Fri, 07 Mar 2025

Package Qval updated to version 1.2.0 with previous version 1.1.1 dated 2025-01-09

Title: The Q-Matrix Validation Methods Framework
Description: Provide a variety of Q-matrix validation methods for the generalized cognitive diagnosis models, including the method based on the generalized deterministic input, noisy, and gate model (G-DINA) by de la Torre (2011) <DOI:10.1007/s11336-011-9207-7> discrimination index (the GDI method) by de la Torre and Chiu (2016) <DOI:10.1007/s11336-015-9467-8>, the step-wise Wald test method (the Wald method) by Ma and de la Torre (2020) <DOI:10.1111/bmsp.12156>, the Hull method by Najera et al. (2021) <DOI:10.1111/bmsp.12228>, the multiple logistic regression‑based Q‑matrix validation method (the MLR-B method) by Tu et al. (2022) <DOI:10.3758/s13428-022-01880-x>, the beta method based on signal detection theory by Li and Chen (2024) <DOI:10.1111/bmsp.12371> and Q-matrix validation based on relative fit index by Chen et la. (2013) <DOI:10.1111/j.1745-3984.2012.00185.x>. Different research methods and iterative procedures during Q-matrix validating are avai [...truncated...]
Author: Haijiang Qin [aut, cre, cph] , Lei Guo [aut, cph]
Maintainer: Haijiang Qin <haijiang133@outlook.com>

Diff between Qval versions 1.1.1 dated 2025-01-09 and 1.2.0 dated 2025-03-07

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Package msdrought updated to version 0.1.1 with previous version 0.1.0 dated 2024-05-27

Title: Seasonal Mid-Summer Drought Characteristics
Description: Characterization of a mid-summer drought (MSD) with precipitation based statistics. The MSD is a phenomenon of decreased rainfall during a typical rainy season. It is a feature of rainfall in much of Central America and is also found in other locations, typically those with a Mediterranean climate. Details on the metrics are in Maurer et al. (2022) <doi:10.5194/hess-26-1425-2022>.
Author: Turner Uyeda [aut], Ed Maurer [aut, cre, cph], Iris Stewart-Frey [aut], Kenneth Joseph [aut], Alex Avila [aut]
Maintainer: Ed Maurer <emaurer@scu.edu>

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Package mrbin updated to version 1.9.0 with previous version 1.8.0 dated 2024-12-04

Title: Metabolomics Data Analysis Functions
Description: A collection of functions for processing and analyzing metabolite data. The namesake function mrbin() converts 1D or 2D Nuclear Magnetic Resonance data into a matrix of values suitable for further data analysis and performs basic processing steps in a reproducible way. Negative values, a common issue in such data, can be replaced by positive values (<doi:10.1021/acs.jproteome.0c00684>). All used parameters are stored in a readable text file and can be restored from that file to enable exact reproduction of the data at a later time. The function fia() ranks features according to their impact on classifier models, especially artificial neural network models.
Author: Matthias Klein [aut, cre]
Maintainer: Matthias Klein <matthias.s.klein@gmx.net>

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Package units updated to version 0.8-6 with previous version 0.8-5 dated 2023-11-28

Title: Measurement Units for R Vectors
Description: Support for measurement units in R vectors, matrices and arrays: automatic propagation, conversion, derivation and simplification of units; raising errors in case of unit incompatibility. Compatible with the POSIXct, Date and difftime classes. Uses the UNIDATA udunits library and unit database for unit compatibility checking and conversion. Documentation about 'units' is provided in the paper by Pebesma, Mailund & Hiebert (2016, <doi:10.32614/RJ-2016-061>), included in this package as a vignette; see 'citation("units")' for details.
Author: Edzer Pebesma [aut, cre] , Thomas Mailund [aut], Tomasz Kalinowski [aut], James Hiebert [ctb], Inaki Ucar [aut] , Thomas Lin Pedersen [ctb]
Maintainer: Edzer Pebesma <edzer.pebesma@uni-muenster.de>

Diff between units versions 0.8-5 dated 2023-11-28 and 0.8-6 dated 2025-03-07

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Package tidyllm updated to version 0.3.2 with previous version 0.3.1 dated 2025-02-24

Title: Tidy Integration of Large Language Models
Description: A tidy interface for integrating large language model (LLM) APIs such as 'Claude', 'Openai', 'Groq','Mistral' and local models via 'Ollama' into R workflows. The package supports text and media-based interactions, interactive message history, batch request APIs, and a tidy, pipeline-oriented interface for streamlined integration into data workflows. Web services are available at <https://www.anthropic.com>, <https://openai.com>, <https://groq.com>, <https://mistral.ai/> and <https://ollama.com>.
Author: Eduard Bruell [aut, cre], Jia Zhang [ctb]
Maintainer: Eduard Bruell <eduard.bruell@zew.de>

Diff between tidyllm versions 0.3.1 dated 2025-02-24 and 0.3.2 dated 2025-03-07

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Package edgar updated to version 2.0.8 with previous version 2.0.7 dated 2023-10-14

Title: Tool for the U.S. SEC EDGAR Retrieval and Parsing of Corporate Filings
Description: In the USA, companies file different forms with the U.S. Securities and Exchange Commission (SEC) through EDGAR (Electronic Data Gathering, Analysis, and Retrieval system). The EDGAR database automated system collects all the different necessary filings and makes it publicly available. This package facilitates retrieving, storing, searching, and parsing of all the available filings on the EDGAR server. It downloads filings from SEC server in bulk with a single query. Additionally, it provides various useful functions: extracts 8-K triggering events, extract "Business (Item 1)" and "Management's Discussion and Analysis(Item 7)" sections of annual statements, searches filings for desired keywords, provides sentiment measures, parses filing header information, and provides HTML view of SEC filings.
Author: Gunratan Lonare [aut, cre], Bharat Patil [aut]
Maintainer: Gunratan Lonare <lonare.gunratan@gmail.com>

Diff between edgar versions 2.0.7 dated 2023-10-14 and 2.0.8 dated 2025-03-07

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More information about edgar at CRAN
Permanent link

Package BayesfMRI updated to version 0.10.1 with previous version 0.3.11 dated 2023-12-18

Title: Spatial Bayesian Methods for Task Functional MRI Studies
Description: Performs a spatial Bayesian general linear model (GLM) for task functional magnetic resonance imaging (fMRI) data on the cortical surface. Additional models include group analysis and inference to detect thresholded areas of activation. Includes direct support for the 'CIFTI' neuroimaging file format. For more information see A. F. Mejia, Y. R. Yue, D. Bolin, F. Lindgren, M. A. Lindquist (2020) <doi:10.1080/01621459.2019.1611582> and D. Spencer, Y. R. Yue, D. Bolin, S. Ryan, A. F. Mejia (2022) <doi:10.1016/j.neuroimage.2022.118908>.
Author: Amanda Mejia [aut, cre], Damon Pham [ctb] , David Bolin [ctb], Yu Yue [ctb], Daniel Spencer [aut] , Sarah Ryan [ctb]
Maintainer: Amanda Mejia <mandy.mejia@gmail.com>

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

Title: Access Data from the Norwegian Parliament API
Description: Functions for retrieving general and specific data from the Norwegian Parliament, through the Norwegian Parliament API at <https://data.stortinget.no>.
Author: Martin Soeyland [aut, cre]
Maintainer: Martin Soeyland <martin.soyland@stv.uio.no>

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Permanent link

Package tidyplots updated to version 0.2.2 with previous version 0.2.1 dated 2025-01-19

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

Diff between tidyplots versions 0.2.1 dated 2025-01-19 and 0.2.2 dated 2025-03-07

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 tidyplots-0.2.2/tidyplots/DESCRIPTION                                                                    |    8 
 tidyplots-0.2.2/tidyplots/MD5                                                                            |  247 ++--
 tidyplots-0.2.2/tidyplots/NAMESPACE                                                                      |    1 
 tidyplots-0.2.2/tidyplots/NEWS.md                                                                        |   16 
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 tidyplots-0.2.2/tidyplots/R/add-heatmap.R                                                                |   37 
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 tidyplots-0.2.2/tidyplots/R/add-points.R                                                                 |   34 
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Package pEPA updated to version 1.2 with previous version 1.0 dated 2024-07-09

Title: Tests of Equal Predictive Accuracy for Panels of Forecasts
Description: Allows to perform the tests of equal predictive accuracy for panels of forecasts. Main references: Qu et al. (2024) <doi:10.1016/j.ijforecast.2023.08.001> and Akgun et al. (2024) <doi:10.1016/j.ijforecast.2023.02.001>.
Author: Krzysztof Drachal [aut, cre]
Maintainer: Krzysztof Drachal <kdrachal@wne.uw.edu.pl>

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Package ieegio updated to version 0.0.4 with previous version 0.0.3 dated 2025-01-13

Title: File IO for Intracranial Electroencephalography
Description: Integrated toolbox supporting common file formats used for intracranial Electroencephalography (iEEG) and deep-brain stimulation (DBS) study.
Author: Zhengjia Wang [aut, cre]
Maintainer: Zhengjia Wang <dipterix.wang@gmail.com>

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Package gimap updated to version 1.0.3 with previous version 1.0.2 dated 2025-02-18

Title: Calculate Genetic Interactions for Paired CRISPR Targets
Description: Helps find meaningful patterns in complex genetic experiments. First gimap takes data from paired CRISPR (Clustered regularly interspaced short palindromic repeats) screens that has been pre-processed to counts table of paired gRNA (guide Ribonucleic Acid) reads. The input data will have cell counts for how well cells grow (or don't grow) when different genes or pairs of genes are disabled. The output of the 'gimap' package is genetic interaction scores which are the distance between the observed CRISPR score and the expected CRISPR score. The expected CRISPR scores are what we expect for the CRISPR values to be for two unrelated genes. The further away an observed CRISPR score is from its expected score the more we suspect genetic interaction. The work in this package is based off of original research from the Alice Berger lab at Fred Hutchinson Cancer Center (2021) <doi:10.1016/j.celrep.2021.109597>.
Author: Candace Savonen [aut, cre], Phoebe Parrish [aut], Kate Isaac [aut], Howard Baek [aut], Daniel Grosso [aut], Siobhan O'Brien [aut], Alice Berger [aut]
Maintainer: Candace Savonen <cansav09@gmail.com>

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Package qs2 updated to version 0.1.5 with previous version 0.1.4 dated 2024-12-12

Title: Efficient Serialization of R Objects
Description: Streamlines and accelerates the process of saving and loading R objects, improving speed and compression compared to other methods. The package provides two compression formats: the 'qs2' format, which uses R serialization via the C API while optimizing compression and disk I/O, and the 'qdata' format, featuring custom serialization for slightly faster performance and better compression. Additionally, the 'qs2' format can be directly converted to the standard 'RDS' format, ensuring long-term compatibility with future versions of R.
Author: Travers Ching [aut, cre, cph], Yann Collet [ctb, cph] , Facebook, Inc. [cph] , Reichardt Tino [ctb, cph] , Skibinski Przemyslaw [ctb, cph] , Mori Yuta [ctb, cph] , Francesc Alted [ctb, cph]
Maintainer: Travers Ching <traversc@gmail.com>

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Package pals updated to version 1.10 with previous version 1.9 dated 2024-07-16

Title: Color Palettes, Colormaps, and Tools to Evaluate Them
Description: A comprehensive collection of color palettes, colormaps, and tools to evaluate them. See Kovesi (2015) <doi:10.48550/arXiv.1509.03700>.
Author: Kevin Wright [aut, cre, cph]
Maintainer: Kevin Wright <kw.stat@gmail.com>

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Package MSCquartets updated to version 3.1 with previous version 3.0 dated 2024-10-30

Title: Analyzing Gene Tree Quartets under the Multi-Species Coalescent
Description: Methods for analyzing and using quartets displayed on a collection of gene trees, primarily to make inferences about the species tree or network under the multi-species coalescent model. These include quartet hypothesis tests for the model, as developed by Mitchell et al. (2019) <doi:10.1214/19-EJS1576>, simplex plots of quartet concordance factors as presented by Allman et al. (2020) <doi:10.1101/2020.02.13.948083>, species tree inference methods based on quartet distances of Rhodes (2019) <doi:10.1109/TCBB.2019.2917204> and Yourdkhani and Rhodes (2019) <doi:10.1007/s11538-020-00773-4>, the NANUQ algorithm for inference of level-1 species networks of Allman et al. (2019) <doi:10.1186/s13015-019-0159-2>, the TINNIK algorithm for inference of the tree of blobs of an arbitrary network of Allman et al.(2022) <doi:10.1007/s00285-022-01838-9>, and NANUQ+ routines for resolving multifurcations in the tree of blobs to cycles as in Allman et al.(2024) (forth [...truncated...]
Author: Elizabeth Allman [aut], Hector Banos [aut], Jonathan Mitchell [aut], Kristina Wicke [aut], John Rhodes [aut, cre]
Maintainer: John Rhodes <j.rhodes@alaska.edu>

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Package mlr3pipelines updated to version 0.7.2 with previous version 0.7.1 dated 2024-11-14

Title: Preprocessing Operators and Pipelines for 'mlr3'
Description: Dataflow programming toolkit that enriches 'mlr3' with a diverse set of pipelining operators ('PipeOps') that can be composed into graphs. Operations exist for data preprocessing, model fitting, and ensemble learning. Graphs can themselves be treated as 'mlr3' 'Learners' and can therefore be resampled, benchmarked, and tuned.
Author: Martin Binder [aut, cre], Florian Pfisterer [aut] , Lennart Schneider [aut] , Bernd Bischl [aut] , Michel Lang [aut] , Sebastian Fischer [aut] , Susanne Dandl [aut], Keno Mersmann [ctb], Maximilian Muecke [ctb] , Lona Koers [ctb]
Maintainer: Martin Binder <mlr.developer@mb706.com>

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Package isotracer updated to version 1.1.8 with previous version 1.1.7 dated 2024-11-04

Title: Isotopic Tracer Analysis Using MCMC
Description: Implements Bayesian models to analyze data from tracer addition experiments. The implemented method was originally described in the article "A New Method to Reconstruct Quantitative Food Webs and Nutrient Flows from Isotope Tracer Addition Experiments" by López-Sepulcre et al. (2020) <doi:10.1086/708546>.
Author: Andres Lopez-Sepulcre [aut] , Matthieu Bruneaux [aut, cre]
Maintainer: Matthieu Bruneaux <matthieu.bruneaux@gmail.com>

Diff between isotracer versions 1.1.7 dated 2024-11-04 and 1.1.8 dated 2025-03-07

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Package BayesianMCPMod updated to version 1.1.0 with previous version 1.0.2 dated 2025-02-06

Title: Simulate, Evaluate, and Analyze Dose Finding Trials with Bayesian MCPMod
Description: Bayesian MCPMod (Fleischer et al. (2022) <doi:10.1002/pst.2193>) is an innovative method that improves the traditional MCPMod by systematically incorporating historical data, such as previous placebo group data. This R package offers functions for simulating, analyzing, and evaluating Bayesian MCPMod trials with normally distributed endpoints. It enables the assessment of trial designs incorporating historical data across various true dose-response relationships and sample sizes. Robust mixture prior distributions, such as those derived with the Meta-Analytic-Predictive approach (Schmidli et al. (2014) <doi:10.1111/biom.12242>), can be specified for each dose group. Resulting mixture posterior distributions are used in the Bayesian Multiple Comparison Procedure and modeling steps. The modeling step also includes a weighted model averaging approach (Pinheiro et al. (2014) <doi:10.1002/sim.6052>). Estimated dose-response relationships can be bootstrapped and visualiz [...truncated...]
Author: Boehringer Ingelheim Pharma GmbH & Co. KG [cph, fnd], Stephan Wojciekowski [aut, cre], Lars Andersen [aut], Jonas Schick [ctb], Sebastian Bossert [aut]
Maintainer: Stephan Wojciekowski <stephan.wojciekowski@boehringer-ingelheim.com>

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Permanent link

Package TukeyC (with last version 1.3-42) was removed from CRAN

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

2023-08-31 1.3-42
2023-06-22 1.3-41
2021-10-28 1.3-4
2019-01-16 1.3-3
2018-01-13 1.3-0
2014-08-18 1.1-5
2013-11-22 1.1-4
2012-10-08 1.1-0
2012-06-26 1.0-7
2012-06-22 1.0-6

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Package readxl updated to version 1.4.5 with previous version 1.4.4 dated 2025-02-27

Title: Read Excel Files
Description: Import excel files into R. Supports '.xls' via the embedded 'libxls' C library <https://github.com/libxls/libxls> and '.xlsx' via the embedded 'RapidXML' C++ library <https://rapidxml.sourceforge.net/>. Works on Windows, Mac and Linux without external dependencies.
Author: Hadley Wickham [aut] , Jennifer Bryan [aut, cre] , Posit, PBC [cph, fnd] , Marcin Kalicinski [ctb, cph] , Komarov Valery [ctb, cph] , Christophe Leitienne [ctb, cph] , Bob Colbert [ctb, cph] , David Hoerl [ctb, cph] , Evan Miller [ctb, cph]
Maintainer: Jennifer Bryan <jenny@posit.co>

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Package messydates updated to version 0.5.2 with previous version 0.4.1 dated 2024-04-19

Title: A Flexible Class for Messy Dates
Description: Contains a set of tools for constructing and coercing into and from the "mdate" class. This date class implements ISO 8601-2:2019(E) and allows regular dates to be annotated to express unspecified date components, approximate or uncertain date components, date ranges, and sets of dates. This is useful for describing and analysing temporal information, whether historical or recent, where date precision may vary.
Author: James Hollway [cre, aut, ctb] , Henrique Sposito [ctb] , Jael Tan [ctb] , Nathan Werth [ctb]
Maintainer: James Hollway <james.hollway@graduateinstitute.ch>

Diff between messydates versions 0.4.1 dated 2024-04-19 and 0.5.2 dated 2025-03-07

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Permanent link

Package adbcdrivermanager updated to version 0.17.0 with previous version 0.16.0 dated 2025-01-22

Title: 'Arrow' Database Connectivity ('ADBC') Driver Manager
Description: Provides a developer-facing interface to 'Arrow' Database Connectivity ('ADBC') for the purposes of driver development, driver testing, and building high-level database interfaces for users. 'ADBC' <https://arrow.apache.org/adbc/> is an API standard for database access libraries that uses 'Arrow' for result sets and query parameters.
Author: Dewey Dunnington [aut, cre] , Apache Arrow [aut, cph], Apache Software Foundation [cph]
Maintainer: Dewey Dunnington <dewey@dunnington.ca>

Diff between adbcdrivermanager versions 0.16.0 dated 2025-01-22 and 0.17.0 dated 2025-03-07

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 MD5                                            |   24 +++++------
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Permanent link

New package SerolyzeR with initial version 1.0.0
Package: SerolyzeR
Title: Reading, Quality Control and Preprocessing of MBA (Multiplex Bead Assay) Data
Description: Speeds up the process of loading raw data from MBA (Multiplex Bead Assay) examinations, performs quality control checks, and automatically normalises the data, preparing it for more advanced, downstream tasks. The main objective of the package is to create a simple environment for a user, who does not necessarily have experience with R language. The package is developed within the project 'PvSTATEM', which is an international project aiming for malaria elimination.
BugReports: https://github.com/mini-pw/SerolyzeR/issues
Version: 1.0.0
License: BSD_3_clause + file LICENSE
Encoding: UTF-8
Imports: dplyr, ggplot2, nplr, R6, readr, readxl, stringi, stringr, grid, png, tools, ggrepel, lubridate, R.utils, svglite, fs, scales
Suggests: knitr, qpdf, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://github.com/mini-pw/SerolyzeR, https://mini-pw.github.io/SerolyzeR/
NeedsCompilation: no
Packaged: 2025-03-06 17:29:30 UTC; tymot
Author: Tymoteusz Kwiecinski [aut, cre] , Jakub Grzywaczewski [aut], Mateusz Nizwantowski [aut], Przemyslaw Biecek [ths] , Nuno Sepulveda [ths]
Maintainer: Tymoteusz Kwiecinski <tymoteuszkwiecinski@gmail.com>
Repository: CRAN
Date/Publication: 2025-03-07 16:40:02 UTC

More information about SerolyzeR at CRAN
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Package RcppSimdJson updated to version 0.1.13 with previous version 0.1.12 dated 2024-07-07

Title: 'Rcpp' Bindings for the 'simdjson' Header-Only Library for 'JSON' Parsing
Description: The 'JSON' format is ubiquitous for data interchange, and the 'simdjson' library written by Daniel Lemire (and many contributors) provides a high-performance parser for these files which by relying on parallel 'SIMD' instruction manages to parse these files as faster than disk speed. See the <doi:10.48550/arXiv.1902.08318> paper for more details about 'simdjson'. This package parses 'JSON' from string, file, or remote URLs under a variety of settings.
Author: Dirk Eddelbuettel [aut, cre] , Brendan Knapp [aut] , Daniel Lemire [aut]
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between RcppSimdJson versions 0.1.12 dated 2024-07-07 and 0.1.13 dated 2025-03-07

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Permanent link

New package prmisc with initial version 0.0.3
Package: prmisc
Title: Miscellaneous Printing of Numeric and Statistical Output in R Markdown and Quarto Documents
Version: 0.0.3
Author: Martin Papenberg [aut, cre] , Juliane V. Nagel [aut]
Description: Miscellaneous printing of numeric or statistical results in R Markdown or Quarto documents according to guidelines of the "Publication Manual" of the American Psychological Association (2020, ISBN: 978-1-4338-3215-4). These guidelines are usually referred to as APA style (<https://apastyle.apa.org/>) and include specific rules on the formatting of numbers and statistical test results. APA style has to be implemented when submitting scientific reports in a wide range of research fields, especially in the social sciences. The default output of numbers in the R console or R Markdown and Quarto documents does not meet the APA style requirements, and reformatting results manually can be cumbersome and error-prone. This package covers the automatic conversion of R objects to textual representations that meet the APA style requirements, which can be included in R Markdown or Quarto documents. It covers some basic statistical tests (t-test, ANOVA, correlation, chi-squared test, Wilcoxon [...truncated...]
License: MIT + file LICENSE
URL: https://github.com/m-Py/prmisc
BugReports: https://github.com/m-Py/prmisc/issues
Depends: R (>= 3.0.0)
Suggests: afex, effectsize, knitr, rmarkdown, spgs
VignetteBuilder: knitr, rmarkdown
Encoding: UTF-8
LazyLoad: yes
NeedsCompilation: no
Packaged: 2025-03-06 09:01:48 UTC; martin
Maintainer: Martin Papenberg <martin.papenberg@hhu.de>
Repository: CRAN
Date/Publication: 2025-03-07 16:20:02 UTC

More information about prmisc at CRAN
Permanent link

Package Luminescence updated to version 1.0.1 with previous version 1.0.0 dated 2025-02-21

Title: Comprehensive Luminescence Dating Data Analysis
Description: A collection of various R functions for the purpose of Luminescence dating data analysis. This includes, amongst others, data import, export, application of age models, curve deconvolution, sequence analysis and plotting of equivalent dose distributions.
Author: Sebastian Kreutzer [aut, trl, cre, dtc] , Christoph Burow [aut, trl, dtc] , Michael Dietze [aut] , Margret C. Fuchs [aut] , Christoph Schmidt [aut] , Manfred Fischer [aut, trl], Johannes Friedrich [aut] , Norbert Mercier [aut] , Rachel K. Smedley [ct [...truncated...]
Maintainer: Sebastian Kreutzer <maintainer_luminescence@r-luminescence.org>

Diff between Luminescence versions 1.0.0 dated 2025-02-21 and 1.0.1 dated 2025-03-07

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Package ibawds updated to version 1.1.0 with previous version 1.0.0 dated 2024-09-30

Title: Functions and Datasets for the Data Science Course at IBAW
Description: A collection of useful functions and datasets for the Data Science Course at IBAW.
Author: Stefan Lanz [aut, cre]
Maintainer: Stefan Lanz <slanz1137@gmail.com>

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Package grates updated to version 1.4.2 with previous version 1.4.1 dated 2025-02-05

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>

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Package GGIRread updated to version 1.0.3 with previous version 1.0.2 dated 2024-10-25

Title: Wearable Accelerometer Data File Readers
Description: Reads data collected from wearable acceleratometers as used in sleep and physical activity research. Currently supports file formats: binary data from 'GENEActiv' <https://activinsights.com/>, .bin-format from GENEA devices (not for sale), and .cwa-format from 'Axivity' <https://axivity.com>. Further, it has functions for reading text files with epoch level aggregates from 'Actical', 'Fitbit', 'Actiwatch', 'ActiGraph', and 'PhilipsHealthBand'. Primarily designed to complement R package GGIR <https://CRAN.R-project.org/package=GGIR>.
Author: Vincent T van Hees [aut, cre], Patrick Bos [aut] , Lena Kushleyeva [ctb], Jing Hua Zhao [ctb], Evgeny Mirkes [ctb], Dan Jackson [ctb], Jairo H Migueles [ctb], Medical Research Council UK [cph, fnd], Accelting [cph, fnd]
Maintainer: Vincent T van Hees <v.vanhees@accelting.com>

Diff between GGIRread versions 1.0.2 dated 2024-10-25 and 1.0.3 dated 2025-03-07

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Package EGAnet updated to version 2.2.0 with previous version 2.1.0 dated 2024-11-09

Title: Exploratory Graph Analysis – a Framework for Estimating the Number of Dimensions in Multivariate Data using Network Psychometrics
Description: Implements the Exploratory Graph Analysis (EGA) framework for dimensionality and psychometric assessment. EGA estimates the number of dimensions in psychological data using network estimation methods and community detection algorithms. A bootstrap method is provided to assess the stability of dimensions and items. Fit is evaluated using the Entropy Fit family of indices. Unique Variable Analysis evaluates the extent to which items are locally dependent (or redundant). Network loadings provide similar information to factor loadings and can be used to compute network scores. A bootstrap and permutation approach are available to assess configural and metric invariance. Hierarchical structures can be detected using Hierarchical EGA. Time series and intensive longitudinal data can be analyzed using Dynamic EGA, supporting individual, group, and population level assessments.
Author: Hudson Golino [aut, cre] , Alexander Christensen [aut] , Robert Moulder [ctb] , Luis E. Garrido [ctb] , Laura Jamison [ctb] , Dingjing Shi [ctb]
Maintainer: Hudson Golino <hfg9s@virginia.edu>

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New package Certara.DarwinReporter with initial version 2.0.1
Package: Certara.DarwinReporter
Title: Data Visualization Utilities for 'pyDarwin' Machine Learning Pharmacometric Model Development
Version: 2.0.1
Description: Utilize the 'shiny' interface for visualizing results from a 'pyDarwin' (<https://certara.github.io/pyDarwin/>) machine learning pharmacometric model search. It generates Goodness-of-Fit plots and summary tables for selected models, allowing users to customize diagnostic outputs within the interface. The underlying R code for generating plots and tables can be extracted for use outside the interactive session. Model diagnostics can also be incorporated into an R Markdown document and rendered in various output formats.
URL: https://certara.github.io/R-DarwinReporter/
Depends: R (>= 4.1.0)
License: LGPL-3
Encoding: UTF-8
Suggests: knitr, rmarkdown, data.table, readr, testthat (>= 3.0.0)
Imports: DT, colourpicker, shinyAce, shinymeta, utils, ggplot2, xpose, Certara.Xpose.NLME, dplyr, jsonlite, tidyr, flextable, shinyjqui, grDevices, plotly, scales, shiny (>= 1.7.0), shinyjs, shinyWidgets, bslib (>= 0.7.0), shinyTree (>= 0.3.1), sortable
NeedsCompilation: no
Packaged: 2025-03-06 16:41:17 UTC; jcraig
Author: James Craig [aut, cre], Michael Tomashevskiy [aut], Mike Talley [aut], Certara USA, Inc [cph, fnd]
Maintainer: James Craig <james.craig@certara.com>
Repository: CRAN
Date/Publication: 2025-03-07 16:40:13 UTC

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Package archeofrag updated to version 1.1.0 with previous version 1.0.0 dated 2024-12-17

Title: Spatial Analysis in Archaeology from Refitting Fragments
Description: Methods to analyse spatial units in archaeology from the relationships between refitting fragmented objects scattered in these units (e.g. stratigraphic layers). Graphs are used to model archaeological observations. The package is mainly based on the 'igraph' package for graph analysis. Functions can: 1) create, manipulate, and simulate fragmentation graphs, 2) measure the cohesion and admixture of archaeological spatial units, and 3) characterise the topology of a specific set of refitting relationships. Empirical datasets are provided as examples. Documentation about 'archeofrag' is provided by the vignette included in this package, by the accompanying scientific papers: Plutniak (2021, Journal of Archaeological Science, <doi:10.1016/j.jas.2021.105501>) and Plutniak (2022, Journal of Open Source Software, <doi:10.21105/joss.04335>). This package is complemented by a companion GUI application available at <https://analytics.huma-num.fr/Sebastien.Plutniak/archeofrag/> [...truncated...]
Author: Sebastien Plutniak [aut, cre]
Maintainer: Sebastien Plutniak <sebastien.plutniak@posteo.net>

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Package adbcsqlite updated to version 0.17.0 with previous version 0.16.0 dated 2025-01-22

Title: 'Arrow' Database Connectivity ('ADBC') 'SQLite' Driver
Description: Provides a developer-facing interface to the 'Arrow' Database Connectivity ('ADBC') 'SQLite' driver for the purposes of building high-level database interfaces for users. 'ADBC' <https://arrow.apache.org/adbc/> is an API standard for database access libraries that uses 'Arrow' for result sets and query parameters.
Author: Dewey Dunnington [aut, cre] , Apache Arrow [aut, cph], Apache Software Foundation [cph]
Maintainer: Dewey Dunnington <dewey@dunnington.ca>

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 adbcsqlite-0.17.0/adbcsqlite/src/c/validation/adbc_validation_statement.cc  |    3 
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Package adbcpostgresql updated to version 0.17.0 with previous version 0.16.0 dated 2025-01-22

Title: 'Arrow' Database Connectivity ('ADBC') 'PostgreSQL' Driver
Description: Provides a developer-facing interface to the 'Arrow' Database Connectivity ('ADBC') 'PostgreSQL' driver for the purposes of building high-level database interfaces for users. 'ADBC' <https://arrow.apache.org/adbc/> is an API standard for database access libraries that uses 'Arrow' for result sets and query parameters.
Author: Dewey Dunnington [aut, cre] , Apache Arrow [aut, cph], Apache Software Foundation [cph]
Maintainer: Dewey Dunnington <dewey@dunnington.ca>

Diff between adbcpostgresql versions 0.16.0 dated 2025-01-22 and 0.17.0 dated 2025-03-07

 adbcpostgresql-0.16.0/adbcpostgresql/src/arrow-adbc                                 |only
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 adbcpostgresql-0.17.0/adbcpostgresql/src/c/validation/adbc_validation_connection.cc |    4 
 adbcpostgresql-0.17.0/adbcpostgresql/src/c/validation/adbc_validation_statement.cc  |    3 
 adbcpostgresql-0.17.0/adbcpostgresql/src/c/validation/adbc_validation_util.cc       |    5 
 13 files changed, 91 insertions(+), 18 deletions(-)

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Package aberrance updated to version 0.2.1 with previous version 0.2.0 dated 2025-02-07

Title: Detect Aberrant Behavior in Test Data
Description: Detect several types of aberrant behavior, including answer copying, answer similarity, nonparametric misfit, parametric misfit, preknowledge, rapid guessing, and test tampering.
Author: Kylie Gorney [aut, cph, cre] , Jiayi Deng [aut, cph]
Maintainer: Kylie Gorney <kgorney@msu.edu>

Diff between aberrance versions 0.2.0 dated 2025-02-07 and 0.2.1 dated 2025-03-07

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 12 files changed, 278 insertions(+), 299 deletions(-)

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Package PubChemR updated to version 2.1.4 with previous version 2.1.3 dated 2024-12-16

Title: Interface to the 'PubChem' Database for Chemical Data Retrieval
Description: Provides an interface to the 'PubChem' database via the PUG REST <https://pubchem.ncbi.nlm.nih.gov/docs/pug-rest> and PUG View <https://pubchem.ncbi.nlm.nih.gov/docs/pug-view> services. This package allows users to automatically access chemical and biological data from 'PubChem', including compounds, substances, assays, and various other data types. Functions are available to retrieve data in different formats, perform searches, and access detailed annotations.
Author: Selcuk Korkmaz [aut, cre] , Bilge Eren Yamasan [aut] , Dincer Goksuluk [aut]
Maintainer: Selcuk Korkmaz <selcukorkmaz@gmail.com>

Diff between PubChemR versions 2.1.3 dated 2024-12-16 and 2.1.4 dated 2025-03-07

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 MD5                                                         |   16 
 inst/doc/Enhancing_Chemical_Data_Access_with_PubChemR.html  |   60 
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 inst/doc/Working_with_PubChemR_to_Access_Chemical_Data.R    |    6 
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 tests/testthat/test-get_aids.R                              |  129 
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 9 files changed, 7251 insertions(+), 5791 deletions(-)

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Package PLStests updated to version 0.1.1 with previous version 0.1.0 dated 2025-01-14

Title: Model Checking for High-Dimensional GLMs via Random Projections
Description: Provides methods for testing the goodness-of-fit of generalized linear models (GLMs) using random projections. It is specifically designed for high-dimensional scenarios where the number of predictors substantially exceeds the sample size. The statistical methodologies implemented in this package are detailed in the paper by Wen Chen and Falong Tan (2024, <doi:10.48550/arXiv.2412.10721>).
Author: Wen Chen [aut, cre], Jie Liu [aut], Heng Peng [aut], FaLong Tan [aut], Lixing Zhu [aut]
Maintainer: Wen Chen <tlqdcw@gmail.com>

Diff between PLStests versions 0.1.0 dated 2025-01-14 and 0.1.1 dated 2025-03-07

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 MD5             |    9 +++++----
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Package curesurv updated to version 0.1.2 with previous version 0.1.1 dated 2024-09-17

Title: Mixture and Non Mixture Parametric Cure Models to Estimate Cure Indicators
Description: Fits a variety of cure models using excess hazard modeling methodology such as the mixture model proposed by Phillips et al. (2002) <doi:10.1002/sim.1101> The Weibull distribution is used to represent the survival function of the uncured patients; Fits also non-mixture cure model such as the time-to-null excess hazard model proposed by Boussari et al. (2020) <doi:10.1111/biom.13361>.
Author: Juste Goungounga [aut, cre] , Judith Breaud [aut] , Olayide Boussari [aut] , Laura Botta [ctb] , Valerie Jooste [aut]
Maintainer: Juste Goungounga <juste.goungounga@ehesp.fr>

Diff between curesurv versions 0.1.1 dated 2024-09-17 and 0.1.2 dated 2025-03-07

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 vignettes/vignette_mixture.Rmd     |    2 
 94 files changed, 270 insertions(+), 281 deletions(-)

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New package xlr with initial version 1.0.3
Package: xlr
Title: Create Table Summaries and Export Neat Tables to 'Excel'
Version: 1.0.3
Description: A high-level interface for creating and exporting summary tables to 'Excel'. Built on 'dplyr' and 'openxlsx', it provides tools for generating one-way to n-way tables, and summarizing multiple response questions and question blocks. Tables are exported with native 'Excel' formatting, including titles, footnotes, and basic styling options.
License: GPL (>= 3)
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), data.table, lubridate
Imports: rlang, vctrs (>= 0.6.0), haven, openxlsx, methods, cli, dplyr, tibble, pillar, tidyr, tidyselect
Depends: R (>= 4.1.0)
LazyData: true
VignetteBuilder: knitr
URL: https://nhilder.github.io/xlr/, https://github.com/NHilder/xlr
BugReports: https://github.com/NHilder/xlr/issues
NeedsCompilation: no
Packaged: 2025-03-05 21:40:22 UTC; nicholashilderson
Author: Nicholas Hilderson [aut, cre, cph]
Maintainer: Nicholas Hilderson <nhilderson.code@gmail.com>
Repository: CRAN
Date/Publication: 2025-03-07 11:40:02 UTC

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New package visae with initial version 0.2.1
Package: visae
Title: Visualization of Adverse Events
Version: 0.2.1
Description: Implementation of 'shiny' app to visualize adverse events based on the Common Terminology Criteria for Adverse Events (CTCAE) using stacked correspondence analysis as described in Diniz et. al (2021)<doi:10.1186/s12874-021-01368-w>.
BugReports: https://github.com/dnzmarcio/visae/issues
License: GPL (>= 2)
Depends: shiny (>= 1.4.0), dplyr (>= 1.0.0), ggplot2 (>= 3.3.0), R (>= 4.1.0)
Imports: shinyjs (>= 1.1), ca (>= 0.71), tidyr (>= 1.1.0), ggrepel (>= 0.8.2), rlang (>= 0.4.6), DT (>= 0.13)
Encoding: UTF-8
Suggests: rmarkdown, knitr, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-03-05 06:10:29 UTC; dinizm01
Author: Marcio A. Diniz [aut, cre, cph] , Michael Luu [aut]
Maintainer: Marcio A. Diniz <marcio.diniz@mountsinai.org>
Repository: CRAN
Date/Publication: 2025-03-07 11:10:02 UTC

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New package vecmatch with initial version 1.0.2
Package: vecmatch
Title: Generalized Propensity Score Estimation and Matching for Multiple Groups
Version: 1.0.2
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>.
License: GPL (>= 3)
URL: https://github.com/Polymerase3/vecmatch
BugReports: https://github.com/Polymerase3/vecmatch/issues
Depends: R (>= 3.5)
Imports: brglm2, chk, cli, ggplot2, ggpp, ggpubr, grDevices, MASS, Matching, mclogit, nnet, optmatch, productplots, rlang, rstatix, stats, utils, VGAM, withr
Suggests: knitr, rmarkdown, spelling, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
Language: en-US
NeedsCompilation: no
Packaged: 2025-03-05 10:02:29 UTC; polymerase
Author: Mateusz Kolek [aut, cre, cph]
Maintainer: Mateusz Kolek <mati.kolek13@gmail.com>
Repository: CRAN
Date/Publication: 2025-03-07 11:20:03 UTC

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New package transformerForecasting with initial version 0.1.0
Package: transformerForecasting
Title: Transformer Deep Learning Model for Time Series Forecasting
Version: 0.1.0
Maintainer: G H Harish Nayak <harishnayak626@gmail.com>
Description: Time series forecasting faces challenges due to the non-stationarity, nonlinearity, and chaotic nature of the data. Traditional deep learning models like Recurrent Neural Network (RNN), Long Short-Term Memory (LSTM), and Gated Recurrent Unit (GRU) process data sequentially but are inefficient for long sequences. To overcome the limitations of these models, we proposed a transformer-based deep learning architecture utilizing an attention mechanism for parallel processing, enhancing prediction accuracy and efficiency. This paper presents user-friendly code for the implementation of the proposed transformer-based deep learning architecture utilizing an attention mechanism for parallel processing. References: Nayak et al. (2024) <doi:10.1007/s40808-023-01944-7> and Nayak et al. (2024) <doi:10.1016/j.simpa.2024.100716>.
Imports: ggplot2, keras, tensorflow, magrittr, reticulate (>= 1.20)
Suggests: dplyr, knitr, lubridate, readr, rmarkdown, utils
License: GPL-3
Encoding: UTF-8
Author: G H Harish Nayak [aut, cre], Md Wasi Alam [ths], B Samuel Naik [ctb], G Avinash [ctb], Kabilan S [ctb], Varshini B S [ctb], Mrinmoy Ray [ths], Rajeev Ranjan Kumar [ths]
Depends: R (>= 4.0.0)
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-03-05 04:28:04 UTC; kabil
Repository: CRAN
Date/Publication: 2025-03-07 11:10:06 UTC

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New package tidyklips with initial version 0.3.0
Package: tidyklips
Title: Load Korea Labor & Income Panel Study (KLIPS) Data as Data Frames
Version: 0.3.0
Description: Loading the Korea Labor Institute's KLIPS (Korea Labor & Income Panel Study) panel data and returning data frames. Users must download 26 years of panel data from the Korea Labor Institute website and save it in a folder in an appropriate path. Afterwards, users can easily convert the data into a data frame using this package.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: magrittr, stringr, readxl, haven, dplyr
Depends: R (>= 3.5)
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-03-05 13:33:32 UTC; choi
Author: Cheon Geun Choi [aut, cre]
Maintainer: Cheon Geun Choi <cheongeun.choi@gmail.com>
Repository: CRAN
Date/Publication: 2025-03-07 11:20:07 UTC

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New package shinyTimer with initial version 0.1.0
Package: shinyTimer
Title: Customizable Timer for 'shiny' Applications
Version: 0.1.0
Description: Provides a customizable timer widget for 'shiny' applications. Key features include countdown and count-up mode, multiple display formats (including simple seconds, minutes-seconds, hours-minutes-seconds, and minutes-seconds-centiseconds), ability to pause, resume, and reset the timer. 'shinytimer' widget can be particularly useful for creating interactive and time-sensitive applications, tracking session times, setting time limits for tasks or quizzes, and more.
Depends: R (>= 4.1.0)
License: MIT + file LICENSE
Encoding: UTF-8
Imports: shiny, htmltools
Suggests: R6, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2025-03-05 08:42:28 UTC; banasm
Author: Maciej Banas [aut, cre]
Maintainer: Maciej Banas <banasmaciek@gmail.com>
Repository: CRAN
Date/Publication: 2025-03-07 11:10:09 UTC

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New package scPipeline with initial version 0.2.0.0
Package: scPipeline
Title: A Wrapper for 'Seurat' and Related R Packages for End-to-End Single Cell Analysis
Version: 0.2.0.0
Author: Viswanadham Sridhara [aut, cre]
Maintainer: Viswanadham Sridhara <Sridhara.Omics@gmail.com>
Description: Reports markers list, differentially expressed genes, associated pathways, cell-type annotations, does batch correction and other related single cell analyses all wrapped within 'Seurat'.
Imports: Seurat, batchelor, dplyr, ReactomeGSA, celldex, SingleR, SummarizedExperiment, biomaRt, magrittr, rlang
License: MIT + file LICENSE
Encoding: UTF-8
VignetteBuilder: knitr
Suggests: knitr, rmarkdown
NeedsCompilation: no
Packaged: 2025-03-05 20:54:01 UTC; vishs
Repository: CRAN
Date/Publication: 2025-03-07 11:40:06 UTC

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Package rmsMD updated to version 0.1.2 with previous version 0.1.1 dated 2025-03-03

Title: Output Results from 'rms' Models for Medical Journals
Description: This takes the output of models performed using the 'rms' package and returns a dataframe with the results. This output is in the format required by medical journals. For example for cox regression models, the hazard ratios, their 95% confidence intervals, and p values will be provided. There are additional functions for outputs when the model included restricted cubic spline (RCS) terms. Models using imputed data (eg from aregimpute()) and fitted used fit.mult.impute() can also be processed. The dataframe which is returned can easily be turned into a publication ready table with packages 'flextable' and 'officer'.
Author: Samuel Tingle [aut, cre], Georgios Kourounis [aut]
Maintainer: Samuel Tingle <samjamestingle@gmail.com>

Diff between rmsMD versions 0.1.1 dated 2025-03-03 and 0.1.2 dated 2025-03-07

 DESCRIPTION                             |    7 
 MD5                                     |   12 -
 build/vignette.rds                      |binary
 inst/doc/modelsummary_rms-vignette.R    |    5 
 inst/doc/modelsummary_rms-vignette.Rmd  |   19 --
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 vignettes/modelsummary_rms-vignette.Rmd |   19 --
 7 files changed, 152 insertions(+), 183 deletions(-)

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New package pQTLdata with initial version 0.5
Package: pQTLdata
Title: A Collection of Proteome Panels and Meta-Data
Version: 0.5
Date: 2025-3-5
Description: It aggregates protein panel data and metadata for protein quantitative trait locus (pQTL) analysis using 'pQTLtools' (<https://jinghuazhao.github.io/pQTLtools/>). The package includes data from affinity-based panels such as 'Olink' (<https://olink.com/>) and 'SomaScan' (<https://somalogic.com/>), as well as mass spectrometry-based panels from 'CellCarta' (<https://cellcarta.com/>) and 'Seer' (<https://seer.bio/>). The metadata encompasses updated annotations and publication details.
License: MIT + file LICENSE
URL: https://jinghuazhao.github.io/pQTLdata/, https://jinghuazhao.github.io/pQTLdata/
Depends: R (>= 3.5.0)
Imports: knitr, Rdpack
Suggests: dplyr, grid, EnsDb.Hsapiens.v75, ensembldb, IRanges, org.Hs.eg.db, S4Vectors, VennDiagram
VignetteBuilder: knitr
LazyData: Yes
LazyLoad: Yes
LazyDataCompression: xz
NeedsCompilation: no
Encoding: UTF-8
Packaged: 2025-03-05 16:14:38 UTC; jhz22
Author: Jing Hua Zhao [aut, cre] , Uwe Ligges [ctb], Benjamin Altmann [ctb]
Maintainer: Jing Hua Zhao <jinghuazhao@hotmail.com>
Repository: CRAN
Date/Publication: 2025-03-07 11:30:02 UTC

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New package ParamANOVA with initial version 0.1.2
Package: ParamANOVA
Title: Fully Parameterizable ANOVA Tests
Version: 0.1.2
Description: Allows the user to perform ANOVA tests (in a strict sense: continuous and normally-distributed Y variable and 1 or more factorial/categorical X variable(s)), with the possibility to specify the type of sum of squares (1, 2 or 3), the types of variables (Fixed or Random) and their relationships (crossed or nested) with the sole function of the package (FullyParamANOVA()). The resulting outputs are the same as in 'SAS' software. A dataset (Butterfly) to test the function is also joined.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr (>= 1.1.2), magrittr (>= 2.0.3), mlr3misc (>= 0.16.0), rlang (>= 1.1.1), rstatix (>= 0.7.2), stats (>= 4.2.1), tibble (>= 3.2.1)
Depends: R (>= 3.5)
LazyData: true
NeedsCompilation: no
Packaged: 2025-03-05 15:12:48 UTC; vbrans
Author: Victor Brans [aut, cre]
Maintainer: Victor Brans <vicbrans003@gmail.com>
Repository: CRAN
Date/Publication: 2025-03-07 11:30:15 UTC

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New package hellmer with initial version 0.1.0
Package: hellmer
Title: Batch Processing for Chat Models
Version: 0.1.0
Description: Batch processing framework for 'ellmer' chat model interactions. Enables sequential and parallel processing of chat completions. Core capabilities include error handling with backoff, state persistence, progress tracking, and retry management. Parallel processing is implemented via the 'future' framework. Additional features include structured data extraction, tool integration, timeout handling, verbosity control, and sound notifications. Includes methods for returning chat texts, chat objects, progress status, and structured data.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
Imports: beepr, cli, future, furrr, parallel, purrr, R.utils, S7, utils
Depends: ellmer
URL: https://dylanpieper.github.io/hellmer/
NeedsCompilation: no
Packaged: 2025-03-05 21:54:51 UTC; dylanpieper
Author: Dylan Pieper [aut, cre]
Maintainer: Dylan Pieper <dylanpieper@gmail.com>
Repository: CRAN
Date/Publication: 2025-03-07 11:40:10 UTC

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Package fastml updated to version 0.5.0 with previous version 0.4.0 dated 2025-01-08

Title: Fast Machine Learning Model Training and Evaluation
Description: Streamlines the training, evaluation, and comparison of multiple machine learning models with minimal code by providing comprehensive data preprocessing and support for a wide range of algorithms with hyperparameter tuning. It offers performance metrics and visualization tools to facilitate efficient and effective machine learning workflows.
Author: Selcuk Korkmaz [aut, cre] , Dincer Goksuluk [aut] , Eda Karaismailoglu [aut]
Maintainer: Selcuk Korkmaz <selcukorkmaz@gmail.com>

Diff between fastml versions 0.4.0 dated 2025-01-08 and 0.5.0 dated 2025-03-07

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New package facilityepimath with initial version 0.1.0
Package: facilityepimath
Title: Analyze Mathematical Models of Healthcare Facility Transmission
Version: 0.1.0
Description: Calculate useful quantities for a user-defined differential equation model of infectious disease transmission among individuals in a healthcare facility. Input rates of transition between states of individuals with and without the disease-causing organism, distributions of states at facility admission, relative infectivity of transmissible states, and the facility length of stay distribution. Calculate the model equilibrium and the basic facility reproduction number, as described in Toth et al. (2025) <doi:10.1101/2025.02.21.25322698>.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/EpiForeSITE/facilityepimath
BugReports: https://github.com/EpiForeSITE/facilityepimath/issues
Imports: MASS
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-03-05 03:52:47 UTC; runner
Author: Damon Toth [aut, cre, cph] , Centers for Disease Control and Prevention [fnd]
Maintainer: Damon Toth <damon.toth@hsc.utah.edu>
Repository: CRAN
Date/Publication: 2025-03-07 11:10:13 UTC

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Package cvms updated to version 1.7.0 with previous version 1.6.3 dated 2025-01-14

Title: Cross-Validation for Model Selection
Description: Cross-validate one or multiple regression and classification models and get relevant evaluation metrics in a tidy format. Validate the best model on a test set and compare it to a baseline evaluation. Alternatively, evaluate predictions from an external model. Currently supports regression and classification (binary and multiclass). Described in chp. 5 of Jeyaraman, B. P., Olsen, L. R., & Wambugu M. (2019, ISBN: 9781838550134).
Author: Ludvig Renbo Olsen [aut, cre] , Hugh Benjamin Zachariae [aut], Indrajeet Patil [ctb] , Daniel Luedecke [ctb]
Maintainer: Ludvig Renbo Olsen <r-pkgs@ludvigolsen.dk>

Diff between cvms versions 1.6.3 dated 2025-01-14 and 1.7.0 dated 2025-03-07

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Package ClaimsProblems updated to version 1.0.0 with previous version 0.2.1 dated 2023-01-12

Title: Analysis of Conflicting Claims
Description: The analysis of conflicting claims arises when an amount has to be divided among a set of agents with claims that exceed what is available. A rule is a way of selecting a division among the claimants. This package computes the main rules introduced in the literature from ancient times to the present. The inventory of rules covers the proportional and the adjusted proportional rules, the constrained equal awards and the constrained equal losses rules, the constrained egalitarian, the Piniles’ and the minimal overlap rules, the random arrival and the Talmud rules. Besides, the Dominguez and Thomson and the average-of-awards rules are also included. All of them can be found in the book by W. Thomson (2019), How to divide when there isn't enough. From Aristotle, the Talmud, and Maimonides to the axiomatics of resource allocation', except for the average-of-awards rule, introduced by Mirás Calvo et al. (2022), <doi:10.1007/s00355-022-01414-6>. In addition, graphical diagrams allow t [...truncated...]
Author: Estela Sanchez Rodriguez [cre, aut] , Iago Nunez Lugilde [aut] , Miguel Angel Miras Calvo [aut] , Carmen Quinteiro Sandomingo [aut] , MCIN/AEI/10.13039/501100011033 [fnd]
Maintainer: Estela Sanchez Rodriguez <esanchez@uvigo.es>

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More information about ClaimsProblems at CRAN
Permanent link

Package BioCro updated to version 3.2.0 with previous version 3.1.3 dated 2024-04-30

Title: Modular Crop Growth Simulations
Description: A cross-platform representation of models as sets of equations that facilitates modularity in model building and allows users to harness modern techniques for numerical integration and data visualization. Documentation is provided by several vignettes included in this package; also see Lochocki et al. (2022) <doi:10.1093/insilicoplants/diac003>.
Author: Justin M. McGrath [cre, aut] , Edward B. Lochocki [aut] , Yufeng He [aut] , Scott W. Oswald [aut] , Scott Rohde [aut] , Deepak Jaiswal [aut] , Megan L. Matthews [aut] , Fernando E. Miguez [aut] , Stephen P. Long [aut] , Dan Wang [ctb], David LeBauer [...truncated...]
Maintainer: Justin M. McGrath <jmcgrath@illinois.edu>

Diff between BioCro versions 3.1.3 dated 2024-04-30 and 3.2.0 dated 2025-03-07

 BioCro-3.1.3/BioCro/src/module_library/c3EvapoTrans.cpp                                                      |only
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 BioCro-3.2.0/BioCro/DESCRIPTION                                                                              |   14 
 BioCro-3.2.0/BioCro/MD5                                                                                      |  316 +++---
 BioCro-3.2.0/BioCro/NAMESPACE                                                                                |    5 
 BioCro-3.2.0/BioCro/NEWS.md                                                                                  |  228 +++-
 BioCro-3.2.0/BioCro/R/add_time_to_weather_data.R                                                             |    5 
 BioCro-3.2.0/BioCro/R/get_all.R                                                                              |    4 
 BioCro-3.2.0/BioCro/R/input_checking_functions.R                                                             |   86 +
 BioCro-3.2.0/BioCro/R/model_testing.R                                                                        |only
 BioCro-3.2.0/BioCro/R/module_creators.R                                                                      |    2 
 BioCro-3.2.0/BioCro/R/module_paste.R                                                                         |    2 
 BioCro-3.2.0/BioCro/R/module_testing.R                                                                       |   35 
 BioCro-3.2.0/BioCro/R/module_write.R                                                                         |only
 BioCro-3.2.0/BioCro/R/modules.R                                                                              |   12 
 BioCro-3.2.0/BioCro/R/run_biocro.R                                                                           |   75 +
 BioCro-3.2.0/BioCro/R/system_derivatives.R                                                                   |    8 
 BioCro-3.2.0/BioCro/R/validate_dynamical_system_inputs.R                                                     |   10 
 BioCro-3.2.0/BioCro/README.md                                                                                |   24 
 BioCro-3.2.0/BioCro/build/partial.rdb                                                                        |binary
 BioCro-3.2.0/BioCro/build/vignette.rds                                                                       |binary
 BioCro-3.2.0/BioCro/data/cmi_weather_data.rdata                                                              |binary
 BioCro-3.2.0/BioCro/data/default_ode_solvers.rda                                                             |binary
 BioCro-3.2.0/BioCro/data/miscanthus_x_giganteus.rda                                                          |binary
 BioCro-3.2.0/BioCro/data/soil_parameters.rda                                                                 |binary
 BioCro-3.2.0/BioCro/data/soybean.rda                                                                         |binary
 BioCro-3.2.0/BioCro/data/soybean_clock.rda                                                                   |binary
 BioCro-3.2.0/BioCro/data/soybean_weather.rdata                                                               |binary
 BioCro-3.2.0/BioCro/data/willow.rda                                                                          |binary
 BioCro-3.2.0/BioCro/inst/doc/BioCro.R                                                                        |    1 
 BioCro-3.2.0/BioCro/inst/doc/BioCro.Rmd                                                                      |    1 
 BioCro-3.2.0/BioCro/inst/doc/BioCro.html                                                                     |    7 
 BioCro-3.2.0/BioCro/inst/extdata/get_soybean_weather_data.R                                                  |only
 BioCro-3.2.0/BioCro/inst/extdata/rounding_weather_values.R                                                   |    1 
 BioCro-3.2.0/BioCro/man/add_time_to_weather_data.Rd                                                          |   56 -
 BioCro-3.2.0/BioCro/man/cmi_soybean_weather_data.Rd                                                          |    8 
 BioCro-3.2.0/BioCro/man/compare_model_output.Rd                                                              |only
 BioCro-3.2.0/BioCro/man/model_test_case.Rd                                                                   |only
 BioCro-3.2.0/BioCro/man/model_testing.Rd                                                                     |only
 BioCro-3.2.0/BioCro/man/module_case_files.Rd                                                                 |    5 
 BioCro-3.2.0/BioCro/man/module_testing.Rd                                                                    |    3 
 BioCro-3.2.0/BioCro/man/module_write.Rd                                                                      |only
 BioCro-3.2.0/BioCro/man/partial_application.Rd                                                               |    2 
 BioCro-3.2.0/BioCro/man/run_biocro.Rd                                                                        |   17 
 BioCro-3.2.0/BioCro/man/run_model_test_cases.Rd                                                              |only
 BioCro-3.2.0/BioCro/man/soybean.Rd                                                                           |   24 
 BioCro-3.2.0/BioCro/man/system_derivatives.Rd                                                                |    7 
 BioCro-3.2.0/BioCro/man/test_module.Rd                                                                       |    7 
 BioCro-3.2.0/BioCro/man/test_module_library.Rd                                                               |   12 
 BioCro-3.2.0/BioCro/man/time_variable.rd                                                                     |only
 BioCro-3.2.0/BioCro/man/update_stored_model_results.Rd                                                       |only
 BioCro-3.2.0/BioCro/src/R_system_derivatives.cpp                                                             |    2 
 BioCro-3.2.0/BioCro/src/inc/boost/concept/detail/general.hpp                                                 |   22 
 BioCro-3.2.0/BioCro/src/inc/boost/concept/usage.hpp                                                          |   10 
 BioCro-3.2.0/BioCro/src/inc/boost/graph/detail/adj_list_edge_iterator.hpp                                    |   30 
 BioCro-3.2.0/BioCro/src/inc/boost/graph/detail/adjacency_list.hpp                                            |    6 
 BioCro-3.2.0/BioCro/src/module_library/AuxBioCro.cpp                                                         |  355 -------
 BioCro-3.2.0/BioCro/src/module_library/AuxBioCro.h                                                           |   61 -
 BioCro-3.2.0/BioCro/src/module_library/BioCro.h                                                              |   25 
 BioCro-3.2.0/BioCro/src/module_library/CanAC.cpp                                                             |  155 +--
 BioCro-3.2.0/BioCro/src/module_library/CanAC.h                                                               |   71 -
 BioCro-3.2.0/BioCro/src/module_library/ball_berry.h                                                          |    2 
 BioCro-3.2.0/BioCro/src/module_library/ball_berry_gs.cpp                                                     |    8 
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 BioCro-3.2.0/BioCro/src/module_library/c3CanAC.cpp                                                           |  208 ++--
 BioCro-3.2.0/BioCro/src/module_library/c3CanAC.h                                                             |   82 -
 BioCro-3.2.0/BioCro/src/module_library/c3_assimilation.h                                                     |  179 ++-
 BioCro-3.2.0/BioCro/src/module_library/c3_canopy.cpp                                                         |  192 ++-
 BioCro-3.2.0/BioCro/src/module_library/c3_canopy.h                                                           |  178 ++-
 BioCro-3.2.0/BioCro/src/module_library/c3_leaf_photosynthesis.cpp                                            |  146 +-
 BioCro-3.2.0/BioCro/src/module_library/c3_leaf_photosynthesis.h                                              |  132 +-
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 BioCro-3.2.0/BioCro/src/module_library/c3photo.cpp                                                           |   74 -
 BioCro-3.2.0/BioCro/src/module_library/c3photo.h                                                             |    5 
 BioCro-3.2.0/BioCro/src/module_library/c4_assimilation.h                                                     |    2 
 BioCro-3.2.0/BioCro/src/module_library/c4_canopy.h                                                           |  317 +++---
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 BioCro-3.2.0/BioCro/src/module_library/c4_leaf_photosynthesis.h                                              |   90 -
 BioCro-3.2.0/BioCro/src/module_library/c4photo.cpp                                                           |   12 
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 BioCro-3.2.0/BioCro/src/module_library/fake_solar.h                                                          |    6 
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 BioCro-3.2.0/BioCro/src/module_library/leaf_gbw_nikolov.h                                                    |   47 
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 BioCro-3.2.0/BioCro/src/module_library/module_library.cpp                                                    |  274 ++---
 BioCro-3.2.0/BioCro/src/module_library/multilayer_canopy_integrator.h                                        |   45 
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 BioCro-3.2.0/BioCro/src/module_library/oscillator_clock_calculator.h                                         |  120 +-
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 BioCro-3.2.0/BioCro/tests/README.md                                                                          |   24 
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 BioCro-3.2.0/BioCro/tests/testthat/test.CropModels.R                                                         |   95 +
 BioCro-3.2.0/BioCro/tests/testthat/test.HarmonicOscillationModeling.R                                        |    3 
 BioCro-3.2.0/BioCro/tests/testthat/test.Modules.R                                                            |    6 
 BioCro-3.2.0/BioCro/tests/testthat/test.PartialApplication.R                                                 |    4 
 BioCro-3.2.0/BioCro/tests/testthat/test.SystemConstruction.R                                                 |   22 
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New package BacenAPI with initial version 0.1.0
Package: BacenAPI
Version: 0.1.0
Title: Data Collection from the Central Bank of Brazil
Description: Provides tools to facilitate the access and processing of data from the Central Bank of Brazil API. The package allows users to retrieve economic and financial data, transforming them into usable tabular formats for further analysis. The data is obtained from the Central Bank of Brazil API: <https://api.bcb.gov.br/dados/serie/bcdata.sgs.{series_code}/dados?formato=json&dataInicial={start_date}&dataFinal={end_date}>.
License: MIT + file LICENSE
URL: https://github.com/LissandroSousa/BacenAPI
BugReports: https://github.com/LissandroSousa/BacenAPI/issues
Imports: httr, httr2, jsonlite, magrittr
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2025-03-04 23:29:48 UTC; lisan
Author: Paulo Icaro [aut], Lissandro Sousa [cre, aut]
Maintainer: Lissandro Sousa <lisandrosousa54@gmail.com>
Repository: CRAN
Date/Publication: 2025-03-07 11:10:17 UTC

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Package ordinalsimr updated to version 0.2.0 with previous version 0.1.3 dated 2025-01-29

Title: Compare Ordinal Endpoints Using Simulations
Description: Simultaneously evaluate multiple ordinal outcome measures. Applied data analysts in particular are faced with uncertainty in choosing appropriate statistical tests for ordinal data. The included 'shiny' application allows users to simulate outcomes given different ordinal data distributions.
Author: Pat Callahan [aut, cre, cph]
Maintainer: Pat Callahan <patricktcallahan18@gmail.com>

Diff between ordinalsimr versions 0.1.3 dated 2025-01-29 and 0.2.0 dated 2025-03-07

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Package datawizard updated to version 1.0.1 with previous version 1.0.0 dated 2025-01-10

Title: Easy Data Wrangling and Statistical Transformations
Description: A lightweight package to assist in key steps involved in any data analysis workflow: (1) wrangling the raw data to get it in the needed form, (2) applying preprocessing steps and statistical transformations, and (3) compute statistical summaries of data properties and distributions. It is also the data wrangling backend for packages in 'easystats' ecosystem. References: Patil et al. (2022) <doi:10.21105/joss.04684>.
Author: Indrajeet Patil [aut] , Etienne Bacher [aut, cre] , Dominique Makowski [aut] , Daniel Luedecke [aut] , Mattan S. Ben-Shachar [aut] , Brenton M. Wiernik [aut] , Remi Theriault [ctb] , Thomas J. Faulkenberry [rev], Robert Garrett [rev]
Maintainer: Etienne Bacher <etienne.bacher@protonmail.com>

Diff between datawizard versions 1.0.0 dated 2025-01-10 and 1.0.1 dated 2025-03-07

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Package admix updated to version 2.3.4 with previous version 2.3.3 dated 2024-11-08

Title: Package Admix for Admixture (aka Contamination) Models
Description: Implements techniques to estimate the unknown quantities related to two-component admixture models, where the two components can belong to any distribution (note that in the case of multinomial mixtures, the two components must belong to the same family). Estimation methods depend on the assumptions made on the unknown component density; see Bordes and Vandekerkhove (2010) <doi:10.3103/S1066530710010023>, Patra and Sen (2016) <doi:10.1111/rssb.12148>, and Milhaud, Pommeret, Salhi, Vandekerkhove (2024) <doi:10.3150/23-BEJ1593>. In practice, one can estimate both the mixture weight and the unknown component density in a wide variety of frameworks. On top of that, hypothesis tests can be performed in one and two-sample contexts to test the unknown component density (see Milhaud, Pommeret, Salhi and Vandekerkhove (2022) <doi:10.1016/j.jspi.2021.05.010>, and Milhaud, Pommeret, Salhi, Vandekerkhove (2024) <doi:10.3150/23-BEJ1593>). Finally, clustering of unknown [...truncated...]
Author: Xavier Milhaud [aut, cre], Pierre Vandekerkhove [ctb], Denys Pommeret [ctb], Yahia Salhi [ctb]
Maintainer: Xavier Milhaud <xavier.milhaud.research@gmail.com>

Diff between admix versions 2.3.3 dated 2024-11-08 and 2.3.4 dated 2025-03-07

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Package STRMPS (with last version 0.6.8) was removed from CRAN

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

2025-02-21 0.6.8
2018-07-02 0.5.8

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Package CohortSurvival (with last version 0.6.2) was removed from CRAN

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

2025-01-22 0.6.2
2024-11-28 0.6.1
2024-11-10 0.6.0
2024-06-29 0.5.2
2024-05-18 0.5.1
2024-05-06 0.5.0
2024-04-02 0.4.0
2024-02-08 0.3.0
2023-12-07 0.2.5

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