Sun, 08 Feb 2026

Package rattle updated to version 5.6.2 with previous version 5.5.1 dated 2022-03-21

Title: R Data Science Supporting Rattle
Description: The R Analytic Tool To Learn Easily (Rattle) provides a collection of utilities functions for the data scientist. This package (v5.6.0) supports the companion graphical interface with the aim to provide a simple and intuitive introduction to R for data science, allowing a user to quickly load data from a CSV file transform and explore the data, and to build and evaluate models. A key aspect of the GUI is that all R commands are logged and commented through the log tab. This can be saved as a standalone R script file and as an aid for the user to learn R or to copy-and-paste directly into R itself. If you want to use the older Rattle implementing the GUI in RGtk2 (which is no longer available from CRAN) then please install the Rattle package v5.5.1. See rattle.togaware.com for instructions on installing the modern Rattle graphical user interface.
Author: Graham Williams [aut, cph, cre], Mark Vere Culp [cph], Ed Cox [ctb], Anthony Nolan [ctb], Denis White [cph], Daniele Medri [ctb], Akbar Waljee [ctb] , Brian Ripley [cph] , Jose Magana [ctb] , Surendra Tipparaju [ctb] , Durga Prasad Chappidi [ctb] , D [...truncated...]
Maintainer: Graham Williams <Graham.Williams@togaware.com>

Diff between rattle versions 5.5.1 dated 2022-03-21 and 5.6.2 dated 2026-02-08

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 rattle-5.6.2/rattle/DESCRIPTION                          |   68 
 rattle-5.6.2/rattle/MD5                                  |  128 
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 rattle-5.6.2/rattle/R/data.R                             | 1455 ----------
 rattle-5.6.2/rattle/R/evaluate.R                         |  604 ----
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 68 files changed, 968 insertions(+), 5845 deletions(-)

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Package ggbrick updated to version 0.3.2 with previous version 0.3.1 dated 2025-09-14

Title: Waffle Style Chart with a Brick Layout in 'ggplot2'
Description: A new take on the bar chart. Similar to a waffle style chart but instead of squares the layout resembles a brick wall.
Author: Daniel Oehm [aut, cre]
Maintainer: Daniel Oehm <danieloehm@gmail.com>

Diff between ggbrick versions 0.3.1 dated 2025-09-14 and 0.3.2 dated 2026-02-08

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 4 files changed, 9 insertions(+), 11 deletions(-)

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Package PhenotypeR updated to version 0.3.2 with previous version 0.3.1 dated 2026-01-28

Title: Assess Study Cohorts Using a Common Data Model
Description: Phenotype study cohorts in data mapped to the Observational Medical Outcomes Partnership Common Data Model. Diagnostics are run at the database, code list, cohort, and population level to assess whether study cohorts are ready for research.
Author: Edward Burn [aut, cre] , Marti Catala [aut] , Xihang Chen [aut] , Marta Alcalde-Herraiz [aut] , Nuria Mercade-Besora [aut] , Albert Prats-Uribe [aut]
Maintainer: Edward Burn <edward.burn@ndorms.ox.ac.uk>

Diff between PhenotypeR versions 0.3.1 dated 2026-01-28 and 0.3.2 dated 2026-02-08

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New package shinyEditor with initial version 0.1.0
Package: shinyEditor
Title: 'Ace' and 'Monaco' Editors Bindings for 'shiny' Application
Version: 0.1.0
Date: 2026-02-05
Maintainer: zearoby <949386232@qq.com>
Description: 'Ace' and 'Monaco' editor bindings to enable a rich text widget within 'shiny' application and provide more features, e.g. text comparison, spell checking and an extra 'SAS' code highlight mode.
License: MIT + file LICENSE
URL: https://github.com/zearoby/shinyEditor
BugReports: https://github.com/zearoby/shinyEditor/issues
Encoding: UTF-8
Depends: R (>= 4.0.0)
Imports: htmlwidgets, jsonlite, memoise, shinyjs, shiny, systemfonts, methods, yaml
Suggests: devtools, testthat
NeedsCompilation: no
Packaged: 2026-02-05 01:51:51 UTC; admin
Author: zearoby [aut, cre]
Repository: CRAN
Date/Publication: 2026-02-08 17:00:03 UTC

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New package scaledescr with initial version 0.1.3
Package: scaledescr
Title: Descriptive, Reliability, and Inferential Tables for Psychometric Scales and Demographic Data
Version: 0.1.3
Description: Provides functions to format and summarise already computed outputs from commonly used statistical and psychometric functions into compact, single-row tables and simple graphs, with utilities to export results to CSV, Word, and Excel formats. The package does not implement new statistical methods or estimation procedures; instead, it organises and presents results obtained from existing functions such as psych::describe(), psych::alpha(), stats::t.test(), and gtsummary::tbl_summary() to streamline reporting workflows in clinical and psychological research.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr, gtsummary, purrr, rlang, stats, officer, openxlsx, utils
Suggests: psych, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-02-05 03:12:52 UTC; HP
Author: Darshan Dharaiya [aut, cre]
Maintainer: Darshan Dharaiya <dharaiya.darshan@gmail.com>
Depends: R (>= 4.1.0)
Repository: CRAN
Date/Publication: 2026-02-08 17:00:10 UTC

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New package roadDB with initial version 0.1.0
Package: roadDB
Title: Access Data from the ROCEEH Out of Africa Database (ROAD)
Version: 0.1.0
Maintainer: Christian Sommer <christian.sommer@uni-tuebingen.de>
Description: Provides an R interface to the ROCEEH Out of Africa Database (ROAD) (<https://www.roceeh.uni-tuebingen.de/roadweb/smarty_road_simple_search.php>), a comprehensive resource for archaeological, anthropological, paleoenvironmental and geographic data from Africa and Eurasia dating from 3,000,000 to 20,000 years BP. The package allows users to retrieve data from the online database at different levels of detail and customize search requests. Functions return `data frame` objects compatible with other R packages used in prehistoric and paleoenvironmental science, supporting reproducible workflows as an input provider.
License: CC BY-SA 4.0
Encoding: UTF-8
Suggests: ggplot2, knitr, rmarkdown, testthat (>= 3.0.0)
Imports: RPostgres, assertthat, utils, dplyr, stringr, glue
NeedsCompilation: no
Packaged: 2026-02-04 13:29:53 UTC; somme
Author: Zara Kanaeva [aut] , Andrew Kandel [ctb] , Jesper Borre Pedersen [aut] , Christian Sommer [aut, cre] , Timo Patrick Streicher [aut] , Research Center: The Role of Culture in Early Expansions of Humans [cph], Heidelberg Academy of Sciences and Humani [...truncated...]
Repository: CRAN
Date/Publication: 2026-02-08 16:10:02 UTC

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New package QuantileOnQuantile with initial version 1.0.3
Package: QuantileOnQuantile
Title: Quantile-on-Quantile Regression Analysis
Version: 1.0.3
Description: Implements the Quantile-on-Quantile (QQ) regression methodology developed by Sim and Zhou (2015) <doi:10.1016/j.jbankfin.2015.01.013>. QQ regression estimates the effect that quantiles of one variable have on quantiles of another, capturing the dependence between distributions. The package provides functions for QQ regression estimation, 3D surface visualization with 'MATLAB'-style color schemes ('Jet', 'Viridis', 'Plasma'), heatmaps, contour plots, and quantile correlation analysis. Uses 'quantreg' for quantile regression and 'plotly' for interactive visualizations. Particularly useful for examining relationships between financial variables, oil prices, and stock returns under different market conditions.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.5.0)
Author: Merwan Roudane [aut, cre, cph], Nicholas Sim [ctb] , Hongtao Zhou [ctb]
Maintainer: Merwan Roudane <merwanroudane920@gmail.com>
Imports: quantreg (>= 5.0), plotly (>= 4.0.0), stats, utils
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), htmlwidgets
VignetteBuilder: knitr
URL: https://github.com/merwanroudane/qq
BugReports: https://github.com/merwanroudane/qq/issues
NeedsCompilation: no
Packaged: 2026-02-04 18:40:54 UTC; merwan
Repository: CRAN
Date/Publication: 2026-02-08 16:40:02 UTC

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New package HNPclassifier with initial version 0.1.0
Package: HNPclassifier
Title: Hierarchical Neyman-Pearson Classification for Ordered Classes
Version: 0.1.0
Description: The Hierarchical Neyman-Pearson (H-NP) classification framework extends the Neyman-Pearson classification paradigm to multi-class settings where classes have a natural priority ordering. This is particularly useful for classification in unbalanced dataset, for example, disease severity classification, where under-classification errors (misclassifying patients into less severe categories) are more consequential than other misclassifications. The package implements H-NP umbrella algorithms that controls under-classification errors under user specified control levels with high probability. It supports the creation of H-NP classifiers using scoring functions based on built-in classification methods (including logistic regression, support vector machines, and random forests), as well as user-trained scoring functions. For theoretical details, please refer to Lijia Wang, Y. X. Rachel Wang, Jingyi Jessica Li & Xin Tong (2024) <doi:10.1080/01621459.2023.2270657>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr, e1071, nnet, randomForest
NeedsCompilation: no
Packaged: 2026-02-04 18:16:28 UTC; scsma
Author: Che Shen [aut, cre] , Lujia Yang [aut] , Lijia Wang [aut] , Shunan Yao [aut]
Maintainer: Che Shen <chshen3-c@my.cityu.edu.hk>
Repository: CRAN
Date/Publication: 2026-02-08 16:40:07 UTC

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Package highs updated to version 1.12.0-3 with previous version 1.12.0-2 dated 2026-02-03

Title: 'HiGHS' Optimization Solver
Description: R interface to 'HiGHS', an optimization solver for solving mixed integer optimization problems with quadratic or linear objective and linear constraints.
Author: Florian Schwendinger [aut, cre], Dirk Schumacher [aut], Julian Hall [cph], Ivet Galabova [cph], Leona Gottwald [cph], Michael Feldmeier [cph]
Maintainer: Florian Schwendinger <FlorianSchwendinger@gmx.at>

Diff between highs versions 1.12.0-2 dated 2026-02-03 and 1.12.0-3 dated 2026-02-08

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New package fuzzystring with initial version 0.0.1
Package: fuzzystring
Title: Fast Fuzzy String Joins for Data Frames
Version: 0.0.1
Description: Perform fuzzy joins on data frames using approximate string matching. Implements all standard join types (inner, left, right, full, semi, anti) with support for multiple string distance metrics from the 'stringdist' package including Levenshtein, Damerau-Levenshtein, Jaro-Winkler, and Soundex. Features a high-performance 'data.table' backend with 'C++' row binding for efficient processing of large datasets. Ideal for matching misspellings, inconsistent labels, messy user input, or reconciling datasets with slight variations in identifiers. Optionally returns distance metrics alongside matched records.
License: MIT + file LICENSE
Depends: R (>= 4.1)
Imports: data.table, Rcpp, stringdist
LinkingTo: Rcpp
Suggests: dplyr, ggplot2, knitr, qdapDictionaries, readr, rmarkdown, rvest, stringr, testthat (>= 3.0.0), tidyr
Encoding: UTF-8
LazyData: true
URL: https://github.com/PaulESantos/fuzzystring, https://paulesantos.github.io/fuzzystring/
BugReports: https://github.com/PaulESantos/fuzzystring/issues
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-02-05 01:33:47 UTC; PC
Author: Paul E. Santos Andrade [aut, cre] , David Robinson [ctb]
Maintainer: Paul E. Santos Andrade <paulefrens@gmail.com>
Repository: CRAN
Date/Publication: 2026-02-08 17:00:15 UTC

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New package bunddev with initial version 0.1.0
Package: bunddev
Title: Discover and Call 'Bund.dev' APIs
Version: 0.1.0
Author: Michael Buecker [aut, cre]
Maintainer: Michael Buecker <michael.buecker@fh-muenster.de>
Depends: R (>= 4.1.0)
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.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: ggplot2, knitr, rmarkdown, testthat (>= 3.0.0), withr
Imports: cli, dplyr, httr2, jsonlite, purrr, rlang, stringr, tibble, tidyr, tools, xml2, yaml
VignetteBuilder: knitr, rmarkdown
NeedsCompilation: no
Packaged: 2026-02-04 19:46:14 UTC; michael
Repository: CRAN
Date/Publication: 2026-02-08 16:50:02 UTC

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Package easy.glmnet readmission to version 1.1 with previous version 1.0 dated 2024-09-11

Title: Functions to Simplify the Use of 'glmnet' for Machine Learning
Description: Provides several functions to simplify using the 'glmnet' package: converting data frames into matrices ready for 'glmnet'; b) imputing missing variables multiple times; c) fitting and applying prediction models straightforwardly; d) assigning observations to folds in a balanced way; e) cross-validate the models; f) selecting the most representative model across imputations and folds; and g) getting the relevance of the model regressors; as described in several publications: Solanes et al. (2022) <doi:10.1038/s41537-022-00309-w>, Palau et al. (2023) <doi:10.1016/j.rpsm.2023.01.001>, Salazar de Pablo et al. (2025) <doi:10.1038/s41380-025-03244-1>.
Author: Joaquim Radua [aut, cre]
Maintainer: Joaquim Radua <quimradua@gmail.com>

This is a re-admission after prior archival of version 1.0 dated 2024-09-11

Diff between easy.glmnet versions 1.0 dated 2024-09-11 and 1.1 dated 2026-02-08

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Package treesitter.c updated to version 0.0.4.2 with previous version 0.0.1 dated 2025-12-10

Title: 'R' Bindings to the 'C' Grammar for Tree-Sitter
Description: Provides bindings to a 'C' grammar for Tree-sitter, to be used alongside the 'treesitter' package. Tree-sitter builds concrete syntax trees for source files and can efficiently update them or generate code like producing R C API wrappers from C functions, structs and global definitions from header files.
Author: Sounkou Mahamane Toure [aut, cre], Tree-sitter authors [cph] , Eli Bendersky and Co-authors [cph]
Maintainer: Sounkou Mahamane Toure <sounkoutoure@gmail.com>

Diff between treesitter.c versions 0.0.1 dated 2025-12-10 and 0.0.4.2 dated 2026-02-08

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Package mLLMCelltype updated to version 2.0.0 with previous version 1.3.2 dated 2025-09-02

Title: Cell Type Annotation Using Large Language Models
Description: Automated cell type annotation for single-cell RNA sequencing data using consensus predictions from multiple large language models. Integrates with Seurat objects and provides uncertainty quantification for annotations. Supports various LLM providers including OpenAI, Anthropic, and Google. For details see Yang et al. (2025) <doi:10.1101/2025.04.10.647852>.
Author: Chen Yang [aut, cre, cph]
Maintainer: Chen Yang <cafferychen777@tamu.edu>

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Package HTGM3D readmission to version 1.0.1 with previous version 1.0 dated 2025-05-30

Title: Three Dimensional High Throughput 'GoMiner'
Description: The Gene Ontology (GO) Consortium <https://geneontology.org/> organizes genes into hierarchical categories based on biological process (BP), molecular function (MF) and cellular component (CC, i.e., subcellular localization). Tools such as 'GoMiner' (see Zeeberg, B.R., Feng, W., Wang, G. et al. (2003) <doi:10.1186/gb-2003-4-4-r28>) can leverage GO to perform ontological analysis of microarray and proteomics studies, typically generating a list of significant functional categories. To capture the benefit of all three ontologies, I developed 'HTGM3D', a three-dimensional version of 'GoMiner'.
Author: Barry Zeeberg [aut, cre]
Maintainer: Barry Zeeberg <barryz2013@gmail.com>

This is a re-admission after prior archival of version 1.0 dated 2025-05-30

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Package SKNN updated to version 4.1.3 with previous version 4.1.2 dated 2025-09-18

Title: A Super K-Nearest Neighbor (SKNN) Classification Algorithm
Description: It's a Super K-Nearest Neighbor(SKNN) classification method with using kernel density to describe weight of the distance between a training observation and the testing sample. Comparison of performance between SKNN and KNN shows that SKNN is significantly superior to KNN.
Author: Yarong Yang [aut, cre], Nader Ebrahimi [ctb], Yoram Rubin [ctb], Jacob Zhang [ctb]
Maintainer: Yarong Yang <Yi.YA_yaya@hotmail.com>

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Package seekr updated to version 0.1.4 with previous version 0.1.3 dated 2025-05-10

Title: Extract Matching Lines from Matching Files
Description: Provides a simple interface to recursively list files from a directory, filter them using a regular expression, read their contents, and extract lines that match a user-defined pattern. The package returns a dataframe containing the matched lines, their line numbers, file paths, and the corresponding matched substrings. Designed for quick code base exploration, log inspection, or any use case involving pattern-based file and line filtering.
Author: Sacha Martingay [aut, cre, cph]
Maintainer: Sacha Martingay <martingay.sacha@hotmail.com>

Diff between seekr versions 0.1.3 dated 2025-05-10 and 0.1.4 dated 2026-02-08

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Package taxize (with last version 0.10.0) was removed from CRAN

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

2025-02-07 0.10.0

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2025-12-21 0.6.0
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2020-06-16 1.0.0
2017-04-28 0.1.1
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2025-05-27 0.0.148

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Package wklsr (with last version 0.2.6) was removed from CRAN

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2026-01-27 0.2.6
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2020-06-29 0.4.0
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2017-04-03 0.1.0

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2021-09-13 0.1.3
2021-07-26 0.1.2

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Package ShinyLink (with last version 0.5.5) was removed from CRAN

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

2025-12-15 0.5.5
2023-01-18 0.2.2

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Package emodnet.wfs (with last version 2.1.1) was removed from CRAN

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

2025-07-14 2.1.1

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Package WikidataR (with last version 2.3.3) was removed from CRAN

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

2021-11-16 2.3.3
2021-07-12 2.3.1
2021-07-05 2.2.0
2021-05-25 2.1.5
2017-09-22 1.4.0
2017-05-17 1.3.0
2017-02-05 1.2.0
2016-06-13 1.1.0
2016-01-14 1.0.1
2015-06-01 1.0.0

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

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

2025-12-19 0.1.2
2022-09-22 0.1.1
2022-09-19 0.1.0

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Package tidywikidatar (with last version 0.6.0) was removed from CRAN

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

2026-02-04 0.6.0
2024-07-29 0.5.9
2024-03-28 0.5.8
2023-03-10 0.5.7
2023-01-31 0.5.6
2022-10-31 0.5.5
2022-08-06 0.5.4
2022-06-07 0.5.3
2022-05-18 0.5.2
2022-03-11 0.5.1
2022-01-26 0.5.0
2021-09-14 0.4.2
2021-08-04 0.4.1
2021-07-31 0.4.0
2021-06-07 0.3.0
2021-04-19 0.2.0

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Package Rdpack updated to version 2.6.6 with previous version 2.6.5 dated 2026-01-23

Title: Update and Manipulate Rd Documentation Objects
Description: Functions for manipulation of R documentation objects, including functions reprompt() and ereprompt() for updating 'Rd' documentation for functions, methods and classes; 'Rd' macros for citations and import of references from 'bibtex' files for use in 'Rd' files and 'roxygen2' comments; 'Rd' macros for evaluating and inserting snippets of 'R' code and the results of its evaluation or creating graphics on the fly; and many functions for manipulation of references and Rd files.
Author: Georgi N. Boshnakov [aut, cre] , Duncan Murdoch [ctb]
Maintainer: Georgi N. Boshnakov <georgi.boshnakov@manchester.ac.uk>

Diff between Rdpack versions 2.6.5 dated 2026-01-23 and 2.6.6 dated 2026-02-08

 DESCRIPTION                                           |    6 -
 MD5                                                   |   12 +-
 NEWS.md                                               |    6 +
 R/runexamples.R                                       |   91 +++++++++++++-----
 build/partial.rdb                                     |binary
 inst/doc/Inserting_bibtex_references.pdf              |binary
 inst/doc/Inserting_figures_and_evaluated_examples.pdf |binary
 7 files changed, 83 insertions(+), 32 deletions(-)

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Package geoarrow updated to version 0.4.2 with previous version 0.4.1 dated 2025-11-19

Title: Extension Types for Spatial Data for Use with 'Arrow'
Description: Provides extension types and conversions to between R-native object types and 'Arrow' columnar types. This includes integration among the 'arrow', 'nanoarrow', 'sf', and 'wk' packages such that spatial metadata is preserved wherever possible. Extension type implementations ensure first-class geometry data type support in the 'arrow' and 'nanoarrow' packages.
Author: Dewey Dunnington [aut, cre] , Anthony North [ctb], Apache Software Foundation [cph], Ulf Adams [cph], Daniel Lemire [cph], Joao Paulo Magalhaes [cph]
Maintainer: Dewey Dunnington <dewey@dunnington.ca>

Diff between geoarrow versions 0.4.1 dated 2025-11-19 and 0.4.2 dated 2026-02-08

 DESCRIPTION       |    6 +++---
 MD5               |    6 +++---
 NEWS.md           |    5 +++++
 R/pkg-nanoarrow.R |    2 +-
 4 files changed, 12 insertions(+), 7 deletions(-)

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Package disagmethod updated to version 0.1.1 with previous version 0.1.0 dated 2026-01-30

Title: Autoregressive Integrated Moving Average (ARIMA) Based Disaggregation Methods
Description: We have the code for disaggregation as found in Wei and Stram (1990, <doi:10.1111/j.2517-6161.1990.tb01799.x>), and Hodgess and Wei (1996, "Temporal Disaggregation of Time Series" in Statistical Science I, Nova Publishing). The disaggregation models have different orders of the moving average component. These are based on ARIMA models rather than differencing or using similar time series.
Author: Erin Hodgess [aut, cre]
Maintainer: Erin Hodgess <erinm.hodgess@gmail.com>

Diff between disagmethod versions 0.1.0 dated 2026-01-30 and 0.1.1 dated 2026-02-08

 DESCRIPTION |    6 +++---
 MD5         |    4 ++--
 R/lower3.R  |   49 +++++++++++++++++++++++++++++++++++++++++++------
 3 files changed, 48 insertions(+), 11 deletions(-)

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Package cgam updated to version 1.31 with previous version 1.30 dated 2026-01-16

Title: Constrained Generalized Additive Model
Description: A constrained generalized additive model is fitted by the cgam routine. Given a set of predictors, each of which may have a shape or order restrictions, the maximum likelihood estimator for the constrained generalized additive model is found using an iteratively re-weighted cone projection algorithm. The ShapeSelect routine chooses a subset of predictor variables and describes the component relationships with the response. For each predictor, the user needs only specify a set of possible shape or order restrictions. A model selection method chooses the shapes and orderings of the relationships as well as the variables. The cone information criterion (CIC) is used to select the best combination of variables and shapes. A genetic algorithm may be used when the set of possible models is large. In addition, the cgam routine implements a two-dimensional isotonic regression using warped-plane splines without additivity assumptions. It can also fit a convex or concave regression surface with [...truncated...]
Author: Mary Meyer [aut], Xiyue Liao [aut, cre]
Maintainer: Xiyue Liao <xliao@sdsu.edu>

Diff between cgam versions 1.30 dated 2026-01-16 and 1.31 dated 2026-02-08

 ChangeLog       |    7 +
 DESCRIPTION     |   10 +-
 MD5             |   14 +--
 NAMESPACE       |    1 
 R/cgam.R        |   33 ++++++++
 R/cgamm.R       |  209 +++++++++++++++++++++++++++++++++++++++++++++++++++++---
 man/COforest.Rd |    4 -
 man/cgamm.Rd    |    2 
 8 files changed, 254 insertions(+), 26 deletions(-)

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