Wed, 27 Jan 2021

Package sharpshootR updated to version 1.7 with previous version 1.6.5 dated 2020-10-20

Title: A Soil Survey Toolkit
Description: Miscellaneous soil data management, summary, visualization, and conversion utilities to support soil survey.
Author: Dylan Beaudette [cre], Jay Skovlin [aut], Stephen Roecker [aut], USDA-NRCS Soil Survey Staff [ctb]
Maintainer: Dylan Beaudette <dylan.beaudette@usda.gov>

Diff between sharpshootR versions 1.6.5 dated 2020-10-20 and 1.7 dated 2021-01-27

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Package portalr updated to version 0.3.7 with previous version 0.3.6 dated 2020-11-23

Title: Create Useful Summaries of the Portal Data
Description: Download and generate summaries for the rodent, plant, ant, and weather data from the Portal Project. Portal is a long-term (and ongoing) experimental monitoring site in the Chihuahua desert. The raw data files can be found at <https://github.com/weecology/portaldata>.
Author: Glenda M. Yenni [aut, cre] (<https://orcid.org/0000-0001-6969-1848>), Hao Ye [aut] (<https://orcid.org/0000-0002-8630-1458>), Erica M. Christensen [aut] (<https://orcid.org/0000-0002-5635-2502>), Juniper L. Simonis [aut] (<https://orcid.org/0000-0001-9798-0460>), Ellen K. Bledsoe [aut] (<https://orcid.org/0000-0002-3629-7235>), Renata M. Diaz [aut] (<https://orcid.org/0000-0003-0803-4734>), Shawn D. Taylor [aut] (<https://orcid.org/0000-0002-6178-6903>), Ethan P, White [aut] (<https://orcid.org/0000-0001-6728-7745>), S.K. Morgan Ernest [aut] (<https://orcid.org/0000-0002-6026-8530>), Weecology [cph]
Maintainer: Glenda M. Yenni <glenda@weecology.org>

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Package Pareto updated to version 2.2.2 with previous version 2.2.1 dated 2020-09-11

Title: The Pareto, Piecewise Pareto and Generalized Pareto Distribution
Description: Utilities for the Pareto, piecewise Pareto and generalized Pareto distribution that are useful for reinsurance pricing. In particular, the package provides a non-trivial algorithm that can be used to match the expected losses of a tower of reinsurance layers with a layer-independent collective risk model. The theoretical background of the matching algorithm and most other methods are described in Ulrich Riegel (2018) <doi:10.1007/s13385-018-0177-3>.
Author: Ulrich Riegel [aut, cre]
Maintainer: Ulrich Riegel <ulrich.riegel@gmx.de>

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Package OCA updated to version 0.3 with previous version 0.2 dated 2020-05-30

Title: Optimal Capital Allocations
Description: Computes optimal capital allocations based on some standard principles such as Haircut, Overbeck type II and the Covariance Allocation Principle. It also provides some shortcuts for obtaining the Value at Risk and the Expectation Shortfall, using both the normal and the t-student distribution, see Urbina and Guillén (2014)<doi:10.1016/j.eswa.2014.05.017> and Urbina (2013)<http://hdl.handle.net/2099.1/19443>.
Author: Jilber Urbina
Maintainer: Jilber Urbina <jurbina@cipadla.com>

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Package mleap updated to version 1.1.0 with previous version 1.0.0 dated 2020-01-10

Title: Interface to 'MLeap'
Description: A 'sparklyr' <https://spark.rstudio.com> extension that provides an interface to 'MLeap' <https://github.com/combust/mleap>, an open source library that enables exporting and serving of 'Apache Spark' pipelines.
Author: Kevin Kuo [aut] (<https://orcid.org/0000-0001-7803-7901>), Yitao Li [aut, cre] (<https://orcid.org/0000-0002-1261-905X>)
Maintainer: Yitao Li <yitao@rstudio.com>

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Package meta updated to version 4.16-2 with previous version 4.16-1 dated 2021-01-19

Title: General Package for Meta-Analysis
Description: User-friendly general package providing standard methods for meta-analysis and supporting Schwarzer, Carpenter, and Rücker <DOI:10.1007/978-3-319-21416-0>, "Meta-Analysis with R" (2015): - fixed effect and random effects meta-analysis; - several plots (forest, funnel, Galbraith / radial, L'Abbe, Baujat, bubble); - statistical tests and trim-and-fill method to evaluate bias in meta-analysis; - import data from 'RevMan 5'; - prediction interval, Hartung-Knapp method for random effects model; - cumulative meta-analysis and leave-one-out meta-analysis; - meta-regression; - generalised linear mixed models; - produce forest plot summarising several (subgroup) meta-analyses.
Author: Guido Schwarzer [cre, aut] (<https://orcid.org/0000-0001-6214-9087>)
Maintainer: Guido Schwarzer <sc@imbi.uni-freiburg.de>

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Package discoveR updated to version 2.1.7 with previous version 2.1.6 dated 2021-01-22

Title: Exploratory Data Analysis System
Description: Performs an exploratory data analysis through a 'shiny' interface. It includes basic methods such as the mean, median, mode, normality test, among others. It also includes clustering techniques such as Principal Components Analysis, Hierarchical Clustering and the K-Means Method.
Author: Oldemar Rodriguez [aut, cre], Diego Jiménez [ctb]
Maintainer: Oldemar Rodriguez <oldemar.rodriguez@ucr.ac.cr>

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Package rgbif updated to version 3.5.2 with previous version 3.5.0 dated 2021-01-13

Title: Interface to the Global 'Biodiversity' Information Facility API
Description: A programmatic interface to the Web Service methods provided by the Global Biodiversity Information Facility ('GBIF'; <https://www.gbif.org/developer/summary>). 'GBIF' is a database of species occurrence records from sources all over the globe. 'rgbif' includes functions for searching for taxonomic names, retrieving information on data providers, getting species occurrence records, getting counts of occurrence records, and using the 'GBIF' tile map service to make 'rasters' summarizing huge amounts of data.
Author: Scott Chamberlain [aut, cre] (<https://orcid.org/0000-0003-1444-9135>), Damiano Oldoni [aut] (<https://orcid.org/0000-0003-3445-7562>), Vijay Barve [ctb] (<https://orcid.org/0000-0002-4852-2567>), Peter Desmet [ctb] (<https://orcid.org/0000-0002-8442-8025>), Laurens Geffert [ctb], Dan Mcglinn [ctb] (<https://orcid.org/0000-0003-2359-3526>), Karthik Ram [ctb] (<https://orcid.org/0000-0002-0233-1757>), rOpenSci [fnd] (https://ropensci.org/)
Maintainer: Scott Chamberlain <myrmecocystus@gmail.com>

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Package GpGp updated to version 0.3.2 with previous version 0.3.1 dated 2020-10-17

Title: Fast Gaussian Process Computation Using Vecchia's Approximation
Description: Functions for fitting and doing predictions with Gaussian process models using Vecchia's (1988) approximation. Package also includes functions for reordering input locations, finding ordered nearest neighbors (with help from 'FNN' package), grouping operations, and conditional simulations. Covariance functions for spatial and spatial-temporal data on Euclidean domains and spheres are provided. The original approximation is due to Vecchia (1988) <http://www.jstor.org/stable/2345768>, and the reordering and grouping methods are from Guinness (2018) <doi:10.1080/00401706.2018.1437476>. Model fitting employs a Fisher scoring algorithm described in Guinness (2019) <arXiv:1905.08374>.
Author: Joseph Guinness [aut, cre], Matthias Katzfuss [aut], Youssef Fahmy [aut]
Maintainer: Joseph Guinness <joeguinness@gmail.com>

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Package siland updated to version 2.0.5 with previous version 2.0.4 dated 2020-12-07

Title: Spatial Influence of Landscape
Description: Method to estimate the spatial influence scales of landscape variables on a response variable. The method is based on Chandler and Hepinstall-Cymerman (2016) Estimating the spatial scales of landscape effects on abundance, Landscape ecology, 31: 1383-1394, <doi:10.1007/s10980-016-0380-z>.
Author: Carpentier F. and Martin O.
Maintainer: Martin Olivier <olivier.martin@inra.fr>

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Package RSDA updated to version 3.0.9 with previous version 3.0.4 dated 2020-06-07

Title: R to Symbolic Data Analysis
Description: Symbolic Data Analysis (SDA) was proposed by professor Edwin Diday in 1987, the main purpose of SDA is to substitute the set of rows (cases) in the data table for a concept (second order statistical unit). This package implements, to the symbolic case, certain techniques of automatic classification, as well as some linear models.
Author: Oldemar Rodriguez [aut, cre], Jose Emmanuel Chacon [cph], Carlos Aguero [cph], Jorge Arce [cph]
Maintainer: Oldemar Rodriguez <oldemar.rodriguez@ucr.ac.cr>

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Package phillydaodata updated to version 1.0.1 with previous version 1.0.0 dated 2020-11-14

Title: Download Data from the Philadelphia District Attorney's Office
Description: Provides a series of helper functions to download and clean the data that is publicly available on the Philadelphia District Attorney's Office Public Data Dashboard (<https://data.philadao.com/download.html>). This package is not an official product of the Philadelphia District Attorney's Office - it is merely a way to handle their already public and freely available data.
Author: Jacob Kaplan [aut, cre] (<https://orcid.org/0000-0002-0601-0387>)
Maintainer: Jacob Kaplan <jkkaplan6@gmail.com>

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Package fritools updated to version 1.2.0 with previous version 1.1.0 dated 2021-01-20

Title: Utilities for the Forest Research Institute of the State Baden-Wuerttemberg
Description: Miscellaneous utilities, tools and helper functions for finding and searching files on disk, searching for and removing R objects from the workspace. These are utilities for packages <https://CRAN.R-project.org/package=cleanr>, <https://CRAN.R-project.org/package=document>, <https://CRAN.R-project.org/package=fakemake>, <https://CRAN.R-project.org/package=packager> and <https://CRAN.R-project.org/package=rasciidoc>. Does not import or depend on any third party party package, but on core R only.
Author: Andreas Dominik Cullmann [aut, cre]
Maintainer: Andreas Dominik Cullmann <fvafrcu@mailbox.org>

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Package forcats updated to version 0.5.1 with previous version 0.5.0 dated 2020-03-01

Title: Tools for Working with Categorical Variables (Factors)
Description: Helpers for reordering factor levels (including moving specified levels to front, ordering by first appearance, reversing, and randomly shuffling), and tools for modifying factor levels (including collapsing rare levels into other, 'anonymising', and manually 'recoding').
Author: Hadley Wickham [aut, cre], RStudio [cph, fnd]
Maintainer: Hadley Wickham <hadley@rstudio.com>

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Package panelvar updated to version 0.5.3 with previous version 0.5.2 dated 2019-01-22

Title: Panel Vector Autoregression
Description: We extend two general methods of moment estimators to panel vector autoregression models (PVAR) with p lags of endogenous variables, predetermined and strictly exogenous variables. This general PVAR model contains the first difference GMM estimator by Holtz-Eakin et al. (1988) <doi:10.2307/1913103>, Arellano and Bond (1991) <doi:10.2307/2297968> and the system GMM estimator by Blundell and Bond (1998) <doi:10.1016/S0304-4076(98)00009-8>. We also provide specification tests (Hansen overidentification test, lag selection criterion and stability test of the PVAR polynomial) and classical structural analysis for PVAR models such as orthogonal and generalized impulse response functions, bootstrapped confidence intervals for impulse response analysis and forecast error variance decompositions.
Author: Michael Sigmund [aut], Robert Ferstl [aut, cre]
Maintainer: Robert Ferstl <robert.ferstl@ur.de>

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Package iglu updated to version 2.1.0 with previous version 2.0.1 dated 2020-09-15

Title: Interpreting Glucose Data from Continuous Glucose Monitors
Description: Implements a wide range of metrics for measuring glucose control and glucose variability based on continuous glucose monitoring data. The list of implemented metrics is summarized in Rodbard (2009) <doi:10.1089/dia.2009.0015>. Additional visualization tools include time-series and lasagna plots.
Author: Steve Broll [aut], Jacek Urbanek [aut], David Buchanan [aut], Elizabeth Chun [aut], John Muschelli [aut] (<https://orcid.org/0000-0001-6469-1750>), John Schwenck [ctb], Mary Martin [ctb], Pratik Patel [ctb], Marielle Hicban [ctb], Nhan Nguyen [ctb], Irina Gaynanova [aut, cre] (<https://orcid.org/0000-0002-4116-0268>)
Maintainer: Irina Gaynanova <irinag@stat.tamu.edu>

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Package geodist updated to version 0.0.7 with previous version 0.0.6 dated 2020-10-15

Title: Fast, Dependency-Free Geodesic Distance Calculations
Description: Dependency-free, ultra fast calculation of geodesic distances. Includes the reference nanometre-accuracy geodesic distances of Karney (2013) <doi:10.1007/s00190-012-0578-z>, as used by the 'sf' package, as well as Haversine and Vincenty distances. Default distance measure is the "Mapbox cheap ruler" which is generally more accurate than Haversine or Vincenty for distances out to a few hundred kilometres, and is considerably faster. The main function accepts one or two inputs in almost any generic rectangular form, and returns either matrices of pairwise distances, or vectors of sequential distances.
Author: Mark Padgham [aut, cre], Michael D. Sumner [aut], Charles F.F Karney [cph] (Original author of included code for geodesic distances)
Maintainer: Mark Padgham <mark.padgham@email.com>

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Package biogrowth updated to version 0.2.0 with previous version 0.1.2 dated 2020-11-26

Title: Modelling of Population Growth
Description: Modelling of population growth under static and dynamic environmental conditions. Includes functions for model fitting and making prediction under isothermal and dynamic conditions. The methods (algorithms & models) are based on predictive microbiology (See Perez-Rodriguez and Valero (2012, ISBN:978-1-4614-5519-6)).
Author: Alberto Garre [aut, cre] (<https://orcid.org/0000-0002-4404-3550>), Jeroen Koomen [aut], Heidy den Besten [aut], Marcel Zwietering [aut]
Maintainer: Alberto Garre <garre.alberto@gmail.com>

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New package PwrGSD with initial version 2.3.3
Package: PwrGSD
Title: Power in a Group Sequential Design
Version: 2.3.3
Author: Grant Izmirlian <izmirlig@mail.nih.gov>
Depends: survival
Description: Tools for the evaluation of interim analysis plans for sequentially monitored trials on a survival endpoint; tools to construct efficacy and futility boundaries, for deriving power of a sequential design at a specified alternative, template for evaluating the performance of candidate plans at a set of time varying alternatives. See Izmirlian, G. (2014) <doi:10.4310/SII.2014.v7.n1.a4>.
Maintainer: Grant Izmirlian <izmirlig@mail.nih.gov>
License: GPL (>= 2)
NeedsCompilation: yes
Packaged: 2021-01-26 04:42:52 UTC; izmirlig
Repository: CRAN
Date/Publication: 2021-01-27 17:10:03 UTC

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Package GWI updated to version 1.0.1 with previous version 1.0.0 dated 2021-01-26

Title: Count and Continuous Generalized Variability Indexes
Description: Univariate Poisson dispersion index for count data, univariate exponential variation index for positive continuous data functions are performed. Also, the generalized dispersion index and the marginal dispersion index functions are carried out. Finally, the generalized variation index and the marginal variation index functions are computed.
Author: Aboubacar Y. Touré and Célestin C. Kokonendji
Maintainer: Aboubacar Y. Touré <aboubacaryacoubatoure.ussgb@gmail.com>

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Package ggpmisc updated to version 0.3.8-1 with previous version 0.3.8 dated 2021-01-25

Title: Miscellaneous Extensions to 'ggplot2'
Description: Extensions to 'ggplot2' respecting the grammar of graphics paradigm. Specialization of method ggplot(): accept and convert on the fly time series data. Geom: "table", "plot" and "grob" add insets to plots using native data coordinates, while "table_npc", "plot_npc" and "grob_npc" do the same using "npc" coordinates through new aesthetics "npcx" and "npcy". Statistics: locate and tag peaks and valleys; count observations in different quadrants of a plot; select observations based on 2D density; label with the equation of a polynomial fitted with lm() or other types of models; labels with P-value, R^2 or adjusted R^2 or information criteria for fitted models; label with ANOVA table for fitted models; label with summary for fitted models. Model fit classes for which suitable methods are provided by package 'broom' are supported. Scales and stats to build volcano and quadrant plots based on outcomes, fold changes, p-values and false discovery rates.
Author: Pedro J. Aphalo [aut, cre] (<https://orcid.org/0000-0003-3385-972X>), Kamil Slowikowski [ctb]
Maintainer: Pedro J. Aphalo <pedro.aphalo@helsinki.fi>

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Package rebird updated to version 1.2.0 with previous version 1.1.0 dated 2019-10-24

Title: R Client for the eBird Database of Bird Observations
Description: A programmatic client for the eBird database (<https://ebird.org/home>), including functions for searching for bird observations by geographic location (latitude, longitude), eBird hotspots, location identifiers, by notable sightings, by region, and by taxonomic name.
Author: Rafael Maia [aut], Scott Chamberlain [aut] (<https://orcid.org/0000-0003-1444-9135>), Andy Teucher [aut], Guy Babineau [ctb], Marianna Foos [ctb], David Bradnum [ctb], Sebastian Pardo [aut, cre] (<https://orcid.org/0000-0002-4147-5796>)
Maintainer: Sebastian Pardo <sebpardo@gmail.com>

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Package sporm updated to version 1.1.1 with previous version 1.1 dated 2011-01-19

Title: Semiparametric Proportional Odds Rate Model
Description: R implementation of the methods described in "A rank-based empirical likelihood approach to two-sample proportional odds model and its goodness-of-fit" by Zhong Guan and Cheng Peng, Journal of Nonparametric Statistics, 23, no. 3, 763--780.
Author: Zhong Guan <zguan@iusb.edu>; Cheng Peng <cpeng@usm.maine.edu>
Maintainer: Zhong Guan <zguan@iusb.edu>

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Package morse updated to version 3.3.0 with previous version 3.2.7 dated 2020-11-09

Title: Modelling Tools for Reproduction and Survival Data in Ecotoxicology
Description: Tools for ecotoxicologists and regulators dedicated to the mathematical and statistical modelling of toxicity test data. They use advanced and innovative methods for a valuable quantitative environmental risk assessment. See also Delignette-Muller et al. (2017) <doi:10.1021/acs.est.6b05326>. and Baudrot et al. (2018) <doi:10.1021/acs.est.7b05464>.
Author: Virgile Baudrot [aut], Sandrine Charles [aut], Marie Laure Delignette-Muller [aut], Wandrille Duchemin [ctb], Benoit Goussen [ctb], Nils Kehrein [ctb], Guillaume Kon-Kam-King [ctb], Christelle Lopes [ctb], Philippe Ruiz [aut], Alexander Singer [ctb], Philippe Veber [aut]
Maintainer: Philippe Veber <philippe.veber@univ-lyon1.fr>

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Package knitr updated to version 1.31 with previous version 1.30 dated 2020-09-22

Title: A General-Purpose Package for Dynamic Report Generation in R
Description: Provides a general-purpose tool for dynamic report generation in R using Literate Programming techniques.
Author: Yihui Xie [aut, cre] (<https://orcid.org/0000-0003-0645-5666>), Adam Vogt [ctb], Alastair Andrew [ctb], Alex Zvoleff [ctb], Andre Simon [ctb] (the CSS files under inst/themes/ were derived from the Highlight package http://www.andre-simon.de), Aron Atkins [ctb], Aaron Wolen [ctb], Ashley Manton [ctb], Atsushi Yasumoto [ctb] (<https://orcid.org/0000-0002-8335-495X>), Ben Baumer [ctb], Brian Diggs [ctb], Brian Zhang [ctb], Cassio Pereira [ctb], Christophe Dervieux [ctb], David Hall [ctb], David Hugh-Jones [ctb], David Robinson [ctb], Doug Hemken [ctb], Duncan Murdoch [ctb], Elio Campitelli [ctb], Ellis Hughes [ctb], Emily Riederer [ctb], Fabian Hirschmann [ctb], Fitch Simeon [ctb], Forest Fang [ctb], Frank E Harrell Jr [ctb] (the Sweavel package at inst/misc/Sweavel.sty), Garrick Aden-Buie [ctb], Gregoire Detrez [ctb], Hadley Wickham [ctb], Hao Zhu [ctb], Heewon Jeon [ctb], Henrik Bengtsson [ctb], Hiroaki Yutani [ctb], Ian Lyttle [ctb], Hodges Daniel [ctb], Jake Burkhead [ctb], James Manton [ctb], Jared Lander [ctb], Jason Punyon [ctb], Javier Luraschi [ctb], Jeff Arnold [ctb], Jenny Bryan [ctb], Jeremy Ashkenas [ctb, cph] (the CSS file at inst/misc/docco-classic.css), Jeremy Stephens [ctb], Jim Hester [ctb], Joe Cheng [ctb], Johannes Ranke [ctb], John Honaker [ctb], John Muschelli [ctb], Jonathan Keane [ctb], JJ Allaire [ctb], Johan Toloe [ctb], Jonathan Sidi [ctb], Joseph Larmarange [ctb], Julien Barnier [ctb], Kaiyin Zhong [ctb], Kamil Slowikowski [ctb], Karl Forner [ctb], Kevin K. Smith [ctb], Kirill Mueller [ctb], Kohske Takahashi [ctb], Lorenz Walthert [ctb], Lucas Gallindo [ctb], Marius Hofert [ctb], Martin Modrák [ctb], Michael Chirico [ctb], Michael Friendly [ctb], Michal Bojanowski [ctb], Michel Kuhlmann [ctb], Miller Patrick [ctb], Nacho Caballero [ctb], Nick Salkowski [ctb], Niels Richard Hansen [ctb], Noam Ross [ctb], Obada Mahdi [ctb], Qiang Li [ctb], Ramnath Vaidyanathan [ctb], Richard Cotton [ctb], Robert Krzyzanowski [ctb], Romain Francois [ctb], Ruaridh Williamson [ctb], Scott Kostyshak [ctb], Sebastian Meyer [ctb], Sietse Brouwer [ctb], Simon de Bernard [ctb], Sylvain Rousseau [ctb], Taiyun Wei [ctb], Thibaut Assus [ctb], Thibaut Lamadon [ctb], Thomas Leeper [ctb], Tim Mastny [ctb], Tom Torsney-Weir [ctb], Trevor Davis [ctb], Viktoras Veitas [ctb], Weicheng Zhu [ctb], Wush Wu [ctb], Zachary Foster [ctb]
Maintainer: Yihui Xie <xie@yihui.name>

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Package iGraphMatch updated to version 1.0.1 with previous version 1.0.0 dated 2021-01-25

Title: Tools Graph Matching
Description: Graph matching methods and analysis. The package works for both 'igraph' objects and matrix objects. You provide the adjacency matrices of two graphs and some other information you might know, choose the graph matching method, and it returns the graph matching results. 'iGraphMatch' also provides a bunch of useful functions you might need related to graph matching.
Author: Daniel Sussman [aut, cre], Zihuan Qiao [aut], Joshua Agterberg [ctb], Lujia Wang [ctb], Vince Lyzinski [ctb]
Maintainer: Daniel Sussman <sussman@bu.edu>

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Package gmvarkit updated to version 1.4.1 with previous version 1.4.0 dated 2021-01-11

Title: Estimate Gaussian Mixture Vector Autoregressive Model
Description: Unconstrained and constrained maximum likelihood estimation of structural and reduced form Gaussian mixture vector autoregressive (GMVAR) model, quantile residual tests, graphical diagnostics, simulations, forecasting, and estimation of generalized impulse response function. Leena Kalliovirta, Mika Meitz, Pentti Saikkonen (2016) <doi:10.1016/j.jeconom.2016.02.012>, Savi Virolainen (2020) <arXiv:2007.04713>.
Author: Savi Virolainen [aut, cre]
Maintainer: Savi Virolainen <savi.virolainen@helsinki.fi>

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Package GLMMadaptive updated to version 0.8-0 with previous version 0.7-15 dated 2020-10-13

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] (<https://orcid.org/0000-0001-9397-0900>)
Maintainer: Dimitris Rizopoulos <d.rizopoulos@erasmusmc.nl>

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Package gausscov updated to version 0.0.12 with previous version 0.0.11 dated 2021-01-13

Title: The Gaussian Covariate Method for Variable Selection
Description: Given the standard linear model the traditional way of deciding whether to include the jth covariate is to apply the F-test to decide whether the corresponding beta coefficient is zero. The Gaussian covariate method is completely different. The question as to whether the beta coefficient is or is not zero is replaced by the question as to whether the covariate is better or worse than i.i.d. Gaussian noise. The P-value for the covariate is the probability that Gaussian noise is better. Surprisingly this can be given exactly and it is the same a the P-value for the classical model based on the F-distribution. The Gaussian covariate P-value is model free, it is the same for any data set. Using the idea it is possible to do covariate selection for a small number of covariates 25 by considering all subsets. Post selection inference causes no problems as the P-values hold whatever the data. The idea extends to stepwise regression again with exact probabilities. In the simplest version the only parameter is a specified cut-off P-value which can be interpreted as the probability of a false positive being included in the final selection. For more information see the website below and the accompanying papers: L. Davies and L. Duembgen, "Covariate Selection Based on a Model-free Approach to Linear Regression with Exact Probabilities", 2020, <arXiv:1906.01990>. L. Davies, "Lasso, Knockoff and Gaussian covariates: A comparison", 2018, <arXiv:1807.09633>.
Author: Laurie Davies [aut, cre]
Maintainer: Laurie Davies <laurie.davies@uni-due.de>

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Package sac updated to version 1.0.2 with previous version 1.0.1 dated 2009-02-25

Title: Semiparametric Analysis of Change-Point
Description: Semiparametric empirical likelihood ratio based tests of change-point with one-change or epidemic alternatives with data-based model diagnostic are contained.
Author: Zhong Guan <zguan@iusb.edu>
Maintainer: Zhong Guan <zguan@iusb.edu>

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Package TreeDist updated to version 2.0.2 with previous version 2.0.0 dated 2021-01-20

Title: Distances Between Phylogenetic Trees
Description: Implements measures of tree similarity, including information-based generalized Robinson-Foulds distances (Phylogenetic Information Distance, Clustering Information Distance, Matching Split Information Distance; Smith, 2020) <doi:10.1093/bioinformatics/btaa614>; Jaccard-Robinson-Foulds distances (Bocker et al. 2013) <doi:10.1007/978-3-642-40453-5_13>, including the Nye et al. (2006) metric <doi:10.1093/bioinformatics/bti720>; the Matching Split Distance (Bogdanowicz & Giaro 2012) <doi:10.1109/TCBB.2011.48>; Maximum Agreement Subtree distances; the Kendall-Colijn (2016) distance <doi:10.1093/molbev/msw124>, and the Nearest Neighbour Interchange (NNI) distance, approximated per Li et al. (1996) <doi:10.1007/3-540-61332-3_168>. Includes tools for visualizing the landscape of a tree space, and for calculating the median of a set of trees under any distance metric.
Author: Martin R. Smith [aut, cre, cph, prg] (<https://orcid.org/0000-0001-5660-1727>), Roy Jonker [prg, cph], Yong Yang [ctb, cph], Yi Cao [ctb, cph]
Maintainer: Martin R. Smith <martin.smith@durham.ac.uk>

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Package TestDesign updated to version 1.2.2 with previous version 1.2.0 dated 2021-01-22

Title: Optimal Test Design Approach to Fixed and Adaptive Test Construction
Description: Use the optimal test design approach by Birnbaum (1968, ISBN:9781593119348) and van der Linden (2018) <doi:10.1201/9781315117430> in constructing fixed and adaptive tests. Supports the following mixed-integer programming (MIP) solver packages: 'lpsymphony', 'Rsymphony', 'gurobi', 'lpSolve', and 'Rglpk'. The 'gurobi' package is not available from CRAN; see <https://www.gurobi.com/downloads/>. See vignette for installing 'Rsymphony' package on Mac systems.
Author: Seung W. Choi [aut, cre] (<https://orcid.org/0000-0003-4777-5420>), Sangdon Lim [aut] (<https://orcid.org/0000-0002-2988-014X>)
Maintainer: Seung W. Choi <schoi@austin.utexas.edu>

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Package rappdirs updated to version 0.3.2 with previous version 0.3.1 dated 2016-03-28

Title: Application Directories: Determine Where to Save Data, Caches, and Logs
Description: An easy way to determine which directories on the users computer you should use to save data, caches and logs. A port of Python's 'Appdirs' (<https://github.com/ActiveState/appdirs>) to R.
Author: Hadley Wickham [trl, cre, cph], RStudio [cph], Sridhar Ratnakumar [aut], Trent Mick [aut], ActiveState [cph] (R/appdir.r, R/cache.r, R/data.r, R/log.r translated from appdirs), Eddy Petrisor [ctb], Trevor Davis [trl, aut], Gabor Csardi [ctb], Gregory Jefferis [ctb]
Maintainer: Hadley Wickham <hadley@rstudio.com>

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Package ftExtra updated to version 0.1.1 with previous version 0.1.0 dated 2020-10-28

Title: Extensions for 'Flextable'
Description: Build display tables easily by extending the functionality of the 'flextable' package. Features include spanning header, grouping rows, parsing markdown and so on.
Author: Atsushi Yasumoto [aut, cph, cre] (<https://orcid.org/0000-0002-8335-495X>), Romain François [ctb] (<https://orcid.org/0000-0002-2444-4226>)
Maintainer: Atsushi Yasumoto <atusy.rpkg@gmail.com>

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Package Epi updated to version 2.43 with previous version 2.42 dated 2020-11-07

Title: Statistical Analysis in Epidemiology
Description: Functions for demographic and epidemiological analysis in the Lexis diagram, i.e. register and cohort follow-up data, in particular representation, manipulation and simulation of multistate data - the Lexis suite of functions, which includes interfaces to 'mstate', 'etm' and 'cmprsk' packages. Also contains functions for Age-Period-Cohort and Lee-Carter modeling and a function for interval censored data and some useful functions for tabulation and plotting, as well as a number of epidemiological data sets.
Author: Bendix Carstensen [aut, cre], Martyn Plummer [aut], Esa Laara [ctb], Michael Hills [ctb]
Maintainer: Bendix Carstensen <b@bxc.dk>

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Package metan updated to version 1.12.0 with previous version 1.11.0 dated 2020-12-12

Title: Multi Environment Trials Analysis
Description: Performs stability analysis of multi-environment trial data using parametric and non-parametric methods. Parametric methods includes Additive Main Effects and Multiplicative Interaction (AMMI) analysis by Gauch (2013) <doi:10.2135/cropsci2013.04.0241>, Ecovalence by Wricke (1965), Genotype plus Genotype-Environment (GGE) biplot analysis by Yan & Kang (2003) <doi:10.1201/9781420040371>, geometric adaptability index by Mohammadi & Amri (2008) <doi:10.1007/s10681-007-9600-6>, joint regression analysis by Eberhart & Russel (1966) <doi:10.2135/cropsci1966.0011183X000600010011x>, genotypic confidence index by Annicchiarico (1992), Murakami & Cruz's (2004) method <doi:10.12702/1984-7033.v04n01a02>, power law residuals (POLAR) statistics by Doring et al. (2015) <doi:10.1016/j.fcr.2015.08.005>, scale-adjusted coefficient of variation by Doring & Reckling (2018) <doi:10.1016/j.eja.2018.06.007>, stability variance by Shukla (1972) <doi:10.1038/hdy.1972.87>, weighted average of absolute scores by Olivoto et al. (2019a) <doi:10.2134/agronj2019.03.0220>, and multi-trait stability index by Olivoto et al. (2019b) <doi:10.2134/agronj2019.03.0221>. Non-parametric methods includes superiority index by Lin & Binns (1988) <doi:10.4141/cjps88-018>, nonparametric measures of phenotypic stability by Huehn (1990) <https://link.springer.com/article/10.1007/BF00024241>, TOP third statistic by Fox et al. (1990) <doi:10.1007/BF00040364>. Functions for computing biometrical analysis such as path analysis, canonical correlation, partial correlation, clustering analysis, and tools for inspecting, manipulating, summarizing and plotting typical multi-environment trial data are also provided.
Author: Tiago Olivoto [aut, cre, cph] (<https://orcid.org/0000-0002-0241-9636>)
Maintainer: Tiago Olivoto <tiagoolivoto@gmail.com>

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Package lidR updated to version 3.1.1 with previous version 3.1.0 dated 2021-01-18

Title: Airborne LiDAR Data Manipulation and Visualization for Forestry Applications
Description: Airborne LiDAR (Light Detection and Ranging) interface for data manipulation and visualization. Read/write 'las' and 'laz' files, computation of metrics in area based approach, point filtering, artificial point reduction, classification from geographic data, normalization, individual tree segmentation and other manipulations.
Author: Jean-Romain Roussel [aut, cre, cph], David Auty [aut, ctb] (Reviews the documentation), Florian De Boissieu [ctb] (Fixed bugs and improved catalog features), Andrew Sánchez Meador [ctb] (Implemented wing2015() for segment_snags()), Bourdon Jean-François [ctb] (Contributed to Roussel2020() for track_sensor()), Gatziolis Demetrios [ctb] (Implemented Gatziolis2019() for track_sensor())
Maintainer: Jean-Romain Roussel <jean-romain.roussel.1@ulaval.ca>

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Package finbif updated to version 0.4.1 with previous version 0.4.0 dated 2020-12-17

Title: Interface for the 'Finnish Biodiversity Information Facility' API
Description: A programmatic interface to the 'Finnish Biodiversity Information Facility' ('FinBIF') API (<https://api.laji.fi>). 'FinBIF' aggregates Finnish biodiversity data from multiple sources in a single open access portal for researchers, citizen scientists, industry and government. 'FinBIF' allows users of biodiversity information to find, access, combine and visualise data on Finnish plants, animals and microorganisms. The 'finbif' package makes the publicly available data in 'FinBIF' easily accessible to programmers. Biodiversity information is available on taxonomy and taxon occurrence. Occurrence data can be filtered by taxon, time, location and other variables. The data accessed are conveniently preformatted for subsequent analyses.
Author: LUOMUS - Finnish Museum of Natural History [cph], William Morris [aut, cre] (<https://orcid.org/0000-0002-8686-4154>)
Maintainer: William Morris <willi@mmorris.email>

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Package ADMUR updated to version 1.0.2 with previous version 1.0.1 dated 2020-11-29

Title: Ancient Demographic Modelling Using Radiocarbon
Description: Provides tools to directly model underlying population dynamics using date datasets (radiocarbon and other) with a Continuous Piecewise Linear (CPL) model framework. Various other model types included. Taphonomic loss included optionally as a power function. Model comparison framework using BIC. Package also calibrates 14C samples, generates Summed Probability Distributions (SPD), and performs SPD simulation analysis to generate a Goodness-of-fit test for the best selected model.
Author: Adrian Timpson [aut, cre] (<https://orcid.org/0000-0003-0292-8729>)
Maintainer: Adrian Timpson <a.timpson@ucl.ac.uk>

Diff between ADMUR versions 1.0.1 dated 2020-11-29 and 1.0.2 dated 2021-01-27

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Package sdcMicro updated to version 5.6.0 with previous version 5.5.1 dated 2020-02-11

Title: Statistical Disclosure Control Methods for Anonymization of Data and Risk Estimation
Description: Data from statistical agencies and other institutions are mostly confidential. This package (see also Templ, Kowarik and Meindl (2017) <doi:10.18637/jss.v067.i04>) can be used for the generation of anonymized (micro)data, i.e. for the creation of public- and scientific-use files. The theoretical basis for the methods implemented can be found in Templ (2017) <doi:10.1007/978-3-319-50272-4>. Various risk estimation and anonymisation methods are included. Note that the package includes a graphical user interface (Meindl and Templ, 2019 <doi:10.3390/a12090191>) that allows to use various methods of this package.
Author: Matthias Templ [aut, cre] (<https://orcid.org/0000-0002-8638-5276>), Bernhard Meindl [aut], Alexander Kowarik [aut] (<https://orcid.org/0000-0001-8598-4130>)
Maintainer: Matthias Templ <matthias.templ@gmail.com>

Diff between sdcMicro versions 5.5.1 dated 2020-02-11 and 5.6.0 dated 2021-01-27

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Package rgdal updated to version 1.5-21 with previous version 1.5-19 dated 2021-01-05

Title: Bindings for the 'Geospatial' Data Abstraction Library
Description: Provides bindings to the 'Geospatial' Data Abstraction Library ('GDAL') (>= 1.11.4) and access to projection/transformation operations from the 'PROJ' library. Use is made of classes defined in the 'sp' package. Raster and vector map data can be imported into R, and raster and vector 'sp' objects exported. The 'GDAL' and 'PROJ' libraries are external to the package, and, when installing the package from source, must be correctly installed first; it is important that 'GDAL' < 3 be matched with 'PROJ' < 6. From 'rgdal' 1.5-8, installed with to 'GDAL' >=3, 'PROJ' >=6 and 'sp' >= 1.4, coordinate reference systems use 'WKT2_2019' strings, not 'PROJ' strings. 'Windows' and 'macOS' binaries (including 'GDAL', 'PROJ' and their dependencies) are provided on 'CRAN'.
Author: Roger Bivand [cre, aut] (<https://orcid.org/0000-0003-2392-6140>), Tim Keitt [aut], Barry Rowlingson [aut, ctb], Edzer Pebesma [ctb], Michael Sumner [ctb], Robert Hijmans [ctb], Daniel Baston [ctb], Even Rouault [cph, ctb], Frank Warmerdam [cph, ctb], Jeroen Ooms [ctb], Colin Rundel [ctb]
Maintainer: Roger Bivand <Roger.Bivand@nhh.no>

Diff between rgdal versions 1.5-19 dated 2021-01-05 and 1.5-21 dated 2021-01-27

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New package Microsoft365R with initial version 1.0.0
Package: Microsoft365R
Title: Interface to the 'Microsoft 365' Suite of Cloud Services
Version: 1.0.0
Authors@R: c( person("Hong", "Ooi", , "hongooi73@gmail.com", role = c("aut", "cre")), person("Microsoft", role="cph") )
Description: An interface to the 'Microsoft 365' (formerly known as 'Office 365') suite of cloud services, building on the framework supplied by the 'AzureGraph' package. Enables access from R to data stored in 'SharePoint Online' and 'OneDrive', including the ability to list drive folder contents, upload and download files, and retrieve data lists. Both personal 'OneDrive' and 'OneDrive for Business' accounts are supported.
URL: https://github.com/Azure/Microsoft365R https://github.com/Azure/AzureR
BugReports: https://github.com/Azure/Microsoft365R/issues
License: MIT + file LICENSE
VignetteBuilder: knitr
Depends: R (>= 3.3)
Imports: AzureAuth, AzureGraph (>= 1.2.0), utils, curl, httr, jsonlite, R6, vctrs
Suggests: openssl, knitr, rmarkdown, testthat
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2021-01-24 22:06:13 UTC; hongo
Author: Hong Ooi [aut, cre], Microsoft [cph]
Maintainer: Hong Ooi <hongooi73@gmail.com>
Repository: CRAN
Date/Publication: 2021-01-27 10:40:20 UTC

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Package mice updated to version 3.13.0 with previous version 3.12.0 dated 2020-11-14

Title: Multivariate Imputation by Chained Equations
Description: Multiple imputation using Fully Conditional Specification (FCS) implemented by the MICE algorithm as described in Van Buuren and Groothuis-Oudshoorn (2011) <doi:10.18637/jss.v045.i03>. Each variable has its own imputation model. Built-in imputation models are provided for continuous data (predictive mean matching, normal), binary data (logistic regression), unordered categorical data (polytomous logistic regression) and ordered categorical data (proportional odds). MICE can also impute continuous two-level data (normal model, pan, second-level variables). Passive imputation can be used to maintain consistency between variables. Various diagnostic plots are available to inspect the quality of the imputations.
Author: Stef van Buuren [aut, cre], Karin Groothuis-Oudshoorn [aut], Gerko Vink [ctb], Rianne Schouten [ctb], Alexander Robitzsch [ctb], Patrick Rockenschaub [ctb], Lisa Doove [ctb], Shahab Jolani [ctb], Margarita Moreno-Betancur [ctb], Ian White [ctb], Philipp Gaffert [ctb], Florian Meinfelder [ctb], Bernie Gray [ctb], Vincent Arel-Bundock [ctb]
Maintainer: Stef van Buuren <stef.vanbuuren@tno.nl>

Diff between mice versions 3.12.0 dated 2020-11-14 and 3.13.0 dated 2021-01-27

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New package gplite with initial version 0.11.0
Package: gplite
Title: Lightweight Implementation for the Most Common Gaussian Process Models
Version: 0.11.0
Authors@R: c(person("Juho", "Piironen", role = c("cre", "aut"), email = "juho.t.piironen@gmail.com"))
Description: Implements the most common Gaussian process (GP) models using Laplace and expectation propagation (EP) approximations, maximum marginal likelihood (or posterior) inference for the hyperparameters, and sparse approximations for larger datasets.
Depends: R (>= 3.4.0),
Imports: Matrix, methods, Rcpp
LinkingTo: Rcpp, RcppArmadillo
License: GPL-3
Encoding: UTF-8
LazyData: TRUE
Biarch: TRUE
RoxygenNote: 7.1.1
Suggests: testthat, knitr, rmarkdown, ggplot2
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2021-01-24 16:40:13 UTC; juho
Author: Juho Piironen [cre, aut]
Maintainer: Juho Piironen <juho.t.piironen@gmail.com>
Repository: CRAN
Date/Publication: 2021-01-27 10:20:03 UTC

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New package fSRM with initial version 0.6.5
Encoding: UTF-8
Package: fSRM
Type: Package
Title: Social Relations Analyses with Roles ("Family SRM")
Version: 0.6.5
Date: 2021-01-25
Author: Felix Schönbrodt, Lara Stas, Tom Loeys
Maintainer: Felix Schönbrodt <felix@nicebread.de>
Description: Social Relations Analysis with roles ("Family SRM") are computed, using a structural equation modeling approach. Groups ranging from three members up to an unlimited number of members are supported and the mean structure can be computed. Means and variances can be compared between different groups of families and between roles.
Depends: lavaan
Imports: plyr, reshape2, ggplot2, scales, foreign, tcltk, tcltk2, gridExtra, methods
License: GPL (>= 2)
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2021-01-25 08:10:08 UTC; felix
Repository: CRAN
Date/Publication: 2021-01-27 10:50:02 UTC

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New package franc with initial version 1.1.3
Package: franc
Title: Detect the Language of Text
Version: 1.1.3
Author: Gabor Csardi, Titus Wormer, Maciej Ceglowski, Jacob R. Rideout, and Kent S. Johnson
Maintainer: Gábor Csárdi <csardi.gabor@gmail.com>
Description: With no external dependencies and support for 335 languages; all languages spoken by more than one million speakers. 'Franc' is a port of the 'JavaScript' project of the same name, see <https://github.com/wooorm/franc>.
License: MIT + file LICENSE
LazyData: true
URL: https://github.com/gaborcsardi/franc#readme
BugReports: https://github.com/gaborcsardi/franc/issues
Suggests: testthat
RoxygenNote: 6.1.1
Encoding: UTF-8
Imports: jsonlite
Collate: 'distances.R' 'expressions.R' 'franc.R' 'ngrams.R' 'normalize.R' 'script.R' 'speakers.R' 'trigrams.R'
NeedsCompilation: no
Packaged: 2021-01-27 10:04:07 UTC; gaborcsardi
Repository: CRAN
Date/Publication: 2021-01-27 11:00:02 UTC

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Package essurvey updated to version 1.0.6 with previous version 1.0.5 dated 2019-12-11

Title: Download Data from the European Social Survey on the Fly
Description: Download data from the European Social Survey directly from their website <http://www.europeansocialsurvey.org/>. There are two families of functions that allow you to download and interactively check all countries and rounds available.
Author: Jorge Cimentada [aut, cre], Thomas Leeper [rev] (Thomas reviewed the package for rOpensci,see https://github.com/ropensci/software-review/issues/201), Nujcharee Haswell [rev] (Nujcharee reviewed the package for rOpensci, see https://github.com/ropensci/software-review/issues/201), Jorge Lopez [ctb], François Briatte [ctb]
Maintainer: Jorge Cimentada <cimentadaj@gmail.com>

Diff between essurvey versions 1.0.5 dated 2019-12-11 and 1.0.6 dated 2021-01-27

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 16 files changed, 204 insertions(+), 185 deletions(-)

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New package wildviz with initial version 0.1.1
Package: wildviz
Type: Package
Title: Compiles and Visualizes Wildfire, Climate, and Air Quality Data
Version: 0.1.1
Date: 2021-01-10
Authors@R: c(person(given = "Bradley", family = "Rafferty", role = c("aut", "cre"), email = "brjrafferty@gmail.com"), person(given = "Daniel", family = "Chung", role = "aut", email = "dshchung@gmail.com"))
Description: Fetches data from three disparate data sources and allows user to perform analyses on them. It offers two core components: 1. A robust data retrieval and preparation infrastructure for wildfire, climate, and air quality index data and 2. A simple, informative, and interactive visualizations of the aforementioned datasets for California counties from 2011 through 2015. The sources of data are: wildfire data from Kaggle <https://www.kaggle.com/rtatman/188-million-us-wildfires>, climate data from the National Oceanic and Atmospheric Administration <https://www.ncdc.noaa.gov/cdo-web/token>, and air quality data from the Environmental Protection Agency <https://aqs.epa.gov/aqsweb/documents/data_api.html>.
URL: https://github.com/bradraff/wildviz
BugReports: https://github.com/bradraff/wildviz/issues
License: GPL-2
LazyData: true
Imports: DBI, dplyr, httr, jsonlite, lubridate, purrr, rnoaa, RSQLite, shiny, tibble, tidyr, shinythemes, ggplot2, plotly, ggthemes
Encoding: UTF-8
RoxygenNote: 7.1.1
Depends: R (>= 3.5.0)
Suggests: knitr, rmarkdown, markdown, testthat
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-01-21 03:27:35 UTC; brjra
Author: Bradley Rafferty [aut, cre], Daniel Chung [aut]
Maintainer: Bradley Rafferty <brjrafferty@gmail.com>
Repository: CRAN
Date/Publication: 2021-01-27 09:50:03 UTC

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New package warbleR with initial version 1.1.25
Package: warbleR
Type: Package
Title: Streamline Bioacoustic Analysis
Version: 1.1.25
Date: 2021-01-11
Description: Functions aiming to facilitate the analysis of the structure of animal acoustic signals in 'R'. 'warbleR' makes use of the basic sound analysis tools from the package 'seewave', and offers new tools for acoustic structure analysis. The main features of the package are the use of loops to apply tasks through acoustic signals referenced in a selection (annotation) table and the production of spectrograms in image files that allow to organize data and verify acoustic analyzes. The package offers functions to explore, organize and manipulate multiple sound files, explore and download 'Xeno-Canto' recordings, detect signals automatically, create spectrograms of complete recordings or individual signals, run different measures of acoustic signal structure, evaluate the performance of measurement methods, catalog signals, characterize different structural levels in acoustic signals, run statistical analysis of duet coordination and consolidate databases and annotation tables, among others.
License: GPL (>= 2)
Imports: dtw, fftw, graphics, grDevices, monitoR, parallel, pbapply, RCurl, rjson, stats, utils, methods, Rcpp, huxtable, crayon, bioacoustics
LinkingTo: Rcpp
Depends: R (>= 3.2.1), tuneR, seewave (>= 2.0.1), NatureSounds
LazyData: TRUE
URL: https://marce10.github.io/warbleR/
BugReports: https://github.com/maRce10/warbleR/issues/
NeedsCompilation: yes
Suggests: knitr, ggplot2, rmarkdown, jpeg, ape, soundgen, wavethresh, png, pracma, Sim.DiffProc, maps, leaflet, svMisc
VignetteBuilder: knitr, rmarkdown
RoxygenNote: 7.1.1
Packaged: 2021-01-26 22:16:37 UTC; m
Repository: CRAN
Language: en-US
Authors@R: c(person("Marcelo", "Araya-Salas", role = c("aut", "cre"), email = "marcelo.araya@ucr.ac.cr", comment = c(ORCID = "0000-0003-3594-619X")), person("Grace", "Smith-Vidaurre", role = c("aut"), email = "gsmithvi@gmail.com"))
Date/Publication: 2021-01-27 09:30:03 UTC
Author: Marcelo Araya-Salas [aut, cre] (<https://orcid.org/0000-0003-3594-619X>), Grace Smith-Vidaurre [aut]
Maintainer: Marcelo Araya-Salas <marcelo.araya@ucr.ac.cr>

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Package USP updated to version 0.1.2 with previous version 0.1.1 dated 2020-11-16

Title: U-Statistic Permutation Tests of Independence for all Data Types
Description: Implements various independence tests for discrete, continuous, and infinite-dimensional data. The tests are based on a U-statistic permutation test, the USP of Berrett, Kontoyiannis and Samworth (2020) <arXiv:2001.05513>, and shown to be minimax rate optimal in a wide range of settings. As the permutation principle is used, all tests have exact, non-asymptotic Type I error control at the nominal level.
Author: Thomas B. Berrett <tom.berrett@warwick.ac.uk> [aut,cre], Ioannis Kontoyiannis <yiannis@maths.cam.ac.uk> [aut], Richard J. Samworth <r.samworth@statslab.cam.ac.uk> [aut]
Maintainer: Thomas B. Berrett <tom.berrett@warwick.ac.uk>

Diff between USP versions 0.1.1 dated 2020-11-16 and 0.1.2 dated 2021-01-27

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 19 files changed, 100 insertions(+), 57 deletions(-)

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New package tidysynth with initial version 0.1.0
Package: tidysynth
Title: A Tidy Implementation of the Synthetic Control Method
Version: 0.1.0
Authors@R: person(given = "Eric", family = "Dunford", role = c("aut", "cre"), email = "ed769@georgetown.edu", comment = c(ORCID = "0000-0003-3056-8687"))
Description: A synthetic control offers a way of evaluating the effect of an intervention in comparative case studies. The package makes a number of improvements when implementing the method in R. These improvements allow users to inspect, visualize, and tune the synthetic control more easily. A key benefit of a tidy implementation is that the entire preparation process for building the synthetic control can be accomplished in a single pipe. For more information on the synthetic control method, see Abadie et al. (2003) <doi:10.1257/000282803321455188>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
Depends: R (>= 3.5.0)
Imports: magrittr, tibble, dplyr, ggplot2, tidyr, forcats, rlang, kernlab, LowRankQP, rgenoud, optimx, stats
Suggests: testthat
NeedsCompilation: no
Packaged: 2021-01-24 01:19:42 UTC; edunford
Author: Eric Dunford [aut, cre] (<https://orcid.org/0000-0003-3056-8687>)
Maintainer: Eric Dunford <ed769@georgetown.edu>
Repository: CRAN
Date/Publication: 2021-01-27 09:10:02 UTC

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New package robslopes with initial version 1.0.0
Package: robslopes
Type: Package
Title: Fast Algorithms for Robust Slopes
Version: 1.0.0
Date: 2021-01-24
Author: Jakob Raymaekers
Maintainer: Jakob Raymaekers <jakob.raymaekers@kuleuven.be>
Description: Fast algorithms for the Theil-Sen estimator and Siegel's repeated median slope estimator. The implementation is based on algorithms by Dillencourt et. al (1992) <doi:10.1142/S0218195992000020> and Matousek et. al (1998) <doi:10.10.1007/PL00009190. Both algorithms run in quasilinear time.
License: GPL (>= 2)
Imports: Rcpp (>= 1.0.5)
LinkingTo: Rcpp, RcppArmadillo
NeedsCompilation: yes
Packaged: 2021-01-24 15:45:55 UTC; u0105404
Repository: CRAN
Date/Publication: 2021-01-27 10:00:02 UTC

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Package rminizinc updated to version 0.0.5 with previous version 0.0.4 dated 2021-01-22

Title: R Interface to Use 'MiniZinc'
Description: Constraint optimization, or constraint programming, is the name given to identifying feasible solutions out of a very large set of candidates, where the problem can be modeled in terms of arbitrary constraints. 'MiniZinc' is a free and open-source constraint modeling language. Constraint satisfaction and discrete optimization problems can be formulated in a high-level modeling language. Models are compiled into an intermediate representation that is understood by a wide range of solvers. 'MiniZinc' itself provides several solvers, for instance 'GeCode'. R users can use the package to solve constraint programming problems without using 'MiniZinc' directly, modify existing 'MiniZinc' models and also create their own models.
Author: Akshit Achara, Lars Kotthoff, Hans W. Borchers, Guido Tack
Maintainer: Akshit Achara <acharaakshit@gmail.com>

Diff between rminizinc versions 0.0.4 dated 2021-01-22 and 0.0.5 dated 2021-01-27

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Package poistweedie updated to version 1.0.1 with previous version 1.0 dated 2010-03-11

Title: Poisson-Tweedie Exponential Family Models
Description: Simulation of models Poisson-Tweedie.
Author: David Pechel Cactcha, Laure Pauline Fotso and Celestin C Kokonendji
Maintainer: David Pechel Cactcha <davidpechel@uy1.uninet.cm>

Diff between poistweedie versions 1.0 dated 2010-03-11 and 1.0.1 dated 2021-01-27

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 man/rpoistweedie.Rd |    1 -
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Package mlr3viz updated to version 0.5.1 with previous version 0.5.0 dated 2020-11-02

Title: Visualizations for 'mlr3'
Description: Provides visualizations for 'mlr3' objects such as tasks, predictions, resample results or benchmark results via the autoplot() generic of 'ggplot2'. The returned 'ggplot' objects are intended to provide sensible defaults, yet can easily be customized to create camera-ready figures. Visualizations include barplots, boxplots, histograms, ROC curves, and Precision-Recall curves.
Author: Michel Lang [cre, aut] (<https://orcid.org/0000-0001-9754-0393>), Patrick Schratz [aut] (<https://orcid.org/0000-0003-0748-6624>), Raphael Sonabend [aut] (<https://orcid.org/0000-0001-9225-4654>), Damir Pulatov [ctb]
Maintainer: Michel Lang <michellang@gmail.com>

Diff between mlr3viz versions 0.5.0 dated 2020-11-02 and 0.5.1 dated 2021-01-27

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 37 files changed, 121 insertions(+), 151 deletions(-)

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Package mlr3verse updated to version 0.2.0 with previous version 0.1.3 dated 2020-07-06

Title: Easily Install and Load the 'mlr3' Package Family
Description: The 'mlr3' package family is a set of packages for machine-learning purposes built in a modular fashion. This wrapper package is aimed to simplify the installation and loading of the core 'mlr3' packages. Get more information about the 'mlr3' project at <https://mlr3book.mlr-org.com/>.
Author: Michel Lang [cre, aut] (<https://orcid.org/0000-0001-9754-0393>), Patrick Schratz [aut] (<https://orcid.org/0000-0003-0748-6624>)
Maintainer: Michel Lang <michellang@gmail.com>

Diff between mlr3verse versions 0.1.3 dated 2020-07-06 and 0.2.0 dated 2021-01-27

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Package mlr3oml updated to version 0.4.1 with previous version 0.4.0 dated 2020-10-20

Title: Connector Between 'mlr3' and 'OpenML'
Description: Provides an interface to 'OpenML.org' to list and download machine learning data and tasks. Data and tasks can be automatically converted to 'mlr3' tasks. For a more sophisticated interface which also allows uploading experiments, see the 'OpenML' package.
Author: Michel Lang [cre, aut] (<https://orcid.org/0000-0001-9754-0393>)
Maintainer: Michel Lang <michellang@gmail.com>

Diff between mlr3oml versions 0.4.0 dated 2020-10-20 and 0.4.1 dated 2021-01-27

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Package locStra updated to version 1.7 with previous version 1.6 dated 2020-12-15

Title: Fast Implementation of (Local) Population Stratification Methods
Description: Fast implementations to compute the genetic covariance matrix, the Jaccard similarity matrix, the s-matrix (the weighted Jaccard similarity matrix), and the (classic or robust) genomic relationship matrix of a (dense or sparse) input matrix (see Hahn, Lutz, Hecker, Prokopenko, Cho, Silverman, Weiss, and Lange (2020) <doi:10.1002/gepi.22356>). Full support for sparse matrices from the R-package 'Matrix'. Additionally, an implementation of the power method (von Mises iteration) to compute the largest eigenvector of a matrix is included, a function to perform an automated full run of global and local correlations in population stratification data, a function to compute sliding windows, and a function to invert minor alleles and to select those variants/loci exceeding a minimal cutoff value. New functionality in locStra allows one to extract the k leading eigenvectors of the genetic covariance matrix, Jaccard similarity matrix, s-matrix, and genomic relationship matrix without actually computing the similarity matrices.
Author: Georg Hahn [aut,cre], Sharon M. Lutz [ctb], Christoph Lange [ctb]
Maintainer: Georg Hahn <ghahn@hsph.harvard.edu>

Diff between locStra versions 1.6 dated 2020-12-15 and 1.7 dated 2021-01-27

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New package igoR with initial version 0.1.1
Package: igoR
Title: Intergovernmental Organizations Database
Version: 0.1.1
Description: Tools to extract information from the Intergovernmental Organizations ('IGO') Database , version 3, provided by the Correlates of War Project <https://correlatesofwar.org/>. See also Pevehouse, J. C. et al. (2020), <doi:10.1177/0022343319881175>. Version 3 includes information from 1815 to 2014.
Authors@R: c(person(given = "Diego", family = "Hernangómez", role = c("aut", "cre", "cph"), email = "diego.hernangomezherrero@gmail.com", comment = c(ORCID = "0000-0001-8457-4658")), person(given = "The Correlates of War Project", role = "cph", comment = "for the data set") )
License: GPL (>= 3)
BugReports: https://github.com/dieghernan/igoR/issues
URL: https://dieghernan.github.io/igoR/, https://github.com/dieghernan/igoR
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Depends: R (>= 2.10)
Suggests: countrycode (>= 1.1.0), dplyr (>= 1.0.2), tinytest, ggplot2, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-01-24 08:09:51 UTC; Diego
Author: Diego Hernangómez [aut, cre, cph] (<https://orcid.org/0000-0001-8457-4658>), The Correlates of War Project [cph] (for the data set)
Maintainer: Diego Hernangómez <diego.hernangomezherrero@gmail.com>
Repository: CRAN
Date/Publication: 2021-01-27 09:20:09 UTC

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New package idem with initial version 5.1
Package: idem
Title: Inference in Randomized Controlled Trials with Death and Missingness
Version: 5.1
Author: Chenguang Wang [aut, cre], Andrew Leroux [aut, cre], Elizabeth Colantuoni [aut], Daniel O Scharfstein [aut], Trustees of Columbia University [cph] (tools/make_cpp.R, R/stanmodels.R)
Maintainer: Chenguang Wang <cwang68@jhmi.edu>
Description: In randomized studies involving severely ill patients, functional outcomes are often unobserved due to missed clinic visits, premature withdrawal or death. It is well known that if these unobserved functional outcomes are not handled properly, biased treatment comparisons can be produced. In this package, we implement a procedure for comparing treatments that is based on the composite endpoint of both the functional outcome and survival. The procedure was proposed in Wang et al. (2016) <DOI:10.1111/biom.12594> and Wang et al. (2020) <DOI:10.18637/jss.v093.i12>. It considers missing data imputation with different sensitivity analysis strategies to handle the unobserved functional outcomes not due to death.
Depends: R (>= 3.4.0), Rcpp (>= 0.12.0), methods
License: GPL (>= 3)
LinkingTo: StanHeaders (>= 2.18.0), rstan (>= 2.18.1), BH (>= 1.66.0), Rcpp (>= 0.12.0), RcppEigen (>= 0.3.3.3.0)
RcppModules: stan_fit4idem_mod
Imports: rstan (>= 2.18.1), sqldf (>= 0.4), survival (>= 2.38), mice (>= 3.9.0), parallel (>= 3.2)
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Suggests: knitr, shiny, rmarkdown, pander, DT, shinythemes
VignetteBuilder: knitr
SystemRequirements: GNU make
URL: https://github.com/olssol/idem/
NeedsCompilation: yes
Packaged: 2021-01-26 20:20:32 UTC; cwang68
Repository: CRAN
Date/Publication: 2021-01-27 09:40:02 UTC

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New package DiceOptim with initial version 2.1.0
Package: DiceOptim
Version: 2.1.0
Title: Kriging-Based Optimization for Computer Experiments
Date: 2021-01-05
Authors@R: c(person("Victor", "Picheny", role = c("aut", "cre"), email = "victor.picheny@toulouse.inra.fr"), person("David Ginsbourger", "Green", role = "aut"), person("Olivier", "Roustant", role = "aut"), person("Mickael", "Binois", role = "ctb"), person("Sebastien", "Marmin", role = "ctb"), person("Tobias", "Wagner", role = "ctb"))
Description: Efficient Global Optimization (EGO) algorithm as described in "Roustant et al. (2012)" <doi:10.18637/jss.v051.i01> and adaptations for problems with noise ("Picheny and Ginsbourger, 2012") <doi:10.1016/j.csda.2013.03.018>, parallel infill, and problems with constraints.
Depends: DiceKriging (>= 1.2), methods
Imports: randtoolbox, pbivnorm, rgenoud, mnormt, DiceDesign, parallel
Suggests: KrigInv, GPareto
License: GPL-2 | GPL-3
URL: http://dice.emse.fr/
RoxygenNote: 7.1.1
NeedsCompilation: yes
Packaged: 2021-01-26 17:33:52 UTC; victor
Repository: CRAN
Date/Publication: 2021-01-27 09:30:24 UTC
Author: Victor Picheny [aut, cre], David Ginsbourger Green [aut], Olivier Roustant [aut], Mickael Binois [ctb], Sebastien Marmin [ctb], Tobias Wagner [ctb]
Maintainer: Victor Picheny <victor.picheny@toulouse.inra.fr>
Encoding: UTF-8

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New package countdata with initial version 1.1
Package: countdata
Type: Package
Title: The Beta-Binomial Test for Count Data
Version: 1.1
Date: 2021-01-24
Authors@R: c(person("Thang", "Pham", email = "t.pham@amsterdamumc.nl", role = c("aut", "cre", "cph", "ctb"), comment = c(ORCID = "0000-0003-0333-2492")))
Maintainer: Thang Pham <t.pham@amsterdamumc.nl>
Description: The beta-binomial test is used for significance analysis of independent samples by Pham et al. (2010) <doi:10.1093/bioinformatics/btp677>. The inverted beta-binomial test is used for paired sample testing, e.g. pre-treatment and post-treatment data, by Pham and Jimenez (2012) <doi:10.1093/bioinformatics/bts394>.
Depends: R (>= 2.10)
License: BSD_3_clause + file LICENSE
Encoding: UTF-8
LazyData: true
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2021-01-24 14:21:58 UTC; t.pham
Author: Thang Pham [aut, cre, cph, ctb] (<https://orcid.org/0000-0003-0333-2492>)
Repository: CRAN
Date/Publication: 2021-01-27 10:00:04 UTC

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Package cancensus updated to version 0.4.1 with previous version 0.4.0 dated 2021-01-16

Title: Access, Retrieve, and Work with Canadian Census Data and Geography
Description: Integrated, convenient, and uniform access to Canadian Census data and geography retrieved using the 'CensusMapper' API. This package produces analysis-ready tidy data frames and spatial data in multiple formats, as well as convenience functions for working with Census variables, variable hierarchies, and region selection. API keys are freely available with free registration at <https://censusmapper.ca/api>. Census data and boundary geometries are reproduced and distributed on an "as is" basis with the permission of Statistics Canada (Statistics Canada 2001; 2006; 2011; 2016).
Author: Jens von Bergmann [aut] (API creator and maintainer), Dmitry Shkolnik [aut, cre] (Package maintainer, responsible for correspondence), Aaron Jacobs [aut]
Maintainer: Dmitry Shkolnik <shkolnikd@gmail.com>

Diff between cancensus versions 0.4.0 dated 2021-01-16 and 0.4.1 dated 2021-01-27

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Package binostics updated to version 0.1.3 with previous version 0.1.2 dated 2019-03-06

Title: Compute Scagnostics
Description: Calculates graph theoretic scagnostics. Scagnostics describe various measures of interest for pairs of variables, based on their appearance on a scatterplot. They are useful tool for discovering interesting or unusual scatterplots from a scatterplot matrix, without having to look at every individual plot.
Author: Ursula Laa [cre, aut], Heike Hofmann [aut], Lee Wilkinson [aut], Hadley Wickham [aut], Duncan Temple Lang [aut], Anushka Anand [aut]
Maintainer: Ursula Laa <ursula.laa@boku.ac.at>

Diff between binostics versions 0.1.2 dated 2019-03-06 and 0.1.3 dated 2021-01-27

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 binostics-0.1.3/binostics/src/Scagnostics.h       |    4 +--
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 14 files changed, 52 insertions(+), 45 deletions(-)

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New package ambiorix with initial version 1.0.2
Package: ambiorix
Title: Web Framework Inspired by 'Express.js'
Version: 1.0.2
Authors@R: person(given = "John", family = "Coene", role = c("aut", "cre"), email = "jcoenep@gmail.com", comment = c(ORCID = "0000-0002-6637-4107"))
Description: A web framework inspired by 'express.js' to build any web service from multi-page websites to 'RESTful' application programming interfaces.
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Imports: fs, log, cli, glue, here, httpuv, methods, promises, jsonlite, websocket, assertthat
Suggests: mime, readr, htmltools, htmlwidgets
URL: https://github.com/JohnCoene/ambiorix, https://ambiorix.john-coene.com
BugReports: https://github.com/JohnCoene/ambiorix/issues
NeedsCompilation: no
Packaged: 2021-01-24 16:09:32 UTC; jp
Author: John Coene [aut, cre] (<https://orcid.org/0000-0002-6637-4107>)
Maintainer: John Coene <jcoenep@gmail.com>
Repository: CRAN
Date/Publication: 2021-01-27 10:00:07 UTC

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Package retimes (with last version 0.1-2) was removed from CRAN

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

2013-07-01 0.1-2
2013-06-07 0.1-1
2012-11-10 0.1-0

Permanent link
Package regtest (with last version 0.05) was removed from CRAN

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

2012-08-17 0.05
2009-01-29 0.04
2007-10-22 0.02
2007-10-21 0.01-1
2007-08-25 0.01

Permanent link
Package bivarRIpower (with last version 1.2) was removed from CRAN

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

2010-12-03 1.2

Permanent link
Package FTICRMS (with last version 0.8) was removed from CRAN

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

2009-12-01 0.8
2009-02-15 0.7
2008-10-07 0.6
2008-05-26 0.5

Permanent link
New package simgof with initial version 1.0.2
Package: simgof
Title: Simultaneous Goodness-of-Fits Tests
Version: 1.0.2
Authors@R: person(given = "Wolfgang", family = "Rolke", role = c("aut", "cre"), email = "wolfgang.rolke@upr.edu", comment = c(ORCID = "0000-0002-3514-726X"))
Description: Routine that allows the user to run several goodness-of-fit tests. It also combines the tests and returns a properly adjusted family-wise p value. Details can be found in <arXiv:2007.04727>.
Depends: R (>= 3.1.0)
Imports: ddst, stats, graphics
License: GPL-2
Encoding: UTF-8
NeedsCompilation: no
LazyData: true
RoxygenNote: 7.1.1
Packaged: 2021-01-23 18:21:35 UTC; Wolfgang
Author: Wolfgang Rolke [aut, cre] (<https://orcid.org/0000-0002-3514-726X>)
Maintainer: Wolfgang Rolke <wolfgang.rolke@upr.edu>
Repository: CRAN
Date/Publication: 2021-01-27 09:00:02 UTC

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New package rgee with initial version 1.0.8
Package: rgee
Title: R Bindings for Calling the 'Earth Engine' API
Version: 1.0.8
Authors@R: c(person(given = "Cesar", family = "Aybar", role = c("aut", "cre"), email = "csaybar@gmail.com", comment = c(ORCID = "0000-0003-2745-9535")), person(given = "Wu", family = "Qiusheng", role = c("ctb"), email = "giswqs@gmail.com", comment = c(ORCID = "0000-0001-5437-4073")), person(given = "Lesly", family = "Bautista", role = c("ctb"), email = "leslyarcelly.213@gmail.com", comment = c(ORCID = "0000-0003-3523-8687")), person(given = "Roy", family = "Yali", role = c("ctb"), email = "ryali93@gmail.com", comment = c(ORCID = "0000-0003-4542-3755")), person(given = "Antony", family = "Barja", role = c("ctb"), email = "antony.barja8@gmail.com", comment = c(ORCID = "0000-0001-5921-2858")), person(given = "Kevin", family = "Ushey", role = c("ctb"), email = "kevin@rstudio.com"), person(given = "Jeroen", family = "Ooms", role = c("ctb"), email = "jeroen@berkeley.edu", comment = c(ORCID = "0000-0002-4035-0289")), person(given = "Tim", family = "Appelhans", role = c("ctb"), email = "tim.appelhans@gmail.com"), person(given = "JJ", family = "Allaire", role = c("ctb"), email = "jj@rstudio.com"), person(given = "Yuan", family = "Tang", role = c("ctb"), email = "terrytangyuan@gmail.com"), person(given = "Samapriya", family = "Roy", role = c("ctb"), email = "samapriya.roy@gmail.com"), person(given = "MariaElena", family = "Adauto", role = c("ctb"), email = "2a.mariaelena@gmail.com", comment = c(ORCID = "0000-0002-2154-2429")), person(given = "Gabriel", family = "Carrasco", role = c("ctb"), email = "gabriel.carrasco@upch.pe", comment = c(ORCID = "0000-0002-6945-0419")), person(given = "Henrik", family = "Bengtsson", role = c("ctb"), email = "henrikb@braju.com"), person(given = "Jeffrey", family = "Hollister", role = c("rev"), email = "hollister.jeff@epa.gov", comment = "Hollister reviewed the package for JOSS, see https://github.com/openjournals/joss-reviews/issues/2272/"), person(given = "Gennadii", family = "Donchyts", role = c("rev"), comment = "Gena reviewed the package for JOSS, see https://github.com/openjournals/joss-reviews/issues/2272/"), person(given = "Marius", family = "Appel", role = c("rev"), email = "marius.appel@uni-muenster.de", comment = "Appel reviewed the package for JOSS, see https://github.com/openjournals/joss-reviews/issues/2272/"))
Description: Earth Engine <https://earthengine.google.com/> client library for R. All of the 'Earth Engine' API classes, modules, and functions are made available. Additional functions implemented include importing (exporting) of Earth Engine spatial objects, extraction of time series, interactive map display, assets management interface, and metadata display. See <https://r-spatial.github.io/rgee/> for further details.
License: Apache License (>= 2.0)
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Depends: R (>= 3.3.0)
Imports: methods, reticulate (>= 1.15), magrittr, processx, crayon, cli
Suggests: leaflet (>= 2.0.2), leaflet.extras2, magick, geojsonio, sf, stars, googledrive (>= 1.0.0), googleCloudStorageR (>= 0.5.1), rstudioapi (>= 0.7), jsonlite, leafem, raster, rgdal, httr, digest, spelling, testthat, future, covr, knitr, rmarkdown, png
URL: https://github.com/r-spatial/rgee/, https://r-spatial.github.io/rgee/, https://github.com/google/earthengine-api/
BugReports: https://github.com/r-spatial/rgee/issues/
VignetteBuilder: knitr
Language: en-US
Config/reticulate: list( packages = list( list(package = "earthengine-api", pip = TRUE) ) )
NeedsCompilation: no
Packaged: 2021-01-23 16:32:55 UTC; csaybar
Author: Cesar Aybar [aut, cre] (<https://orcid.org/0000-0003-2745-9535>), Wu Qiusheng [ctb] (<https://orcid.org/0000-0001-5437-4073>), Lesly Bautista [ctb] (<https://orcid.org/0000-0003-3523-8687>), Roy Yali [ctb] (<https://orcid.org/0000-0003-4542-3755>), Antony Barja [ctb] (<https://orcid.org/0000-0001-5921-2858>), Kevin Ushey [ctb], Jeroen Ooms [ctb] (<https://orcid.org/0000-0002-4035-0289>), Tim Appelhans [ctb], JJ Allaire [ctb], Yuan Tang [ctb], Samapriya Roy [ctb], MariaElena Adauto [ctb] (<https://orcid.org/0000-0002-2154-2429>), Gabriel Carrasco [ctb] (<https://orcid.org/0000-0002-6945-0419>), Henrik Bengtsson [ctb], Jeffrey Hollister [rev] (Hollister reviewed the package for JOSS, see https://github.com/openjournals/joss-reviews/issues/2272/), Gennadii Donchyts [rev] (Gena reviewed the package for JOSS, see https://github.com/openjournals/joss-reviews/issues/2272/), Marius Appel [rev] (Appel reviewed the package for JOSS, see https://github.com/openjournals/joss-reviews/issues/2272/)
Maintainer: Cesar Aybar <csaybar@gmail.com>
Repository: CRAN
Date/Publication: 2021-01-27 08:50:03 UTC

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Package Rankcluster updated to version 0.94.5 with previous version 0.94.4 dated 2020-10-06

Title: Model-Based Clustering for Multivariate Partial Ranking Data
Description: Implementation of a model-based clustering algorithm for ranking data (C. Biernacki, J. Jacques (2013) <doi:10.1016/j.csda.2012.08.008>). Multivariate rankings as well as partial rankings are taken into account. This algorithm is based on an extension of the Insertion Sorting Rank (ISR) model for ranking data, which is a meaningful and effective model parametrized by a position parameter (the modal ranking, quoted by mu) and a dispersion parameter (quoted by pi). The heterogeneity of the rank population is modelled by a mixture of ISR, whereas conditional independence assumption is considered for multivariate rankings.
Author: Quentin Grimonprez [aut, cre], Julien Jacques [aut], Christophe Biernacki [aut]
Maintainer: Quentin Grimonprez <quentingrim@yahoo.fr>

Diff between Rankcluster versions 0.94.4 dated 2020-10-06 and 0.94.5 dated 2021-01-27

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Package findpython updated to version 1.0.7 with previous version 1.0.5 dated 2019-03-08

Title: Functions to Find an Acceptable Python Binary
Description: Package designed to find an acceptable python binary.
Author: Trevor L Davis [aut, cre], Paul Gilbert [aut]
Maintainer: Trevor L Davis <trevor.l.davis@gmail.com>

Diff between findpython versions 1.0.5 dated 2019-03-08 and 1.0.7 dated 2021-01-27

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Package RVAideMemoire updated to version 0.9-79 with previous version 0.9-78 dated 2020-09-04

Title: Testing and Plotting Procedures for Biostatistics
Description: Contains miscellaneous functions useful in biostatistics, mostly univariate and multivariate testing procedures with a special emphasis on permutation tests. Many functions intend to simplify user's life by shortening existing procedures or by implementing plotting functions that can be used with as many methods from different packages as possible.
Author: Maxime Herv<e9>
Maintainer: Maxime Herv<e9> <maxime.herve@univ-rennes1.fr>

Diff between RVAideMemoire versions 0.9-78 dated 2020-09-04 and 0.9-79 dated 2021-01-27

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Package sparsebnUtils updated to version 0.0.8 with previous version 0.0.7 dated 2019-05-29

Title: Utilities for Learning Sparse Bayesian Networks
Description: A set of tools for representing and estimating sparse Bayesian networks from continuous and discrete data, as described in Aragam, Gu, and Zhou (2017) <arXiv:1703.04025>.
Author: Bryon Aragam [aut, cre], Jiaying Gu [aut]
Maintainer: Bryon Aragam <sparsebn@gmail.com>

Diff between sparsebnUtils versions 0.0.7 dated 2019-05-29 and 0.0.8 dated 2021-01-27

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Package reprex updated to version 1.0.0 with previous version 0.3.0 dated 2019-05-16

Title: Prepare Reproducible Example Code via the Clipboard
Description: Convenience wrapper that uses the 'rmarkdown' package to render small snippets of code to target formats that include both code and output. The goal is to encourage the sharing of small, reproducible, and runnable examples on code-oriented websites, such as <https://stackoverflow.com> and <https://github.com>, or in email. The user's clipboard is the default source of input code and the default target for rendered output. 'reprex' also extracts clean, runnable R code from various common formats, such as copy/paste from an R session.
Author: Jennifer Bryan [aut, cre] (<https://orcid.org/0000-0002-6983-2759>), Jim Hester [aut] (<https://orcid.org/0000-0002-2739-7082>), David Robinson [aut], Hadley Wickham [aut] (<https://orcid.org/0000-0003-4757-117X>), RStudio [cph, fnd]
Maintainer: Jennifer Bryan <jenny@rstudio.com>

Diff between reprex versions 0.3.0 dated 2019-05-16 and 1.0.0 dated 2021-01-27

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Package dlookr updated to version 0.4.0 with previous version 0.3.14 dated 2020-11-17

Title: Tools for Data Diagnosis, Exploration, Transformation
Description: A collection of tools that support data diagnosis, exploration, and transformation. Data diagnostics provides information and visualization of missing values and outliers and unique and negative values to help you understand the distribution and quality of your data. Data exploration provides information and visualization of the descriptive statistics of univariate variables, normality tests and outliers, correlation of two variables, and relationship between target variable and predictor. Data transformation supports binning for categorizing continuous variables, imputates missing values and outliers, resolving skewness. And it creates automated reports that support these three tasks.
Author: Choonghyun Ryu [aut, cre]
Maintainer: Choonghyun Ryu <choonghyun.ryu@gmail.com>

Diff between dlookr versions 0.3.14 dated 2020-11-17 and 0.4.0 dated 2021-01-27

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Package assertable updated to version 0.2.8 with previous version 0.2.7 dated 2019-09-21

Title: Verbose Assertions for Tabular Data (Data.frames and Data.tables)
Description: Simple, flexible, assertions on data.frame or data.table objects with verbose output for vetting. While other assertion packages apply towards more general use-cases, assertable is tailored towards tabular data. It includes functions to check variable names and values, whether the dataset contains all combinations of a given set of unique identifiers, and whether it is a certain length. In addition, assertable includes utility functions to check the existence of target files and to efficiently import multiple tabular data files into one data.table.
Author: Grant Nguyen [aut, cre], Max Czapanskiy [ctb]
Maintainer: Grant Nguyen <grant.nguyen@gmail.com>

Diff between assertable versions 0.2.7 dated 2019-09-21 and 0.2.8 dated 2021-01-27

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More information about assertable at CRAN
Permanent link

Package arrow updated to version 3.0.0 with previous version 2.0.0 dated 2020-10-20

Title: Integration to 'Apache' 'Arrow'
Description: 'Apache' 'Arrow' <https://arrow.apache.org/> is a cross-language development platform for in-memory data. It specifies a standardized language-independent columnar memory format for flat and hierarchical data, organized for efficient analytic operations on modern hardware. This package provides an interface to the 'Arrow C++' library.
Author: Romain François [aut] (<https://orcid.org/0000-0002-2444-4226>), Jeroen Ooms [aut], Neal Richardson [aut, cre], Javier Luraschi [ctb], Jeffrey Wong [ctb], Apache Arrow [aut, cph]
Maintainer: Neal Richardson <neal@ursalabs.org>

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Package printr updated to version 0.1.1 with previous version 0.1 dated 2017-05-19

Title: Automatically Print R Objects to Appropriate Formats According to the 'knitr' Output Format
Description: Extends the S3 generic function knit_print() in 'knitr' to automatically print some objects using an appropriate format such as Markdown or LaTeX. For example, data frames are automatically printed as tables, and the help() pages can also be rendered in 'knitr' documents.
Author: Yihui Xie
Maintainer: Yihui Xie <xie@yihui.name>

Diff between printr versions 0.1 dated 2017-05-19 and 0.1.1 dated 2021-01-27

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Package modelbased updated to version 0.5.1 with previous version 0.5.0 dated 2021-01-15

Title: Estimation of Model-Based Predictions, Contrasts and Means
Description: Implements a general interface for model-based estimations for a wide variety of models (see support list of insight; Lüdecke, Waggoner & Makowski (2019) <doi:10.21105/joss.01412>), used in the computation of marginal means, contrast analysis and predictions.
Author: Dominique Makowski [aut, cre] (<https://orcid.org/0000-0001-5375-9967>), Daniel Lüdecke [aut] (<https://orcid.org/0000-0002-8895-3206>), Mattan S. Ben-Shachar [aut] (<https://orcid.org/0000-0002-4287-4801>)
Maintainer: Dominique Makowski <dom.makowski@gmail.com>

Diff between modelbased versions 0.5.0 dated 2021-01-15 and 0.5.1 dated 2021-01-27

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 README.md                           |  127 ++++++++++++++++++------------------
 man/estimate_means.stanreg.Rd       |    3 
 man/figures/unnamed-chunk-13-1.png  |binary
 man/figures/unnamed-chunk-5-1.png   |binary
 man/figures/unnamed-chunk-8-1.png   |binary
 tests/testthat/test-estimate_link.R |   26 +++++--
 tests/testthat/test-mgcv.R          |   19 ++++-
 13 files changed, 130 insertions(+), 92 deletions(-)

More information about modelbased at CRAN
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Package PythonInR (with last version 0.1-12) was removed from CRAN

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

2020-06-21 0.1-12
2020-03-19 0.1-11
2020-03-10 0.1-9
2019-04-23 0.1-7
2018-09-17 0.1-6
2018-01-17 0.1-4
2015-11-19 0.1-3
2015-11-14 0.1-2
2015-09-19 0.1-1
2015-07-09 0.1-0

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