Thu, 24 Apr 2025

Package SSP updated to version 1.0.2 with previous version 1.0.1 dated 2020-03-28

Title: Simulated Sampling Procedure for Community Ecology
Description: The Simulation-based Sampling Protocol (SSP) is an R package designed to estimate sampling effort in studies of ecological communities. It is based on the concept of pseudo-multivariate standard error (MultSE) (Anderson & Santana-Garcon, 2015, <doi:10.1111/ele.12385>) and the simulation of ecological data. The theoretical background is described in Guerra-Castro et al. (2020, <doi:10.1111/ecog.05284>).
Author: Edlin Guerra-Castro [aut, cre], Maite Mascaro [aut], Nuno Simoes [aut], Juan Cruz-Motta [aut], Juan Cajas [aut]
Maintainer: Edlin Guerra-Castro <edlinguerra@gmail.com>

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More information about SSP at CRAN
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Package dendrometry updated to version 0.0.3 with previous version 0.0.2 dated 2023-02-07

Title: Forest Estimations and Dendrometric Computations
Description: Computation of dendrometric and structural parameters from forest inventory data. The objective is to provide an user-friendly R package for researchers, ecologists, foresters, statisticians, loggers and others persons who deal with forest inventory data. Useful conversion of angle value from degree to radian, conversion from angle to slope (in percentage) and their reciprocals as well as principal angle determination are also included. Position and dispersion parameters usually found in forest studies are implemented. The package contains Fibonacci series, its extensions and the Golden Number computation. Useful references are Arcadius Y. J. Akossou, Soufianou Arzouma, Eloi Y. Attakpa, Noël H. Fonton and Kouami Kokou (2013) <doi:10.3390/d5010099> and W. Bonou, R. Glele Kakaï, A.E. Assogbadjo, H.N. Fonton, B. Sinsin (2009) <doi:10.1016/j.foreco.2009.05.032> .
Author: Narcisse Yehouenou [aut, cre], Information and Communication Technology for you ONG [fnd]
Maintainer: Narcisse Yehouenou <narcisstar211@gmail.com>

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Package MonotonicityTest updated to version 1.2 with previous version 1.1 dated 2025-04-02

Title: Nonparametric Bootstrap Test for Regression Monotonicity
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++'.
Author: Dylan Huynh [aut, cre]
Maintainer: Dylan Huynh <dylanhuynh@utexas.edu>

Diff between MonotonicityTest versions 1.1 dated 2025-04-02 and 1.2 dated 2025-04-24

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Package tiledb updated to version 0.31.1 with previous version 0.30.2 dated 2024-10-04

Title: Modern Database Engine for Complex Data Based on Multi-Dimensional Arrays
Description: The modern database 'TileDB' introduces a powerful on-disk format for storing and accessing any complex data based on multi-dimensional arrays. It supports dense and sparse arrays, dataframes and key-values stores, cloud storage ('S3', 'GCS', 'Azure'), chunked arrays, multiple compression, encryption and checksum filters, uses a fully multi-threaded implementation, supports parallel I/O, data versioning ('time travel'), metadata and groups. It is implemented as an embeddable cross-platform C++ library with APIs from several languages, and integrations. This package provides the R support.
Author: TileDB, Inc. [aut, cph], Isaiah Norton [cre]
Maintainer: Isaiah Norton <isaiah@tiledb.com>

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 tiledb-0.31.1/tiledb/man/tiledb_group.Rd                                   |    4 
 tiledb-0.31.1/tiledb/man/tiledb_group_add_member.Rd                        |    9 
 tiledb-0.31.1/tiledb/man/tiledb_group_close.Rd                             |    3 
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 tiledb-0.31.1/tiledb/man/tiledb_group_open.Rd                              |    7 
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 tiledb-0.31.1/tiledb/man/tiledb_group_remove_member.Rd                     |    7 
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 tiledb-0.31.1/tiledb/man/tiledb_group_uri.Rd                               |    3 
 tiledb-0.31.1/tiledb/man/tiledb_is_supported_fs.Rd                         |    4 
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 tiledb-0.31.1/tiledb/man/tiledb_ndrectangle.Rd                             |    8 
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 tiledb-0.31.1/tiledb/man/tiledb_ndrectangle_dim_num.Rd                     |   10 
 tiledb-0.31.1/tiledb/man/tiledb_ndrectangle_get_range.Rd                   |   12 
 tiledb-0.31.1/tiledb/man/tiledb_ndrectangle_set_range.Rd                   |   10 
 tiledb-0.31.1/tiledb/man/tiledb_query.Rd                                   |    8 
 tiledb-0.31.1/tiledb/man/tiledb_stats_dump.Rd                              |    4 
 tiledb-0.31.1/tiledb/man/tiledb_stats_raw_dump.Rd                          |    4 
 tiledb-0.31.1/tiledb/man/tiledb_version.Rd                                 |    4 
 tiledb-0.31.1/tiledb/man/tiledb_vfs.Rd                                     |    4 
 tiledb-0.31.1/tiledb/man/tiledb_vfs_close.Rd                               |    3 
 tiledb-0.31.1/tiledb/man/tiledb_vfs_copy_dir.Rd                            |only
 tiledb-0.31.1/tiledb/man/tiledb_vfs_copy_file.Rd                           |    2 
 tiledb-0.31.1/tiledb/man/tiledb_vfs_is_bucket.Rd                           |    4 
 tiledb-0.31.1/tiledb/man/tiledb_vfs_is_empty_bucket.Rd                     |    4 
 tiledb-0.31.1/tiledb/man/tiledb_vfs_read.Rd                                |   16 
 tiledb-0.31.1/tiledb/man/tiledb_vfs_sync.Rd                                |    3 
 tiledb-0.31.1/tiledb/man/tiledb_vfs_write.Rd                               |   11 
 tiledb-0.31.1/tiledb/src/Makevars.win                                      |    9 
 tiledb-0.31.1/tiledb/src/RcppExports.cpp                                   |   14 
 tiledb-0.31.1/tiledb/src/libtiledb.cpp                                     |    8 
 tiledb-0.31.1/tiledb/src/nanoarrow.hpp                                     |    2 
 tiledb-0.31.1/tiledb/src/shmem.cpp                                         |   10 
 tiledb-0.31.1/tiledb/tests/pkgconfig-test.R                                |only
 tiledb-0.31.1/tiledb/tests/tinytest.R                                      |    8 
 tiledb-0.31.1/tiledb/tools/buildTileDB.sh                                  |    2 
 tiledb-0.31.1/tiledb/tools/ci/valgrind/buildTileDB.sh                      |    2 
 tiledb-0.31.1/tiledb/tools/fetchTileDBSrc.R                                |    4 
 tiledb-0.31.1/tiledb/tools/tiledbVersion.txt                               |    4 
 tiledb-0.31.1/tiledb/tools/winlibs.R                                       |   24 
 tiledb-0.31.1/tiledb/vignettes/introduction.md                             |    4 
 228 files changed, 6571 insertions(+), 4709 deletions(-)

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New package verdata with initial version 1.0.0
Package: verdata
Title: Analyze Data from the Truth Commission in Colombia
Version: 1.0.0
Maintainer: Maria Gargiulo <mariag@hrdag.org>
Description: Facilitates use and analysis of data about the armed conflict in Colombia resulting from the joint project between La Jurisdicción Especial para la Paz (JEP), La Comisión para el Esclarecimiento de la Verdad, la Convivencia y la No repetición (CEV), and the Human Rights Data Analysis Group (HRDAG). The data are 100 replicates from a multiple imputation through chained equations as described in Van Buuren and Groothuis-Oudshoorn (2011) <doi:10.18637/jss.v045.i03>. With the replicates the user can examine four human rights violations that occurred in the Colombian conflict accounting for the impact of missing fields and fully missing observations.
License: GPL-2
URL: https://github.com/HRDAG/verdata
BugReports: https://github.com/HRDAG/verdata/issues
Depends: R (>= 3.5)
Imports: arrow, assertr, base, digest, dplyr, glue, LCMCR, logger, magrittr, purrr, Rdpack, readr, rjson, rlang, stats, stringr, tibble, tidyr, tidyselect, tools
Suggests: covr, spelling, testthat (>= 3.0.0)
Encoding: UTF-8
Language: en-US
LazyData: true
NeedsCompilation: no
Packaged: 2025-04-23 11:35:23 UTC; mariagargiulo
Author: Maria Gargiulo [aut, cre], Maria Juliana Duran [aut], Paula Andrea Amado [aut], Patrick Ball [rev]
Repository: CRAN
Date/Publication: 2025-04-24 18:00:02 UTC

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New package trc with initial version 0.2
Package: trc
Title: Truncated Rank Correlation
Version: 0.2
Date: 2025-04-15
Maintainer: Donghyeon Yu <dyu@inha.ac.kr>
Suggests:
Description: A new measure of similarity between a pair of mass spectrometry (MS) experiments, called truncated rank correlation (TRC). To provide a robust metric of similarity in noisy high-dimensional data, TRC uses truncated top ranks (or top m-ranks) for calculating correlation. Truncated rank correlation as a robust measure of test-retest reliability in mass spectrometry data. For more details see Lim et al. (2019) <doi:10.1515/sagmb-2018-0056>.
License: GPL (>= 2)
URL: https://sites.google.com/site/dhyeonyu/software
Packaged: 2025-04-22 21:27:10 UTC; dyu
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2025-04-24 17:20:02 UTC
Author: Johan Lim [aut], Donghyeon Yu [aut, cre], Hsun-chih Kuo [aut], Hyungwon Choi [aut], Scott Walmsley [aut]

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Package spdep updated to version 1.3-11 with previous version 1.3-10 dated 2025-01-20

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 1.3-10 dated 2025-01-20 and 1.3-11 dated 2025-04-24

 spdep-1.3-10/spdep/inst/etc/misc/contiguity-myid.swm                |only
 spdep-1.3-10/spdep/inst/etc/misc/contiguity-unique-id-islands.swm   |only
 spdep-1.3-10/spdep/inst/etc/misc/contiguity-unique-id.swm           |only
 spdep-1.3-10/spdep/inst/etc/misc/nc-contiguity-unique-id-island.swm |only
 spdep-1.3-10/spdep/inst/etc/misc/nc-contiguity-unique-id.swm        |only
 spdep-1.3-11/spdep/DESCRIPTION                                      |    8 -
 spdep-1.3-11/spdep/MD5                                              |   53 ++++------
 spdep-1.3-11/spdep/NAMESPACE                                        |    7 -
 spdep-1.3-11/spdep/NEWS.md                                          |   12 +-
 spdep-1.3-11/spdep/R/SD.RStests.R                                   |   21 ++-
 spdep-1.3-11/spdep/R/cat_durbin.R                                   |only
 spdep-1.3-11/spdep/build/partial.rdb                                |binary
 spdep-1.3-11/spdep/build/vignette.rds                               |binary
 spdep-1.3-11/spdep/inst/doc/CO69.html                               |    6 -
 spdep-1.3-11/spdep/inst/doc/nb_sf.Rmd                               |    2 
 spdep-1.3-11/spdep/inst/doc/nb_sf.html                              |   33 +++---
 spdep-1.3-11/spdep/inst/doc/sids.html                               |   16 +--
 spdep-1.3-11/spdep/inst/doc/subgraphs.R                             |   13 +-
 spdep-1.3-11/spdep/inst/doc/subgraphs.Rmd                           |   13 +-
 spdep-1.3-11/spdep/inst/doc/subgraphs.html                          |   28 ++---
 spdep-1.3-11/spdep/inst/tinytest/test_Durbin_factor.R               |only
 spdep-1.3-11/spdep/man/SD.RStests.Rd                                |   15 ++
 spdep-1.3-11/spdep/man/bhicv.Rd                                     |    3 
 spdep-1.3-11/spdep/man/joincount.multi.Rd                           |    3 
 spdep-1.3-11/spdep/man/licd_multi.Rd                                |    3 
 spdep-1.3-11/spdep/man/localC.Rd                                    |    2 
 spdep-1.3-11/spdep/man/mstree.Rd                                    |    3 
 spdep-1.3-11/spdep/man/read.gwt2nb.Rd                               |    3 
 spdep-1.3-11/spdep/man/skater.Rd                                    |    3 
 spdep-1.3-11/spdep/vignettes/nb_sf.Rmd                              |    2 
 spdep-1.3-11/spdep/vignettes/subgraphs.Rmd                          |   13 +-
 31 files changed, 148 insertions(+), 114 deletions(-)

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New package PacketLLM with initial version 0.1.0
Package: PacketLLM
Title: Interactive 'OpenAI' Model Integration in 'RStudio'
Version: 0.1.0
Description: Offers an interactive 'RStudio' gadget interface for communicating with 'OpenAI' large language models (e.g., 'gpt-4o', 'gpt-4o-mini', 'gpt-4.1', 'o1', 'o3-mini') (<https://platform.openai.com/docs/api-reference>). Enables users to conduct multiple chat conversations simultaneously in separate tabs. Supports uploading local files (R, PDF, DOCX) to provide context for the models. Allows per-conversation configuration of model parameters such as temperature and system messages (where supported by the model). API interactions via the 'httr' package are performed asynchronously using 'promises' and 'future' to avoid blocking the R console. Useful for tasks like code generation, text summarization, and document analysis directly within the 'RStudio' environment. Requires an 'OpenAI' API key set as an environment variable.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/AntoniCzolgowski/PacketLLM
BugReports: https://github.com/AntoniCzolgowski/PacketLLM/issues
Imports: future, httr, pdftools, promises, readtext, shiny, shinyjs, stats, tools, utils
Depends: R (>= 4.1.0)
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-04-22 17:11:58 UTC; anton
Author: Antoni Czolgowski [aut, cre]
Maintainer: Antoni Czolgowski <antoni.czolgowski@gmail.com>
Repository: CRAN
Date/Publication: 2025-04-24 17:10:06 UTC

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New package OPCreg with initial version 0.2.0
Package: OPCreg
Title: Online Principal Component Regression for Online Datasets
Date: 2025-04-03
Version: 0.2.0
Description: The online principal component regression method can process the online data set. 'OPCreg' implements the online principal component regression method, which is specifically designed to process online datasets efficiently. This method is particularly useful for handling large-scale, streaming data where traditional batch processing methods may be computationally infeasible.The philosophy of the package is described in 'Guo' (2025) <doi:10.1016/j.physa.2024.130308>.
Imports: MASS, stats, Matrix, car
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-04-23 11:01:30 UTC; Administrator
Author: Guangbao Guo [aut, cre] , Chunjie Wei [aut]
Maintainer: Guangbao Guo <ggb11111111@163.com>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2025-04-24 17:50:03 UTC
Encoding: UTF-8
License: GPL-3

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New package nprcgenekeepr with initial version 1.0.7
Package: nprcgenekeepr
Title: Genetic Tools for Colony Management
Version: 1.0.7
Description: Provides genetic tools for colony management and is a derivation of the work in Amanda Vinson and Michael J Raboin (2015) <https://pmc.ncbi.nlm.nih.gov/articles/PMC4671785/> "A Practical Approach for Designing Breeding Groups to Maximize Genetic Diversity in a Large Colony of Captive Rhesus Macaques ('Macaca' 'mulatto')". It provides a 'Shiny' application with an exposed API. The application supports five groups of functions: (1) Quality control of studbooks contained in text files or 'Excel' workbooks and of pedigrees within 'LabKey' Electronic Health Records (EHR); (2) Creation of pedigrees from a list of animals using the 'LabKey' EHR integration; (3) Creation and display of an age by sex pyramid plot of the living animals within the designated pedigree; (4) Generation of genetic value analysis reports; and (5) Creation of potential breeding groups with and without proscribed sex ratios and defined maximum kinships.
URL: https://rmsharp.github.io/nprcgenekeepr/, https://github.com/rmsharp/nprcgenekeepr
BugReports: https://github.com/rmsharp/nprcgenekeepr/issues
Depends: R (>= 3.6.0)
Imports: anytime, data.table, futile.logger, htmlTable, lifecycle, lubridate, Matrix, plotrix, readxl, Rlabkey, sessioninfo, shiny, stringi, utils, WriteXLS
Suggests: covr, dplyr, ggplot2, grid, kableExtra, knitr, markdown, pkgdown, png, rmarkdown, roxygen2 (>= 7.3.2), shinyBS, shinyWidgets, spelling, testthat
Language: en-US
Encoding: UTF-8
License: MIT + file LICENSE
LazyData: TRUE
VignetteBuilder: knitr, rmarkdown
NeedsCompilation: no
Packaged: 2025-04-22 19:08:14 UTC; rmsharp
Author: Michael Raboin [aut], Terry Therneau [aut], Amanda Vinson [aut, dtc], R. Mark Sharp [aut, cre, cph, dtc] , Matthew Schultz [aut] , Southwest National Primate Research Center NIH grant P51 RR13986 [fnd], Oregon National Primate Research Center grant P [...truncated...]
Maintainer: R. Mark Sharp <rmsharp@me.com>
Repository: CRAN
Date/Publication: 2025-04-24 17:20:05 UTC

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New package itrimhoch with initial version 1.0.0
Package: itrimhoch
Title: Improved Trimmed Weighted Hochberg Procedures and Sample Size Optimization
Version: 1.0.0
Description: The improved trimmed weighted Hochberg procedure provides increased statistical power and relaxes the dependence assumptions for familywise error rate control compared to the original weighted Hochberg procedure. This package computes the boundaries required for implementing the proposed methodology and includes sample size optimization methods. See Gou, J., Chang, Y., Li, T., and Zhang, F.(2025). Improved trimmed weighted Hochberg procedures with two endpoints and sample size optimization. Technical Report.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 4.2.0)
Imports: mvtnorm (>= 1.2), stats (>= 4.0.0)
NeedsCompilation: no
Packaged: 2025-04-23 04:32:38 UTC; psystat
Author: Jiangtao Gou [aut, cre], Fengqing Zhang [aut], Yizhuo Chang [ctb], Tianqi Li [ctb]
Maintainer: Jiangtao Gou <gouRpackage@gmail.com>
Repository: CRAN
Date/Publication: 2025-04-24 17:40:09 UTC

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New package CBAModel with initial version 0.0.1.1
Encoding: UTF-8
Package: CBAModel
Title: Stochastic 3D Structure Model for Binder-Conductive Additive Phase
Version: 0.0.1.1
License: GPL (>= 3.0)
Description: Simulation of the stochastic 3D structure model for the nanoporous binder-conductive additive phase in battery cathodes introduced in P. Gräfensteiner, M. Osenberg, A. Hilger, N. Bohn, J. R. Binder, I. Manke, V. Schmidt, M. Neumann (2024) <doi:10.48550/arXiv.2409.11080>. The model is developed for a binder-conductive additive phase of consisting of carbon black, polyvinylidene difluoride binder and graphite particles. For its stochastic 3D modeling, a three-step procedure based on methods from stochastic geometry is used. First, the graphite particles are described by a Boolean model with ellipsoidal grains. Second, the mixture of carbon black and binder is modeled by an excursion set of a Gaussian random field in the complement of the graphite particles. Third, large pore regions within the mixture of carbon black and binder are described by a Boolean model with spherical grains.
Imports: pracma
NeedsCompilation: no
Packaged: 2025-04-23 10:36:29 UTC; mattneum
Author: Matthias Neumann [aut, cre], Phillip Graefensteiner [aut]
Maintainer: Matthias Neumann <neumann@tugraz.at>
Repository: CRAN
Date/Publication: 2025-04-24 18:00:06 UTC

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New package assertHE with initial version 1.0.0
Package: assertHE
Title: Visualisation and Verification of Health Economic Decision Models
Version: 1.0.0
Description: Designed to help health economic modellers when building and reviewing models. The visualisation functions allow users to more easily review the network of functions in a project, and get lay summaries of them. The asserts included are intended to check for common errors, thereby freeing up time for modellers to focus on tests specific to the individual model in development or review. For more details see Smith and colleagues (2024)<doi:10.12688/wellcomeopenres.23180.1>.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: testthat (>= 3.0.0), colourpicker, clipr, jsonlite
Depends: R (>= 4.1.0)
Imports: assertthat, ggplot2, dplyr, utils, visNetwork, covr, htmltools, officer, flextable, knitr, shiny, shinyjs, rstudioapi, roxygen2, methods, waiter, igraph, httr
URL: https://dark-peak-analytics.github.io/assertHE/, https://github.com/dark-peak-analytics/assertHE
BugReports: https://github.com/dark-peak-analytics/assertHE/issues
NeedsCompilation: no
Packaged: 2025-04-22 13:03:26 UTC; r_a_s
Author: Robert Smith [aut, cre, cph] , Wael Mohammed [aut] , Jack Smith [aut], Oliver Dolin [aut] , Dark Peak Analytics Ltd [cph, fnd]
Maintainer: Robert Smith <rsmith@darkpeakanalytics.com>
Repository: CRAN
Date/Publication: 2025-04-24 17:10:02 UTC

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New package spotr with initial version 0.1.0
Package: spotr
Title: Estimate Spatial Population Indices from Ecological Abundance Data
Version: 0.1.0
Description: Compute relative or absolute population trends across space and time using predictions from models fitted to ecological population abundance data, as described in Knape (2025) <doi:10.1016/j.ecolind.2025.113435>. The package supports models fitted by 'mgcv' or 'brms', and draws from posterior predictive distributions.
License: GPL (>= 3)
Encoding: UTF-8
Suggests: testthat (>= 3.0.0), brms, knitr, rmarkdown, sf, ggplot2, dplyr
LinkingTo: Rcpp
Imports: stats, mgcv, Rcpp
Depends: R (>= 3.6.0)
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2025-04-22 11:30:08 UTC; jonas
Author: Jonas Knape [aut, cre]
Maintainer: Jonas Knape <jonas.knape@slu.se>
Repository: CRAN
Date/Publication: 2025-04-24 17:00:02 UTC

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New package schematic with initial version 0.1.0
Package: schematic
Title: Tidy Schema Validation for Data Frames
Version: 0.1.0
Description: Validate data.frames against schemas to ensure that data matches expectations. Define schemas using 'tidyselect' and predicate functions for type consistency, nullability, and more. Schema failure messages can be tailored for non-technical users and are ideal for user-facing applications such as in 'shiny' or 'plumber'.
Maintainer: Will Hipson <will.e.hipson@gmail.com>
License: MIT + file LICENSE
URL: https://github.com/whipson/schematic, https://whipson.github.io/schematic/
BugReports: https://github.com/whipson/schematic/issues
Encoding: UTF-8
Imports: cli, glue, purrr, rlang, tidyselect
Suggests: knitr, rmarkdown, quarto, testthat (>= 3.0.0)
Depends: R (>= 4.1.0)
VignetteBuilder: knitr, quarto
NeedsCompilation: no
Packaged: 2025-04-22 11:50:24 UTC; willhipson
Author: Will Hipson [aut, cre, cph]
Repository: CRAN
Date/Publication: 2025-04-24 17:00:07 UTC

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Package rollama updated to version 0.2.1 with previous version 0.2.0 dated 2024-12-06

Title: Communicate with 'Ollama' to Run Large Language Models Locally
Description: Wraps the 'Ollama' <https://ollama.com> API, which can be used to communicate with generative large language models locally.
Author: Johannes B. Gruber [aut, cre] , Maximilian Weber [aut, ctb]
Maintainer: Johannes B. Gruber <JohannesB.Gruber@gmail.com>

Diff between rollama versions 0.2.0 dated 2024-12-06 and 0.2.1 dated 2025-04-24

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Package CopulaGAMM updated to version 0.6.5 with previous version 0.4.1 dated 2023-11-30

Title: Copula-Based Mixed Regression Models
Description: Estimation of 2-level factor copula-based regression models for clustered data where the response variable can be either discrete or continuous.
Author: Pavel Krupskii [aut, ctb, cph], Bouchra R. Nasri [aut, ctb, cph], Bruno N Remillard [aut, cre, cph]
Maintainer: Bruno N Remillard <bruno.remillard@hec.ca>

Diff between CopulaGAMM versions 0.4.1 dated 2023-11-30 and 0.6.5 dated 2025-04-24

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Package scGate updated to version 1.7.0 with previous version 1.6.2 dated 2024-04-23

Title: Marker-Based Cell Type Purification for Single-Cell Sequencing Data
Description: A common bioinformatics task in single-cell data analysis is to purify a cell type or cell population of interest from heterogeneous datasets. 'scGate' automatizes marker-based purification of specific cell populations, without requiring training data or reference gene expression profiles. Briefly, 'scGate' takes as input: i) a gene expression matrix stored in a 'Seurat' object and ii) a “gating model” (GM), consisting of a set of marker genes that define the cell population of interest. The GM can be as simple as a single marker gene, or a combination of positive and negative markers. More complex GMs can be constructed in a hierarchical fashion, akin to gating strategies employed in flow cytometry. 'scGate' evaluates the strength of signature marker expression in each cell using the rank-based method 'UCell', and then performs k-nearest neighbor (kNN) smoothing by calculating the mean 'UCell' score across neighboring cells. kNN-smoothing aims at compensating for the large degree of s [...truncated...]
Author: Massimo Andreatta [aut, cre] , Ariel Berenstein [aut] , Josep Garnica [aut], Santiago Carmona [aut]
Maintainer: Massimo Andreatta <massimo.andreatta@unige.ch>

Diff between scGate versions 1.6.2 dated 2024-04-23 and 1.7.0 dated 2025-04-24

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Package MEDesigns updated to version 1.0.1 with previous version 1.0.0 dated 2024-12-02

Title: Mating Environmental Designs
Description: In breeding experiments, mating environmental (ME) designs are very popular as mating designs are directly implemented in the field environment using block or row-column designs. Here, three functions are given related to three new methods which will generate mating diallel cross designs (Hinkelmann and Kempthorne, 1963<doi:10.2307/2333899>) or mating environmental (ME) designs along with design parameters, C matrix, eigenvalues (EVs), degree of fractionations (DF) and canonical efficiency factor (CEF). Another one function is added to check the properties of a given ME diallel cross design.
Author: Ashutosh Dalal [aut, cre], Cini Varghese [aut, ctb], Rajender Parsad [aut, ctb], Mohd Harun [aut, ctb]
Maintainer: Ashutosh Dalal <ashutosh.dalal97@gmail.com>

Diff between MEDesigns versions 1.0.0 dated 2024-12-02 and 1.0.1 dated 2025-04-24

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Package optimizeR updated to version 1.2.0 with previous version 1.1.3 dated 2025-03-27

Title: Unified Framework for Numerical Optimizers
Description: Provides a unified object-oriented framework for numerical optimizers in R. Allows for both minimization and maximization with any optimizer, optimization over more than one function argument, measuring of computation time, setting a time limit for long optimization tasks.
Author: Lennart Oelschlaeger [aut, cre] , Marius Oetting [ctb]
Maintainer: Lennart Oelschlaeger <oelschlaeger.lennart@gmail.com>

Diff between optimizeR versions 1.1.3 dated 2025-03-27 and 1.2.0 dated 2025-04-24

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Package editbl updated to version 1.3.0 with previous version 1.2.0 dated 2025-03-31

Title: 'DT' Extension for CRUD (Create, Read, Update, Delete) Applications in 'shiny'
Description: The core of this package is a function eDT() which enhances DT::datatable() such that it can be used to interactively modify data in 'shiny'. By the use of generic 'dplyr' methods it supports many types of data storage, with relational databases ('dbplyr') being the main use case.
Author: Jasper Schelfhout [aut, cre], Maxim Nazarov [rev], Daan Seynaeve [rev], Lennart Tuijnder [rev], Saar Junius [aut]
Maintainer: Jasper Schelfhout <jasper.schelfhout@openanalytics.eu>

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Package vecmatch updated to version 1.1.0 with previous version 1.0.3 dated 2025-03-28

Title: Generalized Propensity Score Estimation and Matching for Multiple Groups
Description: Implements the Vector Matching algorithm to match multiple treatment groups based on previously estimated generalized propensity scores. The package includes tools for visualizing initial confounder imbalances, estimating treatment assignment probabilities using various methods, defining the common support region, performing matching across multiple groups, and evaluating matching quality. For more details, see Lopez and Gutman (2017) <doi:10.1214/17-STS612>.
Author: Mateusz Kolek [aut, cre, cph]
Maintainer: Mateusz Kolek <mati.kolek13@gmail.com>

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Package RQuantLib updated to version 0.4.26 with previous version 0.4.25 dated 2025-03-25

Title: R Interface to the 'QuantLib' Library
Description: The 'RQuantLib' package makes parts of 'QuantLib' accessible from R The 'QuantLib' project aims to provide a comprehensive software framework for quantitative finance. The goal is to provide a standard open source library for quantitative analysis, modeling, trading, and risk management of financial assets.
Author: Dirk Eddelbuettel [aut, cre] , Khanh Nguyen [aut] , Terry Leitch [aut]
Maintainer: Dirk Eddelbuettel <edd@debian.org>

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Package I14Y updated to version 0.1.3 with previous version 0.1.2 dated 2025-04-16

Title: Search and Get Data from the I14Y Interoperability Platform of Switzerland
Description: Search and download Swiss data and metadata from the I14Y interoperability platform of Switzerland using its public APIs <https://www.i14y.admin.ch/api/index.html>.
Author: Felix Luginbuhl [aut, cre, cph]
Maintainer: Felix Luginbuhl <felix.luginbuhl@protonmail.ch>

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Package highs updated to version 1.10.0-1 with previous version 1.9.0-1 dated 2025-01-08

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

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Package GeneNMF updated to version 0.8.0 with previous version 0.6.2 dated 2024-11-12

Title: Non-Negative Matrix Factorization for Single-Cell Omics
Description: A collection of methods to extract gene programs from single-cell gene expression data using non-negative matrix factorization (NMF). 'GeneNMF' contains functions to directly interact with the 'Seurat' toolkit and derive interpretable gene program signatures.
Author: Massimo Andreatta [aut, cre] , Santiago Carmona [aut]
Maintainer: Massimo Andreatta <massimo.andreatta@unige.ch>

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Package frscore updated to version 0.5.0 with previous version 0.4.1 dated 2024-06-11

Title: Functions for Calculating Fit-Robustness of CNA-Solutions
Description: Functions for automatically performing a reanalysis series on a data set using CNA, and for calculating the fit-robustness of the resulting models, as described in Parkkinen and Baumgartner (2021) <doi:10.1177/0049124120986200>.
Author: Veli-Pekka Parkkinen [aut, cre, cph], Michael Baumgartner [aut, cph], Mathias Ambuehl [aut, cph]
Maintainer: Veli-Pekka Parkkinen <parkkinenv@gmail.com>

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Package eyeris updated to version 1.1.0 with previous version 1.0.0 dated 2025-03-31

Title: Flexible, Extensible, & Reproducible Processing of Pupil Data
Description: Pupillometry offers a non-invasive window into the mind and has been used extensively as a psychophysiological readout of arousal signals linked with cognitive processes like attention, stress, and emotional states [Clewett et al. (2020) <doi:10.1038/s41467-020-17851-9>; Kret & Sjak-Shie (2018) <doi:10.3758/s13428-018-1075-y>; Strauch (2024) <doi:10.1016/j.tins.2024.06.002>]. Yet, despite decades of pupillometry research, many established packages and workflows to date unfortunately lack design patterns based on Findability, Accessibility, Interoperability, and Reusability (FAIR) principles [see Wilkinson et al. (2016) <doi:10.1038/sdata.2016.18>]. 'eyeris', on the other hand, follows a design philosophy that provides users with an intuitive, modular, performant, and extensible pupillometry data preprocessing framework out-of-the-box. 'eyeris' introduces a Brain Imaging Data Structure (BIDS)-like organization for derivative (i.e., preprocessed) pupillometry [...truncated...]
Author: Shawn Schwartz [aut, cre, cph] , Stanford Wu Tsai Human Performance Alliance [fnd], Stanford Ric Weiland Graduate Fellowship [fnd], Stanford Center for Mind, Brain, Computation and Technology [fnd], NIH National Institute on Aging R01 AG065255 [fnd], [...truncated...]
Maintainer: Shawn Schwartz <stschwartz@stanford.edu>

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Package binspp updated to version 0.2.0 with previous version 0.1.26 dated 2022-12-08

Title: Bayesian Inference for Neyman-Scott Point Processes
Description: The Bayesian MCMC estimation of parameters for Thomas-type cluster point process with various inhomogeneities. It allows for inhomogeneity in (i) distribution of parent points, (ii) mean number of points in a cluster, (iii) cluster spread. The package also allows for the Bayesian MCMC algorithm for the homogeneous generalized Thomas process. The cluster size is allowed to have a variance that is greater or less than the expected value (cluster sizes are over or under dispersed). Details are described in Dvořák, Remeš, Beránek & Mrkvička (2022) <arXiv: 10.48550/arXiv.2205.07946>.
Author: Mrkvicka Tomas [aut], Dvorak Jiri [aut], Beranek Ladislav [aut], Remes Radim [aut, cre], Park Jaewoo [ctb], Lee Sujeong [ctb]
Maintainer: Remes Radim <inrem@jcu.cz>

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Package tspredit updated to version 1.1.707 with previous version 1.0.787 dated 2024-12-04

Title: Time Series Prediction with Integrated Tuning
Description: Time series prediction is a critical task in data analysis, requiring not only the selection of appropriate models, but also suitable data preprocessing and tuning strategies. TSPredIT (Time Series Prediction with Integrated Tuning) is a framework that provides a seamless integration of data preprocessing, decomposition, model training, hyperparameter optimization, and evaluation. Unlike other frameworks, TSPredIT emphasizes the co-optimization of both preprocessing and modeling steps, improving predictive performance. It supports a variety of statistical and machine learning models, filtering techniques, outlier detection, data augmentation, and ensemble strategies. More information is available in Salles et al. <doi:10.1007/978-3-662-68014-8_2>.
Author: Eduardo Ogasawara [aut, ths, cre] , Carla Pacheco [aut], Cristiane Gea [aut], Diogo Santos [aut], Rebecca Salles [aut], Vitoria Birindiba [aut], Eduardo Bezerra [aut], Esther Pacitti [aut], Fabio Porto [aut], CEFET/RJ [cph]
Maintainer: Eduardo Ogasawara <eogasawara@ieee.org>

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Package sleev updated to version 1.1.2 with previous version 1.1.1 dated 2025-04-20

Title: Semiparametric Likelihood Estimation with Errors in Variables
Description: Efficient regression analysis under general two-phase sampling, where Phase I includes error-prone data and Phase II contains validated data on a subset.
Author: Sarah Lotspeich [aut], Ran Tao [aut, cre], Joey Sherrill [prg], Jiangmei Xiong [ctb]
Maintainer: Ran Tao <r.tao@vanderbilt.edu>

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Package reddPrec updated to version 3.0.0 with previous version 2.0.4 dated 2025-03-09

Title: Reconstruction of Daily Data - Precipitation
Description: Applies quality control to daily precipitation observations; reconstructs the original series by estimating precipitation in missing values; and creates gridded datasets of daily precipitation.
Author: Roberto Serrano-Notivoli [aut, cre] , Adrian Huerta [aut] , Abel Centella [ctb]
Maintainer: Roberto Serrano-Notivoli <roberto.serrano@unizar.es>

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Package randPedPCA updated to version 1.0.1 with previous version 1.0.0 dated 2025-04-24

Title: Fast PCA for Large Pedigrees
Description: Carry out principal component analysis (PCA) of very large pedigrees such as found in breeding populations! This package, 'randPedPCA', exploits sparse matrices and randomised linear algebra to deliver a gazillion-times speed-up compared to naive singular value decoposition (SVD) (and eigen decomposition).
Author: Hanbin Lee [aut], Hannes Becher [cre], Ros Craddock [aut], Gregor Gorjanc [aut]
Maintainer: Hannes Becher <h.becher@ed.ac.uk>

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Package RAGFlowChainR updated to version 0.1.1 with previous version 0.1.0 dated 2025-04-24

Title: Retrieval-Augmented Generation (RAG) Workflows in R with Local and Web Search
Description: Enables Retrieval-Augmented Generation (RAG) workflows in R by combining local vector search using 'DuckDB' with optional web search via the 'Tavily' API. Supports OpenAI- and Ollama-compatible embedding models, full-text and HNSW (Hierarchical Navigable Small World) indexing, and modular large language model (LLM) invocation. Designed for advanced question-answering, chat-based applications, and production-ready AI pipelines. This package is the R equivalent of the 'python' package 'RAGFlowChain' available at <https://pypi.org/project/RAGFlowChain/>.
Author: Kwadwo Daddy Nyame Owusu Boakye [aut, cre]
Maintainer: Kwadwo Daddy Nyame Owusu Boakye <kwadwo.owusuboakye@outlook.com>

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Package NMsim updated to version 0.2.1 with previous version 0.2.0 dated 2025-03-12

Title: Seamless 'Nonmem' Simulation Platform
Description: A complete and seamless 'Nonmem' simulation interface within R. Turns 'Nonmem' control streams into simulation control streams, executes them with specified simulation input data and returns the results. The simulation is performed by 'Nonmem', eliminating manual work and risks of re-implementation of models in other tools.
Author: Philip Delff [aut, cre], Brian Reilly [ctb], Sanaya Shroff [ctb], Boris Grinshpun [ctb]
Maintainer: Philip Delff <philip@delff.dk>

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Package mop updated to version 0.1.3 with previous version 0.1.2 dated 2024-03-28

Title: Mobility Oriented-Parity Metric
Description: A set of tools to perform multiple versions of the Mobility Oriented-Parity metric. This multivariate analysis helps to characterize levels of dissimilarity between a set of conditions of reference and another set of conditions of interest. If predictive models are transferred to conditions different from those over which models were calibrated (trained), this metric helps to identify transfer conditions that differ substantially from those of calibration. These tools are implemented following principles proposed in Owens et al. (2013) <doi:10.1016/j.ecolmodel.2013.04.011>, and expanded to obtain more detailed results that aid in interpretation as in Cobos et al. (2024) <doi:10.21425/fob.17.132916>.
Author: Marlon E. Cobos [aut, cre] , Hannah L. Owens [aut] , Jorge Soberon [aut] , A. Townsend Peterson [aut]
Maintainer: Marlon E. Cobos <manubio13@gmail.com>

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New package mbest with initial version 0.6.1
Package: mbest
Version: 0.6.1
Title: Moment-Based Estimation for Hierarchical Models
Description: Fast moment-based hierarchical model fitting. Implements methods from the papers "Fast Moment-Based Estimation for Hierarchical Models," by Perry (2017) and "Fitting a Deeply Nested Hierarchical Model to a Large Book Review Dataset Using a Moment-Based Estimator," by Zhang, Schmaus, and Perry (2018).
Depends: nlme (>= 3.1-124), R (>= 3.3.0)
Imports: abind, bigmemory, foreach, reformulas, logging
Suggests: testthat, lme4
License: Apache License (== 2.0) | file LICENSE
URL: https://github.com/patperry/r-mbest
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2025-04-23 13:52:43 UTC; bolker
Author: Patrick O. Perry [aut], Timothy Sweetser [ctb], Kyle Schmaus [ctb], Ningshan Zhang [aut, ctb], Ben Bolker [cre]
Maintainer: Ben Bolker <bolker@mcmaster.ca>
Repository: CRAN
Date/Publication: 2025-04-24 11:50:09 UTC

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Package lsoda updated to version 1.1 with previous version 1.0 dated 2025-04-22

Title: 'C++' Header Library for Ordinary Differential Equations
Description: A 'C++' header library for using the 'libsoda-cxx' library with R. The 'C++' header reimplements the 'lsoda' function from the 'ODEPACK' library for solving initial value problems for first order ordinary differential equations (Hindmarsh, 1982; <https://computing.llnl.gov/sites/default/files/ODEPACK_pub1_u88007.pdf>). The 'C++' header can be used by other R packages by linking against this package. The 'C++' functions can be called inline using 'Rcpp'. Finally, the package provides an 'ode' function to call from R.
Author: Mark Clements [aut, cre], Dilawar Singh [ctb], Heng Li [ctb], Peter N. Brown [ctb], George D. Byrne [ctb], Alan C. Hindmarsh [ctb], Cleve Moler [ctb], Linda R. Petzold [ctb]
Maintainer: Mark Clements <mark.clements@ki.se>

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Package lgspline updated to version 0.2.0 with previous version 0.1.0 dated 2025-04-22

Title: Lagrangian Multiplier Smoothing Splines for Smooth Function Estimation
Description: Implements Lagrangian multiplier smoothing splines for flexible nonparametric regression and function estimation. Provides tools for fitting, prediction, and inference using a constrained optimization approach to enforce smoothness. Supports generalized linear models, Weibull accelerated failure time (AFT) models, quadratic programming problems, and customizable arbitrary correlation structures. Options for fitting in parallel are provided. The method builds upon the framework described by Ezhov et al. (2018) <doi:10.1515/jag-2017-0029> using Lagrangian multipliers to fit cubic splines. For more information on correlation structure estimation, see Searle et al. (2009) <ISBN:978-0470009598>. For quadratic programming and constrained optimization in general, see Nocedal & Wright (2006) <doi:10.1007/978-0-387-40065-5>. For a comprehensive background on smoothing splines, see Wahba (1990) <doi:10.1137/1.9781611970128> and Wood (2006) <ISBN:978-1584884743> [...truncated...]
Author: Matthew Davis [aut, cre]
Maintainer: Matthew Davis <matthewlouisdavis@gmail.com>

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Package healthyR.ai updated to version 0.1.1 with previous version 0.1.0 dated 2024-09-11

Title: The Machine Learning and AI Modeling Companion to 'healthyR'
Description: Hospital machine learning and ai data analysis workflow tools, modeling, and automations. This library provides many useful tools to review common administrative hospital data. Some of these include predicting length of stay, and readmits. The aim is to provide a simple and consistent verb framework that takes the guesswork out of everything.
Author: Steven Sanderson [aut, cre, cph]
Maintainer: Steven Sanderson <spsanderson@gmail.com>

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Package EnvStats updated to version 3.1.0 with previous version 3.0.0 dated 2024-08-24

Title: Package for Environmental Statistics, Including US EPA Guidance
Description: Graphical and statistical analyses of environmental data, with focus on analyzing chemical concentrations and physical parameters, usually in the context of mandated environmental monitoring. Major environmental statistical methods found in the literature and regulatory guidance documents, with extensive help that explains what these methods do, how to use them, and where to find them in the literature. Numerous built-in data sets from regulatory guidance documents and environmental statistics literature. Includes scripts reproducing analyses presented in the book "EnvStats: An R Package for Environmental Statistics" (Millard, 2013, Springer, ISBN 978-1-4614-8455-4, <doi:10.1007/978-1-4614-8456-1>).
Author: Steven P. Millard [aut], Alexander Kowarik [ctb, cre]
Maintainer: Alexander Kowarik <alexander.kowarik@statistik.gv.at>

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Package daltoolboxdp updated to version 1.0.787 with previous version 1.0.777 dated 2024-12-04

Title: Python-Based Extensions for Data Analytics Workflows
Description: Provides Python-based extensions to enhance data analytics workflows, particularly for tasks involving data preprocessing and predictive modeling. Includes tools for data sampling, transformation, feature selection, balancing strategies (e.g., SMOTE), and model construction. These capabilities leverage Python libraries via the reticulate interface, enabling seamless integration with a broader machine learning ecosystem. Supports instance selection and hybrid workflows that combine R and Python functionalities for flexible and reproducible analytical pipelines. The architecture is inspired by the Experiment Lines approach, which promotes modularity, extensibility, and interoperability across tools. More information on Experiment Lines is available in Ogasawara et al. (2009) <doi:10.1007/978-3-642-02279-1_20>.
Author: Eduardo Ogasawara [aut, ths, cre] , Diego Salles [aut, ths], Federal Center for Technological Education of Rio de Janeiro [cph]
Maintainer: Eduardo Ogasawara <eogasawara@ieee.org>

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Package scales updated to version 1.4.0 with previous version 1.3.0 dated 2023-11-28

Title: Scale Functions for Visualization
Description: Graphical scales map data to aesthetics, and provide methods for automatically determining breaks and labels for axes and legends.
Author: Hadley Wickham [aut], Thomas Lin Pedersen [cre, aut] , Dana Seidel [aut], Posit Software, PBC [cph, fnd]
Maintainer: Thomas Lin Pedersen <thomas.pedersen@posit.co>

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More information about scales at CRAN
Permanent link

Package proxyC updated to version 0.5.1 with previous version 0.5.0 dated 2025-04-22

Title: Computes Proximity in Large Sparse Matrices
Description: Computes proximity between rows or columns of large matrices efficiently in C++. Functions are optimised for large sparse matrices using the Armadillo and Intel TBB libraries. Among various built-in similarity/distance measures, computation of correlation, cosine similarity, Dice coefficient and Euclidean distance is particularly fast.
Author: Kohei Watanabe [cre, aut, cph] , Robrecht Cannoodt [aut]
Maintainer: Kohei Watanabe <watanabe.kohei@gmail.com>

Diff between proxyC versions 0.5.0 dated 2025-04-22 and 0.5.1 dated 2025-04-24

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More information about proxyC at CRAN
Permanent link

Package localScore updated to version 2.0.3 with previous version 2.0.2 dated 2025-04-19

Title: Package for Sequence Analysis by Local Score
Description: Functionalities for calculating the local score and calculating statistical relevance (p-value) to find a local Score in a sequence of given distribution (S. Mercier and J.-J. Daudin (2001) <https://hal.science/hal-00714174/>) ; S. Karlin and S. Altschul (1990) <https://pmc.ncbi.nlm.nih.gov/articles/PMC53667/> ; S. Mercier, D. Cellier and F. Charlot (2003) <https://hal.science/hal-00937529v1/> ; A. Lagnoux, S. Mercier and P. Valois (2017) <doi:10.1093/bioinformatics/btw699> ).
Author: Sebastian Simon [aut], Chris Verschelden [aut], Charly Marty [aut], David Robelin [aut, cre], Sabine Mercier [aut], Sebastien Dejean [aut], The authors of Eigen the library for the included version of Eigen [cph]
Maintainer: David Robelin <david.robelin@inrae.fr>

Diff between localScore versions 2.0.2 dated 2025-04-19 and 2.0.3 dated 2025-04-24

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More information about localScore at CRAN
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Package laminr updated to version 1.1.0 with previous version 1.0.1 dated 2025-03-18

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@lamin.ai>

Diff between laminr versions 1.0.1 dated 2025-03-18 and 1.1.0 dated 2025-04-24

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Permanent link

Package rix updated to version 0.16.0 with previous version 0.15.7 dated 2025-03-17

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>

Diff between rix versions 0.15.7 dated 2025-03-17 and 0.16.0 dated 2025-04-24

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More information about rix at CRAN
Permanent link

Package GaussSuppression updated to version 1.0.0 with previous version 0.9.6 dated 2025-03-12

Title: Tabular Data Suppression using Gaussian Elimination
Description: A statistical disclosure control tool to protect tables by suppression using the Gaussian elimination secondary suppression algorithm (Langsrud, 2024) <doi:10.1007/978-3-031-69651-0_6>. A suggestion is to start by working with functions SuppressSmallCounts() and SuppressDominantCells(). These functions use primary suppression functions for the minimum frequency rule and the dominance rule, respectively. Novel functionality for suppression of disclosive cells is also included. General primary suppression functions can be supplied as input to the general working horse function, GaussSuppressionFromData(). Suppressed frequencies can be replaced by synthetic decimal numbers as described in Langsrud (2019) <doi:10.1007/s11222-018-9848-9>.
Author: Oeyvind Langsrud [aut, cre] , Daniel Lupp [aut] , Hege Boevelstad [ctb] , Vidar Norstein Klungre [rev] , Statistics Norway [cph]
Maintainer: Oeyvind Langsrud <oyl@ssb.no>

Diff between GaussSuppression versions 0.9.6 dated 2025-03-12 and 1.0.0 dated 2025-04-24

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More information about GaussSuppression at CRAN
Permanent link

New package xlsform2word with initial version 0.1.0
Package: xlsform2word
Title: Convert 'XLSForm' to Structured 'Word' Document
Version: 0.1.0
Description: Converts an 'XLSForm' (survey in 'Excel') into a well-structured 'Word' document, including sections, skip logic, options, and question labels. Designed to support survey documentation, training materials, and data collection workflows. The package was developed based on field experience with 'XLSForm' and humanitarian operations, aiming to streamline documentation and enhance training efficiency.
Encoding: UTF-8
Imports: readxl, officer, dplyr, stringr, tools, rlang
Suggests: testthat (>= 3.0.0)
License: MIT + file LICENSE
NeedsCompilation: no
Packaged: 2025-04-22 09:09:28 UTC; ratov
Author: NyAvo RATOVO-ANDRIANARISOA [aut, cre]
Maintainer: NyAvo RATOVO-ANDRIANARISOA <ratovoandry1@gmail.com>
Repository: CRAN
Date/Publication: 2025-04-24 08:20:02 UTC

More information about xlsform2word at CRAN
Permanent link

Package ROI.plugin.highs updated to version 1.0-4 with previous version 1.0-3 dated 2023-07-06

Title: 'HiGHS' Plugin for the 'R' Optimization Infrastructure
Description: Enhances the 'R' Optimization Infrastructure ('ROI') package with the quadratic solver 'HiGHS'. More information about 'HiGHS' can be found at <https://highs.dev>.
Author: Florian Schwendinger [aut, cre]
Maintainer: Florian Schwendinger <FlorianSchwendinger@gmx.at>

Diff between ROI.plugin.highs versions 1.0-3 dated 2023-07-06 and 1.0-4 dated 2025-04-24

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More information about ROI.plugin.highs at CRAN
Permanent link

New package mverse with initial version 0.2.0
Package: mverse
Title: Tidy Multiverse Analysis Made Simple
Version: 0.2.0
Maintainer: Michael Jongho Moon <michael.moon@utoronto.ca>
Description: Extends 'multiverse' package (Sarma A., Kale A., Moon M., Taback N., Chevalier F., Hullman J., Kay M., 2021) <doi:10.31219/osf.io/yfbwm>, which allows users perform to create explorable multiverse analysis in R. This extension provides an additional level of abstraction to the 'multiverse' package with the aim of creating user friendly syntax to researchers, educators, and students in statistics. The 'mverse' syntax is designed to allow piping and takes hints from the 'tidyverse' grammar. The package allows users to define and inspect multiverse analysis using familiar syntax in R.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.6), multiverse (>= 0.6.2)
Imports: Rdpack, magrittr (>= 1.5), rlang, dplyr (>= 1.1), tidyr, tidyselect, stringr, stats, utils, broom, igraph, ggraph, ggplot2 (>= 3.5.2), ggupset (>= 0.4.1)
Suggests: methods, tibble, purrr, scales, MASS, testthat (>= 3.0.0), pkgdown (>= 1.5.1), covr, knitr, rmarkdown, kableExtra, spelling
VignetteBuilder: knitr
URL: https://github.com/mverseanalysis/mverse/, https://mverseanalysis.github.io/mverse/
Language: en-US
NeedsCompilation: no
Packaged: 2025-04-21 20:25:54 UTC; moon
Author: Michael Jongho Moon [aut, cre], Haoda Li [aut], Mingwei Xu [aut], Nathan Taback [aut], Fanny Chevalier [aut], Alison Gibbs [ctb]
Repository: CRAN
Date/Publication: 2025-04-24 08:10:02 UTC

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Package heumilkr updated to version 0.3.0 with previous version 0.2.0 dated 2024-04-01

Title: Heuristic Capacitated Vehicle Routing Problem Solver
Description: Implements the Clarke-Wright algorithm to find a quasi-optimal solution to the Capacitated Vehicle Routing Problem. See Clarke, G. and Wright, J.R. (1964) <doi:10.1287/opre.12.4.568> for details. The implementation is accompanied by helper functions to inspect its solution.
Author: Lukas Schneiderbauer [aut, cre, cph]
Maintainer: Lukas Schneiderbauer <lukas.schneiderbauer@gmail.com>

Diff between heumilkr versions 0.2.0 dated 2024-04-01 and 0.3.0 dated 2025-04-24

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Package broom.helpers updated to version 1.21.0 with previous version 1.20.0 dated 2025-03-06

Title: Helpers for Model Coefficients Tibbles
Description: Provides suite of functions to work with regression model 'broom::tidy()' tibbles. The suite includes functions to group regression model terms by variable, insert reference and header rows for categorical variables, add variable labels, and more.
Author: Joseph Larmarange [aut, cre] , Daniel D. Sjoberg [aut]
Maintainer: Joseph Larmarange <joseph@larmarange.net>

Diff between broom.helpers versions 1.20.0 dated 2025-03-06 and 1.21.0 dated 2025-04-24

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New package randPedPCA with initial version 1.0.0
Package: randPedPCA
Title: Fast PCA for Large Pedigrees
Version: 1.0.0
Description: Compute PCAs of large pedigrees such as found in breeding populations! This package, 'randPedPCA', exploits sparse matrices and randomised linear algebra to deliver a gazillion-times speed-up compared to naive SVD (and eigen decomposition).
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: spam, Matrix, methods, pedigreeTools, R (>= 3.5)
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), rgl
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-04-21 10:32:08 UTC; hbecher
Author: Hanbin Lee [aut], Hannes Becher [cre], Ros Craddock [aut], Gregor Gorjanc [aut]
Maintainer: Hannes Becher <h.becher@ed.ac.uk>
Repository: CRAN
Date/Publication: 2025-04-24 07:40:02 UTC

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New package RAGFlowChainR with initial version 0.1.0
Package: RAGFlowChainR
Title: Retrieval-Augmented Generation (RAG) Workflows in R with Local and Web Search
Version: 0.1.0
Maintainer: Kwadwo Daddy Nyame Owusu Boakye <kwadwo.owusuboakye@outlook.com>
Description: Enables Retrieval-Augmented Generation (RAG) workflows in R by combining local vector search using 'DuckDB' with optional web search via the 'Tavily' API. Supports 'OpenAI'- and 'Ollama'-compatible embedding models, full-text and 'HNSW' indexing, and modular 'LLM' invocation. Designed for advanced question-answering, chat-based applications, and production-ready AI pipelines. This package is the R equivalent of the 'python' package 'RAGFlowChain' available at <https://pypi.org/project/RAGFlowChain/>.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/knowusuboaky/RAGFlowChainR
BugReports: https://github.com/knowusuboaky/RAGFlowChainR/issues
Depends: R (>= 4.1.0)
Imports: DBI, duckdb, httr, dplyr, pdftools, officer, rvest, xml2, curl,
Suggests: testthat, jsonlite, stringi, magrittr, roxygen2
NeedsCompilation: no
Packaged: 2025-04-21 15:58:12 UTC; kwadw
Author: Kwadwo Daddy Nyame Owusu Boakye [aut, cre]
Repository: CRAN
Date/Publication: 2025-04-24 07:50:10 UTC

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New package KDEmcmc with initial version 0.0.1
Package: KDEmcmc
Title: Kernel Density Estimation with a Markov Chain Monte Carlo Sample
Version: 0.0.1
Date: 2025-04-21
Maintainer: Juhee Lee <ljh988488@gmail.com>
Description: Provides methods for selecting the optimal bandwidth in kernel density estimation for dependent samples, such as those generated by Markov chain Monte Carlo (MCMC). Implements a modified biased cross-validation (mBCV) approach that accounts for sample dependence, improving the accuracy of estimated density functions.
License: GPL (>= 3)
Depends: R (>= 3.5.0)
Imports: Rcpp, methods
LinkingTo: Rcpp, RcppArmadillo
LazyData: true
RcppModules: cKDEmodule
NeedsCompilation: yes
Packaged: 2025-04-21 09:44:43 UTC; user
Author: Juhee Lee [aut, cre], Hang J. Kim [aut], Young-Min Kim [aut]
Repository: CRAN
Date/Publication: 2025-04-24 07:30:01 UTC

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New package hdMTD with initial version 0.1.0
Package: hdMTD
Title: Inference for High-Dimensional Mixture Transition Distribution Models
Version: 0.1.0
Description: Estimates parameters in Mixture Transition Distribution (MTD) models, a class of high-order Markov chains. The set of relevant pasts (lags) is selected using either the Bayesian Information Criterion or the Forward Stepwise and Cut algorithms. Other model parameters (e.g. transition probabilities and oscillations) can be estimated via maximum likelihood estimation or the Expectation-Maximization algorithm. Additionally, 'hdMTD' includes a perfect sampling algorithm that generates samples of an MTD model from its invariant distribution. For theory, see Ost & Takahashi (2023) <http://jmlr.org/papers/v24/22-0266.html>.
URL: https://github.com/MaiaraGripp/hdMTD
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1.0)
Imports: methods, dplyr, purrr
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-04-20 20:59:01 UTC; maiar
Author: Maiara Gripp [aut, cre], Guilherme Ost [ths], Giulio Iacobelli [ths]
Maintainer: Maiara Gripp <maiara@dme.ufrj.br>
Repository: CRAN
Date/Publication: 2025-04-24 07:20:02 UTC

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New package gravityGE with initial version 1.0.0
Title: One Sector Armington-CES Gravity Model with General Equilibrium
Package: gravityGE
Version: 1.0.0
Description: Implements a one-sector Armington-CES gravity model with general equilibrium (GE) effects. This model is designed to analyze international and domestic trade by capturing the impacts of trade costs and policy changes within a general equilibrium framework. Additionally, it includes a local parameter to run simulations on productivity. The package provides functions for calibration, simulation, and analysis of the model.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
Imports: stats
NeedsCompilation: no
Packaged: 2025-04-21 18:26:20 UTC; Noe.Nava
Author: Noe J Nava [aut, cre], Maros Ivanic [aut]
Maintainer: Noe J Nava <noejnava2@gmail.com>
Repository: CRAN
Date/Publication: 2025-04-24 07:50:02 UTC

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New package EEEA with initial version 1.0.0
Package: EEEA
Title: Explicit Exploration Strategy for Evolutionary Algorithms
Description: Implements an explicit exploration strategy for evolutionary algorithms in order to have a more effective search in solving optimization problems. Along with this exploration search strategy, a set of four different Estimation of Distribution Algorithms (EDAs) are also implemented for solving optimization problems in continuous domains. The implemented explicit exploration strategy in this package is described in Salinas-Gutiérrez and Muñoz Zavala (2023) <doi:10.1016/j.asoc.2023.110230>.
Version: 1.0.0
License: GPL-3
Encoding: UTF-8
Imports: mvtnorm
Author: Rogelio Salinas Gutierrez [aut, cre, cph] , Pedro Abraham Montoya Calzada [aut, cph] , Angel Eduardo Munoz Zavala [aut, cph] , Alejandro Fausto Cortes Salinas [aut, cph], Ilse Daniela Saldivar Olvera [aut, cph]
Maintainer: Rogelio Salinas Gutierrez <rsalinas@correo.uaa.mx>
NeedsCompilation: no
Packaged: 2025-04-20 21:04:08 UTC; rogel
Repository: CRAN
Date/Publication: 2025-04-24 07:30:04 UTC

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New package chatLLM with initial version 0.1.1
Package: chatLLM
Title: A Flexible Interface for 'LLM' API Interactions
Version: 0.1.1
Maintainer: Kwadwo Daddy Nyame Owusu Boakye <kwadwo.owusuboakye@outlook.com>
Description: Provides a flexible interface for interacting with Large Language Model ('LLM') providers such as 'OpenAI' (<https://openai.com/>), 'Groq' (<https://groq.com/>), and 'Anthropic' (<https://www.anthropic.com/>). Supports both synchronous and asynchronous API calls with features such as retry logic, support for additional parameters, and multi-message handling to streamline integration with state-of-the-art 'LLM' APIs.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: httr (>= 1.4.0), jsonlite (>= 1.7.2)
Suggests: future, promises, later, testthat, roxygen2
URL: https://github.com/knowusuboaky/chatLLM
BugReports: https://github.com/knowusuboaky/chatLLM/issues
NeedsCompilation: no
Packaged: 2025-04-21 16:13:15 UTC; kwadw
Author: Kwadwo Daddy Nyame Owusu Boakye [aut, cre]
Repository: CRAN
Date/Publication: 2025-04-24 07:50:06 UTC

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New package booklet with initial version 1.0.0
Package: booklet
Title: Multivariate Exploratory Data Analysis
Version: 1.0.0
Description: Exploratory data analysis methods to summarize, visualize and describe datasets. The main principal component methods are available, those with the largest potential in terms of applications: principal component analysis (PCA) when variables are quantitative, correspondence analysis (CA) when variables are categorical, Multiple Factor Analysis (MFA) when variables are structured in groups.
License: MIT + file LICENSE
URL: https://github.com/alexym1/booklet, https://alexym1.github.io/booklet/
BugReports: https://github.com/alexym1/booklet/issues
Depends: R (>= 4.1.0)
Suggests: covr, devtools, factoextra, FactoMineR, knitr, renv, testthat
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-04-20 13:19:25 UTC; amartinez
Author: Alex Yahiaoui Martinez [aut, cre]
Maintainer: Alex Yahiaoui Martinez <yahiaoui-martinez.alex@outlook.com>
Repository: CRAN
Date/Publication: 2025-04-24 07:10:02 UTC

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Package GeoThinneR updated to version 2.0.0 with previous version 1.1.0 dated 2024-10-03

Title: Efficient Spatial Thinning of Species Occurrences
Description: Provides efficient geospatial thinning algorithms to reduce the density of coordinate data while maintaining spatial relationships. Implements K-D Tree and brute-force distance-based thinning, as well as grid-based and precision-based thinning methods. For more information on the methods, see Elseberg et al. (2012) <https://hdl.handle.net/10446/86202>.
Author: Jorge Mestre-Tomas [aut, cre]
Maintainer: Jorge Mestre-Tomas <jorge.mestre.tomas@csic.es>

Diff between GeoThinneR versions 1.1.0 dated 2024-10-03 and 2.0.0 dated 2025-04-24

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More information about GeoThinneR at CRAN
Permanent link

Package admtools updated to version 0.5.0 with previous version 0.4.0 dated 2024-10-03

Title: Estimate and Manipulate Age-Depth Models
Description: Estimate age-depth models from stratigraphic and sedimentological data, and transform data between the time and stratigraphic domain.
Author: Niklas Hohmann [aut, cre]
Maintainer: Niklas Hohmann <N.H.Hohmann@uu.nl>

Diff between admtools versions 0.4.0 dated 2024-10-03 and 0.5.0 dated 2025-04-24

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