Tue, 27 Aug 2024

New package quanteda.textplots with initial version 0.95
Package: quanteda.textplots
Title: Plots for the Quantitative Analysis of Textual Data
Version: 0.95
Description: Plotting functions for visualising textual data. Extends 'quanteda' and related packages with plot methods designed specifically for text data, textual statistics, and models fit to textual data. Plot types include word clouds, lexical dispersion plots, scaling plots, network visualisations, and word 'keyness' plots.
License: GPL-3
Imports: quanteda, extrafont, ggplot2, ggrepel, grid, sna, igraph, Matrix, methods, network, RColorBrewer, Rcpp (>= 0.12.12), stringi
LinkingTo: Rcpp
Suggests: knitr, quanteda.textmodels, quanteda.textstats, rmarkdown, spelling, testthat, wordcloud
Encoding: UTF-8
BugReports: https://github.com/quanteda/quanteda.textplots/issues
Language: en-GB
NeedsCompilation: yes
Packaged: 2024-08-27 16:45:01 UTC; kbenoit
Author: Kenneth Benoit [cre, aut, cph] , Kohei Watanabe [aut] , Haiyan Wang [aut] , Adam Obeng [aut] , Stefan Mueller [aut] , Akitaka Matsuo [aut] , Ian Fellows [cph] ), European Research Council [fnd]
Maintainer: Kenneth Benoit <kbenoit@lse.ac.uk>
Repository: CRAN
Date/Publication: 2024-08-28 03:50:03 UTC

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New package ARDECO with initial version 2.0.0
Package: ARDECO
Title: Annual Regional Database of the European Commission (ARDECO)
Version: 2.0.0
Description: A set of functions to access the 'ARDECO' (Annual Regional Database of the European Commission) data directly from the official ARDECO public repository through the exploitation of the 'ARDECO' APIs. The APIs are completely transparent to the user and the provided functions provide a direct access to the 'ARDECO' data. The 'ARDECO' database is a collection of variables related to demography, employment, labour market, domestic product, capital formation. Each variable can be exposed in one or more units of measure as well as refers to total values plus economic sectors. The description of the 'ARDECO' database can be found at the following URL <https://urban.jrc.ec.europa.eu/ardeco>.
Depends: R (>= 4.2.0),
Imports: httr, ghql, rjstat, jsonlite, stringr, dplyr, tidyr
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2024-08-27 16:59:03 UTC; attar
Author: Carmelo Attardo [cre], Giuseppe Bucciarelli [aut], European Commission, JRC [cph]
Maintainer: Carmelo Attardo <carmelo.attardo@ec.europa.eu>
Repository: CRAN
Date/Publication: 2024-08-28 03:50:06 UTC

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Package VPdtw (with last version 2.1-14) was removed from CRAN

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

2022-07-14 2.1-14

Permanent link
Package aopdata updated to version 1.1.0 with previous version 1.0.3 dated 2023-08-31

Title: Data from the 'Access to Opportunities Project (AOP)'
Description: Download data from the 'Access to Opportunities Project (AOP)'. The 'aopdata' package brings annual estimates of access to employment, health, education and social assistance services by transport mode, as well as data on the spatial distribution of population, jobs, health care, schools and social assistance facilities at a fine spatial resolution for all cities included in the project. More info on the 'AOP' website <https://www.ipea.gov.br/acessooportunidades/en/>.
Author: Rafael H. M. Pereira [aut, cre] , Daniel Herszenhut [aut] , Marcus Saraiva [aut] , Carlos Kaue Vieira Braga [aut] , Diego Bogado Tomasiello [ctb], Joao Bazzo [ctb], Ipea - Institute for Applied Economic Research [cph, fnd]
Maintainer: Rafael H. M. Pereira <rafa.pereira.br@gmail.com>

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Package spmodel updated to version 0.8.0 with previous version 0.7.0 dated 2024-07-18

Title: Spatial Statistical Modeling and Prediction
Description: Fit, summarize, and predict for a variety of spatial statistical models applied to point-referenced and areal (lattice) data. Parameters are estimated using various methods. Additional modeling features include anisotropy, non-spatial random effects, partition factors, big data approaches, and more. Model-fit statistics are used to summarize, visualize, and compare models. Predictions at unobserved locations are readily obtainable. For additional details, see Dumelle et al. (2023) <doi:10.1371/journal.pone.0282524>.
Author: Michael Dumelle [aut, cre] , Matt Higham [aut] , Ryan A. Hill [ctb] , Michael Mahon [ctb] , Jay M. Ver Hoef [aut]
Maintainer: Michael Dumelle <Dumelle.Michael@epa.gov>

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Package harmony updated to version 1.2.1 with previous version 1.2.0 dated 2023-11-29

Title: Fast, Sensitive, and Accurate Integration of Single Cell Data
Description: Implementation of the Harmony algorithm for single cell integration, described in Korsunsky et al <doi:10.1038/s41592-019-0619-0>. Package includes a standalone Harmony function and interfaces to external frameworks.
Author: Ilya Korsunsky [cre, aut] , Martin Hemberg [aut] , Nikolaos Patikas [aut, ctb] , Hongcheng Yao [aut, ctb] , Nghia Millard [aut] , Jean Fan [aut, ctb] , Kamil Slowikowski [aut, ctb] , Miles Smith [ctb], Soumya Raychaudhuri [aut]
Maintainer: Ilya Korsunsky <ilya.korsunsky@gmail.com>

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Package marlod updated to version 0.1.1 with previous version 0.1.0 dated 2024-08-23

Title: Marginal Modeling for Exposure Data with Values Below the LOD
Description: Functions of marginal mean and quantile regression models are used to analyze environmental exposure and biomonitoring data with repeated measurements and non-detects, as well as longitudinal exposure data that include non-detects and time-dependent covariates.
Author: I-Chen Chen [cre, aut] , Philip Westgate [ctb], Liya Fu [ctb]
Maintainer: I-Chen Chen <okv0@cdc.gov>

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Package f1dataR updated to version 1.6.0 with previous version 1.5.3 dated 2024-05-01

Title: Access Formula 1 Data
Description: Obtain Formula 1 data via the 'Ergast API' <https://ergast.com/mrd/> and the unofficial API <https://www.formula1.com/en/timing/f1-live> via the 'fastf1' 'Python' library <https://docs.fastf1.dev/>.
Author: Santiago Casanova [aut, cre, cph], Philip Bulsink [aut]
Maintainer: Santiago Casanova <santiago.casanova@yahoo.com>

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Package QFASA updated to version 1.2.1 with previous version 1.2.0 dated 2023-11-16

Title: Quantitative Fatty Acid Signature Analysis
Description: Accurate estimates of the diets of predators are required in many areas of ecology, but for many species current methods are imprecise, limited to the last meal, and often biased. The diversity of fatty acids and their patterns in organisms, coupled with the narrow limitations on their biosynthesis, properties of digestion in monogastric animals, and the prevalence of large storage reservoirs of lipid in many predators, led to the development of quantitative fatty acid signature analysis (QFASA) to study predator diets.
Author: Connie Stewart [cre, aut, cph], Sara Iverson [aut, cph], Chris Field [aut], Don Bowen [aut], Wade Blanchard [aut], Shelley Lang [aut], Justin Kamerman [aut], Hongchang Bao [ctb], Holly Steeves [aut], Jennifer McNichol [aut], Tyler Rideout [aut]
Maintainer: Connie Stewart <connie.stewart@unb.ca>

Diff between QFASA versions 1.2.0 dated 2023-11-16 and 1.2.1 dated 2024-08-27

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Permanent link

Package mvMORPH updated to version 1.2.0 with previous version 1.1.9 dated 2023-12-09

Title: Multivariate Comparative Tools for Fitting Evolutionary Models to Morphometric Data
Description: Fits multivariate (Brownian Motion, Early Burst, ACDC, Ornstein-Uhlenbeck and Shifts) models of continuous traits evolution on trees and time series. 'mvMORPH' also proposes high-dimensional multivariate comparative tools (linear models using Generalized Least Squares and multivariate tests) based on penalized likelihood. See Clavel et al. (2015) <DOI:10.1111/2041-210X.12420>, Clavel et al. (2019) <DOI:10.1093/sysbio/syy045>, and Clavel & Morlon (2020) <DOI:10.1093/sysbio/syaa010>.
Author: Julien Clavel [aut, cre], with contributions from Aaron King [aut], Emmanuel Paradis [aut]
Maintainer: Julien Clavel <julien.clavel@hotmail.fr>

Diff between mvMORPH versions 1.1.9 dated 2023-12-09 and 1.2.0 dated 2024-08-27

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Package quanteda.textstats updated to version 0.97.1 with previous version 0.97 dated 2024-04-08

Title: Textual Statistics for the Quantitative Analysis of Textual Data
Description: Textual statistics functions formerly in the 'quanteda' package. Textual statistics for characterizing and comparing textual data. Includes functions for measuring term and document frequency, the co-occurrence of words, similarity and distance between features and documents, feature entropy, keyword occurrence, readability, and lexical diversity. These functions extend the 'quanteda' package and are specially designed for sparse textual data.
Author: Kenneth Benoit [cre, aut, cph] , Kohei Watanabe [aut] , Haiyan Wang [aut] , Jiong Wei Lua [aut], Jouni Kuha [aut] , European Research Council [fnd]
Maintainer: Kenneth Benoit <kbenoit@lse.ac.uk>

Diff between quanteda.textstats versions 0.97 dated 2024-04-08 and 0.97.1 dated 2024-08-27

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Permanent link

Package PCBS updated to version 0.1.1 with previous version 0.1.0 dated 2024-04-23

Title: Principal Component BiSulfite
Description: A system for fast, accurate, and flexible whole genome bisulfite sequencing (WGBS) data analysis of two-condition comparisons. Principal Component BiSulfite, 'PCBS', assigns methylated loci eigenvector values from the treatment-delineating principal component in lieu of running millions of pairwise statistical tests, which dramatically increases analysis flexibility and reduces computational requirements. Methods: <https://katlande.github.io/PCBS/articles/Differential_Methylation.html>.
Author: Kathryn Lande [aut, cre, cph]
Maintainer: Kathryn Lande <kathryn.lande@mail.mcgill.ca>

Diff between PCBS versions 0.1.0 dated 2024-04-23 and 0.1.1 dated 2024-08-27

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Package tetRys updated to version 1.2 with previous version 1.1 dated 2024-07-26

Title: Game of 'tetRys'
Description: A game inspired by 'Tetris'. Opens a plot window device and starts a game of 'tetRys' in it. Steer the tetrominos with the arrow keys, press Pause to pause and Esc to end the game.
Author: Carsten Croonenbroeck [aut, cre]
Maintainer: Carsten Croonenbroeck <carsten.croonenbroeck@uni-rostock.de>

Diff between tetRys versions 1.1 dated 2024-07-26 and 1.2 dated 2024-08-27

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New package RcppBessel with initial version 1.0.0
Package: RcppBessel
Title: Bessel Functions Rcpp Interface
Version: 1.0.0
Maintainer: Alexios Galanos <alexios@4dscape.com>
Description: Exports an 'Rcpp' interface for the Bessel functions in the 'Bessel' package, which can then be called from the 'C++' code of other packages. For the original 'Fortran' implementation of these functions see Amos (1995) <doi:10.1145/212066.212078>.
License: GPL (>= 2)
Encoding: UTF-8
LinkingTo: Rcpp
Imports: Rcpp (>= 1.0.12), Rdpack
URL: https://github.com/alexiosg/RcppBessel
Suggests: knitr, rmarkdown, roxygen2, Bessel, testthat (>= 3.0.0), microbenchmark
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2024-08-22 16:09:28 UTC; alexios
Author: Alexios Galanos [aut, cre] , Martin Maechler [aut] , Donald E. Amos [aut]
Repository: CRAN
Date/Publication: 2024-08-27 16:30:14 UTC

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Package posologyr updated to version 1.2.6 with previous version 1.2.4 dated 2024-02-09

Title: Individual Dose Optimization using Population Pharmacokinetics
Description: Personalize drug regimens using individual pharmacokinetic and pharmacokinetic-pharmacodynamic profiles. Using combining therapeutic drug monitoring (TDM) data and a population model, 'posologyr' provides accurate a posteriori estimates and allows you to compute the optimal individualized dosing regimen. The empirical Bayes estimates are computed as described in Kang et al. (2012) <doi:10.4196/kjpp.2012.16.2.97>.
Author: Cyril Leven [aut, cre, cph] , Matthew Fidler [ctb] , Emmanuelle Comets [ctb], Audrey Lavenu [ctb], Marc Lavielle [ctb]
Maintainer: Cyril Leven <cyril.leven@chu-brest.fr>

Diff between posologyr versions 1.2.4 dated 2024-02-09 and 1.2.6 dated 2024-08-27

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Package mcrPioda updated to version 1.3.4 with previous version 1.3.3 dated 2024-06-04

Title: Method Comparison Regression - Mcr Fork for M- And MM-Deming Regression
Description: Regression methods to quantify the relation between two measurement methods are provided by this package. In particular it addresses regression problems with errors in both variables and without repeated measurements. It implements the Clinical Laboratory Standard International (CLSI) recommendations (see J. A. Budd et al. (2018, <https://clsi.org/standards/products/method-evaluation/documents/ep09/>) for analytical method comparison and bias estimation using patient samples. Furthermore, algorithms for Theil-Sen and equivariant Passing-Bablok estimators are implemented, see F. Dufey (2020, <doi:10.1515/ijb-2019-0157>) and J. Raymaekers and F. Dufey (2022, <arXiv:2202:08060>). Further the robust M-Deming and MM-Deming (experimental) are available, see G. Pioda (2021, <arXiv:2105:04628>). A comprehensive overview over the implemented methods and references can be found in the manual pages 'mcrPioda-package' and 'mcreg'.
Author: Giorgio Pioda [aut, cre] , Sergej Potapov [aut] , Fabian Model [aut], Andre Schuetzenmeister [aut] , Ekaterina Manuilova [aut], Florian Dufey [aut] , Jakob Raymaekers [aut] , Venkatraman E. Seshan [ctb], Roche [cph, fnd]
Maintainer: Giorgio Pioda <gfwp@ticino.com>

Diff between mcrPioda versions 1.3.3 dated 2024-06-04 and 1.3.4 dated 2024-08-27

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New package kerntools with initial version 1.0.1
Package: kerntools
Title: Kernel Functions and Tools for Machine Learning Applications
Version: 1.0.1
Description: Kernel functions for diverse types of data (including, but not restricted to: nonnegative and real vectors, real matrices, categorical and ordinal variables, sets, strings), plus other utilities like kernel similarity, kernel Principal Components Analysis (PCA) and features' importance for Support Vector Machines (SVMs), which expand other 'R' packages like 'kernlab'.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Suggests: knitr, rmarkdown, spelling, testthat (>= 3.0.0)
Imports: dplyr, ggplot2, kernlab, methods, reshape2, stats, stringi
VignetteBuilder: knitr
Depends: R (>= 2.10)
Language: en-US
NeedsCompilation: no
Packaged: 2024-08-22 12:35:40 UTC; syko
Author: Elies Ramon [aut, cre, cph]
Maintainer: Elies Ramon <eramon@everlyrusher.com>
Repository: CRAN
Date/Publication: 2024-08-27 16:30:06 UTC

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Package greybox updated to version 2.0.2 with previous version 2.0.1 dated 2024-06-19

Title: Toolbox for Model Building and Forecasting
Description: Implements functions and instruments for regression model building and its application to forecasting. The main scope of the package is in variables selection and models specification for cases of time series data. This includes promotional modelling, selection between different dynamic regressions with non-standard distributions of errors, selection based on cross validation, solutions to the fat regression model problem and more. Models developed in the package are tailored specifically for forecasting purposes. So as a results there are several methods that allow producing forecasts from these models and visualising them.
Author: Ivan Svetunkov [aut, cre] , Yves R. Sagaert [ctb]
Maintainer: Ivan Svetunkov <ivan@svetunkov.com>

Diff between greybox versions 2.0.1 dated 2024-06-19 and 2.0.2 dated 2024-08-27

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New package Goodreader with initial version 0.1.0
Package: Goodreader
Title: Scrape and Analyze 'Goodreads' Book Data
Version: 0.1.0
Description: A comprehensive toolkit for scraping and analyzing book data from <https://www.goodreads.com/>. This package provides functions to search for books, scrape book details and reviews, perform sentiment analysis on reviews, and conduct topic modeling. It's designed for researchers, data analysts, and book enthusiasts who want to gain insights from 'Goodreads' data.
License: GPL-3
Encoding: UTF-8
Imports: cld2, dplyr, ggplot2, httr, lubridate, magrittr, parallel, purrr, rvest, rlang, stringr, tidyr, tidytext, tm, topicmodels, utils, wordcloud2
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), withr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-08-22 15:33:13 UTC; psych
Author: Chao Liu Liu [aut, cre, cph]
Maintainer: Chao Liu Liu <chaoliu@cedarville.edu>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2024-08-27 16:30:18 UTC

More information about Goodreader at CRAN
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New package GephiForR with initial version 0.1.0
Package: GephiForR
Title: 'Gephi' Network Visualization
Version: 0.1.0
Maintainer: Julia Manso <gephiforr@gmail.com>
Description: Implements key features of 'Gephi' for network visualization, including 'ForceAtlas2' (with LinLog mode), network scaling, and network rotations. It also includes easy network visualization tools such as edge and node color assignment for recreating 'Gephi'-style graphs in R. The package references layout algorithms developed by Jacomy, M., Venturini T., Heymann S., and Bastian M. (2014) <doi:10.1371/journal.pone.0098679> and Noack, A. (2009) <doi:10.48550/arXiv.0807.4052>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: igraph, Rdpack
NeedsCompilation: no
Packaged: 2024-08-22 21:14:50 UTC; JuliaManso
Author: Julia Manso [aut, cre]
Repository: CRAN
Date/Publication: 2024-08-27 16:50:06 UTC

More information about GephiForR at CRAN
Permanent link

New package fluxible with initial version 0.0.1
Package: fluxible
Title: Ecosystem Gas Fluxes Calculations for Closed Loop Chamber Setup
Version: 0.0.1
Description: Processes the raw data from closed loop flux chamber (or tent) setups into ecosystem gas fluxes usable for analysis. It goes from a data frame of gas concentration over time (which can contain several measurements) and a meta data file indicating which measurement was done when, to a data frame of ecosystem gas fluxes including quality diagnostics. Functions provided include different models (exponential as described in Zhao et al (2018) <doi:10.1016/j.agrformet.2018.08.022>, quadratic and linear) to estimate the fluxes from the raw data, quality assessment, plotting for visual check and calculation of fluxes based on the setup specific parameters (chamber size, plot area, ...).
License: GPL (>= 3)
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), vdiffr
Imports: broom, dplyr, ggforce, ggplot2, haven, lubridate, rlang, purrr, stats, stringr, tidyr, zoo, progress
Depends: R (>= 4.1)
LazyData: true
URL: https://plant-functional-trait-course.github.io/fluxible/
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-08-22 13:27:11 UTC; jga051
Author: Joseph Gaudard [aut, cre] , Paul Efren [aut], Michael Mustri [aut], Pekka O Niittynen [aut], Richard James Telford [aut]
Maintainer: Joseph Gaudard <joseph.gaudard@pm.me>
Repository: CRAN
Date/Publication: 2024-08-27 16:30:10 UTC

More information about fluxible at CRAN
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New package ClustMC with initial version 0.1.1
Package: ClustMC
Title: Cluster-Based Multiple Comparisons
Version: 0.1.1
Description: Multiple comparison techniques are typically applied following an F test from an ANOVA to decide which means are significantly different from one another. As an alternative to traditional methods, cluster analysis can be performed to group the means of different treatments into non-overlapping clusters. Treatments in different groups are considered statistically different. Several approaches have been proposed, with varying clustering methods and cut-off criteria. This package implements cluster-based multiple comparisons tests and also provides a visual representation in the form of a dendrogram. Di Rienzo, J. A., Guzman, A. W., & Casanoves, F. (2002) <jstor.org/stable/1400690>. Bautista, M. G., Smith, D. W., & Steiner, R. L. (1997) <doi:10.2307/1400402>.
License: MIT + file LICENSE
Depends: R (>= 2.10)
Imports: cli, dplyr, graphics, lifecycle, magrittr, procs, psych, stats, usedist
Encoding: UTF-8
Suggests: ggdendro, ggplot2, knitr, rmarkdown, testthat (>= 3.0.0)
URL: https://github.com/SGS2000/ClustMC, https://sgs2000.github.io/ClustMC/
BugReports: https://github.com/SGS2000/ClustMC/issues
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-08-22 17:18:31 UTC; santi
Author: Santiago Garcia Sanchez [aut, cre, cph]
Maintainer: Santiago Garcia Sanchez <santiagoesquel@gmail.com>
Repository: CRAN
Date/Publication: 2024-08-27 16:40:07 UTC

More information about ClustMC at CRAN
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Package spc updated to version 0.7.1 with previous version 0.6.8 dated 2024-04-24

Title: Statistical Process Control -- Calculation of ARL and Other Control Chart Performance Measures
Description: Evaluation of control charts by means of the zero-state, steady-state ARL (Average Run Length) and RL quantiles. Setting up control charts for given in-control ARL. The control charts under consideration are one- and two-sided EWMA, CUSUM, and Shiryaev-Roberts schemes for monitoring the mean or variance of normally distributed independent data. ARL calculation of the same set of schemes under drift (in the mean) are added. Eventually, all ARL measures for the multivariate EWMA (MEWMA) are provided.
Author: Sven Knoth [aut, cre]
Maintainer: Sven Knoth <Sven.Knoth@gmx.de>

Diff between spc versions 0.6.8 dated 2024-04-24 and 0.7.1 dated 2024-08-27

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Package PHeval updated to version 1.0 with previous version 0.5.4 dated 2018-09-13

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 0.5.4 dated 2018-09-13 and 1.0 dated 2024-08-27

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Package cubble updated to version 1.0.0 with previous version 0.3.2 dated 2024-07-18

Title: A Vector Spatio-Temporal Data Structure for Data Analysis
Description: A spatiotemperal data object in a relational data structure to separate the recording of time variant/ invariant variables. See the Journal of Statistical Software reference: <doi:10.18637/jss.v110.i07>.
Author: H. Sherry Zhang [aut, cre] , Dianne Cook [aut] , Ursula Laa [aut] , Nicolas Langrene [aut] , Patricia Menendez [aut]
Maintainer: H. Sherry Zhang <huizezhangsh@gmail.com>

Diff between cubble versions 0.3.2 dated 2024-07-18 and 1.0.0 dated 2024-08-27

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Package TreeMineR updated to version 1.0.2 with previous version 1.0.1 dated 2024-04-02

Title: Tree-Based Scan Statistics
Description: Implementation of unconditional Bernoulli Scan Statistic developed by Kulldorff et al. (2003) <doi:10.1111/1541-0420.00039> for hierarchical tree structures. Tree-based Scan Statistics are an exploratory method to identify event clusters across the space of a hierarchical tree.
Author: Joshua P. Entrop [aut, cre, cph] , Viktor Wintzell [aut]
Maintainer: Joshua P. Entrop <joshuaentrop@posteo.de>

Diff between TreeMineR versions 1.0.1 dated 2024-04-02 and 1.0.2 dated 2024-08-27

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Package spant updated to version 2.23.0 with previous version 2.22.0 dated 2024-07-11

Title: MR Spectroscopy Analysis Tools
Description: Tools for reading, visualising and processing Magnetic Resonance Spectroscopy data. The package includes methods for spectral fitting: Wilson (2021) <DOI:10.1002/mrm.28385> and spectral alignment: Wilson (2018) <DOI:10.1002/mrm.27605>.
Author: Martin Wilson [cre, aut] , Yong Wang [ctb], John Muschelli [ctb]
Maintainer: Martin Wilson <martin@pipegrep.co.uk>

Diff between spant versions 2.22.0 dated 2024-07-11 and 2.23.0 dated 2024-08-27

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Package rvg updated to version 0.3.4 with previous version 0.3.3 dated 2023-05-10

Title: R Graphics Devices for 'Office' Vector Graphics Output
Description: Vector Graphics devices for 'Microsoft PowerPoint' and 'Microsoft Excel'. Functions extending package 'officer' are provided to embed 'DrawingML' graphics into 'Microsoft PowerPoint' presentations and 'Microsoft Excel' workbooks.
Author: David Gohel [aut, cre], ArData [cph], Bob Rudis [ctb] , Francois Brunetti [ctb]
Maintainer: David Gohel <david.gohel@ardata.fr>

Diff between rvg versions 0.3.3 dated 2023-05-10 and 0.3.4 dated 2024-08-27

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Package glca updated to version 1.4.2 with previous version 1.4.0 dated 2023-04-26

Title: An R Package for Multiple-Group Latent Class Analysis
Description: Fits multiple-group latent class analysis (LCA) for exploring differences between populations in the data with a multilevel structure. There are two approaches to reflect group differences in glca: fixed-effect LCA (Bandeen-Roche et al (1997) <doi:10.1080/01621459.1997.10473658>; Clogg and Goodman (1985) <doi:10.2307/270847>) and nonparametric random-effect LCA (Vermunt (2003) <doi:10.1111/j.0081-1750.2003.t01-1-00131.x>).
Author: Youngsun Kim [aut, cre], Hwan Chung [aut]
Maintainer: Youngsun Kim <yskstat@gmail.com>

Diff between glca versions 1.4.0 dated 2023-04-26 and 1.4.2 dated 2024-08-27

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Package easyCODA updated to version 0.40.2 with previous version 0.34.3 dated 2020-09-19

Title: Compositional Data Analysis in Practice
Description: Univariate and multivariate methods for compositional data analysis, based on logratios. The package implements the approach in the book Compositional Data Analysis in Practice by Michael Greenacre (2018), where accent is given to simple pairwise logratios. Selection can be made of logratios that account for a maximum percentage of logratio variance. Various multivariate analyses of logratios are included in the package.
Author: Michael Greenacre [aut, cre]
Maintainer: Michael Greenacre <michael.greenacre@upf.edu>

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Package Ternary updated to version 2.3.3 with previous version 2.3.2 dated 2024-07-25

Title: Create Ternary and Holdridge Plots
Description: Plots ternary diagrams (simplex plots / Gibbs triangles) and Holdridge life zone plots <doi:10.1126/science.105.2727.367> using the standard graphics functions. Allows custom annotation, interpolating, contouring and scaling of plotting region. Includes a 'Shiny' user interface for point-and-click ternary plotting. An alternative to 'ggtern', which uses the 'ggplot2' family of plotting functions.
Author: Martin R. Smith [aut, cre, cph] , Lilian Sanselme [ctb]
Maintainer: Martin R. Smith <martin.smith@durham.ac.uk>

Diff between Ternary versions 2.3.2 dated 2024-07-25 and 2.3.3 dated 2024-08-27

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Package scdensity updated to version 1.0.3 with previous version 1.0.2 dated 2018-01-30

Title: Shape-Constrained Kernel Density Estimation
Description: Implements methods for obtaining kernel density estimates subject to a variety of shape constraints (unimodality, bimodality, symmetry, tail monotonicity, bounds, and constraints on the number of inflection points). Enforcing constraints can eliminate unwanted waves or kinks in the estimate, which improves its subjective appearance and can also improve statistical performance. The main function scdensity() is very similar to the density() function in 'stats', allowing shape-restricted estimates to be obtained with little effort. The methods implemented in this package are described in Wolters and Braun (2017) <doi:10.1080/03610918.2017.1288247>, Wolters (2012) <doi:10.18637/jss.v047.i06>, and Hall and Huang (2002) <https://www3.stat.sinica.edu.tw/statistica/j12n4/j12n41/j12n41.htm>. See the scdensity() help for for full citations.
Author: Mark A. Wolters [aut, cre]
Maintainer: Mark A. Wolters <mark@mwolters.com>

Diff between scdensity versions 1.0.2 dated 2018-01-30 and 1.0.3 dated 2024-08-27

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Package pmev updated to version 0.1.2 with previous version 0.0.2 dated 2024-07-04

Title: Calculates Earned Value for a Project Schedule
Description: Given a project schedule and associated costs, this package calculates the earned value to date. It is an implementation of Project Management Body of Knowledge (PMBOK) methodologies (reference Project Management Institute. (2021). A guide to the Project Management Body of Knowledge (PMBOK guide) (7th ed.). Project Management Institute, Newtown Square, PA, ISBN 9781628256673 (pdf)).
Author: David Hammond [aut, cre]
Maintainer: David Hammond <anotherdavidhammond@gmail.com>

Diff between pmev versions 0.0.2 dated 2024-07-04 and 0.1.2 dated 2024-08-27

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Package maestro updated to version 0.2.0 with previous version 0.1.2 dated 2024-08-01

Title: Orchestration of Data Pipelines
Description: Framework for creating and orchestrating data pipelines. Organize, orchestrate, and monitor multiple pipelines in a single project. Use tags to decorate functions with scheduling parameters and configuration.
Author: Will Hipson [cre, aut, cph] , Ryan Garnett [aut, ctb, cph]
Maintainer: Will Hipson <will.e.hipson@gmail.com>

Diff between maestro versions 0.1.2 dated 2024-08-01 and 0.2.0 dated 2024-08-27

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Package quantilogram updated to version 3.1.1 with previous version 2.2.1 dated 2022-03-05

Title: Cross-Quantilogram
Description: Estimation and inference methods for the cross-quantilogram. The cross-quantilogram is a measure of nonlinear dependence between two variables, based on either unconditional or conditional quantile functions. It can be considered an extension of the correlogram, which is a correlation function over multiple lag periods that mainly focuses on linear dependency. One can use the cross-quantilogram to detect the presence of directional predictability from one time series to another. This package provides a statistical inference method based on the stationary bootstrap. For detailed theoretical and empirical explanations, see Linton and Whang (2007) for univariate time series analysis and Han, Linton, Oka and Whang (2016) for multivariate time series analysis. The full references for these key publications are as follows: (1) Linton, O., and Whang, Y. J. (2007). The quantilogram: with an application to evaluating directional predictability. Journal of Econometrics, 141(1), 250-282 < [...truncated...]
Author: Tatsushi Oka [aut, cre], Heejon Han [ctb], Oliver Linton [ctb], Yoon-Jae Whang [ctb]
Maintainer: Tatsushi Oka <oka.econ@gmail.com>

Diff between quantilogram versions 2.2.1 dated 2022-03-05 and 3.1.1 dated 2024-08-27

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Package wishmom updated to version 1.1.0 with previous version 1.0.0 dated 2024-08-23

Title: Compute Moments Related to Beta-Wishart and Inverse Beta-Wishart Distributions
Description: Provides functions for computing moments and coefficients related to the Beta-Wishart and Inverse Beta-Wishart distributions. It includes functions for calculating the expectation of matrix-valued functions of the Beta-Wishart distribution, coefficient matrices C_k and H_k, expectation of matrix-valued functions of the inverse Beta-Wishart distribution, and coefficient matrices \tilde{C}_k and \tilde{H}_k. For more details, refer Hillier and Kan (2024) <https://www-2.rotman.utoronto.ca/~kan/papers/wishmom.pdf>, "On the Expectations of Equivariant Matrix-valued Functions of Wishart and Inverse Wishart Matrices".
Author: Raymond Kan [aut, cre], Preston Liang [aut]
Maintainer: Raymond Kan <raymond.kan@rotman.utoronto.ca>

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Package SEI updated to version 0.2.0 with previous version 0.1.1 dated 2024-01-26

Title: Calculating Standardised Indices
Description: Convert a time series of observations to a time series of standardised indices that can be used to monitor variables on a common and probabilistically interpretable scale. The indices can be aggregated and rescaled to different time scales, visualised using plot capabilities, and calculated using a range of distributions. This includes flexible non-parametric and non-stationary methods.
Author: Sam Allen [aut, cre], Noelia Otero [aut]
Maintainer: Sam Allen <sam.allen@stat.math.ethz.ch>

Diff between SEI versions 0.1.1 dated 2024-01-26 and 0.2.0 dated 2024-08-27

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New package kdml with initial version 1.0.0
Package: kdml
Title: Kernel Distance Metric Learning for Mixed-Type Data
Version: 1.0.0
Maintainer: John R. J. Thompson <john.thompson@ubc.ca>
Description: Distance metrics for mixed-type data consisting of continuous, nominal, and ordinal variables. This methodology uses additive and product kernels to calculate similarity functions and metrics, and selects variables relevant to the underlying distance through bandwidth selection via maximum similarity cross-validation. These methods can be used in any distance-based algorithm, such as distance-based clustering. For further details, we refer the reader to Ghashti and Thompson (2024) <<doi:10.48550/arXiv.2306.01890>> for dkps() methodology, and Ghashti (2024) <doi:10.14288/1.0443975> for dkss() methodology.
License: GPL (>= 2)
Encoding: UTF-8
Depends: R (>= 3.5.0), np
Imports: MASS, markdown
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-08-21 21:56:46 UTC; Mango
Author: Jesse S. Ghashti [aut], John R. J. Thompson [aut, cre]
Repository: CRAN
Date/Publication: 2024-08-27 11:30:05 UTC

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New package ChessGmooG with initial version 0.1.0
Package: ChessGmooG
Title: FIDE Chess Players Ratings for 2015 and 2020
Version: 0.1.0
Description: Datasets of the International Chess Federation's player ratings and country information analysed in the book Antony Unwin (2024, ISBN:978-0367674007) "Getting (more out of) Graphics".
Depends: R (>= 3.5)
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2024-08-22 09:24:17 UTC; antonyunwin2
Author: Antony Unwin [aut, cre, cph]
Maintainer: Antony Unwin <unwin@math.uni-augsburg.de>
Repository: CRAN
Date/Publication: 2024-08-27 11:50:05 UTC

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New package cctest with initial version 1.0.0
Package: cctest
Version: 1.0.0
Title: Canonical Correlations and Tests of Independence
Description: A simple interface for multivariate correlation analysis that unifies various classical statistical procedures including t-tests, tests in univariate and multivariate linear models, parametric and nonparametric tests for correlation, Kruskal-Wallis tests, standard non-exact versions of Wilcoxon rank-sum and signed rank tests, chi-squared tests of independence, score tests of particular hypotheses in generalized linear models, canonical correlation analysis and linear discriminant analysis.
Author: Robert Schlicht [aut, cre]
Maintainer: Robert Schlicht <robert.schlicht@tu-dresden.de>
License: EUPL (>= 1.1)
Imports: stats
NeedsCompilation: no
Packaged: 2024-08-22 03:45:13 UTC; Schlicht
Repository: CRAN
Date/Publication: 2024-08-27 11:40:06 UTC

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New package amadeus with initial version 1.0.6
Package: amadeus
Title: Accessing and Analyzing Large-Scale Environmental Data
Version: 1.0.6
Maintainer: Kyle Messier <kyle.messier@nih.gov>
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>.
Depends: R (>= 4.1.0)
Imports: dplyr, sf, sftime, stats, terra, methods, data.table, httr, rvest, exactextractr, utils, stringi, testthat (>= 3.0.0), parallelly, stars, future, future.apply, tidyr, rlang, nhdplusTools, archive, collapse, Rdpack
Suggests: covr, withr, knitr, rmarkdown, lwgeom, FNN, doRNG, devtools, stringr, tigris, spelling
Encoding: UTF-8
VignetteBuilder: knitr, rmarkdown
License: MIT + file LICENSE
URL: https://github.com/NIEHS/amadeus
BugReports: https://github.com/NIEHS/amadeus/issues
Language: en-US
NeedsCompilation: no
Packaged: 2024-08-21 14:50:24 UTC; manwareme
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]
Repository: CRAN
Date/Publication: 2024-08-27 11:20:21 UTC

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Package mapme.biodiversity updated to version 0.9.0 with previous version 0.8.0 dated 2024-07-03

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 0.8.0 dated 2024-07-03 and 0.9.0 dated 2024-08-27

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 mapme.biodiversity-0.9.0/mapme.biodiversity/R/get_resources.R                                                          |    2 
 mapme.biodiversity-0.9.0/mapme.biodiversity/R/get_ucdp_ged.R                                                           |    2 
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 mapme.biodiversity-0.9.0/mapme.biodiversity/R/get_worldpop.R                                                           |    2 
 mapme.biodiversity-0.9.0/mapme.biodiversity/R/portfolio.R                                                              |   22 
 mapme.biodiversity-0.9.0/mapme.biodiversity/R/register.R                                                               |   28 -
 mapme.biodiversity-0.9.0/mapme.biodiversity/R/spatial-utils.R                                                          |  102 +--
 mapme.biodiversity-0.9.0/mapme.biodiversity/R/utils.R                                                                  |   11 
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Package golem updated to version 0.5.1 with previous version 0.5.0 dated 2024-08-19

Title: A Framework for Robust Shiny Applications
Description: An opinionated framework for building a production-ready 'Shiny' application. This package contains a series of tools for building a robust 'Shiny' application from start to finish.
Author: Colin Fay [cre, aut] , Vincent Guyader [aut] , Sebastien Rochette [aut] , Cervan Girard [aut] , Novica Nakov [ctb], David Granjon [ctb], Arthur Breant [ctb], Antoine Languillaume [ctb], Ilya Zarubin [ctb], ThinkR [cph]
Maintainer: Colin Fay <contact@colinfay.me>

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Package finnsurveytext updated to version 2.0.0 with previous version 1.0.0 dated 2024-02-16

Title: Analyse Open-Ended Survey Responses in Finnish
Description: Annotates Finnish textual survey responses into CoNLL-U format using Finnish treebanks from <https://universaldependencies.org/format.html> using UDPipe as described in Straka and Straková (2017) <doi:10.18653/v1/K17-3009>. Formatted data is then analysed using single or comparison n-gram plots, wordclouds, summary tables and Concept Network plots. The Concept Network plots use the TextRank algorithm as outlined in Mihalcea, Rada & Tarau, Paul (2004) <https://aclanthology.org/W04-3252/>.
Author: Adeline Clarke [cre, aut], Krista Lagus [aut], Katja Laine [aut], Maria Litova [aut], Matti Nelimarkka [aut], Joni Oksanen [aut], Jaakko Peltonen [aut], Tuukka Oikarinen [aut], Jani-Matti Tirkkonen [aut], Ida Toivanen [aut], Maria Valaste [aut], Shan [...truncated...]
Maintainer: Adeline Clarke <adelinepclarke@gmail.com>

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Package extras updated to version 0.7.3 with previous version 0.7.2 dated 2024-08-22

Title: Helper Functions for Bayesian Analyses
Description: Functions to 'numericise' 'R' objects (coerce to numeric objects), summarise 'MCMC' (Monte Carlo Markov Chain) samples and calculate deviance residuals as well as 'R' translations of some 'BUGS' (Bayesian Using Gibbs Sampling), 'JAGS' (Just Another Gibbs Sampler), 'STAN' and 'TMB' (Template Model Builder) functions.
Author: Nicole Hill [aut, cre] , Joe Thorley [aut] , Kirill Mueller [ctb] , Nadine Hussein [ctb] , Poisson Consulting [cph, fnd]
Maintainer: Nicole Hill <nicole@poissonconsulting.ca>

Diff between extras versions 0.7.2 dated 2024-08-22 and 0.7.3 dated 2024-08-27

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Package IPDFileCheck (with last version 0.8.1) was removed from CRAN

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

2024-03-08 0.8.1
2022-02-01 0.7.5
2022-01-28 0.7.4
2021-08-04 0.7.2
2021-02-22 0.6.6
2021-02-16 0.6.5
2020-11-20 0.6.4
2020-06-12 0.6.3

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Package rxylib updated to version 0.2.14 with previous version 0.2.13 dated 2024-08-26

Title: Import XY-Data into R
Description: Provides access to the 'xylib' C library for to import xy data from powder diffraction, spectroscopy and other experimental methods.
Author: Sebastian Kreutzer [aut, trl, cre] , Johannes Friedrich [aut] , RLum Team [ctb], Marcin Wojdyr [cph] , Peng Zhang [cph]
Maintainer: Sebastian Kreutzer <sebastian.kreutzer@uni-heidelberg.de>

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New package MantaID with initial version 1.0.3
Package: MantaID
Title: A Machine-Learning Based Tool to Automate the Identification of Biological Database IDs
Version: 1.0.3
Description: The number of biological databases is growing rapidly, but different databases use different IDs to refer to the same biological entity. The inconsistency in IDs impedes the integration of various types of biological data. To resolve the problem, we developed 'MantaID', a data-driven, machine-learning based approach that automates identifying IDs on a large scale. The 'MantaID' model's prediction accuracy was proven to be 99%, and it correctly and effectively predicted 100,000 ID entries within two minutes. 'MantaID' supports the discovery and exploitation of ID patterns from large quantities of databases. (e.g., up to 542 biological databases). An easy-to-use freely available open-source software R package, a user-friendly web application, and API were also developed for 'MantaID' to improve applicability. To our knowledge, 'MantaID' is the first tool that enables an automatic, quick, accurate, and comprehensive identification of large quantities of IDs, and can therefore be used as a [...truncated...]
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 4.4.0),biomaRt,caret,keras,mlr3tuning,mlr3
LazyData: true
URL: https://molaison.github.io/MantaID/
Imports: ggplot2,data.table,magrittr,stringr,tibble,tidyr,tidyselect,ggcorrplot,reshape2,scutr,paradox,RColorBrewer,purrr,dplyr
Suggests: mlr3hyperband,mlr3learners,ranger,rpart,xgboost
NeedsCompilation: no
Packaged: 2024-08-27 07:35:03 UTC; pc
Author: Zhengpeng Zeng [aut, cre, ctb] , Longfei Mao [aut, cph] , Feng Yu [aut] , Jiamin Hu [ctb] , Xiting Wang [ctb]
Maintainer: Zhengpeng Zeng <molaison@foxmail.com>
Repository: CRAN
Date/Publication: 2024-08-27 08:40:02 UTC

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Package FuzzySimRes updated to version 0.4.3 with previous version 0.4.0 dated 2024-03-14

Title: Simulation and Resampling Methods for Epistemic Fuzzy Data
Description: Random simulations of fuzzy numbers are still a challenging problem. The aim of this package is to provide the respective procedures to simulate fuzzy random variables, especially in the case of the piecewise linear fuzzy numbers (PLFNs, see Coroianua et al. (2013) <doi:10.1016/j.fss.2013.02.005> for the further details). Additionally, the special resampling algorithms known as the epistemic bootstrap are provided (see Grzegorzewski and Romaniuk (2022) <doi:10.34768/amcs-2022-0021>, Grzegorzewski and Romaniuk (2022) <doi:10.1007/978-3-031-08974-9_39>) together with the functions to apply statistical tests and estimate various characteristics based on the epistemic bootstrap. The package also includes a real-life data set of epistemic fuzzy triangular numbers. The fuzzy numbers used in this package are consistent with the 'FuzzyNumbers' package.
Author: Maciej Romaniuk [cre, aut] , Przemyslaw Grzegorzewski [aut] , Abbas Parchami [aut] , Luis Carvalho [ctb, cph]
Maintainer: Maciej Romaniuk <mroman@ibspan.waw.pl>

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Package fio updated to version 0.1.2 with previous version 0.1.1 dated 2024-08-21

Title: Friendly Input-Output Analysis
Description: Simplifies the process of importing and managing input-output matrices from 'Microsoft Excel' into R, and provides a suite of functions for analysis. It leverages the 'R6' class for clean, memory-efficient object-oriented programming. Furthermore, all linear algebra computations are implemented in 'Rust' to achieve highly optimized performance.
Author: Alberson da Silva Miranda [aut, cre, cph] , Celso Bissoli Sessa [dtc]
Maintainer: Alberson da Silva Miranda <albersonmiranda@hotmail.com>

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Package armadillo (with last version 0.3.0) was removed from CRAN

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

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Package MAGMA.R updated to version 1.0.3 with previous version 1.0.1 dated 2024-03-19

Title: MAny-Group MAtching
Description: Balancing quasi-experimental field research for effects of covariates is fundamental for drawing causal inference. Propensity Score Matching deals with this issue but current techniques are restricted to binary treatment variables. Moreover, they provide several solutions without providing a comprehensive framework on choosing the best model. The MAGMA R-package addresses these restrictions by offering nearest neighbor matching for two to four groups. It also includes the option to match data of a 2x2 design. In addition, MAGMA includes a framework for evaluating the post-matching balance. The package includes functions for the matching process and matching reporting. We provide a tutorial on MAGMA as vignette. More information on MAGMA can be found in Feuchter, M. D., Urban, J., Scherrer V., Breit, M. L., and Preckel F. (2022) <https://osf.io/p47nc/>.
Author: Julian Urban [aut, cre], Markus D. Feuchter [aut], Vsevolod Scherrer [aut], Moritz L. Breit [aut], Franzis Preckel [aut]
Maintainer: Julian Urban <urbanj@uni-trier.de>

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Package MCMCpack updated to version 1.7-1 with previous version 1.7-0 dated 2024-01-18

Title: Markov Chain Monte Carlo (MCMC) Package
Description: Contains functions to perform Bayesian inference using posterior simulation for a number of statistical models. Most simulation is done in compiled C++ written in the Scythe Statistical Library Version 1.0.3. All models return 'coda' mcmc objects that can then be summarized using the 'coda' package. Some useful utility functions such as density functions, pseudo-random number generators for statistical distributions, a general purpose Metropolis sampling algorithm, and tools for visualization are provided.
Author: Andrew D. Martin [aut], Kevin M. Quinn [aut], Jong Hee Park [aut, cre], Ghislain Vieilledent [ctb], Michael Malecki [ctb], Matthew Blackwell [ctb], Keith Poole [ctb], Craig Reed [ctb], Ben Goodrich [ctb], Qiushi Yu [ctb], Ross Ihaka [cph], The R Deve [...truncated...]
Maintainer: Jong Hee Park <jongheepark@snu.ac.kr>

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Package isoorbi updated to version 1.3.1 with previous version 1.3.0 dated 2023-11-09

Title: Process Orbitrap Isotopocule Data
Description: Read and process isotopocule data from an Orbitrap Isotope Solutions mass spectrometer. Citation: Kantnerova et al. (Nature Protocols, 2024).
Author: Caj Neubauer [aut, cre, cph] , Sebastian Kopf [aut] , Kristyna Kantnerova [aut]
Maintainer: Caj Neubauer <caj.neubauer@colorado.edu>

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

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

2019-05-20 0.1.1
2017-05-04 0.1.0

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

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

2022-06-17 1.1.0
2020-11-09 1.0.0
2020-07-07 0.2.0

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Package wgaim updated to version 2.0-6 with previous version 2.0-1 dated 2019-10-03

Title: Whole Genome Average Interval Mapping for QTL Detection and Estimation using ASReml-R
Description: A computationally efficient whole genome approach to detecting and estimating significant QTL in linkage maps using the flexible linear mixed modelling functionality of ASReml-R.
Author: Julian Taylor [aut, cre], Ari Verbyla [aut]
Maintainer: Julian Taylor <julian.taylor@adelaide.edu.au>

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Package tidypmc updated to version 2.0 with previous version 1.7 dated 2019-08-01

Title: Parse Full Text XML Documents from PubMed Central
Description: Parse XML documents from the Open Access subset of Europe PubMed Central <https://europepmc.org> including section paragraphs, tables, captions and references.
Author: Chris Stubben [aut, cre]
Maintainer: Chris Stubben <chris.stubben@hci.utah.edu>

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Package rlibkriging updated to version 0.9-0.1 with previous version 0.9-0 dated 2024-08-23

Title: Kriging Models using the 'libKriging' Library
Description: Interface to 'libKriging' 'C++' library <https://github.com/libKriging> that should provide most standard Kriging / Gaussian process regression features (like in 'DiceKriging', 'kergp' or 'RobustGaSP' packages). 'libKriging' relies on Armadillo linear algebra library (Apache 2 license) by Conrad Sanderson, 'lbfgsb_cpp' is a 'C++' port around 'lbfgsb' library (BSD-3 license) by Ciyou Zhu, Richard Byrd, Jorge Nocedal and Jose Luis Morales used for hyperparameters optimization.
Author: Yann Richet [aut, cre] , Pascal Have [aut], Yves Deville [aut], Conrad Sanderson [ctb], Ciyou Zhu [ctb], Richard Byrd [ctb], Jorge Nocedal [ctb], Jose Luis Morales [ctb], Mike Smith [ctb]
Maintainer: Yann Richet <yann.richet@irsn.fr>

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Package longpower updated to version 1.0.26 with previous version 1.0.25 dated 2024-01-23

Title: Sample Size Calculations for Longitudinal Data
Description: Compute power and sample size for linear models of longitudinal data. Supported models include mixed-effects models and models fit by generalized least squares and generalized estimating equations. The package is described in Iddi and Donohue (2022) <DOI:10.32614/RJ-2022-022>. Relevant formulas are derived by Liu and Liang (1997) <DOI:10.2307/2533554>, Diggle et al (2002) <ISBN:9780199676750>, and Lu, Luo, and Chen (2008) <DOI:10.2202/1557-4679.1098>.
Author: Michael C. Donohue [aut, cre], Steve D. Edland [ctb], Nan Hu [ctb]
Maintainer: Michael C. Donohue <mdonohue@usc.edu>

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Package labelr updated to version 0.1.8 with previous version 0.1.7 dated 2024-07-19

Title: Label Data Frames, Variables, and Values
Description: Create and use data frame labels for data frame objects (frame labels), their columns (name labels), and individual values of a column (value labels). Value labels include one-to-one and many-to-one labels for nominal and ordinal variables, as well as numerical range-based value labels for continuous variables. Convert value-labeled variables so each value is replaced by its corresponding value label. Add values-converted-to-labels columns to a value-labeled data frame while preserving parent columns. Filter and subset a value-labeled data frame using labels, while returning results in terms of values. Overlay labels in place of values in common R commands to increase interpretability. Generate tables of value frequencies, with categories expressed as raw values or as labels. Access data frames that show value-to-label mappings for easy reference.
Author: Robert Hartman [aut, cre], The MITRE Corporation [cph]
Maintainer: Robert Hartman <rohartman@gmail.com>

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Package gap updated to version 1.6 with previous version 1.5-3 dated 2023-08-26

Title: Genetic Analysis Package
Description: As first reported [Zhao, J. H. 2007. "gap: Genetic Analysis Package". J Stat Soft 23(8):1-18. <doi:10.18637/jss.v023.i08>], it is designed as an integrated package for genetic data analysis of both population and family data. Currently, it contains functions for sample size calculations of both population-based and family-based designs, probability of familial disease aggregation, kinship calculation, statistics in linkage analysis, and association analysis involving genetic markers including haplotype analysis with or without environmental covariates. Over years, the package has been developed in-between many projects hence also in line with the name (gap).
Author: Jing Hua Zhao [aut, cre] , Kurt Hornik [ctb], Brian Ripley [ctb], Uwe Ligges [ctb], Achim Zeileis [ctb]
Maintainer: Jing Hua Zhao <jinghuazhao@hotmail.com>

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Package footprint updated to version 0.2 with previous version 0.1 dated 2021-01-06

Title: Calculate Air Travel Emissions
Description: A handy tool to calculate carbon footprints from air travel based on three-letter International Air Transport Association (IATA) airport codes or latitude and longitude. footprint first calculates the great-circle distance between departure and arrival destinations. It then uses the Department of Environment, Food & Rural Affairs (DEFRA) greenhouse gas conversion factors for business air travel to estimate the carbon footprint. These conversion factors consider trip length, flight class (e.g. economy, business), and emissions metric (e.g. carbon dioxide equivalent, methane).
Author: Anthony Schmidt [aut, cre] , Kasia Kulma [aut]
Maintainer: Anthony Schmidt <aschmi11@utk.edu>

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More information about footprint at CRAN
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Package data.table updated to version 1.16.0 with previous version 1.15.4 dated 2024-03-30

Title: Extension of `data.frame`
Description: Fast aggregation of large data (e.g. 100GB in RAM), fast ordered joins, fast add/modify/delete of columns by group using no copies at all, list columns, friendly and fast character-separated-value read/write. Offers a natural and flexible syntax, for faster development.
Author: Tyson Barrett [aut, cre] , Matt Dowle [aut], Arun Srinivasan [aut], Jan Gorecki [aut], Michael Chirico [aut] , Toby Hocking [aut] , Benjamin Schwendinger [aut] , Pasha Stetsenko [ctb], Tom Short [ctb], Steve Lianoglou [ctb], Eduard Antonyan [ctb], Ma [...truncated...]
Maintainer: Tyson Barrett <t.barrett88@gmail.com>

Diff between data.table versions 1.15.4 dated 2024-03-30 and 1.16.0 dated 2024-08-27

 data.table-1.15.4/data.table/po                                                          |only
 data.table-1.16.0/data.table/DESCRIPTION                                                 |   37 
 data.table-1.16.0/data.table/MD5                                                         |  311 +++---
 data.table-1.16.0/data.table/NAMESPACE                                                   |   15 
 data.table-1.16.0/data.table/NEWS.md                                                     |  217 ++++
 data.table-1.16.0/data.table/R/AllS4.R                                                   |   16 
 data.table-1.16.0/data.table/R/IDateTime.R                                               |   14 
 data.table-1.16.0/data.table/R/as.data.table.R                                           |   10 
 data.table-1.16.0/data.table/R/bmerge.R                                                  |   10 
 data.table-1.16.0/data.table/R/cedta.R                                                   |   25 
 data.table-1.16.0/data.table/R/data.table.R                                              |  509 +++++-----
 data.table-1.16.0/data.table/R/duplicated.R                                              |    3 
 data.table-1.16.0/data.table/R/fcast.R                                                   |   82 +
 data.table-1.16.0/data.table/R/fdroplevels.R                                             |   37 
 data.table-1.16.0/data.table/R/fmelt.R                                                   |   34 
 data.table-1.16.0/data.table/R/foverlaps.R                                               |   11 
 data.table-1.16.0/data.table/R/fread.R                                                   |   72 -
 data.table-1.16.0/data.table/R/fwrite.R                                                  |   13 
 data.table-1.16.0/data.table/R/merge.R                                                   |   18 
 data.table-1.16.0/data.table/R/onAttach.R                                                |    2 
 data.table-1.16.0/data.table/R/onLoad.R                                                  |   14 
 data.table-1.16.0/data.table/R/openmp-utils.R                                            |    1 
 data.table-1.16.0/data.table/R/print.data.table.R                                        |   75 -
 data.table-1.16.0/data.table/R/programming.R                                             |    2 
 data.table-1.16.0/data.table/R/setkey.R                                                  |   66 -
 data.table-1.16.0/data.table/R/setops.R                                                  |   13 
 data.table-1.16.0/data.table/R/shift.R                                                   |    2 
 data.table-1.16.0/data.table/R/tables.R                                                  |    3 
 data.table-1.16.0/data.table/R/test.data.table.R                                         |  148 ++
 data.table-1.16.0/data.table/R/timetaken.R                                               |    1 
 data.table-1.16.0/data.table/R/translation.R                                             |   30 
 data.table-1.16.0/data.table/R/transpose.R                                               |    9 
 data.table-1.16.0/data.table/R/uniqlist.R                                                |    4 
 data.table-1.16.0/data.table/R/utils.R                                                   |   45 
 data.table-1.16.0/data.table/R/wrappers.R                                                |    9 
 data.table-1.16.0/data.table/README.md                                                   |    1 
 data.table-1.16.0/data.table/build/vignette.rds                                          |binary
 data.table-1.16.0/data.table/configure                                                   |   96 +
 data.table-1.16.0/data.table/inst/cc                                                     |    4 
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 data.table-1.16.0/data.table/inst/doc/datatable-keys-fast-subset.R                       |    5 
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 data.table-1.16.0/data.table/inst/doc/datatable-programming.R                            |   17 
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 data.table-1.16.0/data.table/man/dcast.data.table.Rd                                     |   14 
 data.table-1.16.0/data.table/man/duplicated.Rd                                           |   22 
 data.table-1.16.0/data.table/man/fcase.Rd                                                |   13 
 data.table-1.16.0/data.table/man/fdroplevels.Rd                                          |    2 
 data.table-1.16.0/data.table/man/fifelse.Rd                                              |    8 
 data.table-1.16.0/data.table/man/fread.Rd                                                |   19 
 data.table-1.16.0/data.table/man/froll.Rd                                                |    2 
 data.table-1.16.0/data.table/man/fwrite.Rd                                               |    2 
 data.table-1.16.0/data.table/man/melt.data.table.Rd                                      |    7 
 data.table-1.16.0/data.table/man/merge.Rd                                                |   10 
 data.table-1.16.0/data.table/man/openmp-utils.Rd                                         |    2 
 data.table-1.16.0/data.table/man/patterns.Rd                                             |    6 
 data.table-1.16.0/data.table/man/print.data.table.Rd                                     |   30 
 data.table-1.16.0/data.table/man/rbindlist.Rd                                            |   14 
 data.table-1.16.0/data.table/man/setDT.Rd                                                |    2 
 data.table-1.16.0/data.table/man/setNumericRounding.Rd                                   |    4 
 data.table-1.16.0/data.table/man/setattr.Rd                                              |    2 
 data.table-1.16.0/data.table/man/setkey.Rd                                               |   12 
 data.table-1.16.0/data.table/man/setorder.Rd                                             |    1 
 data.table-1.16.0/data.table/man/shift.Rd                                                |    2 
 data.table-1.16.0/data.table/man/special-symbols.Rd                                      |    6 
 data.table-1.16.0/data.table/man/split.Rd                                                |    4 
 data.table-1.16.0/data.table/man/test.Rd                                                 |    5 
 data.table-1.16.0/data.table/man/test.data.table.Rd                                      |    2 
 data.table-1.16.0/data.table/man/transform.data.table.Rd                                 |    4 
 data.table-1.16.0/data.table/man/transpose.Rd                                            |   19 
 data.table-1.16.0/data.table/src/assign.c                                                |   95 +
 data.table-1.16.0/data.table/src/between.c                                               |    6 
 data.table-1.16.0/data.table/src/bmerge.c                                                |   60 -
 data.table-1.16.0/data.table/src/chmatch.c                                               |    9 
 data.table-1.16.0/data.table/src/cj.c                                                    |    2 
 data.table-1.16.0/data.table/src/coalesce.c                                              |    4 
 data.table-1.16.0/data.table/src/data.table.h                                            |   37 
 data.table-1.16.0/data.table/src/dogroups.c                                              |   43 
 data.table-1.16.0/data.table/src/fastmean.c                                              |    8 
 data.table-1.16.0/data.table/src/fcast.c                                                 |   37 
 data.table-1.16.0/data.table/src/fifelse.c                                               |  225 ++--
 data.table-1.16.0/data.table/src/fmelt.c                                                 |   22 
 data.table-1.16.0/data.table/src/forder.c                                                |  400 +++++++
 data.table-1.16.0/data.table/src/frank.c                                                 |    4 
 data.table-1.16.0/data.table/src/fread.c                                                 |  139 ++
 data.table-1.16.0/data.table/src/fread.h                                                 |   13 
 data.table-1.16.0/data.table/src/freadR.c                                                |   73 -
 data.table-1.16.0/data.table/src/freadR.h                                                |    4 
 data.table-1.16.0/data.table/src/frollR.c                                                |    9 
 data.table-1.16.0/data.table/src/fsort.c                                                 |   12 
 data.table-1.16.0/data.table/src/fwrite.c                                                |   22 
 data.table-1.16.0/data.table/src/fwrite.h                                                |    4 
 data.table-1.16.0/data.table/src/fwriteR.c                                               |    7 
 data.table-1.16.0/data.table/src/gsumm.c                                                 |   28 
 data.table-1.16.0/data.table/src/ijoin.c                                                 |    6 
 data.table-1.16.0/data.table/src/init.c                                                  |   38 
 data.table-1.16.0/data.table/src/myomp.h                                                 |    9 
 data.table-1.16.0/data.table/src/nafill.c                                                |    4 
 data.table-1.16.0/data.table/src/openmp-utils.c                                          |    2 
 data.table-1.16.0/data.table/src/rbindlist.c                                             |   80 +
 data.table-1.16.0/data.table/src/shift.c                                                 |    9 
 data.table-1.16.0/data.table/src/snprintf.c                                              |    6 
 data.table-1.16.0/data.table/src/subset.c                                                |    2 
 data.table-1.16.0/data.table/src/transpose.c                                             |   19 
 data.table-1.16.0/data.table/src/uniqlist.c                                              |   18 
 data.table-1.16.0/data.table/src/utils.c                                                 |   39 
 data.table-1.16.0/data.table/src/wrappers.c                                              |    4 
 data.table-1.16.0/data.table/tests/S4.R                                                  |only
 data.table-1.16.0/data.table/tests/autoprint.R                                           |    1 
 data.table-1.16.0/data.table/tests/autoprint.Rout.save                                   |    7 
 data.table-1.16.0/data.table/tests/knitr.R                                               |   14 
 data.table-1.16.0/data.table/tests/knitr.Rout.mock                                       |    8 
 data.table-1.16.0/data.table/tests/knitr.Rout.save                                       |   24 
 data.table-1.16.0/data.table/tests/other.R                                               |   18 
 data.table-1.16.0/data.table/vignettes/datatable-benchmarking.Rmd                        |   20 
 data.table-1.16.0/data.table/vignettes/datatable-faq.Rmd                                 |    5 
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 data.table-1.16.0/data.table/vignettes/datatable-intro.Rmd                               |  141 +-
 data.table-1.16.0/data.table/vignettes/datatable-keys-fast-subset.Rmd                    |   14 
 data.table-1.16.0/data.table/vignettes/datatable-programming.Rmd                         |   16 
 data.table-1.16.0/data.table/vignettes/datatable-reference-semantics.Rmd                 |   20 
 data.table-1.16.0/data.table/vignettes/datatable-reshape.Rmd                             |    6 
 data.table-1.16.0/data.table/vignettes/datatable-sd-usage.Rmd                            |   58 -
 data.table-1.16.0/data.table/vignettes/datatable-secondary-indices-and-auto-indexing.Rmd |    6 
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More information about data.table at CRAN
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Package cpp11 updated to version 0.5.0 with previous version 0.4.7 dated 2023-12-02

Title: A C++11 Interface for R's C Interface
Description: Provides a header only, C++11 interface to R's C interface. Compared to other approaches 'cpp11' strives to be safe against long jumps from the C API as well as C++ exceptions, conform to normal R function semantics and supports interaction with 'ALTREP' vectors.
Author: Davis Vaughan [aut, cre] , Jim Hester [aut] , Romain Francois [aut] , Benjamin Kietzman [ctb], Posit Software, PBC [cph, fnd]
Maintainer: Davis Vaughan <davis@posit.co>

Diff between cpp11 versions 0.4.7 dated 2023-12-02 and 0.5.0 dated 2024-08-27

 DESCRIPTION                             |    8 
 MD5                                     |   84 +-
 NEWS.md                                 |  122 ++
 R/utils.R                               |    2 
 README.md                               |   10 
 build/vignette.rds                      |binary
 inst/doc/FAQ.R                          |    2 
 inst/doc/FAQ.Rmd                        |  154 ++-
 inst/doc/FAQ.html                       |  545 +++++++------
 inst/doc/converting.R                   |    4 
 inst/doc/converting.Rmd                 |  120 +-
 inst/doc/converting.html                |    8 
 inst/doc/cpp11.Rmd                      |  274 +++---
 inst/doc/cpp11.html                     |   26 
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 inst/doc/motivations.R                  |    3 
 inst/doc/motivations.Rmd                |  122 +-
 inst/doc/motivations.html               | 1076 +++++++++-----------------
 inst/include/cpp11/R.hpp                |   69 +
 inst/include/cpp11/data_frame.hpp       |   12 
 inst/include/cpp11/doubles.hpp          |  125 ---
 inst/include/cpp11/environment.hpp      |   10 
 inst/include/cpp11/external_pointer.hpp |    8 
 inst/include/cpp11/function.hpp         |   56 +
 inst/include/cpp11/integers.hpp         |  119 --
 inst/include/cpp11/list.hpp             |  136 +--
 inst/include/cpp11/list_of.hpp          |    4 
 inst/include/cpp11/logicals.hpp         |  119 --
 inst/include/cpp11/matrix.hpp           |    5 
 inst/include/cpp11/protect.hpp          |  156 ++-
 inst/include/cpp11/r_bool.hpp           |    2 
 inst/include/cpp11/r_vector.hpp         | 1312 +++++++++++++++++++++-----------
 inst/include/cpp11/raws.hpp             |  131 ---
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 tests/testthat/_snaps/register.md       |  106 ++
 tests/testthat/test-register.R          |  101 --
 vignettes/FAQ.Rmd                       |  154 ++-
 vignettes/converting.Rmd                |  120 +-
 vignettes/cpp11.Rmd                     |  274 +++---
 vignettes/internals.Rmd                 |   75 +
 vignettes/motivations.Rmd               |  122 +-
 43 files changed, 3136 insertions(+), 2911 deletions(-)

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Package IDSA (with last version 2.1) was removed from CRAN

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

2021-04-18 2.1
2021-01-28 1.2

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

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

2021-11-10 0.2.0
2021-01-16 0.1.0

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Package HS (with last version 1.1) was removed from CRAN

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

2019-09-10 1.1
2019-04-12 1.0

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Package shiny.worker (with last version 0.0.1) was removed from CRAN

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

2021-01-21 0.0.1

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Package EDA (with last version 1.3) was removed from CRAN

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

2019-11-10 1.3
2018-07-02 1.2
2018-01-15 1.0.1

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