Fri, 18 Jun 2021

Package dplyr updated to version 1.0.7 with previous version 1.0.6 dated 2021-05-05

Title: A Grammar of Data Manipulation
Description: A fast, consistent tool for working with data frame like objects, both in memory and out of memory.
Author: Hadley Wickham [aut, cre] (<https://orcid.org/0000-0003-4757-117X>), Romain François [aut] (<https://orcid.org/0000-0002-2444-4226>), Lionel Henry [aut], Kirill Müller [aut] (<https://orcid.org/0000-0002-1416-3412>), RStudio [cph, fnd]
Maintainer: Hadley Wickham <hadley@rstudio.com>

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Package uclust updated to version 1.0.0 with previous version 0.2.0 dated 2020-01-20

Title: Clustering and Classification Inference with U-Statistics
Description: Clustering and classification inference for high dimension low sample size (HDLSS) data with U-statistics. The package contains implementations of nonparametric statistical tests for sample homogeneity, group separation, clustering, and classification of multivariate data. The methods have high statistical power and are tailored for data in which the dimension L is much larger than sample size n. See Gabriela B. Cybis, Marcio Valk and Sílvia RC Lopes (2018) <doi:10.1080/00949655.2017.1374387>, Marcio Valk and Gabriela B. Cybis (2020) <doi:10.1080/10618600.2020.1796398>, Debora Z. Bello, Marcio Valk and Gabriela B. Cybis (2021) <arXiv:2106.09115>.
Author: Gabriela Cybis [aut, cre], Marcio Valk [aut], Kazuki Yokoyama [ctb], Debora Zava Bello [ctb]
Maintainer: Gabriela Cybis <gcybis@gmail.com>

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Package wsyn updated to version 1.0.4 with previous version 1.0.3 dated 2021-01-11

Title: Wavelet Approaches to Studies of Synchrony in Ecology and Other Fields
Description: Tools for a wavelet-based approach to analyzing spatial synchrony, principally in ecological data. Some tools will be useful for studying community synchrony. See, for instance, Sheppard et al (2016) <doi: 10.1038/NCLIMATE2991>, Sheppard et al (2017) <doi: 10.1051/epjnbp/2017000>, Sheppard et al (2019) <doi: 10.1371/journal.pcbi.1006744>.
Author: Daniel C. Reuman [aut, cre], Thomas L. Anderson [aut], Jonathan A. Walter [aut], Lei Zhao [aut], Lawrence W. Sheppard [aut]
Maintainer: Daniel C. Reuman <reuman@ku.edu>

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Package pksensi updated to version 1.2.1 with previous version 1.2.0 dated 2020-06-15

Title: Global Sensitivity Analysis in Physiologically Based Kinetic Modeling
Description: Applying the global sensitivity analysis workflow to investigate the parameter uncertainty and sensitivity in physiologically based kinetic (PK) models, especially the physiologically based pharmacokinetic/toxicokinetic model with multivariate outputs. The package also provides some functions to check the convergence and sensitivity of model parameters. The workflow was first mentioned in Hsieh et al., (2018) <doi:10.3389/fphar.2018.00588>, then further refined (Hsieh et al., 2020 <doi:10.1016/j.softx.2020.100609>).
Author: Nan-Hung Hsieh [aut, cre] (<https://orcid.org/0000-0003-0163-2766>), Brad Reisfeld [ctb] (<https://orcid.org/0000-0003-1310-1495>), Weihsueh A. Chiu [ctb] (<https://orcid.org/0000-0002-7575-2368>)
Maintainer: Nan-Hung Hsieh <d99622005@ntu.edu.tw>

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Package epubr updated to version 0.6.3 with previous version 0.6.2 dated 2021-02-20

Title: Read EPUB File Metadata and Text
Description: Provides functions supporting the reading and parsing of internal e-book content from EPUB files. The 'epubr' package provides functions supporting the reading and parsing of internal e-book content from EPUB files. E-book metadata and text content are parsed separately and joined together in a tidy, nested tibble data frame. E-book formatting is not completely standardized across all literature. It can be challenging to curate parsed e-book content across an arbitrary collection of e-books perfectly and in completely general form, to yield a singular, consistently formatted output. Many EPUB files do not even contain all the same pieces of information in their respective metadata. EPUB file parsing functionality in this package is intended for relatively general application to arbitrary EPUB e-books. However, poorly formatted e-books or e-books with highly uncommon formatting may not work with this package. There may even be cases where an EPUB file has DRM or some other property that makes it impossible to read with 'epubr'. Text is read 'as is' for the most part. The only nominal changes are minor substitutions, for example curly quotes changed to straight quotes. Substantive changes are expected to be performed subsequently by the user as part of their text analysis. Additional text cleaning can be performed at the user's discretion, such as with functions from packages like 'tm' or 'qdap'.
Author: Matthew Leonawicz [aut, cre] (<https://orcid.org/0000-0001-9452-2771>)
Maintainer: Matthew Leonawicz <mfleonawicz@gmail.com>

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Package discourseGT updated to version 1.1.6 with previous version 1.1.5 dated 2021-04-02

Title: Analyze Group Patterns using Graph Theory in Educational Settings
Description: Analyzes group patterns using discourse analysis data with graph theory mathematics. Takes the order of which individuals talk and converts it to a network edge and weight list. Returns the density, centrality, centralization, and subgroup information for each group. Based on the analytical framework laid out in Chai et al. (2019) <doi:10.1187/cbe.18-11-0222>.
Author: Albert Chai [aut], Andrew Lee [aut], Joshua Le [aut, cre], Katherine Ly [ctb], Kevin Banh [ctb], Priya Pahal [ctb], Jitarth Sheth [ctb], Stanley Lo [aut]
Maintainer: Joshua Le <jpl038@ucsd.edu>

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Package psychTools updated to version 2.1.6 with previous version 2.1.3 dated 2021-03-28

Title: Tools to Accompany the 'psych' Package for Psychological Research
Description: Support functions, data sets, and vignettes for the 'psych' package. Contains several of the biggest data sets for the 'psych' package as well as one vignette. A few helper functions for file manipulation are included as well. For more information, see the <https://personality-project.org/r/> web page.
Author: William Revelle [aut, cre] (<https://orcid.org/0000-0003-4880-9610>)
Maintainer: William Revelle <revelle@northwestern.edu>

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Package psych updated to version 2.1.6 with previous version 2.1.3 dated 2021-03-27

Title: Procedures for Psychological, Psychometric, and Personality Research
Description: A general purpose toolbox for personality, psychometric theory and experimental psychology. Functions are primarily for multivariate analysis and scale construction using factor analysis, principal component analysis, cluster analysis and reliability analysis, although others provide basic descriptive statistics. Item Response Theory is done using factor analysis of tetrachoric and polychoric correlations. Functions for analyzing data at multiple levels include within and between group statistics, including correlations and factor analysis. Functions for simulating and testing particular item and test structures are included. Several functions serve as a useful front end for structural equation modeling. Graphical displays of path diagrams, factor analysis and structural equation models are created using basic graphics. Some of the functions are written to support a book on psychometric theory as well as publications in personality research. For more information, see the <https://personality-project.org/r/> web page.
Author: William Revelle [aut, cre] (<https://orcid.org/0000-0003-4880-9610>)
Maintainer: William Revelle <revelle@northwestern.edu>

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Package seqHMM updated to version 1.1.0 with previous version 1.0.14 dated 2019-10-22

Title: Mixture Hidden Markov Models for Social Sequence Data and Other Multivariate, Multichannel Categorical Time Series
Description: Designed for fitting hidden (latent) Markov models and mixture hidden Markov models for social sequence data and other categorical time series. Also some more restricted versions of these type of models are available: Markov models, mixture Markov models, and latent class models. The package supports models for one or multiple subjects with one or multiple parallel sequences (channels). External covariates can be added to explain cluster membership in mixture models. The package provides functions for evaluating and comparing models, as well as functions for visualizing of multichannel sequence data and hidden Markov models. Models are estimated using maximum likelihood via the EM algorithm and/or direct numerical maximization with analytical gradients. All main algorithms are written in C++ with support for parallel computation. Documentation is available via several vignettes in this page, and the paper by Helske and Helske (2019, <doi:10.18637/jss.v088.i03>).
Author: Jouni Helske [aut, cre] (<https://orcid.org/0000-0001-7130-793X>), Satu Helske [aut] (<https://orcid.org/0000-0003-0532-0153>)
Maintainer: Jouni Helske <jouni.helske@iki.fi>

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Package DOPE updated to version 2.1.0 with previous version 2.0.1 dated 2021-05-12

Title: Drug Ontology Parsing Engine
Description: Provides information on drug names (brand, generic and street) for drugs tracked by the DEA. There are functions that will search synonyms and return the drug names and types. The vignettes have extensive information on the work done to create the data for the package.
Author: Raymond Balise [aut, cre] (<https://orcid.org/0000-0002-9856-5901>), Layla Bouzoubaa [aut] (<https://orcid.org/0000-0002-6616-0950>), Gabriel Odom [aut] (<https://orcid.org/0000-0003-1341-4555>), Nathaniel Castor [aut]
Maintainer: Raymond Balise <balise@miami.edu>

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Package SHELF updated to version 1.8.0 with previous version 1.7.0 dated 2020-02-08

Title: Tools to Support the Sheffield Elicitation Framework
Description: Implements various methods for eliciting a probability distribution for a single parameter from an expert or a group of experts. The expert provides a small number of probability judgements, corresponding to points on his or her cumulative distribution function. A range of parametric distributions can then be fitted and displayed, with feedback provided in the form of fitted probabilities and percentiles. For multiple experts, a weighted linear pool can be calculated. Also includes functions for eliciting beliefs about population distributions, eliciting multivariate distributions using a Gaussian copula, eliciting a Dirichlet distribution, and eliciting distributions for variance parameters in a random effects meta-analysis model. R Shiny apps for most of the methods are included.
Author: Jeremy Oakley
Maintainer: Jeremy Oakley <j.oakley@sheffield.ac.uk>

Diff between SHELF versions 1.7.0 dated 2020-02-08 and 1.8.0 dated 2021-06-18

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 SHELF-1.8.0/SHELF/MD5                                                                    |  105 +-
 SHELF-1.8.0/SHELF/NAMESPACE                                                              |    2 
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 SHELF-1.8.0/SHELF/R/expertquantiles.R                                                    |   50 
 SHELF-1.8.0/SHELF/R/feedbackgroup.R                                                      |   15 
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 SHELF-1.8.0/SHELF/R/plinearpool.R                                                        |   10 
 SHELF-1.8.0/SHELF/R/plotQuartiles.R                                                      |   24 
 SHELF-1.8.0/SHELF/R/plotTertiles.R                                                       |   23 
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 SHELF-1.8.0/SHELF/R/plotsingle.R                                                         |   18 
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 SHELF-1.8.0/SHELF/R/sampleFit.R                                                          |   22 
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 SHELF-1.8.0/SHELF/man/makeCDFPlot.Rd                                                     |    3 
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Package medfate updated to version 2.2.3 with previous version 2.2.1 dated 2021-06-11

Title: Mediterranean Forest Simulation
Description: Functions to simulate Mediterranean forest functioning and dynamics using cohort-based description of vegetation [De Caceres et al. (2015) <doi:10.1016/j.agrformet.2015.06.012>; De Caceres et al. (2021) <doi:10.1016/j.agrformet.2020.108233>].
Author: Miquel De Cáceres [aut, cre], Shengli Huang [aut], Víctor Granda [aut], Antoine Cabon [aut], Jordi Martínez-Vilalta [ctb], Maurizio Mencuccini [ctb], Nicolas Martin-StPaul [ctb]
Maintainer: Miquel De Cáceres <miquelcaceres@gmail.com>

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Package intePareto updated to version 0.1.2 with previous version 0.1.1 dated 2021-06-11

Title: Integrative Analysis of RNA-Seq and ChIP-Seq Data
Description: Integrative analysis of gene expression (RNA-Seq data), and histone modification data for user-defined sets of histone marks (ChIP-Seq data) to discover consistent changes in genes between biological conditions. Additionally, Pareto optimization is used to prioritize genes based on the level of consistent changes in both RNA-Seq and ChIP-Seq data. Method is described in Cao, Y. et al. (2020) <doi:10.1186/s12864-020-07205-6>.
Author: Yingying Cao [aut, cre]
Maintainer: Yingying Cao <yingying.cao@uni-due.de>

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Package rgovcan updated to version 1.0.3 with previous version 1.0.2 dated 2021-06-14

Title: Easy Access to the Canadian Open Government Portal
Description: Allows to search for existing resources, including datasets, on the Canadian Open Government portal (<https://open.canada.ca/en>). It is also designed to allow users to easily download a range of files directly from the portal in a reproducible manner.
Author: Valentin Lucet [aut, cre], Kevin Cazelles [ctb] (<https://orcid.org/0000-0001-6619-9874>)
Maintainer: Valentin Lucet <valentin.lucet@gmail.com>

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Package ergm.count updated to version 4.0.2 with previous version 3.4.0 dated 2019-05-15

Title: Fit, Simulate and Diagnose Exponential-Family Models for Networks with Count Edges
Description: A set of extensions for the 'ergm' package to fit weighted networks whose edge weights are counts. See Krivitsky (2012) <doi:10.1214/12-EJS696> and Krivitsky, Hunter, Morris, and Klumb (2021) <arXiv:2106.04997>.
Author: Pavel N. Krivitsky [aut, cre] (<https://orcid.org/0000-0002-9101-3362>), Mark S. Handcock [ctb], David R. Hunter [ctb]
Maintainer: Pavel N. Krivitsky <pavel@statnet.org>

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Package mlflow updated to version 1.18.0 with previous version 1.17.0 dated 2021-05-08

Title: Interface to 'MLflow'
Description: R interface to 'MLflow', open source platform for the complete machine learning life cycle, see <https://mlflow.org/>. This package supports installing 'MLflow', tracking experiments, creating and running projects, and saving and serving models.
Author: Matei Zaharia [aut, cre], Javier Luraschi [aut], Kevin Kuo [aut] (<https://orcid.org/0000-0001-7803-7901>), RStudio [cph]
Maintainer: Matei Zaharia <matei@databricks.com>

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Package jagsUI updated to version 1.5.2 with previous version 1.5.1 dated 2019-07-30

Title: A Wrapper Around 'rjags' to Streamline 'JAGS' Analyses
Description: A set of wrappers around 'rjags' functions to run Bayesian analyses in 'JAGS' (specifically, via 'libjags'). A single function call can control adaptive, burn-in, and sampling MCMC phases, with MCMC chains run in sequence or in parallel. Posterior distributions are automatically summarized (with the ability to exclude some monitored nodes if desired) and functions are available to generate figures based on the posteriors (e.g., predictive check plots, traceplots). Function inputs, argument syntax, and output format are nearly identical to the 'R2WinBUGS'/'R2OpenBUGS' packages to allow easy switching between MCMC samplers.
Author: Ken Kellner [cre, aut], Mike Meredith [ctb]
Maintainer: Ken Kellner <contact@kenkellner.com>

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Package disaggR updated to version 1.0.0 with previous version 0.2.1 dated 2021-05-03

Title: Two-Steps Benchmarks for Time Series Disaggregation
Description: The twoStepsBenchmark() and threeRuleSmooth() functions allow you to disaggregate a low-frequency time-serie with time-series of higher frequency, using the French National Accounts methodology. The aggregated sum of the resulting time-serie is strictly equal to the low-frequency serie within the benchmarking window. Typically, the low-frequency serie is an annual one, unknown for the last year, and the high frequency one is either quarterly or mensual. See "Methodology of quarterly national accounts", Insee Méthodes N°126, by Insee (2012, ISBN:978-2-11-068613-8).
Author: Arnaud Feldmann [aut, cre] (<https://orcid.org/0000-0003-0109-7505>), Franck Arnaud [ctb] (barplot base graphics method for the mts class), Institut national de la statistique et des études économiques [cph] (https://www.insee.fr/)
Maintainer: Arnaud Feldmann <arnaud.feldmann@insee.fr>

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Package vdiffr updated to version 1.0.2 with previous version 1.0.1 dated 2021-06-17

Title: Visual Regression Testing and Graphical Diffing
Description: An extension to the 'testthat' package that makes it easy to add graphical unit tests. It provides a Shiny application to manage the test cases.
Author: Lionel Henry [cre, aut], Thomas Lin Pedersen [aut] (<https://orcid.org/0000-0002-5147-4711>), RStudio [cph], T Jake Luciani [aut] (svglite), Matthieu Decorde [aut] (svglite), Vaudor Lise [aut] (svglite), Tony Plate [ctb] (svglite: Early line dashing code), David Gohel [ctb] (svglite: Line dashing code and raster code), Yixuan Qiu [ctb] (svglite: Improved styles; polypath implementation), Håkon Malmedal [ctb] (svglite: Opacity code)
Maintainer: Lionel Henry <lionel@rstudio.com>

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Package tigris updated to version 1.4.1 with previous version 1.4 dated 2021-05-16

Title: Load Census TIGER/Line Shapefiles
Description: Download TIGER/Line shapefiles from the United States Census Bureau (<https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html>) and load into R as 'sf' objects.
Author: Kyle Walker [aut, cre], Bob Rudis [ctb]
Maintainer: Kyle Walker <kyle@walker-data.com>

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Package sparta updated to version 0.8.0 with previous version 0.7.3 dated 2021-04-22

Title: Sparse Tables
Description: Fast Multiplication and Marginalization of Sparse Tables.
Author: Mads Lindskou [aut, cre]
Maintainer: Mads Lindskou <mads@math.aau.dk>

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Package JSmediation updated to version 0.1.2 with previous version 0.1.1 dated 2020-01-30

Title: Mediation Analysis Using Joint Significance
Description: A set of helper functions to conduct joint-significance tests for mediation analysis, as recommended by Yzerbyt, Muller, Batailler, & Judd. (2018) <doi:10.1037/pspa0000132>.
Author: Cédric Batailler [aut, cre] (<https://orcid.org/0000-0003-0553-6827>), Dominique Muller [aut] (<https://orcid.org/0000-0001-9544-5317>), Vincent Yzerbyt [aut], Charles Judd [aut], Arnold Ho [dtc], Nour Kteily [dtc], Jacqueline Chen [dtc], Simone Dohle [dtc], Michael Siegrist [dtc]
Maintainer: Cédric Batailler <cedric.batailler@gmail.com>

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Package statgenHTP updated to version 1.0.3 with previous version 1.0.2 dated 2021-06-10

Title: High Throughput Phenotyping (HTP) Data Analysis
Description: Phenotypic analysis of data coming from high throughput phenotyping (HTP) platforms, including different types of outlier detection, spatial analysis, and parameter estimation. The package is being developed within the EPPN2020 project (<https://eppn2020.plant-phenotyping.eu/>). Some functions have been created to be used in conjunction with the R package 'asreml' for the 'ASReml' software, which can be obtained upon purchase from 'VSN' international (<https://www.vsni.co.uk/software/asreml>).
Author: Emilie J Millet [aut] (<https://orcid.org/0000-0002-2913-4892>), Maria Xose Rodriguez Alvarez [aut] (<https://orcid.org/0000-0002-1329-9238>), Diana Marcela Perez Valencia [aut] (<https://orcid.org/0000-0002-9053-2929>), Isabelle Sanchez [aut], Nadine Hilgert [aut], Bart-Jan van Rossum [aut, cre] (<https://orcid.org/0000-0002-8673-2514>), Fred van Eeuwijk [aut] (<https://orcid.org/0000-0003-3672-2921>), Martin Boer [aut]
Maintainer: Bart-Jan van Rossum <bart-jan.vanrossum@wur.nl>

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Package spData updated to version 0.3.10 with previous version 0.3.8 dated 2020-07-03

Title: Datasets for Spatial Analysis
Description: Diverse spatial datasets for demonstrating, benchmarking and teaching spatial data analysis. It includes R data of class sf (defined by the package 'sf'), Spatial ('sp'), and nb ('spdep'). Unlike other spatial data packages such as 'rnaturalearth' and 'maps', it also contains data stored in a range of file formats including GeoJSON, ESRI Shapefile and GeoPackage. Some of the datasets are designed to illustrate specific analysis techniques. cycle_hire() and cycle_hire_osm(), for example, is designed to illustrate point pattern analysis techniques.
Author: Roger Bivand [aut] (<https://orcid.org/0000-0003-2392-6140>), Jakub Nowosad [aut, cre] (<https://orcid.org/0000-0002-1057-3721>), Robin Lovelace [aut] (<https://orcid.org/0000-0001-5679-6536>), Mark Monmonier [ctb] (author of the state.vbm dataset), Greg Snow [ctb] (author of the state.vbm dataset)
Maintainer: Jakub Nowosad <nowosad.jakub@gmail.com>

Diff between spData versions 0.3.8 dated 2020-07-03 and 0.3.10 dated 2021-06-18

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New package requiRements with initial version 0.0.1
Package: requiRements
Title: Helper Package to Install Packages for R
Version: 0.0.1
Date: 2021-06-18
Authors@R: c(person(given = "Jonathan M.", family = "Mang", role = c("aut", "cre"), email = "jonathan.mang@uk-erlangen.de", comment = c(ORCID = "0000-0003-0518-4710")), person(given = "MIRACUM - Medical Informatics in Research and Care in University Medicine", role = "fnd"), person(given = "Universitätsklinikum Erlangen", role = "cph"))
Description: Helper function to install packages for R using an external 'requirements.txt' or a string containing diverse packages from several resources like Github or CRAN.
License: GPL-3
URL: https://github.com/joundso/requirements
BugReports: https://github.com/joundso/requirements/issues
Depends: R (>= 4.1.0)
Imports: remotes
Suggests: lintr, testthat
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2021-06-18 07:52:09 UTC; user
Author: Jonathan M. Mang [aut, cre] (<https://orcid.org/0000-0003-0518-4710>), MIRACUM - Medical Informatics in Research and Care in University Medicine [fnd], Universitätsklinikum Erlangen [cph]
Maintainer: Jonathan M. Mang <jonathan.mang@uk-erlangen.de>
Repository: CRAN
Date/Publication: 2021-06-18 09:20:02 UTC

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Package pRecipe updated to version 0.1.0 with previous version 0.0.1 dated 2021-06-10

Title: A Multiscale Framework for Data Analysis of Global Precipitation
Description: An open-access tool/framework to download, validate, visualize, and analyze multi-source precipitation data across various spatio-temporal scales. Ultimately providing the hydrology science community with the tools for consistent and reproducible analysis regarding precipitation.
Author: Mijael R. Vargas G. [aut, cre], Yannis Markonis [aut, ths], Rajani K. Pradhan [ctb]
Maintainer: Mijael R. Vargas G. <mirovago@gmail.com>

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Package PAsso updated to version 0.1.10 with previous version 0.1.9 dated 2021-05-07

Title: Assessing the Partial Association Between Ordinal Variables
Description: An implementation of the unified framework for assessing partial association between ordinal variables after adjusting for a set of covariates (Dungang Liu, Shaobo Li, Yan Yu and Irini Moustaki (2020), accepted by the Journal of the American Statistical Association). This package provides a set of tools to quantify, visualize, and test partial associations between multiple ordinal variables. It can produce a number of $phi$ measures, partial regression plots, 3-D plots, and $p$-values for testing $H_0: phi=0$ or $H_0: phi <= delta$.
Author: Xiaorui (Jeremy) Zhu [aut, cre], Shaobo Li [aut], Dungang Liu [ctb, aut], Yuejie Chen [ctb]
Maintainer: Xiaorui (Jeremy) Zhu <zhuxiaorui1989@gmail.com>

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Package neverhpfilter updated to version 0.4-0 with previous version 0.3-1 dated 2020-02-09

Title: An Alternative to the Hodrick-Prescott Filter
Description: In the working paper titled "Why You Should Never Use the Hodrick-Prescott Filter", James D. Hamilton proposes a new alternative to economic time series filtering. The neverhpfilter package provides functions and data for reproducing his work. Hamilton (2017) <doi:10.3386/w23429>.
Author: Justin M. Shea [aut, cre]
Maintainer: Justin M. Shea <jshea@roosevelt.edu>

Diff between neverhpfilter versions 0.3-1 dated 2020-02-09 and 0.4-0 dated 2021-06-18

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Package matrixdist updated to version 1.1.2 with previous version 1.1.0 dated 2021-06-17

Title: Statistics for Matrix Distributions
Description: Tools for homogeneous and in-homogeneous phase-type distributions. Methods for functional evaluation, simulation and estimation using the expectation-maximization (EM) algorithm are provided. The methods of this package are based on the following references. Asmussen, S., Nerman, O., & Olsson, M. (1996) <https://www.jstor.org/stable/4616418>, Olsson, M. (1996) <https://www.jstor.org/stable/4616419>. Albrecher, H., & Bladt, M. (2019) <doi:10.1017/jpr.2019.60> Albrecher, H., Bladt, M., & Yslas, J. (2020) <doi:10.1111/sjos.12505> Bladt, M., & Yslas, J. (2020) <arXiv:2011.03219>.
Author: Martin Bladt [aut, cre], Jorge Yslas [aut]
Maintainer: Martin Bladt <martinbladt@gmail.com>

Diff between matrixdist versions 1.1.0 dated 2021-06-17 and 1.1.2 dated 2021-06-18

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New package datawizard with initial version 0.1.0
Package: datawizard
Title: Easy Data Wrangling
Version: 0.1.0
Authors@R: c(person(given = "Dominique", family = "Makowski", role = "aut", email = "dom.makowski@gmail.com", comment = c(ORCID = "0000-0001-5375-9967", Twitter = "@Dom_Makowski")), person(given = "Daniel", family = "Lüdecke", role = "aut", email = "d.luedecke@uke.de", comment = c(ORCID = "0000-0002-8895-3206", Twitter = "@strengejacke")), person(given = "Indrajeet", family = "Patil", role = c("aut", "cre"), email = "patilindrajeet.science@gmail.com", comment = c(ORCID = "0000-0003-1995-6531", Twitter = "@patilindrajeets")), person(given = "Mattan S.", family = "Ben-Shachar", role = "aut", email = "matanshm@post.bgu.ac.il", comment = c(ORCID = "0000-0002-4287-4801")), person(given = "Brenton M.", family = "Wiernik", role = "aut", email = "brenton@wiernik.org", comment = c(ORCID = "0000-0001-9560-6336", Twitter = "@bmwiernik")))
Maintainer: Indrajeet Patil <patilindrajeet.science@gmail.com>
Description: A lightweight package to easily manipulate, clean, transform, and prepare your data for analysis. It also forms the data wrangling backend for the packages in the 'easystats' ecosystem.
License: GPL-3
URL: https://easystats.github.io/datawizard/
BugReports: https://github.com/easystats/datawizard/issues
Depends: R (>= 3.4)
Imports: insight (>= 0.14.1), methods, stats, utils
Suggests: bayestestR, boot, dplyr, gamm4, ggplot2, lme4, MASS, mclust, multimode, psych, purrr, rstanarm, see, sjstats, spelling, testthat (>= 3.0.0)
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2021-06-18 08:33:17 UTC; patil
Author: Dominique Makowski [aut] (<https://orcid.org/0000-0001-5375-9967>, @Dom_Makowski), Daniel Lüdecke [aut] (<https://orcid.org/0000-0002-8895-3206>, @strengejacke), Indrajeet Patil [aut, cre] (<https://orcid.org/0000-0003-1995-6531>, @patilindrajeets), Mattan S. Ben-Shachar [aut] (<https://orcid.org/0000-0002-4287-4801>), Brenton M. Wiernik [aut] (<https://orcid.org/0000-0001-9560-6336>, @bmwiernik)
Repository: CRAN
Date/Publication: 2021-06-18 09:30:02 UTC

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New package ClusPred with initial version 1.0.0
Package: ClusPred
Title: Simultaneous Semi-Parametric Estimation of Clustering and Regression
Version: 1.0.0
Authors@R: c(person("Matthieu", "Marbac", role = c("aut", "cre", "cph"), email = "matthieu.marbac-lourdelle@ensai.fr"), person("Mohammed", "Sedki", role = "aut"), person("Christophe", "Biernacki", role = "aut"), person("Vincent", "Vandewalle", role = "aut"))
Maintainer: Matthieu Marbac <matthieu.marbac-lourdelle@ensai.fr>
Description: Parameter estimation of regression models with fixed group effects, when the group variable is missing while group-related variables are available. Parametric and semi-parametric approaches described in Marbac et al. (2020) <arXiv:2012.14159> are implemented.
Imports: Rcpp, parallel, ALDqr, ald, quantreg, VGAM
LinkingTo: Rcpp, RcppArmadillo
ByteCompile: true
URL: https://arxiv.org/abs/2012.14159
LazyLoad: yes
Author: Matthieu Marbac [aut, cre, cph], Mohammed Sedki [aut], Christophe Biernacki [aut], Vincent Vandewalle [aut]
Collate: 'cluspred.R' 'RcppExports.R' 'Singleblock_algo_NP.R' 'Singleblock_algo_Param.R' 'Singleblock_prediction.R' 'tool.R' 'TwoSteps_algo.R' 'Twosteps_computelogPDFwithZ.R' 'TwoSteps_Mstep.R'
License: GPL (>= 2)
Encoding: UTF-8
Depends: R (>= 3.5)
NeedsCompilation: yes
Packaged: 2021-06-18 07:59:15 UTC; matt
Repository: CRAN
Date/Publication: 2021-06-18 09:30:06 UTC

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Package CCAMLRGIS updated to version 3.0.7 with previous version 3.0.6 dated 2020-09-10

Title: Antarctic Spatial Data Manipulation
Description: Loads and creates spatial data, including layers and tools that are relevant to the activities of the Commission for the Conservation of Antarctic Marine Living Resources. Provides two categories of functions: load functions and create functions. Load functions are used to import existing spatial layers from the online CCAMLR GIS such as the ASD boundaries. Create functions are used to create layers from user data such as polygons and grids.
Author: Stephane Thanassekos [aut, cre], Keith Reid [aut], Lucy Robinson [aut], Michael D. Sumner [ctb], Roger Bivand [ctb]
Maintainer: Stephane Thanassekos <stephane.thanassekos@ccamlr.org>

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Package accept updated to version 0.8.3 with previous version 0.8.2 dated 2021-06-15

Title: The Acute COPD Exacerbation Prediction Tool (ACCEPT)
Description: Allows clinicians to predict the rate and severity of future acute exacerbation in Chronic Obstructive Pulmonary Disease (COPD) patients, based on the clinical prediction model published in Adibi et al. (2020) <doi:10.1016/S2213-2600(19)30397-2>.
Author: Amin Adibi [aut, cre], Mohsen Sadatsafavi [aut, cph], Abdollah Safari [aut], Ainsleigh Hill [aut]
Maintainer: Amin Adibi <adibi@alumni.ubc.ca>

Diff between accept versions 0.8.2 dated 2021-06-15 and 0.8.3 dated 2021-06-18

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Package Rforestry (with last version 0.9.0.40) was removed from CRAN

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

2021-06-03 0.9.0.40
2021-04-02 0.9.0.4

Permanent link
New package sbw with initial version 1.1.3
Package: sbw
Version: 1.1.3
Date: 2021-06-17
Title: Stable Balancing Weights for Causal Inference and Missing Data
Authors@R: c(person("Jose R.", "Zubizarreta", role = c("aut", "cre"), email = "zubizarreta@hcp.med.harvard.edu"), person("Yige", "Li", role = "aut", email = "yige_li@hcp.med.harvard.edu"), person("Amine", "Allouah", role = "ctb", email = "mallouah19@gsb.columbia.edu"), person("Noah", "Greifer", role = "ctb", email = "ngreifer@live.unc.edu"))
Maintainer: Jose R. Zubizarreta <zubizarreta@hcp.med.harvard.edu>
Depends: R (>= 3.2), Matrix, quadprog, slam
Imports: MASS, spatstat.geom
Enhances: gurobi, Rcplex, Rmosek, pogs
License: GPL-2 | GPL-3
Description: Implements the Stable Balancing Weights by Zubizarreta (2015) <DOI:10.1080/01621459.2015.1023805>. These are the weights of minimum variance that approximately balance the empirical distribution of the observed covariates. For an overview, see Chattopadhyay, Hase and Zubizarreta (2020) <DOI:10.1002/(ISSN)1097-0258>. To solve the optimization problem in 'sbw', the default solver is 'quadprog', which is readily available through CRAN. To enhance the performance of 'sbw', users are encouraged to install other solvers such as 'gurobi' and 'Rmosek', which require special installation. For the installation of gurobi and pogs, please follow the instructions at <https://www.gurobi.com/documentation/9.1/quickstart_mac/r_ins_the_r_package.html> and <http://foges.github.io/pogs/stp/r>.
Suggests: knitr, rmarkdown
NeedsCompilation: no
Packaged: 2021-06-17 15:42:24 UTC; yige
Author: Jose R. Zubizarreta [aut, cre], Yige Li [aut], Amine Allouah [ctb], Noah Greifer [ctb]
Repository: CRAN
Date/Publication: 2021-06-18 08:10:01 UTC

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Package rmapzen updated to version 0.4.3 with previous version 0.4.2 dated 2019-08-19

Title: Client for 'Mapzen' and Related Map APIs
Description: Provides an interface to 'Mapzen'-based APIs (including geocode.earth, Nextzen, and NYC GeoSearch) for geographic search and geocoding, isochrone calculation, and vector data to draw map tiles. See <https://www.mapzen.com/documentation/> for more information. The original Mapzen has gone out of business, but 'rmapzen' can be set up to work with any provider who implements the Mapzen API.
Author: Tarak Shah [aut, cre], Daniel Possenriede [ctb]
Maintainer: Tarak Shah <tarak.shah@gmail.com>

Diff between rmapzen versions 0.4.2 dated 2019-08-19 and 0.4.3 dated 2021-06-18

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New package RFpredInterval with initial version 1.0.1
Package: RFpredInterval
Title: Prediction Intervals with Random Forests and Boosted Forests
Version: 1.0.1
Authors@R: c(person(given = "Cansu", family = "Alakus", role = c("aut", "cre"), email = "cansu.alakus@hec.ca"), person(given = "Denis", family = "Larocque", role = c("aut"), email = "denis.larocque@hec.ca"), person(given = "Aurelie", family = "Labbe", role = c("aut"), email = "aurelie.labbe@hec.ca"), person(given = "Hemant", family = "Ishwaran", role = c("ctb"), comment = "Author of included randomForestSRC codes"), person(given = "Udaya B.", family = "Kogalur", role = c("ctb"), comment = "Author of included randomForestSRC codes"))
Description: Implements various prediction interval methods with random forests and boosted forests. The package has two main functions: pibf() produces prediction intervals with boosted forests (PIBF) as described in Alakus et al. (2021) <arXiv:2106.08217> and rfpi() builds 15 distinct variations of prediction intervals with random forests (RFPI) proposed by Roy and Larocque (2020) <doi:10.1177/0962280219829885>.
Depends: R (>= 3.6.0)
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Imports: ranger, data.table, hdrcde, parallel, data.tree, DiagrammeR
Suggests: knitr, rmarkdown, testthat
URL: https://github.com/calakus/RFpredInterval
BugReports: https://github.com/calakus/RFpredInterval/issues
NeedsCompilation: yes
Packaged: 2021-06-17 16:05:44 UTC; cansualakus
Author: Cansu Alakus [aut, cre], Denis Larocque [aut], Aurelie Labbe [aut], Hemant Ishwaran [ctb] (Author of included randomForestSRC codes), Udaya B. Kogalur [ctb] (Author of included randomForestSRC codes)
Maintainer: Cansu Alakus <cansu.alakus@hec.ca>
Repository: CRAN
Date/Publication: 2021-06-18 08:20:02 UTC

More information about RFpredInterval at CRAN
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Package plotly updated to version 4.9.4.1 with previous version 4.9.4 dated 2021-06-08

Title: Create Interactive Web Graphics via 'plotly.js'
Description: Create interactive web graphics from 'ggplot2' graphs and/or a custom interface to the (MIT-licensed) JavaScript library 'plotly.js' inspired by the grammar of graphics.
Author: Carson Sievert [aut, cre] (<https://orcid.org/0000-0002-4958-2844>), Chris Parmer [aut], Toby Hocking [aut], Scott Chamberlain [aut], Karthik Ram [aut], Marianne Corvellec [aut] (<https://orcid.org/0000-0002-1994-3581>), Pedro Despouy [aut], Salim Brüggemann [ctb] (<https://orcid.org/0000-0002-5329-5987>), Plotly Technologies Inc. [cph]
Maintainer: Carson Sievert <cpsievert1@gmail.com>

Diff between plotly versions 4.9.4 dated 2021-06-08 and 4.9.4.1 dated 2021-06-18

 plotly-4.9.4.1/plotly/DESCRIPTION                                                 |   12 
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 plotly-4.9.4.1/plotly/NEWS.md                                                     |    8 
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More information about plotly at CRAN
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Package paths updated to version 0.1.1 with previous version 0.1.0 dated 2020-05-06

Title: An Imputation Approach to Estimating Path-Specific Causal Effects
Description: In causal mediation analysis with multiple causally ordered mediators, a set of path-specific effects are identified under standard ignorability assumptions. This package implements an imputation approach to estimating these effects along with a set of bias formulas for conducting sensitivity analysis (Zhou and Yamamoto <doi:10.31235/osf.io/2rx6p>). It contains two main functions: paths() for estimating path-specific effects and sens() for conducting sensitivity analysis. Estimation uncertainty is quantified using the nonparametric bootstrap.
Author: Minh Trinh [cre], Teppei Yamamoto [aut], Xiang Zhou [aut]
Maintainer: Minh Trinh <mdtrinh@mit.edu>

Diff between paths versions 0.1.0 dated 2020-05-06 and 0.1.1 dated 2021-06-18

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More information about paths at CRAN
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Package MachineShop updated to version 2.9.0 with previous version 2.8.0 dated 2021-04-16

Title: Machine Learning Models and Tools
Description: Meta-package for statistical and machine learning with a unified interface for model fitting, prediction, performance assessment, and presentation of results. Approaches for model fitting and prediction of numerical, categorical, or censored time-to-event outcomes include traditional regression models, regularization methods, tree-based methods, support vector machines, neural networks, ensembles, data preprocessing, filtering, and model tuning and selection. Performance metrics are provided for model assessment and can be estimated with independent test sets, split sampling, cross-validation, or bootstrap resampling. Resample estimation can be executed in parallel for faster processing and nested in cases of model tuning and selection. Modeling results can be summarized with descriptive statistics; calibration curves; variable importance; partial dependence plots; confusion matrices; and ROC, lift, and other performance curves.
Author: Brian J Smith [aut, cre]
Maintainer: Brian J Smith <brian-j-smith@uiowa.edu>

Diff between MachineShop versions 2.8.0 dated 2021-04-16 and 2.9.0 dated 2021-06-18

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Package gpboost updated to version 0.6.3 with previous version 0.6.1 dated 2021-05-25

Title: Combining Tree-Boosting with Gaussian Process and Mixed Effects Models
Description: An R package that allows for combining tree-boosting with Gaussian process and mixed effects models. It also allows for independently doing tree-boosting as well as inference and prediction for Gaussian process and mixed effects models. See <https://github.com/fabsig/GPBoost> for more information on the software and Sigrist (2020) <arXiv:2004.02653> and Sigrist (2021) <arXiv:2105.08966> for more information on the methodology.
Author: Fabio Sigrist [aut, cre], Benoit Jacob [cph], Gael Guennebaud [cph], Nicolas Carre [cph], Pierre Zoppitelli [cph], Gauthier Brun [cph], Jean Ceccato [cph], Jitse Niesen [cph], Other authors of Eigen for the included version of Eigen [ctb, cph], Timothy A. Davis [cph], Guolin Ke [ctb], Damien Soukhavong [ctb], James Lamb [ctb], Other authors of LightGBM for the included version of LightGBM [ctb], Microsoft Corporation [cph], Dropbox, Inc. [cph], Jay Loden [cph], Dave Daeschler [cph], Giampaolo Rodola [cph], Alberto Ferreira [ctb], Daniel Lemire [ctb], Victor Zverovich [cph], IBM Corporation [ctb], Keith O'Hara [cph]
Maintainer: Fabio Sigrist <fabiosigrist@gmail.com>

Diff between gpboost versions 0.6.1 dated 2021-05-25 and 0.6.3 dated 2021-06-18

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 gpboost-0.6.3/gpboost/R/GPModel.R                                                     |   23 
 gpboost-0.6.3/gpboost/R/callback.R                                                    |    8 
 gpboost-0.6.3/gpboost/R/gpb.Booster.R                                                 |   30 
 gpboost-0.6.3/gpboost/R/gpb.Dataset.R                                                 |   19 
 gpboost-0.6.3/gpboost/R/gpb.Predictor.R                                               |    6 
 gpboost-0.6.3/gpboost/R/gpb.cv.R                                                      |   12 
 gpboost-0.6.3/gpboost/R/gpb.train.R                                                   |    2 
 gpboost-0.6.3/gpboost/R/utils.R                                                       |   32 
 gpboost-0.6.3/gpboost/configure.ac                                                    |    2 
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 gpboost-0.6.3/gpboost/man/gpb.cv.Rd                                                   |    3 
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New package ICvectorfields with initial version 0.0.1
Package: ICvectorfields
Title: Vector Fields from Spatial Time Series of Population Abundance
Version: 0.0.1
Authors@R: person(given = "Devin", family = "Goodsman", role = c("aut", "cre"), email = "goodsman@ualberta.ca", comment = c(ORCID = "https://orcid.org/0000-0003-1935-5779"))
Description: Functions for converting time series of spatial abundance or density data in raster format to vector fields of population movement using the digital image correlation technique. More specifically, the functions in the package compute cross-covariance using discrete fast Fourier transforms for computational efficiency. Vectors in vector fields point in the direction of highest two dimensional cross-covariance. The package has a novel implementation of the digital image correlation algorithm that is designed to detect persistent directional movement when image time series extend beyond a sequence of two raster images.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Suggests: ggnewscale, ggplot2, knitr, metR, ncf, rmarkdown, testthat (>= 3.0.0)
Imports: fftw, fftwtools, terra
Depends: R (>= 2.10)
VignetteBuilder: knitr
BugReports: https://github.com/goodsman/ICvectorfields/issues
NeedsCompilation: no
Packaged: 2021-06-17 17:20:44 UTC; goods
Author: Devin Goodsman [aut, cre] (<https://orcid.org/0000-0003-1935-5779>)
Maintainer: Devin Goodsman <goodsman@ualberta.ca>
Repository: CRAN
Date/Publication: 2021-06-18 08:30:05 UTC

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New package exdqlm with initial version 0.1.1
Package: exdqlm
Title: Extended Dynamic Quantile Linear Models
Version: 0.1.1
Authors@R: c(person(given = "Raquel", family = "Barata", role = c("aut", "cre"), email = "raquel.a.barata@gmail.com"), person(given = "Raquel", family = "Prado", role = "ths"), person(given = "Bruno", family = "Sanso", role = "ths"))
Author: Raquel Barata [aut, cre], Raquel Prado [ths], Bruno Sanso [ths]
Maintainer: Raquel Barata <raquel.a.barata@gmail.com>
Description: Routines for Bayesian estimation and analysis of dynamic quantile linear models utilizing the extended asymmetric Laplace error distribution, also known as extended dynamic quantile linear models (exDQLM) described in Barata et al (2020) <https://www.soe.ucsc.edu/research/technical-reports/UCSC-SOE-20-14>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10)
Imports: stats, methods, graphics, dlm, coda, tictoc, magic, crch, truncnorm, HyperbolicDist, GeneralizedHyperbolic, brms, FNN, LaplacesDemon, grDevices
NeedsCompilation: no
Packaged: 2021-06-17 14:37:53 UTC; Ronnee
Repository: CRAN
Date/Publication: 2021-06-18 08:10:04 UTC

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Package dialrjars updated to version 8.12.25 with previous version 8.12.24 dated 2021-05-31

Title: Required 'libphonenumber' jars for the 'dialr' Package
Description: Collects 'libphonenumber' jars required for the 'dialr' package.
Author: Danny Smith [aut, cre], Google Inc. [ctb, cph] (libphonenumber), Vonage Holdings Corp. [ctb, cph] (libphonenumber), Ian Galpin [ctb, cph] (libphonenumber), Ben Gertzfield [ctb, cph] (libphonenumber)
Maintainer: Danny Smith <danny@gorcha.org>

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Package DHS.rates updated to version 0.9.0 with previous version 0.8.0 dated 2020-10-11

Title: Calculates Demographic Indicators
Description: Calculates key indicators such as fertility rates (Total Fertility Rate (TFR), General Fertility Rate (GFR), and Age Specific Fertility Rate (ASFR)) using Demographic and Health Survey (DHS) women/individual data, childhood mortality probabilities and rates such as Neonatal Mortality Rate (NNMR), Post-neonatal Mortality Rate (PNNMR), Infant Mortality Rate (IMR), Child Mortality Rate (CMR), and Under-five Mortality Rate (U5MR), and adult mortality indicators such as the Age Specific Mortality Rate (ASMR), Age Adjusted Mortality Rate (AAMR), Age Specific Maternal Mortality Rate (ASMMR), Age Adjusted Maternal Mortality Rate (AAMMR), Age Specific Pregnancy Related Mortality Rate (ASPRMR), Age Adjusted Pregnancy Related Mortality Rate (AAPRMR), Maternal Mortality Ratio (MMR) and Pregnancy Related Mortality Ratio (PRMR). In addition to the indicators, the 'DHS.rates' package estimates sampling errors indicators such as Standard Error (SE), Design Effect (DEFT), Relative Standard Error (RSE) and Confidence Interval (CI). The package is developed according to the DHS methodology of calculating the fertility indicators and the childhood mortality rates outlined in the "Guide to DHS Statistics" (Croft, Trevor N., Aileen M. J. Marshall, Courtney K. Allen, et al. 2018, <https://dhsprogram.com/Data/Guide-to-DHS-Statistics/index.cfm>) and the DHS methodology of estimating the sampling errors indicators outlined in the "DHS Sampling and Household Listing Manual" (ICF International 2012, <https://dhsprogram.com/pubs/pdf/DHSM4/DHS6_Sampling_Manual_Sept2012_DHSM4.pdf>).
Author: Mahmoud Elkasabi
Maintainer: Mahmoud Elkasabi <mahmoud.elkasabi@icf.com>

Diff between DHS.rates versions 0.8.0 dated 2020-10-11 and 0.9.0 dated 2021-06-18

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New package UnitStat with initial version 1.1.0
Package: UnitStat
Title: Performs Unit Root Test Statistics
Version: 1.1.0
Authors@R: person(given = "Ankita", family = "Sharma", role = c("aut", "cre"), email = "ankita.sh49@gmail.com")
Description: A test to understand the stability of the underlying stochastic data. Helps the user’s understand whether the random variable under consideration is stationary or non-stationary without any manual interpretation of the results. It further ensures to check all the prerequisites and assumptions which are underlying the unit root test statistics and if the underlying data is found to be non-stationary in all the 4 lags the function diagnoses the input data and returns with an optimised solution on the same.
License: GPL-3
Encoding: UTF-8
Depends: lmtest
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-06-17 09:16:58 UTC; Ankita
Author: Ankita Sharma [aut, cre]
Maintainer: Ankita Sharma <ankita.sh49@gmail.com>
Repository: CRAN
Date/Publication: 2021-06-18 08:00:02 UTC

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Package raster updated to version 3.4-13 with previous version 3.4-10 dated 2021-05-03

Title: Geographic Data Analysis and Modeling
Description: Reading, writing, manipulating, analyzing and modeling of spatial data. The package implements basic and high-level functions for raster data and for vector data operations such as intersections. See the manual and tutorials on <https://rspatial.org/> to get started.
Author: Robert J. Hijmans [cre, aut] (<https://orcid.org/0000-0001-5872-2872>), Jacob van Etten [ctb], Michael Sumner [ctb], Joe Cheng [ctb], Dan Baston [ctb], Andrew Bevan [ctb], Roger Bivand [ctb], Lorenzo Busetto [ctb], Mort Canty [ctb], Ben Fasoli [ctb], David Forrest [ctb], Aniruddha Ghosh [ctb], Duncan Golicher [ctb], Josh Gray [ctb], Jonathan A. Greenberg [ctb], Paul Hiemstra [ctb], Kassel Hingee [ctb], Institute for Mathematics Applied Geosciences [cph], Charles Karney [ctb], Matteo Mattiuzzi [ctb], Steven Mosher [ctb], Babak Naimi [ctb], Jakub Nowosad [ctb], Edzer Pebesma [ctb], Oscar Perpinan Lamigueiro [ctb], Etienne B. Racine [ctb], Barry Rowlingson [ctb], Ashton Shortridge [ctb], Bill Venables [ctb], Rafael Wueest [ctb]
Maintainer: Robert J. Hijmans <r.hijmans@gmail.com>

Diff between raster versions 3.4-10 dated 2021-05-03 and 3.4-13 dated 2021-06-18

 DESCRIPTION             |   13 +++----
 MD5                     |   40 +++++++++++-----------
 R/AAgeneric_functions.R |    2 +
 R/as.character.R        |    4 +-
 R/extend.R              |    4 +-
 R/extractPolygons.R     |   86 ++++++++++++++++++++++++++++++++++++------------
 R/hillShade.R           |    1 
 R/netCDFtoRasterCD.R    |    7 ++-
 R/plotRGB.R             |   13 +++----
 build/partial.rdb       |binary
 man/Rcpp-classes.Rd     |    2 -
 man/autocor.Rd          |    2 -
 man/calc.Rd             |    2 -
 man/extend.Rd           |    3 +
 man/extract.Rd          |    7 ++-
 man/hillShade.Rd        |    2 -
 man/predict.Rd          |    3 -
 man/projectRaster.Rd    |    3 -
 man/spEasy.Rd           |    2 -
 man/terrain.Rd          |    2 -
 man/writeRaster.Rd      |    1 
 21 files changed, 123 insertions(+), 76 deletions(-)

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Package powerEQTL updated to version 0.3.3 with previous version 0.3.1 dated 2021-05-22

Title: Power and Sample Size Calculation for Bulk Tissue and Single-Cell eQTL Analysis
Description: Power and sample size calculation for bulk tissue and single-cell eQTL analysis based on ANOVA, simple linear regression, or linear mixed effects model. It can also calculate power/sample size for testing the association of a SNP to a continuous type phenotype. Please see the reference: Dong X, Li X, Chang T-W, Scherzer CR, Weiss ST, Qiu W. (2021) <doi:10.1093/bioinformatics/btab385>.
Author: Xianjun Dong [aut, ctb], Xiaoqi Li [aut, ctb], Tzuu-Wang Chang [aut, ctb], Scott T. Weiss [aut, ctb], Weiliang Qiu [aut, cre]
Maintainer: Weiliang Qiu <weiliang.qiu@gmail.com>

Diff between powerEQTL versions 0.3.1 dated 2021-05-22 and 0.3.3 dated 2021-06-18

 DESCRIPTION                   |   11 +--
 MD5                           |   10 +--
 NAMESPACE                     |   68 +++++++++++-----------
 NEWS                          |    7 ++
 R/powerEQTL.scRNAseq.sim.R    |  129 ++++++++++++++++++++++--------------------
 man/powerEQTL.scRNAseq.sim.Rd |    3 
 6 files changed, 123 insertions(+), 105 deletions(-)

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New package MultSurvTests with initial version 0.2
Package: MultSurvTests
Title: Permutation Tests for Multivariate Survival Analysis
Version: 0.2
Authors@R: c(person(given = "Lukas", family = "Arnroth", role = c("aut", "cre"), email = "lukas.arnroth@gmail.com"), person(given = "Måns", family = "Thulin", role = "aut", email = "mans@statistikkonsult.com"))
Description: Multivariate version of the two-sample Gehan and logrank tests, as described in L.J Wei & J.M Lachin (1984) and Persson et al. (2019).
Encoding: UTF-8
LazyData: true
Imports: Rcpp (>= 0.12.9), Rdpack
LinkingTo: Rcpp, RcppArmadillo
RdMacros: Rdpack
URL: https://github.com/lukketotte/MultSurvTests
BugReports: https://github.com/lukketotte/MultSurvTests/issues
Depends: R (>= 2.10)
License: MIT + file LICENSE
NeedsCompilation: yes
Packaged: 2021-06-17 05:44:30 UTC; mans
Author: Lukas Arnroth [aut, cre], Måns Thulin [aut]
Maintainer: Lukas Arnroth <lukas.arnroth@gmail.com>
Repository: CRAN
Date/Publication: 2021-06-18 07:50:02 UTC

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