quality control to ensure that the results are valid, complete, correctly formatted, and, in case of meta-analysis, consistent with other studies that have applied the same analysis. This package was developed to facilitate and streamline this process and provide the user with a comprehensive report.
Author: Alireza Ani [aut, cre], Peter J. van der Most [aut], Ahmad Vaez [aut], Ilja M. Nolte [aut]
Maintainer: Alireza Ani <a.ani@umcg.nl>

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Package contsurvplot updated to version 0.2.3 with previous version 0.2.2 dated 2025-07-24

Title: Visualize the Effect of a Continuous Variable on a Time-to-Event Outcome
Description: Graphically display the (causal) effect of a continuous variable on a time-to-event outcome using multiple different types of plots based on g-computation. Those functions include, among others, survival area plots, survival contour plots, survival quantile plots and 3D surface plots. Due to the use of g-computation, all plot allow confounder-adjustment naturally. For details, see Robin Denz, Nina Timmesfeld (2023) <doi:10.1097/EDE.0000000000001630>.
Author: Robin Denz [aut, cre]
Maintainer: Robin Denz <robin.denz@rub.de>

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Package Rmalschains updated to version 0.2-11 with previous version 0.2-10 dated 2023-05-24

Title: Continuous Optimization using Memetic Algorithms with Local Search Chains (MA-LS-Chains)
Description: An implementation of an algorithm family for continuous optimization called memetic algorithms with local search chains (MA-LS-Chains), as proposed in Molina et al. (2010) <doi:10.1162/evco.2010.18.1.18102> and Molina et al. (2011) <doi:10.1007/s00500-010-0647-2>. Rmalschains is further discussed in Bergmeir et al. (2016) <doi:10.18637/jss.v075.i04>. Memetic algorithms are hybridizations of genetic algorithms with local search methods. They are especially suited for continuous optimization.
Author: Christoph Bergmeir [aut, cre, cph], Jose M. Benitez [ths], Daniel Molina [aut, cph], Robert Davies [ctb, cph] , Dirk Eddelbuettel [ctb, cph] , Nikolaus Hansen [ctb, cph] , Richard J. Wagner [ctb, cph]
Maintainer: Christoph Bergmeir <c.bergmeir@decsai.ugr.es>

Diff between Rmalschains versions 0.2-10 dated 2023-05-24 and 0.2-11 dated 2026-01-29

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Package phylosignalDB updated to version 0.4.2 with previous version 0.2.2 dated 2025-01-16

Title: Explore Phylogenetic Signals Using Distance-Based Methods
Description: A unified method, called M statistic, is provided for detecting phylogenetic signals in continuous traits, discrete traits, and multi-trait combinations. Blomberg and Garland (2002) <doi:10.1046/j.1420-9101.2002.00472.x> provided a widely accepted statistical definition of the phylogenetic signal, which is the "tendency for related species to resemble each other more than they resemble species drawn at random from the tree". The M statistic strictly adheres to the definition of phylogenetic signal, formulating an index and developing a method of testing in strict accordance with the definition, instead of relying on correlation analysis or evolutionary models. The novel method equivalently expressed the textual definition of the phylogenetic signal as an inequality equation of the phylogenetic and trait distances and constructed the M statistic. The M statistic implemented in this package is based on the methodology described in Yao and Yuan (2025) <doi:10.1002/ece3.71106>. [...truncated...]
Author: Liang Yao [aut, cre], Ye Yuan [aut]
Maintainer: Liang Yao <yaoliang986@ahnu.edu.cn>

Diff between phylosignalDB versions 0.2.2 dated 2025-01-16 and 0.4.2 dated 2026-01-29

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Package OptimalBinningWoE updated to version 1.0.8 with previous version 1.0.3 dated 2026-01-23

Title: Optimal Binning and Weight of Evidence Framework for Modeling
Description: High-performance implementation of 36 optimal binning algorithms (16 categorical, 20 numerical) for Weight of Evidence ('WoE') transformation, credit scoring, and risk modeling. Includes advanced methods such as Mixed Integer Linear Programming ('MILP'), Genetic Algorithms, Simulated Annealing, and Monotonic Regression. Features automatic method selection based on Information Value ('IV') maximization, strict monotonicity enforcement, and efficient handling of large datasets via 'Rcpp'. Fully integrated with the 'tidymodels' ecosystem for building robust machine learning pipelines. Based on methods described in Siddiqi (2006) <doi:10.1002/9781119201731> and Navas-Palencia (2020) <doi:10.48550/arXiv.2001.08025>.
Author: Jose Evandeilton Lopes [aut, cre, cph]
Maintainer: Jose Evandeilton Lopes <evandeilton@gmail.com>

Diff between OptimalBinningWoE versions 1.0.3 dated 2026-01-23 and 1.0.8 dated 2026-01-29

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Package graphpcor (with last version 0.1.15) was removed from CRAN

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

2026-01-15 0.1.15
2025-04-27 0.1.12
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Package KnockoffScreen (with last version 0.3.0) was removed from CRAN

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2021-11-19 0.3.0
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2020-09-12 1.0.1
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Package BNPdensity (with last version 2025.7.29) was removed from CRAN

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2025-07-29 2025.7.29
2023-03-24 2023.3.8
2021-05-13 2021.5.4
2020-03-08 2020.3.4
2019-09-18 2019.9.18
2019-09-11 2019.9.11
2019-07-11 2019.7.9
2017-03-02 2017.03
2015-06-08 2015.5
2013-07-31 2013.8
2012-08-03 0.7.9
2011-10-08 0.7.8
2011-09-23 0.7.7

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

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2021-10-14 0.1.7
2020-08-10 0.1.6

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2022-06-07 1.2.5
2022-03-25 1.2.4
2022-03-09 1.2.3
2021-10-19 1.2.2
2021-02-28 1.2.1
2020-12-16 1.2.0
2018-11-15 1.1.0
2018-01-17 1.0.0

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Package interplex (with last version 0.1.2) was removed from CRAN

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2024-02-20 0.1.2

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Package WGScan (with last version 0.1) was removed from CRAN

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2019-05-27 0.1

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Package DEGRE (with last version 0.2.0) was removed from CRAN

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2022-11-02 0.2.0
2022-11-01 0.1.0

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Package seqminer (with last version 9.7) was removed from CRAN

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2024-10-02 9.7
2024-02-03 9.4
2023-11-28 9.3
2023-09-02 9.1
2023-04-07 8.9
2023-01-26 8.6
2022-11-15 8.5
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2021-11-09 8.2
2020-03-02 8.0
2019-01-08 7.1
2019-01-06 7.0
2018-12-06 6.7
2018-08-02 6.1
2017-05-05 6.0
2017-04-18 5.9
2017-01-13 5.7
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2015-06-29 4.5
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2015-05-16 3.7
2014-12-08 3.4

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2021-11-23 0.1.0

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2018-12-21 0.1

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Package spatstat.model updated to version 3.6-1 with previous version 3.5-0 dated 2025-11-28

Title: Parametric Statistical Modelling and Inference for the 'spatstat' Family
Description: Functionality for parametric statistical modelling and inference for spatial data, mainly spatial point patterns, in the 'spatstat' family of packages. (Excludes analysis of spatial data on a linear network, which is covered by the separate package 'spatstat.linnet'.) Supports parametric modelling, formal statistical inference, and model validation. Parametric models include Poisson point processes, Cox point processes, Neyman-Scott cluster processes, Gibbs point processes and determinantal point processes. Models can be fitted to data using maximum likelihood, maximum pseudolikelihood, maximum composite likelihood and the method of minimum contrast. Fitted models can be simulated and predicted. Formal inference includes hypothesis tests (quadrat counting tests, Cressie-Read tests, Clark-Evans test, Berman test, Diggle-Cressie-Loosmore-Ford test, scan test, studentised permutation test, segregation test, ANOVA tests of fitted models, adjusted composite likelihood ratio test, envelope t [...truncated...]
Author: Adrian Baddeley [aut, cre, cph] , Rolf Turner [aut, cph] , Ege Rubak [aut, cph] , Kasper Klitgaard Berthelsen [ctb], Achmad Choiruddin [ctb, cph], Jean-Francois Coeurjolly [ctb], Ottmar Cronie [ctb], Tilman Davies [ctb], Julian Gilbey [ctb], Yongtao [...truncated...]
Maintainer: Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>

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Package Rlabkey updated to version 3.4.5 with previous version 3.4.4 dated 2025-09-18

Title: Data Exchange Between R and 'LabKey' Server
Description: The 'LabKey' client library for R makes it easy for R users to load live data from a 'LabKey' Server, <https://www.labkey.com/>, into the R environment for analysis, provided users have permissions to read the data. It also enables R users to insert, update, and delete records stored on a 'LabKey' Server, provided they have appropriate permissions to do so.
Author: Peter Hussey [aut], Cory Nathe [cre]
Maintainer: Cory Nathe <cnathe@labkey.com>

Diff between Rlabkey versions 3.4.4 dated 2025-09-18 and 3.4.5 dated 2026-01-29

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Package gargle updated to version 1.6.1 with previous version 1.6.0 dated 2025-09-03

Title: Utilities for Working with Google APIs
Description: Provides utilities for working with Google APIs <https://developers.google.com/apis-explorer>. This includes functions and classes for handling common credential types and for preparing, executing, and processing HTTP requests.
Author: Jennifer Bryan [aut, cre] , Craig Citro [aut], Hadley Wickham [aut] , Google Inc [cph], Posit Software, PBC [cph, fnd]
Maintainer: Jennifer Bryan <jenny@posit.co>

Diff between gargle versions 1.6.0 dated 2025-09-03 and 1.6.1 dated 2026-01-29

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Package bittermelon updated to version 2.2.1 with previous version 2.1.1 dated 2025-01-16

Title: Bitmap Tools
Description: Provides functions for creating, modifying, and displaying bitmaps including printing them in the terminal. There is a special emphasis on monochrome bitmap fonts and their glyphs as well as colored pixel art/sprites. Provides native read/write support for the 'hex' and 'yaff' bitmap font formats and if 'monobit' <https://github.com/robhagemans/monobit> is installed can also read/write several additional bitmap font formats.
Author: Trevor L. Davis [aut, cre] , Frederic Cambus [tyg] , Markus Kuhn [tyg] , josehzz [art]
Maintainer: Trevor L. Davis <trevor.l.davis@gmail.com>

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More information about bittermelon at CRAN
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Package billboarder updated to version 0.5.1 with previous version 0.5.0 dated 2024-09-09

Title: Create Interactive Chart with the JavaScript 'Billboard' Library
Description: Provides an 'htmlwidgets' interface to 'billboard.js', a re-usable easy interface JavaScript chart library, based on D3 v4+. Chart types include line charts, scatterplots, bar/lollipop charts, histogram/density plots, pie/donut charts and gauge charts. All charts are interactive, and a proxy method is implemented to smoothly update a chart without rendering it again in 'shiny' apps.
Author: Victor Perrier [aut, cre], Fanny Meyer [aut], NAVER Corp [cph] , Mike Bostock [cph]
Maintainer: Victor Perrier <victor.perrier@dreamrs.fr>

Diff between billboarder versions 0.5.0 dated 2024-09-09 and 0.5.1 dated 2026-01-29

 DESCRIPTION                                          |    6 
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Package anthro updated to version 1.1.0 with previous version 1.0.1 dated 2023-09-17

Title: Computation of the WHO Child Growth Standards
Description: Provides WHO Child Growth Standards (z-scores) with confidence intervals and standard errors around the prevalence estimates, taking into account complex sample designs. More information on the methods is available online: <https://www.who.int/tools/child-growth-standards>.
Author: Dirk Schumacher [aut], Elaine Borghi [ctb, cre], Jonathan Polonsky [ctb], Giovanna Gatica Dominguez [ctb], World Health Organization [cph]
Maintainer: Elaine Borghi <nfsdata@who.int>

Diff between anthro versions 1.0.1 dated 2023-09-17 and 1.1.0 dated 2026-01-29

 DESCRIPTION                                       |   30 -
 MD5                                               |   59 +-
 NAMESPACE                                         |   19 
 NEWS.md                                           |   28 
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 R/z-score-arm-circumference-for-age.R             |   10 
 R/z-score-bmi-for-age.R                           |   14 
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 R/z-score-length-for-age.R                        |   10 
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 README.md                                         |   20 
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 33 files changed, 981 insertions(+), 535 deletions(-)

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Package funspotr updated to version 0.0.5 with previous version 0.0.4 dated 2023-11-21

Title: Spot R Functions & Packages
Description: Helpers for parsing out the R functions and packages used in R scripts and notebooks.
Author: Bryan Shalloway [aut, cre]
Maintainer: Bryan Shalloway <brshallodev@gmail.com>

Diff between funspotr versions 0.0.4 dated 2023-11-21 and 0.0.5 dated 2026-01-29

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 funspotr-0.0.5/funspotr/R/list-files-wd.R              |   86 +-
 funspotr-0.0.5/funspotr/R/network-plot.R               |  204 ++--
 funspotr-0.0.5/funspotr/R/spot-files.R                 |  232 ++---
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 funspotr-0.0.5/funspotr/R/spot-pkgs.R                  |  556 ++++++-------
 funspotr-0.0.5/funspotr/R/spot-tags.R                  |  214 ++---
 funspotr-0.0.5/funspotr/inst/ex-rmd-tags.Rmd           |   14 
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 funspotr-0.0.5/funspotr/man/list_files_github_repo.Rd  |    4 
 funspotr-0.0.5/funspotr/man/list_files_wd.Rd           |    4 
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 funspotr-0.0.5/funspotr/man/unnest_results.Rd          |    2 
 28 files changed, 1762 insertions(+), 1785 deletions(-)

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