Tue, 21 Jan 2025

Package nc updated to version 2025.1.21 with previous version 2024.9.20 dated 2024-09-20

Title: Named Capture to Data Tables
Description: User-friendly functions for extracting a data table (row for each match, column for each group) from non-tabular text data using regular expressions, and for melting columns that match a regular expression. Patterns are defined using a readable syntax that makes it easy to build complex patterns in terms of simpler, re-usable sub-patterns. Named R arguments are translated to column names in the output; capture groups without names are used internally in order to provide a standard interface to three regular expression 'C' libraries ('PCRE', 'RE2', 'ICU'). Output can also include numeric columns via user-specified type conversion functions.
Author: Toby Hocking [aut, cre]
Maintainer: Toby Hocking <toby.hocking@r-project.org>

Diff between nc versions 2024.9.20 dated 2024-09-20 and 2025.1.21 dated 2025-01-21

 DESCRIPTION                                                                         |    6 
 MD5                                                                                 |  240 
 NAMESPACE                                                                           |   35 
 NEWS                                                                                |  464 -
 R/alternatives.R                                                                    |  380 -
 R/apply_type_funs.R                                                                 |  158 
 R/capture_all_str.R                                                                 |  891 +-
 R/capture_first_df.R                                                                |  309 
 R/capture_first_glob.R                                                              |  234 
 R/capture_first_vec.R                                                               |  283 
 R/capture_longer_spec.R                                                             |   80 
 R/capture_melt_multiple.R                                                           |  310 
 R/capture_melt_single.R                                                             |  216 
 R/check_names.R                                                                     |  154 
 R/field.R                                                                           |  198 
 R/group.R                                                                           |  118 
 R/measure.R                                                                         |  338 
 R/only_captures.R                                                                   |   28 
 R/quantifier.R                                                                      |  128 
 R/stop_for.R                                                                        |  100 
 R/try.R                                                                             |   32 
 R/var_args_list.R                                                                   |  265 
 build/vignette.rds                                                                  |binary
 inst/doc/v0-overview.R                                                              |  118 
 inst/doc/v0-overview.Rmd                                                            |  280 
 inst/doc/v0-overview.html                                                           | 1008 +-
 inst/doc/v1-capture-first.R                                                         |  428 -
 inst/doc/v1-capture-first.Rmd                                                       |  850 +-
 inst/doc/v1-capture-first.html                                                      | 1936 ++---
 inst/doc/v2-capture-all.R                                                           |  238 
 inst/doc/v2-capture-all.Rmd                                                         |  514 -
 inst/doc/v2-capture-all.html                                                        | 1518 ++--
 inst/doc/v3-capture-melt.R                                                          |  300 
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 inst/doc/v3-capture-melt.html                                                       | 1612 ++--
 inst/doc/v4-comparisons.R                                                           | 1030 +-
 inst/doc/v4-comparisons.Rmd                                                         | 1370 +--
 inst/doc/v4-comparisons.html                                                        | 2646 +++----
 inst/doc/v5-helpers.R                                                               |  172 
 inst/doc/v5-helpers.Rmd                                                             |  350 
 inst/doc/v5-helpers.html                                                            | 1018 +-
 inst/doc/v6-engines.R                                                               |   40 
 inst/doc/v6-engines.Rmd                                                             |  264 
 inst/doc/v6-engines.html                                                            |  915 +-
 inst/doc/v7-capture-glob.R                                                          |  314 
 inst/doc/v7-capture-glob.Rmd                                                        |  580 -
 inst/doc/v7-capture-glob.html                                                       | 1556 ++--
 inst/extdata/MEDLINE_Fields.html                                                    | 3586 +++++-----
 inst/extdata/PMC3045577.nbib                                                        |  136 
 inst/extdata/RD12-0002_PP16HS_5sec_GM_F_1P.csv                                      |   74 
 inst/extdata/chip-seq-chunk-db.R                                                    |   22 
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 inst/extdata/compress-sizes.out                                                     |   12 
 inst/extdata/compress-times.out                                                     |   50 
 inst/extdata/namedCapture-refs.bib                                                  |  392 -
 inst/extdata/pepseq.txt                                                             |    6 
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 inst/extdata/vignette.Rnw                                                           |  794 +-
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 inst/test_engines.R                                                                 |   38 
 man/alternatives.Rd                                                                 |   94 
 man/alternatives_with_shared_groups.Rd                                              |  184 
 man/altlist.Rd                                                                      |  102 
 man/apply_type_funs.Rd                                                              |   52 
 man/capture_all_str.Rd                                                              |  824 +-
 man/capture_first_df.Rd                                                             |  243 
 man/capture_first_glob.Rd                                                           |  234 
 man/capture_first_vec.Rd                                                            |  235 
 man/capture_longer_spec.Rd                                                          |   70 
 man/capture_melt_multiple.Rd                                                        |  312 
 man/capture_melt_single.Rd                                                          |  216 
 man/check_df_names.Rd                                                               |   36 
 man/check_names.Rd                                                                  |   40 
 man/collapse_some.Rd                                                                |   46 
 man/field.Rd                                                                        |  204 
 man/group.Rd                                                                        |  128 
 man/measure.Rd                                                                      |   62 
 man/measure_multiple.Rd                                                             |   48 
 man/measure_single.Rd                                                               |   48 
 man/melt_list.Rd                                                                    |   42 
 man/only_captures.Rd                                                                |   40 
 man/quantifier.Rd                                                                   |  124 
 man/stop_for_capture_same_as_id.Rd                                                  |   38 
 man/stop_for_engine.Rd                                                              |   34 
 man/stop_for_subject.Rd                                                             |   34 
 man/subject_var_args.Rd                                                             |   37 
 man/try_or_stop_print_pattern.Rd                                                    |   44 
 man/var_args_list.Rd                                                                |   91 
 tests/testthat.R                                                                    |    5 
 tests/testthat/test-CRAN-all.R                                                      |  294 
 tests/testthat/test-CRAN-alternatives.R                                             |  348 
 tests/testthat/test-CRAN-df.R                                                       |  726 +-
 tests/testthat/test-CRAN-dt.R                                                       |   46 
 tests/testthat/test-CRAN-errors.R                                                   |  288 
 tests/testthat/test-CRAN-field.R                                                    |   72 
 tests/testthat/test-CRAN-glob.R                                                     |   67 
 tests/testthat/test-CRAN-group.R                                                    |   56 
 tests/testthat/test-CRAN-longer.R                                                   |   48 
 tests/testthat/test-CRAN-measure.R                                                  |   73 
 tests/testthat/test-CRAN-melt.R                                                     |  260 
 tests/testthat/test-CRAN-multiple.R                                                 |  912 +-
 tests/testthat/test-CRAN-quantifier.R                                               |  178 
 tests/testthat/test-CRAN-subject.R                                                  |   98 
 tests/testthat/test-CRAN-vec.R                                                      |  724 +-
 vignettes/v0-overview.Rmd                                                           |  280 
 vignettes/v1-capture-first.Rmd                                                      |  850 +-
 vignettes/v2-capture-all.Rmd                                                        |  514 -
 vignettes/v3-capture-melt.Rmd                                                       |  640 -
 vignettes/v4-comparisons.Rmd                                                        | 1370 +--
 vignettes/v5-helpers.Rmd                                                            |  350 
 vignettes/v6-engines.Rmd                                                            |  264 
 vignettes/v7-capture-glob.Rmd                                                       |  580 -
 121 files changed, 23643 insertions(+), 23536 deletions(-)

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Package GeDS updated to version 0.2.5 with previous version 0.2.4 dated 2024-09-12

Title: Geometrically Designed Spline Regression
Description: Spline Regression, Generalized Additive Models, and Component-wise Gradient Boosting, utilizing Geometrically Designed (GeD) Splines. GeDS regression is a non-parametric method inspired by geometric principles, for fitting spline regression models with variable knots in one or two independent variables. It efficiently estimates the number of knots and their positions, as well as the spline order, assuming the response variable follows a distribution from the exponential family. GeDS models integrate the broader category of Generalized (Non-)Linear Models, offering a flexible approach to modeling complex relationships. A description of the method can be found in Kaishev et al. (2016) <doi:10.1007/s00180-015-0621-7> and Dimitrova et al. (2023) <doi:10.1016/j.amc.2022.127493>. Further extending its capabilities, GeDS's implementation includes Generalized Additive Models (GAM) and Functional Gradient Boosting (FGB), enabling versatile multivariate predictor modeling, as discuss [...truncated...]
Author: Dimitrina S. Dimitrova [aut], Vladimir K. Kaishev [aut], Andrea Lattuada [aut], Emilio L. Saenz Guillen [aut, cre], Richard J. Verrall [aut]
Maintainer: Emilio L. Saenz Guillen <Emilio.Saenz-Guillen@bayes.city.ac.uk>

Diff between GeDS versions 0.2.4 dated 2024-09-12 and 0.2.5 dated 2025-01-21

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 19 files changed, 535 insertions(+), 175 deletions(-)

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Package atime updated to version 2025.1.21 with previous version 2024.11.29 dated 2024-12-02

Title: Asymptotic Timing
Description: Computing and visualizing comparative asymptotic timings of different algorithms and code versions. Also includes functionality for comparing empirical timings with expected references such as linear or quadratic, <https://en.wikipedia.org/wiki/Asymptotic_computational_complexity> Also includes functionality for measuring asymptotic memory and other quantities.
Author: Toby Hocking [aut, cre]
Maintainer: Toby Hocking <toby.hocking@r-project.org>

Diff between atime versions 2024.11.29 dated 2024-12-02 and 2025.1.21 dated 2025-01-21

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 48 files changed, 6852 insertions(+), 6791 deletions(-)

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Package ttdo updated to version 0.0.10 with previous version 0.0.9 dated 2023-02-22

Title: Extend 'tinytest' with 'diffobj' and 'tinysnapshot'
Description: The 'tinytest' package offers a light-weight zero-dependency unit-testing framework to which this package adds support via the 'diffobj' package for 'diff'-style textual comparison of R objects, as well as via 'tinysnapshot' package for visual differences in plots.
Author: Dirk Eddelbuettel [aut, cre] , Alton Barbehenn [aut]
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between ttdo versions 0.0.9 dated 2023-02-22 and 0.0.10 dated 2025-01-21

 ChangeLog                             |   41 ++++++++++++++++++++++++++++++++++
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 MD5                                   |   22 +++++++++---------
 NAMESPACE                             |   10 +++++---
 R/expectations.R                      |   28 +++++++++++++++--------
 R/expectations_xl.R                   |    4 +--
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 README.md                             |    2 -
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 13 files changed, 120 insertions(+), 40 deletions(-)

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New package setariaviridis with initial version 0.1.0
Package: setariaviridis
Title: Field-Collected Data of Green Foxtail
Version: 0.1.0
Description: Setaria viridis (green foxtail) is a common weed. This package contains measurements from individual branches of a wild Setaria viridis plant collected near the author's home. The data is intended for use in data analysis practice.
License: MIT + file LICENSE
URL: https://github.com/NONONOexe/setariaviridis, https://nononoexe.github.io/setariaviridis/
BugReports: https://github.com/NONONOexe/setariaviridis/issues
Depends: R (>= 3.5)
Encoding: UTF-8
LazyData: true
Suggests: spelling
Language: en-US
NeedsCompilation: no
Packaged: 2025-01-20 11:20:29 UTC; nononoexe
Author: Keisuke Ando [aut, cre]
Maintainer: Keisuke Ando <ando@maslab.aitech.ac.jp>
Repository: CRAN
Date/Publication: 2025-01-21 16:00:02 UTC

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New package readapra with initial version 0.2.0
Package: readapra
Title: Download and Tidy Data from the Australian Prudential Regulation Authority
Version: 0.2.0
Description: Download the latest data from the Australian Prudential Regulation Authority <https://www.apra.gov.au/> and import it into R as a tidy data frame.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Suggests: openxlsx, readr, testthat (>= 3.0.0), webmockr, withr
URL: https://github.com/javanderwal/readapra
BugReports: https://github.com/javanderwal/readapra/issues
Imports: cli (>= 3.0.0), dplyr (>= 1.0.0), httr (>= 1.0.0), janitor, lubridate (>= 1.0.0), memoise, polite (>= 0.1.0), purrr (>= 1.0.0), ratelimitr, rlang (>= 1.0.0), robotstxt, rvest (>= 1.0.0), stringdist, stringr (>= 1.0.0), tibble (>= 2.0.0), tidyr (>= 1.0.0), tidyselect (>= 1.0.0), tidyxl (>= 1.0.0), utils
Depends: R (>= 3.5)
NeedsCompilation: no
Packaged: 2025-01-20 02:01:30 UTC; jarva
Author: Jarrod van der Wal [aut, cre, cph]
Maintainer: Jarrod van der Wal <jarvanderwal@gmail.com>
Repository: CRAN
Date/Publication: 2025-01-21 15:50:02 UTC

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New package MiscMath with initial version 1.0
Package: MiscMath
Title: Miscellaneous Mathematical Tools
Version: 1.0
Description: Some basic math calculators for finding angles for triangles and for finding the greatest common divisor of two numbers and so on.
LazyLoad: true
License: GPL (>= 2)
Depends: randomForest
NeedsCompilation: yes
Author: W.J. Braun [aut, cre]
Maintainer: W.J. Braun <john.braun@ubc.ca>
Packaged: 2025-01-19 01:17:55 UTC; johbraun
Repository: CRAN
Date/Publication: 2025-01-21 15:30:06 UTC

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New package metabodecon with initial version 1.2.6
Package: metabodecon
Title: Deconvolution and Alignment of 1d NMR Spectra
Version: 1.2.6
Description: A framework for deconvolution, alignment and postprocessing of 1-dimensional (1d) nuclear magnetic resonance (NMR) spectra, resulting in a data matrix of aligned signal integrals. The deconvolution part uses the algorithm described in Koh et al. (2009) <doi:10.1016/j.jmr.2009.09.003>. The alignment part is based on functions from the 'speaq' package, described in Beirnaert et al. (2018) <doi:10.1371/journal.pcbi.1006018> and Vu et al. (2011) <doi:10.1186/1471-2105-12-405>. A detailed description and evaluation of an early version of the package, 'MetaboDecon1D v0.2.2', can be found in Haeckl et al. (2021) <doi:10.3390/metabo11070452>.
License: GPL (>= 3)
URL: https://github.com/spang-lab/metabodecon/, https://spang-lab.github.io/metabodecon/
BugReports: https://github.com/spang-lab/metabodecon/issues
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: data.table, mathjaxr, readJDX, speaq, toscutil (>= 2.8.0), withr
Suggests: devtools, digest, knitr, lifecycle, microbenchmark, pkgload, rmarkdown, usethis, vdiffr, testthat (>= 3.0.0)
LazyData: true
BuildManual: TRUE
Language: en-US
NeedsCompilation: no
Packaged: 2025-01-20 12:14:18 UTC; tschmidt
Author: Tobias Schmidt [aut, cre, cph], Martina Haeckl [aut, cph], Yanren Linda Hu [ctb], Wolfram Gronwald [aut, cph]
Maintainer: Tobias Schmidt <tobias.schmidt331@gmail.com>
Repository: CRAN
Date/Publication: 2025-01-21 16:00:06 UTC

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New package dMrs with initial version 1.0.0
Package: dMrs
Title: Competing Risk in Dependent Net Survival Analysis
Version: 1.0.0
Date: 2025-01-09
Description: Provides statistical tools for analyzing net and relative survival, with a key feature of relaxing the assumption of independent censoring and incorporating the effect of dependent competing risks. It employs a copula-based methodology, specifically the Archimedean copula, to simulate data, conduct survival analysis, and offer comparisons with other methods. This approach is detailed in the work of Adatorwovor et al. (2022) <doi:10.1515/ijb-2021-0016>.
Encoding: UTF-8
Imports: methods, Rcpp, Rmpfr, copula, gplots, ggplot2, viridis, sqldf, data.table, relsurv
LinkingTo: Rcpp, RcppArmadillo
Suggests: knitr, rmarkdown, markdown
VignetteBuilder: knitr
License: GPL (>= 3)
NeedsCompilation: yes
Packaged: 2025-01-19 06:03:35 UTC; Admin
Author: Reuben Adatorwovor [aut], Paul Little [cre]
Maintainer: Paul Little <pllittle321@gmail.com>
Repository: CRAN
Date/Publication: 2025-01-21 15:40:05 UTC

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New package bdsm with initial version 0.1.0
Package: bdsm
Title: Bayesian Dynamic Systems Modeling
Version: 0.1.0
Description: Implements methods for building and analyzing models based on panel data as described in the paper by Moral-Benito (2013, <doi:10.1080/07350015.2013.818003>). The package provides functions to estimate dynamic panel data models and analyze the results of the estimation.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Suggests: spelling, testthat (>= 3.0.0)
Imports: dplyr, magrittr, optimbase, parallel, rje, rlang, rootSolve, stats, tidyr, tidyselect
Depends: R (>= 2.10)
Language: en-US
NeedsCompilation: no
Packaged: 2025-01-18 20:49:43 UTC; marcindubel
Author: Mateusz Wyszynski [aut], Marcin Dubel [ctb, cre], Krzysztof Beck [ctb]
Maintainer: Marcin Dubel <marcindubel@gmail.com>
Repository: CRAN
Date/Publication: 2025-01-21 15:30:02 UTC

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New package streetscape with initial version 1.0.5
Package: streetscape
Title: Collect and Investigate Street Views for Urban Science
Version: 1.0.5
Description: A collection of functions to search and download street view imagery ('Mapilary' <https://www.mapillary.com/developer/api-documentation>) and to extract, quantify, and visualize visual features. Moreover, there are functions provided to generate Qualtrics survey in TXT format using the collection of street views for various research purposes.
License: GPL-3
Depends: R (>= 4.1)
Language: en-US
Encoding: UTF-8
LazyData: true
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
Imports: rlang, cli, methods, dplyr, sf, sp, httr, reticulate, osmdata, quickPWCR, mapview, SuperpixelImageSegmentation, OpenImageR, pbmcapply, parallelly
NeedsCompilation: no
Packaged: 2025-01-21 14:10:34 UTC; yangxiaohao
Author: Xiaohao Yang [aut, cre, cph], Derek Van Berkel [aut], Mark Lindquist [aut]
Maintainer: Xiaohao Yang <xiaohaoy@umich.edu>
Repository: CRAN
Date/Publication: 2025-01-21 14:50:03 UTC

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Package BAwiR updated to version 1.3.3 with previous version 1.3.2 dated 2024-01-09

Title: Analysis of Basketball Data
Description: Collection of tools to work with European basketball data. Functions available are related to friendly web scraping, data management and visualization. Data were obtained from <https://www.euroleaguebasketball.net/euroleague/>, <https://www.euroleaguebasketball.net/eurocup/> and <https://www.acb.com/>, following the instructions of their respectives robots.txt files, when available. Box score data are available for the three leagues. Play-by-play data are also available for the Spanish league. Methods for analysis include a population pyramid, 2D plots, circular plots of players' percentiles, plots of players' monthly/yearly stats, team heatmaps, team shooting plots, team four factors plots, cross-tables with the results of regular season games, maps of nationalities, combinations of lineups, possessions-related variables, timeouts, performance by periods, personal fouls and offensive rebounds. Please see Vinue (2020) <doi:10.1089/big.2018.0124> and Vinue (2024) [...truncated...]
Author: Guillermo Vinue [aut, cre]
Maintainer: Guillermo Vinue <guillermo.vinue@uv.es>

Diff between BAwiR versions 1.3.2 dated 2024-01-09 and 1.3.3 dated 2025-01-21

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 10 files changed, 955 insertions(+), 491 deletions(-)

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Package tinysnapshot updated to version 0.0.8 with previous version 0.0.7 dated 2025-01-13

Title: Snapshots for Unit Tests using the 'tinytest' Framework
Description: Snapshots for unit tests using the 'tinytest' framework for R. Includes expectations to test base R and 'ggplot2' plots as well as console output from print().
Author: Vincent Arel-Bundock [aut, cre, cph]
Maintainer: Vincent Arel-Bundock <vincent.arel-bundock@umontreal.ca>

Diff between tinysnapshot versions 0.0.7 dated 2025-01-13 and 0.0.8 dated 2025-01-21

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Package rjdworkspace updated to version 1.1.9 with previous version 1.1.8 dated 2025-01-09

Title: Manipulate 'JDemetra+' Workspaces
Description: Set of tools to manipulate the 'JDemetra+' workspaces. Based on the 'RJDemetra' package (which interfaces with version 2 of the 'JDemetra+' (<https://github.com/jdemetra/jdemetra-app>), the seasonal adjustment software officially recommended to the members of the European Statistical System (ESS) and the European System of Central Banks). This package provides access to additional workspace manipulation functions such as metadata manipulation, raw paths and wrangling of several workspaces simultaneously. These additional functionalities are useful as part of a CVS data production chain.
Author: Tanguy Barthelemy [aut, cre, art], Alain Quartier-la-Tente [aut] , Institut national de la statistique et des etudes economiques [cph] , Anna Smyk [aut]
Maintainer: Tanguy Barthelemy <tanguy.barthelemy@insee.fr>

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Package HDANOVA updated to version 0.8.2 with previous version 0.8.1 dated 2024-10-16

Title: High-Dimensional Analysis of Variance
Description: Functions and datasets to support Smilde, Marini, Westerhuis and Liland (2025, ISBN: 978-1-394-21121-0) "Analysis of Variance for High-Dimensional Data - Applications in Life, Food and Chemical Sciences". This implements and imports a collection of methods for HD-ANOVA data analysis with common interfaces, result- and plotting functions, multiple real data sets and four vignettes covering a range different applications.
Author: Kristian Hovde Liland [aut, cre]
Maintainer: Kristian Hovde Liland <kristian.liland@nmbu.no>

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Package bullseye updated to version 0.1.1 with previous version 0.1.0 dated 2024-08-28

Title: Visualising Multiple Pairwise Variable Correlations and Other Scores
Description: We provide a tidy data structure and visualisations for multiple or grouped variable correlations, general association measures scagnostics and other pairwise scores suitable for numerical, ordinal and nominal variables. Supported measures include distance correlation, maximal information, ace correlation, Kendall's tau, and polychoric correlation.
Author: Amit Chinwan [aut], Catherine Hurley [aut, cre]
Maintainer: Catherine Hurley <catherine.hurley@mu.ie>

Diff between bullseye versions 0.1.0 dated 2024-08-28 and 0.1.1 dated 2025-01-21

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Package animint2 updated to version 2025.1.21 with previous version 2024.11.2 dated 2024-11-05

Title: Animated Interactive Grammar of Graphics
Description: Functions are provided for defining animated, interactive data visualizations in R code, and rendering on a web page. The 2018 Journal of Computational and Graphical Statistics paper, <doi:10.1080/10618600.2018.1513367> describes the concepts implemented.
Author: Toby Hocking [aut, cre] , Biplab Sutradhar [ctb] , Hadley Wickham [aut] , Winston Chang [aut] , RStudio [cph] , Nicholas Lewin-Koh [aut] , Martin Maechler [aut] , Randall Prium [aut] , Susan VanderPlas [aut] , Carson Sievert [aut] , Kevin Ferris [aut [...truncated...]
Maintainer: Toby Hocking <toby.hocking@r-project.org>

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Package BIOMASS (with last version 2.1.11) was removed from CRAN

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

2023-09-29 2.1.11
2023-09-20 2.1.10

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Package forestdynR (with last version 0.0.1) was removed from CRAN

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

2024-11-19 0.0.1

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Package bplsr updated to version 1.0.3 with previous version 1.0.2 dated 2025-01-13

Title: Bayesian partial least squares regression
Description: Fits the Bayesian partial least squares regression model introduced in Urbas et al. (2024) <doi:10.1214/24-AOAS1947>. Suitable for univariate and multivariate regression with high-dimensional data.
Author: Szymon Urbas [aut, cre], Pierre Lovera [ctb], Robert Daly [ctb], Alan O'Riordan [ctb], Donagh Berry [ctb], Isobel Claire Gormley [ctb]
Maintainer: Szymon Urbas <szymon.urbas@mu.ie>

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Package alcyon updated to version 0.7.0 with previous version 0.6.0 dated 2024-12-22

Title: Spatial Network Analysis
Description: Interface package for 'sala', the spatial network analysis library from the 'depthmapX' software application. The R parts of the code are based on the 'rdepthmap' package. Allows for the analysis of urban and building-scale networks and provides metrics and methods usually found within the Space Syntax domain. Methods in this package are described by K. Al-Sayed, A. Turner, B. Hillier, S. Iida and A. Penn (2014) "Space Syntax methodology", and also by A. Turner (2004) <https://discovery.ucl.ac.uk/id/eprint/2651> "Depthmap 4: a researcher's handbook".
Author: Petros Koutsolampros [cre, aut] , Fani Kostourou [ctb] , Kimon Krenz [ctb] , Alasdair Turner [ctb] , Tasos Varoudis [ctb] , Christian Sailer [ctb] , Eva Friedrich [ctb] , University College London [fnd, cph] , Spacelab UK [fnd]
Maintainer: Petros Koutsolampros <r-devel@pklampros.net>

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Package rix updated to version 0.14.4 with previous version 0.14.3 dated 2025-01-10

Title: Reproducible Data Science Environments with 'Nix'
Description: Simplifies the creation of reproducible data science environments using the 'Nix' package manager, as described in Dolstra (2006) <ISBN 90-393-4130-3>. The included `rix()` function generates a complete description of the environment as a `default.nix` file, which can then be built using 'Nix'. This results in project specific software environments with pinned versions of R, packages, linked system dependencies, and other tools. Additional helpers make it easy to run R code in 'Nix' software environments for testing and production.
Author: Bruno Rodrigues [aut, cre] , Philipp Baumann [aut] , David Watkins [rev] for rOpenSci, see <https://github.com/ropensci/software-review/issues/625>), Jacob Wujiciak-Jens [rev] for rOpenSci, see <https://github.com/ropensci/software-review/issues/62 [...truncated...]
Maintainer: Bruno Rodrigues <bruno@brodrigues.co>

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Package HMDHFDplus updated to version 2.0.6 with previous version 2.0.3 dated 2023-06-20

Title: Read Human Mortality Database and Human Fertility Database Data from the Web
Description: Utilities for reading data from the Human Mortality Database (<https://www.mortality.org>), Human Fertility Database (<https://www.humanfertility.org>), and similar databases from the web or locally into an R session as data.frame objects. These are the two most widely used sources of demographic data to study basic demographic change, trends, and develop new demographic methods. Other supported databases at this time include the Human Fertility Collection (<https://www.fertilitydata.org>), The Japanese Mortality Database (<https://www.ipss.go.jp/p-toukei/JMD/index-en.html>), and the Canadian Human Mortality Database (<http://www.bdlc.umontreal.ca/chmd/>). Arguments and data are standardized.
Author: Tim Riffe [aut, cre], Carl Boe [aut], Jason Hilton [aut], Josh Goldstein [ctb], Stephen Holzman [ctb], Sam Hyun Yoo [ctb]
Maintainer: Tim Riffe <tim.riffe@gmail.com>

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Package GitStats updated to version 2.2.1 with previous version 2.2.0 dated 2025-01-14

Title: Standardized Git Repository Data
Description: Obtain standardized data from multiple 'Git' services, including 'GitHub' and 'GitLab'. Designed to be 'Git' service-agnostic, this package assists teams with activities spread across various 'Git' platforms by providing a unified way to access repository data.
Author: Maciej Banas [aut, cre], Kamil Koziej [aut], Karolina Marcinkowska [aut], Matt Secrest [aut]
Maintainer: Maciej Banas <banasmaciek@gmail.com>

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Package rvinecopulib updated to version 0.7.1.1.0 with previous version 0.6.3.1.1 dated 2023-02-23

Title: High Performance Algorithms for Vine Copula Modeling
Description: Provides an interface to 'vinecopulib', a C++ library for vine copula modeling. The 'rvinecopulib' package implements the core features of the popular 'VineCopula' package, in particular inference algorithms for both vine copula and bivariate copula models. Advantages over 'VineCopula' are a sleeker and more modern API, improved performances, especially in high dimensions, nonparametric and multi-parameter families, and the ability to model discrete variables. The 'rvinecopulib' package includes 'vinecopulib' as header-only C++ library (currently version 0.7.1). Thus users do not need to install 'vinecopulib' itself in order to use 'rvinecopulib'. Since their initial releases, 'vinecopulib' is licensed under the MIT License, and 'rvinecopulib' is licensed under the GNU GPL version 3.
Author: Thomas Nagler [aut, cre], Thibault Vatter [aut]
Maintainer: Thomas Nagler <info@vinecopulib.org>

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Package RBesT updated to version 1.8-1 with previous version 1.8-0 dated 2025-01-08

Title: R Bayesian Evidence Synthesis Tools
Description: Tool-set to support Bayesian evidence synthesis. This includes meta-analysis, (robust) prior derivation from historical data, operating characteristics and analysis (1 and 2 sample cases). Please refer to Weber et al. (2021) <doi:10.18637/jss.v100.i19> for details on applying this package while Neuenschwander et al. (2010) <doi:10.1177/1740774509356002> and Schmidli et al. (2014) <doi:10.1111/biom.12242> explain details on the methodology.
Author: Novartis Pharma AG [cph], Sebastian Weber [aut, cre], Beat Neuenschwander [ctb], Heinz Schmidli [ctb], Baldur Magnusson [ctb], Yue Li [ctb], Satrajit Roychoudhury [ctb], Lukas A. Widmer [ctb] , Trustees of Columbia University [cph]
Maintainer: Sebastian Weber <sebastian.weber@novartis.com>

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Package nestcolor updated to version 0.1.3 with previous version 0.1.2 dated 2023-06-09

Title: Colors for NEST Graphs
Description: Clinical reporting figures require to use consistent colors and configurations. As a part of the Roche open-source clinical reporting project, namely the NEST project, the 'nestcolor' package specifies the color code and default theme with specifying 'ggplot2' theme parameters. Users can easily customize color and theme settings before using the reset of NEST packages to ensure consistent settings in both static and interactive output at the downstream.
Author: Joe Zhu [aut, cre] , Emily de la Rua [aut], F. Hoffmann-La Roche AG [cph, fnd]
Maintainer: Joe Zhu <joe.zhu@roche.com>

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Package MultiscaleDTM updated to version 0.9.1 with previous version 0.9 dated 2025-01-17

Title: Multi-Scale Geomorphometric Terrain Attributes
Description: Calculates multi-scale geomorphometric terrain attributes from regularly gridded digital terrain models using a variable focal windows size (Ilich et al. (2023) <doi:10.1111/tgis.13067>).
Author: Alexander Ilich [aut, cre] , Vincent Lecours [aut], Benjamin Misiuk [aut], Steven Murawski [aut]
Maintainer: Alexander Ilich <ailich@usf.edu>

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Package JICO updated to version 0.1 with previous version 0.0 dated 2023-05-08

Title: Joint and Individual Regression
Description: An R package that implements the JICO algorithm [Wang, P., Wang, H., Li, Q., Shen, D., & Liu, Y. (2024). <Journal of Computational and Graphical Statistics, 33(3), 763-773>]. It aims at solving the multi-group regression problem. The algorithm decomposes the responses from multiple groups into shared and group-specific components, which are driven by low-rank approximations of joint and individual structures from the covariates respectively.
Author: Peiyao Wang [aut, cre]
Maintainer: Peiyao Wang <peiyaow76@gmail.com>

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Package BiodiversityR updated to version 2.17-1.1 with previous version 2.17-1 dated 2025-01-10

Title: Package for Community Ecology and Suitability Analysis
Description: Graphical User Interface (via the R-Commander) and utility functions (often based on the vegan package) for statistical analysis of biodiversity and ecological communities, including species accumulation curves, diversity indices, Renyi profiles, GLMs for analysis of species abundance and presence-absence, distance matrices, Mantel tests, and cluster, constrained and unconstrained ordination analysis. A book on biodiversity and community ecology analysis is available for free download from the website. In 2012, methods for (ensemble) suitability modelling and mapping were expanded in the package.
Author: Roeland Kindt [cre, aut]
Maintainer: Roeland Kindt <RoelandCEKindt@gmail.com>

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Package ergm updated to version 4.8.1 with previous version 4.7.5 dated 2024-11-06

Title: Fit, Simulate and Diagnose Exponential-Family Models for Networks
Description: An integrated set of tools to analyze and simulate networks based on exponential-family random graph models (ERGMs). 'ergm' is a part of the Statnet suite of packages for network analysis. See Hunter, Handcock, Butts, Goodreau, and Morris (2008) <doi:10.18637/jss.v024.i03> and Krivitsky, Hunter, Morris, and Klumb (2023) <doi:10.18637/jss.v105.i06>.
Author: Mark S. Handcock [aut], David R. Hunter [aut], Carter T. Butts [aut], Steven M. Goodreau [aut], Pavel N. Krivitsky [aut, cre] , Martina Morris [aut], Li Wang [ctb], Kirk Li [ctb], Skye Bender-deMoll [ctb], Chad Klumb [ctb], Michal Bojanowski [ctb] , [...truncated...]
Maintainer: Pavel N. Krivitsky <pavel@statnet.org>

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Package ProActive updated to version 0.1.0 with previous version 0.0.2 dated 2025-01-14

Title: Detect Elevations and Gaps in Mapped Sequencing Read Coverage
Description: Automate the detection of gaps and elevations in mapped sequencing read coverage using a 2D pattern-matching algorithm. 'ProActive' detects, characterizes and visualizes read coverage patterns in both genomes and metagenomes. Optionally, users may provide gene annotations associated with their genome or metagenome in the form of a .gff file. In this case, 'ProActive' will generate an additional output table containing the gene annotations found within the detected regions of gapped and elevated read coverage. Additionally, users can search for gene annotations of interest in the output read coverage plots.
Author: Jessie Maier [aut, cre, cph] , Manuel Kleiner [aut, ths]
Maintainer: Jessie Maier <jlmaier@ncsu.edu>

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New package BOJ with initial version 0.3.4
Package: BOJ
Title: Interface to Bank of Japan Statistics
Version: 0.3.4
Description: Provides an interface to Bank of Japan <https://www.boj.or.jp> statistics.
License: MIT + file LICENSE
URL: https://github.com/stefanangrick/BOJ
BugReports: https://github.com/stefanangrick/BOJ/issues
Suggests: knitr, rmarkdown, ggplot2, zoo
Imports: dplyr, readr, tidyr, tidyselect, rvest, xml2
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-01-02 08:05:31 UTC; qwerty
Author: Stefan Angrick [aut, cre, cph]
Maintainer: Stefan Angrick <contact@stefanangrick.net>
Repository: CRAN
Date/Publication: 2025-01-19 11:10:02 UTC

More information about BOJ at CRAN
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Package brickster updated to version 0.2.6 with previous version 0.2.5 dated 2024-11-13

Title: R Toolkit for 'Databricks'
Description: Collection of utilities that improve using 'Databricks' from R. Primarily functions that wrap specific 'Databricks' APIs (<https://docs.databricks.com/api>), 'RStudio' connection pane support, quality of life functions to make 'Databricks' simpler to use.
Author: Zac Davies [aut, cre], Rafi Kurlansik [aut], Databricks [cph, fnd]
Maintainer: Zac Davies <zac@databricks.com>

Diff between brickster versions 0.2.5 dated 2024-11-13 and 0.2.6 dated 2025-01-21

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Mon, 20 Jan 2025

Package Blend updated to version 0.1.1 with previous version 0.1.0 dated 2024-11-25

Title: Robust Bayesian Longitudinal Regularized Semiparametric Mixed Models
Description: Our recently developed fully robust Bayesian semiparametric mixed-effect model for high-dimensional longitudinal studies with heterogeneous observations can be implemented through this package. This model can distinguish between time-varying interactions and constant-effect-only cases to avoid model misspecifications. Facilitated by spike-and-slab priors, this model leads to superior performance in estimation, identification and statistical inference. In particular, robust Bayesian inferences in terms of valid Bayesian credible intervals on both parametric and nonparametric effects can be validated on finite samples. The Markov chain Monte Carlo algorithms of the proposed and alternative models are efficiently implemented in 'C++'.
Author: Kun Fan [aut, cre], Cen Wu [aut]
Maintainer: Kun Fan <kfan@ksu.edu>

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Package RFCCA (with last version 2.0.0) was removed from CRAN

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

2024-02-08 2.0.0

Permanent link
Package nascaR.data updated to version 2.1.0 with previous version 1.0.0 dated 2024-07-09

Title: NASCAR Race Data
Description: A collection of NASCAR race, driver, owner and manufacturer data across the three major NASCAR divisions: NASCAR Cup Series, NASCAR Xfinity Series, and NASCAR Craftsman Truck Series. The curated data begins with the 1949 season and extends through the end of the 2024 season. Explore race, season, or career performance for drivers, teams, and manufacturers throughout NASCAR's history. Data was sourced with permission from DriverAverages.com.
Author: Kyle Grealis [aut, cre] , Gabriel Odom [ctb]
Maintainer: Kyle Grealis <kylegrealis@icloud.com>

Diff between nascaR.data versions 1.0.0 dated 2024-07-09 and 2.1.0 dated 2025-01-20

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Package smcfcs updated to version 1.9.2 with previous version 1.9.1 dated 2024-12-04

Title: Multiple Imputation of Covariates by Substantive Model Compatible Fully Conditional Specification
Description: Implements multiple imputation of missing covariates by Substantive Model Compatible Fully Conditional Specification. This is a modification of the popular FCS/chained equations multiple imputation approach, and allows imputation of missing covariate values from models which are compatible with the user specified substantive model.
Author: Jonathan Bartlett [aut, cre], Ruth Keogh [aut], Edouard F. Bonneville [aut], Claus Thorn Ekstroem [ctb]
Maintainer: Jonathan Bartlett <jonathan.bartlett1@lshtm.ac.uk>

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Package SurrogateParadoxTest updated to version 2.0 with previous version 1.0 dated 2024-12-08

Title: Empirical Testing of Surrogate Paradox Assumptions
Description: Provides functions to nonparametrically assess assumptions necessary to prevent the surrogate paradox through hypothesis tests of stochastic dominance, monotonicity of regression functions, and non-negative residual treatment effects. More details are available in Hsiao et al 2025 (under review). A tutorial for this package can be found at <https://laylaparast.com/home/SurrogateParadoxTest.html>.
Author: Emily Hsiao [aut, cre]
Maintainer: Emily Hsiao <ehsiao@utexas.edu>

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Package spam updated to version 2.11-1 with previous version 2.11-0 dated 2024-10-03

Title: SPArse Matrix
Description: Set of functions for sparse matrix algebra. Differences with other sparse matrix packages are: (1) we only support (essentially) one sparse matrix format, (2) based on transparent and simple structure(s), (3) tailored for MCMC calculations within G(M)RF. (4) and it is fast and scalable (with the extension package spam64). Documentation about 'spam' is provided by vignettes included in this package, see also Furrer and Sain (2010) <doi:10.18637/jss.v036.i10>; see 'citation("spam")' for details.
Author: Reinhard Furrer [aut, cre] , Florian Gerber [aut] , Roman Flury [aut] , Daniel Gerber [ctb], Kaspar Moesinger [ctb], Annina Cincera [ctb], Youcef Saad [ctb] , Esmond G. Ng [ctb] , Barry W. Peyton [ctb] , Joseph W.H. Liu [ctb] , Alan D. George [ctb] , [...truncated...]
Maintainer: Reinhard Furrer <reinhard.furrer@math.uzh.ch>

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Package multiblock updated to version 0.8.9.0 with previous version 0.8.8.2 dated 2024-09-16

Title: Multiblock Data Fusion in Statistics and Machine Learning
Description: Functions and datasets to support Smilde, Næs and Liland (2021, ISBN: 978-1-119-60096-1) "Multiblock Data Fusion in Statistics and Machine Learning - Applications in the Natural and Life Sciences". This implements and imports a large collection of methods for multiblock data analysis with common interfaces, result- and plotting functions, several real data sets and six vignettes covering a range different applications.
Author: Kristian Hovde Liland [aut, cre] , Solve Saeboe [ctb], Stefan Schrunner [rev]
Maintainer: Kristian Hovde Liland <kristian.liland@nmbu.no>

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Package ilabelled updated to version 1.0.1 with previous version 1.0.0 dated 2024-08-21

Title: Simple Handling of Labelled Data
Description: Simple handling of survey data. Smart handling of meta-information like e.g. variable-labels value-labels and scale-levels. Easy access and validation of meta-information. Useage of value labels and values respectively for subsetting and recoding data.
Author: Christof Lewerenz [aut, cre]
Maintainer: Christof Lewerenz <christof.lewerenz@gmx.net>

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Package EgoCor updated to version 1.3.0 with previous version 1.2.0 dated 2024-03-28

Title: Simple Presentation of Estimated Exponential Semi-Variograms
Description: User friendly interface based on the R package 'gstat' to fit exponential parametric models to empirical semi-variograms in order to model the spatial correlation structure of health data. Geo-located health outcomes of survey participants may be used to model spatial effects on health in an ego-centred approach. The package contains a range of functions to help explore the spatial structure of the data as well as visualize the fit of exponential models for various metaparameter combinations with respect to the number of lag intervals and maximal distance. Furthermore, the outcome of interest can be adjusted for covariates by fitting a linear regression in a preliminary step before the semi-variogram fitting process.
Author: Julia Dyck [aut, cre], Odile Sauzet [aut], Jan-Ole Koslik [aut]
Maintainer: Julia Dyck <j.dyck@uni-bielefeld.de>

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Package DTSg updated to version 2.0.0 with previous version 1.1.3 dated 2023-09-27

Title: A Class for Working with Time Series Data Based on 'data.table' and 'R6' with Largely Optional Reference Semantics
Description: Basic time series functionalities such as listing of missing values, application of arbitrary aggregation as well as rolling (asymmetric) window functions and automatic detection of periodicity. As it is mainly based on 'data.table', it is fast and (in combination with the 'R6' package) offers reference semantics. In addition to its native R6 interface, it provides an S3 interface for those who prefer the latter. Finally yet importantly, its functional approach allows for incorporating functionalities from many other packages.
Author: Gerold Hepp [aut, cre]
Maintainer: Gerold Hepp <gisler@hepp.cc>

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Package QGglmm updated to version 0.8.0 with previous version 0.7.4 dated 2020-01-07

Title: Estimate Quantitative Genetics Parameters from Generalised Linear Mixed Models
Description: Compute various quantitative genetics parameters from a Generalised Linear Mixed Model (GLMM) estimates. Especially, it yields the observed phenotypic mean, phenotypic variance and additive genetic variance.
Author: Pierre de Villemereuil [aut, cre]
Maintainer: Pierre de Villemereuil <pierre.de-villemereuil@mnhn.fr>

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 man/QGparams.Rd           |   17 --
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 man/QGvcov.Rd             |    8 -
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New package micer with initial version 0.2.0
Package: micer
Title: Map Image Classification Efficacy
Version: 0.2.0
Date: 2025-01-05
Maintainer: Aaron Maxwell <Aaron.Maxwell@mail.wvu.edu>
Description: Map image classification efficacy (MICE) adjusts the accuracy rate relative to a random classification baseline (Shao et al. (2021)<doi:10.1109/ACCESS.2021.3116526> and Tang et al. (2024)<doi:10.1109/TGRS.2024.3446950>). Only the proportions from the reference labels are considered, as opposed to the proportions from the reference and predictions, as is the case for the Kappa statistic. This package offers means to calculate MICE and adjusted versions of class-level user's accuracy (i.e., precision) and producer's accuracy (i.e., recall) and F1-scores. Class-level metrics are aggregated using macro-averaging. Functions are also made available to estimate confidence intervals using bootstrapping and statistically compare two classification results.
Depends: R (>= 2.10)
Imports: dplyr (>= 1.1.3),
License: GPL (>= 3)
URL: https://github.com/maxwell-geospatial/micer
BugReports: https://github.com/maxwell-geospatial/micer/issues
NeedsCompilation: no
Encoding: UTF-8
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Packaged: 2025-01-18 02:30:32 UTC; vidcg
Author: Aaron Maxwell [aut, cre, cph], Sarah Farhadpour [aut]
Repository: CRAN
Date/Publication: 2025-01-20 21:00:01 UTC

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Package fastDummies updated to version 1.7.5 with previous version 1.7.4 dated 2024-08-16

Title: Fast Creation of Dummy (Binary) Columns and Rows from Categorical Variables
Description: Creates dummy columns from columns that have categorical variables (character or factor types). You can also specify which columns to make dummies out of, or which columns to ignore. Also creates dummy rows from character, factor, and Date columns. This package provides a significant speed increase from creating dummy variables through model.matrix().
Author: Jacob Kaplan [aut, cre] , Benjamin Schlegel [ctb]
Maintainer: Jacob Kaplan <jkkaplan6@gmail.com>

Diff between fastDummies versions 1.7.4 dated 2024-08-16 and 1.7.5 dated 2025-01-20

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Package RISCA updated to version 1.0.6 with previous version 1.0.5 dated 2024-03-22

Title: Causal Inference and Prediction in Cohort-Based Analyses
Description: Numerous functions for cohort-based analyses, either for prediction or causal inference. For causal inference, it includes Inverse Probability Weighting and G-computation for marginal estimation of an exposure effect when confounders are expected. We deal with binary outcomes, times-to-events, competing events, and multi-state data. For multistate data, semi-Markov model with interval censoring may be considered, and we propose the possibility to consider the excess of mortality related to the disease compared to reference lifetime tables. For predictive studies, we propose a set of functions to estimate time-dependent receiver operating characteristic (ROC) curves with the possible consideration of right-censoring times-to-events or the presence of confounders. Finally, several functions are available to assess time-dependent ROC curves or survival curves from aggregated data.
Author: Yohann Foucher [aut, cre] , Florent Le Borgne [aut], Arthur Chatton [aut]
Maintainer: Yohann Foucher <Yohann.Foucher@univ-poitiers.fr>

Diff between RISCA versions 1.0.5 dated 2024-03-22 and 1.0.6 dated 2025-01-20

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New package flexFitR with initial version 1.0.0
Package: flexFitR
Title: Flexible Non-Linear Least Square Model Fitting
Version: 1.0.0
Maintainer: Johan Aparicio <aparicioarce@wisc.edu>
Description: Provides tools for flexible non-linear least squares model fitting using general-purpose optimization techniques. The package supports a variety of optimization algorithms, including those provided by the 'optimx' package, making it suitable for handling complex non-linear models. Features include parallel processing support via the 'future' and 'foreach' packages, comprehensive model diagnostics, and visualization capabilities. Implements methods described in Nash and Varadhan (2011, <doi:10.18637/jss.v043.i09>).
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10)
Author: Johan Aparicio [cre, aut], Jeffrey Endelman [aut], University of Wisconsin Madison [cph]
Imports: agriutilities, doFuture, dplyr, foreach, future, ggplot2, numDeriv, optimx, progressr, rlang, subplex, tibble, tidyr
URL: https://apariciojohan.github.io/flexFitR/, https://github.com/AparicioJohan/flexFitR
BugReports: https://github.com/AparicioJohan/flexFitR/issues
Suggests: BB, dfoptim, ggpubr, kableExtra, knitr, lbfgsb3c, marqLevAlg, purrr, rmarkdown, ucminf
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-01-17 19:54:01 UTC; johan
Repository: CRAN
Date/Publication: 2025-01-20 17:01:56 UTC

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New package sysAgNPs with initial version 1.0.0
Package: sysAgNPs
Title: Systematic Quantification of AgNPs to Unleash their Potential for Applicability
Version: 1.0.0
Description: There is variation across AgNPs due to differences in characterization techniques and testing metrics employed in studies. To address this problem, we have developed a systematic evaluation framework called 'sysAgNPs'. Within this framework, Distribution Entropy (DE) is utilized to measure the uncertainty of feature categories of AgNPs, Proclivity Entropy (PE) assesses the preference of these categories, and Combination Entropy (CE) quantifies the uncertainty of feature combinations of AgNPs. Additionally, a Markov chain model is employed to examine the relationships among the sub-features of AgNPs and to determine a Transition Score (TS) scoring standard that is based on steady-state probabilities. The 'sysAgNPs' framework provides metrics for evaluating AgNPs, which helps to unravel their complexity and facilitates effective comparisons among different AgNPs, thereby advancing the scientific research and application of these AgNPs.
License: GPL (>= 3)
Language: en-US
Encoding: UTF-8
LazyData: true
URL: https://github.com/xitingwang-ida/sysAgNPs
Imports: dplyr, expm, ggplot2, ggpubr, magrittr, patchwork, purrr, rio, tibble, tidyr, rlang, RColorBrewer, forcats, stats
NeedsCompilation: no
Packaged: 2025-01-17 14:46:13 UTC; pc
Author: Xiting Wang [aut, cre] , Longfei Mao [aut, cph] , Jiamin Hu [ctb]
Maintainer: Xiting Wang <XitingWang2023@outlook.com>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2025-01-20 16:20:02 UTC

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New package SLOS with initial version 1.0.0
Package: SLOS
Title: ICU Length of Stay Prediction and Efficiency Evaluation
Version: 1.0.0
Maintainer: Joana da Matta <joana.damatta02@gmail.com>
Description: Provides tools for predicting ICU length of stay and assessing ICU efficiency. It is based on the methodologies proposed by Peres et al. (2022, 2023), which utilize data-driven approaches for modeling and validation, offering insights into ICU performance and patient outcomes. References: Peres et al. (2022)<https://pubmed.ncbi.nlm.nih.gov/35988701/>, Peres et al. (2023)<https://pubmed.ncbi.nlm.nih.gov/37922007/>. More information: <https://github.com/igor-peres/ICU-Length-of-Stay-Prediction>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: httr, MLmetrics, ems, dplyr, ggplot2, magrittr, caretEnsemble, ranger
Suggests: testthat
NeedsCompilation: no
Packaged: 2025-01-17 12:12:52 UTC; jodamatta
Depends: R (>= 3.5.0)
Author: Igor Peres [aut], Joana da Matta [cre]
Repository: CRAN
Date/Publication: 2025-01-20 16:02:03 UTC

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New package rollupTree with initial version 0.1.0
Package: rollupTree
Title: Perform Recursive Computations
Version: 0.1.0
Description: Mass rollup for a Bill of Materials is an example of a class of computations in which elements are arranged in a tree structure and some property of each element is a computed function of the corresponding values of its child elements. Leaf elements, i.e., those with no children, have values assigned. In many cases, the combining function is simple arithmetic sum; in other cases (e.g., mass properties), the combiner may involve other information such as the geometric relationship between parent and child, or statistical relations such as root-sum-of-squares (RSS). This package implements a general function for such problems. It is adapted to specific recursive computations by functional programming techniques; the caller passes a function as the update parameter to rollup() (or, at a lower level, passes functions as the get, set, combine, and override parameters to update_prop()) at runtime to specify the desired operations. The implementation relies on graph-theoretic algorithms from [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
Imports: igraph
Depends: R (>= 3.5)
LazyData: true
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://jsjuni.github.io/rollupTree/, https://github.com/jsjuni/rollupTree
BugReports: https://github.com/jsjuni/rollupTree/issues
NeedsCompilation: no
Packaged: 2025-01-17 14:40:46 UTC; sjenkins
Author: James Steven Jenkins [aut, cre, cph]
Maintainer: James Steven Jenkins <sjenkins@studioj.us>
Repository: CRAN
Date/Publication: 2025-01-20 16:20:05 UTC

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Package marquee updated to version 1.0.0 with previous version 0.1.0 dated 2024-05-28

Title: Markdown Parser and Renderer for R Graphics
Description: Provides the mean to parse and render markdown text with grid along with facilities to define the styling of the text.
Author: Thomas Lin Pedersen [aut, cre] , Martin Mitas [aut] , Posit Software, PBC [cph, fnd]
Maintainer: Thomas Lin Pedersen <thomas.pedersen@posit.co>

Diff between marquee versions 0.1.0 dated 2024-05-28 and 1.0.0 dated 2025-01-20

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 49 files changed, 904 insertions(+), 516 deletions(-)

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New package gomp with initial version 1.0
Package: gomp
Title: The gamma-OMP Feature Selection Algorithm
Version: 1.0
Date: 2025-01-11
Author: Michail Tsagris [aut, cre]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>
Depends: R (>= 4.0)
Imports: doParallel, foreach, Hmisc, MASS, nnet, ordinal, parallel, quantreg, Rfast, Rfast2, stats, survival
Suggests: dcorVS
Description: The gamma-Orthogonal Matching Pursuit (gamma-OMP) is a recently suggested modification of the OMP feature selection algorithm for a wide range of response variables. The package offers many alternative regression models, such linear, robust, survival, multivariate etc., including k-fold cross-validation. References: Tsagris M., Papadovasilakis Z., Lakiotaki K. and Tsamardinos I. (2018). "Efficient feature selection on gene expression data: Which algorithm to use?" BioRxiv. <doi:10.1101/431734>. Tsagris M., Papadovasilakis Z., Lakiotaki K. and Tsamardinos I. (2022). "The gamma-OMP algorithm for feature selection with application to gene expression data". IEEE/ACM Transactions on Computational Biology and Bioinformatics 19(2): 1214--1224. <doi:10.1109/TCBB.2020.3029952>.
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2025-01-11 11:49:10 UTC; mtsag
Repository: CRAN
Date/Publication: 2025-01-20 16:02:00 UTC

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New package EHRmuse with initial version 0.0.2.0
Package: EHRmuse
Title: Multi-Cohort Selection Bias Correction using IPW and AIPW Methods
Version: 0.0.2.0
Description: Comprehensive toolkit for addressing selection bias in binary disease models across diverse non-probability samples, each with unique selection mechanisms. It utilizes Inverse Probability Weighting (IPW) and Augmented Inverse Probability Weighting (AIPW) methods to reduce selection bias effectively in multiple non-probability cohorts by integrating data from either individual-level or summary-level external sources. The package also provides a variety of variance estimation techniques. Please refer to Kundu et al. <doi:10.48550/arXiv.2412.00228>.
License: GPL (>= 2)
URL: https://github.com/Ritoban1/EHRmuse
BugReports: https://github.com/Ritoban1/EHRmuse/issues
Depends: R (>= 4.0.0)
Imports: dplyr (>= 1.0.0), magrittr, MASS, nleqslv (>= 3.3.2), xgboost (>= 1.4.1), survey (>= 4.1.0), stats, nnet (>= 7.3-17), simplexreg (>= 0.1.6)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-01-17 14:47:35 UTC; mk
Author: Ritoban Kundu [aut], Michael Kleinsasser [cre]
Maintainer: Michael Kleinsasser <biostat-cran-manager@umich.edu>
Repository: CRAN
Date/Publication: 2025-01-20 16:20:13 UTC

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New package ComBatFamQC with initial version 1.0.2
Package: ComBatFamQC
Title: Comprehensive Batch Effect Diagnostics and Harmonization
Version: 1.0.2
Description: Provides a comprehensive framework for batch effect diagnostics, harmonization, and post-harmonization downstream analysis. Features include interactive visualization tools, robust statistical tests, and a range of harmonization techniques. Additionally, 'ComBatFamQC' enables the creation of life-span age trend plots with estimated age-adjusted centiles and facilitates the generation of covariate-corrected residuals for analytical purposes. Methods for harmonization are based on approaches described in Johnson et al., (2007) <doi:10.1093/biostatistics/kxj037>, Beer et al., (2020) <doi:10.1016/j.neuroimage.2020.117129>, Pomponio et al., (2020) <doi:10.1016/j.neuroimage.2019.116450>, and Chen et al., (2021) <doi:10.1002/hbm.25688>.
License: MIT + file LICENSE
URL: https://github.com/Zheng206/ComBatFamQC, https://zheng206.github.io/ComBatQC-Web/
BugReports: https://github.com/Zheng206/ComBatFamQC/issues
Encoding: UTF-8
Imports: tidyr, dplyr, magrittr, ggplot2, DT, shiny, car, broom, pbkrtest, parallel, Rtsne, MDMR, gamlss, lme4, mgcv, bslib, shinydashboard, methods, gamlss.dist, invgamma, openxlsx
Depends: R (>= 3.5.0)
LazyData: true
Suggests: knitr, rmarkdown, devtools, testthat (>= 3.0.0), remotes, shinytest2, plotly, quarto, spelling
VignetteBuilder: knitr
Language: en-US
NeedsCompilation: no
Packaged: 2025-01-17 22:55:37 UTC; zhengren
Author: Zheng Ren [aut, cre, cph] , Andrew Chen [aut, cph] , Elizabeth Horwath [ctb]
Maintainer: Zheng Ren <zren1422@gmail.com>
Repository: CRAN
Date/Publication: 2025-01-20 16:44:12 UTC

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New package CoDaLoMic with initial version 0.1.0
Package: CoDaLoMic
Title: Compositional Models to Longitudinal Microbiome Data
Version: 0.1.0
Author: Irene Creus Marti [aut, cre]
Maintainer: Irene Creus Marti <ircrmar@mat.upv.es>
Description: Implementation of models to analyse compositional microbiome time series taking into account the interaction between groups of bacteria. The models implemented are described in Creus-Martí et al (2018, ISBN:978-84-09-07541-6), Creus-Martí et al (2021) <doi:10.1155/2021/9951817> and Creus-Martí et al (2022) <doi:10.1155/2022/4907527>.
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: xtable, ggplot2, reshape2, compositions, MASS, broom, R2jags, ggbiplot, zCompositions
Suggests: testthat (>= 3.0.0), gtools, knitr, parallel, base
NeedsCompilation: no
Packaged: 2025-01-17 18:53:04 UTC; IRENE
Repository: CRAN
Date/Publication: 2025-01-20 16:44:16 UTC

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New package AMISforInfectiousDiseases with initial version 0.1.0
Package: AMISforInfectiousDiseases
Title: Implement the AMIS Algorithm for Infectious Disease Models
Version: 0.1.0
Description: Implements the Adaptive Multiple Importance Sampling (AMIS) algorithm, as described by Retkute et al. (2021, <doi:10.1214/21-AOAS1486>), to estimate key epidemiological parameters by combining outputs from a geostatistical model of infectious diseases (such as prevalence, incidence, or relative risk) with a disease transmission model. Utilising the resulting posterior distributions, the package enables forward projections at the local level.
Acknowledgements: This work was supported by the NTD Modelling Consortium grant INV-030046, funded by the Bill & Melinda Gates Foundation.
Encoding: UTF-8
Imports: Hmisc, mclust, mnormt, Rcpp, weights
LinkingTo: Rcpp, RcppArmadillo
Depends: R (>= 4.1)
Suggests: knitr, ggplot2, patchwork, rmarkdown, sf, viridis
VignetteBuilder: knitr
URL: https://github.com/drsimonspencer/AMISforInfectiousDiseases-dev
BugReports: https://github.com/drsimonspencer/AMISforInfectiousDiseases-dev/issues
License: MIT + file LICENSE
NeedsCompilation: yes
Packaged: 2025-01-17 05:58:43 UTC; evandro
Author: Evandro Konzen [aut] , Renata Retkute [aut] , Raiha Browning [aut] , Thilbault Lestang [aut], Simon Spencer [aut, cre] , University of Warwick [cph], Oxford Research Software Engineering [cph]
Maintainer: Simon Spencer <s.e.f.spencer@warwick.ac.uk>
Repository: CRAN
Date/Publication: 2025-01-20 16:02:05 UTC

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New package admiralmetabolic with initial version 0.1.0
Package: admiralmetabolic
Title: Metabolism Extension Package for ADaM in 'R' Asset Library
Version: 0.1.0
Description: A toolbox for programming Clinical Data Standards Interchange 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 focusing on the metabolism therapeutic area.
License: Apache License (>= 2)
URL: https://pharmaverse.github.io/admiralmetabolic/, https://github.com/pharmaverse/admiralmetabolic
BugReports: https://github.com/pharmaverse/admiralmetabolic/issues
Depends: R (>= 4.1)
Imports: admiral (>= 1.1.1), admiraldev (>= 1.0.0), cli (>= 3.6.2), dplyr (>= 0.8.4), stringr (>= 1.4.0), lifecycle (>= 0.1.0), lubridate (>= 1.7.4), magrittr (>= 1.5), purrr (>= 0.3.3), rlang (>= 0.4.4), tidyselect (>= 1.0.0)
Suggests: diffdf, DT, htmltools, knitr, methods, pharmaversesdtm (>= 1.0.0), rmarkdown, testthat (>= 3.0.0), tibble, usethis (>= 2.2.3)
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
LazyData: true
NeedsCompilation: no
Packaged: 2025-01-17 13:57:46 UTC; IAKD
Author: Anders Askeland [aut, cre] , Andrii Yurovskyi [aut] , Kathrin Flunkert [aut], Edoardo Mancini [aut] , Shunsuke Goto [aut], Siddhesh Pujari [aut] , Sonali Das [aut], Olga Starostecka [aut], Vang Le-Quy [aut]
Maintainer: Anders Askeland <iakd@novonordisk.com>
Repository: CRAN
Date/Publication: 2025-01-20 16:20:09 UTC

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Package BOJ (with last version 0.3.4) was removed from CRAN

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

2025-01-19 0.3.4
2022-01-04 0.3
2021-12-11 0.2.4
2021-02-23 0.2.3
2020-05-25 0.2.2

Permanent link
Package relsurv updated to version 2.3-1 with previous version 2.2-9 dated 2022-12-22

Title: Relative Survival
Description: Contains functions for analysing relative survival data, including nonparametric estimators of net (marginal relative) survival, relative survival ratio, crude mortality, methods for fitting and checking additive and multiplicative regression models, transformation approach, methods for dealing with population mortality tables. Work has been described in Pohar Perme, Pavlic (2018) <doi:10.18637/jss.v087.i08>.
Author: Maja Pohar Perme [aut], Damjan Manevski [aut, cre]
Maintainer: Damjan Manevski <damjan.manevski@mf.uni-lj.si>

Diff between relsurv versions 2.2-9 dated 2022-12-22 and 2.3-1 dated 2025-01-20

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Package AccelStab updated to version 2.1.1 with previous version 2.1.0 dated 2025-01-08

Title: Accelerated Stability Kinetic Modelling
Description: Estimate the Šesták–Berggren kinetic model (degradation model) from experimental data. A A closed-form (analytic) solution to the degradation model is implemented as a non-linear fit, allowing for the extrapolation of the degradation of a drug product - both in time and temperature. Parametric bootstrap, with kinetic parameters drawn from the multivariate t-distribution, and analytical formulae (the delta method) are available options to calculate the confidence and prediction intervals. The results (modelling, extrapolations and statistical intervals) can be visualised with multiple plots. The examples illustrate the accelerated stability modelling in drugs and vaccines development.
Author: Bernard G Franq [aut, cph], Ben Wells [cre], Alex Ball [ctb], Daniel Williams [ctb]
Maintainer: Ben Wells <wellsbenjy@gmail.com>

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Package TSVC updated to version 1.7.2 with previous version 1.5.3 dated 2023-10-17

Title: Tree-Structured Modelling of Varying Coefficients
Description: Fitting tree-structured varying coefficient models (Berger et al. (2019), <doi:10.1007/s11222-018-9804-8>). Simultaneous detection of covariates with varying coefficients and effect modifiers that induce varying coefficients if they are present.
Author: Moritz Berger [aut, cre]
Maintainer: Moritz Berger <moritz.berger@imbie.uni-bonn.de>

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Package modsem updated to version 1.0.6 with previous version 1.0.5 dated 2024-12-16

Title: Latent Interaction (and Moderation) Analysis in Structural Equation Models (SEM)
Description: Estimation of interaction (i.e., moderation) effects between latent variables in structural equation models (SEM). The supported methods are: The constrained approach (Algina & Moulder, 2001). The unconstrained approach (Marsh et al., 2004). The residual centering approach (Little et al., 2006). The double centering approach (Lin et al., 2010). The latent moderated structural equations (LMS) approach (Klein & Moosbrugger, 2000). The quasi-maximum likelihood (QML) approach (Klein & Muthén, 2007) (temporarily unavailable) The constrained- unconstrained, residual- and double centering- approaches are estimated via 'lavaan' (Rosseel, 2012), whilst the LMS- and QML- approaches are estimated via 'modsem' it self. Alternatively model can be estimated via 'Mplus' (Muthén & Muthén, 1998-2017). References: Algina, J., & Moulder, B. C. (2001). <doi:10.1207/S15328007SEM0801_3>. "A note on estimating the Jöreskog-Yang model for latent variable interaction using 'LISREL' 8. [...truncated...]
Author: Kjell Solem Slupphaug [aut, cre] , Mehmet Mehmetoglu [ctb] , Matthias Mittner [ctb]
Maintainer: Kjell Solem Slupphaug <slupphaugkjell@gmail.com>

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Package flowchart updated to version 0.7.0 with previous version 0.6.0 dated 2024-11-08

Title: Tidy Flowchart Generator
Description: Creates participant flow diagrams directly from a dataframe. Representing the flow of participants through each stage of a study, especially in clinical trials, is essential to assess the generalisability and validity of the results. This package provides a set of functions that can be combined with a pipe operator to create all kinds of flowcharts from a data frame in an easy way.
Author: Pau Satorra [aut, cre] , Joao Carmezim [aut] , Natalia Pallares [aut] , Cristian Tebe [aut] , Kenneth Taylor [ctb]
Maintainer: Pau Satorra <psatorra@igtp.cat>

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Package laminr updated to version 0.4.0 with previous version 0.3.1 dated 2025-01-08

Title: Client for 'LaminDB'
Description: Interact with 'LaminDB'. 'LaminDB' is an open-source data framework for biology. This package allows you to query and download data from 'LaminDB' instances.
Author: Robrecht Cannoodt [aut, cre] , Luke Zappia [aut] , Data Intuitive [aut], Lamin Labs [aut, cph]
Maintainer: Robrecht Cannoodt <robrecht@data-intuitive.com>

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Package diemr updated to version 1.4.3 with previous version 1.4.2 dated 2024-12-02

Title: Diagnostic Index Expectation Maximisation in R
Description: Likelihood-based genome polarisation finds which alleles of genomic markers belong to which side of the barrier. Co-estimates which individuals belong to either side of the barrier and barrier strength. Uses expectation maximisation in likelihood framework. The method is described in Baird et al. (2023) <doi:10.1111/2041-210X.14010>.
Author: Natalia Martinkova [aut, cre] , Stuart Baird [aut]
Maintainer: Natalia Martinkova <martinkova@ivb.cz>

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Package arealDB updated to version 0.9.4 with previous version 0.6.3 dated 2023-07-03

Title: Harmonise and Integrate Heterogeneous Areal Data
Description: Many relevant applications in the environmental and socioeconomic sciences use areal data, such as biodiversity checklists, agricultural statistics, or socioeconomic surveys. For applications that surpass the spatial, temporal or thematic scope of any single data source, data must be integrated from several heterogeneous sources. Inconsistent concepts, definitions, or messy data tables make this a tedious and error-prone process. 'arealDB' tackles those problems and helps the user to integrate a harmonised databases of areal data. Read the paper at Ehrmann, Seppelt & Meyer (2020) <doi:10.1016/j.envsoft.2020.104799>.
Author: Steffen Ehrmann [aut, cre] , Arne Ruemmler [aut, ctb] , Felipe Melges [ctb] , Carsten Meyer [aut]
Maintainer: Steffen Ehrmann <steffen.ehrmann@posteo.de>

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Package spdep updated to version 1.3-10 with previous version 1.3-9 dated 2025-01-16

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

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Package anticlust updated to version 0.8.9-1 with previous version 0.8.9 dated 2025-01-17

Title: Subset Partitioning via Anticlustering
Description: The method of anticlustering partitions a pool of elements into groups (i.e., anticlusters) with the goal of maximizing between-group similarity or within-group heterogeneity. The anticlustering approach thereby reverses the logic of cluster analysis that strives for high within-group homogeneity and clear separation between groups. Computationally, anticlustering is accomplished by maximizing instead of minimizing a clustering objective function, such as the intra-cluster variance (used in k-means clustering) or the sum of pairwise distances within clusters. The main function anticlustering() gives access to optimal and heuristic anticlustering methods described in Papenberg and Klau (2021; <doi:10.1037/met0000301>), Brusco et al. (2020; <doi:10.1111/bmsp.12186>), and Papenberg (2024; <doi:10.1111/bmsp.12315>). The optimal algorithms require that an integer linear programming solver is installed. This package will install 'lpSolve' (<https://cran.r-project.org/p [...truncated...]
Author: Martin Papenberg [aut, cre] , Meik Michalke [ctb] , Gunnar W. Klau [ths], Juliane V. Nagel [ctb] , Martin Breuer [ctb] , Marie L. Schaper [ctb] , Max Diekhoff [ctb] , Hannah Hengelbrock [ctb]
Maintainer: Martin Papenberg <martin.papenberg@hhu.de>

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Package spNetwork updated to version 0.4.4.5 with previous version 0.4.4.4 dated 2025-01-14

Title: Spatial Analysis on Network
Description: Perform spatial analysis on network. Implement several methods for spatial analysis on network: Network Kernel Density estimation, building of spatial matrices based on network distance ('listw' objects from 'spdep' package), K functions estimation for point pattern analysis on network, k nearest neighbours on network, reachable area calculation, and graph generation References: Okabe et al (2019) <doi:10.1080/13658810802475491>; Okabe et al (2012, ISBN:978-0470770818);Baddeley et al (2015, ISBN:9781482210200).
Author: Jeremy Gelb [aut, cre] , Philippe Apparicio [ctb]
Maintainer: Jeremy Gelb <jeremy.gelb@ucs.inrs.ca>

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Package metRology updated to version 0.9-29-2 with previous version 0.9-28-1 dated 2018-09-10

Title: Support for Metrological Applications
Description: Provides classes and calculation and plotting functions for metrology applications, including measurement uncertainty estimation and inter-laboratory metrology comparison studies.
Author: Stephen L R Ellison. [aut], Stephen L R Ellison [cre]
Maintainer: Stephen L R Ellison <s.ellison@lgcgroup.com>

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Package kstIO updated to version 0.4-1 with previous version 0.4-0 dated 2023-01-26

Title: Knowledge Space Theory Input/Output
Description: Knowledge space theory by Doignon and Falmagne (1999) <doi:10.1007/978-3-642-58625-5> is a set- and order-theoretical framework which proposes mathematical formalisms to operationalize knowledge structures in a particular domain. The 'kstIO' package provides basic functionalities to read and write KST data from/to files to be used together with the 'kst', 'kstMatrix', 'CDSS', 'pks', or 'DAKS' packages.
Author: Cord Hockemeyer [aut, cre]
Maintainer: Cord Hockemeyer <cord.hockemeyer@uni-graz.at>

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Package ecic updated to version 0.0.4 with previous version 0.0.3 dated 2023-02-21

Title: Extended Changes-in-Changes
Description: Extends the Changes-in-Changes model a la Athey and Imbens (2006) <doi:10.1111/j.1468-0262.2006.00668.x> to multiple cohorts and time periods, which generalizes difference-in-differences estimation techniques to the entire distribution. Computes quantile treatment effects for every possible two-by-two combination in ecic(). Then, aggregating all bootstrap runs adds the standard errors in summary_ecic(). Results can be plotted with plot_ecic() aggregated over all cohort-group combinations or in an event-study style for either individual periods or individual quantiles.
Author: Frederic Kluser [aut, cre, cph]
Maintainer: Frederic Kluser <frederic.kluser@unibe.ch>

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Package atrrr updated to version 0.1.0 with previous version 0.0.5 dated 2025-01-19

Title: Wrapper for the 'AT' Protocol Behind 'Bluesky'
Description: Wraps the 'AT' Protocol (Authenticated Transfer Protocol) behind 'Bluesky' <https://bsky.social>. Functions can be used for, among others, retrieving posts and followers from the network or posting content.
Author: Johannes B. Gruber [aut, cre] , Benjamin Guinaudeau [aut, ctb] , Fabio Votta [aut, ctb]
Maintainer: Johannes B. Gruber <JohannesB.Gruber@gmail.com>

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Package textshaping updated to version 1.0.0 with previous version 0.4.1 dated 2024-12-06

Title: Bindings to the 'HarfBuzz' and 'Fribidi' Libraries for Text Shaping
Description: Provides access to the text shaping functionality in the 'HarfBuzz' library and the bidirectional algorithm in the 'Fribidi' library. 'textshaping' is a low-level utility package mainly for graphic devices that expands upon the font tool-set provided by the 'systemfonts' package.
Author: Thomas Lin Pedersen [cre, aut] , Posit, PBC [cph, fnd]
Maintainer: Thomas Lin Pedersen <thomas.pedersen@posit.co>

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Package systemfonts updated to version 1.2.1 with previous version 1.2.0 dated 2025-01-16

Title: System Native Font Finding
Description: Provides system native access to the font catalogue. As font handling varies between systems it is difficult to correctly locate installed fonts across different operating systems. The 'systemfonts' package provides bindings to the native libraries on Windows, macOS and Linux for finding font files that can then be used further by e.g. graphic devices. The main use is intended to be from compiled code but 'systemfonts' also provides access from R.
Author: Thomas Lin Pedersen [aut, cre] , Jeroen Ooms [aut] , Devon Govett [aut] , Posit, PBC [cph, fnd]
Maintainer: Thomas Lin Pedersen <thomas.pedersen@posit.co>

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Package hdf5r updated to version 1.3.12 with previous version 1.3.11 dated 2024-07-07

Title: Interface to the 'HDF5' Binary Data Format
Description: 'HDF5' is a data model, library and file format for storing and managing large amounts of data. This package provides a nearly feature complete, object oriented wrapper for the 'HDF5' API <https://support.hdfgroup.org/documentation/hdf5/latest/_r_m.html> using R6 classes. Additionally, functionality is added so that 'HDF5' objects behave very similar to their corresponding R counterparts.
Author: Holger Hoefling [aut, cre], Mario Annau [aut], Novartis Institute for BioMedical Research [cph]
Maintainer: Holger Hoefling <hhoeflin@gmail.com>

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Package ggeffects updated to version 2.1.0 with previous version 2.0.0 dated 2024-11-27

Title: Create Tidy Data Frames of Marginal Effects for 'ggplot' from Model Outputs
Description: Compute marginal effects and adjusted predictions from statistical models and returns the result as tidy data frames. These data frames are ready to use with the 'ggplot2'-package. Effects and predictions can be calculated for many different models. Interaction terms, splines and polynomial terms are also supported. The main functions are ggpredict(), ggemmeans() and ggeffect(). There is a generic plot()-method to plot the results using 'ggplot2'.
Author: Daniel Luedecke [aut, cre] , Frederik Aust [ctb] , Sam Crawley [ctb] , Mattan S. Ben-Shachar [ctb] , Sean C. Anderson [ctb]
Maintainer: Daniel Luedecke <d.luedecke@uke.de>

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Package babelmixr2 updated to version 0.1.6 with previous version 0.1.5 dated 2024-11-06

Title: Use 'nlmixr2' to Interact with Open Source and Commercial Software
Description: Run other estimation and simulation software via the 'nlmixr2' (Fidler et al (2019) <doi:10.1002/psp4.12445>) interface including 'PKNCA', 'NONMEM' and 'Monolix'. While not required, you can get/install the 'lixoftConnectors' package in the 'Monolix' installation, as described at the following url <https://monolixsuite.slp-software.com/r-functions/2024R1/installation-and-initialization>. When 'lixoftConnectors' is available, 'Monolix' can be run directly instead of setting up command line usage.
Author: Matthew Fidler [aut, cre] , Bill Denney [aut] , Theodoros Papathanasiou [ctb], Nook Fulloption [ctb]
Maintainer: Matthew Fidler <matthew.fidler@gmail.com>

Diff between babelmixr2 versions 0.1.5 dated 2024-11-06 and 0.1.6 dated 2025-01-20

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Package gpboost updated to version 1.5.5.1 with previous version 1.5.5 dated 2024-12-20

Title: Combining Tree-Boosting with Gaussian Process and Mixed Effects Models
Description: An R package that allows for combining tree-boosting with Gaussian process and mixed effects models. It also allows for independently doing tree-boosting as well as inference and prediction for Gaussian process and mixed effects models. See <https://github.com/fabsig/GPBoost> for more information on the software and Sigrist (2022, JMLR) <https://www.jmlr.org/papers/v23/20-322.html> and Sigrist (2023, TPAMI) <doi:10.1109/TPAMI.2022.3168152> for more information on the methodology.
Author: Fabio Sigrist [aut, cre], Tim Gyger [aut], Pascal Kuendig [aut], Benoit Jacob [cph], Gael Guennebaud [cph], Nicolas Carre [cph], Pierre Zoppitelli [cph], Gauthier Brun [cph], Jean Ceccato [cph], Jitse Niesen [cph], Other authors of Eigen for the incl [...truncated...]
Maintainer: Fabio Sigrist <fabiosigrist@gmail.com>

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Sun, 19 Jan 2025

Package spatstat.model updated to version 3.3-4 with previous version 3.3-3 dated 2024-11-19

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 DEploid updated to version 0.5.7 with previous version 0.5.6 dated 2024-12-23

Title: Deconvolute Mixed Genomes with Unknown Proportions
Description: Traditional phasing programs are limited to diploid organisms. Our method modifies Li and Stephens algorithm with Markov chain Monte Carlo (MCMC) approaches, and builds a generic framework that allows haplotype searches in a multiple infection setting. This package is primarily developed as part of the Pf3k project, which is a global collaboration using the latest sequencing technologies to provide a high-resolution view of natural variation in the malaria parasite Plasmodium falciparum. Parasite DNA are extracted from patient blood sample, which often contains more than one parasite strain, with unknown proportions. This package is used for deconvoluting mixed haplotypes, and reporting the mixture proportions from each sample.
Author: Joe Zhu [aut, cre] , Jacob Almagro-Garcia [aut], Gil McVean [aut], University of Oxford [cph], Yinghan Liu [ctb], CodeCogs Zyba Ltd [com, cph], Deepak Bandyopadhyay [com, cph], Lutz Kettner [com, cph]
Maintainer: Joe Zhu <sha.joe.zhu@gmail.com>

Diff between DEploid versions 0.5.6 dated 2024-12-23 and 0.5.7 dated 2025-01-19

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Package recalibratiNN updated to version 0.3.2 with previous version 0.3.0 dated 2024-07-05

Title: Quantile Recalibration for Regression Models
Description: Enables the diagnostics and enhancement of regression model calibration.It offers both global and local visualization tools for calibration diagnostics and provides one recalibration method: Torres R, Nott DJ, Sisson SA, Rodrigues T, Reis JG, Rodrigues GS (2024) <doi:10.48550/arXiv.2403.05756>. The method leverages on Probabilistic Integral Transform (PIT) values to both evaluate and perform the calibration of statistical models. For a more detailed description of the package, please refer to the bachelor's thesis available bellow.
Author: Carolina Musso [aut, cre, cph] , Ricardo Torres [aut, cph] , Joao Reis [aut, cph], Guilherme Rodrigues [aut, ths, cph]
Maintainer: Carolina Musso <cmusso86@gmail.com>

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Package re2 updated to version 0.1.4 with previous version 0.1.3 dated 2023-11-28

Title: R Interface to Google RE2 (C++) Regular Expression Library
Description: Pattern matching, extraction, replacement and other string processing operations using Google's RE2 <https://github.com/google/re2> regular-expression engine. Consistent interface (similar to 'stringr'). RE2 uses finite-automata based techniques, and offers a fast and safe alternative to backtracking regular-expression engines like those used in 'stringr', 'stringi' and other PCRE implementations.
Author: Girish Palya [aut, cre], RE2 developers [ctb] , Google Inc. [ctb, cph]
Maintainer: Girish Palya <girishji@gmail.com>

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Package rbiom updated to version 2.0.10 with previous version 2.0.7 dated 2025-01-11

Title: Read/Write, Analyze, and Visualize 'BIOM' Data
Description: A toolkit for working with Biological Observation Matrix ('BIOM') files. Read/write all 'BIOM' formats. Compute rarefaction, alpha diversity, and beta diversity (including 'UniFrac'). Summarize counts by taxonomic level. Subset based on metadata. Generate visualizations and statistical analyses. CPU intensive operations are coded in C for speed.
Author: Daniel P. Smith [aut, cre] , Alkek Center for Metagenomics and Microbiome Research [cph, fnd]
Maintainer: Daniel P. Smith <dansmith01@gmail.com>

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Package priorityelasticnet updated to version 0.2.0 with previous version 0.1.0 dated 2025-01-13

Title: Comprehensive Analysis of Multi-Omics Data Using an Offset-Based Method
Description: Priority-ElasticNet extends the Priority-LASSO method (Klau et al. (2018) <doi:10.1186/s12859-018-2344-6>) by incorporating the ElasticNet penalty, allowing for both L1 and L2 regularization. This approach fits successive ElasticNet models for several blocks of (omics) data with different priorities, using the predicted values from each block as an offset for the subsequent block. It also offers robust options to handle block-wise missingness in multi-omics data, improving the flexibility and applicability of the model in the presence of incomplete datasets.
Author: Laila Qadir Musib [aut, cre], Eunice Carrasquinha [aut], Helena Mourino [aut]
Maintainer: Laila Qadir Musib <statleila98@gmail.com>

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Package cpp11bigwig updated to version 0.1.1 with previous version 0.1.0 dated 2025-01-07

Title: Read bigWig and bigBed Files
Description: Read bigWig and bigBed files using "libBigWig" <https://github.com/dpryan79/libBigWig>. Provides lightweight access to the binary bigWig and bigBed formats developed by the UCSC Genome Browser group.
Author: Jay Hesselberth [aut, cre], RNA Bioscience Initiative [fnd, cph], Devon Ryan [cph]
Maintainer: Jay Hesselberth <jay.hesselberth@gmail.com>

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Package tidyplots updated to version 0.2.1 with previous version 0.2.0 dated 2024-12-16

Title: Tidy Plots for Scientific Papers
Description: The goal of 'tidyplots' is to streamline the creation of publication-ready plots for scientific papers. It allows to gradually add, remove and adjust plot components using a consistent and intuitive syntax.
Author: Jan Broder Engler [aut, cre, cph]
Maintainer: Jan Broder Engler <broder.engler@gmail.com>

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Package jmBIG updated to version 0.1.3 with previous version 0.1.2 dated 2024-03-20

Title: Joint Longitudinal and Survival Model for Big Data
Description: Provides analysis tools for big data where the sample size is very large. It offers a suite of functions for fitting and predicting joint models, which allow for the simultaneous analysis of longitudinal and time-to-event data. This statistical methodology is particularly useful in medical research where there is often interest in understanding the relationship between a longitudinal biomarker and a clinical outcome, such as survival or disease progression. This can be particularly useful in a clinical setting where it is important to be able to predict how a patient's health status may change over time. Overall, this package provides a comprehensive set of tools for joint modeling of BIG data obtained as survival and longitudinal outcomes with both Bayesian and non-Bayesian approaches. Its versatility and flexibility make it a valuable resource for researchers in many different fields, particularly in the medical and health sciences.
Author: Atanu Bhattacharjee [aut, cre, ctb], Bhrigu Kumar Rajbongshi [aut, ctb], Gajendra K Vishwakarma [aut, ctb]
Maintainer: Atanu Bhattacharjee <atanustat@gmail.com>

Diff between jmBIG versions 0.1.2 dated 2024-03-20 and 0.1.3 dated 2025-01-19

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More information about jmBIG at CRAN
Permanent link

Package shapviz updated to version 0.9.7 with previous version 0.9.6 dated 2024-10-11

Title: SHAP Visualizations
Description: Visualizations for SHAP (SHapley Additive exPlanations), such as waterfall plots, force plots, various types of importance plots, dependence plots, and interaction plots. These plots act on a 'shapviz' object created from a matrix of SHAP values and a corresponding feature dataset. Wrappers for the R packages 'xgboost', 'lightgbm', 'fastshap', 'shapr', 'h2o', 'treeshap', 'DALEX', and 'kernelshap' are added for convenience. By separating visualization and computation, it is possible to display factor variables in graphs, even if the SHAP values are calculated by a model that requires numerical features. The plots are inspired by those provided by the 'shap' package in Python, but there is no dependency on it.
Author: Michael Mayer [aut, cre], Adrian Stando [ctb]
Maintainer: Michael Mayer <mayermichael79@gmail.com>

Diff between shapviz versions 0.9.6 dated 2024-10-11 and 0.9.7 dated 2025-01-19

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More information about shapviz at CRAN
Permanent link

Package atrrr updated to version 0.0.5 with previous version 0.0.4 dated 2024-10-03

Title: Wrapper for the 'AT' Protocol Behind 'Bluesky'
Description: Wraps the 'AT' Protocol (Authenticated Transfer Protocol) behind 'Bluesky' <https://bsky.social>. Functions can be used for, among others, retrieving posts and followers from the network or posting content.
Author: Johannes B. Gruber [aut, cre] , Benjamin Guinaudeau [aut, ctb] , Fabio Votta [aut, ctb]
Maintainer: Johannes B. Gruber <JohannesB.Gruber@gmail.com>

Diff between atrrr versions 0.0.4 dated 2024-10-03 and 0.0.5 dated 2025-01-19

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 atrrr-0.0.5/atrrr/DESCRIPTION                                                                             |   11 
 atrrr-0.0.5/atrrr/MD5                                                                                     |  494 ++++++----
 atrrr-0.0.5/atrrr/NAMESPACE                                                                               |    3 
 atrrr-0.0.5/atrrr/NEWS.md                                                                                 |   12 
 atrrr-0.0.5/atrrr/R/auth.r                                                                                |    2 
 atrrr-0.0.5/atrrr/R/auto_app_bsky_actor.R                                                                 |   14 
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 atrrr-0.0.5/atrrr/R/auto_com_atproto_identity.R                                                           |   68 +
 atrrr-0.0.5/atrrr/R/auto_com_atproto_label.R                                                              |    2 
 atrrr-0.0.5/atrrr/R/auto_com_atproto_moderation.R                                                         |    2 
 atrrr-0.0.5/atrrr/R/auto_com_atproto_repo.R                                                               |   48 
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 atrrr-0.0.5/atrrr/R/auto_com_atproto_sync.R                                                               |   34 
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 atrrr-0.0.5/atrrr/R/gen.r                                                                                 |   13 
 atrrr-0.0.5/atrrr/R/graph.r                                                                               |    4 
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 atrrr-0.0.5/atrrr/R/utils.r                                                                               |  129 +-
 atrrr-0.0.5/atrrr/README.md                                                                               |   89 +
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Package parseRPDR updated to version 1.1.2 with previous version 1.1.1 dated 2024-04-03

Title: Parse and Manipulate Research Patient Data Registry ('RPDR') Text Queries
Description: Functions to load Research Patient Data Registry ('RPDR') text queries from Partners Healthcare institutions into R. The package also provides helper functions to manipulate data and execute common procedures such as finding the closest radiological exams considering a given timepoint, or creating a DICOM header database from the downloaded images. All functionalities are parallelized for fast and efficient analyses.
Author: Marton Kolossvary [aut, cre]
Maintainer: Marton Kolossvary <mkolossvary@mgh.harvard.edu>

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Package RobLoxBioC updated to version 1.2.3 with previous version 1.2.2 dated 2024-02-11

Title: Infinitesimally Robust Estimators for Preprocessing -Omics Data
Description: Functions for the determination of optimally robust influence curves and estimators for preprocessing omics data, in particular gene expression data (Kohl and Deigner (2010), <doi:10.1186/1471-2105-11-583>).
Author: Matthias Kohl [aut, cre, cph]
Maintainer: Matthias Kohl <Matthias.Kohl@stamats.de>

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Package TREDesigns updated to version 1.0.1 with previous version 1.0.0 dated 2024-12-11

Title: Ternary Residual Effect Designs
Description: There are some experimental scenarios where each experimental unit receives a sequence of treatments across multiple periods, and treatment effects persist beyond the period of application. It focuses on the construction and calculation of the parametric value of the residual effect designs balanced for carryover effects, also referred to as crossover designs, change-over designs, or repeated measurements designs (Aggarwal and Jha, 2010<doi:10.1080/15598608.2010.10412013>). The primary objective of the package is to generate a new class of Balanced Ternary Residual Effect Designs (BTREDs), balanced for carryover effects tailored explicitly for situations where the number of periods is less than or equal to the number of treatments. In addition, the package provides four new classes of Partially Balanced Ternary Residual Effect Designs (PBTREDs), constructed using incomplete block designs, initial sequences, and rectangular association scheme. In addition, one extra function is in [...truncated...]
Author: Akhilesh Jha [aut], Cini Varghese [aut], Seema Jaggi [aut], Mohd Harun [aut], Ashutosh Dalal [aut, cre]
Maintainer: Ashutosh Dalal <ashutosh.dalal97@gmail.com>

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Package gdalraster updated to version 1.12.0 with previous version 1.11.1 dated 2024-06-13

Title: Bindings to the 'Geospatial Data Abstraction Library' Raster API
Description: Interface to the Raster API of the 'Geospatial Data Abstraction Library' ('GDAL', <https://gdal.org>). Bindings are implemented in an exposed C++ class encapsulating a 'GDALDataset' and its raster band objects, along with several stand-alone functions. These support manual creation of uninitialized datasets, creation from existing raster as template, read/set dataset parameters, low level I/O, color tables, raster attribute tables, virtual raster (VRT), and 'gdalwarp' wrapper for reprojection and mosaicing. Includes 'GDAL' algorithms ('dem_proc()', 'polygonize()', 'rasterize()', etc.), and functions for coordinate transformation and spatial reference systems. Calling signatures resemble the native C, C++ and Python APIs provided by the 'GDAL' project. Includes raster 'calc()' to evaluate a given R expression on a layer or stack of layers, with pixel x/y available as variables in the expression; and raster 'combine()' to identify and count unique pixel combinations across multiple [...truncated...]
Author: Chris Toney [aut, cre] , Michael D. Sumner [ctb], Frank Warmerdam [ctb, cph] , Even Rouault [ctb, cph] , Marius Appel [ctb, cph] , Daniel James [ctb, cph] , Peter Dimov [ctb, cph]
Maintainer: Chris Toney <chris.toney@usda.gov>

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Package goat updated to version 1.1 with previous version 1.0 dated 2024-04-30

Title: Gene Set Analysis Using the Gene Set Ordinal Association Test
Description: Perform gene set enrichment analyses using the Gene set Ordinal Association Test (GOAT) algorithm and visualize your results. Koopmans, F. (2024) <doi:10.1038/s42003-024-06454-5>.
Author: Frank Koopmans [aut, cre]
Maintainer: Frank Koopmans <ftwkoopmans@gmail.com>

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Package RcppMsgPack updated to version 0.2.4 with previous version 0.2.3 dated 2018-11-18

Title: 'MsgPack' C++ Header Files and Interface Functions for R
Description: 'MsgPack' header files are provided for use by R packages, along with the ability to access, create and alter 'MsgPack' objects directly from R. 'MsgPack' is an efficient binary serialization format. It lets you exchange data among multiple languages like 'JSON' but it is faster and smaller. Small integers are encoded into a single byte, and typical short strings require only one extra byte in addition to the strings themselves. This package provides headers from the 'msgpack-c' implementation for C and C++(11) for use by R, particularly 'Rcpp'. The included 'msgpack-c' headers are licensed under the Boost Software License (Version 1.0); the code added by this package as well the R integration are licensed under the GPL (>= 2). See the files 'COPYRIGHTS' and 'AUTHORS' for a full list of copyright holders and contributors to 'msgpack-c'.
Author: Dirk Eddelbuettel [aut, cre] , Travers Ching [aut], MsgPack Authors [aut]
Maintainer: Dirk Eddelbuettel <edd@debian.org>

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Package groundhog updated to version 3.2.2 with previous version 3.2.1 dated 2024-09-29

Title: Version-Control for CRAN, GitHub, and GitLab Packages
Description: Make R scripts reproducible, by ensuring that every time a given script is run, the same version of the used packages are loaded (instead of whichever version the user running the script happens to have installed). This is achieved by using the command groundhog.library() instead of the base command library(), and including a date in the call. The date is used to call on the same version of the package every time (the most recent version available at that date). Load packages from CRAN, GitHub, or Gitlab.
Author: Uri Simonsohn [aut, cre] , Hugo Gruson [ctb, aut]
Maintainer: Uri Simonsohn <urisohn@gmail.com>

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Package BOJ updated to version 0.3.4 with previous version 0.3 dated 2022-01-04

Title: Interface to Bank of Japan Statistics
Description: Provides an interface to Bank of Japan <https://www.boj.or.jp> statistics.
Author: Stefan Angrick [aut, cre, cph]
Maintainer: Stefan Angrick <contact@stefanangrick.net>

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Package ncdfCF updated to version 0.3.0 with previous version 0.2.1 dated 2024-10-14

Title: Easy Access to NetCDF Files with CF Metadata Conventions
Description: Network Common Data Form ('netCDF') files are widely used for scientific data. Library-level access in R is provided through packages 'RNetCDF' and 'ncdf4'. Package 'ncdfCF' is built on top of 'RNetCDF' and makes the data and its attributes available as a set of R6 classes that are informed by the Climate and Forecasting Metadata Conventions. Access to the data uses standard R subsetting operators and common function forms.
Author: Patrick Van Laake [aut, cre, cph]
Maintainer: Patrick Van Laake <patrick@vanlaake.net>

Diff between ncdfCF versions 0.2.1 dated 2024-10-14 and 0.3.0 dated 2025-01-19

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Package ivreg updated to version 0.6-5 with previous version 0.6-4 dated 2024-09-18

Title: Instrumental-Variables Regression by '2SLS', '2SM', or '2SMM', with Diagnostics
Description: Instrumental variable estimation for linear models by two-stage least-squares (2SLS) regression or by robust-regression via M-estimation (2SM) or MM-estimation (2SMM). The main ivreg() model-fitting function is designed to provide a workflow as similar as possible to standard lm() regression. A wide range of methods is provided for fitted ivreg model objects, including extensive functionality for computing and graphing regression diagnostics in addition to other standard model tools.
Author: John Fox [aut] , Christian Kleiber [aut] , Achim Zeileis [aut, cre] , Nikolas Kuschnig [ctb] , R Core Team [ctb]
Maintainer: Achim Zeileis <Achim.Zeileis@R-project.org>

Diff between ivreg versions 0.6-4 dated 2024-09-18 and 0.6-5 dated 2025-01-19

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Package mutualinf updated to version 2.0.3 with previous version 2.0.2 dated 2025-01-18

Title: Computation and Decomposition of the Mutual Information Index
Description: The Mutual Information Index (M) introduced to social science literature by Theil and Finizza (1971) <doi:10.1080/0022250X.1971.9989795> is a multigroup segregation measure that is highly decomposable and that according to Frankel and Volij (2011) <doi:10.1016/j.jet.2010.10.008> and Mora and Ruiz-Castillo (2011) <doi:10.1111/j.1467-9531.2011.01237.x> satisfies the Strong Unit Decomposability and Strong Group Decomposability properties. This package allows computing and decomposing the total index value into its "between" and "within" terms. These last terms can also be decomposed into their contributions, either by group or unit characteristics. The factors that produce each "within" term can also be displayed at the user's request. The results can be computed considering a variable or sets of variables that define separate clusters.
Author: Cristian Angulo-Gonzalez [aut, cre], Rafael Fuentealba-Chaura [aut], Ricardo Mora [aut], Julio Rojas-Mora [aut], FONDECYT/ANID Project 11170583 [fnd], MCIN/AEI/10.13039/501100011033 [fnd], UCT VIP Project FEQUIP2019-INRN-03 [fnd]
Maintainer: Cristian Angulo-Gonzalez <cristian_world@hotmail.cl>

Diff between mutualinf versions 2.0.2 dated 2025-01-18 and 2.0.3 dated 2025-01-19

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Package munsellinterpol updated to version 3.1-0 with previous version 3.0-0 dated 2022-04-07

Title: Interpolate Munsell Renotation Data from Hue Value/Chroma to CIE/RGB
Description: Methods for interpolating data in the Munsell color system following the ASTM D-1535 standard. Hues and chromas with decimal values can be interpolated and converted to/from the Munsell color system and CIE xyY, CIE XYZ, CIE Lab, CIE Luv, or RGB. Includes ISCC-NBS color block lookup. Based on the work by Paul Centore, "The Munsell and Kubelka-Munk Toolbox".
Author: Jose Gama [aut, trl], Paul Centore [aut, cph], Glenn Davis [aut, cre]
Maintainer: Glenn Davis <gdavis@gluonics.com>

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Package FLSSS (with last version 9.1.8) was removed from CRAN

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

2024-08-23 9.1.8

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Package FeatureHashing (with last version 0.9.2) was removed from CRAN

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

2024-01-10 0.9.2
2022-10-30 0.9.1.5
2019-11-24 0.9.1.4
2018-04-10 0.9.1.3
2015-10-17 0.9.1.1
2015-09-22 0.9.1
2015-03-29 0.9
2015-01-01 0.8
2014-12-21 0.7

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Package boostmtree (with last version 1.5.1) was removed from CRAN

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

2022-03-10 1.5.1

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Sat, 18 Jan 2025

Package colorrepel updated to version 0.4.1 with previous version 0.3.0 dated 2024-09-29

Title: Repel Visually Similar Colors for Colorblind Users in Various Plots
Description: Iterate and repel visually similar colors away in various 'ggplot2' plots. When many groups are plotted at the same time on multiple axes, for instance stacked bars or scatter plots, effectively ordering colors becomes difficult. This tool iterates through color combinations to find the best solution to maximize visual distinctness of nearby groups, so plots are more friendly toward colorblind users. This is achieved by two distance measurements, distance between groups within the plot, and CIELAB color space distances between colors as described in Carter et al., (2018) <doi:10.25039/TR.015.2018>.
Author: Rui Fu [cre, aut, cph]
Maintainer: Rui Fu <raysinensis@gmail.com>

Diff between colorrepel versions 0.3.0 dated 2024-09-29 and 0.4.1 dated 2025-01-18

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Package SpaCCI updated to version 1.0.3 with previous version 1.0.2 dated 2024-10-24

Title: Spatially Aware Cell-Cell Interaction Analysis
Description: Provides tools for analyzing spatial cell-cell interactions based on ligand-receptor pairs, including functions for local, regional, and global analysis using spatial transcriptomics data. Integrates with databases like 'CellChat' <http://www.cellchat.org/>, 'CellPhoneDB' <https://www.cellphonedb.org/>, 'Cellinker' <https://www.rna-society.org/cellinker/>, 'ICELLNET' <https://github.com/soumelis-lab/ICELLNET>, and 'ConnectomeDB' <https://humanconnectome.org/software/connectomedb/> to identify ligand-receptor pairs, visualize interactions through heatmaps, chord diagrams, and infer interactions on different spatial scales.
Author: Li-Ting Ku [aut, cre]
Maintainer: Li-Ting Ku <lku@mdanderson.org>

Diff between SpaCCI versions 1.0.2 dated 2024-10-24 and 1.0.3 dated 2025-01-18

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Package Qindex.data updated to version 0.1.3 with previous version 0.1.2 dated 2025-01-17

Title: Data for Package 'Qindex'
Description: Example data used in package 'Qindex'.
Author: Tingting Zhan [aut, cre, cph] , Misung Yi [aut, cph] , Inna Chervoneva [aut, cph]
Maintainer: Tingting Zhan <tingtingzhan@gmail.com>

Diff between Qindex.data versions 0.1.2 dated 2025-01-17 and 0.1.3 dated 2025-01-18

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Package mutualinf updated to version 2.0.2 with previous version 2.0.1 dated 2025-01-16

Title: Computation and Decomposition of the Mutual Information Index
Description: The Mutual Information Index (M) introduced to social science literature by Theil and Finizza (1971) <doi:10.1080/0022250X.1971.9989795> is a multigroup segregation measure that is highly decomposable and that according to Frankel and Volij (2011) <doi:10.1016/j.jet.2010.10.008> and Mora and Ruiz-Castillo (2011) <doi:10.1111/j.1467-9531.2011.01237.x> satisfies the Strong Unit Decomposability and Strong Group Decomposability properties. This package allows computing and decomposing the total index value into its "between" and "within" terms. These last terms can also be decomposed into their contributions, either by group or unit characteristics. The factors that produce each "within" term can also be displayed at the user's request. The results can be computed considering a variable or sets of variables that define separate clusters.
Author: Cristian Angulo-Gonzalez [aut, cre], Rafael Fuentealba-Chaura [aut], Ricardo Mora [aut], Julio Rojas-Mora [aut], FONDECYT/ANID Project 11170583 [fnd], MCIN/AEI/10.13039/501100011033 [fnd], UCT VIP Project FEQUIP2019-INRN-03 [fnd]
Maintainer: Cristian Angulo-Gonzalez <cristian_world@hotmail.cl>

Diff between mutualinf versions 2.0.1 dated 2025-01-16 and 2.0.2 dated 2025-01-18

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Package evola updated to version 1.0.4 with previous version 1.0.2 dated 2024-09-26

Title: Evolutionary Algorithm
Description: Runs a genetic algorithm using the 'AlphaSimR' machinery <doi:10.1093/g3journal/jkaa017> and the coalescent simulator 'MaCS' <doi:10.1101/gr.083634.108>.
Author: Giovanny Covarrubias-Pazaran [aut, cre]
Maintainer: Giovanny Covarrubias-Pazaran <cova_ruber@live.com.mx>

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Package quantities updated to version 0.2.3 with previous version 0.2.2 dated 2024-07-29

Title: Quantity Calculus for R Vectors
Description: Integration of the 'units' and 'errors' packages for a complete quantity calculus system for R vectors, matrices and arrays, with automatic propagation, conversion, derivation and simplification of magnitudes and uncertainties. Documentation about 'units' and 'errors' is provided in the papers by Pebesma, Mailund & Hiebert (2016, <doi:10.32614/RJ-2016-061>) and by Ucar, Pebesma & Azcorra (2018, <doi:10.32614/RJ-2018-075>), included in those packages as vignettes; see 'citation("quantities")' for details.
Author: Inaki Ucar [aut, cph, cre]
Maintainer: Inaki Ucar <iucar@fedoraproject.org>

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Package s3.resourcer updated to version 1.1.2 with previous version 1.1.1 dated 2023-05-07

Title: S3 Resource Resolver
Description: A S3 resource is provided by Amazon Web Services S3 or a S3-compatible object store (such as Minio). The resource can be a tidy file to be downloaded from the object store, or a data lake (such as Delta Lake) Parquet file to be read by Apache Spark.
Author: Yannick Marcon [aut, cre] , OBiBa group [cph]
Maintainer: Yannick Marcon <yannick.marcon@obiba.org>

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Package errors updated to version 0.4.3 with previous version 0.4.2 dated 2024-07-29

Title: Uncertainty Propagation for R Vectors
Description: Support for measurement errors in R vectors, matrices and arrays: automatic uncertainty propagation and reporting. Documentation about 'errors' is provided in the paper by Ucar, Pebesma & Azcorra (2018, <doi:10.32614/RJ-2018-075>), included in this package as a vignette; see 'citation("errors")' for details.
Author: Inaki Ucar [aut, cph, cre] , Lionel Henry [ctb], RStudio [cph]
Maintainer: Inaki Ucar <iucar@fedoraproject.org>

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Package nlmixr2est updated to version 3.0.3 with previous version 3.0.2 dated 2024-11-23

Title: Nonlinear Mixed Effects Models in Population PK/PD, Estimation Routines
Description: Fit and compare nonlinear mixed-effects models in differential equations with flexible dosing information commonly seen in pharmacokinetics and pharmacodynamics (Almquist, Leander, and Jirstrand 2015 <doi:10.1007/s10928-015-9409-1>). Differential equation solving is by compiled C code provided in the 'rxode2' package (Wang, Hallow, and James 2015 <doi:10.1002/psp4.12052>).
Author: Matthew Fidler [aut, cre] , Yuan Xiong [aut], Rik Schoemaker [aut] , Justin Wilkins [aut] , Wenping Wang [aut], Robert Leary [ctb], Mason McComb [ctb] , Vipul Mann [aut], Mirjam Trame [ctb], Mahmoud Abdelwahab [ctb], Teun Post [ctb], Richard Hooijmai [...truncated...]
Maintainer: Matthew Fidler <matthew.fidler@gmail.com>

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Package httr2 updated to version 1.1.0 with previous version 1.0.7 dated 2024-11-26

Title: Perform HTTP Requests and Process the Responses
Description: Tools for creating and modifying HTTP requests, then performing them and processing the results. 'httr2' is a modern re-imagining of 'httr' that uses a pipe-based interface and solves more of the problems that API wrapping packages face.
Author: Hadley Wickham [aut, cre], Posit Software, PBC [cph, fnd], Maximilian Girlich [ctb]
Maintainer: Hadley Wickham <hadley@posit.co>

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Package hoardr updated to version 0.5.5 with previous version 0.5.4 dated 2024-01-23

Title: Manage Cached Files
Description: Suite of tools for managing cached files, targeting use in other R packages. Uses 'rappdirs' for cross-platform paths. Provides utilities to manage cache directories, including targeting files by path or by key; cached directories can be compressed and uncompressed easily to save disk space.
Author: Scott Chamberlain [aut] , Tamas Stirling [ctb, cre]
Maintainer: Tamas Stirling <stirling.tamas@gmail.com>

Diff between hoardr versions 0.5.4 dated 2024-01-23 and 0.5.5 dated 2025-01-18

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Package CalibrationCurves updated to version 2.0.4 with previous version 2.0.3 dated 2024-07-02

Title: Calibration Performance
Description: Plots calibration curves and computes statistics for assessing calibration performance. See De Cock Campo (2023) <doi:10.48550/arXiv.2309.08559> and Van Calster et al. (2016) <doi:10.1016/j.jclinepi.2015.12.005>.
Author: De Cock Bavo [aut, cre], Nieboer Daan [aut], Van Calster Ben [aut], Steyerberg Ewout [aut], Vergouwe Yvonne [aut]
Maintainer: De Cock Bavo <bavo.decock@kuleuven.be>

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Package Coxmos updated to version 1.1.0 with previous version 1.0.2 dated 2024-03-25

Title: Cox MultiBlock Survival
Description: This software package provides Cox survival analysis for high-dimensional and multiblock datasets. It encompasses a suite of functions dedicated from the classical Cox regression to newest analysis, including Cox proportional hazards model, Stepwise Cox regression, and Elastic-Net Cox regression, Sparse Partial Least Squares Cox regression (sPLS-COX) incorporating three distinct strategies, and two Multiblock-PLS Cox regression (MB-sPLS-COX) methods. This tool is designed to adeptly handle high-dimensional data, and provides tools for cross-validation, plot generation, and additional resources for interpreting results. While references are available within the corresponding functions, key literature is mentioned below. Terry M Therneau (2024) <https://CRAN.R-project.org/package=survival>, Noah Simon et al. (2011) <doi:10.18637/jss.v039.i05>, Philippe Bastien et al. (2005) <doi:10.1016/j.csda.2004.02.005>, Philippe Bastien (2008) <doi:10.1016/j.chemolab.2007.09.009& [...truncated...]
Author: Pedro Salguero Garcia [aut, cre, rev] , Sonia Tarazona Campos [ths], Ana Conesa Cegarra [ths], Kassu Mehari Beyene [ctb], Luis Meira Machado [ctb], Marta Sestelo [ctb], Artur Araujo [ctb]
Maintainer: Pedro Salguero Garcia <pedrosalguerog@gmail.com>

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New package windfarmGA with initial version 4.0.0
Package: windfarmGA
Title: Genetic Algorithm for Wind Farm Layout Optimization
Version: 4.0.0
Maintainer: Sebastian Gatscha <sebastian_gatscha@gmx.at>
Description: The genetic algorithm is designed to optimize wind farms of any shape. It requires a predefined amount of turbines, a unified rotor radius and an average wind speed value for each incoming wind direction. A terrain effect model can be included that downloads an 'SRTM' elevation model and loads a Corine Land Cover raster to approximate surface roughness.
Depends: R (>= 4.1.0)
Imports: Rcpp, terra, sf, RColorBrewer, calibrate, grDevices, graphics, magrittr, methods, stats, utils
LinkingTo: Rcpp
LazyData: TRUE
License: MIT + file LICENSE
URL: https://ysosirius.github.io/windfarmGA/index.html
BugReports: https://github.com/YsoSirius/windfarmGA/issues
Encoding: UTF-8
Suggests: testthat (>= 3.0.0), foreach, parallel, doParallel, progress, stars, raster, leaflet, elevatr (>= 0.99.0), ggplot2, gstat, rworldmap
NeedsCompilation: yes
Packaged: 2025-01-18 09:24:17 UTC; kona1
Author: Sebastian Gatscha [aut, cre, cph]
Repository: CRAN
Date/Publication: 2025-01-18 11:00:02 UTC

More information about windfarmGA at CRAN
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Package MHCtools updated to version 1.5.5 with previous version 1.5.4 dated 2025-01-15

Title: Analysis of MHC Data in Non-Model Species
Description: Fifteen tools for bioinformatics processing and analysis of major histocompatibility complex (MHC) data. The functions are tailored for amplicon data sets that have been filtered using the dada2 method (for more information on dada2, visit <https://benjjneb.github.io/dada2/> ), but even other types of data sets can be analyzed. The ReplMatch() function matches replicates in data sets in order to evaluate genotyping success. The GetReplTable() and GetReplStats() functions perform such an evaluation. The CreateFas() function creates a fasta file with all the sequences in the data set. The CreateSamplesFas() function creates individual fasta files for each sample in the data set. The DistCalc() function calculates Grantham, Sandberg, or p-distances from pairwise comparisons of all sequences in a data set, and mean distances of all pairwise comparisons within each sample in a data set. The function additionally outputs five tables with physico-chemical z-descriptor values (based on S [...truncated...]
Author: Jacob Roved [aut, cre]
Maintainer: Jacob Roved <jacob.roved@biol.lu.se>

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Permanent link

Package CovRegRF (with last version 2.0.1) was removed from CRAN

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

2024-07-15 2.0.1
2024-02-13 2.0.0

Permanent link
Package ftsa updated to version 6.5 with previous version 6.4 dated 2024-01-23

Title: Functional Time Series Analysis
Description: Functions for visualizing, modeling, forecasting and hypothesis testing of functional time series.
Author: Rob Hyndman [aut] , Han Lin Shang [aut, cre, cph]
Maintainer: Han Lin Shang <hanlin.shang@mq.edu.au>

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Package ctypesio updated to version 0.1.2 with previous version 0.1.1 dated 2024-10-16

Title: Read and Write Standard 'C' Types from Files, Connections and Raw Vectors
Description: Interacting with binary files can be difficult because R's types are a subset of what is generally supported by 'C'. This package provides a suite of functions for reading and writing binary data (with files, connections, and raw vectors) using 'C' type descriptions. These functions convert data between 'C' types and R types while checking for values outside the type limits, 'NA' values, etc.
Author: Mike Cheng [aut, cre, cph], Anne Fu [ctb]
Maintainer: Mike Cheng <mikefc@coolbutuseless.com>

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Package spatstat.geom updated to version 3.3-5 with previous version 3.3-4 dated 2024-11-18

Title: Geometrical Functionality of the 'spatstat' Family
Description: Defines spatial data types and supports geometrical operations on them. Data types include point patterns, windows (domains), pixel images, line segment patterns, tessellations and hyperframes. Capabilities include creation and manipulation of data (using command line or graphical interaction), plotting, geometrical operations (rotation, shift, rescale, affine transformation), convex hull, discretisation and pixellation, Dirichlet tessellation, Delaunay triangulation, pairwise distances, nearest-neighbour distances, distance transform, morphological operations (erosion, dilation, closing, opening), quadrat counting, geometrical measurement, geometrical covariance, colour maps, calculus on spatial domains, Gaussian blur, level sets of images, transects of images, intersections between objects, minimum distance matching. (Excludes spatial data on a network, which are supported by the package 'spatstat.linnet'.)
Author: Adrian Baddeley [aut, cre, cph] , Rolf Turner [aut, cph] , Ege Rubak [aut, cph] , Tilman Davies [ctb], Ute Hahn [ctb], Abdollah Jalilian [ctb], Greg McSwiggan [ctb, cph], Sebastian Meyer [ctb, cph], Jens Oehlschlaegel [ctb, cph], Suman Rakshit [ctb], [...truncated...]
Maintainer: Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>

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Fri, 17 Jan 2025

Package miLAG updated to version 1.0.5 with previous version 1.0.4 dated 2024-10-05

Title: Calculates Microbial Lag Duration (on the Population Level) from Provided Growth Curve Data
Description: Microbial growth is often measured by growth curves i.e. a table of population sizes and times of measurements. This package allows to use such growth curve data to determine the duration of "microbial lag phase" i.e. the time needed for microbes to restart divisions. It implements the most commonly used methods to calculate the lag duration, these methods are discussed and described in Opalek et.al. 2022. Citation: Smug, B. J., Opalek, M., Necki, M., & Wloch-Salamon, D. (2024). Microbial lag calculator: A shiny-based application and an R package for calculating the duration of microbial lag phase. Methods in Ecology and Evolution, 15, 301–307 <doi:10.1111/2041-210X.14269>.
Author: Bogna Smug [aut, cre]
Maintainer: Bogna Smug <bogna.smug@uj.edu.pl>

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Package lme4breeding updated to version 1.0.50 with previous version 1.0.40 dated 2024-10-16

Title: Relationship-Based Mixed-Effects Models
Description: Fit relationship-based and customized mixed-effects models with complex variance-covariance structures using the 'lme4' machinery. The core computational algorithms are implemented using the 'Eigen' 'C++' library for numerical linear algebra and 'RcppEigen' 'glue'.
Author: Giovanny Covarrubias-Pazaran [aut, cre]
Maintainer: Giovanny Covarrubias-Pazaran <cova_ruber@live.com.mx>

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Package agriutilities updated to version 1.2.1 with previous version 1.2.0 dated 2024-01-20

Title: Utilities for Data Analysis in Agriculture
Description: Utilities designed to make the analysis of field trials easier and more accessible for everyone working in plant breeding. It provides a simple and intuitive interface for conducting single and multi-environmental trial analysis, with minimal coding required. Whether you're a beginner or an experienced user, 'agriutilities' will help you quickly and easily carry out complex analyses with confidence. With built-in functions for fitting Linear Mixed Models, 'agriutilities' is the ideal choice for anyone who wants to save time and focus on interpreting their results. Some of the functions require the R package 'asreml' for the 'ASReml' software, this can be obtained upon purchase from 'VSN' international <https://vsni.co.uk/software/asreml-r/>.
Author: Johan Aparicio [aut, cre], Alexia Bornhorst [aut], The Alliance of Bioversity International and CIAT [cph]
Maintainer: Johan Aparicio <johanstevenapa@gmail.com>

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Package eDNAjoint updated to version 0.3 with previous version 0.2 dated 2024-10-08

Title: Joint Modeling of Traditional and Environmental DNA Survey Data in a Bayesian Framework
Description: Models integrate environmental DNA (eDNA) detection data and traditional survey data to jointly estimate species catch rate (see package vignette: <https://ednajoint.netlify.app/>). Models can be used with count data via traditional survey methods (i.e., trapping, electrofishing, visual) and replicated eDNA detection/nondetection data via polymerase chain reaction (i.e., PCR or qPCR) from multiple survey locations. Estimated parameters include probability of a false positive eDNA detection, a site-level covariates that scale the sensitivity of eDNA surveys relative to traditional surveys, and catchability coefficients for traditional gear types. Models are implemented with a Bayesian framework (Markov chain Monte Carlo) using the 'Stan' probabilistic programming language.
Author: Abigail G. Keller [aut, cre], Ryan P. Kelly [ctb], Chitra M. Saraswati [rev], Saras M. Windecker [rev]
Maintainer: Abigail G. Keller <agkeller@berkeley.edu>

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Package TimeDepFrail updated to version 0.0.1 with previous version 0.0.0.9 dated 2024-11-21

Title: Time Dependent Shared Frailty Cox Model
Description: Fits time-dependent shared frailty Cox model (specifically the adapted Paik et al.'s Model) based on the paper "Centre-Effect on Survival After Bone Marrow Transplantation: Application of Time-Dependent Frailty Models", by C.M. Wintrebert, H. Putter, A.H. Zwinderman and J.C. van Houwelingen (2004) <doi:10.1002/bimj.200310051>.
Author: Alessandra Ragni [aut, cre] , Giulia Romani [aut], Chiara Masci [aut]
Maintainer: Alessandra Ragni <alessandra.ragni@polimi.it>

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Package rgl updated to version 1.3.17 with previous version 1.3.16 dated 2025-01-06

Title: 3D Visualization Using OpenGL
Description: Provides medium to high level functions for 3D interactive graphics, including functions modelled on base graphics (plot3d(), etc.) as well as functions for constructing representations of geometric objects (cube3d(), etc.). Output may be on screen using OpenGL, or to various standard 3D file formats including WebGL, PLY, OBJ, STL as well as 2D image formats, including PNG, Postscript, SVG, PGF.
Author: Duncan Murdoch [aut, cre], Daniel Adler [aut], Oleg Nenadic [ctb], Simon Urbanek [ctb], Ming Chen [ctb], Albrecht Gebhardt [ctb], Ben Bolker [ctb], Gabor Csardi [ctb], Adam Strzelecki [ctb], Alexander Senger [ctb], The R Core Team [ctb, cph], Dirk Ed [...truncated...]
Maintainer: Duncan Murdoch <murdoch.duncan@gmail.com>

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Package hypervolume updated to version 3.1.5 with previous version 3.1.4 dated 2024-05-01

Title: High Dimensional Geometry, Set Operations, Projection, and Inference Using Kernel Density Estimation, Support Vector Machines, and Convex Hulls
Description: Estimates the shape and volume of high-dimensional datasets and performs set operations: intersection / overlap, union, unique components, inclusion test, and hole detection. Uses stochastic geometry approach to high-dimensional kernel density estimation, support vector machine delineation, and convex hull generation. Applications include modeling trait and niche hypervolumes and species distribution modeling.
Author: Benjamin Blonder [aut, cre], Cecina Babich Morrow [aut], Stuart Brown [aut], Gregoire Butruille [aut], Daniel Chen [aut], Alex Laini [aut], David J. Harris [aut], Clement Violet [aut]
Maintainer: Benjamin Blonder <benjamin.blonder@berkeley.edu>

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Package NatureSounds updated to version 1.0.5 with previous version 1.0.4 dated 2021-04-23

Title: Animal Sounds for Bioacustic Analysis
Description: Collection of example animal sounds for bioacoustic analysis.
Author: Marcelo Araya-Salas [aut, cre]
Maintainer: Marcelo Araya-Salas <marcelo.araya@ucr.ac.cr>

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Package TH.data updated to version 1.1-3 with previous version 1.1-2 dated 2023-04-17

Title: TH's Data Archive
Description: Contains data sets used in other packages Torsten Hothorn maintains.
Author: Torsten Hothorn [aut, cre]
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

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

Title: Estimation of the Structural Topic and Sentiment-Discourse Model for Text Analysis
Description: The Structural Topic and Sentiment-Discourse (STS) model allows researchers to estimate topic models with document-level metadata that determines both topic prevalence and sentiment-discourse. The sentiment-discourse is modeled as a document-level latent variable for each topic that modulates the word frequency within a topic. These latent topic sentiment-discourse variables are controlled by the document-level metadata. The STS model can be useful for regression analysis with text data in addition to topic modeling’s traditional use of descriptive analysis. The method was developed in Chen and Mankad (2024) <doi:10.1287/mnsc.2022.00261>.
Author: Shawn Mankad [aut, cre], Li Chen [aut]
Maintainer: Shawn Mankad <smankad@ncsu.edu>

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Package PhenotypeR updated to version 0.1.1 with previous version 0.1.0 dated 2024-12-06

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] , Albert Prats-Uribe [aut]
Maintainer: Edward Burn <edward.burn@ndorms.ox.ac.uk>

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Package handwriter updated to version 3.2.4 with previous version 3.2.3 dated 2024-11-26

Title: Handwriting Analysis in R
Description: Perform statistical writership analysis of scanned handwritten documents. Webpage provided at: <https://github.com/CSAFE-ISU/handwriter>.
Author: Iowa State University of Science and Technology on behalf of its Center for Statistics and Applications in Forensic Evidence [aut, cph, fnd], Nick Berry [aut], Stephanie Reinders [aut, cre], James Taylor [aut], Felix Baez-Santiago [ctb], Jon Gonzalez [...truncated...]
Maintainer: Stephanie Reinders <srein@iastate.edu>

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Package visualFields updated to version 1.0.7 with previous version 1.0.5 dated 2024-09-21

Title: Statistical Methods for Visual Fields
Description: A collection of tools for analyzing the field of vision. It provides a framework for development and use of innovative methods for visualization, statistical analysis, and clinical interpretation of visual-field loss and its change over time. It is intended to be a tool for collaborative research. The package is described in Marin-Franch and Swanson (2013) <doi:10.1167/13.4.10> and is part of the Open Perimetry Initiative (OPI) [Turpin, Artes, and McKendrick (2012) <doi:10.1167/12.11.22>].
Author: Ivan Marin-Franch [cre, aut, rev, cph], William H Swanson [fnd, dtc], Michael Wall [fnd, dtc], Andrew Turpin [ctb], Paul H Artes [ctb, dtc], Cord Huchzermeyer [ctb], Giovanni Montesano [ctb], Mitchell W Dul [dtc]
Maintainer: Ivan Marin-Franch <imarinfr@optocom.es>

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Package matsbyname updated to version 0.6.11 with previous version 0.6.10 dated 2024-02-12

Title: An Implementation of Matrix Mathematics that Respects Row and Column Names
Description: An implementation of matrix mathematics wherein operations are performed "by name."
Author: Matthew Heun [aut, cre]
Maintainer: Matthew Heun <matthew.heun@me.com>

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Package Qindex.data updated to version 0.1.2 with previous version 0.1.1 dated 2024-04-24

Title: Data for Package 'Qindex'
Description: Example data used in package 'Qindex'.
Author: Tingting Zhan [aut, cre, cph] , Misung Yi [aut, cph] , Inna Chervoneva [ctb]
Maintainer: Tingting Zhan <tingtingzhan@gmail.com>

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Package ontologics updated to version 0.7.4 with previous version 0.7.0 dated 2023-05-10

Title: Code-Logics to Handle Ontologies
Description: Provides tools to build and work with an ontology of linked (open) data in a tidy workflow. It is inspired by the Food and Agrilculture Organizations (FAO) caliper platform <https://www.fao.org/statistics/caliper/web/> and makes use of the Simple Knowledge Organisation System (SKOS).
Author: Steffen Ehrmann [aut, cre] , Arne Ruemmler [aut, ctb] , Carsten Meyer [ctb]
Maintainer: Steffen Ehrmann <steffen.ehrmann@posteo.de>

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Package basefun updated to version 1.2-1 with previous version 1.1-4 dated 2023-05-16

Title: Infrastructure for Computing with Basis Functions
Description: Some very simple infrastructure for basis functions.
Author: Torsten Hothorn [aut, cre]
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

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

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

2022-10-16 0.2.0
2020-07-13 0.1.2
2020-04-07 0.1.1
2020-01-29 0.1.0
2019-07-23 0.0.2
2019-07-11 0.0.1

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Package klexdatr (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:

2021-05-29 0.1.2
2020-11-01 0.1.1
2020-05-04 0.1.0

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Package MultiscaleDTM updated to version 0.9 with previous version 0.8.3 dated 2024-01-22

Title: Multi-Scale Geomorphometric Terrain Attributes
Description: Calculates multi-scale geomorphometric terrain attributes from regularly gridded digital terrain models using a variable focal windows size (Ilich et al. (2023) <doi:10.1111/tgis.13067>).
Author: Alexander Ilich [aut, cre] , Vincent Lecours [aut], Benjamin Misiuk [aut], Steven Murawski [aut]
Maintainer: Alexander Ilich <ailich@usf.edu>

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Package gslnls updated to version 1.4.1 with previous version 1.4.0 dated 2025-01-16

Title: GSL Multi-Start Nonlinear Least-Squares Fitting
Description: An R interface to weighted nonlinear least-squares optimization with the GNU Scientific Library (GSL), see M. Galassi et al. (2009, ISBN:0954612078). The available trust region methods include the Levenberg-Marquardt algorithm with and without geodesic acceleration, the Steihaug-Toint conjugate gradient algorithm for large systems and several variants of Powell's dogleg algorithm. Multi-start optimization based on quasi-random samples is implemented using a modified version of the algorithm in Hickernell and Yuan (1997, OR Transactions). Robust nonlinear regression can be performed using various robust loss functions, in which case the optimization problem is solved by iterative reweighted least squares (IRLS). Bindings are provided to tune a number of parameters affecting the low-level aspects of the trust region algorithms. The interface mimics R's nls() function and returns model objects inheriting from the same class.
Author: Joris Chau [aut, cre]
Maintainer: Joris Chau <joris.chau@openanalytics.eu>

Diff between gslnls versions 1.4.0 dated 2025-01-16 and 1.4.1 dated 2025-01-17

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Package grates updated to version 1.4.0 with previous version 1.3.0 dated 2024-11-20

Title: Grouped Date Classes
Description: Provides a coherent interface and implementation for creating grouped date classes. This package is part of the RECON (<https://www.repidemicsconsortium.org/>) toolkit for outbreak analysis.
Author: Tim Taylor [aut, cre]
Maintainer: Tim Taylor <tim.taylor@hiddenelephants.co.uk>

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Package gmresls updated to version 0.2.3 with previous version 0.2.2 dated 2024-10-18

Title: Solve Least Squares with GMRES(k)
Description: Solves a least squares system Ax~=b (dim(A)=(m,n) with m >= n) with a precondition matrix B: BAx=Bb (dim(B)=(n,m)). Implemented method is based on GMRES (Saad, Youcef; Schultz, Martin H. (1986). "GMRES: A Generalized Minimal Residual Algorithm for Solving Nonsymmetric Linear Systems" <doi:10.1137/0907058>) with callback functions, i.e. no explicit A, B or b are required.
Author: Serguei Sokol [aut, cre]
Maintainer: Serguei Sokol <sokol@insa-toulouse.fr>

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Package cherry updated to version 0.6-15 with previous version 0.6-14 dated 2021-05-07

Title: Multiple Testing Methods for Exploratory Research
Description: Provides an alternative approach to multiple testing by calculating a simultaneous upper confidence bounds for the number of true null hypotheses among any subset of the hypotheses of interest, using the methods of Goeman and Solari (2011) <doi:10.1214/11-STS356>.
Author: Jelle Goeman [aut, cre], Aldo Solari [aut], Rosa Meijer [aut]
Maintainer: Jelle Goeman <j.j.goeman@lumc.nl>

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Package bayestestR updated to version 0.15.1 with previous version 0.15.0 dated 2024-10-17

Title: Understand and Describe Bayesian Models and Posterior Distributions
Description: Provides utilities to describe posterior distributions and Bayesian models. It includes point-estimates such as Maximum A Posteriori (MAP), measures of dispersion (Highest Density Interval - HDI; Kruschke, 2015 <doi:10.1016/C2012-0-00477-2>) and indices used for null-hypothesis testing (such as ROPE percentage, pd and Bayes factors). References: Makowski et al. (2021) <doi:10.21105/joss.01541>.
Author: Dominique Makowski [aut, cre] , Daniel Luedecke [aut] , Mattan S. Ben-Shachar [aut] , Indrajeet Patil [aut] , Micah K. Wilson [aut] , Brenton M. Wiernik [aut] , Paul-Christian Buerkner [rev], Tristan Mahr [rev] , Henrik Singmann [ctb] , Quentin F. Gron [...truncated...]
Maintainer: Dominique Makowski <dom.makowski@gmail.com>

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Package anticlust updated to version 0.8.9 with previous version 0.8.7 dated 2024-10-01

Title: Subset Partitioning via Anticlustering
Description: The method of anticlustering partitions a pool of elements into groups (i.e., anticlusters) with the goal of maximizing between-group similarity or within-group heterogeneity. The anticlustering approach thereby reverses the logic of cluster analysis that strives for high within-group homogeneity and clear separation between groups. Computationally, anticlustering is accomplished by maximizing instead of minimizing a clustering objective function, such as the intra-cluster variance (used in k-means clustering) or the sum of pairwise distances within clusters. The main function anticlustering() gives access to optimal and heuristic anticlustering methods described in Papenberg and Klau (2021; <doi:10.1037/met0000301>), Brusco et al. (2020; <doi:10.1111/bmsp.12186>), and Papenberg (2024; <doi:10.1111/bmsp.12315>). The optimal algorithms require that an integer linear programming solver is installed. This package will install 'lpSolve' (<https://cran.r-project.org/p [...truncated...]
Author: Martin Papenberg [aut, cre] , Meik Michalke [ctb] , Gunnar W. Klau [ths], Juliane V. Nagel [ctb] , Martin Breuer [ctb] , Marie L. Schaper [ctb] , Max Diekhoff [ctb] , Hannah Hengelbrock [ctb]
Maintainer: Martin Papenberg <martin.papenberg@hhu.de>

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Package warbleR updated to version 1.1.34 with previous version 1.1.33 dated 2024-12-11

Title: Streamline Bioacoustic Analysis
Description: Functions aiming to facilitate the analysis of the structure of animal acoustic signals in 'R'. 'warbleR' makes use of the basic sound analysis tools from the packages 'tuneR' and 'seewave', and offers new tools for explore and quantify acoustic signal structure. The package allows to organize and manipulate multiple sound files, create spectrograms of complete recordings or individual signals in different formats, run several measures of acoustic structure, and characterize different structural levels in acoustic signals.
Author: Marcelo Araya-Salas [aut, cre] , Grace Smith-Vidaurre [aut]
Maintainer: Marcelo Araya-Salas <marcelo.araya@ucr.ac.cr>

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New package tidyfit with initial version 0.7.3
Package: tidyfit
Title: Regularized Linear Modeling with Tidy Data
Date: 2025-01-14
Version: 0.7.3
Author: Johann Pfitzinger [aut, cre]
Maintainer: Johann Pfitzinger <johann.pfitzinger@gmail.com>
Description: An extension to the 'R' tidy data environment for automated machine learning. The package allows fitting and cross validation of linear regression and classification algorithms on grouped data.
License: GPL-3
Encoding: UTF-8
LazyData: true
URL: https://tidyfit.residualmetrics.com, https://github.com/jpfitzinger/tidyfit
Depends: R (>= 3.5)
Imports: broom, crayon, dials, dplyr, furrr, generics, magrittr, MASS, methods, progressr, purrr, rlang, rsample, stats, tibble, tidyr, utils, vctrs, yardstick
Suggests: arm, bestglm, BMS, BoomSpikeSlab, CORElearn, e1071, gaselect, gets, gglasso, ggplot2, glmnet, hfr, iml, kableExtra, knitr, lme4, lmtest, lubridate, markdown, mboost, monomvn, mRMRe, MSwM, nnet, pls, quantreg, quantregForest, randomForest, sandwich, sensitivity, shrinkTVP, stringr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-01-14 19:48:21 UTC; johann
Repository: CRAN
Date/Publication: 2025-01-17 15:00:02 UTC

More information about tidyfit at CRAN
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Package scam updated to version 1.2-18 with previous version 1.2-17 dated 2024-06-19

Title: Shape Constrained Additive Models
Description: Generalized additive models under shape constraints on the component functions of the linear predictor. Models can include multiple shape-constrained (univariate and bivariate) and unconstrained terms. Routines of the package 'mgcv' are used to set up the model matrix, print, and plot the results. Multiple smoothing parameter estimation by the Generalized Cross Validation or similar. See Pya and Wood (2015) <doi:10.1007/s11222-013-9448-7> for an overview. A broad selection of shape-constrained smoothers, linear functionals of smooths with shape constraints, and Gaussian models with AR1 residuals.
Author: Natalya Pya [aut, cre]
Maintainer: Natalya Pya <nat.pya@gmail.com>

Diff between scam versions 1.2-17 dated 2024-06-19 and 1.2-18 dated 2025-01-17

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Package SAMprior updated to version 2.0.0 with previous version 1.1.1 dated 2023-09-27

Title: Self-Adapting Mixture (SAM) Priors
Description: Implementation of the SAM prior and generation of its operating characteristics for dynamically borrowing information from historical data. For details, please refer to Yang et al. (2023) <doi:10.1111/biom.13927>.
Author: Peng Yang [aut, cre] , Ying Yuan [aut]
Maintainer: Peng Yang <py11@rice.edu>

Diff between SAMprior versions 1.1.1 dated 2023-09-27 and 2.0.0 dated 2025-01-17

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Package rlang updated to version 1.1.5 with previous version 1.1.4 dated 2024-06-04

Title: Functions for Base Types and Core R and 'Tidyverse' Features
Description: A toolbox for working with base types, core R features like the condition system, and core 'Tidyverse' features like tidy evaluation.
Author: Lionel Henry [aut, cre], Hadley Wickham [aut], mikefc [cph] , Yann Collet [cph] , Posit, PBC [cph, fnd]
Maintainer: Lionel Henry <lionel@posit.co>

Diff between rlang versions 1.1.4 dated 2024-06-04 and 1.1.5 dated 2025-01-17

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Package plm updated to version 2.6-5 with previous version 2.6-4 dated 2024-04-01

Title: Linear Models for Panel Data
Description: A set of estimators for models and (robust) covariance matrices, and tests for panel data econometrics, including within/fixed effects, random effects, between, first-difference, nested random effects as well as instrumental-variable (IV) and Hausman-Taylor-style models, panel generalized method of moments (GMM) and general FGLS models, mean groups (MG), demeaned MG, and common correlated effects (CCEMG) and pooled (CCEP) estimators with common factors, variable coefficients and limited dependent variables models. Test functions include model specification, serial correlation, cross-sectional dependence, panel unit root and panel Granger (non-)causality. Typical references are general econometrics text books such as Baltagi (2021), Econometric Analysis of Panel Data (<doi:10.1007/978-3-030-53953-5>), Hsiao (2014), Analysis of Panel Data (<doi:10.1017/CBO9781139839327>), and Croissant and Millo (2018), Panel Data Econometrics with R (<doi:10.1002/9781119504641>).
Author: Yves Croissant [aut], Giovanni Millo [aut], Kevin Tappe [aut, cre], Ott Toomet [ctb], Christian Kleiber [ctb], Achim Zeileis [ctb], Arne Henningsen [ctb], Liviu Andronic [ctb], Nina Schoenfelder [ctb]
Maintainer: Kevin Tappe <kevin.tappe@bwi.uni-stuttgart.de>

Diff between plm versions 2.6-4 dated 2024-04-01 and 2.6-5 dated 2025-01-17

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Package gld updated to version 2.6.7 with previous version 2.6.6 dated 2022-10-23

Title: Estimation and Use of the Generalised (Tukey) Lambda Distribution
Description: The generalised lambda distribution, or Tukey lambda distribution, provides a wide variety of shapes with one functional form. This package provides random numbers, quantiles, probabilities, densities and density quantiles for four different types of the distribution, the FKML (Freimer et al 1988), RS (Ramberg and Schmeiser 1974), GPD (van Staden and Loots 2009) and FM5 - see documentation for details. It provides the density function, distribution function, and Quantile-Quantile plots. It implements a variety of estimation methods for the distribution, including diagnostic plots. Estimation methods include the starship (all 4 types), method of L-Moments for the GPD and FKML types, and a number of methods for only the FKML type. These include maximum likelihood, maximum product of spacings, Titterington's method, Moments, Trimmed L-Moments and Distributional Least Absolutes.
Author: Robert King [aut, cre] , Benjamin Dean [aut], Sigbert Klinke [aut], Paul van Staden [aut]
Maintainer: Robert King <Robert.King.Newcastle@gmail.com>

Diff between gld versions 2.6.6 dated 2022-10-23 and 2.6.7 dated 2025-01-17

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More information about gld at CRAN
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Package CohortConstructor updated to version 0.3.4 with previous version 0.3.3 dated 2024-11-26

Title: Build and Manipulate Study Cohorts Using a Common Data Model
Description: Create and manipulate study cohorts in data mapped to the Observational Medical Outcomes Partnership Common Data Model.
Author: Edward Burn [aut, cre] , Marti Catala [aut] , Nuria Mercade-Besora [aut] , Marta Alcalde-Herraiz [aut] , Mike Du [aut] , Yuchen Guo [aut] , Xihang Chen [aut] , Kim Lopez-Guell [aut] , Elin Rowlands [aut]
Maintainer: Edward Burn <edward.burn@ndorms.ox.ac.uk>

Diff between CohortConstructor versions 0.3.3 dated 2024-11-26 and 0.3.4 dated 2025-01-17

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Package shinyscholar updated to version 0.2.3 with previous version 0.2.2 dated 2025-01-15

Title: A Template for Creating Reproducible 'shiny' Applications
Description: Create a skeleton 'shiny' application with create_template() that is reproducible, can be saved and meets academic standards for attribution. Forked from 'wallace'. Code is split into modules that are loaded and linked together automatically and each call one function. Guidance pages explain modules to users and flexible logging informs them of any errors. Options enable asynchronous operations, viewing of source code, interactive maps and data tables. Use to create complex analytical applications, following best practices in open science and software development. Includes functions for automating repetitive development tasks and an example application at run_shinyscholar() that requires install.packages("shinyscholar", dependencies = TRUE). A guide to developing applications can be found on the package website.
Author: Simon E. H. Smart [aut, cre, cph], Tim Lucas [aut] , Jamie M. Kass [ctb], Gonzalo E. Pinilla-Buitrago [ctb], Andrea Paz [ctb], Bethany A. Johnson [ctb], Valentina Grisales-Betancur [ctb], Dean Attali [ctb], Matthew E. Aiello-Lammens [ctb], Cory Merow [...truncated...]
Maintainer: Simon E. H. Smart <simon.smart@cantab.net>

Diff between shinyscholar versions 0.2.2 dated 2025-01-15 and 0.2.3 dated 2025-01-17

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 shinyscholar-0.2.3/shinyscholar/tests/testthat/test-downloads.R     |    3 +
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Permanent link

New package unhcrdown with initial version 0.6.0
Package: unhcrdown
Title: UNHCR Branded Templates for R Markdown Documents
Version: 0.6.0
Description: Create United Nations High Commissioner for Refugees (UNHCR) branded documents, presentations, and reports using R Markdown templates. This package provides customized formats that align with UNHCR's official brand guidelines for creating professional PDF reports, Word documents, PowerPoint presentations, and HTML outputs.
License: MIT + file LICENSE
URL: https://github.com/unhcr-dataviz/unhcrdown, https://unhcr-dataviz.github.io/unhcrdown/
BugReports: https://github.com/unhcr-dataviz/unhcrdown/issues
Imports: bslib, magick, officedown, pagedown, rmarkdown, xaringan
Suggests: fontawesome, knitr
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-01-17 09:09:16 UTC; cvidonne
Author: Cedric Vidonne [aut, cre], Ahmadou Dicko [aut], Edouard Legoupil [aut], UNHCR [cph]
Maintainer: Cedric Vidonne <cedric@vidonne.me>
Repository: CRAN
Date/Publication: 2025-01-17 12:10:05 UTC

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Package lrstat updated to version 0.2.12 with previous version 0.2.11 dated 2024-12-04

Title: Power and Sample Size Calculation for Non-Proportional Hazards and Beyond
Description: Performs power and sample size calculation for non-proportional hazards model using the Fleming-Harrington family of weighted log-rank tests. The sequentially calculated log-rank test score statistics are assumed to have independent increments as characterized in Anastasios A. Tsiatis (1982) <doi:10.1080/01621459.1982.10477898>. The mean and variance of log-rank test score statistics are calculated based on Kaifeng Lu (2021) <doi:10.1002/pst.2069>. The boundary crossing probabilities are calculated using the recursive integration algorithm described in Christopher Jennison and Bruce W. Turnbull (2000, ISBN:0849303168). The package can also be used for continuous, binary, and count data. For continuous data, it can handle missing data through mixed-model for repeated measures (MMRM). In crossover designs, it can estimate direct treatment effects while accounting for carryover effects. For binary data, it can design Simon's 2-stage, modified toxicity probability-2 (mTPI-2), a [...truncated...]
Author: Kaifeng Lu [aut, cre]
Maintainer: Kaifeng Lu <kaifenglu@gmail.com>

Diff between lrstat versions 0.2.11 dated 2024-12-04 and 0.2.12 dated 2025-01-17

 DESCRIPTION                      |    8 
 MD5                              |   97 +--
 NAMESPACE                        |    3 
 NEWS.md                          |   14 
 R/RcppExports.R                  |  896 ++++++++++++++++++------------
 R/getDesignProportions.R         |  209 -------
 R/getDesignSurvivals.R           |  277 +++++++++
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 src/misc.cpp                     |    5 
 src/nbstat.cpp                   |  695 ++++--------------------
 src/rmstat.cpp                   |  546 ++++++++++++++----
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Package georob updated to version 0.3-22 with previous version 0.3-21 dated 2025-01-08

Title: Robust Geostatistical Analysis of Spatial Data
Description: Provides functions for efficiently fitting linear models with spatially correlated errors by robust (Kuensch et al. (2011) <doi:10.3929/ethz-a-009900710>) and Gaussian (Harville (1977) <doi:10.1080/01621459.1977.10480998>) (Restricted) Maximum Likelihood and for computing robust and customary point and block external-drift Kriging predictions (Cressie (1993) <doi:10.1002/9781119115151>), along with utility functions for variogram modelling in ad hoc geostatistical analyses, model building, model evaluation by cross-validation, (conditional) simulation of Gaussian processes (Davies and Bryant (2013) <doi:10.18637/jss.v055.i09>), unbiased back-transformation of Kriging predictions of log-transformed data (Cressie (2006) <doi:10.1007/s11004-005-9022-8>).
Author: Andreas Papritz [aut, cre]
Maintainer: Andreas Papritz <papritz@retired.ethz.ch>

Diff between georob versions 0.3-21 dated 2025-01-08 and 0.3-22 dated 2025-01-17

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 georob-0.3-22/georob/ChangeLog                                             |    5 
 georob-0.3-22/georob/DESCRIPTION                                           |    8 
 georob-0.3-22/georob/MD5                                                   |   22 
 georob-0.3-22/georob/inst/NEWS.Rd                                          |   14 
 georob-0.3-22/georob/inst/doc/georob_vignette.R                            |  254 +-
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 14 files changed, 1356 insertions(+), 1161 deletions(-)

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New package veesa with initial version 0.1.6
Package: veesa
Title: Pipeline for Explainable Machine Learning with Functional Data
Version: 0.1.6
Description: Implements the Variable importance Explainable Elastic Shape Analysis pipeline for explainable machine learning with functional data inputs. Converts training and testing data functional inputs to elastic shape analysis principal components that account for vertical and/or horizontal variability. Computes feature importance to identify important principal components and visualizes variability captured by functional principal components. See Goode et al. (2025) <doi:10.48550/arXiv.2501.07602> for technical details about the methodology.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0)
Imports: dplyr, fdasrvf, forcats, ggplot2, purrr, stats, stringr, tidyr
Suggests: randomForest, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-01-16 21:07:54 UTC; kjgoode
Author: Katherine Goode [cre, aut], J. Derek Tucker [aut], Sandia National Laboratories [cph, fnd]
Maintainer: Katherine Goode <kjgoode@sandia.gov>
Repository: CRAN
Date/Publication: 2025-01-17 10:10:01 UTC

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New package rtables.officer with initial version 0.0.2
Package: rtables.officer
Title: Exporting Tools for 'rtables'
Version: 0.0.2
Date: 2025-01-14
Description: Designed to create and display complex tables with R, the 'rtables' R package allows cells in an 'rtables' object to contain any high-dimensional data structure, which can then be displayed with cell-specific formatting instructions. Additionally, the 'rtables.officer' package supports export formats related to the Microsoft Office software suite, including Microsoft Word ('docx') and Microsoft PowerPoint ('pptx').
License: Apache License 2.0
URL: https://github.com/insightsengineering/rtables.officer, https://insightsengineering.github.io/rtables.officer/
BugReports: https://github.com/insightsengineering/rtables.officer/issues
Depends: formatters (>= 0.5.10), magrittr (>= 1.5), methods, R (>= 2.10), rtables (>= 0.6.11)
Imports: checkmate (>= 2.1.0), flextable (>= 0.9.6), lifecycle (>= 0.2.0), officer (>= 0.6.6), stats, stringi (>= 1.6)
Suggests: broom (>= 1.0.5), car (>= 3.0-13), dplyr (>= 1.0.5), knitr (>= 1.42), r2rtf (>= 0.3.2), rmarkdown (>= 2.23), survival (>= 3.3-1), testthat (>= 3.0.4), tibble (>= 3.2.1), tidyr (>= 1.1.3), withr (>= 2.0.0), xml2 (>= 1.1.0)
VignetteBuilder: knitr, rmarkdown
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2025-01-17 01:47:22 UTC; rstudio
Author: Gabriel Becker [ctb], Davide Garolini [aut], Emily de la Rua [aut], Abinaya Yogasekaram [aut], Joe Zhu [aut, cre] , F. Hoffmann-La Roche AG [cph, fnd]
Maintainer: Joe Zhu <joe.zhu@roche.com>
Repository: CRAN
Date/Publication: 2025-01-17 10:50:01 UTC

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New package MonotonicityTest with initial version 1.0
Package: MonotonicityTest
Author: Dylan Huynh [aut, cre]
Maintainer: Dylan Huynh <dylanhuynh@utexas.edu>
Title: Nonparametric Bootstrap Test for Regression Monotonicity
Version: 1.0
Description: Implements nonparametric bootstrap tests for detecting monotonicity in regression functions from Hall, P. and Heckman, N. (2000) <doi:10.1214/aos/1016120363> Includes tools for visualizing results using Nadaraya-Watson kernel regression and supports efficient computation with 'C++'.
License: GPL
Encoding: UTF-8
LinkingTo: Rcpp, RcppEigen
Imports: Rcpp (>= 1.0.13-1), parallel, stats, graphics, ggplot2 (>= 3.0.0), rlang
Suggests: testthat (>= 3.0.0)
NeedsCompilation: yes
Packaged: 2025-01-16 22:04:57 UTC; dylanh
Repository: CRAN
Date/Publication: 2025-01-17 10:30:02 UTC

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New package zephyr with initial version 0.1.0
Package: zephyr
Title: Structured Messages and Options
Version: 0.1.0
Description: Provides a structured framework for consistent user communication and configuration management for package developers.
License: Apache License (>= 2)
URL: https://novonordisk-opensource.github.io/zephyr/, https://github.com/novonordisk-opensource/zephyr
BugReports: https://github.com/novonordisk-opensource/zephyr/issues
Depends: R (>= 4.1)
Imports: cli, glue, rlang (>= 1.0.0)
Suggests: callr, checkmate, devtools, knitr, rmarkdown, testthat (>= 3.1.5), usethis, withr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-01-16 13:15:02 UTC; oath
Author: Aksel Thomsen [aut, cre], Mathias Lerbech Jeppesen [aut], Cervan Girard [aut], Kristian Troejelsgaard [aut], Lovemore Gakava [aut], Steffen Falgreen Larsen [aut], Vladimir Obucina [aut], Novo Nordisk A/S [cph]
Maintainer: Aksel Thomsen <oath@novonordisk.com>
Repository: CRAN
Date/Publication: 2025-01-17 09:10:02 UTC

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Package rms updated to version 7.0-0 with previous version 6.9-0 dated 2024-12-12

Title: Regression Modeling Strategies
Description: Regression modeling, testing, estimation, validation, graphics, prediction, and typesetting by storing enhanced model design attributes in the fit. 'rms' is a collection of functions that assist with and streamline modeling. It also contains functions for binary and ordinal logistic regression models, ordinal models for continuous Y with a variety of distribution families, and the Buckley-James multiple regression model for right-censored responses, and implements penalized maximum likelihood estimation for logistic and ordinary linear models. 'rms' works with almost any regression model, but it was especially written to work with binary or ordinal regression models, Cox regression, accelerated failure time models, ordinary linear models, the Buckley-James model, generalized least squares for serially or spatially correlated observations, generalized linear models, and quantile regression.
Author: Frank E Harrell Jr [aut, cre]
Maintainer: Frank E Harrell Jr <fh@fharrell.com>

Diff between rms versions 6.9-0 dated 2024-12-12 and 7.0-0 dated 2025-01-17

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 79 files changed, 1842 insertions(+), 1373 deletions(-)

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Package pvda updated to version 0.0.4 with previous version 0.0.3 dated 2024-03-01

Title: Disproportionality Functions for Pharmacovigilance
Description: Tools for performing disproportionality analysis using the information component, proportional reporting rate and the reporting odds ratio. The anticipated use is passing data to the da() function, which executes the disproportionality analysis. See Norén et al (2011) <doi:10.1177/0962280211403604> and Montastruc et al (2011) <doi:10.1111/j.1365-2125.2011.04037.x> for further details.
Author: Oskar Gauffin [aut] , Michele Fusaroli [cre]
Maintainer: Michele Fusaroli <michele.fusaroli@who-umc.org>

Diff between pvda versions 0.0.3 dated 2024-03-01 and 0.0.4 dated 2025-01-17

 DESCRIPTION                               |   21 +++++++++++--------
 MD5                                       |   24 +++++++++++-----------
 NEWS.md                                   |    3 ++
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 13 files changed, 59 insertions(+), 47 deletions(-)

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Package LLMR updated to version 0.1.2 with previous version 0.1.1 dated 2024-10-21

Title: Interface for Large Language Model APIs in R
Description: A unified interface to interact with various Large Language Model (LLM) APIs such as 'OpenAI' (see <https://platform.openai.com/docs/quickstart> for details), 'Anthropic' (see <https://docs.anthropic.com/en/api/getting-started> for details), 'Groq' (see <https://console.groq.com/docs/api-reference> for details), 'Together AI' (see <https://docs.together.ai/docs/quickstart> for details), 'DeepSeek' (see <https://api-docs.deepseek.com> for details), and 'Voyage AI' (see <https://docs.voyageai.com/docs/introduction> for details). Allows users to configure API parameters, send messages, and retrieve responses seamlessly within R.
Author: Ali Sanaei [aut, cre]
Maintainer: Ali Sanaei <sanaei@uchicago.edu>

Diff between LLMR versions 0.1.1 dated 2024-10-21 and 0.1.2 dated 2025-01-17

 DESCRIPTION             |    8 -
 MD5                     |   11 +
 NAMESPACE               |    4 
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 7 files changed, 241 insertions(+), 220 deletions(-)

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New package chartreview with initial version 1.0
Package: chartreview
Title: Adaptive Multi-Wave Sampling for Efficient Chart Validation
Version: 1.0
Date: 2025-01-14
Author: Georg Hahn [aut, cre], Sebastian Schneeweiss [ctb], Shirley Wang [ctb]
Maintainer: Georg Hahn <ghahn@bwh.harvard.edu>
Description: Functionality to perform adaptive multi-wave sampling for efficient chart validation. Code allows one to define strata, adaptively sample using several types of confidence bounds for the quantity of interest (Lai's confidence bands, Bayesian credible intervals, normal confidence intervals), and sampling strategies (random sampling, stratified random sampling, Neyman's sampling, see Neyman (1934) <doi:10.2307/2342192> and Neyman (1938) <doi:10.1080/01621459.1938.10503378>).
License: GPL (>= 2)
Encoding: UTF-8
Imports: Rdpack, anesrake, weights, grDevices, graphics, methods, stats
NeedsCompilation: no
Packaged: 2025-01-16 15:52:10 UTC; acer
Repository: CRAN
Date/Publication: 2025-01-17 09:20:02 UTC

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Package autoslider.core updated to version 0.2.3 with previous version 0.2.2 dated 2025-01-07

Title: Slide Automation for Tables, Listings and Figures
Description: The normal process of creating clinical study slides is that a statistician manually type in the numbers from outputs and a separate statistician to double check the typed in numbers. This process is time consuming, resource intensive, and error prone. Automatic slide generation is a solution to address these issues. It reduces the amount of work and the required time when creating slides, and reduces the risk of errors from manually typing or copying numbers from the output to slides. It also helps users to avoid unnecessary stress when creating large amounts of slide decks in a short time window.
Author: Joe Zhu [cre, aut] , Heng Wang [aut], Yinqi Zhao [aut], Bo Ci [aut], Liming Li [aut], Laura Wang [ctb], Xiaoli Duan [aut], Stefan Pascal Thoma [aut], Thomas Neitmann [ctb], Miles Almond [aut], Mahdi About [ctb], Kai Lim [ctb], Nolan Steed [ctb], Daol [...truncated...]
Maintainer: Joe Zhu <joe.zhu@roche.com>

Diff between autoslider.core versions 0.2.2 dated 2025-01-07 and 0.2.3 dated 2025-01-17

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New package SeedMaker with initial version 1.0.0
Package: SeedMaker
Title: Generate a Collection of Seeds from a Single Seed
Version: 1.0.0
Description: A mechanism for easily generating and organizing a collection of seeds from a single seed, which may be subsequently used to ensure reproducibility in processes/pipelines that utilize multiple random components (e.g., trial simulation).
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: devtools (>= 2.4.5), knitr (>= 1.45), rmarkdown (>= 2.25), testthat (>= 3.2.0), usethis (>= 2.2.2)
Imports: checkmate (>= 2.3.0), dplyr (>= 1.1.4), rlang (>= 1.1.2), tibble (>= 3.2.1), tidyr (>= 1.3.0)
URL: https://github.com/hdhshowalter/SeedMaker
BugReports: https://github.com/hdhshowalter/SeedMaker/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-01-16 12:10:26 UTC; r865461
Author: Hollins Showalter [aut, cre], Eli Lilly and Company [cph, fnd]
Maintainer: Hollins Showalter <hollins.showalter@gmail.com>
Repository: CRAN
Date/Publication: 2025-01-17 09:00:02 UTC

More information about SeedMaker at CRAN
Permanent link

New package duet with initial version 0.1.1
Package: duet
Title: Analysing Non-Verbal Communication in Dyadic Interactions from Video Data
Version: 0.1.1
Description: Analyzes non-verbal communication by processing data extracted from video recordings of dyadic interactions. It supports integration with open source tools, currently limited to 'OpenPose' (Cao et al. (2019) <doi:10.1109/TPAMI.2019.2929257>), converting its outputs into CSV format for further analysis. The package includes functions for data pre-processing, visualization, and computation of motion indices such as velocity, acceleration, and jerkiness (Cook et al. (2013) <doi:10.1093/brain/awt208>), facilitating the analysis of non-verbal cues in paired interactions and contributing to research on human communication dynamics.
License: MIT + file LICENSE
SystemRequirements: FFmpeg (https://ffmpeg.org/)
Imports: dplyr, ggplot2, ggthemes, graphics, grDevices, kza, parallel, patchwork, reshape2, rjson, rlang, signal, stats, stringr, tidyr, tidyselect, tools, utils, zoo
Suggests: spelling, testthat (>= 3.0.0)
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2025-01-16 11:32:32 UTC; tefthimi
Author: Themis Efthimiou [aut, cre]
Maintainer: Themis Efthimiou <themiftw20@gmail.com>
Repository: CRAN
Date/Publication: 2025-01-17 08:50:02 UTC

More information about duet at CRAN
Permanent link

Package spacesXYZ updated to version 1.4-0 with previous version 1.3-0 dated 2024-01-23

Title: CIE XYZ and some of Its Derived Color Spaces
Description: Functions for converting among CIE XYZ, xyY, Lab, and Luv. Calculate Correlated Color Temperature (CCT) and the Planckian and daylight loci. The XYZs of some standard illuminants and some standard linear chromatic adaptation transforms (CATs) are included. Three standard color difference metrics are included.
Author: Glenn Davis [aut, cre]
Maintainer: Glenn Davis <gdavis@gluonics.com>

Diff between spacesXYZ versions 1.3-0 dated 2024-01-23 and 1.4-0 dated 2025-01-17

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Package tern updated to version 0.9.7 with previous version 0.9.6 dated 2024-09-24

Title: Create Common TLGs Used in Clinical Trials
Description: Table, Listings, and Graphs (TLG) library for common outputs used in clinical trials.
Author: Joe Zhu [aut, cre], Daniel Sabanes Bove [aut], Jana Stoilova [aut], Davide Garolini [aut], Emily de la Rua [aut], Abinaya Yogasekaram [aut], Heng Wang [aut], Francois Collin [aut], Adrian Waddell [aut], Pawel Rucki [aut], Chendi Liao [aut], Jennifer [...truncated...]
Maintainer: Joe Zhu <joe.zhu@roche.com>

Diff between tern versions 0.9.6 dated 2024-09-24 and 0.9.7 dated 2025-01-17

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Permanent link

Package glmnetr updated to version 0.5-5 with previous version 0.5-4 dated 2024-10-24

Title: Nested Cross Validation for the Relaxed Lasso and Other Machine Learning Models
Description: Cross validation informed Relaxed LASSO, Artificial Neural Network (ANN), gradient boosting machine ('xgboost'), Random Forest ('RandomForestSRC'), Oblique Random Forest ('aorsf'), Recursive Partitioning ('RPART') or step wise regression models are fit. Cross validation leave out samples (leading to nested cross validation) or bootstrap out-of-bag samples are used to evaluate and compare performances between these models with results presented in tabular or graphical means. Calibration plots can also be generated, again based upon (outer nested) cross validation or bootstrap leave out (out of bag) samples. For some datasets, for example when the design matrix is not of full rank, 'glmnet' may have very long run times when fitting the relaxed lasso model, from our experience when fitting Cox models on data with many predictors and many patients, making it difficult to get solutions from either glmnet() or cv.glmnet(). This may be remedied by using the 'path=TRUE' option when calling [...truncated...]
Author: Walter K Kremers [aut, cre] , Nicholas B Larson [ctb]
Maintainer: Walter K Kremers <kremers.walter@mayo.edu>

Diff between glmnetr versions 0.5-4 dated 2024-10-24 and 0.5-5 dated 2025-01-17

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Package unstruwwel (with last version 0.2.1) was removed from CRAN

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

2024-08-28 0.2.1
2022-08-31 0.2.0
2021-01-19 0.1.0

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Thu, 16 Jan 2025

Package systemfonts updated to version 1.2.0 with previous version 1.1.0 dated 2024-05-15

Title: System Native Font Finding
Description: Provides system native access to the font catalogue. As font handling varies between systems it is difficult to correctly locate installed fonts across different operating systems. The 'systemfonts' package provides bindings to the native libraries on Windows, macOS and Linux for finding font files that can then be used further by e.g. graphic devices. The main use is intended to be from compiled code but 'systemfonts' also provides access from R.
Author: Thomas Lin Pedersen [aut, cre] , Jeroen Ooms [aut] , Devon Govett [aut] , Posit, PBC [cph, fnd]
Maintainer: Thomas Lin Pedersen <thomas.pedersen@posit.co>

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Package gcplyr updated to version 1.11.0 with previous version 1.10.0 dated 2024-07-09

Title: Wrangle and Analyze Growth Curve Data
Description: Easy wrangling and model-free analysis of microbial growth curve data, as commonly output by plate readers. Tools for reshaping common plate reader outputs into 'tidy' formats and merging them with design information, making data easy to work with using 'gcplyr' and other packages. Also streamlines common growth curve processing steps, like smoothing and calculating derivatives, and facilitates model-free characterization and analysis of growth data. See methods at <https://mikeblazanin.github.io/gcplyr/>.
Author: Mike Blazanin [aut, cre]
Maintainer: Mike Blazanin <mikeblazanin@gmail.com>

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Package OmopSketch updated to version 0.2.1 with previous version 0.2.0 dated 2025-01-08

Title: Characterise Tables of an OMOP Common Data Model Instance
Description: Summarises key information in data mapped to the Observational Medical Outcomes Partnership (OMOP) common data model. Assess suitability to perform specific epidemiological studies and explore the different domains to obtain feasibility counts and trends.
Author: Marta Alcalde-Herraiz [aut] , Kim Lopez-Guell [aut] , Elin Rowlands [aut] , Cecilia Campanile [aut, cre] , Edward Burn [aut] , Marti Catala [aut]
Maintainer: Cecilia Campanile <cecilia.campanile@ndorms.ox.ac.uk>

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Package mirai updated to version 2.0.1 with previous version 2.0.0 dated 2025-01-08

Title: Minimalist Async Evaluation Framework for R
Description: Designed for simplicity, a 'mirai' evaluates an R expression asynchronously in a parallel process, locally or distributed over the network, with the result automatically available upon completion. Modern networking and concurrency built on 'nanonext' and 'NNG' (Nanomsg Next Gen) ensure reliable and efficient scheduling, over fast inter-process communications or TCP/IP secured by TLS. Advantages include being inherently queued thus handling many more tasks than available processes, no storage on the file system, support for otherwise non-exportable reference objects, an event-driven promises implementation, and built-in asynchronous parallel map.
Author: Charlie Gao [aut, cre] , Joe Cheng [ctb], Hibiki AI Limited [cph], Posit Software, PBC [cph]
Maintainer: Charlie Gao <charlie.gao@shikokuchuo.net>

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Package gslnls updated to version 1.4.0 with previous version 1.3.2 dated 2024-05-01

Title: GSL Multi-Start Nonlinear Least-Squares Fitting
Description: An R interface to weighted nonlinear least-squares optimization with the GNU Scientific Library (GSL), see M. Galassi et al. (2009, ISBN:0954612078). The available trust region methods include the Levenberg-Marquardt algorithm with and without geodesic acceleration, the Steihaug-Toint conjugate gradient algorithm for large systems and several variants of Powell's dogleg algorithm. Multi-start optimization based on quasi-random samples is implemented using a modified version of the algorithm in Hickernell and Yuan (1997, OR Transactions). Robust nonlinear regression can be performed using various robust loss functions, in which case the optimization problem is solved by iterative reweighted least squares (IRLS). Bindings are provided to tune a number of parameters affecting the low-level aspects of the trust region algorithms. The interface mimics R's nls() function and returns model objects inheriting from the same class.
Author: Joris Chau [aut, cre]
Maintainer: Joris Chau <joris.chau@openanalytics.eu>

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Package epiworldR updated to version 0.6.0.0 with previous version 0.3-2 dated 2024-10-08

Title: Fast Agent-Based Epi Models
Description: A flexible framework for Agent-Based Models (ABM), the 'epiworldR' package provides methods for prototyping disease outbreaks and transmission models using a 'C++' backend, making it very fast. It supports multiple epidemiological models, including the Susceptible-Infected-Susceptible (SIS), Susceptible-Infected-Removed (SIR), Susceptible-Exposed-Infected-Removed (SEIR), and others, involving arbitrary mitigation policies and multiple-disease models. Users can specify infectiousness/susceptibility rates as a function of agents' features, providing great complexity for the model dynamics. Furthermore, 'epiworldR' is ideal for simulation studies featuring large populations.
Author: George Vega Yon [aut] , Derek Meyer [aut] , Andrew Pulsipher [aut, cre] , Susan Holmes [rev] , Abinash Satapathy [rev] , Carinogurjao [rev], Centers for Disease Control and Prevention [fnd]
Maintainer: Andrew Pulsipher <pulsipher.a@gmail.com>

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Package bench updated to version 1.1.4 with previous version 1.1.3 dated 2023-05-04

Title: High Precision Timing of R Expressions
Description: Tools to accurately benchmark and analyze execution times for R expressions.
Author: Jim Hester [aut], Davis Vaughan [aut, cre], Drew Schmidt [ctb] , Posit Software, PBC [cph, fnd]
Maintainer: Davis Vaughan <davis@posit.co>

Diff between bench versions 1.1.3 dated 2023-05-04 and 1.1.4 dated 2025-01-16

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Package webmap updated to version 1.1.1 with previous version 1.1.0 dated 2024-03-25

Title: Create Interactive Web Maps Using 'The National Map' Services
Description: Creates interactive web maps using the 'JavaScript' 'Leaflet' library with base layers of 'The National Map' ('TNM'). 'TNM' services provide access to base geospatial information that describes the landscape of the United States and its territories. This package is dependent on, and intended to be used with, the 'leaflet' package.
Author: Jason C. Fisher [aut, cre] , Stefano Cudini [ctb, cph] , John Firebaugh [ctb, cph]
Maintainer: Jason C. Fisher <jfisher@usgs.gov>

Diff between webmap versions 1.1.0 dated 2024-03-25 and 1.1.1 dated 2025-01-16

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Package eq5d updated to version 0.15.6 with previous version 0.15.5 dated 2024-11-20

Title: Methods for Analysing 'EQ-5D' Data and Calculating 'EQ-5D' Index Scores
Description: EQ-5D is a popular health related quality of life instrument used in the clinical and economic evaluation of health care. Developed by the EuroQol group <https://euroqol.org/>, the instrument consists of two components: health state description and evaluation. For the description component a subject self-rates their health in terms of five dimensions; mobility, self-care, usual activities, pain/discomfort, and anxiety/depression using either a three-level (EQ-5D-3L, <https://euroqol.org/information-and-support/euroqol-instruments/eq-5d-3l/>) or a five-level (EQ-5D-5L, <https://euroqol.org/information-and-support/euroqol-instruments/eq-5d-5l/>) scale. Frequently the scores on these five dimensions are converted to a single utility index using country specific value sets, which can be used in the clinical and economic evaluation of health care as well as in population health surveys. The eq5d package provides methods to calculate index scores from a subject's dimension [...truncated...]
Author: Fraser Morton [aut, cre], Jagtar Singh Nijjar [aut]
Maintainer: Fraser Morton <fraser.morton@glasgow.ac.uk>

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Package amadeus updated to version 1.2.3 with previous version 1.2.2 dated 2025-01-08

Title: Accessing and Analyzing Large-Scale Environmental Data
Description: Functions are designed to facilitate access to and utility with large scale, publicly available environmental data in R. The package contains functions for downloading raw data files from web URLs (download_data()), processing the raw data files into clean spatial objects (process_covariates()), and extracting values from the spatial data objects at point and polygon locations (calculate_covariates()). These functions call a series of source-specific functions which are tailored to each data sources/datasets particular URL structure, data format, and spatial/temporal resolution. The functions are tested, versioned, and open source and open access. For sum_edc() method details, see Messier, Akita, and Serre (2012) <doi:10.1021/es203152a>.
Author: Mitchell Manware [aut, ctb] , Insang Song [aut, ctb] , Eva Marques [aut, ctb] , Mariana Alifa Kassien [aut, ctb] , Elizabeth Scholl [ctb] , Kyle Messier [aut, cre] , Spatiotemporal Exposures and Toxicology Group [cph]
Maintainer: Kyle Messier <kyle.messier@nih.gov>

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Package spdep updated to version 1.3-9 with previous version 1.3-8 dated 2024-12-02

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

Diff between spdep versions 1.3-8 dated 2024-12-02 and 1.3-9 dated 2025-01-16

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Package solaR2 updated to version 0.11 with previous version 0.10 dated 2024-09-16

Title: Radiation and Photovoltaic Systems
Description: Provides tools for calculating solar geometry, solar radiation on horizontal and inclined planes, and simulating the performance of various photovoltaic (PV) systems. Supports daily and intradaily irradiation data, enabling detailed analysis of grid-connected and water-pumping PV systems, including shading effects and solar angle calculations.
Author: Oscar Perpinan-Lamigueiro [aut] , Francisco Delgado-Lopez [aut, cre]
Maintainer: Francisco Delgado-Lopez <f.delgadol@alumnos.upm.es>

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Package sketchy updated to version 1.0.5 with previous version 1.0.4 dated 2024-09-02

Title: Create Custom Research Compendiums
Description: Provides functions to create and manage research compendiums for data analysis. Research compendiums are a standard and intuitive folder structure for organizing the digital materials of a research project, which can significantly improve reproducibility. The package offers several compendium structure options that fit different research project as well as the ability of duplicating the folder structure of existing projects or implementing custom structures. It also simplifies the use of version control.
Author: Marcelo Araya-Salas [aut, cre] , Andrea Yure Arriaga Madrigal [aut]
Maintainer: Marcelo Araya-Salas <marcelo.araya@ucr.ac.cr>

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Package secretbase updated to version 1.0.4 with previous version 1.0.3 dated 2024-10-02

Title: Cryptographic Hash, Extendable-Output and Base64 Functions
Description: Fast and memory-efficient streaming hash functions and base64 encoding / decoding. Hashes strings and raw vectors directly. Stream hashes files which can be larger than memory, as well as in-memory objects through R's serialization mechanism. Implementations include the SHA-256, SHA-3 and 'Keccak' cryptographic hash functions, SHAKE256 extendable-output function (XOF), and 'SipHash' pseudo-random function.
Author: Charlie Gao [aut, cre] , Hibiki AI Limited [cph]
Maintainer: Charlie Gao <charlie.gao@shikokuchuo.net>

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Package soilDB updated to version 2.8.7 with previous version 2.8.5 dated 2024-11-04

Title: Soil Database Interface
Description: A collection of functions for reading soil data from U.S. Department of Agriculture Natural Resources Conservation Service (USDA-NRCS) and National Cooperative Soil Survey (NCSS) databases.
Author: Dylan Beaudette [aut], Jay Skovlin [aut], Stephen Roecker [aut], Andrew Brown [aut, cre]
Maintainer: Andrew Brown <andrew.g.brown@usda.gov>

Diff between soilDB versions 2.8.5 dated 2024-11-04 and 2.8.7 dated 2025-01-16

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Package pak updated to version 0.8.0.1 with previous version 0.8.0 dated 2024-08-26

Title: Another Approach to Package Installation
Description: The goal of 'pak' is to make package installation faster and more reliable. In particular, it performs all HTTP operations in parallel, so metadata resolution and package downloads are fast. Metadata and package files are cached on the local disk as well. 'pak' has a dependency solver, so it finds version conflicts before performing the installation. This version of 'pak' supports CRAN, 'Bioconductor' and 'GitHub' packages as well.
Author: Gabor Csardi [aut, cre], Jim Hester [aut], Posit Software, PBC [cph, fnd], Winston Chang [ctb] , Ascent Digital Services [cph, fnd] , Hadley Wickham [ctb, cph] , Jeroen Ooms [ctb] , Maelle Salmon [ctb] , Duncan Temple Lang [ctb] , Lloyd Hilaiel [cph] [...truncated...]
Maintainer: Gabor Csardi <csardi.gabor@gmail.com>

Diff between pak versions 0.8.0 dated 2024-08-26 and 0.8.0.1 dated 2025-01-16

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Package gridpattern updated to version 1.3.1 with previous version 1.2.2 dated 2024-06-03

Title: 'grid' Pattern Grobs
Description: Provides 'grid' grobs that fill in a user-defined area with various patterns. Includes enhanced versions of the geometric and image-based patterns originally contained in the 'ggpattern' package as well as original 'pch', 'polygon_tiling', 'regular_polygon', 'rose', 'text', 'wave', and 'weave' patterns plus support for custom user-defined patterns.
Author: Trevor L. Davis [aut, cre] , Mike FC [aut] , ggplot2 authors [ctb]
Maintainer: Trevor L. Davis <trevor.l.davis@gmail.com>

Diff between gridpattern versions 1.2.2 dated 2024-06-03 and 1.3.1 dated 2025-01-16

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Package raster updated to version 3.6-31 with previous version 3.6-30 dated 2024-10-02

Title: Geographic Data Analysis and Modeling
Description: Reading, writing, manipulating, analyzing and modeling of spatial data. This package has been superseded by the "terra" package <https://CRAN.R-project.org/package=terra>.
Author: Robert J. Hijmans [cre, aut] , Jacob van Etten [ctb], Michael Sumner [ctb], Joe Cheng [ctb], Dan Baston [ctb], Andrew Bevan [ctb], Roger Bivand [ctb], Lorenzo Busetto [ctb], Mort Canty [ctb], Ben Fasoli [ctb], David Forrest [ctb], Aniruddha Ghosh [ct [...truncated...]
Maintainer: Robert J. Hijmans <r.hijmans@gmail.com>

Diff between raster versions 3.6-30 dated 2024-10-02 and 3.6-31 dated 2025-01-16

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Package pkgbuild updated to version 1.4.6 with previous version 1.4.5 dated 2024-10-28

Title: Find Tools Needed to Build R Packages
Description: Provides functions used to build R packages. Locates compilers needed to build R packages on various platforms and ensures the PATH is configured appropriately so R can use them.
Author: Hadley Wickham [aut], Jim Hester [aut], Gabor Csardi [aut, cre], Posit Software, PBC [cph, fnd]
Maintainer: Gabor Csardi <csardi.gabor@gmail.com>

Diff between pkgbuild versions 1.4.5 dated 2024-10-28 and 1.4.6 dated 2025-01-16

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Package ern updated to version 2.1.2 with previous version 2.0.0 dated 2024-04-22

Title: Effective Reproduction Number Estimation
Description: Estimate the effective reproduction number from wastewater and clinical data sources.
Author: David Champredon [aut, cre] , Warsame Yusuf [aut] , Irena Papst [aut]
Maintainer: David Champredon <david.champredon@canada.ca>

Diff between ern versions 2.0.0 dated 2024-04-22 and 2.1.2 dated 2025-01-16

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Package segtest updated to version 1.0.2 with previous version 1.0.1 dated 2024-10-21

Title: Tests for Segregation Distortion in Polyploids
Description: Provides a suite of tests for segregation distortion in F1 polyploid populations (for now, just tetraploids). This is under different assumptions of meiosis. Details of these methods are described in Gerard et al. (2025) <doi:10.1007/s00122-025-04816-z>. This material is based upon work supported by the National Science Foundation under Grant No. 2132247. The opinions, findings, and conclusions or recommendations expressed are those of the author and do not necessarily reflect the views of the National Science Foundation.
Author: David Gerard [aut, cre] , Mira Thakkar [aut], NSF DBI 2132247 [fnd]
Maintainer: David Gerard <gerard.1787@gmail.com>

Diff between segtest versions 1.0.1 dated 2024-10-21 and 1.0.2 dated 2025-01-16

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