Mon, 13 Mar 2023

Package spatstat.explore updated to version 3.1-0 with previous version 3.0-6 dated 2023-01-26

Title: Exploratory Data Analysis for the 'spatstat' Family
Description: Functionality for exploratory data analysis and nonparametric analysis of spatial data, mainly spatial point patterns, in the 'spatstat' family of packages. (Excludes analysis of spatial data on a linear network, which is covered by the separate package 'spatstat.linnet'.) Methods include quadrat counts, K-functions and their simulation envelopes, nearest neighbour distance and empty space statistics, Fry plots, pair correlation function, kernel smoothed intensity, relative risk estimation with cross-validated bandwidth selection, mark correlation functions, segregation indices, mark dependence diagnostics, and kernel estimates of covariate effects. Formal hypothesis tests of random pattern (chi-squared, Kolmogorov-Smirnov, Monte Carlo, Diggle-Cressie-Loosmore-Ford, Dao-Genton, two-stage Monte Carlo) and tests for covariate effects (Cox-Berman-Waller-Lawson, Kolmogorov-Smirnov, ANOVA) are also supported.
Author: Adrian Baddeley [aut, cre, cph] , Rolf Turner [aut, cph] , Ege Rubak [aut, cph] , Kasper Klitgaard Berthelsen [ctb], Warick Brown [cph], Achmad Choiruddin [ctb], Jean-Francois Coeurjolly [ctb], Ottmar Cronie [ctb], Tilman Davies [ctb, cph], Julian Gi [...truncated...]
Maintainer: Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>

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Package mvMORPH updated to version 1.1.7 with previous version 1.1.6 dated 2022-05-10

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, with contributions from Aaron King, and Emmanuel Paradis
Maintainer: Julien Clavel <julien.clavel@hotmail.fr>

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Package flextable updated to version 0.9.0 with previous version 0.8.6 dated 2023-02-23

Title: Functions for Tabular Reporting
Description: Use a grammar for creating and customizing pretty tables. The following formats are supported: 'HTML', 'PDF', 'RTF', 'Microsoft Word', 'Microsoft PowerPoint' and R 'Grid Graphics'. 'R Markdown', 'Quarto' and the package 'officer' can be used to produce the result files. The syntax is the same for the user regardless of the type of output to be produced. A set of functions allows the creation, definition of cell arrangement, addition of headers or footers, formatting and definition of cell content with text and or images. The package also offers a set of high-level functions that allow tabular reporting of statistical models and the creation of complex cross tabulations.
Author: David Gohel [aut, cre], ArData [cph], Clementine Jager [ctb], Panagiotis Skintzos [aut], Quentin Fazilleau [ctb], Maxim Nazarov [ctb] , Titouan Robert [ctb], Michael Barrowman [ctb] , Atsushi Yasumoto [ctb] , Paul Julian [ctb] , Sean Browning [ctb] , [...truncated...]
Maintainer: David Gohel <david.gohel@ardata.fr>

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Package rtop updated to version 0.6-2 with previous version 0.5-14 dated 2018-04-06

Title: Interpolation of Data with Variable Spatial Support
Description: Geostatistical interpolation of data with irregular spatial support such as runoff related data or data from administrative units.
Author: Jon Olav Skoien [aut, cre], Qingyun Duan [ctb]
Maintainer: Jon Olav Skoien <jon.skoien@gmail.com>

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Package socialranking updated to version 1.0.0 with previous version 0.1.2 dated 2022-10-27

Title: Social Ranking Solutions for Power Relations on Coalitions
Description: The notion of power index has been widely used in literature to evaluate the influence of individual players (e.g., voters, political parties, nations, stockholders, etc.) involved in a collective decision situation like an electoral system, a parliament, a council, a management board, etc., where players may form coalitions. Traditionally this ranking is determined through numerical evaluation. More often than not however only ordinal data between coalitions is known. The package 'socialranking' offers a set of solutions to rank players based on a transitive ranking between coalitions, including through CP-Majority, ordinal Banzhaf or lexicographic excellence solution summarized by Tahar Allouche, Bruno Escoffier, Stefano Moretti and Meltem Öztürk (2020, <doi:10.24963/ijcai.2020/3>).
Author: Felix Fritz [aut, cre], Jochen Staudacher [aut, cph, ths], Moretti Stefano [aut, cph, ths]
Maintainer: Felix Fritz <felix.fritz@dauphine.eu>

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Package rethnicity updated to version 0.2.4 with previous version 0.2.3 dated 2022-05-31

Title: Predicting Ethnic Group from Names
Description: Implementation of the race/ethnicity prediction method, described in "rethnicity: An R package for predicting ethnicity from names" by Fangzhou Xie (2022) <doi:10.1016/j.softx.2021.100965> and "Rethnicity: Predicting Ethnicity from Names" by Fangzhou Xie (2021) <arXiv:2109.09228>.
Author: Fangzhou Xie [aut, cre]
Maintainer: Fangzhou Xie <fangzhou.xie@rutgers.edu>

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Package mcMST updated to version 1.1.1 with previous version 1.0.1 dated 2017-09-18

Title: A Toolbox for the Multi-Criteria Minimum Spanning Tree Problem
Description: Algorithms to approximate the Pareto-front of multi-criteria minimum spanning tree problems.
Author: Jakob Bossek [aut, cre]
Maintainer: Jakob Bossek <j.bossek@gmail.com>

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Package Compositional updated to version 6.2 with previous version 6.1 dated 2023-01-08

Title: Compositional Data Analysis
Description: Regression, classification, contour plots, hypothesis testing and fitting of distributions for compositional data are some of the functions included. We further include functions for percentages (or proportions). The standard textbook for such data is John Aitchison's (1986) "The statistical analysis of compositional data". Relevant papers include: a) Tsagris M.T., Preston S. and Wood A.T.A. (2011). A data-based power transformation for compositional data. Fourth International International Workshop on Compositional Data Analysis. b) Tsagris M. (2014). The k-NN algorithm for compositional data: a revised approach with and without zero values present. Journal of Data Science, 12(3):519--534. c) Tsagris M. (2015). A novel, divergence based, regression for compositional data. Proceedings of the 28th Panhellenic Statistics Conference, 15-18 April 2015, Athens, Greece, 430--444. d) Tsagris M. (2015). Regression analysis with compositional data containing zero values. Chilean Journal of Stat [...truncated...]
Author: Michail Tsagris [aut, cre], Giorgos Athineou [aut], Abdulaziz Alenazi [ctb], Christos Adam [ctb]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>

Diff between Compositional versions 6.1 dated 2023-01-08 and 6.2 dated 2023-03-13

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Package tiledb updated to version 0.19.0 with previous version 0.18.0 dated 2023-01-19

Title: Universal Storage Engine for Sparse and Dense Multidimensional Arrays
Description: The universal storage engine 'TileDB' introduces a powerful on-disk format for multi-dimensional arrays. It supports dense and sparse arrays, dataframes and key-values stores, cloud storage ('S3', 'GCS', 'Azure'), chunked arrays, multiple compression, encryption and checksum filters, uses a fully multi-threaded implementation, supports parallel I/O, data versioning ('time travel'), metadata and groups. It is implemented as an embeddable cross-platform C++ library with APIs from several languages, and integrations.
Author: TileDB, Inc. [aut, cph], Dirk Eddelbuettel [cre]
Maintainer: Dirk Eddelbuettel <dirk@tiledb.com>

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Package sjPlot updated to version 2.8.13 with previous version 2.8.12 dated 2022-11-19

Title: Data Visualization for Statistics in Social Science
Description: Collection of plotting and table output functions for data visualization. Results of various statistical analyses (that are commonly used in social sciences) can be visualized using this package, including simple and cross tabulated frequencies, histograms, box plots, (generalized) linear models, mixed effects models, principal component analysis and correlation matrices, cluster analyses, scatter plots, stacked scales, effects plots of regression models (including interaction terms) and much more. This package supports labelled data.
Author: Daniel Luedecke [aut, cre] , Alexander Bartel [ctb] , Carsten Schwemmer [ctb], Chuck Powell [ctb] , Amir Djalovski [ctb], Johannes Titz [ctb]
Maintainer: Daniel Luedecke <d.luedecke@uke.de>

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Package polymapR updated to version 1.1.3 with previous version 1.1.2 dated 2021-03-09

Title: Linkage Analysis in Outcrossing Polyploids
Description: Creation of linkage maps in polyploid species from marker dosage scores of an F1 cross from two heterozygous parents. Currently works for outcrossing diploid, autotriploid, autotetraploid and autohexaploid species, as well as segmental allotetraploids. Methods are described in a manuscript of Bourke et al. (2018) <doi:10.1093/bioinformatics/bty371>. Since version 1.1.0, both discrete and probabilistic genotypes are acceptable input; for more details on the latter see Liao et al. (2021) <doi:10.1007/s00122-021-03834-x>.
Author: Peter Bourke [aut, cre], Geert van Geest [aut], Roeland Voorrips [ctb], Yanlin Liao [ctb]
Maintainer: Peter Bourke <pbourkey@gmail.com>

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Package gmvjoint updated to version 0.2.0 with previous version 0.1.0 dated 2022-12-07

Title: Joint Models of Survival and Multivariate Longitudinal Data
Description: Fit joint models of survival and multivariate longitudinal data. The longitudinal data is specified by generalised linear mixed models. The joint models are fit via maximum likelihood using an approximate expectation maximisation algorithm. Bernhardt (2015) <doi:10.1016/j.csda.2014.11.011>.
Author: James Murray [aut, cre]
Maintainer: James Murray <j.murray7@ncl.ac.uk>

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Package Gmisc updated to version 3.0.2 with previous version 3.0.1 dated 2022-11-19

Title: Descriptive Statistics, Transition Plots, and More
Description: Tools for making the descriptive "Table 1" used in medical articles, a transition plot for showing changes between categories (also known as a Sankey diagram), flow charts by extending the grid package, a method for variable selection based on the SVD, Bézier lines with arrows complementing the ones in the 'grid' package, and more.
Author: Max Gordon <max@gforge.se>
Maintainer: Max Gordon <max@gforge.se>

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Package CHNOSZ updated to version 2.0.0 with previous version 1.4.3 dated 2022-02-21

Title: Thermodynamic Calculations and Diagrams for Geochemistry
Description: An integrated set of tools for thermodynamic calculations in aqueous geochemistry and geobiochemistry. Functions are provided for writing balanced reactions to form species from user-selected basis species and for calculating the standard molal properties of species and reactions, including the standard Gibbs energy and equilibrium constant. Calculations of the non-equilibrium chemical affinity and equilibrium chemical activity of species can be portrayed on diagrams as a function of temperature, pressure, or activity of basis species; in two dimensions, this gives a maximum affinity or predominance diagram. The diagrams have formatted chemical formulas and axis labels, and water stability limits can be added to Eh-pH, oxygen fugacity- temperature, and other diagrams with a redox variable. The package has been developed to handle common calculations in aqueous geochemistry, such as solubility due to complexation of metal ions, mineral buffers of redox or pH, and changing the basis spec [...truncated...]
Author: Jeffrey Dick [aut, cre]
Maintainer: Jeffrey Dick <j3ffdick@gmail.com>

Diff between CHNOSZ versions 1.4.3 dated 2022-02-21 and 2.0.0 dated 2023-03-13

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More information about CHNOSZ at CRAN
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Package betapart updated to version 1.6 with previous version 1.5.6 dated 2022-04-06

Title: Partitioning Beta Diversity into Turnover and Nestedness Components
Description: Functions to compute pair-wise dissimilarities (distance matrices) and multiple-site dissimilarities, separating the turnover and nestedness-resultant components of taxonomic (incidence and abundance based), functional and phylogenetic beta diversity.
Author: Andres Baselga [aut, cre], David Orme [aut], Sebastien Villeger [aut], Julien De Bortoli [aut], Fabien Leprieur [aut], Maxime Logez [aut], Sara Martinez-Santalla [aut], Ramiro Martin-Devasa [aut], Carola Gomez-Rodriguez [aut], Rosa M. Crujeiras [aut] [...truncated...]
Maintainer: Andres Baselga <andres.baselga@usc.es>

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Package antaresRead updated to version 2.5.0 with previous version 2.4.2 dated 2023-02-14

Title: Import, Manipulate and Explore the Results of an 'Antares' Simulation
Description: Import, manipulate and explore results generated by 'Antares', a powerful open source software developed by RTE (Réseau de Transport d’Électricité) to simulate and study electric power systems (more information about 'Antares' here : <https://antares-simulator.org/>).
Author: Veronique Bachelier [aut, cre], Jalal-Edine ZAWAM [aut], Frederic Breant [ctb], Francois Guillem [aut], Benoit Thieurmel [aut], Titouan Robert [aut], Victor Perrier [ctb], Etienne Sanchez [ctb], Assil Mansouri [ctb], RTE [cph]
Maintainer: Veronique Bachelier <veronique.bachelier@rte-france.com>

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Package altair updated to version 4.2.2 with previous version 4.2.1 dated 2022-02-14

Title: Interface to 'Altair'
Description: Interface to 'Altair' <https://altair-viz.github.io>, which itself is a 'Python' interface to 'Vega-Lite' <https://vega.github.io/vega-lite/>. This package uses the 'Reticulate' framework <https://rstudio.github.io/reticulate/> to manage the interface between R and 'Python'.
Author: Ian Lyttle [aut, cre] , Haley Jeppson [aut], Altair Developers [aut], Alicia Schep [ctb] , Jake Vanderplas [ctb] , Brian Granger [ctb]
Maintainer: Ian Lyttle <ijlyttle@me.com>

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Package RoBTT updated to version 1.0.1 with previous version 1.0.0 dated 2022-09-20

Title: Robust Bayesian T-Test
Description: An implementation of Bayesian model-averaged t-test that allows users to draw inference about the presence vs absence of the effect, heterogeneity of variances, and outliers. The 'RoBTT' packages estimates model ensembles of models created as a combination of the competing hypotheses and uses Bayesian model-averaging to combine the models using posterior model probabilities. Users can obtain the model-averaged posterior distributions and inclusion Bayes factors which account for the uncertainty in the data generating process (Maier et al., 2022, <doi:10.31234/osf.io/d5zwc>). Users can define a wide range of informative priors for all parameters of interest. The package provides convenient functions for summary, visualizations, and fit diagnostics.
Author: Frantisek Bartos [aut, cre] , Maximilian Maier [aut]
Maintainer: Frantisek Bartos <f.bartos96@gmail.com>

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Package RoBSA updated to version 1.0.1 with previous version 1.0.0 dated 2022-05-27

Title: Robust Bayesian Survival Analysis
Description: A framework for estimating ensembles of parametric survival models with different parametric families. The RoBSA framework uses Bayesian model-averaging to combine the competing parametric survival models into a model ensemble, weights the posterior parameter distributions based on posterior model probabilities and uses Bayes factors to test for the presence or absence of the individual predictors or preference for a parametric family (Bartoš, Aust & Haaf, 2021, <doi:10.48550/arXiv.2112.08311>). The user can define a wide range of informative priors for all parameters of interest. The package provides convenient functions for summary, visualizations, fit diagnostics, and prior distribution calibration.
Author: Frantisek Bartos [aut, cre] , Julia M. Haaf [ths] , Matthew Denwood [cph] , Martyn Plummer [cph]
Maintainer: Frantisek Bartos <f.bartos96@gmail.com>

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Package RoBMA updated to version 2.3.2 with previous version 2.3.1 dated 2022-07-16

Title: Robust Bayesian Meta-Analyses
Description: A framework for estimating ensembles of meta-analytic models (assuming either presence or absence of the effect, heterogeneity, and publication bias). The RoBMA framework uses Bayesian model-averaging to combine the competing meta-analytic models into a model ensemble, weights the posterior parameter distributions based on posterior model probabilities and uses Bayes factors to test for the presence or absence of the individual components (e.g., effect vs. no effect; Bartoš et al., 2021, <doi:10.31234/osf.io/kvsp7>; Maier, Bartoš & Wagenmakers, in press, <doi:10.31234/osf.io/u4cns>). Users can define a wide range of non-informative or informative prior distributions for the effect size, heterogeneity, and publication bias components (including selection models and PET-PEESE). The package provides convenient functions for summary, visualizations, and fit diagnostics.
Author: Frantisek Bartos [aut, cre] , Maximilian Maier [aut] , Eric-Jan Wagenmakers [ths] , Joris Goosen [ctb], Matthew Denwood [cph] , Martyn Plummer [cph]
Maintainer: Frantisek Bartos <f.bartos96@gmail.com>

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Package idarps updated to version 0.0.2 with previous version 0.0.1 dated 2023-01-27

Title: Datasets and Functions for the Class "Modelling and Data Analysis for Pharmaceutical Sciences"
Description: Provides datasets and functions for the class "Modelling and Data Analysis for Pharmaceutical Sciences". The datasets can be used to present various methods of data analysis and statistical modeling. Functions for data visualization are also implemented.
Author: Lionel Voirol [aut, cre], Stephane Guerrier [aut], Yuming Zhang [aut], Luca Insolia [aut]
Maintainer: Lionel Voirol <lionelvoirol@hotmail.com>

Diff between idarps versions 0.0.1 dated 2023-01-27 and 0.0.2 dated 2023-03-13

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Package afpt updated to version 1.1.0.3 with previous version 1.1.0.2 dated 2022-05-30

Title: Tools for Modelling of Animal Flight Performance
Description: Allows estimation and modelling of flight costs in animal (vertebrate) flight, implementing the aerodynamic power model described in Klein Heerenbrink et al. (2015) <doi:10.1098/rspa.2014.0952>. Taking inspiration from the program 'Flight', developed by Colin Pennycuick (Pennycuick (2008) "Modelling the flying bird". Amsterdam: Elsevier. ISBN 0-19-857721-4), flight performance is estimated based on basic morphological measurements such as body mass, wingspan and wing area. 'afpt' can be used to make predictions on how animals should adjust their flight behaviour and wingbeat kinematics to varying flight conditions.
Author: Marco KleinHeerenbrink [aut, cre] , Anders Hedenstroem [fnd]
Maintainer: Marco KleinHeerenbrink <Marco.KleinHeerenbrink@biology.ox.ac.uk>

Diff between afpt versions 1.1.0.2 dated 2022-05-30 and 1.1.0.3 dated 2023-03-13

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Package shar updated to version 2.0.3 with previous version 2.0.2 dated 2022-11-16

Title: Species-Habitat Associations
Description: Analyse species-habitat associations in R. Therefore, information about the location of the species (as a point pattern) is needed together with environmental conditions (as a categorical raster). To test for significance habitat associations, one of the two components is randomized. Methods are mainly based on Plotkin et al. (2000) <doi:10.1006/jtbi.2000.2158> and Harms et al. (2001) <doi:10.1111/j.1365-2745.2001.00615.x>.
Author: Maximilian H.K. Hesselbarth [aut, cre] , Marco Sciaini [aut] , Zeke Marshall [ctb] , Thomas Etherington [ctb] , Janosch Heinermann [ctb]
Maintainer: Maximilian H.K. Hesselbarth <mhk.hesselbarth@gmail.com>

Diff between shar versions 2.0.2 dated 2022-11-16 and 2.0.3 dated 2023-03-13

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Package ramps updated to version 0.6.18 with previous version 0.6.17 dated 2022-08-24

Title: Bayesian Geostatistical Modeling with RAMPS
Description: Bayesian geostatistical modeling of Gaussian processes using a reparameterized and marginalized posterior sampling (RAMPS) algorithm designed to lower autocorrelation in MCMC samples. Package performance is tuned for large spatial datasets.
Author: Brian J Smith [aut, cre], Jun Yan [aut], Mary Kathryn Cowles [aut]
Maintainer: Brian J Smith <brian-j-smith@uiowa.edu>

Diff between ramps versions 0.6.17 dated 2022-08-24 and 0.6.18 dated 2023-03-13

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Package plasma updated to version 1.0.0 with previous version 0.9.21 dated 2022-12-06

Title: Partial LeAst Squares for Multiomic Analysis
Description: Contains tools for supervised analyses of incomplete, overlapping multiomics datasets. Applies partial least squares in multiple steps to find models that predict survival outcomes. See Yamaguchi et al. (2023) <doi:10.1101/2023.03.10.532096>.
Author: Kevin R. Coombes [cre, aut], Kyoko Yamaguchi [aut], Salma Abdelbaky [aut]
Maintainer: Kevin R. Coombes <krc@silicovore.com>

Diff between plasma versions 0.9.21 dated 2022-12-06 and 1.0.0 dated 2023-03-13

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New package hht with initial version 2.1.6
Package: hht
Title: The Hilbert-Huang Transform: Tools and Methods
Version: 2.1.6
Date: 2023-03-12
Depends: R (>= 3.1.1)
Imports: EMD (>= 1.5.5), fields (>= 6.7.6)
Description: Builds on the EMD package to provide additional tools for empirical mode decomposition (EMD) and Hilbert spectral analysis. It also implements the ensemble empirical decomposition (EEMD) and the complete ensemble empirical mode decomposition (CEEMD) methods to avoid mode mixing and intermittency problems found in EMD analysis. The package comes with several plotting methods that can be used to view intrinsic mode functions, the HHT spectrum, and the Fourier spectrum.
License: GPL (>= 3)
Maintainer: Daniel C. Bowman <danny.c.bowman@gmail.com>
Author: Daniel C. Bowman [aut, cre], Jonathan M. Lees [ctb]
NeedsCompilation: no
Repository: CRAN
Packaged: 2023-03-13 01:59:52 UTC; dantayaga
Date/Publication: 2023-03-13 14:30:06 UTC

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New package greencrab.toolkit with initial version 0.1
Package: greencrab.toolkit
Title: Run 'Stan' Models to Interpret Green Crab Monitoring Assessments
Version: 0.1
Maintainer: Abigail G. Keller <agkeller@berkeley.edu>
Description: These Bayesian models written in the 'Stan' probabilistic language can be used to interpret green crab trapping and environmental DNA monitoring data, either independently or jointly. Detailed model information is found in Keller (2022) <doi:10.1002/eap.2561>.
License: GPL-3
Encoding: UTF-8
Biarch: true
Depends: R (>= 3.4.0)
Imports: methods, Rcpp (>= 0.12.0), RcppParallel (>= 5.0.1), rstan (>= 2.18.1), rstantools (>= 2.2.0)
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)
SystemRequirements: GNU make
NeedsCompilation: yes
Packaged: 2023-03-12 17:11:04 UTC; abby
Author: Abigail G. Keller [aut, cre]
Repository: CRAN
Date/Publication: 2023-03-13 14:30:10 UTC

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New package GeoAdjust with initial version 1.0.0
Package: GeoAdjust
Title: Accounting for Random Displacements of True GPS Coordinates of Data
Version: 1.0.0
Description: The purpose is to account for the random displacements (jittering) of true survey household cluster center coordinates in geostatistical analyses of Demographic and Health Surveys program (DHS) data. Adjustment for jittering can be implemented either in the spatial random effect, or in the raster/distance based covariates, or in both. Detailed information about the methods behind the package functionality can be found in two preprints. Umut Altay, John Paige, Andrea Riebler, Geir-Arne Fuglstad (2022) <arXiv:2202.11035v2>. Umut Altay, John Paige, Andrea Riebler, Geir-Arne Fuglstad (2022) <arXiv:2211.07442v1>.
Encoding: UTF-8
Suggests: INLA, knitr, rmarkdown, testthat (>= 3.0.0), rgdal, maptools
Depends: R (>= 3.5)
LinkingTo: TMB, RcppEigen
License: GPL (>= 2)
Imports: raster, sp, stats, rgeos, SUMMER, Matrix, ggplot2, fields, geosphere, TMB
Additional_repositories: https://inla.r-inla-download.org/R/stable/
NeedsCompilation: yes
Packaged: 2023-03-11 00:34:29 UTC; umuta
Author: Umut Altay [cre, aut], John Paige [aut], Geir-Arne Fuglstad [aut], Andrea Riebler [aut]
Maintainer: Umut Altay <altayumut.ua@gmail.com>
Repository: CRAN
Date/Publication: 2023-03-13 14:10:06 UTC

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New package webtrackR with initial version 0.0.1
Package: webtrackR
Title: Analysing Web Tracking Data and Online News Behaviour
Version: 0.0.1
Description: Implements data structures and methods to work with web tracking data. This includes data preprocessing steps, methods to construct audience networks as described in Mangold & Scharkow (2020) <doi:10.1080/19312458.2020.1724274>, and metrics of news audience polarization described in Mangold & Scharkow (2022) <doi:10.1080/19312458.2022.2085249>.
URL: https://github.com/schochastics/webtrackR
BugReports: https://github.com/schochastics/webtrackR/issues
Depends: R (>= 3.2.0)
License: MIT + file LICENSE
Encoding: UTF-8
Imports: data.table, tibble, igraph, urltools, utils
LazyData: true
Suggests: backbone, stats, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2023-03-10 08:45:48 UTC; david
Author: David Schoch [aut, cre] , Frank Mangold [aut] , Sebastian Stier [aut]
Maintainer: David Schoch <david@schochastics.net>
Repository: CRAN
Date/Publication: 2023-03-13 13:30:02 UTC

More information about webtrackR at CRAN
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New package walkscore with initial version 0.1.2
Package: walkscore
Title: A Tidy Interface to the 'Walk Score' API
Version: 0.1.2
Description: Easily collect walk scores, bike scores, and transit scores (where available) from the 'Walk Score' API <https://www.walkscore.com/professional/api.php>, a proprietary API that assigns locations a walkability score between 0 and 100.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr, httr, tidyr
URL: https://github.com/chris31415926535/walkscore
BugReports: https://github.com/chris31415926535/walkscore/issues
NeedsCompilation: no
Packaged: 2023-03-10 19:40:07 UTC; christopher
Author: Christopher Belanger [aut, cre, cph]
Maintainer: Christopher Belanger <christopher.a.belanger@gmail.com>
Repository: CRAN
Date/Publication: 2023-03-13 13:50:02 UTC

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New package sparvaride with initial version 0.1.0
Package: sparvaride
Title: Variance Identification in Sparse Factor Analysis
Version: 0.1.0
Description: This is an implementation of the algorithm described in Section 3 of Hosszejni and Frühwirth-Schnatter (2022) <doi:10.48550/arXiv.2211.00671>. The algorithm is used to verify that the counting rule CR(r,1) holds for the sparsity pattern of the transpose of a factor loading matrix. As detailed in Section 2 of the same paper, if CR(r,1) holds, then the idiosyncratic variances are generically identified. If CR(r,1) does not hold, then we do not know whether the idiosyncratic variances are identified or not.
License: GPL (>= 3)
Encoding: UTF-8
BuildResaveData: best
VignetteBuilder: knitr
BugReports: https://github.com/hdarjus/sparvaride/issues
URL: https://hdarjus.github.io/sparvaride/
Depends: R (>= 4.1)
Imports: Rcpp
LinkingTo: RcppArmadillo, Rcpp
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
NeedsCompilation: yes
Packaged: 2023-03-10 12:14:03 UTC; dhosszej
Author: Darjus Hosszejni [aut, cre] , Sylvia Fruehwirth-Schnatter [ths]
Maintainer: Darjus Hosszejni <darjus.hosszejni@wu.ac.at>
Repository: CRAN
Date/Publication: 2023-03-13 13:30:05 UTC

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Package shinyCohortBuilder updated to version 0.2.0 with previous version 0.1 dated 2022-06-23

Title: Modular Cohort-Building Framework for Analytical Dashboards
Description: You can easily add advanced cohort-building component to your analytical dashboard or simple 'Shiny' app. Then you can instantly start building cohorts using multiple filters of different types, filtering datasets, and filtering steps. Filters can be complex and data-specific, and together with multiple filtering steps you can use complex filtering rules. The cohort-building sidebar panel allows you to easily work with filters, add and remove filtering steps. It helps you with handling missing values during filtering, and provides instant filtering feedback with filter feedback plots. The GUI panel is not only compatible with native shiny bookmarking, but also provides reproducible R code.
Author: Krystian Igras [cre, aut], Kamil Wais [aut], Adam Forys [ctb]
Maintainer: Krystian Igras <krystian8207@gmail.com>

Diff between shinyCohortBuilder versions 0.1 dated 2022-06-23 and 0.2.0 dated 2023-03-13

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New package scribe with initial version 0.1.0
Package: scribe
Title: Command Argument Parsing
Version: 0.1.0
Maintainer: Jordan Mark Barbone <jmbarbone@gmail.com>
Description: A base dependency solution with basic argument parsing for use with 'Rscript'.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
Depends: R (>= 3.6)
Imports: methods, utils
Suggests: covr, knitr, rmarkdown, spelling, testthat (>= 3.1.0), withr
VignetteBuilder: knitr
URL: https://jmbarbone.github.io/scribe/
NeedsCompilation: no
Packaged: 2023-03-08 02:21:04 UTC; jordan
Author: Jordan Mark Barbone [aut, cph, cre]
Repository: CRAN
Date/Publication: 2023-03-13 13:20:02 UTC

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New package RolWinWavCor with initial version 0.4.0
Package: RolWinWavCor
Title: Estimate Rolling Window Wavelet Correlation Between Two Time Series
Version: 0.4.0
Maintainer: Josue M. Polanco-Martinez <josue.m.polanco@gmail.com>
Depends: R (>= 3.6.0), waveslim
Description: Estimates and plots as a heat map the rolling window wavelet correlation (RWWC) coefficients statistically significant (within the 95% CI) between two regular (evenly spaced) time series. 'RolWinWavCor' also plots at the same graphic the time series under study. The 'RolWinWavCor' was designed for financial time series, but this software can be used with other kinds of data (e.g., climatic, ecological, geological, etc). The functions contained in 'RolWinWavCor' are highly flexible since these contains some parameters to personalize the time series under analysis and the heat maps of the rolling window wavelet correlation coefficients. Moreover, we have also included a data set (named EU_stock_markets) that contains nine European stock market indices to exemplify the use of the functions contained in 'RolWinWavCor'. Methods derived from Polanco-Martínez et al (2018) <doi:10.1016/j.physa.2017.08.065>).
License: GPL (>= 2)
Repository: CRAN
Encoding: UTF-8
LazyData: true
Date/Publication: 2023-03-13 13:20:05 UTC
NeedsCompilation: no
Packaged: 2023-03-09 21:31:48 UTC; jomopo
Author: Josue M. Polanco-Martinez [aut, cph, cre]

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New package RmdConcord with initial version 0.1.4
Package: RmdConcord
Title: Concordances for 'R Markdown'
Version: 0.1.4
Description: Supports concordances in 'R Markdown' documents. This currently allows the original source location in the '.Rmd' file of errors detected by 'HTML tidy' to be found more easily, and potentially allows forward and reverse search in 'HTML' and 'LaTeX' documents produced from 'R Markdown'. The 'LaTeX' support has been included in the most recent development version of the 'patchDVI' package.
License: GPL-2
Encoding: UTF-8
URL: https://github.com/dmurdoch/RmdConcord, https://dmurdoch.github.io/RmdConcord/
BugReports: https://github.com/dmurdoch/RmdConcord/issues
Imports: rmarkdown, tools, knitr (>= 1.42)
VignetteBuilder: knitr, rmarkdown
NeedsCompilation: no
Packaged: 2023-03-10 18:11:06 UTC; murdoch
Author: Duncan Murdoch [aut, cre], Heather Turner [ctb]
Maintainer: Duncan Murdoch <murdoch.duncan@gmail.com>
Repository: CRAN
Date/Publication: 2023-03-13 13:50:09 UTC

More information about RmdConcord at CRAN
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Package populR updated to version 0.2.1 with previous version 0.2.0 dated 2023-01-12

Title: Population Downscaling Using Areal Interpolation
Description: Given a set of source zone polygons such as census tracts or city blocks alongside with population counts and a target zone of incogruent yet superimposed polygon features (such as individual buildings) populR transforms population counts from the former to the latter using Areal Interpolation methods.
Author: Marios Batsaris
Maintainer: Marios Batsaris <m.batsaris@aegean.gr>

Diff between populR versions 0.2.0 dated 2023-01-12 and 0.2.1 dated 2023-03-13

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New package mlbplotR with initial version 1.0.1
Package: mlbplotR
Title: Create 'ggplot2' and 'gt' Visuals with Major League Baseball Logos
Version: 1.0.1
Description: Tools to help visualize Major League Baseball analysis in 'ggplot2' and 'gt'. You provide team/player information and 'mlbplotR' will transform that information into team colors, logos, or player headshots for graphics.
URL: https://github.com/camdenk/mlbplotR, https://camdenk.github.io/mlbplotR/
BugReports: https://github.com/camdenk/mlbplotR/issues
Imports: cli, data.table, ggplot2, gt, lifecycle, magick, magrittr, rlang, scales
Suggests: base64enc, dplyr, ggtext, gridtext, knitr, rsvg, rmarkdown, rstudioapi, sjmisc
Encoding: UTF-8
License: MIT + file LICENSE
Depends: R (>= 3.5.0)
NeedsCompilation: no
Packaged: 2023-03-10 14:30:54 UTC; camdenkay
Author: Sebastian Carl [aut], Camden Kay [aut, cre, cph]
Maintainer: Camden Kay <camden.kay23@gmail.com>
Repository: CRAN
Date/Publication: 2023-03-13 13:40:02 UTC

More information about mlbplotR at CRAN
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New package coconots with initial version 1.1
Package: coconots
Title: Convolution-Closed Models for Count Time Series
Version: 1.1
Date: 2023-3-9
Description: Useful tools for fitting, validating, and forecasting of practical convolution-closed time series models for low counts are provided. Marginal distributions of the data can be modeled via Poisson and Generalized Poisson innovations. Regression effects can be modelled via time varying innovation rates. The models are described in Jung and Tremayne (2011) <doi:10.1111/j.1467-9892.2010.00697.x> and the model assessment tools are presented in Czado et al. (2009) <doi:10.1111/j.1541-0420.2009.01191.x>, Gneiting and Raftery (2007) <doi:10.1198/016214506000001437> and, Tsay (1992) <doi:10.2307/2347612>.
Imports: Rcpp, forecast, numDeriv, HMMpa, stats, ggplot2, utils, matrixStats, JuliaConnectoR
LazyData: true
LinkingTo: Rcpp, StanHeaders (>= 2.21.0), RcppParallel (>= 5.0.1)
Depends: R (>= 3.5.0)
Suggests: covr, testthat (>= 3.0.0)
License: MIT + file LICENSE
NeedsCompilation: yes
Packaged: 2023-03-10 14:10:23 UTC; manuel
Author: Manuel Huth [aut, cre], Robert C. Jung [aut], Andy Tremayne [aut]
Maintainer: Manuel Huth <manuel.huth@yahoo.com>
Repository: CRAN
Date/Publication: 2023-03-13 13:30:12 UTC

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Package bdc updated to version 1.1.4 with previous version 1.1.2 dated 2022-08-18

Title: Biodiversity Data Cleaning
Description: It brings together several aspects of biodiversity data-cleaning in one place. 'bdc' is organized in thematic modules related to different biodiversity dimensions, including 1) Merge datasets: standardization and integration of different datasets; 2) Pre-filter: flagging and removal of invalid or non-interpretable information, followed by data amendments; 3) Taxonomy: cleaning, parsing, and harmonization of scientific names from several taxonomic groups against taxonomic databases locally stored through the application of exact and partial matching algorithms; 4) Space: flagging of erroneous, suspect, and low-precision geographic coordinates; and 5) Time: flagging and, whenever possible, correction of inconsistent collection date. In addition, it contains features to visualize, document, and report data quality – which is essential for making data quality assessment transparent and reproducible. The reference for the methodology is Bruno et al. (2022) <doi:10.1111/2041-210X.13868> [...truncated...]
Author: Bruno Ribeiro [aut, cre] , Santiago Velazco [aut] , Karlo Guidoni-Martins [aut] , Geiziane Tessarolo [aut] , Lucas Jardim [aut] , Steven Bachman [ctb] , Rafael Loyola [ctb]
Maintainer: Bruno Ribeiro <ribeiro.brr@gmail.com>

Diff between bdc versions 1.1.2 dated 2022-08-18 and 1.1.4 dated 2023-03-13

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 bdc-1.1.4/bdc/tests/testthat/test-bdc_standardize_country.R       |   13 
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 30 files changed, 1986 insertions(+), 1781 deletions(-)

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Package spatstat.random updated to version 3.1-4 with previous version 3.1-3 dated 2023-01-25

Title: Random Generation Functionality for the 'spatstat' Family
Description: Functionality for random generation of spatial data in the 'spatstat' family of packages. Generates random spatial patterns of points according to many simple rules (complete spatial randomness, Poisson, binomial, random grid, systematic, cell), randomised alteration of patterns (thinning, random shift, jittering), simulated realisations of random point processes including simple sequential inhibition, Matern inhibition models, Neyman-Scott cluster processes (using direct, Brix-Kendall, or hybrid algorithms), log-Gaussian Cox processes, product shot noise cluster processes and Gibbs point processes (using Metropolis-Hastings birth-death-shift algorithm, alternating Gibbs sampler, or coupling-from-the-past perfect simulation). Also generates random spatial patterns of line segments, random tessellations, and random images (random noise, random mosaics). Excludes random generation on a linear network, which is covered by the separate package 'spatstat.linnet'.
Author: Adrian Baddeley [aut, cre] , Rolf Turner [aut] , Ege Rubak [aut] , Kasper Klitgaard Berthelsen [ctb], Ya-Mei Chang [ctb], Tilman Davies [ctb], Ute Hahn [ctb], Abdollah Jalilian [ctb], Dominic Schuhmacher [ctb], Rasmus Plenge Waagepetersen [ctb]
Maintainer: Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>

Diff between spatstat.random versions 3.1-3 dated 2023-01-25 and 3.1-4 dated 2023-03-13

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Package RaceID updated to version 0.3.0 with previous version 0.2.9 dated 2023-03-01

Title: Identification of Cell Types and Inference of Lineage Trees from Single-Cell RNA-Seq Data
Description: Application of 'RaceID' allows inference of cell types and prediction of lineage trees by he StemID2 algorithm. Herman, J.S., Sagar, Grün D. (2018) <DOI:10.1038/nmeth.4662>.
Author: Dominic Gruen <dominic.gruen@gmail.com>
Maintainer: Dominic Gruen <dominic.gruen@gmail.com>

Diff between RaceID versions 0.2.9 dated 2023-03-01 and 0.3.0 dated 2023-03-13

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Package cito updated to version 1.0.1 with previous version 1.0.0 dated 2022-08-11

Title: Building and Training Neural Networks
Description: Building and training custom neural networks in the typical R syntax. The 'torch' package is used for numerical calculations, which allows for training on CPU as well as on a graphics card.
Author: Christian Amesoeder [aut, cre], Maximilian Pichler [aut]
Maintainer: Christian Amesoeder <Christian.Amesoeder@informatik.uni-regensburg.de>

Diff between cito versions 1.0.0 dated 2022-08-11 and 1.0.1 dated 2023-03-13

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Package ape updated to version 5.7-1 with previous version 5.7 dated 2023-02-16

Title: Analyses of Phylogenetics and Evolution
Description: Functions for reading, writing, plotting, and manipulating phylogenetic trees, analyses of comparative data in a phylogenetic framework, ancestral character analyses, analyses of diversification and macroevolution, computing distances from DNA sequences, reading and writing nucleotide sequences as well as importing from BioConductor, and several tools such as Mantel's test, generalized skyline plots, graphical exploration of phylogenetic data (alex, trex, kronoviz), estimation of absolute evolutionary rates and clock-like trees using mean path lengths and penalized likelihood, dating trees with non-contemporaneous sequences, translating DNA into AA sequences, and assessing sequence alignments. Phylogeny estimation can be done with the NJ, BIONJ, ME, MVR, SDM, and triangle methods, and several methods handling incomplete distance matrices (NJ*, BIONJ*, MVR*, and the corresponding triangle method). Some functions call external applications (PhyML, Clustal, T-Coffee, Muscle) whose results [...truncated...]
Author: Emmanuel Paradis [aut, cre, cph] , Simon Blomberg [aut, cph] , Ben Bolker [aut, cph] , Joseph Brown [aut, cph] , Santiago Claramunt [aut, cph] , Julien Claude [aut, cph] , Hoa Sien Cuong [aut, cph], Richard Desper [aut, cph], Gilles Didier [aut, cph] [...truncated...]
Maintainer: Emmanuel Paradis <Emmanuel.Paradis@ird.fr>

Diff between ape versions 5.7 dated 2023-02-16 and 5.7-1 dated 2023-03-13

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New package plspm with initial version 0.5.0
Package: plspm
Title: Partial Least Squares Path Modeling (PLS-PM)
Version: 0.5.0
Date: 2023-03-12
Description: Partial Least Squares Path Modeling (PLS-PM), Tenenhaus, Esposito Vinzi, Chatelin, Lauro (2005) <doi:10.1016/j.csda.2004.03.005>, analysis for both metric and non-metric data, as well as REBUS analysis, Esposito Vinzi, Trinchera, Squillacciotti, and Tenenhaus (2008) <doi:10.1002/asmb.728>.
URL: https://github.com/gastonstat/plspm
BugReports: https://github.com/gastonstat/plspm/issues
Depends: R (>= 3.0.1)
Imports: tester, turner, diagram, shape, amap, methods
Suggests: FactoMineR, ggplot2, reshape, testthat, knitr
VignetteBuilder: knitr
License: GPL-3
LazyLoad: yes
NeedsCompilation: no
Author: Frederic Bertrand [cre] , Gaston Sanchez [aut], Laura Trinchera [aut], Giorgio Russolillo [aut]
Maintainer: Frederic Bertrand <frederic.bertrand@utt.fr>
Encoding: UTF-8
Packaged: 2023-03-13 09:52:25 UTC; fbertran
Repository: CRAN
Date/Publication: 2023-03-13 11:20:02 UTC

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Package parquetize updated to version 0.5.4 with previous version 0.5.3 dated 2023-02-20

Title: Convert Files to Parquet Format
Description: Collection of functions to get files in parquet format. Parquet is a columnar storage file format <https://parquet.apache.org/>. The files to convert can be of several formats ("csv", "RData", "rds", "RSQLite", "json", "ndjson", "SAS", "SPSS"...).
Author: Damien Dotta [aut, cre]
Maintainer: Damien Dotta <damien.dotta@live.fr>

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Package nic updated to version 0.0.2 with previous version 0.0.1 dated 2022-01-27

Title: Nature Inspired Colours
Description: Color palettes based on nature inspired colours in "Sri Lanka".
Author: Thiyanga S. Talagala [aut, cre] , Janith C. Wanniarachchi [aut], Udeshi Salgado [ctb]
Maintainer: Thiyanga S. Talagala <ttalagala@sjp.ac.lk>

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Package MedLEA updated to version 1.0.2 with previous version 1.0.1 dated 2021-04-10

Title: Morphological and Structural Features of Medicinal Leaves
Description: Contains a dataset of morphological and structural features of 'Medicinal LEAves (MedLEA)'. The features of each species is recorded by manually viewing the medicinal plant repository available at (<http://www.instituteofayurveda.org/plants/>). You can also download repository of leaf images of 1099 medicinal plants in Sri Lanka.
Author: Jayani P. G. Lakshika [aut, cph], Thiyanga S. Talagala [aut, ths, cre, cph]
Maintainer: Thiyanga S. Talagala <ttalagala@sjp.ac.lk>

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Package covid19srilanka updated to version 1.1.0 with previous version 1.0.0 dated 2021-12-16

Title: The 2019 Novel Coronavirus COVID-19 (2019-nCoV) Data in Sri Lanka
Description: Provides a daily counts of the Coronavirus (COVID19) cases by districts and country. Data source: Epidemiological Unit, Ministry of Health, Sri Lanka <https://www.epid.gov.lk/web/>.
Author: Thiyanga S. Talagala [aut, cre]
Maintainer: Thiyanga S. Talagala <ttalagala@sjp.ac.lk>

Diff between covid19srilanka versions 1.0.0 dated 2021-12-16 and 1.1.0 dated 2023-03-13

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Package shorts updated to version 2.4.0 with previous version 2.3.0 dated 2022-10-29

Title: Short Sprints
Description: Create short sprint (<6sec) profiles using the split times or the radar gun data. Mono-exponential equation is used to estimate maximal sprinting speed (MSS), relative acceleration (TAU), and other parameters such us maximal acceleration (MAC) and maximal relative power (PMAX). These parameters can be used to predict kinematic and kinetics variables and to compare individuals. The modeling method utilized in this package is based on the works of Chelly SM, Denis C. (2001) <doi: 10.1097/00005768-200102000-00024>, Clark KP, Rieger RH, Bruno RF, Stearne DJ. (2017) <doi: 10.1519/JSC.0000000000002081>, Furusawa K, Hill AV, Parkinson JL (1927) <doi: 10.1098/rspb.1927.0035>, Greene PR. (1986) <doi: 10.1016/0025-5564(86)90063-5>, Samozino P. and Peyrot N., et al (2022) <doi: 10.1111/sms.14097>, and Samozino P. (2018) <doi: 10.1007/978-3-319-05633-3_11>.
Author: Mladen Jovanovic [aut, cre], Jason D. Vescovi [dtc]
Maintainer: Mladen Jovanovic <coach.mladen.jovanovic@gmail.com>

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Package rplotengine updated to version 1.0-9 with previous version 1.0-8 dated 2022-04-06

Title: R as a Plotting Engine
Description: Generate basic charts either by custom applications, or from a small script launched from the system console, or within the R console. Two ASCII text files are necessary: (1) The graph parameters file, which name is passed to the function 'rplotengine()'. The user can specify the titles, choose the type of the graph, graph output formats (e.g. png, eps), proportion of the X-axis and Y-axis, position of the legend, whether to show or not a grid at the background, etc. (2) The data to be plotted, which name is specified as a parameter ('data_filename') in the previous file. This data file has a tabulated format, with a single character (e.g. tab) between each column. Optionally, the file could include data columns for showing confidence intervals.
Author: Pedro-Pablo Garrido Abenza [aut, cre]
Maintainer: Pedro-Pablo Garrido Abenza <pgarrido@umh.es>

Diff between rplotengine versions 1.0-8 dated 2022-04-06 and 1.0-9 dated 2023-03-13

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Package gdtools updated to version 0.3.2 with previous version 0.3.1 dated 2023-02-17

Title: Utilities for Graphical Rendering and Fonts Management
Description: Tools are provided to compute metrics of formatted strings and to check the availability of a font. Another set of functions is provided to support the collection of fonts from 'Google Fonts' in a cache. Their use is simple within 'R Markdown' documents and 'shiny' applications but also with graphic productions generated with the 'ggiraph', 'ragg' and 'svglite' packages or with tabular productions from the 'flextable' package.
Author: David Gohel [aut, cre], Hadley Wickham [aut], Lionel Henry [aut], Jeroen Ooms [aut] , Yixuan Qiu [ctb], R Core Team [cph] , ArData [cph], RStudio [cph]
Maintainer: David Gohel <david.gohel@ardata.fr>

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Package toolStability updated to version 0.1.2 with previous version 0.1.1 dated 2022-01-12

Title: Tool for Stability Indices Calculation
Description: Tools to calculate stability indices with parametric, non-parametric and probabilistic approaches. The basic data format requirement for 'toolStability' is a data frame with 3 columns including numeric trait values, genotype,and environmental labels. Output format of each function is the dataframe with chosen stability index for each genotype. Function "table_stability" offers the summary table of all stability indices in this package. This R package toolStability is part of the main publication: Wang, Casadebaig and Chen (2023) <doi:10.1007/s00122-023-04264-7>. Analysis pipeline for main publication can be found on github: <https://github.com/Illustratien/Wang_2023_TAAG/tree/V1.0.0>. Sample dataset in this package is derived from another publication: Casadebaig P, Zheng B, Chapman S et al. (2016) <doi:10.1371/journal.pone.0146385>. For detailed documentation of dataset, please see on Zenodo <doi:10.5281/zenodo.4729636>. Indices used in this package are from: Dö [...truncated...]
Author: Tien-Cheng Wang [aut, cre], Tsu-Wei Chen [com]
Maintainer: Tien-Cheng Wang <wangtien@student.hu-berlin.de>

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New package plsdepot with initial version 0.2.0
Package: plsdepot
Title: Partial Least Squares (PLS) Data Analysis Methods
Version: 0.2.0
Date: 2023-03-12
Author: Frederic Bertrand [cre] , Gaston Sanchez [aut]
Maintainer: Frederic Bertrand <frederic.bertrand@utt.fr>
Description: Different methods for PLS analysis of one or two data tables such as Tucker's Inter-Battery, NIPALS, SIMPLS, SIMPLS-CA, PLS Regression, and PLS Canonical Analysis. The main reference for this software is the awesome book (in French) 'La Regression PLS: Theorie et Pratique' by Michel Tenenhaus.
Depends: R (>= 2.15.1)
Suggests: FactoMineR
License: GPL-3
LazyLoad: yes
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2023-03-13 09:26:12 UTC; fbertran
Repository: CRAN
Date/Publication: 2023-03-13 10:00:02 UTC

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Package np updated to version 0.60-17 with previous version 0.60-16 dated 2022-10-18

Title: Nonparametric Kernel Smoothing Methods for Mixed Data Types
Description: Nonparametric (and semiparametric) kernel methods that seamlessly handle a mix of continuous, unordered, and ordered factor data types. We would like to gratefully acknowledge support from the Natural Sciences and Engineering Research Council of Canada (NSERC, <https://www.nserc-crsng.gc.ca/>), the Social Sciences and Humanities Research Council of Canada (SSHRC, <https://www.sshrc-crsh.gc.ca/>), and the Shared Hierarchical Academic Research Computing Network (SHARCNET, <https://sharcnet.ca/>). We would also like to acknowledge the contributions of the GNU GSL authors. In particular, we adapt the GNU GSL B-spline routine gsl_bspline.c adding automated support for quantile knots (in addition to uniform knots), providing missing functionality for derivatives, and for extending the splines beyond their endpoints.
Author: Jeffrey S. Racine [aut, cre], Tristen Hayfield [aut]
Maintainer: Jeffrey S. Racine <racinej@mcmaster.ca>

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New package metatools with initial version 0.1.5
Package: metatools
Title: Enable the Use of 'metacore' to Help Create and Check Dataset
Version: 0.1.5
Description: Uses the metadata information stored in 'metacore' objects to check and build metadata associated columns.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr, metacore (>= 0.0.4), purrr, rlang, stringr, tidyr, tibble, magrittr
Suggests: testthat (>= 3.0.0), haven, covr, safetyData, admiral.test
URL: https://pharmaverse.github.io/metatools/
BugReports: https://github.com/pharmaverse/metatools/issues
NeedsCompilation: no
Packaged: 2023-03-13 09:03:49 UTC; christinafillmore
Author: Christina Fillmore [aut, cre] , Mike Stackhouse [aut] , GlaxoSmithKline LLC [cph, fnd], F. Hoffmann-La Roche AG [cph, fnd], Atorus Research LLC [cph, fnd]
Maintainer: Christina Fillmore <christina.e.fillmore@gsk.com>
Repository: CRAN
Date/Publication: 2023-03-13 10:00:05 UTC

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Package metaSDTreg updated to version 0.2.2 with previous version 0.2.1 dated 2020-10-14

Title: Regression Models for Meta Signal Detection Theory
Description: Regression methods for the meta-SDT model. The package implements methods for cognitive experiments of metacognition as described in Kristensen, S. B., Sandberg, K., & Bibby, B. M. (2020). Regression methods for metacognitive sensitivity. Journal of Mathematical Psychology, 94. <doi:10.1016/j.jmp.2019.102297>.
Author: Simon Bang Kristensen [aut, cre], Kristian Sandberg [aut], Bo Martin Bibby [aut]
Maintainer: Simon Bang Kristensen <simonbk@ph.au.dk>

Diff between metaSDTreg versions 0.2.1 dated 2020-10-14 and 0.2.2 dated 2023-03-13

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Package JMbayes2 updated to version 0.4-0 with previous version 0.3-0 dated 2022-09-09

Title: Extended Joint Models for Longitudinal and Time-to-Event Data
Description: Fit joint models for longitudinal and time-to-event data under the Bayesian approach. Multiple longitudinal outcomes of mixed type (continuous/categorical) and multiple event times (competing risks and multi-state processes) are accommodated. Rizopoulos (2012, ISBN:9781439872864).
Author: Dimitris Rizopoulos [aut, cre] , Grigorios Papageorgiou [aut], Pedro Miranda Afonso [aut]
Maintainer: Dimitris Rizopoulos <d.rizopoulos@erasmusmc.nl>

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Package GLMMadaptive updated to version 0.8-8 with previous version 0.8-5 dated 2022-02-07

Title: Generalized Linear Mixed Models using Adaptive Gaussian Quadrature
Description: Fits generalized linear mixed models for a single grouping factor under maximum likelihood approximating the integrals over the random effects with an adaptive Gaussian quadrature rule; Jose C. Pinheiro and Douglas M. Bates (1995) <doi:10.1080/10618600.1995.10474663>.
Author: Dimitris Rizopoulos [aut, cre]
Maintainer: Dimitris Rizopoulos <d.rizopoulos@erasmusmc.nl>

Diff between GLMMadaptive versions 0.8-5 dated 2022-02-07 and 0.8-8 dated 2023-03-13

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Package DrugExposureDiagnostics updated to version 0.4.1 with previous version 0.4.0 dated 2023-03-08

Title: Diagnostics for OMOP Common Data Model Drug Records
Description: Ingredient specific diagnostics for drug exposure records in the Observational Medical Outcomes Partnership (OMOP) common data model.
Author: Ger Inberg [aut, cre] , Edward Burn [aut] , Yuchen Guo [ctb] , Marti Catala [ctb] , Mike Du [ctb] , Theresa Burkard [ctb] , Xintong Li [ctb] , Ross Williams [ctb] , Erasmus MC [cph]
Maintainer: Ger Inberg <g.inberg@erasmusmc.nl>

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Package cryptoTax (with last version 0.0.5) was removed from CRAN

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

2023-03-12 0.0.5
2023-03-08 0.0.4
2023-03-07 0.0.3
2023-02-20 0.0.2

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