Mon, 02 Sep 2024

Package verbalisr updated to version 0.7.1 with previous version 0.6.0 dated 2024-06-26

Title: Describe Pedigree Relationships in Words
Description: Describe in words the genealogical relationship between two members of a given pedigree, using the algorithm in Vigeland (2022) <doi:10.1186/s12859-022-04759-y>. 'verbalisr' is part of the 'pedsuite' collection of packages for pedigree analysis. For a demonstration of 'verbalisr', see the online app 'QuickPed' at <https://magnusdv.shinyapps.io/quickped>.
Author: Magnus Dehli Vigeland [aut, cre]
Maintainer: Magnus Dehli Vigeland <m.d.vigeland@medisin.uio.no>

Diff between verbalisr versions 0.6.0 dated 2024-06-26 and 0.7.1 dated 2024-09-02

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Package bipartiteD3 updated to version 0.3.2 with previous version 0.3.1 dated 2024-05-30

Title: Interactive Bipartite Graphs
Description: Generates interactive bipartite graphs using the D3 library. Designed for use with the 'bipartite' analysis package. Includes open source 'viz-js' library Adapted from examples at <https://bl.ocks.org/NPashaP> (released under GPL-3).
Author: Chris Terry [aut, cre]
Maintainer: Chris Terry <christerry3@btinternet.com>

Diff between bipartiteD3 versions 0.3.1 dated 2024-05-30 and 0.3.2 dated 2024-09-02

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Package altR2 updated to version 1.1.0 with previous version 1.0.0 dated 2019-09-23

Title: Alternative Estimators to Adjusted R-Squared
Description: Provides alternatives to the normal adjusted R-squared estimator for the estimation of the multiple squared correlation in regression models, as fitted by the lm() function. The alternative estimators are described in Karch (2020) <DOI:10.1525/collabra.343>.
Author: Julian Karch [aut, cre]
Maintainer: Julian Karch <j.d.karch@fsw.leidenuniv.nl>

Diff between altR2 versions 1.0.0 dated 2019-09-23 and 1.1.0 dated 2024-09-02

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Package plume updated to version 0.2.5 with previous version 0.2.4 dated 2024-05-10

Title: A Simple Author Handler for Scientific Writing
Description: Handles and formats author information in scientific writing in 'R Markdown' and 'Quarto'. 'plume' provides easy-to-use and flexible tools for injecting author metadata in 'YAML' headers as well as generating author and contribution lists (among others) as strings from tabular data.
Author: Arnaud Gallou [aut, cre, cph]
Maintainer: Arnaud Gallou <arangacas@gmail.com>

Diff between plume versions 0.2.4 dated 2024-05-10 and 0.2.5 dated 2024-09-02

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Package modelsummary updated to version 2.2.0 with previous version 2.1.1 dated 2024-06-14

Title: Summary Tables and Plots for Statistical Models and Data: Beautiful, Customizable, and Publication-Ready
Description: Create beautiful and customizable tables to summarize several statistical models side-by-side. Draw coefficient plots, multi-level cross-tabs, dataset summaries, balance tables (a.k.a. "Table 1s"), and correlation matrices. This package supports dozens of statistical models, and it can produce tables in HTML, LaTeX, Word, Markdown, PDF, PowerPoint, Excel, RTF, JPG, or PNG. Tables can easily be embedded in 'Rmarkdown' or 'knitr' dynamic documents. Details can be found in Arel-Bundock (2022) <doi:10.18637/jss.v103.i01>.
Author: Vincent Arel-Bundock [aut, cre, cph] , Joachim Gassen [ctb] , Nathan Eastwood [ctb], Nick Huntington-Klein [ctb] , Moritz Schwarz [ctb] , Benjamin Elbers [ctb] , Grant McDermott [ctb] , Lukas Wallrich [ctb]
Maintainer: Vincent Arel-Bundock <vincent.arel-bundock@umontreal.ca>

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 modelsummary-2.2.0/modelsummary/NAMESPACE                                                                 |    1 
 modelsummary-2.2.0/modelsummary/NEWS.md                                                                   |   15 
 modelsummary-2.2.0/modelsummary/R/coef_rename.R                                                           |    6 
 modelsummary-2.2.0/modelsummary/R/datasummary.R                                                           |   10 
 modelsummary-2.2.0/modelsummary/R/datasummary_balance.R                                                   |   17 
 modelsummary-2.2.0/modelsummary/R/datasummary_correlation.R                                               |   10 
 modelsummary-2.2.0/modelsummary/R/datasummary_crosstab.R                                                  |    7 
 modelsummary-2.2.0/modelsummary/R/datasummary_df.R                                                        |    8 
 modelsummary-2.2.0/modelsummary/R/datasummary_extract.R                                                   |    2 
 modelsummary-2.2.0/modelsummary/R/datasummary_skim.R                                                      |   13 
 modelsummary-2.2.0/modelsummary/R/escape.R                                                                |    9 
 modelsummary-2.2.0/modelsummary/R/factory.R                                                               |   36 +-
 modelsummary-2.2.0/modelsummary/R/factory_dataframe.R                                                     |    7 
 modelsummary-2.2.0/modelsummary/R/factory_flextable.R                                                     |   22 -
 modelsummary-2.2.0/modelsummary/R/factory_gt.R                                                            |   20 -
 modelsummary-2.2.0/modelsummary/R/factory_huxtable.R                                                      |   14 
 modelsummary-2.2.0/modelsummary/R/factory_kableExtra.R                                                    |   65 ++-
 modelsummary-2.2.0/modelsummary/R/factory_markdown.R                                                      |    8 
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 modelsummary-2.2.0/modelsummary/R/fmt_factory.R                                                           |   90 ++++-
 modelsummary-2.2.0/modelsummary/R/get_gof.R                                                               |    7 
 modelsummary-2.2.0/modelsummary/R/modelsummary.R                                                          |   31 +
 modelsummary-2.2.0/modelsummary/R/modelsummary_rbind.R                                                    |   16 
 modelsummary-2.2.0/modelsummary/R/sanitize_output.R                                                       |    5 
 modelsummary-2.2.0/modelsummary/R/span.R                                                                  |    4 
 modelsummary-2.2.0/modelsummary/R/stars.R                                                                 |   10 
 modelsummary-2.2.0/modelsummary/R/utils_pad.R                                                             |    8 
 modelsummary-2.2.0/modelsummary/build/partial.rdb                                                         |binary
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 modelsummary-2.2.0/modelsummary/inst/tinytest/helpers.R                                                   |    7 
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 modelsummary-2.2.0/modelsummary/inst/tinytest/test-datasummary_correlation.R                              |   10 
 modelsummary-2.2.0/modelsummary/inst/tinytest/test-escape.R                                               |    6 
 modelsummary-2.2.0/modelsummary/inst/tinytest/test-gt.R                                                   |   74 ++--
 modelsummary-2.2.0/modelsummary/inst/tinytest/test-html.R                                                 |    4 
 modelsummary-2.2.0/modelsummary/inst/tinytest/test-mathmode.R                                             |    9 
 modelsummary-2.2.0/modelsummary/inst/tinytest/test-stars.R                                                |   10 
 modelsummary-2.2.0/modelsummary/man/coef_rename.Rd                                                        |    3 
 modelsummary-2.2.0/modelsummary/man/datasummary_balance.Rd                                                |    2 
 modelsummary-2.2.0/modelsummary/man/datasummary_correlation.Rd                                            |    2 
 modelsummary-2.2.0/modelsummary/man/datasummary_correlation_format.Rd                                     |    2 
 modelsummary-2.2.0/modelsummary/man/escape_string.Rd                                                      |    2 
 modelsummary-2.2.0/modelsummary/man/fmt_equivalence.Rd                                                    |only
 modelsummary-2.2.0/modelsummary/man/get_estimates.Rd                                                      |    2 
 modelsummary-2.2.0/modelsummary/man/get_gof.Rd                                                            |    2 
 modelsummary-2.2.0/modelsummary/man/get_vcov.Rd                                                           |    2 
 modelsummary-2.2.0/modelsummary/man/get_vcov.mlm.Rd                                                       |    2 
 modelsummary-2.2.0/modelsummary/man/modelplot.Rd                                                          |    2 
 modelsummary-2.2.0/modelsummary/man/modelsummary.Rd                                                       |    4 
 modelsummary-2.2.0/modelsummary/man/msummary.Rd                                                           |    4 
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New package maxstablePCA with initial version 0.1.0
Title: Apply a PCA Like Procedure Suited for Multivariate Extreme Value Distributions
Package: maxstablePCA
Description: Dimension reduction for multivariate data of extreme events with a PCA like procedure as described in Reinbott, Janßen, (2024), <doi:10.48550/arXiv.2408.10650>. Tools for necessary transformations of the data are provided.
Version: 0.1.0
Maintainer: Felix Reinbott <felix.reinbott@ovgu.de>
Depends: R (>= 3.0.1)
License: MIT + file LICENSE
Imports: nloptr
Suggests: testthat, evd, mev
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2024-08-28 12:08:22 UTC; reinbott
Author: Felix Reinbott [aut, cre]
Repository: CRAN
Date/Publication: 2024-09-02 21:40:07 UTC

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New package imt with initial version 1.0.0
Package: imt
Title: Impact Measurement Toolkit
Version: 1.0.0
Description: A toolkit for causal inference in experimental and observational studies. Implements various simple Bayesian models including linear, negative binomial, and logistic regression for impact estimation. Provides functionality for randomization and checking baseline equivalence in experimental designs. The package aims to simplify the process of impact measurement for researchers and analysts across different fields. Examples and detailed usage instructions are available at <https://book.martinez.fyi>.
License: Apache License (>= 2.0)
Encoding: UTF-8
Biarch: true
Depends: R (>= 3.4.0)
Imports: R6, bayesplot, caret, dplyr, ggplot2, glue, magrittr, methods, Rcpp, RcppParallel, rlang, rstan, rstantools, tibble, tidyr, vizdraws, purrr, scales, tidyselect
LinkingTo: BH (>= 1.66.0), Rcpp (>= 0.12.0), RcppEigen (>= 0.3.3.3.0), RcppParallel (>= 5.0.1), rstan (>= 2.18.1), StanHeaders (>= 2.18.0)
Suggests: knitr, rmarkdown, roxygen2, testthat
SystemRequirements: GNU make
URL: https://github.com/google/imt
BugReports: https://github.com/google/imt/issues
NeedsCompilation: yes
Packaged: 2024-08-28 13:19:01 UTC; ignacio
Author: Ignacio Martinez [aut, cre]
Maintainer: Ignacio Martinez <martinezig@google.com>
Repository: CRAN
Date/Publication: 2024-09-02 21:40:10 UTC

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New package eCerto with initial version 0.5.14
Package: eCerto
Title: Statistical Tests for the Production of Reference Materials
Version: 0.5.14
Date: 2024-08-27
Maintainer: Jan Lisec <jan.lisec@bam.de>
Description: The production of certified reference materials (CRMs) requires various statistical tests depending on the task and recorded data to ensure that reported values of CRMs are appropriate. Often these tests are performed according to the procedures described in 'ISO GUIDE 35:2017'. The 'eCerto' package contains a 'Shiny' app which provides functionality to load, process, report and backup data recorded during CRM production and facilitates following the recommended procedures. It is described in Lisec et al (2023) <doi:10.1007/s00216-023-05099-3> and can also be accessed online <https://apps.bam.de/shn00/eCerto/> without package installation.
URL: https://github.com/janlisec/eCerto
BugReports: https://github.com/janlisec/eCerto/issues
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
LazyData: true
LazyDataCompression: bzip2
Depends: R (>= 3.5.0)
Imports: bslib, config, DT, golem, knitr, magick, markdown (>= 1.5.0), moments, openxlsx, plyr, purrr, R6, rmarkdown, shiny, shinyjs, shinyWidgets, tidyxl
Suggests: covr, curl, fs, jsonlite, shinytest2, testthat (>= 3.0.0), vdiffr, webshot2
NeedsCompilation: no
Packaged: 2024-08-28 10:53:49 UTC; jlisec
Author: Jan Lisec [cre, aut] , Frederik Kress [ctb]
Repository: CRAN
Date/Publication: 2024-09-02 21:40:15 UTC

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New package EBcoBART with initial version 1.0.1
Package: EBcoBART
Title: Co-Data Learning for Bayesian Additive Regression Trees
Version: 1.0.1
Description: Estimate prior variable weights for Bayesian Additive Regression Trees (BART). These weights correspond to the probabilities of the variables being selected in the splitting rules of the sum-of-trees. Weights are estimated using empirical Bayes and external information on the explanatory variables (co-data). BART models are fitted using the 'dbarts' 'R' package. See Goedhart and others (2023) <doi:10.48550/arXiv.2311.09997> for details.
License: GPL (>= 3)
Encoding: UTF-8
URL: https://github.com/JeroenGoedhart/EBcoBART
Imports: dbarts, loo, posterior, univariateML, extraDistr
Depends: R (>= 2.10)
LazyData: true
NeedsCompilation: no
Packaged: 2024-08-28 18:09:38 UTC; VNOB-0732
Author: Jeroen M. Goedhart [aut, cre, cph] , Thomas Klausch [aut], Mark A. van de Wiel [aut], Vincent Dorie [ctb] , Hanarth Fonds [fnd]
Maintainer: Jeroen M. Goedhart <jeroengoed@gmail.com>
Repository: CRAN
Date/Publication: 2024-09-02 21:50:02 UTC

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New package box.lsp with initial version 0.1.0
Package: box.lsp
Title: Provides 'box' Compatibility for 'languageserver'
Version: 0.1.0
Description: A 'box' compatible custom language parser for the 'languageserver' package to provide completion and signature hints in code editors.
URL: https://github.com/Appsilon/box.lsp
License: LGPL (>= 3)
Encoding: UTF-8
Imports: box, cli, fs, rlang
Suggests: languageserver, lintr, magrittr, mockery, purrr, rprojroot, stringi, stringr, testthat (>= 3.0.0), withr
NeedsCompilation: no
Packaged: 2024-08-28 13:07:05 UTC; kuba
Author: Ricardo Rodrigo Basa [aut, cre], Pavel Demin [aut], Jakub Nowicki [aut], Appsilon Sp. z o.o. [cph]
Maintainer: Ricardo Rodrigo Basa <opensource+rodrigo@appsilon.com>
Repository: CRAN
Date/Publication: 2024-09-02 21:40:19 UTC

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Package sketchy updated to version 1.0.4 with previous version 1.0.3 dated 2024-04-20

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

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Package HLAtools updated to version 1.2.0 with previous version 1.1.1 dated 2024-07-26

Title: Toolkit for HLA Immunogenomics
Description: A toolkit for the analysis and management of data for genes in the so-called "Human Leukocyte Antigen" (HLA) region. Functions extract reference data from the Anthony Nolan HLA Informatics Group/ImmunoGeneTics HLA 'GitHub' repository (ANHIG/IMGTHLA) <https://github.com/ANHIG/IMGTHLA>, validate Genotype List (GL) Strings, convert between UNIFORMAT and GL String Code (GLSC) formats, translate HLA alleles and GLSCs across ImmunoPolymorphism Database (IPD) IMGT/HLA Database release versions, identify differences between pairs of alleles at a locus, generate customized, multi-position sequence alignments, trim and convert allele-names across nomenclature epochs, and extend existing data-analysis methods.
Author: Livia Tran [aut], Ryan Nickens [aut], Leamon Crooms IV [aut], Derek Pappas [aut], Vinh Luu [ctb], Josh Bredeweg [ctb], Steven Mack [aut, cre]
Maintainer: Steven Mack <Steven.Mack@ucsf.edu>

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Package exams2sakai updated to version 0.4 with previous version 0.3 dated 2021-04-22

Title: Automatic Generation of Exams in R for 'Sakai'
Description: Automatic Generation of Exams in R for 'Sakai'. Question templates in the form of the 'exams' package (see <https://www.r-exams.org/>) are transformed into XML format required by 'Sakai'.
Author: Fuensanta Arnaldos Garcia [aut], Maria Victoria Caballero Pintado [aut], Úrsula Faura Martinez [aut], Maria Teresa Diaz Delfa [aut], Jesus Maria Mendez Perez [aut, cre], Lourdes Molera Peris [aut], Jose Antonio Palazon Ferrando [aut], Juan Jose Perez [...truncated...]
Maintainer: Jesus Maria Mendez Perez <jesus.mendez@ticarum.es>

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Package APCI updated to version 1.0.8 with previous version 1.0.7 dated 2024-01-30

Title: A New Age-Period-Cohort Model for Describing and Investigating Inter-Cohort Differences and Life Course Dynamics
Description: It implemented Age-Period-Interaction Model (APC-I Model) proposed in the paper of Liying Luo and James S. Hodges in 2019. A new age-period-cohort model for describing and investigating inter-cohort differences and life course dynamics.
Author: Jiahui Xu [aut, cre], Liying Luo [aut]
Maintainer: Jiahui Xu <jpx5053@psu.edu>

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Package EGAnet updated to version 2.0.7 with previous version 2.0.6 dated 2024-04-22

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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Package ncvreg updated to version 3.14.3 with previous version 3.14.2 dated 2024-04-20

Title: Regularization Paths for SCAD and MCP Penalized Regression Models
Description: Fits regularization paths for linear regression, GLM, and Cox regression models using lasso or nonconvex penalties, in particular the minimax concave penalty (MCP) and smoothly clipped absolute deviation (SCAD) penalty, with options for additional L2 penalties (the "elastic net" idea). Utilities for carrying out cross-validation as well as post-fitting visualization, summarization, inference, and prediction are also provided. For more information, see Breheny and Huang (2011) <doi:10.1214/10-AOAS388> or visit the ncvreg homepage <https://pbreheny.github.io/ncvreg/>.
Author: Patrick Breheny [aut, cre]
Maintainer: Patrick Breheny <patrick-breheny@uiowa.edu>

Diff between ncvreg versions 3.14.2 dated 2024-04-20 and 3.14.3 dated 2024-09-02

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Package amadeus updated to version 1.0.7 with previous version 1.0.6 dated 2024-08-27

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

Diff between amadeus versions 1.0.6 dated 2024-08-27 and 1.0.7 dated 2024-09-02

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Package quickcode updated to version 1.0.0 with previous version 0.9.1 dated 2024-07-26

Title: Quick and Essential 'R' Tricks for Better Scripts
Description: The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to improve your scripts. Improve the quality and reproducibility of 'R' scripts.
Author: Obinna Obianom [aut, cre], Brice Richard [aut]
Maintainer: Obinna Obianom <idonshayo@gmail.com>

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Package performance updated to version 0.12.3 with previous version 0.12.2 dated 2024-07-18

Title: Assessment of Regression Models Performance
Description: Utilities for computing measures to assess model quality, which are not directly provided by R's 'base' or 'stats' packages. These include e.g. measures like r-squared, intraclass correlation coefficient (Nakagawa, Johnson & Schielzeth (2017) <doi:10.1098/rsif.2017.0213>), root mean squared error or functions to check models for overdispersion, singularity or zero-inflation and more. Functions apply to a large variety of regression models, including generalized linear models, mixed effects models and Bayesian models. References: Lüdecke et al. (2021) <doi:10.21105/joss.03139>.
Author: Daniel Luedecke [aut, cre] , Dominique Makowski [aut, ctb] , Mattan S. Ben-Shachar [aut, ctb] , Indrajeet Patil [aut, ctb] , Philip Waggoner [aut, ctb] , Brenton M. Wiernik [aut, ctb] , Remi Theriault [aut, ctb] , Vincent Arel-Bundock [ctb] , Martin J [...truncated...]
Maintainer: Daniel Luedecke <d.luedecke@uke.de>

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Package tidyquant updated to version 1.0.9 with previous version 1.0.8 dated 2024-08-19

Title: Tidy Quantitative Financial Analysis
Description: Bringing business and financial analysis to the 'tidyverse'. The 'tidyquant' package provides a convenient wrapper to various 'xts', 'zoo', 'quantmod', 'TTR' and 'PerformanceAnalytics' package functions and returns the objects in the tidy 'tibble' format. The main advantage is being able to use quantitative functions with the 'tidyverse' functions including 'purrr', 'dplyr', 'tidyr', 'ggplot2', 'lubridate', etc. See the 'tidyquant' website for more information, documentation and examples.
Author: Matt Dancho [aut, cre], Davis Vaughan [aut]
Maintainer: Matt Dancho <mdancho@business-science.io>

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Package surveillance updated to version 1.23.1 with previous version 1.23.0 dated 2024-05-04

Title: Temporal and Spatio-Temporal Modeling and Monitoring of Epidemic Phenomena
Description: Statistical methods for the modeling and monitoring of time series of counts, proportions and categorical data, as well as for the modeling of continuous-time point processes of epidemic phenomena. The monitoring methods focus on aberration detection in count data time series from public health surveillance of communicable diseases, but applications could just as well originate from environmetrics, reliability engineering, econometrics, or social sciences. The package implements many typical outbreak detection procedures such as the (improved) Farrington algorithm, or the negative binomial GLR-CUSUM method of Hoehle and Paul (2008) <doi:10.1016/j.csda.2008.02.015>. A novel CUSUM approach combining logistic and multinomial logistic modeling is also included. The package contains several real-world data sets, the ability to simulate outbreak data, and to visualize the results of the monitoring in a temporal, spatial or spatio-temporal fashion. A recent overview of the available mon [...truncated...]
Author: Michael Hoehle [aut, ths] , Sebastian Meyer [aut, cre] , Michaela Paul [aut], Leonhard Held [ctb, ths], Howard Burkom [ctb], Thais Correa [ctb], Mathias Hofmann [ctb], Christian Lang [ctb], Juliane Manitz [ctb], Sophie Reichert [ctb], Andrea Riebler [...truncated...]
Maintainer: Sebastian Meyer <seb.meyer@fau.de>

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Package cyclestreets updated to version 1.0.2 with previous version 1.0.1 dated 2023-08-15

Title: Cycle Routing and Data for Cycling Advocacy
Description: An interface to the cycle routing/data services provided by 'CycleStreets', a not-for-profit social enterprise and advocacy organisation. The application programming interfaces (APIs) provided by 'CycleStreets' are documented at (<https://www.cyclestreets.net/api/>). The focus of this package is the journey planning API, which aims to emulate the routes taken by a knowledgeable cyclist. An innovative feature of the routing service of its provision of fastest, quietest and balanced profiles. These represent routes taken to minimise time, avoid traffic and compromise between the two, respectively.
Author: Robin Lovelace [aut, cre] , Martin Lucas-Smith [aut], Eric Krueger [ctb], Joey Talbot [aut] , Malcolm Morgan [ctb]
Maintainer: Robin Lovelace <rob00x@gmail.com>

Diff between cyclestreets versions 1.0.1 dated 2023-08-15 and 1.0.2 dated 2024-09-02

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Package iMRMC updated to version 2.1.0 with previous version 2.0.0 dated 2024-05-23

Title: Multi-Reader, Multi-Case Analysis Methods (ROC, Agreement, and Other Metrics)
Description: This software does Multi-Reader, Multi-Case (MRMC) analyses of data from imaging studies where clinicians (readers) evaluate patient images (cases). What does this mean? ... Many imaging studies are designed so that every reader reads every case in all modalities, a fully-crossed study. In this case, the data is cross-correlated, and we consider the readers and cases to be cross-correlated random effects. An MRMC analysis accounts for the variability and correlations from the readers and cases when estimating variances, confidence intervals, and p-values. The functions in this package can treat arbitrary study designs and studies with missing data, not just fully-crossed study designs. An overview of this software, including references presenting details on the methods, can be found here: <https://www.fda.gov/medical-devices/science-and-research-medical-devices/imrmc-software-do-multi-reader-multi-case-statistical-analysis-reader-studies>.
Author: Brandon Gallas [aut, cre]
Maintainer: Brandon Gallas <Brandon.Gallas@fda.hhs.gov>

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Package crypto2 updated to version 2.0.2 with previous version 2.0.1 dated 2024-07-03

Title: Download Crypto Currency Data from 'CoinMarketCap' without 'API'
Description: Retrieves crypto currency information and historical prices as well as information on the exchanges they are listed on. Historical data contains daily open, high, low and close values for all crypto currencies. All data is scraped from <https://coinmarketcap.com> via their 'web-api'.
Author: Sebastian Stoeckl [aut, cre] , Jesse Vent [ctb]
Maintainer: Sebastian Stoeckl <sebastian.stoeckl@uni.li>

Diff between crypto2 versions 2.0.1 dated 2024-07-03 and 2.0.2 dated 2024-09-02

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New package strs with initial version 0.1.0
Package: strs
Title: 'Python' Style String Functions
Version: 0.1.0
Description: A comprehensive set of string manipulation functions based on those found in 'Python' without relying on 'reticulate'. It provides functions that intend to (1) make it easier for users familiar with 'Python' to work with strings, (2) reduce the complexity often associated with string operations, (3) and enable users to write more readable and maintainable code that manipulates strings.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: stringi
Suggests: testthat (>= 3.0.0)
URL: https://github.com/pythonicr/strs, https://pythonicr.github.io/strs/
BugReports: https://github.com/pythonicr/strs/issues
NeedsCompilation: no
Packaged: 2024-08-27 22:02:37 UTC; garrettshipley
Author: Garrett Shipley [aut, cre]
Maintainer: Garrett Shipley <garrett.shipley7@gmail.com>
Repository: CRAN
Date/Publication: 2024-09-02 14:30:02 UTC

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New package re with initial version 0.1.0
Package: re
Title: 'Python' Style Regular Expression Functions
Version: 0.1.0
Description: A comprehensive set of regular expression functions based on those found in 'Python' without relying on 'reticulate'. It provides functions that intend to (1) make it easier for users familiar with 'Python' to work with regular expressions, (2) reduce the complexity often associated with regular expressions code, (3) and enable users to write more readable and maintainable code that relies on regular expression-based pattern matching.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: stringi
URL: https://pythonicr.github.io/re/, https://github.com/pythonicr/re
BugReports: https://github.com/pythonicr/re/issues
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2024-08-27 21:39:17 UTC; garrettshipley
Author: Garrett Shipley [aut, cre]
Maintainer: Garrett Shipley <garrett.shipley7@gmail.com>
Repository: CRAN
Date/Publication: 2024-09-02 14:30:07 UTC

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Package PHeval updated to version 1.1 with previous version 1.0 dated 2024-08-27

Title: Evaluation of the Proportional Hazards Assumption and Test for Comparing Survival Curves with a Standardized Score Process
Description: Provides tools for the test for the comparison of survival curves, the evaluation of the goodness-of-fit and the predictive capacity of the proportional hazards model.
Author: Cecile Chauvel [aut, cre]
Maintainer: Cecile Chauvel <cecile.chauvel@univ-lyon1.fr>

Diff between PHeval versions 1.0 dated 2024-08-27 and 1.1 dated 2024-09-02

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New package GmooG with initial version 0.7
Package: GmooG
Title: Datasets for the Book 'Getting (more out of) Graphics'
Version: 0.7
Description: Datasets analysed in the book Antony Unwin (2024, ISBN:978-0367674007) "Getting (more out of) Graphics".
Depends: R (>= 3.5)
License: GPL (>= 2)
Suggests: tidyverse
NeedsCompilation: no
Packaged: 2024-08-28 08:53:02 UTC; antonyunwin2
Author: Antony Unwin [aut, cre, cph]
Maintainer: Antony Unwin <unwin@math.uni-augsburg.de>
Repository: CRAN
Date/Publication: 2024-09-02 15:00:02 UTC

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Package corporaexplorer updated to version 0.9.0 with previous version 0.8.6 dated 2022-06-20

Title: A 'Shiny' App for Exploration of Text Collections
Description: Facilitates dynamic exploration of text collections through an intuitive graphical user interface and the power of regular expressions. The package contains 1) a helper function to convert a data frame to a 'corporaexplorerobject' and 2) a 'Shiny' app for fast and flexible exploration of a 'corporaexplorerobject'. The package also includes demo apps with which one can explore Jane Austen's novels and the State of the Union Addresses (data from the 'janeaustenr' and 'sotu' packages respectively).
Author: Kristian Lundby Gjerde [aut, cre]
Maintainer: Kristian Lundby Gjerde <kristian.gjerde@gmail.com>

Diff between corporaexplorer versions 0.8.6 dated 2022-06-20 and 0.9.0 dated 2024-09-02

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 corporaexplorer-0.9.0/corporaexplorer/NEWS.md                                                                       |   29 +
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 corporaexplorer-0.9.0/corporaexplorer/R/run_document_extractor.R                                                    |    9 
 corporaexplorer-0.9.0/corporaexplorer/R/zzz.R                                                                       |   11 
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 corporaexplorer-0.9.0/corporaexplorer/data/test_data.rda                                                            |binary
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 corporaexplorer-0.9.0/corporaexplorer/inst/download/global/config_tests.R                                           |    4 
 corporaexplorer-0.9.0/corporaexplorer/inst/download/rmd/report-render.Rmd                                           |   18 
 corporaexplorer-0.9.0/corporaexplorer/inst/download/server/function_corpus_info.R                                   |    2 
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 corporaexplorer-0.9.0/corporaexplorer/inst/explorer/config/config.R                                                 |    7 
 corporaexplorer-0.9.0/corporaexplorer/inst/explorer/config/config_tests.R                                           |    6 
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 corporaexplorer-0.9.0/corporaexplorer/inst/explorer/global/function_display_document_info.R                         |    2 
 corporaexplorer-0.9.0/corporaexplorer/inst/explorer/global/function_filter_corpus.R                                 |   19 -
 corporaexplorer-0.9.0/corporaexplorer/inst/explorer/global/function_plot_size.R                                     |    6 
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 corporaexplorer-0.9.0/corporaexplorer/inst/explorer/global/function_visualise_document.R                            |    4 
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 corporaexplorer-0.9.0/corporaexplorer/inst/explorer/server/functions_ui_management.R                                |    4 
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 corporaexplorer-0.9.0/corporaexplorer/man/run_document_extractor.Rd                                                 |    3 
 corporaexplorer-0.9.0/corporaexplorer/man/transform_regular.Rd                                                      |    8 
 corporaexplorer-0.9.0/corporaexplorer/tests/testthat/test_explorer_app.R                                            |   14 
 corporaexplorer-0.9.0/corporaexplorer/tests/testthat/test_extractor_app.R                                           |   16 
 corporaexplorer-0.9.0/corporaexplorer/tests/testthat/test_prep_func.R                                               |   11 
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Package spData updated to version 2.3.3 with previous version 2.3.1 dated 2024-05-31

Title: Datasets for Spatial Analysis
Description: Diverse spatial datasets for demonstrating, benchmarking and teaching spatial data analysis. It includes R data of class sf (defined by the package 'sf'), Spatial ('sp'), and nb ('spdep'). Unlike other spatial data packages such as 'rnaturalearth' and 'maps', it also contains data stored in a range of file formats including GeoJSON, ESRI Shapefile and GeoPackage. Some of the datasets are designed to illustrate specific analysis techniques. cycle_hire() and cycle_hire_osm(), for example, is designed to illustrate point pattern analysis techniques.
Author: Roger Bivand [aut] , Jakub Nowosad [aut, cre] , Robin Lovelace [aut] , Angelos Mimis [ctb], Mark Monmonier [ctb] , Greg Snow [ctb]
Maintainer: Jakub Nowosad <nowosad.jakub@gmail.com>

Diff between spData versions 2.3.1 dated 2024-05-31 and 2.3.3 dated 2024-09-02

 DESCRIPTION                |    8 ++++----
 MD5                        |   16 +++++++++-------
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Package MacBehaviour updated to version 1.2.6 with previous version 1.2.4 dated 2024-07-01

Title: Behavioural Studies of Large Language Models
Description: Efficient way to design and conduct psychological experiments for testing the performance of large language models. It simplifies the process of setting up experiments and data collection via language models’ API, facilitating a smooth workflow for researchers in the field of machine behaviour.
Author: Xufeng Duan [aut, cre], Shixuan Li [aut], Zhenguang Cai [aut]
Maintainer: Xufeng Duan <dxfdxfdxf88@gmail.com>

Diff between MacBehaviour versions 1.2.4 dated 2024-07-01 and 1.2.6 dated 2024-09-02

 DESCRIPTION       |   21 -
 MD5               |   14 
 NEWS.md           |    4 
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 README.md         |   64 ++-
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 8 files changed, 727 insertions(+), 636 deletions(-)

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New package TreatmentPatterns with initial version 2.6.9
Package: TreatmentPatterns
Title: Analyzes Real-World Treatment Patterns of a Study Population of Interest
Version: 2.6.9
Maintainer: Maarten van Kessel <m.l.vankessel@erasmusmc.nl>
Description: Computes treatment patterns within a given cohort using the Observational Medical Outcomes Partnership (OMOP) common data model (CDM). As described in Markus, Verhamme, Kors, and Rijnbeek (2022) <doi:10.1016/j.cmpb.2022.107081>.
URL: https://github.com/darwin-eu/TreatmentPatterns
BugReports: https://github.com/darwin-eu/TreatmentPatterns/issues
Language: en-US
Depends: R (>= 4.2)
Imports: checkmate, dplyr, stringr, utils, stats, Andromeda, tidyr, R6, sunburstR, networkD3, htmlwidgets, shiny, shinydashboard
Suggests: knitr, rmarkdown, tibble, testthat (>= 3.0.0), usethis, Eunomia, CDMConnector, DatabaseConnector (>= 6.0.0), SqlRender, CohortGenerator, webshot2, CirceR, duckdb, DBI, withr, plotly, ggplot2, Capr
License: Apache License 2.0
Encoding: UTF-8
VignetteBuilder: knitr
Additional_repositories: https://ohdsi.github.io/drat
NeedsCompilation: no
Packaged: 2024-09-02 09:13:33 UTC; mvankessel
Author: Aniek Markus [aut] , Maarten van Kessel [cre]
Repository: CRAN
Date/Publication: 2024-09-02 12:40:06 UTC

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New package ropenmeteo with initial version 0.1
Package: ropenmeteo
Title: Wrappers for 'Open-Meteo' API
Version: 0.1
Description: Wrappers for the Application Programming Interface from the <https://open-meteo.com> project along with helper functions. The <https://open-meteo.com> project streamlines access to a range of publicly historical and forecast meteorology data from agencies across the world.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: stringr, dplyr, tidyr, purrr, lubridate, glue, imputeTS, httr2, jsonlite
Suggests: ggplot2, knitr, rmarkdown, testthat (>= 3.0.0), readr, tibble, spelling
VignetteBuilder: knitr
Language: en-US
URL: http://flare-forecast.org/ropenmeteo/
BugReports: https://github.com/flare-forecast/ropenmeteo/issues
NeedsCompilation: no
Packaged: 2024-08-27 15:32:07 UTC; rqthomas
Author: Quinn Thomas [aut, cre, cph]
Maintainer: Quinn Thomas <rqthomas@vt.edu>
Repository: CRAN
Date/Publication: 2024-09-02 12:10:02 UTC

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New package rice with initial version 0.1.1
Package: rice
Title: Radiocarbon Calibration Equations
Version: 0.1.1
Date: 2024-08-27
Author: Maarten Blaauw [aut, cre]
Maintainer: Maarten Blaauw <maarten.blaauw@qub.ac.uk>
Description: Provides functions for the calibration of radiocarbon dates, as well as options to calculate different radiocarbon realms (C14 age, F14C, pMC, D14C) and estimating the effects of contamination. The methods follow long-established recommendations such as Stuiver and Polach (1977) <doi:10.1017/S0033822200003672> and Reimer et al. (2004) <doi:10.1017/S0033822200033154>. This package accompanies the data package 'rintcal'.
License: GPL (>= 2)
Encoding: UTF-8
Imports: rintcal (>= 0.6.4), data.table, jsonlite
Suggests: knitr, rmarkdown, utf8
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-08-27 17:23:08 UTC; maarten
Repository: CRAN
Date/Publication: 2024-09-02 12:30:02 UTC

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Package raters updated to version 2.1.1 with previous version 2.1.0 dated 2024-07-18

Title: A Modification of Fleiss' Kappa in Case of Nominal and Ordinal Variables
Description: The kappa statistic implemented by Fleiss is a very popular index for assessing the reliability of agreement among multiple observers. It is used both in the psychological and in the psychiatric field. Other fields of application are typically medicine, biology and engineering. Unfortunately,the kappa statistic may behave inconsistently in case of strong agreement between raters, since this index assumes lower values than it would have been expected. We propose a modification kappa implemented by Fleiss in case of nominal and ordinal variables. Monte Carlo simulations are used both to testing statistical hypotheses and to calculating percentile bootstrap confidence intervals based on proposed statistic in case of nominal and ordinal data.
Author: Daniele Giardiello [cre], Piero Quatto [aut], Enrico Ripamonti [aut], Stefano Vigliani [ctb]
Maintainer: Daniele Giardiello <daniele.giardiello1@gmail.com>

Diff between raters versions 2.1.0 dated 2024-07-18 and 2.1.1 dated 2024-09-02

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Package RandVar updated to version 1.2.4 with previous version 1.2.3 dated 2024-01-30

Title: Implementation of Random Variables
Description: Implements random variables by means of S4 classes and methods.
Author: Matthias Kohl [cre, cph, aut], Peter Ruckdeschel [aut, cph]
Maintainer: Matthias Kohl <Matthias.Kohl@stamats.de>

Diff between RandVar versions 1.2.3 dated 2024-01-30 and 1.2.4 dated 2024-09-02

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 MD5                     |   10 +-
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New package QuICSeedR with initial version 0.1.2
Package: QuICSeedR
Title: Analyze Data for Fluorophore-Assisted Seed Amplification Assays
Date: 2024-08-27
Version: 0.1.2
Depends: R (>= 4.1.0)
Copyright: Manci Li
Description: A toolkit for analysis and visualization of data from fluorophore-assisted seed amplification assays, such as Real-Time Quaking-Induced Conversion (RT-QuIC) and Fluorophore-Assisted Protein Misfolding Cyclic Amplification (PMCA). 'QuICSeedR' addresses limitations in existing software by automating data processing, supporting large-scale analysis, and enabling comparative studies of analysis methods. It incorporates methods described in Henderson et al. (2015) <doi:10.1099/vir.0.069906-0>, Li et al. (2020) <doi:10.1038/s41598-021-96127-8>, Rowden et al. (2023) <doi:10.3390/pathogens12020309>, Haley et al. (2013) <doi:10.1371/journal.pone.0081488>, and Mair and Wilcox (2020) <doi:10.3758/s13428-019-01246-w>. Please refer to the original publications for details.
Imports: WRS2, magrittr, graphics, stats, ggplot2, methods, dplyr, tidyr, tidyselect, rlang, readxl
License: GPL-3 | file LICENSE
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2024-08-27 15:09:24 UTC; manci
Author: Manci Li [aut, cre]
Maintainer: Manci Li <li000021@umn.edu>
Repository: CRAN
Date/Publication: 2024-09-02 12:20:05 UTC

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New package pakret with initial version 0.1.0
Package: pakret
Title: Cite 'R' Packages on the Fly in 'R Markdown' and 'Quarto'
Version: 0.1.0
Description: References and cites 'R' and 'R' packages on the fly in 'R Markdown' and 'Quarto'. 'pakret' provides a minimalistic API that generates preformatted citations of 'R' and 'R' packages, and adds their reference to a '.bib' file directly from within your document.
License: GPL (>= 3)
URL: https://arnaudgallou.github.io/pakret/, https://github.com/arnaudgallou/pakret
BugReports: https://github.com/arnaudgallou/pakret/issues
Depends: R (>= 3.6.0)
Imports: knitr, readr (>= 1.0.0), rmarkdown, utils, withr (>= 2.5.0)
Suggests: callr (>= 3.7.5), pkgload, testthat (>= 3.0.0), usethis
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-08-27 16:06:38 UTC; arnaudgallou
Author: Arnaud Gallou [aut, cre, cph]
Maintainer: Arnaud Gallou <arangacas@gmail.com>
Repository: CRAN
Date/Publication: 2024-09-02 12:20:02 UTC

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Package ipeaplot updated to version 0.4.0 with previous version 0.3.1 dated 2024-04-18

Title: Add Ipea Editorial Standards to 'ggplot2' Graphics
Description: Convenient functions to create 'ggplot2' graphics following the editorial guidelines of the Institute for Applied Economic Research (Ipea).
Author: Pedro Ferreira [aut, cre], Pedro Jorge [aut], Daniel Lima [aut], Gustavo Coelho [aut], Rafael H. M. Pereira [aut], Lucas Mation [aut], Fabio Vaz [ctb], Ipea - Institue for Applied Economic Research [cph, fnd]
Maintainer: Pedro Ferreira <pedro.ferreira2@ipea.gov.br>

Diff between ipeaplot versions 0.3.1 dated 2024-04-18 and 0.4.0 dated 2024-09-02

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New package GeoThinneR with initial version 1.0.0
Package: GeoThinneR
Title: Simple Spatial Thinning for Ecological and Spatial Analysis
Version: 1.0.0
Description: Provides efficient geospatial thinning algorithms to reduce the density of coordinate data while maintaining spatial relationships. Implements K-D Tree Approximate Nearest Neighbors (ANN), R-Tree, and brute force thinning methods. It uses a modified version of the R-tree structure from the 'rtree' package <https://github.com/akoyabio/rtree>. The modified version can be downloaded from <https://github.com/jmestret/rtree>. For more information on the methods, see Elseberg et al. (2012) <https://hdl.handle.net/10446/86202>.
License: MIT + file LICENSE
URL: https://github.com/jmestret/GeoThinneR, https://jmestret.github.io/GeoThinneR/
BugReports: https://github.com/jmestret/GeoThinneR/issues
Depends: R (>= 4.0.0)
Imports: data.table, fields, matrixStats, nabor, Rcpp, stats, terra
Suggests: ggplot2, knitr, rmarkdown, rtree, sf, testthat (>= 3.0.0), tibble
LinkingTo: Rcpp
VignetteBuilder: knitr
BuildVignettes: true
Encoding: UTF-8
Language: en-US
LazyData: true
NeedsCompilation: yes
Packaged: 2024-08-27 18:36:10 UTC; jorge
Author: Jorge Mestre-Tomas [aut, cre]
Maintainer: Jorge Mestre-Tomas <jorge.mestre.tomas@csic.es>
Repository: CRAN
Date/Publication: 2024-09-02 12:30:22 UTC

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New package EQUALSTATS with initial version 0.3.0
Package: EQUALSTATS
Title: Algorithm Driven Statistical Analysis for Researchers without Coding Skills
Version: 0.3.0
Date: 2024-08-27
Author: Kurinchi Gurusamy [aut, cre]
Maintainer: Kurinchi Gurusamy <k.gurusamy@ucl.ac.uk>
Depends: stringr, shiny, zip
Imports: ggplot2, DescTools, cowplot, boot, pwr, ggcorrplot, survival, nnet, MASS, lmtest, pROC, ThresholdROC, ggsurvfit, lme4, lmerTest, mclogit, ordinal, coxme, MuMIn
Description: Support functions for R-based 'EQUAL-STATS' software which automatically classifies the data and performs appropriate statistical tests. 'EQUAL-STATS' software is a shiny application with an user-friendly interface to perform complex statistical analysis. Gurusamy,K (2024)<doi:10.5281/zenodo.13354162>.
License: GPL (>= 3)
Encoding: UTF-8
URL: https://sites.google.com/view/equal-group/home
NeedsCompilation: no
Packaged: 2024-08-27 15:15:59 UTC; kurin
Repository: CRAN
Date/Publication: 2024-09-02 12:10:08 UTC

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New package EQUALrepeat with initial version 0.3.0
Package: EQUALrepeat
Title: Algorithm Driven Time Series Analysis for Researchers without Coding Skills
Version: 0.3.0
Date: 2024-08-20
Author: Kurinchi Gurusamy [aut, cre]
Maintainer: Kurinchi Gurusamy <k.gurusamy@ucl.ac.uk>
Depends: stringr, stats, ggplot2, DescTools
Imports: zip, cowplot, rstatix, irr, forecast, tseries, urca, vars, viridisLite
Description: Support functions for R-based 'EQUAL-STATS' software which automatically classifies the data and performs appropriate statistical tests. 'EQUAL-STATS' software is a shiny application with an user-friendly interface to perform complex statistical analysis. Gurusamy,K (2024)<doi:10.5281/zenodo.13354162>.
License: GPL (>= 3)
Encoding: UTF-8
URL: https://sites.google.com/view/equal-group/home
NeedsCompilation: no
Packaged: 2024-08-27 15:19:08 UTC; kurin
Repository: CRAN
Date/Publication: 2024-09-02 12:10:05 UTC

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Package datawizard updated to version 0.12.3 with previous version 0.12.2 dated 2024-07-20

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>

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Package admtools updated to version 0.3.1 with previous version 0.3.0 dated 2024-07-17

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

Diff between admtools versions 0.3.0 dated 2024-07-17 and 0.3.1 dated 2024-09-02

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Permanent link

New package wintime with initial version 0.1.0
Package: wintime
Title: Win Time Methods for Time-to-Event Data in Clinical Trials
Version: 0.1.0
Description: Performs an analysis of time-to-event clinical trial data using various "win time" methods, including 'ewt', 'ewtr', 'rmt', 'max', 'wtr', 'rwtr', and 'pwt'. These methods are used to calculate and compare treatment effects on ordered composite endpoints. The package handles event times, event indicators, and treatment arm indicators and supports calculations on observed and resampled data. Detailed explanations of each method and usage examples are provided in "Use of win time for ordered composite endpoints in clinical trials," by Troendle et al. (2024)<https://pubmed.ncbi.nlm.nih.gov/38417455/>. For more information, see the package documentation or the vignette titled "Introduction to wintime."
URL: https://pubmed.ncbi.nlm.nih.gov/38417455/
License: MIT + file LICENSE
Encoding: UTF-8
VignetteBuilder: knitr
Imports: survival
Suggests: testthat (>= 3.0.0), knitr, rmarkdown (>= 2.0)
Depends: R (>= 3.5.0)
NeedsCompilation: no
Packaged: 2024-08-27 14:17:34 UTC; troendlj
Author: James Troendle [aut, cre], Samuel Lawrence [aut]
Maintainer: James Troendle <james.troendle@nih.gov>
Repository: CRAN
Date/Publication: 2024-09-02 12:00:02 UTC

More information about wintime at CRAN
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New package TWW with initial version 0.0.1
Package: TWW
Title: Growth Models
Version: 0.0.1
Imports: stats
Description: A model for the growth of self-limiting populations using three, four, or five parameter functions, which have wide applications in a variety of fields. The dependent variable in a dynamical modeling could be the population size at time x, where x is the independent variable. In the analysis of quantitative polymerase chain reaction (qPCR), the dependent variable would be the fluorescence intensity and the independent variable the cycle number. This package then would calculate the TWW cycle threshold.
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-08-27 14:38:30 UTC; dwilus
Author: Mohammad Tabatabai [aut], Derek Wilus [aut, cre]
Maintainer: Derek Wilus <dwilus@mmc.edu>
Repository: CRAN
Date/Publication: 2024-09-02 12:00:12 UTC

More information about TWW at CRAN
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Package incidence2 updated to version 2.4.0 with previous version 2.3.1 dated 2024-05-31

Title: Compute, Handle and Plot Incidence of Dated Events
Description: Provides functions and classes to compute, handle and visualise incidence from dated events for a defined time interval. Dates can be provided in various standard formats. The class 'incidence2' is used to store computed incidence and can be easily manipulated, subsetted, and plotted. This package is part of the RECON (<https://www.repidemicsconsortium.org/>) toolkit for outbreak analysis (<https://www.reconverse.org>).
Author: Tim Taylor [aut, cre] , Thibaut Jombart [ctb]
Maintainer: Tim Taylor <tim.taylor@hiddenelephants.co.uk>

Diff between incidence2 versions 2.3.1 dated 2024-05-31 and 2.4.0 dated 2024-09-02

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New package dpasurv with initial version 0.1.0
Package: dpasurv
Title: Dynamic Path Analysis of Survival Data via Aalen's Additive Hazards Model
Version: 0.1.0
Maintainer: Matthias Kormaksson <mk375@cornell.edu>
Author: Novartis Pharma AG [cph], Matthias Kormaksson [aut, cre], Susanne Strohmaier [aut], Markus Lange [aut], David Demanse [aut]
Description: Dynamic path analysis with estimation of the corresponding direct, indirect, and total effects, based on Fosen et al., (2006) <doi:10.1007/s10985-006-9004-2>. The main outcome of interest is a counting process from survival analysis (or recurrent events) data. At each time of event, ordinary linear regression is used to estimate the relation between the covariates, while Aalen's additive hazard model is used for the regression of the counting process on the covariates.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.6.0)
Imports: dplyr (>= 0.8.3), tidyr (>= 0.8.3), rlang (>= 0.4.0), ggplot2 (>= 3.2.0), survival (>= 2.44.1.1), timereg (>= 1.9.4), methods
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: http://opensource.nibr.com/dpasurv/
NeedsCompilation: no
Packaged: 2024-08-27 14:26:19 UTC; kormama4
Repository: CRAN
Date/Publication: 2024-09-02 12:00:05 UTC

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New package cbbinom with initial version 0.1.0
Package: cbbinom
Title: Continuous Analog of a Beta-Binomial Distribution
Version: 0.1.0
Description: Implementation of the d/p/q/r family of functions for a continuous analog to the standard discrete beta-binomial with continuous size parameter and continuous support with x in [0, size + 1].
License: MIT + file LICENSE
Suggests: extraDistr, ggplot2, testthat (>= 3.0.0)
Encoding: UTF-8
LinkingTo: Rcpp
Imports: Rcpp
NeedsCompilation: yes
Packaged: 2024-08-27 14:49:32 UTC; Admin
Author: Xiurui Zhu [aut, cre]
Maintainer: Xiurui Zhu <zxr6@163.com>
Repository: CRAN
Date/Publication: 2024-09-02 12:00:08 UTC

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Package rusda (with last version 1.0.8) was removed from CRAN

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

2016-04-02 1.0.8
2015-11-13 1.0.6

Permanent link
Package ROptEst updated to version 1.3.4 with previous version 1.3.3 dated 2024-02-07

Title: Optimally Robust Estimation
Description: R infrastructure for optimally robust estimation in general smoothly parameterized models using S4 classes and methods as described Kohl, M., Ruckdeschel, P., and Rieder, H. (2010), <doi:10.1007/s10260-010-0133-0>, and in Rieder, H., Kohl, M., and Ruckdeschel, P. (2008), <doi:10.1007/s10260-007-0047-7>.
Author: Matthias Kohl [cre, cph] , Mykhailo Pupashenko [ctb] , Gerald Kroisandt [ctb] , Peter Ruckdeschel [aut, cph]
Maintainer: Matthias Kohl <Matthias.Kohl@stamats.de>

Diff between ROptEst versions 1.3.3 dated 2024-02-07 and 1.3.4 dated 2024-09-02

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Package RobAStBase updated to version 1.2.6 with previous version 1.2.5 dated 2024-02-02

Title: Robust Asymptotic Statistics
Description: Base S4-classes and functions for robust asymptotic statistics.
Author: Matthias Kohl [cre, cph, aut], Peter Ruckdeschel [aut, cph], Mykhailo Pupashenko [ctb] , Gerald Kroisandt [ctb] , R Core Team [ctb, cph]
Maintainer: Matthias Kohl <Matthias.Kohl@stamats.de>

Diff between RobAStBase versions 1.2.5 dated 2024-02-02 and 1.2.6 dated 2024-09-02

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Package mapme.biodiversity updated to version 0.9.1 with previous version 0.9.0 dated 2024-08-27

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, cre] , Om Prakash Bhandari [aut]
Maintainer: Darius A. Goergen <info@dariusgoergen.com>

Diff between mapme.biodiversity versions 0.9.0 dated 2024-08-27 and 0.9.1 dated 2024-09-02

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Package distrEx updated to version 2.9.5 with previous version 2.9.3 dated 2024-08-22

Title: Extensions of Package 'distr'
Description: Extends package 'distr' by functionals, distances, and conditional distributions.
Author: Matthias Kohl [cre, cph], Peter Ruckdeschel [aut, cph]
Maintainer: Matthias Kohl <Matthias.Kohl@stamats.de>

Diff between distrEx versions 2.9.3 dated 2024-08-22 and 2.9.5 dated 2024-09-02

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Package rfishbase updated to version 5.0.0 with previous version 4.1.2 dated 2023-06-02

Title: R Interface to 'FishBase'
Description: A programmatic interface to 'FishBase', re-written based on an accompanying 'RESTful' API. Access tables describing over 30,000 species of fish, their biology, ecology, morphology, and more. This package also supports experimental access to 'SeaLifeBase' data, which contains nearly 200,000 species records for all types of aquatic life not covered by 'FishBase.'
Author: Carl Boettiger [cre, aut] , Scott Chamberlain [aut] , Duncan Temple Lang [aut], Peter Wainwright [aut], Kevin Cazelles [ctb]
Maintainer: Carl Boettiger <cboettig@gmail.com>

Diff between rfishbase versions 4.1.2 dated 2023-06-02 and 5.0.0 dated 2024-09-02

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Package extrafrail updated to version 1.11 with previous version 1.10 dated 2024-06-16

Title: Estimation and Additional Tools for Alternative Shared Frailty Models
Description: Provide estimation and data generation tools for some new multivariate frailty models. This version includes the gamma, inverse Gaussian, weighted Lindley, Birnbaum-Saunders, truncated normal, mixture of inverse Gaussian and mixture of Birnbaum-Saunders as the distribution for the frailty terms. For the basal model, it is considered a parametric approach based on the exponential, Weibull and the piecewise exponential distributions as well as a semiparametric approach. For details, see Gallardo and Bourguignon (2022) <doi:10.48550/arXiv.2206.12973> and Gallardo et al. (2024) <doi:10.1007/s11222-024-10458-w>.
Author: Diego Gallardo [aut, cre], Marcelo Bourguignon [aut]
Maintainer: Diego Gallardo <dgallardo@ubiobio.cl>

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Package cpp11armadillo updated to version 0.3.3 with previous version 0.3.1 dated 2024-08-25

Title: An 'Armadillo' Interface
Description: Provides function declarations and inline function definitions that facilitate communication between R and the 'Armadillo' 'C++' library for linear algebra and scientific computing. This implementation is detailed in Vargas Sepulveda and Schneider Malamud (2024) <doi:10.48550/arXiv.2408.11074>.
Author: Mauricio Vargas Sepulveda [aut, cre] , Jonathan Schneider Malamud [ctb], Conrad Sanderson [aut] )
Maintainer: Mauricio Vargas Sepulveda <m.sepulveda@mail.utoronto.ca>

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Package strucchange updated to version 1.5-4 with previous version 1.5-3 dated 2022-06-15

Title: Testing, Monitoring, and Dating Structural Changes
Description: Testing, monitoring and dating structural changes in (linear) regression models. strucchange features tests/methods from the generalized fluctuation test framework as well as from the F test (Chow test) framework. This includes methods to fit, plot and test fluctuation processes (e.g., CUSUM, MOSUM, recursive/moving estimates) and F statistics, respectively. It is possible to monitor incoming data online using fluctuation processes. Finally, the breakpoints in regression models with structural changes can be estimated together with confidence intervals. Emphasis is always given to methods for visualizing the data.
Author: Achim Zeileis [aut, cre] , Friedrich Leisch [aut], Kurt Hornik [aut], Christian Kleiber [aut], Bruce Hansen [ctb], Edgar C. Merkle [ctb], Nikolaus Umlauf [ctb]
Maintainer: Achim Zeileis <Achim.Zeileis@R-project.org>

Diff between strucchange versions 1.5-3 dated 2022-06-15 and 1.5-4 dated 2024-09-02

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Package explore updated to version 1.3.2 with previous version 1.3.1 dated 2024-06-07

Title: Simplifies Exploratory Data Analysis
Description: Interactive data exploration with one line of code, automated reporting or use an easy to remember set of tidy functions for low code exploratory data analysis.
Author: Roland Krasser [aut, cre]
Maintainer: Roland Krasser <roland.krasser@gmail.com>

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Package slam updated to version 0.1-53 with previous version 0.1-52 dated 2024-07-31

Title: Sparse Lightweight Arrays and Matrices
Description: Data structures and algorithms for sparse arrays and matrices, based on index arrays and simple triplet representations, respectively.
Author: Kurt Hornik [aut, cre] , David Meyer [aut] , Christian Buchta [aut]
Maintainer: Kurt Hornik <Kurt.Hornik@R-project.org>

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Package skmeans updated to version 0.2-17 with previous version 0.2-16 dated 2023-09-23

Title: Spherical k-Means Clustering
Description: Algorithms to compute spherical k-means partitions. Features several methods, including a genetic and a fixed-point algorithm and an interface to the CLUTO vcluster program.
Author: Kurt Hornik [aut, cre] , Ingo Feinerer [aut] , Martin Kober [aut]
Maintainer: Kurt Hornik <Kurt.Hornik@R-project.org>

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Package gtfstools (with last version 1.2.0) was removed from CRAN

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

2022-11-24 1.2.0
2022-05-24 1.1.0
2021-11-16 1.0.0
2021-02-23 0.1.0

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Package gtfs2emis (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:

2022-11-14 0.1.0

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Package gtfs2gps (with last version 2.1-1) was removed from CRAN

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

2023-04-28 2.1-1
2022-08-16 2.1-0
2022-03-10 2.0-2
2022-03-05 2.0-1
2022-02-22 2.0-0

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Package cards updated to version 0.2.2 with previous version 0.2.1 dated 2024-08-17

Title: Analysis Results Data
Description: Construct CDISC (Clinical Data Interchange Standards Consortium) compliant Analysis Results Data objects. These objects are used and re-used to construct summary tables, visualizations, and written reports. The package also exports utilities for working with these objects and creating new Analysis Results Data objects.
Author: Daniel D. Sjoberg [aut, cre] , Becca Krouse [aut], Emily de la Rua [aut], F. Hoffmann-La Roche AG [cph, fnd], GlaxoSmithKline Research & Development Limited [cph]
Maintainer: Daniel D. Sjoberg <danield.sjoberg@gmail.com>

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