Mon, 28 Apr 2025

New package xactonomial with initial version 1.0.3
Package: xactonomial
Title: Inference for Functions of Multinomial Parameters
Version: 1.0.3
Date: 2025-04-20
URL: https://sachsmc.github.io/xactonomial/
BugReports: https://github.com/sachsmc/xactonomial/issues/
Description: We consider the problem where we observe k vectors (possibly of different lengths), each representing an independent multinomial random vector. For a given function that takes in the concatenated vector of multinomial probabilities and outputs a real number, this is a Monte Carlo estimation procedure of an exact p-value and confidence interval. The resulting inference is valid even in small samples, when the parameter is on the boundary, and when the function is not differentiable at the parameter value, all situations where asymptotic methods and the bootstrap would fail. For more details see Sachs, Fay, and Gabriel (2025) <doi:10.48550/arXiv.2406.19141>.
License: MIT + file LICENSE
Encoding: UTF-8
SystemRequirements: Cargo (Rust's package manager), rustc >= 1.70
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Depends: R (>= 4.2)
NeedsCompilation: yes
Packaged: 2025-04-20 11:59:55 UTC; micsac
Author: Michael C Sachs [aut, cre], Michael P Fay [aut], Erin E Gabriel [aut], David B Dahl [ctb] )
Maintainer: Michael C Sachs <sachsmc@gmail.com>
Repository: CRAN
Date/Publication: 2025-04-28 13:50:02 UTC

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Package tesselle updated to version 1.6.0 with previous version 1.5.0 dated 2024-12-10

Title: Easily Install and Load 'tesselle' Packages
Description: Easy install and load key packages from the 'tesselle' suite in a single step. The 'tesselle' suite is a collection of packages for research and teaching in archaeology. These packages focus on quantitative analysis methods developed for archaeology. The 'tesselle' packages are designed to work seamlessly together and to complement general-purpose and other specialized statistical packages. These packages can be used to explore and analyze common data types in archaeology: count data, compositional data and chronological data. Learn more about 'tesselle' at <https://www.tesselle.org>.
Author: Nicolas Frerebeau [aut, cre] , Brice Lebrun [art] , Universite Bordeaux Montaigne [fnd] , CNRS [fnd]
Maintainer: Nicolas Frerebeau <nicolas.frerebeau@u-bordeaux-montaigne.fr>

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Package surveytable updated to version 0.9.7 with previous version 0.9.6 dated 2025-03-13

Title: Formatted Survey Estimates
Description: Short and understandable commands that generate tabulated, formatted, and rounded survey estimates. Mostly a wrapper for the 'survey' package (Lumley (2004) <doi:10.18637/jss.v009.i08> <https://CRAN.R-project.org/package=survey>) that identifies low-precision estimates using the National Center for Health Statistics (NCHS) presentation standards (Parker et al. (2017) <https://www.cdc.gov/nchs/data/series/sr_02/sr02_175.pdf>, Parker et al. (2023) <doi:10.15620/cdc:124368>).
Author: Alex Strashny [aut, cre]
Maintainer: Alex Strashny <alex.strashny@gmail.com>

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 R/total.R                                                                           |    4 
 R/var_all.R                                                                         |   64 +-
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 R/var_copy.R                                                                        |   62 -
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 R/var_not.R                                                                         |   52 -
 R/z_utils.R                                                                         |   98 +--
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 man/set_survey.Rd                                                                   |    4 
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New package orbweaver with initial version 0.18.2
Package: orbweaver
Title: Fast and Efficient Graph Data Structures
Version: 0.18.2
Description: Seamlessly build and manipulate graph structures, leveraging its high-performance methods for filtering, joining, and mutating data. Ensures that mutations and changes to the graph are performed in place, streamlining your workflow for optimal productivity.
License: MIT + file LICENSE
URL: https://github.com/ixpantia/orbweaver-r
BugReports: https://github.com/ixpantia/orbweaver-r/issues
Depends: R (>= 4.2.0)
Imports: glue, methods, rlang
Suggests: testthat (>= 3.0.0)
Encoding: UTF-8
SystemRequirements: Cargo (Rust's package manager) >= 1.70, rustc >= 1.70
NeedsCompilation: yes
Packaged: 2025-04-21 15:21:23 UTC; andres
Author: ixpantia, SRL [cph], Andres Quintero [aut, cre], The authors of the dependency Rust crates [ctb]
Maintainer: Andres Quintero <andres@ixpantia.com>
Repository: CRAN
Date/Publication: 2025-04-28 13:50:07 UTC

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Package ebvcube updated to version 0.5.0 with previous version 0.4.0 dated 2025-03-05

Title: Working with netCDF for Essential Biodiversity Variables
Description: The concept of Essential Biodiversity Variables (EBV, <https://geobon.org/ebvs/what-are-ebvs/>) comes with a data structure based on the Network Common Data Form (netCDF). The 'ebvcube' 'R' package provides functionality to easily create, access and visualise this data. The EBV netCDFs can be downloaded from the EBV Data Portal: Christian Langer/ iDiv (2020) <https://portal.geobon.org/>.
Author: Luise Quoss [aut, cre] , Nestor Fernandez [aut] , Christian Langer [aut] , Jose Valdez [aut] , Henrique Miguel Pereira [aut]
Maintainer: Luise Quoss <luise.quoss@idiv.de>

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Package dexter updated to version 1.6.1 with previous version 1.6.0 dated 2025-04-07

Title: Data Management and Analysis of Tests
Description: A system for the management, assessment, and psychometric analysis of data from educational and psychological tests.
Author: Gunter Maris [aut], Timo Bechger [aut], Jesse Koops [aut, cre], Ivailo Partchev [aut]
Maintainer: Jesse Koops <jesse.koops@cito.nl>

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Package daltoolbox updated to version 1.1.747 with previous version 1.1.737 dated 2025-04-21

Title: Leveraging Experiment Lines to Data Analytics
Description: The natural increase in the complexity of current research experiments and data demands better tools to enhance productivity in Data Analytics. The package is a framework designed to address the modern challenges in data analytics workflows. The package is inspired by Experiment Line concepts. It aims to provide seamless support for users in developing their data mining workflows by offering a uniform data model and method API. It enables the integration of various data mining activities, including data preprocessing, classification, regression, clustering, and time series prediction. It also offers options for hyper-parameter tuning and supports integration with existing libraries and languages. Overall, the package provides researchers with a comprehensive set of functionalities for data science, promoting ease of use, extensibility, and integration with various tools and libraries. Information on Experiment Line is based on Ogasawara et al. (2009) <doi:10.1007/978-3-642-02279-1_2 [...truncated...]
Author: Eduardo Ogasawara [aut, ths, cre] , Antonio Castro [aut, ctb], Diego Salles [aut, ths], Janio Lima [aut, ths], Lucas Tavares [aut, ths], Diego Carvalho [aut, ths], Eduardo Bezerra [aut, ths], Rafaelli Coutinho [aut, ths], Federal Center for Technolog [...truncated...]
Maintainer: Eduardo Ogasawara <eogasawara@ieee.org>

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Package shapr updated to version 1.0.4 with previous version 1.0.3 dated 2025-04-01

Title: Prediction Explanation with Dependence-Aware Shapley Values
Description: Complex machine learning models are often hard to interpret. However, in many situations it is crucial to understand and explain why a model made a specific prediction. Shapley values is the only method for such prediction explanation framework with a solid theoretical foundation. Previously known methods for estimating the Shapley values do, however, assume feature independence. This package implements methods which accounts for any feature dependence, and thereby produces more accurate estimates of the true Shapley values. An accompanying 'Python' wrapper ('shaprpy') is available through the GitHub repository.
Author: Martin Jullum [cre, aut] , Lars Henry Berge Olsen [aut] , Annabelle Redelmeier [aut], Jon Lachmann [aut] , Nikolai Sellereite [aut] , Anders Loeland [ctb], Jens Christian Wahl [ctb], Camilla Lingjaerde [ctb], Norsk Regnesentral [cph, fnd]
Maintainer: Martin Jullum <Martin.Jullum@nr.no>

Diff between shapr versions 1.0.3 dated 2025-04-01 and 1.0.4 dated 2025-04-28

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Package mapme.biodiversity updated to version 0.9.4 with previous version 0.9.3 dated 2024-10-21

Title: Efficient Monitoring of Global Biodiversity Portfolios
Description: Biodiversity areas, especially primary forest, serve a multitude of functions for local economy, regional functionality of the ecosystems as well as the global health of our planet. Recently, adverse changes in human land use practices and climatic responses to increased greenhouse gas emissions, put these biodiversity areas under a variety of different threats. The present package helps to analyse a number of biodiversity indicators based on freely available geographical datasets. It supports computational efficient routines that allow the analysis of potentially global biodiversity portfolios. The primary use case of the package is to support evidence based reporting of an organization's effort to protect biodiversity areas under threat and to identify regions were intervention is most duly needed.
Author: Darius A. Goergen [aut] , Om Prakash Bhandari [aut], Andreas Petutschnig [ctb] , Sven Bergtold [ctb, cre], Zivan Karaman [ctb] , MAPME-Initiative [cph, fnd]
Maintainer: Sven Bergtold <sven.bergtold@gmail.com>

Diff between mapme.biodiversity versions 0.9.3 dated 2024-10-21 and 0.9.4 dated 2025-04-28

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 mapme.biodiversity-0.9.4/mapme.biodiversity/NEWS.md                                                 |  722 ++---
 mapme.biodiversity-0.9.4/mapme.biodiversity/R/calc_ecoregion.R                                      |    2 
 mapme.biodiversity-0.9.4/mapme.biodiversity/R/calc_exposed_population_acled.R                       |    2 
 mapme.biodiversity-0.9.4/mapme.biodiversity/R/calc_exposed_population_ucdp.R                        |   10 
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 mapme.biodiversity-0.9.4/mapme.biodiversity/R/calc_gsw_occurrence.R                                 |    2 
 mapme.biodiversity-0.9.4/mapme.biodiversity/R/calc_gsw_recurrence.R                                 |    2 
 mapme.biodiversity-0.9.4/mapme.biodiversity/R/calc_ipbes_biomes.R                                   |    4 
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 mapme.biodiversity-0.9.4/mapme.biodiversity/R/calc_traveltime.R                                     |    4 
 mapme.biodiversity-0.9.4/mapme.biodiversity/R/calc_traveltime_2000.R                                |    2 
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 mapme.biodiversity-0.9.4/mapme.biodiversity/R/get_acled.R                                           |    2 
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 mapme.biodiversity-0.9.4/mapme.biodiversity/R/get_chelsa.R                                          |   10 
 mapme.biodiversity-0.9.4/mapme.biodiversity/R/get_esalandcover.R                                    |    2 
 mapme.biodiversity-0.9.4/mapme.biodiversity/R/get_fritz_et_al.R                                     |    2 
 mapme.biodiversity-0.9.4/mapme.biodiversity/R/get_gfw_lossyear.R                                    |    2 
 mapme.biodiversity-0.9.4/mapme.biodiversity/R/get_gmw.R                                             |    2 
 mapme.biodiversity-0.9.4/mapme.biodiversity/R/get_gsw.R                                             |    2 
 mapme.biodiversity-0.9.4/mapme.biodiversity/R/get_gsw_time_series.R                                 |    2 
 mapme.biodiversity-0.9.4/mapme.biodiversity/R/get_hfp.R                                             |   15 
 mapme.biodiversity-0.9.4/mapme.biodiversity/R/get_iucn.R                                            |    3 
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 mapme.biodiversity-0.9.4/mapme.biodiversity/R/get_nelson_et_al.R                                    |    2 
 mapme.biodiversity-0.9.4/mapme.biodiversity/R/get_soilgrids.R                                       |   10 
 mapme.biodiversity-0.9.4/mapme.biodiversity/R/get_ucdp_ged.R                                        |    2 
 mapme.biodiversity-0.9.4/mapme.biodiversity/R/get_worldclim.R                                       |    2 
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More information about mapme.biodiversity at CRAN
Permanent link

New package licoread with initial version 0.1.1
Package: licoread
Title: Reads Raw Files from Li-COR Gas Analyzers
Version: 0.1.1
Date: 2025-04-23
Description: Reads raw files from Li-COR gas analyzers and produces a dataframe that can directly be used with 'fluxible' <https://cran.r-project.org/package=fluxible>.
License: GPL (>= 3)
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Imports: dplyr, jsonlite, lubridate, purrr, readr, rlang, stringr, tibble, tidyr, yaml
URL: https://jogaudard.github.io/licoread/
BugReports: https://github.com/jogaudard/licoread/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-04-25 16:31:20 UTC; jga051
Author: Joseph Gaudard [aut, cre]
Maintainer: Joseph Gaudard <joseph.gaudard@pm.me>
Depends: R (>= 4.1.0)
Repository: CRAN
Date/Publication: 2025-04-28 12:30:02 UTC

More information about licoread at CRAN
Permanent link

New package joker with initial version 0.14.2
Package: joker
Title: Probability Distributions and Parameter Estimation
Version: 0.14.2
Description: Implements an S4 distribution system and estimation methods for parameters of common distribution families. The common d, p, q, r function family for each distribution is enriched with the ll, e, and v counterparts, computing the log-likelihood, performing estimation, and calculating the asymptotic variance - covariance matrix, respectively. Parameter estimation is performed analytically whenever possible.
License: GPL (>= 3)
URL: https://thechibo.github.io/joker/
BugReports: https://github.com/thechibo/joker/issues/
Depends: R (>= 4.0.0)
Imports: ggh4x, ggplot2, grDevices, Matrix, methods, stats, utils
Suggests: covr, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2025-04-25 16:36:53 UTC; John
Author: Ioannis Oikonomidis [aut, cre] , Samis Trevezas [aut, ths]
Maintainer: Ioannis Oikonomidis <goikon@math.uoa.gr>
Repository: CRAN
Date/Publication: 2025-04-28 12:40:01 UTC

More information about joker at CRAN
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Package grates updated to version 1.5.0 with previous version 1.4.3 dated 2025-03-10

Title: Grouped Date Classes
Description: Provides a coherent interface and implementation for creating grouped date classes.
Author: Tim Taylor [aut, cre]
Maintainer: Tim Taylor <tim.taylor@hiddenelephants.co.uk>

Diff between grates versions 1.4.3 dated 2025-03-10 and 1.5.0 dated 2025-04-28

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More information about grates at CRAN
Permanent link

New package forensicpopdata with initial version 1.0.2
Package: forensicpopdata
Title: Allele Frequency Data for Human Genetic Markers
Version: 1.0.2
Description: Provides allele frequency data for Short Tandem Repeat human genetic markers commonly used in forensic genetics for human identification and kinship analysis. Includes published population frequency data from the US National Institute of Standards and Technology and the UK government.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5)
Imports: xml2
NeedsCompilation: no
Packaged: 2025-04-25 14:33:20 UTC; maart
Author: Maarten Kruijver [aut, cre]
Maintainer: Maarten Kruijver <maarten.kruijver@esr.cri.nz>
Repository: CRAN
Date/Publication: 2025-04-28 12:30:06 UTC

More information about forensicpopdata at CRAN
Permanent link

Package bulkreadr updated to version 1.2.0 with previous version 1.1.1 dated 2024-05-26

Title: The Ultimate Tool for Reading Data in Bulk
Description: Designed to simplify and streamline the process of reading and processing large volumes of data in R, this package offers a collection of functions tailored for bulk data operations. It enables users to efficiently read multiple sheets from Microsoft Excel and Google Sheets workbooks, as well as various CSV files from a directory. The data is returned as organized data frames, facilitating further analysis and manipulation. Ideal for handling extensive data sets or batch processing tasks, bulkreadr empowers users to manage data in bulk effortlessly, saving time and effort in data preparation workflows. Additionally, the package seamlessly works with labelled data from SPSS and Stata.
Author: Ezekiel Ogundepo [aut, cre] , Ernest Fokoue [ctb] , Golibe Ezeechesi [ctb], Fatimo Adebanjo [ctb], Isaac Ajao [ctb]
Maintainer: Ezekiel Ogundepo <gbganalyst@gmail.com>

Diff between bulkreadr versions 1.1.1 dated 2024-05-26 and 1.2.0 dated 2025-04-28

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More information about bulkreadr at CRAN
Permanent link

Package bayestestR updated to version 0.15.3 with previous version 0.15.2 dated 2025-02-07

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 <officialeasystats@gmail.com>

Diff between bayestestR versions 0.15.2 dated 2025-02-07 and 0.15.3 dated 2025-04-28

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Package tidytuesdayR updated to version 1.2.0 with previous version 1.1.2 dated 2024-09-09

Title: Access the Weekly 'TidyTuesday' Project Dataset
Description: 'TidyTuesday' is a project by the 'Data Science Learning Community' in which they post a weekly dataset in a public data repository (<https://github.com/rfordatascience/tidytuesday>) for people to analyze and visualize. This package provides the tools to easily download this data and the description of the source.
Author: Jon Harmon [aut, cre] , Ellis Hughes [aut], Thomas Mock [ctb], Data Science Learning Community [dtc]
Maintainer: Jon Harmon <jonthegeek@gmail.com>

Diff between tidytuesdayR versions 1.1.2 dated 2024-09-09 and 1.2.0 dated 2025-04-28

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Permanent link

Package ATNr updated to version 1.1.1 with previous version 1.1.0 dated 2023-09-04

Title: Run Allometric Trophic Networks Models
Description: Implements the differential equations associated to different versions of Allometric Trophic Models (ATN) to estimate the temporal dynamics of species biomasses in food webs. It offers several features to generate synthetic food webs and to parametrise models as well as a wrapper to the ODE solver deSolve.
Author: Benoit Gauzens [cre, aut], Emilio Berti [aut]
Maintainer: Benoit Gauzens <benoit.gauzens@gmail.com>

Diff between ATNr versions 1.1.0 dated 2023-09-04 and 1.1.1 dated 2025-04-28

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Package BayesChange updated to version 2.1.0 with previous version 2.0.0 dated 2025-03-12

Title: Bayesian Methods for Change Points Analysis
Description: Perform change points detection on univariate and multivariate time series according to the methods presented by Asael Fabian Martínez and Ramsés H. Mena (2014) <doi:10.1214/14-BA878> and Corradin, Danese and Ongaro (2022) <doi:10.1016/j.ijar.2021.12.019>. It also clusters different types of time dependent data with common change points, see "Model-based clustering of time-dependent observations with common structural changes" (Corradin,Danese,KhudaBukhsh and Ongaro, 2024) <doi:10.48550/arXiv.2410.09552> for details.
Author: Luca Danese [aut, cre, cph] , Riccardo Corradin [aut], Andrea Ongaro [aut]
Maintainer: Luca Danese <l.danese1@campus.unimib.it>

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More information about BayesChange at CRAN
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Package stops updated to version 1.9-1 with previous version 1.8-2 dated 2024-09-22

Title: Structure Optimized Proximity Scaling
Description: Methods that use flexible variants of multidimensional scaling (MDS) which incorporate parametric nonlinear distance transformations and trade-off the goodness-of-fit fit with structure considerations to find optimal hyperparameters, also known as structure optimized proximity scaling (STOPS) (Rusch, Mair & Hornik, 2023,<doi:10.1007/s11222-022-10197-w>). The package contains various functions, wrappers, methods and classes for fitting, plotting and displaying different 1-way MDS models with ratio, interval, ordinal optimal scaling in a STOPS framework. These cover essentially the functionality of the package smacofx, including Torgerson (classical) scaling with power transformations of dissimilarities, SMACOF MDS with powers of dissimilarities, Sammon mapping with powers of dissimilarities, elastic scaling with powers of dissimilarities, spherical SMACOF with powers of dissimilarities, (ALSCAL) s-stress MDS with powers of dissimilarities, r-stress MDS, MDS with powers of diss [...truncated...]
Author: Thomas Rusch [aut, cre] , Patrick Mair [aut] , Kurt Hornik [ctb]
Maintainer: Thomas Rusch <thomas.rusch@wu.ac.at>

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Package rplum updated to version 0.5.2 with previous version 0.5.1 dated 2024-09-29

Title: Bayesian Age-Depth Modelling of Cores Dated by Pb-210
Description: An approach to age-depth modelling that uses Bayesian statistics to reconstruct accumulation histories for 210Pb-dated deposits using prior information. It can combine 210Pb, radiocarbon, and other dates in the chronologies. See Aquino et al. (2018) <doi:10.1007/s13253-018-0328-7>. Note that parts of the code underlying 'rplum' are derived from the 'rbacon' package by the same authors, and there remains a degree of overlap between the two packages.
Author: Maarten Blaauw [aut, cre] , J. Andres Christen [aut, ctb, cph] , Marco A. Aquino Lopez [aut] , Judith Esquivel Vazquez [ctb], Oscar M. Gonzalez V. [ctb], Ted Belding [cph], James Theiler [cph], Brian Gough [cph], Charles Karney [cph]
Maintainer: Maarten Blaauw <maarten.blaauw@qub.ac.uk>

Diff between rplum versions 0.5.1 dated 2024-09-29 and 0.5.2 dated 2025-04-28

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Permanent link

Package pkgdown updated to version 2.1.2 with previous version 2.1.1 dated 2024-09-17

Title: Make Static HTML Documentation for a Package
Description: Generate an attractive and useful website from a source package. 'pkgdown' converts your documentation, vignettes, 'README', and more to 'HTML' making it easy to share information about your package online.
Author: Hadley Wickham [aut, cre] , Jay Hesselberth [aut] , Maelle Salmon [aut] , Olivier Roy [aut], Salim Brueggemann [aut] , Posit Software, PBC [cph, fnd]
Maintainer: Hadley Wickham <hadley@posit.co>

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Package pbkrtest updated to version 0.5.4 with previous version 0.5.3 dated 2024-06-26

Title: Parametric Bootstrap, Kenward-Roger and Satterthwaite Based Methods for Test in Mixed Models
Description: Computes p-values based on (a) Satterthwaite or Kenward-Rogers degree of freedom methods and (b) parametric bootstrap for mixed effects models as implemented in the 'lme4' package. Implements parametric bootstrap test for generalized linear mixed models as implemented in 'lme4' and generalized linear models. The package is documented in the paper by Halekoh and Højsgaard, (2012, <doi:10.18637/jss.v059.i09>). Please see 'citation("pbkrtest")' for citation details.
Author: Ulrich Halekoh [aut, cph], Soeren Hoejsgaard [aut, cre, cph]
Maintainer: Soeren Hoejsgaard <sorenh@math.aau.dk>

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Package msme updated to version 0.5.4 with previous version 0.5.3 dated 2018-03-18

Title: Functions and Datasets for "Methods of Statistical Model Estimation"
Description: Functions and datasets from Hilbe, J.M., and Robinson, A.P. 2013. Methods of Statistical Model Estimation. Chapman & Hall / CRC.
Author: Joseph Hilbe [aut], Andrew Robinson [aut, cre]
Maintainer: Andrew Robinson <apro@unimelb.edu.au>

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Package mlogit updated to version 1.1-2 with previous version 1.1-1 dated 2020-10-02

Title: Multinomial Logit Models
Description: Maximum likelihood estimation of random utility discrete choice models. The software is described in Croissant (2020) <doi:10.18637/jss.v095.i11> and the underlying methods in Train (2009) <doi:10.1017/CBO9780511805271>.
Author: Yves Croissant [aut, cre]
Maintainer: Yves Croissant <yves.croissant@univ-reunion.fr>

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Package hubeau updated to version 0.5.2 with previous version 0.5.1 dated 2025-01-13

Title: Get Data from the French National Database on Water 'Hub'Eau'
Description: Collection of functions to help retrieving data from 'Hub'Eau' the free and public French National APIs on water <https://hubeau.eaufrance.fr/>.
Author: David Dorchies [aut, cre] , Pascal Irz [ctb] , Sebastien Grall [ctb], Philippe Amiotte Suchet [ctb]
Maintainer: David Dorchies <david.dorchies@inrae.fr>

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Package COUNT updated to version 1.3.5 with previous version 1.3.4 dated 2016-10-19

Title: Functions, Data and Code for Count Data
Description: Functions, data and code for Hilbe, J.M. 2011. Negative Binomial Regression, 2nd Edition (Cambridge University Press) and Hilbe, J.M. 2014. Modeling Count Data (Cambridge University Press).
Author: Joseph M Hilbe [aut], Andrew Robinson [cre]
Maintainer: Andrew Robinson <apro@unimelb.edu.au>

Diff between COUNT versions 1.3.4 dated 2016-10-19 and 1.3.5 dated 2025-04-28

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Package cgam updated to version 1.26 with previous version 1.25 dated 2025-04-23

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

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Package RcmdrPlugin.BWS2 updated to version 0.3-0 with previous version 0.2-2 dated 2024-05-21

Title: R Commander Plug-in for Case 2 Best-Worst Scaling
Description: Adds menu items for case 2 (profile case) best-worst scaling (BWS2) to the R Commander. BWS2 is a question-based survey method that constructs profiles (combinations of attribute levels) using an orthogonal array, asks respondents to select the best and worst levels in each profile, and measures preferences for attribute levels by analyzing the responses. For details, see Aizaki and Fogarty (2019) <doi:10.1016/j.jocm.2019.100171>.
Author: Hideo Aizaki [aut, cre]
Maintainer: Hideo Aizaki <azk-r@spa.nifty.com>

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Package EDOIF updated to version 0.1.4 with previous version 0.1.3 dated 2021-03-28

Title: Empirical Distribution Ordering Inference Framework (EDOIF)
Description: A non-parametric framework based on estimation statistics principle. Its main purpose is to infer orders of empirical distributions from different categories based on a probability of finding a value in one distribution that is greater than an expectation of another distribution. Given a set of ordered-pair of real-category values the framework is capable of 1) inferring orders of domination of categories and representing orders in the form of a graph; 2) estimating magnitude of difference between a pair of categories in forms of mean-difference confidence intervals; and 3) visualizing domination orders and magnitudes of difference of categories. The publication of this package is at Chainarong Amornbunchornvej, Navaporn Surasvadi, Anon Plangprasopchok, and Suttipong Thajchayapong (2020) <doi:10.1016/j.heliyon.2020.e05435>.
Author: Chainarong Amornbunchornvej [aut, cre]
Maintainer: Chainarong Amornbunchornvej <grandca@gmail.com>

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Package trelloR (with last version 0.8.0) was removed from CRAN

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

2023-08-27 0.8.0
2021-04-21 0.7.1
2021-01-28 0.7.0
2016-09-22 0.1.0

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Package rusquant (with last version 1.1.4) was removed from CRAN

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

2024-09-16 1.1.4

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Sun, 27 Apr 2025

Package VisualizeSimon2Stage updated to version 0.2.2 with previous version 0.2.1 dated 2025-04-13

Title: Visualize Simon's Two-Stage Design
Description: To visualize the probabilities of early termination, fail and success of Simon's two-stage design. To evaluate and visualize the operating characteristics of Simon's two-stage design.
Author: Tingting Zhan [aut, cre]
Maintainer: Tingting Zhan <tingtingzhan@gmail.com>

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Package ggblanket updated to version 12.3.0 with previous version 12.2.0 dated 2025-03-10

Title: Simplify 'ggplot2' Visualisation
Description: Simplify 'ggplot2' visualisation with 'ggblanket' wrapper functions.
Author: David Hodge [aut, cre, cph]
Maintainer: David Hodge <davidhodge931@gmail.com>

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Package cvmaPLFAM updated to version 0.1.1 with previous version 0.1.0 dated 2023-06-09

Title: Cross-Validation Model Averaging for Partial Linear Functional Additive Models
Description: Produce an averaging estimate/prediction by combining all candidate models for partial linear functional additive models, using multi-fold cross-validation criterion. More details can be referred to arXiv e-Prints via <doi:10.48550/arXiv.2105.00966>.
Author: Shishi Liu [aut, cre], Jingxiao Zhang [aut]
Maintainer: Shishi Liu <liushishi_644@163.com>

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Package WaverideR updated to version 0.4.1 with previous version 0.4.0 dated 2025-04-25

Title: Extracting Signals from Wavelet Spectra
Description: The continuous wavelet transform enables the observation of transient/non-stationary cyclicity in time-series. The goal of cyclostratigraphic studies is to define frequency/period in the depth/time domain. By conducting the continuous wavelet transform on cyclostratigraphic data series one can observe and extract cyclic signals/signatures from signals. These results can then be visualized and interpreted enabling one to identify/interpret cyclicity in the geological record, which can be used to construct astrochronological age-models and identify and interpret cyclicity in past and present climate systems. The 'WaverideR' R package builds upon existing literature and existing codebase. The list of articles which are relevant can be grouped in four subjects; cyclostratigraphic data analysis,example data sets,the (continuous) wavelet transform and astronomical solutions. References for the cyclostratigraphic data analysis articles are: Stephen Meyers (2019) <doi:10.1016/j.earscirev.20 [...truncated...]
Author: Michiel Arts [aut, cre]
Maintainer: Michiel Arts <michiel.arts@stratigraphy.eu>

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Package graphpcor updated to version 0.1.12 with previous version 0.1.11 dated 2025-04-19

Title: Models for Correlation Matrices Based on Graphs
Description: Implement some models for correlation/covariance matrices including two approaches to model correlation matrices from a graphical structure. One use latent parent variables as proposed in Sterrantino et. al. (2024) <doi:10.48550/arXiv.2312.06289>. The other uses a graph to specify conditional relations between the variables. The graphical structure makes correlation matrices interpretable and avoids the quadratic increase of parameters as a function of the dimension. In the first approach a natural sequence of simpler models along with a complexity penalization is used. The second penalizes deviations from a base model. These can be used as prior for model parameters, considering C code through the 'cgeneric' interface for the 'INLA' package (<https://www.r-inla.org>). This allows one to use these models as building blocks combined and to other latent Gaussian models in order to build complex data models.
Author: Elias Krainski [cre, aut, cph] , Denis Rustand [aut, cph] , Anna Freni-Sterrantino [aut, cph] , Janet van Niekerk [aut, cph] , Haavard Rue’ [aut]
Maintainer: Elias Krainski <eliaskrainski@gmail.com>

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Package equivalence updated to version 0.8.2 with previous version 0.7.2 dated 2016-05-13

Title: Provides Tests and Graphics for Assessing Tests of Equivalence
Description: Provides statistical tests and graphics for assessing tests of equivalence. Such tests have similarity as the alternative hypothesis instead of the null. Sample data sets are included.
Author: Andrew Robinson [aut, cre]
Maintainer: Andrew Robinson <apro@unimelb.edu.au>

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Package undidR updated to version 1.0.2 with previous version 1.0.1 dated 2025-02-24

Title: Difference-in-Differences with Unpoolable Data
Description: A framework for estimating difference-in-differences with unpoolable data, based on Karim, Webb, Austin, and Strumpf (2024) <doi:10.48550/arXiv.2403.15910>. Supports common or staggered adoption, multiple groups, and the inclusion of covariates. Also computes p-values for the aggregate average treatment effect on the treated via the randomization inference procedure described in MacKinnon and Webb (2020) <doi:10.1016/j.jeconom.2020.04.024>.
Author: Eric Jamieson [aut, cre, cph]
Maintainer: Eric Jamieson <ericbrucejamieson@gmail.com>

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Package PCMBaseCpp updated to version 0.1.10 with previous version 0.1.9 dated 2020-03-22

Title: Fast Likelihood Calculation for Phylogenetic Comparative Models
Description: Provides a C++ backend for multivariate phylogenetic comparative models implemented in the R-package 'PCMBase'. Can be used in combination with 'PCMBase' to enable fast and parallel likelihood calculation. Implements the pruning likelihood calculation algorithm described in Mitov et al. (2020) <doi:10.1016/j.tpb.2019.11.005>. Uses the 'SPLITT' C++ library for parallel tree traversal described in Mitov and Stadler (2018) <doi:10.1111/2041-210X.13136>.
Author: Venelin Mitov [aut, cre, cph]
Maintainer: Venelin Mitov <vmitov@gmail.com>

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Package redatamx updated to version 1.1.3 with previous version 1.1.2 dated 2025-04-05

Title: R Interface to 'Redatam' Library
Description: Provides an API to work with 'Redatam' (see <https://redatam.org>) databases in both formats: 'RXDB' (new format) and 'DICX' (old format) and running 'Redatam' programs written in 'SPC' language. It's a wrapper around 'Redatam' core and provides functions to open/close a database (redatam_open()/redatam_close()), list entities and variables from the database (redatam_entities(), redatam_variables()) and execute a 'SPC' program and gets the results as data frames (redatam_query(), redatam_run()).
Author: Jaime Salvador [aut, cre] , CELADE [cph]
Maintainer: Jaime Salvador <jaime.salvador@ideasybits.com>

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Package netmediate updated to version 1.1.0 with previous version 1.0.1 dated 2024-06-19

Title: Micro-Macro Analysis for Social Networks
Description: Estimates micro effects on macro structures (MEMS) and average micro mediated effects (AMME). URL: <https://github.com/sduxbury/netmediate>. BugReports: <https://github.com/sduxbury/netmediate/issues>. Robins, Garry, Phillipa Pattison, and Jodie Woolcock (2005) <doi:10.1086/427322>. Snijders, Tom A. B., and Christian E. G. Steglich (2015) <doi:10.1177/0049124113494573>. Imai, Kosuke, Luke Keele, and Dustin Tingley (2010) <doi:10.1037/a0020761>. Duxbury, Scott (2023) <doi:10.1177/00811750231209040>. Duxbury, Scott (2024) <doi:10.1177/00811750231220950>.
Author: Scott Duxbury [aut, cre, cph], Xin Zhao [ctb]
Maintainer: Scott Duxbury <duxbury@email.unc.edu>

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Package TBox updated to version 0.2.2 with previous version 0.1.2 dated 2024-06-14

Title: Useful Functions for Programming and Generating Documents
Description: Tools to help developers and producers manipulate R objects and outputs. It includes tools for displaying results and objects, and for formatting them in the correct format.
Author: Tanguy Barthelemy [aut, cre]
Maintainer: Tanguy Barthelemy <tanguy.barthelemy@insee.fr>

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Package spuRs updated to version 2.0.3 with previous version 2.0.2 dated 2018-05-21

Title: Functions and Datasets for "Introduction to Scientific Programming and Simulation Using R"
Description: Provides functions and datasets from Jones, O.D., R. Maillardet, and A.P. Robinson. 2014. An Introduction to Scientific Programming and Simulation, Using R. 2nd Ed. Chapman And Hall/CRC.
Author: Owen Jones [aut], Robert Maillardet [aut], Andrew Robinson [aut, cre], Olga Borovkova [aut], Steven Carnie [aut]
Maintainer: Andrew Robinson <apro@unimelb.edu.au>

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Package Rgof updated to version 3.2.0 with previous version 3.1.0 dated 2025-03-13

Title: 1d Goodness of Fit Tests
Description: Routines that allow the user to run a large number of goodness-of-fit tests. It allows for data to be continuous or discrete. It includes routines to estimate the power of the tests and display them as a power graph. The routine run.studies allows a user to quickly study the power of a new method and how it compares to some of the standard ones.
Author: Wolfgang Rolke [aut, cre]
Maintainer: Wolfgang Rolke <wolfgang.rolke@upr.edu>

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Package R2sample updated to version 4.0.0 with previous version 3.1.1 dated 2025-03-16

Title: Various Methods for the Two Sample Problem
Description: The routine twosample_test() in this package runs the two sample test using various test statistic. The p values are found via permutation or large sample theory. The routine twosample_power() allows the calculation of the power in various cases, and plot_power() draws the corresponding power graphs. The routine run.studies allows a user to quickly study the power of a new method and how it compares to some of the standard ones.
Author: Wolfgang Rolke [aut, cre]
Maintainer: Wolfgang Rolke <wolfgang.rolke@upr.edu>

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Package ldatuning (with last version 1.0.2) was removed from CRAN

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

2020-04-21 1.0.2
2020-04-09 1.0.1
2019-05-12 1.0.0
2016-10-24 0.2.0
2015-09-16 0.1.0

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Package LDABiplots (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:

2022-07-18 0.1.2

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Package kpmt (with last version 0.1.0) was removed from CRAN

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

2017-08-01 0.1.0

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Package LDAShiny (with last version 0.9.3) was removed from CRAN

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

2021-03-29 0.9.3

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Package qpcR (with last version 1.4-1) was removed from CRAN

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

2018-06-14 1.4-1
2014-09-15 1.4-0
2014-08-11 1.3-9
2014-06-02 1.3-8
2013-04-18 1.3-7.1
2012-09-25 1.3-7
2012-02-22 1.3-6
2011-10-11 1.3-5
2011-03-07 1.3-4
2010-11-03 1.3-3
2010-09-08 1.3-2
2010-08-19 1.3-1
2010-08-16 1.3-0
2010-07-26 1.2-9
2010-06-18 1.2-8
2010-05-03 1.2-7
2010-03-01 1.2-6
2010-02-19 1.2-5
2010-01-26 1.2-4
2009-11-06 1.2-3
2009-09-21 1.2-2
2009-08-13 1.2-1
2009-07-21 1.2-0
2009-03-27 1.1-8
2008-12-16 1.1-7
2008-08-20 1.1-5
2008-06-09 1.1-3
2008-05-14 1.1-1
2008-02-11 1.0-6

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Package FishResp (with last version 1.1.2) was removed from CRAN

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2024-11-12 1.1.2
2022-09-18 1.1.1
2021-05-11 1.1.0
2019-03-07 1.0.3

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Package rMR (with last version 1.1.0) was removed from CRAN

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2018-01-21 1.1.0
2017-09-08 1.0.5
2017-01-20 1.0.4
2017-01-06 1.0.3

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Package DTSR updated to version 0.2.0 with previous version 0.1.0 dated 2024-11-08

Title: Distributed Trimmed Scores Regression for Handling Missing Data
Description: Provides functions for handling missing data using Distributed Trimmed Scores Regression and other imputation methods. It includes facilities for data imputation, evaluation metrics, and clustering analysis. It is designed to work in distributed computing environments to handle large datasets efficiently. The philosophy of the package is described in Guo G. (2024) <doi:10.1080/03610918.2022.2091779>.
Author: Guangbao Guo [aut, cre, cph] , Ruiling Niu [aut]
Maintainer: Guangbao Guo <ggb11111111@163.com>

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Sat, 26 Apr 2025

Package FastHamming updated to version 1.2 with previous version 1.1 dated 2025-04-25

Title: Fast Computation of Pairwise Hamming Distances
Description: Pairwise Hamming distances are computed between the rows of a binary (0/1) matrix using highly optimized 'C' code. The input is an integer matrix where each row represents a binary feature vector and returns a symmetric integer matrix of pairwise distances. Internally, rows are bit-packed into 64-bit words for fast XOR-based comparisons, with hardware-accelerated popcount operations to count differences. 'OpenMP' parallelization ensures efficient performance for large matrices.
Author: Ravi Varadhan [aut, cre]
Maintainer: Ravi Varadhan <ravi.varadhan@jhu.edu>

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Package ExtremeRisks updated to version 0.0.4-1 with previous version 0.0.4 dated 2020-08-27

Title: Extreme Risk Measures
Description: A set of procedures for estimating risks related to extreme events via risk measures such as Expectile, Value-at-Risk, etc. is provided. Estimation methods for univariate independent observations and temporal dependent observations are available. The methodology is extended to the case of independent multidimensional observations. The statistical inference is performed through parametric and non-parametric estimators. Inferential procedures such as confidence intervals, confidence regions and hypothesis testing are obtained by exploiting the asymptotic theory. Adapts the methodologies derived in Padoan and Stupfler (2022) <doi:10.3150/21-BEJ1375>, Davison et al. (2023) <doi:10.1080/07350015.2022.2078332>, Daouia et al. (2018) <doi:10.1111/rssb.12254>, Drees (2000) <doi:10.1214/aoap/1019487617>, Drees (2003) <doi:10.3150/bj/1066223272>, de Haan and Ferreira (2006) <doi:10.1007/0-387-34471-3>, de Haan et al. (2016) <doi:10.1007/s00780-015-0287-6> [...truncated...]
Author: Simone Padoan [cre, aut], Gilles Stupfler [aut], Bocconi Institute for Data Science and Analytics [fnd], French National Research [fnd]
Maintainer: Simone Padoan <simone.padoan@unibocconi.it>

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Package uiucthemes updated to version 0.3.3 with previous version 0.3.1 dated 2020-07-25

Title: 'R' 'Markdown' Themes for 'UIUC' Documents and Presentations
Description: A set of custom 'R' 'Markdown' templates for documents and presentations with the University of Illinois at Urbana-Champaign (UIUC) color scheme and identity standards.
Author: James Balamuta [aut, cre] , Steven Andrew Culpepper [ctb] , David Dalpiaz [ctb] , Jose Luis Rodriguez [ctb] Beamer Theme)
Maintainer: James Balamuta <balamut2@illinois.edu>

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Package rerddapXtracto updated to version 1.2.3 with previous version 1.2.2 dated 2025-02-25

Title: Extracts Environmental Data from 'ERDDAP™' Web Services
Description: Contains three functions that access environmental data from any 'ERDDAP™' data web service. The rxtracto() function extracts data along a trajectory for a given "radius" around the point. The rxtracto_3D() function extracts data in a box. The rxtractogon() function extracts data in a polygon. All of those three function use the 'rerddap' package to extract the data, and should work with any 'ERDDAP™' server. There are also two functions, plotBBox() and plotTrack() that use the 'plotdap' package to simplify the creation of maps of the data.
Author: Roy Mendelssohn [aut, cre], Marie Auger-Methe [ctb], Sunny Bak-Hospital [ctb]
Maintainer: Roy Mendelssohn <roy.mendelssohn@noaa.gov>

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Package bhm updated to version 1.19 with previous version 1.18 dated 2022-08-31

Title: Biomarker Threshold Models
Description: Contains tools to fit both predictive and prognostic biomarker effects using biomarker threshold models and continuous threshold models. Evaluate the treatment effect, biomarker effect and treatment-biomarker interaction using probability index measurement. Test for treatment-biomarker interaction using residual bootstrap method.
Author: Bingshu E. Chen [aut, cre]
Maintainer: Bingshu E. Chen <bingshu.chen@queensu.ca>

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Package OpenSpecy updated to version 1.5.3 with previous version 1.4.0 dated 2024-11-04

Title: Analyze, Process, Identify, and Share Raman and (FT)IR Spectra
Description: Raman and (FT)IR spectral analysis tool for plastic particles and other environmental samples (Cowger et al. 2021, <doi:10.1021/acs.analchem.1c00123>). With read_any(), Open Specy provides a single function for reading individual, batch, or map spectral data files like .asp, .csv, .jdx, .spc, .spa, .0, and .zip. process_spec() simplifies processing spectra, including smoothing, baseline correction, range restriction and flattening, intensity conversions, wavenumber alignment, and min-max normalization. Spectra can be identified in batch using an onboard reference library (Cowger et al. 2020, <doi:10.1177/0003702820929064>) using match_spec(). A Shiny app is available via run_app() or online at <https://www.openanalysis.org/openspecy/>.
Author: Win Cowger [cre, aut, dtc] , Zacharias Steinmetz [aut] , Hazel Vaquero [aut] , Nick Leong [aut] , Andrea Faltynkova [aut, dtc] , Hannah Sherrod [aut] , Andrew B Gray [ctb] , Hannah Hapich [ctb] , Jennifer Lynch [ctb, dtc] , Hannah De Frond [ctb, dtc] [...truncated...]
Maintainer: Win Cowger <wincowger@gmail.com>

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Package gmDatabase updated to version 0.5.1 with previous version 0.5.0 dated 2016-06-16

Title: Accessing a Geometallurgical Database with R
Description: A template for a geometallurgical database and a fast and easy interface for accessing it.
Author: K. Gerald van den Boogaart [aut, cre], Stephan Matos Camacho [aut]
Maintainer: K. Gerald van den Boogaart <support@boogaart.de>

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Package cucumber updated to version 2.0.1 with previous version 2.0.0 dated 2025-04-04

Title: Behavior-Driven Development for R
Description: Write executable specifications in a natural language that describes how your code should behave. Write specifications in feature files using 'Gherkin' language and execute them using functions implemented in R. Use them as an extension to your 'testthat' tests to provide a high level description of how your code works.
Author: Jakub Sobolewski [aut, cre]
Maintainer: Jakub Sobolewski <jakupsob@gmail.com>

Diff between cucumber versions 2.0.0 dated 2025-04-04 and 2.0.1 dated 2025-04-26

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Package psData (with last version 0.2.2) was removed from CRAN

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

2016-09-03 0.2.2
2016-02-10 0.2
2014-02-23 0.1.2

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Package rties (with last version 5.0.0) was removed from CRAN

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

2020-05-11 5.0.0

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Package E4tools (with last version 0.1.1) was removed from CRAN

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

2019-07-07 0.1.1
2019-06-28 0.1.0

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Package DataCombine (with last version 0.2.21) was removed from CRAN

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

2016-04-13 0.2.21
2016-03-27 0.2.20
2016-03-07 0.2.19
2015-12-24 0.2.18
2015-02-11 0.2.9
2015-01-31 0.2.8.3
2014-12-08 0.2.7.1
2014-11-19 0.2.7
2014-08-13 0.2.2
2014-05-06 0.1.26
2014-04-07 0.1.24
2014-03-31 0.1.23
2014-02-21 0.1.17
2014-01-20 0.1.13
2014-01-10 0.1.12
2013-12-10 0.1.11
2013-12-02 0.1.10
2013-09-27 0.1.8
2013-08-03 0.1.6
2013-06-04 0.1.5.2
2013-05-21 0.1.5
2013-05-16 0.1.3

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Package gesttools (with last version 1.3.0) was removed from CRAN

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

2022-01-04 1.3.0
2021-06-10 1.2.0
2020-12-08 1.0.1

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Package OptimalDesign updated to version 1.0.2.1 with previous version 1.0.1 dated 2019-12-02

Title: A Toolbox for Computing Efficient Designs of Experiments
Description: Algorithms for D-, A-, I-, and c-optimal designs. Some of the functions in this package require the 'gurobi' software and its accompanying R package. For their installation, please follow the instructions at <https://www.gurobi.com> and the file gurobi_inst.txt, respectively.
Author: Radoslav Harman [aut], Lenka Filova [aut, cre]
Maintainer: Lenka Filova <optimaldesignr@gmail.com>

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Fri, 25 Apr 2025

Package evola updated to version 1.0.5 with previous version 1.0.4 dated 2025-01-18

Title: Evolutionary Algorithm
Description: Runs an evolutionary algorithm using the 'AlphaSimR' machinery <doi:10.1093/g3journal/jkaa017> .
Author: Giovanny Covarrubias-Pazaran [aut, cre]
Maintainer: Giovanny Covarrubias-Pazaran <cova_ruber@live.com.mx>

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Package mbg updated to version 1.1.0 with previous version 1.0.0 dated 2025-04-02

Title: Model-Based Geostatistics
Description: Modern model-based geostatistics for point-referenced data. This package provides a simple interface to run spatial machine learning models and geostatistical models that estimate a continuous (raster) surface from point-referenced outcomes and, optionally, a set of raster covariates. The package also includes functions to summarize raster outcomes by (polygon) region while preserving uncertainty.
Author: Nathaniel Henry [aut, cre] , Benjamin Mayala [aut]
Maintainer: Nathaniel Henry <nat@henryspatialanalysis.com>

Diff between mbg versions 1.0.0 dated 2025-04-02 and 1.1.0 dated 2025-04-25

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Package rollama updated to version 0.2.2 with previous version 0.2.1 dated 2025-04-24

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 0.2.1 dated 2025-04-24 and 0.2.2 dated 2025-04-25

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Package RcppArmadillo updated to version 14.4.2-1 with previous version 14.4.1-1 dated 2025-03-28

Title: 'Rcpp' Integration for the 'Armadillo' Templated Linear Algebra Library
Description: 'Armadillo' is a templated C++ linear algebra library (by Conrad Sanderson) that aims towards a good balance between speed and ease of use. Integer, floating point and complex numbers are supported, as well as a subset of trigonometric and statistics functions. Various matrix decompositions are provided through optional integration with LAPACK and ATLAS libraries. The 'RcppArmadillo' package includes the header files from the templated 'Armadillo' library. Thus users do not need to install 'Armadillo' itself in order to use 'RcppArmadillo'. From release 7.800.0 on, 'Armadillo' is licensed under Apache License 2; previous releases were under licensed as MPL 2.0 from version 3.800.0 onwards and LGPL-3 prior to that; 'RcppArmadillo' (the 'Rcpp' bindings/bridge to Armadillo) is licensed under the GNU GPL version 2 or later, as is the rest of 'Rcpp'.
Author: Dirk Eddelbuettel [aut, cre] , Romain Francois [aut] , Doug Bates [aut] , Binxiang Ni [aut], Conrad Sanderson [aut]
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between RcppArmadillo versions 14.4.1-1 dated 2025-03-28 and 14.4.2-1 dated 2025-04-25

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New package onemap with initial version 3.2.1
Package: onemap
Title: Construction of Genetic Maps in Experimental Crosses
Version: 3.2.1
Description: Analysis of molecular marker data from model and non-model systems. For the later, it allows statistical analysis by simultaneously estimating linkage and linkage phases (genetic map construction) according to Wu and colleagues (2002) <doi:10.1006/tpbi.2002.1577>. All analysis are based on multi-point approaches using hidden Markov models.
Author: Gabriel Margarido [aut], Marcelo Mollinari [aut], Cristiane Taniguti [ctb, cre], Getulio Ferreira [ctb], Rodrigo Amadeu [ctb], Jeekin Lau [ctb], Karl Broman [ctb], Katharine Preedy [ctb, cph] , Bastian Schiffthaler [ctb, cph] , Augusto Garcia [aut, c [...truncated...]
LinkingTo: Rcpp (>= 1.0.0)
Depends: R (>= 3.6.0)
Imports: ggplot2 (>= 2.2.1), plotly (>= 4.7.1), reshape2 (>= 1.4.1), Rcpp (>= 0.10.5), graphics, methods, stats, utils, grDevices, smacof, princurve, parallel, dplyr, tidyr, htmlwidgets, ggpubr, RColorBrewer, dendextend, rebus, vcfR (>= 1.6.0)
Suggests: knitr (>= 1.10), rmarkdown, testthat, stringr
VignetteBuilder: knitr
Encoding: UTF-8
License: GPL-3
URL: https://github.com/cristianetaniguti/onemap
BugReports: https://github.com/Cristianetaniguti/onemap/issues
Maintainer: Cristiane Taniguti <cht47@cornell.edu>
Repository: CRAN
Packaged: 2025-04-25 19:38:57 UTC; cht47
NeedsCompilation: yes
Date/Publication: 2025-04-25 23:20:06 UTC

More information about onemap at CRAN
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Package ODRF updated to version 0.0.5 with previous version 0.0.4 dated 2023-05-28

Title: Oblique Decision Random Forest for Classification and Regression
Description: The oblique decision tree (ODT) uses linear combinations of predictors as partitioning variables in a decision tree. Oblique Decision Random Forest (ODRF) is an ensemble of multiple ODTs generated by feature bagging. Oblique Decision Boosting Tree (ODBT) applies feature bagging during the training process of ODT-based boosting trees to ensemble multiple boosting trees. All three methods can be used for classification and regression, and ODT and ODRF serve as supplements to the classical CART of Breiman (1984) <DOI:10.1201/9781315139470> and Random Forest of Breiman (2001) <DOI:10.1023/A:1010933404324> respectively.
Author: Yu Liu [aut, cre, cph], Yingcun Xia [aut]
Maintainer: Yu Liu <liuyuchina123@gmail.com>

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Package flexlsx updated to version 0.3.5 with previous version 0.3.4 dated 2025-02-26

Title: Exporting 'flextable' to 'xlsx' Files
Description: Exports 'flextable' objects to 'xlsx' files, utilizing functionalities provided by 'flextable' and 'openxlsx2'.
Author: Tobias Heidler [aut, cre, cph]
Maintainer: Tobias Heidler <flexlsx@heidler.ovh>

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Package rgplates updated to version 0.6.0 with previous version 0.5.0 dated 2024-09-06

Title: R Interface for the GPlates Web Service and Desktop Application
Description: Query functions to the GPlates <https://www.gplates.org/> Desktop Application and the GPlates Web Service <https://gws.gplates.org/> allow users to reconstruct past positions of geographic entities based on user-selected rotation models without leaving the R running environment. The online method (GPlates Web Service) makes the rotation of static plates, coastlines, and a low number of geographic coordinates available using nothing but an internet connection. The offline method requires an external installation of the GPlates Desktop Application, but allows the efficient batch rotation of thousands of coordinates, Simple Features (sf) and Spatial (sp) objects with custom reconstruction trees and partitioning polygons. Examples of such plate tectonic models are accessible via the chronosphere <https://cran.r-project.org/package=chronosphere>. This R extension is developed under the umbrella of the DFG (Deutsche Forschungsgemeinschaft) Research Unit TERSANE2 (For 2332, [...truncated...]
Author: Adam T. Kocsis [cre, aut] , Nussaibah B. Raja [ctb] , Simon Williams [ctb] , Elizabeth M. Dowding [ctb] , Deutsche Forschungsgemeinschaft [fnd], FAU GeoZentrum Nordbayern [fnd]
Maintainer: Adam T. Kocsis <adam.t.kocsis@gmail.com>

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Package nanostringr updated to version 0.6.0 with previous version 0.5.0 dated 2025-02-05

Title: Performs Quality Control, Data Normalization, and Batch Effect Correction for 'NanoString nCounter' Data
Description: Provides quality control (QC), normalization, and batch effect correction operations for 'NanoString nCounter' data, Talhouk et al. (2016) <doi:10.1371/journal.pone.0153844>. Various metrics are used to determine which samples passed or failed QC. Gene expression should first be normalized to housekeeping genes, before a reference-based approach is used to adjust for batch effects. Raw NanoString data can be imported in the form of Reporter Code Count (RCC) files.
Author: Derek Chiu [aut, cre] , Aline Talhouk [aut] , Samuel Leung [aut]
Maintainer: Derek Chiu <dchiu@bccrc.ca>

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Package geoR updated to version 1.9-5 with previous version 1.9-4 dated 2024-02-15

Title: Analysis of Geostatistical Data
Description: Geostatistical analysis including variogram-based, likelihood-based and Bayesian methods. Software companion for Diggle and Ribeiro (2007) <doi:10.1007/978-0-387-48536-2>.
Author: Paulo Justiniano Ribeiro Jr [aut, cre], Peter Diggle [aut], Ole Christensen [ctb], Martin Schlather [ctb], Roger Bivand [ctb], Brian Ripley [ctb]
Maintainer: Paulo Justiniano Ribeiro Jr <paulojus@ufpr.br>

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Package CausalModels updated to version 0.2.1 with previous version 0.2.0 dated 2022-11-23

Title: Causal Inference Modeling for Estimation of Causal Effects
Description: Provides an array of statistical models common in causal inference such as standardization, IP weighting, propensity matching, outcome regression, and doubly-robust estimators. Estimates of the average treatment effects from each model are given with the standard error and a 95% Wald confidence interval (Hernan, Robins (2020) <https://miguelhernan.org/whatifbook/>).
Author: Joshua Anderson [aut, cre, cph], Cyril Rakovski [rev], Yesha Patel [rev], Erin Lee [rev]
Maintainer: Joshua Anderson <jwanderson198@gmail.com>

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Package zippeR updated to version 0.1.2 with previous version 0.1.1 dated 2025-02-25

Title: Working with United States ZIP Code and ZIP Code Tabulation Area Data
Description: Provides a set of functions for working with American postal codes, which are known as ZIP Codes. These include accessing ZIP Code to ZIP Code Tabulation Area (ZCTA) crosswalks, retrieving demographic data for ZCTAs, and tabulating demographic data for three-digit ZCTAs.
Author: Christopher Prener [aut, cre] , Timothy Wiemken [aut] , Angela Cook [aut]
Maintainer: Christopher Prener <Christopher.Prener@pfizer.com>

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Package super updated to version 0.1.1 with previous version 0.1.0 dated 2025-03-11

Title: Interpreted String Literals
Description: An implementation of interpreted string literals. Based on the 'glue' package by Hester & Bryan (2024) <doi:10.32614/CRAN.package.glue> but with a focus on efficiency and simplicity at a cost of flexibility.
Author: Tim Taylor [aut, cre] , Jim Hester [aut] , Jennifer Bryan [aut] , Posit Software, PBC [cph, fnd]
Maintainer: Tim Taylor <tim.taylor@hiddenelephants.co.uk>

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Package rprime updated to version 0.1.3 with previous version 0.1.2 dated 2020-09-24

Title: Functions for Working with 'Eprime' Text Files
Description: 'Eprime' is a set of programs for administering psychological experiments by computer. This package provides functions for loading, parsing, filtering and exporting data in the text files produced by 'Eprime' experiments.
Author: Tristan Mahr [aut, cre]
Maintainer: Tristan Mahr <tristan.mahr@wisc.edu>

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Package microsynth updated to version 2.0.51 with previous version 2.0.44 dated 2023-06-30

Title: Synthetic Control Methods with Micro- And Meso-Level Data
Description: A generalization of the 'Synth' package that is designed for data at a more granular level (e.g., micro-level). Provides functions to construct weights (including propensity score-type weights) and run analyses for synthetic control methods with micro- and meso-level data; see Robbins, Saunders, and Kilmer (2017) <doi:10.1080/01621459.2016.1213634> and Robbins and Davenport (2021) <doi:10.18637/jss.v097.i02>.
Author: Michael Robbins [aut, cre], Steven Davenport [aut]
Maintainer: Michael Robbins <mrobbins@rand.org>

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Package XDNUTS updated to version 1.6 with previous version 1.5.6 dated 2025-01-28

Title: Discontinuous Hamiltonian Monte Carlo with Varying Trajectory Length
Description: Hamiltonian Monte Carlo for both continuous and discontinuous posterior distributions with customisable trajectory length termination criterion. See Nishimura et al. (2020) <doi:10.1093/biomet/asz083> for the original Discontinuous Hamiltonian Monte Carlo, Hoffman et al. (2014) <doi:10.48550/arXiv.1111.4246> and Betancourt (2016) <doi:10.48550/arXiv.1601.00225> for the definition of possible Hamiltonian Monte Carlo termination criteria.
Author: Paolo Manildo [aut, cre]
Maintainer: Paolo Manildo <paolo.manildo@phd.unipd.it>

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Package skpr updated to version 1.8.2 with previous version 1.7.1 dated 2024-03-25

Title: Design of Experiments Suite: Generate and Evaluate Optimal Designs
Description: Generates and evaluates D, I, A, Alias, E, T, and G optimal designs. Supports generation and evaluation of blocked and split/split-split/.../N-split plot designs. Includes parametric and Monte Carlo power evaluation functions, and supports calculating power for censored responses. Provides a framework to evaluate power using functions provided in other packages or written by the user. Includes a Shiny graphical user interface that displays the underlying code used to create and evaluate the design to improve ease-of-use and make analyses more reproducible. For details, see Morgan-Wall et al. (2021) <doi:10.18637/jss.v099.i01>.
Author: Tyler Morgan-Wall [aut, cre], George Khoury [aut]
Maintainer: Tyler Morgan-Wall <tylermw@gmail.com>

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Package RBesT updated to version 1.8-2 with previous version 1.8-1 dated 2025-01-21

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 psd updated to version 2.1.2 with previous version 2.1.1 dated 2022-01-31

Title: Adaptive, Sine-Multitaper Power Spectral Density and Cross Spectrum Estimation
Description: Produces power spectral density estimates through iterative refinement of the optimal number of sine-tapers at each frequency. This optimization procedure is based on the method of Riedel and Sidorenko (1995), which minimizes the Mean Square Error (sum of variance and bias) at each frequency, but modified for computational stability. The same procedure can now be used to calculate the cross spectrum (multivariate analyses).
Author: Andrew J. Barbour [aut, cre] , Jonathan Kennel [aut] , Robert L. Parker [aut]
Maintainer: Andrew J. Barbour <andy.barbour@gmail.com>

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Package PracTools updated to version 1.6 with previous version 1.5 dated 2024-06-24

Title: Designing and Weighting Survey Samples
Description: Functions and datasets to support Valliant, Dever, and Kreuter (2018), <doi:10.1007/978-3-319-93632-1>, "Practical Tools for Designing and Weighting Survey Samples". Contains functions for sample size calculation for survey samples using stratified or clustered one-, two-, and three-stage sample designs, and single-stage audit sample designs. Functions are included that will group geographic units accounting for distances apart and measures of size. Other functions compute variance components for multistage designs and sample sizes in two-phase designs. A number of example data sets are included.
Author: Richard Valliant [aut, cre], Jill A. Dever [ctb], Frauke Kreuter [ctb], George Zipf [aut]
Maintainer: Richard Valliant <valliant@umich.edu>

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Package OncoBayes2 updated to version 0.9-3 with previous version 0.9-2 dated 2025-04-07

Title: Bayesian Logistic Regression for Oncology Dose-Escalation Trials
Description: Bayesian logistic regression model with optional EXchangeability-NonEXchangeability parameter modelling for flexible borrowing from historical or concurrent data-sources. The safety model can guide dose-escalation decisions for adaptive oncology Phase I dose-escalation trials which involve an arbitrary number of drugs. Please refer to Neuenschwander et al. (2008) <doi:10.1002/sim.3230> and Neuenschwander et al. (2016) <doi:10.1080/19466315.2016.1174149> for details on the methodology.
Author: Novartis Pharma AG [cph], Sebastian Weber [aut, cre], Lukas A. Widmer [aut], Andrew Bean [aut], Trustees of Columbia University [cph]
Maintainer: Sebastian Weber <sebastian.weber@novartis.com>

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Package fasterRaster updated to version 8.4.0.7 with previous version 8.4.0.5 dated 2025-02-25

Title: Faster Raster and Spatial Vector Processing Using 'GRASS GIS'
Description: Processing of large-in-memory/large-on disk rasters and spatial vectors using 'GRASS GIS' <https://grass.osgeo.org/>. Most functions in the 'terra' package are recreated. Processing of medium-sized and smaller spatial objects will nearly always be faster using 'terra' or 'sf', but for large-in-memory/large-on-disk objects, 'fasterRaster' may be faster. To use most of the functions, you must have the stand-alone version (not the 'OSGeoW4' installer version) of 'GRASS GIS' 8.0 or higher.
Author: Adam B. Smith [cre, aut]
Maintainer: Adam B. Smith <adam.smith@mobot.org>

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Package sae4health updated to version 1.2.2 with previous version 1.2.1 dated 2025-04-01

Title: Small Area Estimation for Key Health and Demographic Indicators from Household Surveys
Description: Enables small area estimation (SAE) of health and demographic indicators in low- and middle-income countries (LMICs). It powers an R 'shiny' application that helps public health analysts, policymakers, and researchers generate subnational estimates and prevalence maps for 150+ binary indicators from Demographic and Health Surveys (DHS). Basing its core SAE analysis workflow on the 'surveyPrev' package, the app ensures methodological rigor through guided model selection, automated fitting, and interactive visualization. For more details, visit <https://sae4health.stat.uw.edu/>.
Author: Yunhan Wu [cre, aut], Qianyu Dong [aut], Zehang R Li [aut], Jon Wakefield [aut]
Maintainer: Yunhan Wu <wu-thomas@outlook.com>

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New package trendeval with initial version 0.1.1
Package: trendeval
Title: Evaluate Trending Models
Version: 0.1.1
Description: Provides a coherent interface for evaluating models fit with the trending package. This package is part of the RECON (<https://www.repidemicsconsortium.org/>) toolkit for outbreak analysis.
URL: https://github.com/reconverse/trendeval
BugReports: https://github.com/reconverse/trendeval/issues
License: MIT + file LICENSE
Encoding: UTF-8
Imports: trending, yardstick, rsample, stats, tibble, utils
Suggests: testthat (>= 3.0.0), dplyr, outbreaks
NeedsCompilation: no
Packaged: 2025-04-25 09:15:45 UTC; thiba
Author: Dirk Schumacher [aut], Thibaut Jombart [aut, cre], Tim Taylor [ctb]
Maintainer: Thibaut Jombart <thibautjombart@gmail.com>
Repository: CRAN
Date/Publication: 2025-04-25 15:20:02 UTC

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New package Rmoji with initial version 0.1.0
Package: Rmoji
Title: Interactively Insert Emojis in 'R' Documents
Version: 0.1.0
Maintainer: Berhe Etsay Tesfay <berhe.etsay@gmail.com>
Description: Provides an intuitive and user-friendly interface for working with emojis in 'R'. It allows users to search, insert, and manage emojis by keyword, category, or through an interactive 'shiny'-based drop-down. The package enables integration of emojis into 'R' scripts, 'R Markdown', 'Quarto', 'shiny' apps, and 'ggplot2' plots. Also includes built-in mappings for commit messages, useful for version control. It builds on established emoji libraries and Unicode standards, adding expressiveness and visual cues to documentation, user interfaces, and reports. For more details see 'Emojipedia' (2024) <https://emojipedia.org> and GitHub Emoji Cheat Sheet <https://github.com/ikatyang/emoji-cheat-sheet/tree/master>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.4)
Imports: rstudioapi, shiny, shinyjs
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), mockery, devtools
URL: https://github.com/3p1d3m/Rmoji
BugReports: https://github.com/3p1d3m/Rmoji/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-04-25 11:50:18 UTC; berhe
Author: Berhe Etsay Tesfay [aut, cre]
Repository: CRAN
Date/Publication: 2025-04-25 15:20:06 UTC

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New package PopComm with initial version 0.1.0.1
Package: PopComm
Title: Population-Level Cell-Cell Communication Analysis Tools
Version: 0.1.0.1
Description: Facilitates population-level analysis of ligand-receptor (LR) interactions using large-scale single-cell transcriptomic data. Identifies significant LR pairs and quantifies their interactions through correlation-based filtering and projection score computations. Designed for large-sample single-cell studies, the package employs statistical modeling, including linear regression, to investigate LR relationships between cell types. It provides a systematic framework for understanding cell-cell communication, uncovering regulatory interactions and signaling mechanisms. Offers tools for LR pair-level, sample-level, and differential interaction analyses, with comprehensive visualization support to aid biological interpretation. The methodology is described in a manuscript currently under review and will be referenced here once published or publicly available.
Depends: R (>= 4.1.0)
Imports: Seurat (>= 4.1.0), broom (>= 1.0.0), dplyr (>= 1.0.0), purrr (>= 0.3.0), rlang, stringr (>= 1.4.0), tibble (>= 3.0.0), tidyr (>= 1.0.0), tidyselect (>= 1.1.0), Matrix (>= 1.2-0), ggplot2 (>= 3.3.0), ggpubr (>= 0.6.0), pheatmap (>= 1.0.12), RColorBrewer, reshape2 (>= 1.4.1), scales (>= 1.1.1), igraph (>= 2.0.0), parallel, pbmcapply (>= 1.5.0), grDevices
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2025-04-25 09:12:42 UTC; gongz
Author: Zheng Gong [aut, cre] , Mengwei Li [aut, ctb]
Maintainer: Zheng Gong <gongzheng131@hotmail.com>
Repository: CRAN
Date/Publication: 2025-04-25 15:20:09 UTC

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Package Jcvrisk updated to version 0.1.2 with previous version 0.1.1 dated 2025-04-18

Title: Risk Calculator for Cardiovascular Disease in Japan
Description: A calculation tool to obtain the 10-year risk of cardiovascular disease from various risk models (Hisayama, Suita, EPOCH Japan).
Author: Hiroshi Okumiyama [aut, cre], Ryosuke Fujii [aut]
Maintainer: Hiroshi Okumiyama <xzxz2019@iCloud.com>

Diff between Jcvrisk versions 0.1.1 dated 2025-04-18 and 0.1.2 dated 2025-04-25

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New package cbsREPS with initial version 0.1.0
Package: cbsREPS
Title: Hedonic and Multilateral Index Methods for Real Estate Price Statistics
Version: 0.1.0
Maintainer: Vivek Gajadhar <v.gajadhar@cbs.nl>
Description: Compute price indices using various Hedonic and multilateral methods, including Laspeyres, Paasche, Fisher, and HMTS (Hedonic Multilateral Time series re-estimation with splicing). The central function calculate_price_index() offers a unified interface for running these methods on structured datasets. This package is designed to support index construction workflows for real estate and other domains where quality-adjusted price comparisons over time are essential. The development of this package was funded by Eurostat and Statistics Netherlands (CBS), and carried out by Statistics Netherlands. The HMTS method implemented here is described in Ishaak, Ouwehand and Remøy (2024) <doi:10.1177/0282423X241246617>. For broader methodological context, see Eurostat (2013, ISBN:978-92-79-25984-5, <doi:10.2785/34007>).
License: GPL-2
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.4.0)
Imports: dplyr, stats, assertthat, KFAS, stringr
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-04-25 09:20:19 UTC; VGAR
Author: Farley Ishaak [aut], Pim Ouwehand [aut], David Pietersz [aut], Liu Nuo Su [aut], Cynthia Cao [aut], Mohammed Kardal [aut], Odens van der Zwan [aut], Vivek Gajadhar [aut, cre]
Repository: CRAN
Date/Publication: 2025-04-25 15:10:01 UTC

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New package wizaRdry with initial version 0.2.0
Package: wizaRdry
Title: A Magical Framework for Collaborative & Reproducible Data Analysis
Version: 0.2.0
Description: A comprehensive data analysis framework for NIH-funded research that streamlines workflows for both data cleaning and preparing NIH Data Archive ('NDA') submission templates. Provides unified access to multiple data sources ('REDCap', 'MongoDB', 'Qualtrics') through interfaces to their APIs, with specialized functions for data cleaning, filtering, merging, and parsing. Features automatic validation, field harmonization, and memory-aware processing to enhance reproducibility in multi-site collaborative research as described in Mittal et al. (2021) <doi:10.20900/jpbs.20210011>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: beepr, cli, config, dplyr, future, future.apply, haven, httr, jsonlite, knitr, mongolite, parallel, qualtRics, R6, REDCapR, rlang, stringdist, testthat, rstudioapi, lubridate
Depends: R (>= 4.1.0)
URL: https://github.com/belieflab/wizaRdry
BugReports: https://github.com/belieflab/wizaRdry/issues
Suggests: rmarkdown
NeedsCompilation: no
Packaged: 2025-04-24 23:14:28 UTC; Joshua
Author: Joshua G. Kenney [aut, cre], Trevor F. Williams [aut], Minerva K. Pappu [aut], Michael J. Spilka [aut], Danielle N. Pratt [ctb], Victor J. Pokorny [ctb], Santiago Castiello de Obeso [ctb], Praveen Suthaharan [ctb], Christian R. Horgan [ctb]
Maintainer: Joshua G. Kenney <joshua.kenney@yale.edu>
Repository: CRAN
Date/Publication: 2025-04-25 14:40:02 UTC

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New package miebl with initial version 0.1.0
Package: miebl
Title: Performance Criteria Modeler for Discrete Trial Training
Version: 0.1.0
Description: Provides a tool for computing probabilities and other quantities that are relevant in selecting performance criteria for discrete trial training. The main function, miebl(), computes Bayesian and frequentist probabilities and bounds for each of n possible performance criterion choices when attempting to determine a student's true mastery level by counting their number of successful attempts at displaying learning among n trials. The reporting function miebl_re() takes output from miebl() and prepares it into a brief report for a specific criterion. miebl_cp() combines 2 to 5 distributions of true mastery level given performance criterion in one plot for comparison. Ramos (2025) <doi:10.1007/s40617-025-01058-9>.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2025-04-25 02:51:16 UTC; markr
Author: Mark Ramos [aut, cre, cph]
Imports: graphics, stats
Maintainer: Mark Ramos <mlr6219@psu.edu>
Repository: CRAN
Date/Publication: 2025-04-25 14:50:02 UTC

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Package metasnf updated to version 2.1.1 with previous version 2.0.6 dated 2025-03-25

Title: Meta Clustering with Similarity Network Fusion
Description: Framework to facilitate patient subtyping with similarity network fusion and meta clustering. The similarity network fusion (SNF) algorithm was introduced by Wang et al. (2014) in <doi:10.1038/nmeth.2810>. SNF is a data integration approach that can transform high-dimensional and diverse data types into a single similarity network suitable for clustering with minimal loss of information from each initial data source. The meta clustering approach was introduced by Caruana et al. (2006) in <doi:10.1109/ICDM.2006.103>. Meta clustering involves generating a wide range of cluster solutions by adjusting clustering hyperparameters, then clustering the solutions themselves into a manageable number of qualitatively similar solutions, and finally characterizing representative solutions to find ones that are best for the user's specific context. This package provides a framework to easily transform multi-modal data into a wide range of similarity network fusion-derived cluster solutio [...truncated...]
Author: Prashanth S Velayudhan [aut, cre], Xiaoqiao Xu [aut], Prajkta Kallurkar [aut], Ana Patricia Balbon [aut], Maria T Secara [aut], Adam Taback [aut], Denise Sabac [aut], Nicholas Chan [aut], Shihao Ma [aut], Bo Wang [aut], Daniel Felsky [aut], Stephanie [...truncated...]
Maintainer: Prashanth S Velayudhan <psvelayu@gmail.com>

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Package GitStats updated to version 2.3.1 with previous version 2.3.0 dated 2025-04-03

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>

Diff between GitStats versions 2.3.0 dated 2025-04-03 and 2.3.1 dated 2025-04-25

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Package GeoModels updated to version 2.1.2 with previous version 2.1.1 dated 2025-04-13

Title: Procedures for Gaussian and Non Gaussian Geostatistical (Large) Data Analysis
Description: Functions for Gaussian and Non Gaussian (bivariate) spatial and spatio-temporal data analysis are provided for a) (fast) simulation of random fields, b) inference for random fields using standard likelihood and a likelihood approximation method called weighted composite likelihood based on pairs and b) prediction using (local) best linear unbiased prediction. Weighted composite likelihood can be very efficient for estimating massive datasets. Both regression and spatial (temporal) dependence analysis can be jointly performed. Flexible covariance models for spatial and spatial-temporal data on Euclidean domains and spheres are provided. There are also many useful functions for plotting and performing diagnostic analysis. Different non Gaussian random fields can be considered in the analysis. Among them, random fields with marginal distributions such as Skew-Gaussian, Student-t, Tukey-h, Sin-Arcsin, Two-piece, Weibull, Gamma, Log-Gaussian, Binomial, Negative Binomial and Poisson. Se [...truncated...]
Author: Moreno Bevilacqua [aut, cre, cph], Victor Morales-Onate [ctb], Francisco Cuevas-Pacheco [ctb], Christian Caamano-Carrillo [ctb]
Maintainer: Moreno Bevilacqua <moreno.bevilacqua89@gmail.com>

Diff between GeoModels versions 2.1.1 dated 2025-04-13 and 2.1.2 dated 2025-04-25

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New package connector with initial version 0.1.0
Package: connector
Title: Streamlining Data Access in Clinical Research
Version: 0.1.0
Description: Provides a consistent interface for connecting R to various data sources including file systems and databases. Designed for clinical research, 'connector' streamlines access to 'ADAM', 'SDTM' for example. It helps to deal with multiple data formats through a standardized API and centralized configuration.
License: Apache License (>= 2)
URL: https://github.com/novonordisk-opensource/connector/, https://github.com/NovoNordisk-OpenSource/connector
BugReports: https://github.com/NovoNordisk-OpenSource/connector/issues
Depends: R (>= 4.1)
Imports: arrow, checkmate, cli, DBI, dplyr, fs, glue, haven, jsonlite, purrr, R6 (>= 2.4.0), readr, readxl, rlang, utils, vroom, writexl, yaml, zephyr (>= 0.1.1)
Suggests: dbplyr, ggplot2, knitr, rmarkdown, RPostgres, RSQLite, spelling, testthat (>= 3.0.0), tibble, whirl (>= 0.2.0), withr
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2025-04-25 06:21:24 UTC; cgid
Author: Cervan Girard [aut, cre], Aksel Thomsen [aut], Vladimir Obucina [aut], Novo Nordisk A/S [cph]
Maintainer: Cervan Girard <cgid@novonordisk.com>
Repository: CRAN
Date/Publication: 2025-04-25 15:00:02 UTC

More information about connector at CRAN
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Package ncappc updated to version 1.0.0 with previous version 0.3.0 dated 2018-08-24

Title: NCA Calculations and Population Model Diagnosis
Description: A flexible tool that can perform (i) traditional non-compartmental analysis (NCA) and (ii) Simulation-based posterior predictive checks for population pharmacokinetic (PK) and/or pharmacodynamic (PKPD) models using NCA metrics. The methods are described in Acharya et al. (2016) <doi:10.1016/j.cmpb.2016.01.013>.
Author: Chayan Acharya [aut], Gulbeyaz Y. Turkyilmaz [aut], Siv Jonsson [aut], Mats O. Karlsson [aut], Andrew C. Hooker [aut, cre]
Maintainer: Andrew C. Hooker <andrew.hooker@uu.se>

Diff between ncappc versions 0.3.0 dated 2018-08-24 and 1.0.0 dated 2025-04-25

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Permanent link

Package artma updated to version 0.2.1 with previous version 0.1.19 dated 2025-04-12

Title: Automatic Replication Tools for Meta-Analysis
Description: Provides a unified and straightforward interface for performing a variety of meta-analysis methods directly from user data. Users can input a data frame, specify key parameters, and effortlessly execute and compare multiple common meta-analytic models. Designed for immediate usability, the package facilitates transparent, reproducible research without manual implementation of each analytical method. Ideal for researchers aiming for efficiency and reproducibility, it streamlines workflows from data preparation to results interpretation.
Author: Petr Čala [aut, cre]
Maintainer: Petr Čala <61505008@fsv.cuni.cz>

Diff between artma versions 0.1.19 dated 2025-04-12 and 0.2.1 dated 2025-04-25

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More information about artma at CRAN
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Package WaverideR updated to version 0.4.0 with previous version 0.3.2 dated 2023-09-06

Title: Extracting Signals from Wavelet Spectra
Description: The continuous wavelet transform enables the observation of transient/non-stationary cyclicity in time-series. The goal of cyclostratigraphic studies is to define frequency/period in the depth/time domain. By conducting the continuous wavelet transform on cyclostratigraphic data series one can observe and extract cyclic signals/signatures from signals. These results can then be visualized and interpreted enabling one to identify/interpret cyclicity in the geological record, which can be used to construct astrochronological age-models and identify and interpret cyclicity in past and present climate systems. The 'WaverideR' R package builds upon existing literature and existing codebase. The list of articles which are relevant can be grouped in four subjects; cyclostratigraphic data analysis,example data sets,the (continuous) wavelet transform and astronomical solutions. References for the cyclostratigraphic data analysis articles are: Stephen Meyers (2019) <doi:10.1016/j.earscirev.20 [...truncated...]
Author: Michiel Arts [aut, cre]
Maintainer: Michiel Arts <michiel.arts@stratigraphy.eu>

Diff between WaverideR versions 0.3.2 dated 2023-09-06 and 0.4.0 dated 2025-04-25

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New package tlda with initial version 0.1.0
Package: tlda
Title: Tools for Language Data Analysis
Version: 0.1.0
Description: Support functions and datasets to facilitate the analysis of linguistic data. The current focus is on the calculation of corpus-linguistic dispersion measures as described in Gries (2021) <doi:10.1007/978-3-030-46216-1_5> and Soenning (2025) <doi:10.3366/cor.2025.0326>. The most commonly used parts-based indices are implemented, including different formulas and modifications that are found in the literature, with the additional option to obtain frequency-adjusted scores. Dispersion scores can be computed based on individual count variables or a term-document matrix.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Depends: R (>= 3.5.0)
LazyData: true
URL: https://github.com/lsoenning/tlda
BugReports: https://github.com/lsoenning/tlda/issues
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-04-24 19:55:00 UTC; ba4rh5
Author: Lukas Soenning [aut, cre, cph] , German Research Foundation [fnd]
Maintainer: Lukas Soenning <lukas.soenning@uni-bamberg.de>
Repository: CRAN
Date/Publication: 2025-04-25 12:40:01 UTC

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Package proxyC updated to version 0.5.2 with previous version 0.5.1 dated 2025-04-24

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 0.5.1 dated 2025-04-24 and 0.5.2 dated 2025-04-25

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Package mMARCH.AC updated to version 3.2.0.1 with previous version 3.2.0.0 dated 2025-04-23

Title: Processing of Accelerometry Data with 'GGIR' in mMARCH
Description: Mobile Motor Activity Research Consortium for Health (mMARCH) is a collaborative network of studies of clinical and community samples that employ common clinical, biological, and digital mobile measures across involved studies. One of the main scientific goals of mMARCH sites is developing a better understanding of the inter-relationships between accelerometry-measured physical activity (PA), sleep (SL), and circadian rhythmicity (CR) and mental and physical health in children, adolescents, and adults. Currently, there is no consensus on a standard procedure for a data processing pipeline of raw accelerometry data, and few open-source tools to facilitate their development. The R package 'GGIR' is the most prominent open-source software package that offers great functionality and tremendous user flexibility to process raw accelerometry data. However, even with 'GGIR', processing done in a harmonized and reproducible fashion requires a non-trivial amount of expertise combined with a care [...truncated...]
Author: Wei Guo [aut, cre], Andrew Leroux [aut], Vadim Zipunnikov [aut], Kathleen Merikangas [aut]
Maintainer: Wei Guo <wei.guo3@nih.gov>

Diff between mMARCH.AC versions 3.2.0.0 dated 2025-04-23 and 3.2.0.1 dated 2025-04-25

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New package IssueTrackeR with initial version 1.1.1
Package: IssueTrackeR
Title: List Things to Do
Version: 1.1.1
Description: Manage a 'GitHub' problem using R: wrangle issues, labels and milestones. It includes functions for storing, prioritizing (sorting), displaying, adding, deleting, and selecting (filtering) issues based on qualitative and quantitative information. Issues (labels and milestones) are written in lists and categorized into the S3 class to be easily manipulated as datasets in R.
License: MIT + file LICENSE
URL: https://github.com/TanguyBarthelemy/IssueTrackeR, https://tanguybarthelemy.github.io/IssueTrackeR/
BugReports: https://github.com/TanguyBarthelemy/IssueTrackeR/issues
Depends: R (>= 4.1)
Imports: crayon, gh, tools, yaml
Suggests: cli, rlang, spelling, testthat (>= 3.0.0)
Encoding: UTF-8
Language: en-GB
NeedsCompilation: no
Packaged: 2025-04-24 11:11:04 UTC; UTZK0M
Author: Tanguy Barthelemy [aut, cre]
Maintainer: Tanguy Barthelemy <tanguy.barthelemy@insee.fr>
Repository: CRAN
Date/Publication: 2025-04-25 12:30:14 UTC

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Package frscore updated to version 0.5.1 with previous version 0.5.0 dated 2025-04-24

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>

Diff between frscore versions 0.5.0 dated 2025-04-24 and 0.5.1 dated 2025-04-25

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New package fmds with initial version 0.1.2
Package: fmds
Title: Multidimensional Scaling Development Kit
Version: 0.1.2
Author: Frank M.T.A. Busing [aut, cre] , Juan Claramunt Gonzalez [aut, com]
Maintainer: Frank M.T.A. Busing <busing@fsw.leidenuniv.nl>
Description: Multidimensional scaling (MDS) functions for various tasks that are beyond the beta stage and way past the alpha stage. Currently, options are available for weights, restrictions, classical scaling or principal coordinate analysis, transformations (linear, power, Box-Cox, spline, ordinal), outlier mitigation (rdop), out-of-sample estimation (predict), negative dissimilarities, fast and faster executions with low memory footprints, penalized restrictions, cross-validation-based penalty selection, supplementary variable estimation (explain), additive constant estimation, mixed measurement level distance calculation, restricted classical scaling, etc. More will come in the future. References. Busing (2024) "A Simple Population Size Estimator for Local Minima Applied to Multidimensional Scaling". Manuscript submitted for publication. Busing (2025) "Node Localization by Multidimensional Scaling with Iterative Majorization". Manuscript submitted for publication. Busing (2025) "Faster Multidi [...truncated...]
Depends: R (>= 3.5.0)
Imports: graphics, stats
Suggests: ggplot2, microbenchmark
License: BSD_2_clause + file LICENSE
Encoding: UTF-8
LazyData: true
NeedsCompilation: yes
Packaged: 2025-04-24 10:19:19 UTC; prueba
Repository: CRAN
Date/Publication: 2025-04-25 12:20:02 UTC

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New package fastymd with initial version 0.1.2
Package: fastymd
Title: Fast Utilities for 'Year Month Day' Objects
Version: 0.1.2
Description: A collection of utility functions for working with Year Month Day objects. Includes functions for fast parsing of numeric and character input based on algorithms described in Hinnant, H. (2021) <https://howardhinnant.github.io/date_algorithms.html> as well as a branchless calculation of leap years by Jerichaux (2025) <https://stackoverflow.com/a/79564914>.
License: GPL-3
URL: https://timtaylor.codeberg.page/fastymd/
BugReports: https://codeberg.org/TimTaylor/fastymd/issues
Encoding: UTF-8
Suggests: fasttime, lubridate, microbenchmark, tinytest, ymd, litedown
Depends: R (>= 4.2.0)
VignetteBuilder: litedown
NeedsCompilation: yes
Packaged: 2025-04-24 21:51:32 UTC; tim
Author: Tim Taylor [aut, cre] , Howard Hinnant [aut] , jerichaux [aut]
Maintainer: Tim Taylor <tim.taylor@hiddenelephants.co.uk>
Repository: CRAN
Date/Publication: 2025-04-25 12:50:02 UTC

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New package FastHamming with initial version 1.1
Package: FastHamming
Title: Fast Computation of Pairwise Hamming Distances
Version: 1.1
Depends: R (>= 4.0.0)
Description: Pairwise Hamming distances are computed between the rows of a binary (0/1) matrix using highly optimized C code. The input is an integer matrix where each row represents a binary feature vector and returns a symmetric integer matrix of pairwise distances. Internally, rows are bit-packed into 64-bit words for fast XOR-based comparisons, with hardware-accelerated popcount operations to count differences. OpenMP parallelization ensures efficient performance for large matrices.
License: GPL-3
Encoding: UTF-8
SystemRequirements: C compiler (C99), OpenMP
NeedsCompilation: yes
Packaged: 2025-04-24 14:04:52 UTC; raviv
Author: Ravi Varadhan [aut, cre]
Maintainer: Ravi Varadhan <ravi.varadhan@jhu.edu>
Repository: CRAN
Date/Publication: 2025-04-25 12:30:18 UTC

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Package dlmtree updated to version 1.1.0 with previous version 1.0.0 dated 2024-05-31

Title: Bayesian Treed Distributed Lag Models
Description: Estimation of distributed lag models (DLMs) based on a Bayesian additive regression trees framework. Includes several extensions of DLMs: treed DLMs and distributed lag mixture models (Mork and Wilson, 2023) <doi:10.1111/biom.13568>; treed distributed lag nonlinear models (Mork and Wilson, 2022) <doi:10.1093/biostatistics/kxaa051>; heterogeneous DLMs (Mork, et. al., 2024) <doi:10.1080/01621459.2023.2258595>; monotone DLMs (Mork and Wilson, 2024) <doi:10.1214/23-BA1412>. The package also includes visualization tools and a 'shiny' interface to check model convergence and to help interpret results.
Author: Daniel Mork [aut, cre, cph] , Seongwon Im [aut] , Ander Wilson [aut]
Maintainer: Daniel Mork <dmork@hsph.harvard.edu>

Diff between dlmtree versions 1.0.0 dated 2024-05-31 and 1.1.0 dated 2025-04-25

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More information about dlmtree at CRAN
Permanent link

New package configulaR with initial version 0.1.1
Package: configulaR
Title: Manage Application Settings via '.env' or '.ini' Files
Version: 0.1.1
Description: Provides a simple way to manage application settings by loading configuration values from '.env' or '.ini' files. It supports default values, type casting, and environment variable overrides, enabling a clean separation of configuration from code. Ideal for managing credentials, API keys, and deployment-specific settings.
License: MIT + file LICENSE
URL: https://dataupsurge.github.io/configulaR/, https://github.com/dataupsurge/configulaR
BugReports: https://github.com/dataupsurge/configulaR/issues
Imports: assertthat, here, magrittr, stringr
Suggests: covr (>= 3.6.4), docopt (>= 0.7.1), git2r (>= 0.35.0), lintr (>= 3.1.2), precommit (>= 0.4.3), roxygen2 (>= 7.3.2), styler (>= 1.10.3), testthat (>= 3.0.0), withr (>= 2.1.2)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-04-18 08:50:43 UTC; morgan
Author: Morgan Durand [aut, cre, cph]
Maintainer: Morgan Durand <morgan@dataupsurge.com>
Repository: CRAN
Date/Publication: 2025-04-25 12:10:02 UTC

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Permanent link

New package branchingprocess with initial version 0.1.0
Package: branchingprocess
Title: Calculate Outbreak Probabilities for a Branching Process Model
Version: 0.1.0
Description: Quantify outbreak risk posed by individual importers of a transmissible pathogen. Input parameters of negative binomial offspring distributions for the number of transmissions from each infected individual and initial number of infected. Calculate probabilities of final outbreak size and generations of transmission, as described in Toth et al. (2015) <doi:10.3201/eid2108.150170> and Toth et al. (2016) <doi:10.1016/j.epidem.2016.04.002>.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/EpiForeSITE/branchingprocess, https://epiforesite.github.io/branchingprocess/
BugReports: https://github.com/EpiForeSITE/branchingprocess/issues
Imports: stats
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-04-24 20:50:24 UTC; runner
Author: Damon Toth [aut, cre] , Erin Clancey [ctb] , Centers for Disease Control and Prevention's Center for Forecasting and Outbreak Analytics [fnd]
Maintainer: Damon Toth <damon.toth@hsc.utah.edu>
Repository: CRAN
Date/Publication: 2025-04-25 12:50:05 UTC

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New package arcgis with initial version 0.2.0
Package: arcgis
Title: ArcGIS Location Services Meta-Package
Version: 0.2.0
Description: Provides easy installation and loading of core ArcGIS location services packages 'arcgislayers', 'arcgisutils', 'arcgisgeocode', and 'arcgisplaces'. Enabling developers to interact with spatial data and services from 'ArcGIS Online', 'ArcGIS Enterprise', and 'ArcGIS Platform'. Learn more about the 'arcgis' meta-package at <https://developers.arcgis.com/r-bridge/>.
Language: en
License: Apache License (>= 2)
Encoding: UTF-8
Imports: arcgisgeocode (>= 0.1.0), arcgislayers (>= 0.2.0), arcgisplaces (>= 0.1.0), arcgisutils (>= 0.3.0), cli, httr2 (>= 1.0.0), utils
Suggests: arcpbf, calcite, testthat (>= 3.0.0)
URL: https://github.com/R-ArcGIS/arcgis/, https://developers.arcgis.com/r-bridge/
SystemRequirements: Cargo (Rust's package manager), rustc
NeedsCompilation: no
Packaged: 2025-04-23 20:02:10 UTC; josiahparry
Author: Josiah Parry [aut, cre]
Maintainer: Josiah Parry <josiah.parry@gmail.com>
Repository: CRAN
Date/Publication: 2025-04-25 12:10:05 UTC

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Package readstata13 updated to version 0.11.0 with previous version 0.10.1 dated 2023-02-21

Title: Import 'Stata' Data Files
Description: Function to read and write the 'Stata' file format.
Author: Jan Marvin Garbuszus [aut], Sebastian Jeworutzki [aut, cre] , R Core Team [cph], Magnus Thor Torfason [ctb], Luke M. Olson [ctb], Giovanni Righi [ctb], Kevin Jin [ctb]
Maintainer: Sebastian Jeworutzki <Sebastian.Jeworutzki@ruhr-uni-bochum.de>

Diff between readstata13 versions 0.10.1 dated 2023-02-21 and 0.11.0 dated 2025-04-25

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More information about readstata13 at CRAN
Permanent link

Package rbacon updated to version 3.4.1 with previous version 3.3.1 dated 2024-09-28

Title: Age-Depth Modelling using Bayesian Statistics
Description: An approach to age-depth modelling that uses Bayesian statistics to reconstruct accumulation histories for deposits, through combining radiocarbon and other dates with prior information on accumulation rates and their variability. See Blaauw & Christen (2011).
Author: Maarten Blaauw [aut, cre] , J. Andres Christen [aut, ctb, cph] , Marco A. Aquino Lopez [aut] , Judith Esquivel Vazquez [ctb], Oscar M. Gonzalez V. [ctb], Ted Belding [cph], James Theiler [cph], Brian Gough [cph], Charles Karney [cph]
Maintainer: Maarten Blaauw <maarten.blaauw@qub.ac.uk>

Diff between rbacon versions 3.3.1 dated 2024-09-28 and 3.4.1 dated 2025-04-25

 DESCRIPTION          |   10 +-
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 NAMESPACE            |    9 ++
 NEWS.md              |   16 +++-
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 R/agedepth.R         |   68 ++++++++++++-----
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 R/plots.R            |   29 ++++---
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 man/thinner.Rd       |    7 +
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 src/bacon.h          |   11 ++
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More information about rbacon at CRAN
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Package GGIR updated to version 3.2-6 with previous version 3.2-0 dated 2025-02-20

Title: Raw Accelerometer Data Analysis
Description: A tool to process and analyse data collected with wearable raw acceleration sensors as described in Migueles and colleagues (JMPB 2019), and van Hees and colleagues (JApplPhysiol 2014; PLoSONE 2015). The package has been developed and tested for binary data from 'GENEActiv' <https://activinsights.com/>, binary (.gt3x) and .csv-export data from 'Actigraph' <https://theactigraph.com> devices, and binary (.cwa) and .csv-export data from 'Axivity' <https://axivity.com>. These devices are currently widely used in research on human daily physical activity. Further, the package can handle accelerometer data file from any other sensor brand providing that the data is stored in csv format. Also the package allows for external function embedding.
Author: Vincent T van Hees [aut, cre], Jairo H Migueles [aut] , Severine Sabia [ctb], Matthew R Patterson [ctb], Zhou Fang [ctb], Joe Heywood [ctb], Joan Capdevila Pujol [ctb], Lena Kushleyeva [ctb], Mathilde Chen [ctb], Manasa Yerramalla [ctb], Patrick Bos [...truncated...]
Maintainer: Vincent T van Hees <v.vanhees@accelting.com>

Diff between GGIR versions 3.2-0 dated 2025-02-20 and 3.2-6 dated 2025-04-25

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 NAMESPACE                                       |    4 
 NEWS.md                                         |   93 ++
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More information about GGIR at CRAN
Permanent link

Package BioMark (with last version 0.4.5) was removed from CRAN

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

2015-09-07 0.4.5
2014-08-06 0.4.2
2012-11-06 0.4.1
2012-07-10 0.4.0
2011-11-29 0.3.3
2011-10-20 0.3.2
2011-09-19 0.3.1
2011-07-06 0.3.0
2011-02-08 0.2.6

Permanent link
Package ukbtools (with last version 0.11.3) was removed from CRAN

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

2019-05-15 0.11.3
2019-04-25 0.11.2
2019-03-14 0.11.1
2018-05-23 0.11.0
2018-02-05 0.10.1
2017-11-27 0.10.0
2017-06-30 0.9.0

Permanent link
Package trtswitch updated to version 0.1.6 with previous version 0.1.5 dated 2025-04-23

Title: Treatment Switching
Description: Implements rank-preserving structural failure time model (RPSFTM), iterative parameter estimation (IPE), inverse probability of censoring weights (IPCW), and two-stage estimation (TSE) methods for treatment switching in randomized clinical trials.
Author: Kaifeng Lu [aut, cre]
Maintainer: Kaifeng Lu <kaifenglu@gmail.com>

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Package jstable updated to version 1.3.12 with previous version 1.3.11 dated 2025-04-04

Title: Create Tables from Different Types of Regression
Description: Create regression tables from generalized linear model(GLM), generalized estimating equation(GEE), generalized linear mixed-effects model(GLMM), Cox proportional hazards model, survey-weighted generalized linear model(svyglm) and survey-weighted Cox model results for publication.
Author: Jinseob Kim [aut, cre] , Zarathu [cph, fnd], Yoonkyoung Jeon [aut], Jaehun Shon [aut], Hyojong Myung [aut], Hyungwoo Jo [aut], Sungho Choi [aut]
Maintainer: Jinseob Kim <jinseob2kim@gmail.com>

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Package IRISSeismic updated to version 1.7.0 with previous version 1.6.7 dated 2024-12-10

Title: Classes and Methods for Seismic Data Analysis
Description: Provides classes and methods for seismic data analysis. The base classes and methods are inspired by the python code found in the 'ObsPy' python toolbox <https://github.com/obspy/obspy>. Additional classes and methods support data returned by web services provided by the 'IRIS DMC' <http://service.iris.edu/>.
Author: Jonathan Callahan [aut], Rob Casey [aut], Gillian Sharer [aut, cre], Mary Templeton [aut], Chad Trabant [ctb]
Maintainer: Gillian Sharer <gillian.sharer@earthscope.org>

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Package crossmap updated to version 0.4.2 with previous version 0.4.1 dated 2025-04-21

Title: Apply Functions to All Combinations of List Elements
Description: Provides an extension to the 'purrr' family of mapping functions to apply a function to each combination of elements in a list of inputs. Also includes functions for automatically detecting output type in mapping functions, finding every combination of elements of lists or rows of data frames, and applying multiple models to multiple subsets of a dataset.
Author: Alexander Rossell Hayes [aut, cre, cph]
Maintainer: Alexander Rossell Hayes <alexander@rossellhayes.com>

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Package ao updated to version 1.2.0 with previous version 1.1.0 dated 2024-07-13

Title: Alternating Optimization
Description: An iterative process that optimizes a function by alternately performing restricted optimization over parameter subsets. Instead of joint optimization, it breaks the optimization problem down into simpler sub-problems. This approach can make optimization feasible when joint optimization is too difficult.
Author: Lennart Oelschlaeger [aut, cre] , Siddhartha Chib [ctb]
Maintainer: Lennart Oelschlaeger <oelschlaeger.lennart@gmail.com>

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Package openxlsx2 updated to version 1.15 with previous version 1.14 dated 2025-03-20

Title: Read, Write and Edit 'xlsx' Files
Description: Simplifies the creation of 'xlsx' files by providing a high level interface to writing, styling and editing worksheets.
Author: Jordan Mark Barbone [aut] , Jan Marvin Garbuszus [aut, cre], Olivier Roy [ctb], openxlsx authors [cph] , Arseny Kapoulkine [ctb, cph]
Maintainer: Jan Marvin Garbuszus <jan.garbuszus@ruhr-uni-bochum.de>

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Package jsmodule updated to version 1.6.8 with previous version 1.6.4 dated 2025-03-10

Title: 'RStudio' Addins and 'Shiny' Modules for Medical Research
Description: 'RStudio' addins and 'Shiny' modules for descriptive statistics, regression and survival analysis.
Author: Jinseob Kim [aut, cre] , Zarathu [cph, fnd], Hyunki Lee [aut], Changwoo Lim [aut], Jinhwan Kim [aut] , Yoonkyoung Jeon [aut], Jaewoong Heo [aut], Youngsun Park [aut] , Hyungwoo Jo [aut], Jeongmin Seo [aut], Hojun LEE [aut], Sungho Choi [aut], Yeji Ka [...truncated...]
Maintainer: Jinseob Kim <jinseob2kim@gmail.com>

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Package ForIT updated to version 2.5.0 with previous version 2.4.0 dated 2023-09-26

Title: Functions to Estimate Tree Volume and Phytomass in the Italian Forest Inventory 2005
Description: Tabacchi et al. (2011) published a very detailed study producing a uniform system of functions to estimate tree volume and phytomass components (stem, branches, stool). The estimates of the 2005 Italian forest inventory (<https://www.inventarioforestale.org/it/>) are based on these functions. The study documents the domain of applicability of each function and the equations to quantify estimates accuracies for individual estimates as well as for aggregated estimates. This package makes the functions available in the R environment. Version 2 exposes two distinct functions for individual and summary estimates. To facilitate access to the functions, tree species identification is now based on EPPO species codes (<https://data.eppo.int/>).
Author: Nicola Puletti [aut, cre] , Mirko Grotti [aut], Roberto Scotti [aut]
Maintainer: Nicola Puletti <nicola.puletti@gmail.com>

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Package fastcpd updated to version 0.16.2 with previous version 0.16.1 dated 2025-03-20

Title: Fast Change Point Detection via Sequential Gradient Descent
Description: Implements fast change point detection algorithm based on the paper "Sequential Gradient Descent and Quasi-Newton's Method for Change-Point Analysis" by Xianyang Zhang, Trisha Dawn <https://proceedings.mlr.press/v206/zhang23b.html>. The algorithm is based on dynamic programming with pruning and sequential gradient descent. It is able to detect change points a magnitude faster than the vanilla Pruned Exact Linear Time(PELT). The package includes examples of linear regression, logistic regression, Poisson regression, penalized linear regression data, and whole lot more examples with custom cost function in case the user wants to use their own cost function.
Author: Xingchi Li [aut, cre, cph] , Xianyang Zhang [aut, cph]
Maintainer: Xingchi Li <anthony.li.stat.tamu.edu@lixingchi.com>

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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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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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More information about dendrometry at CRAN
Permanent link

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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More information about MonotonicityTest at CRAN
Permanent link

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>

Diff between tiledb versions 0.30.2 dated 2024-10-04 and 0.31.1 dated 2025-04-24

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 tiledb-0.31.1/tiledb/tools/fetchTileDBSrc.R                                |    4 
 tiledb-0.31.1/tiledb/tools/tiledbVersion.txt                               |    4 
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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

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 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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 27 files changed, 334 insertions(+), 177 deletions(-)

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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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 8 files changed, 34 insertions(+), 19 deletions(-)

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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>

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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>

Diff between vecmatch versions 1.0.3 dated 2025-03-28 and 1.1.0 dated 2025-04-24

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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>

Diff between GeneNMF versions 0.6.2 dated 2024-11-12 and 0.8.0 dated 2025-04-24

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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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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>

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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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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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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
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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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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
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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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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

More information about mverse at CRAN
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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>

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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>

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Wed, 23 Apr 2025

Package chromote updated to version 0.5.1 with previous version 0.5.0 dated 2025-03-21

Title: Headless Chrome Web Browser Interface
Description: An implementation of the 'Chrome DevTools Protocol', for controlling a headless Chrome web browser.
Author: Garrick Aden-Buie [aut, cre] , Winston Chang [aut], Barret Schloerke [aut] , Posit Software, PBC [cph, fnd]
Maintainer: Garrick Aden-Buie <garrick@posit.co>

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Package trtswitch updated to version 0.1.5 with previous version 0.1.4 dated 2025-03-20

Title: Treatment Switching
Description: Implements rank-preserving structural failure time model (RPSFTM), iterative parameter estimation (IPE), inverse probability of censoring weights (IPCW), and two-stage estimation (TSE) methods for treatment switching in randomized clinical trials.
Author: Kaifeng Lu [aut, cre]
Maintainer: Kaifeng Lu <kaifenglu@gmail.com>

Diff between trtswitch versions 0.1.4 dated 2025-03-20 and 0.1.5 dated 2025-04-23

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Package harbinger updated to version 1.1.717 with previous version 1.1.707 dated 2024-12-03

Title: A Unified Time Series Event Detection Framework
Description: By analyzing time series, it is possible to observe significant changes in the behavior of observations that frequently characterize events. Events present themselves as anomalies, change points, or motifs. In the literature, there are several methods for detecting events. However, searching for a suitable time series method is a complex task, especially considering that the nature of events is often unknown. This work presents Harbinger, a framework for integrating and analyzing event detection methods. Harbinger contains several state-of-the-art methods described in Salles et al. (2020) <doi:10.5753/sbbd.2020.13626>.
Author: Eduardo Ogasawara [aut, ths, cre] , Antonio Castro [aut], Antonio Mello [aut], Ellen Paixao [aut], Fernando Fraga [aut], Heraldo Borges [aut], Janio Lima [aut], Jessica Souza [aut], Lais Baroni [aut], Lucas Tavares [aut], Rebecca Salles [aut], Diego [...truncated...]
Maintainer: Eduardo Ogasawara <eogasawara@ieee.org>

Diff between harbinger versions 1.1.707 dated 2024-12-03 and 1.1.717 dated 2025-04-23

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Package Seurat updated to version 5.3.0 with previous version 5.2.1 dated 2025-01-24

Title: Tools for Single Cell Genomics
Description: A toolkit for quality control, analysis, and exploration of single cell RNA sequencing data. 'Seurat' aims to enable users to identify and interpret sources of heterogeneity from single cell transcriptomic measurements, and to integrate diverse types of single cell data. See Satija R, Farrell J, Gennert D, et al (2015) <doi:10.1038/nbt.3192>, Macosko E, Basu A, Satija R, et al (2015) <doi:10.1016/j.cell.2015.05.002>, Stuart T, Butler A, et al (2019) <doi:10.1016/j.cell.2019.05.031>, and Hao, Hao, et al (2020) <doi:10.1101/2020.10.12.335331> for more details.
Author: Andrew Butler [ctb] , Saket Choudhary [ctb] , David Collins [ctb] , Charlotte Darby [ctb] , Jeff Farrell [ctb], Isabella Grabski [ctb] , Christoph Hafemeister [ctb] , Yuhan Hao [ctb] , Austin Hartman [ctb] , Paul Hoffman [ctb] , Jaison Jain [ctb] , L [...truncated...]
Maintainer: Rahul Satija <seurat@nygenome.org>

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Package cgam updated to version 1.25 with previous version 1.24 dated 2025-04-11

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

Diff between cgam versions 1.24 dated 2025-04-11 and 1.25 dated 2025-04-23

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Package webshot2 updated to version 0.1.2 with previous version 0.1.1 dated 2023-08-11

Title: Take Screenshots of Web Pages
Description: Takes screenshots of web pages, including Shiny applications and R Markdown documents. 'webshot2' uses headless Chrome or Chromium as the browser back-end.
Author: Winston Chang [aut, cre], Barret Schloerke [ctb] , Posit Software, PBC [cph, fnd]
Maintainer: Winston Chang <winston@posit.co>

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Package gtexr updated to version 0.2.0 with previous version 0.1.0 dated 2024-09-19

Title: Query the GTEx Portal API
Description: A convenient R interface to the Genotype-Tissue Expression (GTEx) Portal API. The GTEx project is a comprehensive public resource for studying tissue-specific gene expression and regulation in human tissues. Through systematic analysis of RNA sequencing data from 54 non-diseased tissue sites across nearly 1000 individuals, GTEx provides crucial insights into the relationship between genetic variation and gene expression. This data is accessible through the GTEx Portal API enabling programmatic access to human gene expression data. For more information on the API, see <https://gtexportal.org/api/v2/redoc>.
Author: Alasdair Warwick [aut, cre, cph] , Benjamin Zuckerman [aut] , Abraham Olvera-Barrios [aut] , Chuin Ying Ung [aut] , Robert Luben [aut] , Zhian N. Kamvar [rev]
Maintainer: Alasdair Warwick <alasdair.warwick.19@ucl.ac.uk>

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 gtexr-0.2.0/gtexr/DESCRIPTION                                                                          |   36 
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 gtexr-0.2.0/gtexr/NAMESPACE                                                                            |    2 
 gtexr-0.2.0/gtexr/NEWS.md                                                                              |   39 +
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 gtexr-0.2.0/gtexr/R/download.R                                                                         |   15 
 gtexr-0.2.0/gtexr/R/get_annotation.R                                                                   |   17 
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 gtexr-0.2.0/gtexr/R/get_collapsed_gene_model_exon.R                                                    |    8 
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 gtexr-0.2.0/gtexr/R/get_eqtl_genes.R                                                                   |    8 
 gtexr-0.2.0/gtexr/R/get_exons.R                                                                        |   10 
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 gtexr-0.2.0/gtexr/R/get_file_list.R                                                                    |   27 
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 gtexr-0.2.0/gtexr/R/get_gene_search.R                                                                  |    6 
 gtexr-0.2.0/gtexr/R/get_genes.R                                                                        |    6 
 gtexr-0.2.0/gtexr/R/get_genomic_features.R                                                             |   15 
 gtexr-0.2.0/gtexr/R/get_gwas_catalog_by_location.R                                                     |    6 
 gtexr-0.2.0/gtexr/R/get_image.R                                                                        |   14 
 gtexr-0.2.0/gtexr/R/get_independent_eqtl.R                                                             |   36 
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 gtexr-0.2.0/gtexr/R/get_linkage_disequilibrium_data.R                                                  |   10 
 gtexr-0.2.0/gtexr/R/get_maintenance_message.R                                                          |    6 
 gtexr-0.2.0/gtexr/R/get_median_exon_expression.R                                                       |   12 
 gtexr-0.2.0/gtexr/R/get_median_gene_expression.R                                                       |    6 
 gtexr-0.2.0/gtexr/R/get_median_junction_expression.R                                                   |    6 
 gtexr-0.2.0/gtexr/R/get_median_transcript_expression.R                                                 |    6 
 gtexr-0.2.0/gtexr/R/get_multi_tissue_eqtls.R                                                           |   30 
 gtexr-0.2.0/gtexr/R/get_neighbor_gene.R                                                                |    8 
 gtexr-0.2.0/gtexr/R/get_news_item.R                                                                    |    6 
 gtexr-0.2.0/gtexr/R/get_sample_biobank_data.R                                                          |   34 
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 gtexr-0.2.0/gtexr/R/get_service_info.R                                                                 |   12 
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 gtexr-0.2.0/gtexr/R/get_significant_single_tissue_sqtls.R                                              |   16 
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 gtexr-0.2.0/gtexr/R/get_single_nucleus_gex_summary.R                                                   |   12 
 gtexr-0.2.0/gtexr/R/get_sqtl_genes.R                                                                   |    8 
 gtexr-0.2.0/gtexr/R/get_subject.R                                                                      |   12 
 gtexr-0.2.0/gtexr/R/get_tissue_site_detail.R                                                           |   31 
 gtexr-0.2.0/gtexr/R/get_top_expressed_genes.R                                                          |    6 
 gtexr-0.2.0/gtexr/R/get_transcripts.R                                                                  |    6 
 gtexr-0.2.0/gtexr/R/get_variant.R                                                                      |   17 
 gtexr-0.2.0/gtexr/R/get_variant_by_location.R                                                          |   15 
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 gtexr-0.2.0/gtexr/R/handle_http_errors.R                                                               |   14 
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 gtexr-0.2.0/gtexr/man/calculate_isqtls.Rd                                                              |   18 
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 gtexr-0.2.0/gtexr/man/download.Rd                                                                      |   12 
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 gtexr-0.2.0/gtexr/man/get_gwas_catalog_by_location.Rd                                                  |   15 
 gtexr-0.2.0/gtexr/man/get_image.Rd                                                                     |   19 
 gtexr-0.2.0/gtexr/man/get_independent_eqtl.Rd                                                          |   35 
 gtexr-0.2.0/gtexr/man/get_linkage_disequilibrium_by_variant_data.Rd                                    |   17 
 gtexr-0.2.0/gtexr/man/get_linkage_disequilibrium_data.Rd                                               |   17 
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 gtexr-0.2.0/gtexr/man/get_median_junction_expression.Rd                                                |   15 
 gtexr-0.2.0/gtexr/man/get_median_transcript_expression.Rd                                              |   15 
 gtexr-0.2.0/gtexr/man/get_multi_tissue_eqtls.Rd                                                        |   30 
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 gtexr-0.2.0/gtexr/tests/testthat/handle_http_errors/gtexportal.org/api/v2/association/dyneqtl-a0d4e4.R |   30 
 gtexr-0.2.0/gtexr/tests/testthat/handle_http_errors/gtexportal.org/api/v2/reference/gene-87a990.R      |   30 
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 gtexr-0.2.0/gtexr/tests/testthat/test-calculate_ieqtls.R                                               |   70 +
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 gtexr-0.2.0/gtexr/tests/testthat/test-get_annotation.R                                                 |   53 +
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 gtexr-0.2.0/gtexr/tests/testthat/test-get_clustered_median_gene_expression.R                           |   38 -
 gtexr-0.2.0/gtexr/tests/testthat/test-get_clustered_median_junction_expression.R                       |    3 
 gtexr-0.2.0/gtexr/tests/testthat/test-get_clustered_median_transcript_expression.R                     |    3 
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 gtexr-0.2.0/gtexr/tests/testthat/test-get_dataset_info.R                                               |   16 
 gtexr-0.2.0/gtexr/tests/testthat/test-get_downloads_page_data.R                                        |   36 
 gtexr-0.2.0/gtexr/tests/testthat/test-get_exons.R                                                      |    2 
 gtexr-0.2.0/gtexr/tests/testthat/test-get_expression_pca.R                                             |   35 
 gtexr-0.2.0/gtexr/tests/testthat/test-get_file_list.R                                                  |   61 +
 gtexr-0.2.0/gtexr/tests/testthat/test-get_functional_annotation.R                                      |   73 +-
 gtexr-0.2.0/gtexr/tests/testthat/test-get_gene_expression.R                                            |   37 -
 gtexr-0.2.0/gtexr/tests/testthat/test-get_genomic_features.R                                           |  144 +--
 gtexr-0.2.0/gtexr/tests/testthat/test-get_gwas_catalog_by_location.R                                   |   53 -
 gtexr-0.2.0/gtexr/tests/testthat/test-get_image.R                                                      |   22 
 gtexr-0.2.0/gtexr/tests/testthat/test-get_independent_eqtl.R                                           |   49 -
 gtexr-0.2.0/gtexr/tests/testthat/test-get_linkage_disequilibrium_data.R                                |   15 
 gtexr-0.2.0/gtexr/tests/testthat/test-get_maintenance_message.R                                        |    6 
 gtexr-0.2.0/gtexr/tests/testthat/test-get_median_exon_expression.R                                     |   37 -
 gtexr-0.2.0/gtexr/tests/testthat/test-get_median_gene_expression.R                                     |   37 -
 gtexr-0.2.0/gtexr/tests/testthat/test-get_median_junction_expression.R                                 |   39 -
 gtexr-0.2.0/gtexr/tests/testthat/test-get_median_transcript_expression.R                               |   39 -
 gtexr-0.2.0/gtexr/tests/testthat/test-get_multi_tissue_eqtls.R                                         |   17 
 gtexr-0.2.0/gtexr/tests/testthat/test-get_neighbor_gene.R                                              |   61 -
 gtexr-0.2.0/gtexr/tests/testthat/test-get_news_item.R                                                  |    6 
 gtexr-0.2.0/gtexr/tests/testthat/test-get_sample_biobank_data.R                                        |  188 ++---
 gtexr-0.2.0/gtexr/tests/testthat/test-get_sample_datasets.R                                            |only
 gtexr-0.2.0/gtexr/tests/testthat/test-get_significant_single_tissue_eqtls.R                            |   51 -
 gtexr-0.2.0/gtexr/tests/testthat/test-get_significant_single_tissue_ieqtls.R                           |   73 --
 gtexr-0.2.0/gtexr/tests/testthat/test-get_significant_single_tissue_isqtls.R                           |   75 +-
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 gtexr-0.2.0/gtexr/tests/testthat/test-get_single_nucleus_gex.R                                         |  171 +++-
 gtexr-0.2.0/gtexr/tests/testthat/test-get_single_nucleus_gex_summary.R                                 |   33 
 gtexr-0.2.0/gtexr/tests/testthat/test-get_subject.R                                                    |    6 
 gtexr-0.2.0/gtexr/tests/testthat/test-get_tissue_site_detail.R                                         |   59 -
 gtexr-0.2.0/gtexr/tests/testthat/test-get_top_expressed_genes.R                                        |   37 -
 gtexr-0.2.0/gtexr/tests/testthat/test-get_transcripts.R                                                |   43 -
 gtexr-0.2.0/gtexr/tests/testthat/test-get_variant_by_location.R                                        |   47 -
 gtexr-0.2.0/gtexr/tests/testthat/test-gtex_query.R                                                     |   81 ++
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 gtexr-0.2.0/gtexr/tests/testthat/test-handle_http_errors.R                                             |    7 
 gtexr-0.2.0/gtexr/tests/testthat/test-utils.R                                                          |   34 
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 189 files changed, 3811 insertions(+), 2187 deletions(-)

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