Sat, 05 Nov 2022

Package ctv updated to version 0.9-4 with previous version 0.9-3 dated 2022-03-27

Title: CRAN Task Views
Description: Infrastructure for task views to CRAN-style repositories: Querying task views and installing the associated packages (client-side tools), generating HTML pages and storing task view information in the repository (server-side tools).
Author: Achim Zeileis [aut, cre] , Kurt Hornik [aut]
Maintainer: Achim Zeileis <Achim.Zeileis@R-project.org>

Diff between ctv versions 0.9-3 dated 2022-03-27 and 0.9-4 dated 2022-11-05

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Package assertr updated to version 3.0.0 with previous version 2.8 dated 2021-01-25

Title: Assertive Programming for R Analysis Pipelines
Description: Provides functionality to assert conditions that have to be met so that errors in data used in analysis pipelines can fail quickly. Similar to 'stopifnot()' but more powerful, friendly, and easier for use in pipelines.
Author: Tony Fischetti [aut, cre]
Maintainer: Tony Fischetti <tony.fischetti@gmail.com>

Diff between assertr versions 2.8 dated 2021-01-25 and 3.0.0 dated 2022-11-05

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Package libbib updated to version 1.6.4 with previous version 1.6.3 dated 2022-08-18

Title: Various Utilities for Library Science/Assessment and Cataloging
Description: Provides functions for validating and normalizing bibliographic codes such as ISBN, ISSN, and LCCN. Also includes functions to communicate with the WorldCat API, translate Call numbers (Library of Congress and Dewey Decimal) to their subject classifications or subclassifications, and provides various loadable data files such call number / subject crosswalks and code tables.
Author: Tony Fischetti [aut, cre]
Maintainer: Tony Fischetti <tony.fischetti@gmail.com>

Diff between libbib versions 1.6.3 dated 2022-08-18 and 1.6.4 dated 2022-11-05

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Package fGarch updated to version 4022.89 with previous version 4021.88 dated 2022-09-29

Title: Rmetrics - Autoregressive Conditional Heteroskedastic Modelling
Description: Analyze and model heteroskedastic behavior in financial time series.
Author: Diethelm Wuertz [aut] , Yohan Chalabi [aut], Tobias Setz [aut], Martin Maechler [aut] , Chris Boudt [ctb], Pierre Chausse [ctb], Michal Miklovac [ctb], Georgi N. Boshnakov [cre, ctb]
Maintainer: Georgi N. Boshnakov <georgi.boshnakov@manchester.ac.uk>

Diff between fGarch versions 4021.88 dated 2022-09-29 and 4022.89 dated 2022-11-05

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Package expss updated to version 0.11.4 with previous version 0.11.2 dated 2022-10-15

Title: Tables, Labels and Some Useful Functions from Spreadsheets and 'SPSS' Statistics
Description: Package computes and displays tables with support for 'SPSS'-style labels, multiple and nested banners, weights, multiple-response variables and significance testing. There are facilities for nice output of tables in 'knitr', 'Shiny', '*.xlsx' files, R and 'Jupyter' notebooks. Methods for labelled variables add value labels support to base R functions and to some functions from other packages. Additionally, the package brings popular data transformation functions from 'SPSS' Statistics and 'Excel': 'RECODE', 'COUNT', 'COUNTIF', 'VLOOKUP' and etc. These functions are very useful for data processing in marketing research surveys. Package intended to help people to move data processing from 'Excel' and 'SPSS' to R.
Author: Gregory Demin [aut, cre], Sebastian Jeworutzki [ctb] , Dan Chaltiel [ctb], John Williams [ctb], Tom Elliott [ctb]
Maintainer: Gregory Demin <gdemin@gmail.com>

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Package rngWELL updated to version 0.10-8 with previous version 0.10-7 dated 2021-10-26

Title: Toolbox for WELL Random Number Generators
Description: It is a dedicated package to WELL pseudo random generators, which were introduced in Panneton et al. (2006), ``Improved Long-Period Generators Based on Linear Recurrences Modulo 2'', see <doi:10.1145/1132973.1132974>. But this package is not intended to be used directly, you are strongly __encouraged__ to use the 'randtoolbox' package, which depends on this package.
Author: C code by F. Panneton [aut], P. L'Ecuyer [aut], M. Matsumoto [aut] and R port by Christophe Dutang [cre, aut], Petr Savicky [aut] <savicky@cs.cas.cz>
Maintainer: Christophe Dutang <dutangc@gmail.com>

Diff between rngWELL versions 0.10-7 dated 2021-10-26 and 0.10-8 dated 2022-11-05

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Package RcppEigen updated to version 0.3.3.9.3 with previous version 0.3.3.9.2 dated 2022-04-08

Title: 'Rcpp' Integration for the 'Eigen' Templated Linear Algebra Library
Description: R and 'Eigen' integration using 'Rcpp'. 'Eigen' is a C++ template library for linear algebra: matrices, vectors, numerical solvers and related algorithms. It supports dense and sparse matrices on integer, floating point and complex numbers, decompositions of such matrices, and solutions of linear systems. Its performance on many algorithms is comparable with some of the best implementations based on 'Lapack' and level-3 'BLAS'. The 'RcppEigen' package includes the header files from the 'Eigen' C++ template library (currently version 3.3.4). Thus users do not need to install 'Eigen' itself in order to use 'RcppEigen'. Since version 3.1.1, 'Eigen' is licensed under the Mozilla Public License (version 2); earlier version were licensed under the GNU LGPL version 3 or later. 'RcppEigen' (the 'Rcpp' bindings/bridge to 'Eigen') is licensed under the GNU GPL version 2 or later, as is the rest of 'Rcpp'.
Author: Douglas Bates, Dirk Eddelbuettel, Romain Francois, and Yixuan Qiu; the authors of Eigen for the included version of Eigen
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between RcppEigen versions 0.3.3.9.2 dated 2022-04-08 and 0.3.3.9.3 dated 2022-11-05

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Package clidatajp updated to version 0.5.1 with previous version 0.5.0 dated 2022-10-05

Title: Data from Japan Meteorological Agency
Description: Includes climate data from Japan Meteorological Agency ('JMA') <https://www.jma.go.jp/jma/indexe.html>. Can download climate data from 'JMA'.
Author: Toshikazu Matsumura [aut, cre]
Maintainer: Toshikazu Matsumura <matutosi@gmail.com>

Diff between clidatajp versions 0.5.0 dated 2022-10-05 and 0.5.1 dated 2022-11-05

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Package BHSBVAR updated to version 3.1.1 with previous version 3.0.1 dated 2021-06-10

Title: Structural Bayesian Vector Autoregression Models
Description: Provides a function for estimating the parameters of Structural Bayesian Vector Autoregression models with the method developed by Baumeister and Hamilton (2015) <doi:10.3982/ECTA12356>, Baumeister and Hamilton (2017) <doi:10.3386/w24167>, and Baumeister and Hamilton (2018) <doi:10.1016/j.jmoneco.2018.06.005>. Functions for plotting impulse responses, historical decompositions, and posterior distributions of model parameters are also provided.
Author: Paul Richardson
Maintainer: Paul Richardson <p.richardson.54391@gmail.com>

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Package ACEP updated to version 0.0.21 with previous version 0.0.2 dated 2022-10-30

Title: Analisis Computacional de Eventos de Protesta
Description: La libreria 'ACEP' contiene funciones especificas para desarrollar analisis computacional de eventos de protesta. Asimismo, contiene base de datos con colecciones de notas sobre protestas y diccionarios de palabras conflictivas. Coleccion de diccionarios que reune diccionarios de diferentes origenes. The 'ACEP' library contains specific functions to perform computational analysis of protest events. It also contains a database with collections of notes on protests and dictionaries of conflicting words. Collection of dictionaries that brings together dictionaries from different sources.
Author: Agustin Nieto [aut, cre]
Maintainer: Agustin Nieto <agustin.nieto77@gmail.com>

Diff between ACEP versions 0.0.2 dated 2022-10-30 and 0.0.21 dated 2022-11-05

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Package nflfastR updated to version 4.5.0 with previous version 4.4.0 dated 2022-08-06

Title: Functions to Efficiently Access NFL Play by Play Data
Description: A set of functions to access National Football League play-by-play data from <https://www.nfl.com/>.
Author: Sebastian Carl [aut], Ben Baldwin [cre, aut], Lee Sharpe [ctb], Maksim Horowitz [ctb], Ron Yurko [ctb], Samuel Ventura [ctb], Tan Ho [ctb], John Edwards [ctb]
Maintainer: Ben Baldwin <bbaldwin206@gmail.com>

Diff between nflfastR versions 4.4.0 dated 2022-08-06 and 4.5.0 dated 2022-11-05

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Package phase updated to version 1.2.6 with previous version 1.2.5 dated 2022-10-26

Title: Analyse Biological Time-Series Data
Description: Compiles functions to trim, bin, visualise, and analyse activity/sleep time-series data collected from the Drosophila Activity Monitor (DAM) system (Trikinetics, USA). The following methods were used to compute periodograms - Chi-square periodogram: Sokolove and Bushell (1978) <doi:10.1016/0022-5193(78)90022-X>, Lomb-Scargle periodogram: Lomb (1976) <doi:10.1007/BF00648343>, Scargle (1982) <doi:10.1086/160554> and Ruf (1999) <doi:10.1076/brhm.30.2.178.1422>, and Autocorrelation: Eijzenbach et al. (1986) <doi:10.1111/j.1440-1681.1986.tb00943.x>. Identification of activity peaks is done after using a Savitzky-Golay filter (Savitzky and Golay (1964) <doi:10.1021/ac60214a047>) to smooth raw activity data. Three methods to estimate anticipation of activity are used based on the following papers - Slope method: Fernandez et al. (2020) <doi:10.1016/j.cub.2020.04.025>, Harrisingh method: Harrisingh et al. (2007) <doi:10.1523/JNEUROSCI.3680-07.2007&g [...truncated...]
Author: Lakshman Abhilash [aut, cre]
Maintainer: Lakshman Abhilash <labhilash@gc.cuny.edu>

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Package sweater updated to version 0.1.7 with previous version 0.1.6 dated 2022-05-04

Title: Speedy Word Embedding Association Test and Extras Using R
Description: Conduct various tests for evaluating implicit biases in word embeddings: Word Embedding Association Test (Caliskan et al., 2017), <doi:10.1126/science.aal4230>, Relative Norm Distance (Garg et al., 2018), <doi:10.1073/pnas.1720347115>, Mean Average Cosine Similarity (Mazini et al., 2019) <arXiv:1904.04047>, SemAxis (An et al., 2018) <arXiv:1806.05521>, Relative Negative Sentiment Bias (Sweeney & Najafian, 2019) <doi:10.18653/v1/P19-1162>, and Embedding Coherence Test (Dev & Phillips, 2019) <arXiv:1901.07656>.
Author: Chung-hong Chan [aut, cre]
Maintainer: Chung-hong Chan <chainsawtiney@gmail.com>

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Package MKdescr updated to version 0.8 with previous version 0.7 dated 2021-08-05

Title: Descriptive Statistics
Description: Computation of standardized interquartile range (IQR), Huber-type skipped mean (Hampel (1985), <doi:10.2307/1268758>), robust coefficient of variation (CV) (Arachchige et al. (2019), <arXiv:1907.01110>), robust signal to noise ratio (SNR), z-score, standardized mean difference (SMD), as well as functions that support graphical visualization such as boxplots based on quartiles (not hinges), negative logarithms and generalized logarithms for 'ggplot2' (Wickham (2016), ISBN:978-3-319-24277-4).
Author: Matthias Kohl [aut, cre]
Maintainer: Matthias Kohl <Matthias.Kohl@stamats.de>

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Package naive updated to version 1.2.1 with previous version 1.2.0 dated 2022-08-17

Title: Empirical Extrapolation of Time Feature Patterns
Description: An application for the empirical extrapolation of time features selecting and summarizing the most relevant patterns in time sequences.
Author: Giancarlo Vercellino [aut, cre, cph]
Maintainer: Giancarlo Vercellino <giancarlo.vercellino@gmail.com>

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Package philentropy updated to version 0.7.0 with previous version 0.6.0 dated 2022-02-14

Title: Similarity and Distance Quantification Between Probability Functions
Description: Computes 46 optimized distance and similarity measures for comparing probability functions (Drost (2018) <doi:10.21105/joss.00765>). These comparisons between probability functions have their foundations in a broad range of scientific disciplines from mathematics to ecology. The aim of this package is to provide a core framework for clustering, classification, statistical inference, goodness-of-fit, non-parametric statistics, information theory, and machine learning tasks that are based on comparing univariate or multivariate probability functions.
Author: Hajk-Georg Drost [aut, cre] , Jakub Nowosad [ctb]
Maintainer: Hajk-Georg Drost <hajk-georg.drost@tuebingen.mpg.de>

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Package future.apply updated to version 1.10.0 with previous version 1.9.1 dated 2022-09-07

Title: Apply Function to Elements in Parallel using Futures
Description: Implementations of apply(), by(), eapply(), lapply(), Map(), .mapply(), mapply(), replicate(), sapply(), tapply(), and vapply() that can be resolved using any future-supported backend, e.g. parallel on the local machine or distributed on a compute cluster. These future_*apply() functions come with the same pros and cons as the corresponding base-R *apply() functions but with the additional feature of being able to be processed via the future framework.
Author: Henrik Bengtsson [aut, cre, cph], R Core Team [cph, ctb]
Maintainer: Henrik Bengtsson <henrikb@braju.com>

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Package badger updated to version 0.2.2 with previous version 0.2.1 dated 2022-05-31

Title: Badge for R Package
Description: Query information and generate badge for using in README and GitHub Pages.
Author: Guangchuang Yu [aut, cre] , Gregor de Cillia [ctb], Dirk Eddelbuettel [ctb], Maelle Salmon [ctb], Robrecht Cannoodt [ctb] , Alexander Rossell Hayes [ctb] , Waldir Leoncio [ctb]
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>

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