Thu, 25 Jun 2020

Package RcppCWB updated to version 0.2.10 with previous version 0.2.9 dated 2020-06-25

Title: 'Rcpp' Bindings for the 'Corpus Workbench' ('CWB')
Description: 'Rcpp' Bindings for the C code of the 'Corpus Workbench' ('CWB'), an indexing and query engine to efficiently analyze large corpora (<http://cwb.sourceforge.net>). 'RcppCWB' is licensed under the GNU GPL-3, in line with the GPL-3 license of the 'CWB' (<https://www.r-project.org/Licenses/GPL-3>). The 'CWB' relies on 'pcre' (BSD license, see <https://www.pcre.org/licence.txt>) and 'GLib' (LGPL license, see <https://www.gnu.org/licenses/lgpl-3.0.en.html>). See the file LICENSE.note for further information. The package includes modified code of the 'rcqp' package (GPL-2, see <https://cran.r-project.org/package=rcqp>). The original work of the authors of the 'rcqp' package is acknowledged with great respect, and they are listed as authors of this package. To achieve cross-platform portability (including Windows), using 'Rcpp' for wrapper code is the approach used by 'RcppCWB'.
Author: Andreas Blaette [aut, cre], Bernard Desgraupes [aut], Sylvain Loiseau [aut], Oliver Christ [ctb], Bruno Maximilian Schulze [ctb], Stefan Evert [ctb], Arne Fitschen [ctb], Jeroen Ooms [ctb]
Maintainer: Andreas Blaette <andreas.blaette@uni-due.de>

Diff between RcppCWB versions 0.2.9 dated 2020-06-25 and 0.2.10 dated 2020-06-25

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Package OBsMD updated to version 6.1 with previous version 6.0 dated 2020-06-24

Title: Objective Bayesian Model Discrimination in Follow-Up Designs
Description: Implements the objective Bayesian methodology proposed in Consonni and Deldossi in order to choose the optimal experiment that better discriminate between competing models, see Deldossi and Nai Ruscone (2020) <doi:10.18637/jss.v094.i02>.
Author: Marta Nai Ruscone [aut, cre], Laura Deldossi [aut], Cleve Moler [ctb] (LINPACK routines in src), Jack Dongarra [ctb] (LINPACK routines in src)
Maintainer: Marta Nai Ruscone <marta.nairuscone@unige.it>

Diff between OBsMD versions 6.0 dated 2020-06-24 and 6.1 dated 2020-06-25

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Package missingHE updated to version 1.4.1 with previous version 1.4.0 dated 2020-04-29

Title: Missing Outcome Data in Health Economic Evaluation
Description: Contains a suite of functions for health economic evaluations with missing outcome data. The package can fit different types of statistical models under a fully Bayesian approach using the software 'JAGS' (which should be installed locally and which is loaded in 'missingHE' via the 'R' package 'R2jags'). Three classes of models can be fitted under a variety of missing data assumptions: selection models, pattern mixture models and hurdle models. In addition to model fitting, 'missingHE' provides a set of specialised functions to assess model convergence and fit, and to summarise the statistical and economic results using different types of measures and graphs. The methods implemented are described in Mason (2018) <doi:10.1002/hec.3793>, Molenberghs (2000) <doi:10.1007/978-1-4419-0300-6_18> and Gabrio (2019) <doi:10.1002/sim.8045>.
Author: Andrea Gabrio [aut, cre]
Maintainer: Andrea Gabrio <ucakgab@ucl.ac.uk>

Diff between missingHE versions 1.4.0 dated 2020-04-29 and 1.4.1 dated 2020-06-25

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Package dcov updated to version 0.1.1 with previous version 0.1.0 dated 2020-06-24

Title: A Fast Implementation of Distance Covariance
Description: Efficient methods for computing distance covariance and relevant statistics. See Székely et al.(2007) <doi:10.1214/009053607000000505>; Székely and Rizzo (2013) <doi:10.1016/j.jmva.2013.02.012>; Székely and Rizzo (2014) <doi:10.1214/14-AOS1255>; Huo and Székely (2016) <doi:10.1080/00401706.2015.1054435>.
Author: Hang Weiqiang <e0010758@u.nus.edu>
Maintainer: Hang Weiqiang <e0010758@u.nus.edu>

Diff between dcov versions 0.1.0 dated 2020-06-24 and 0.1.1 dated 2020-06-25

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New package datasailr with initial version 0.8.4
Package: datasailr
Type: Package
Title: Fast Row by Row Data Processing Tool, Using 'Sailr' Script
Version: 0.8.4
Date: 2020-06-24
Maintainer: Toshihiro Umehara <toshi@niceume.com>
Authors@R: c(person(given = "Toshihiro", family = "Umehara", role = c("aut", "cre"), email = "toshi@niceume.com"), person(given = "Troy", family = "Hanson", role = c("cph", "ctb"), comment = "uthash"), person(given = "Howard", family = "Hinnant", role = c("cph", "ctb"), comment = "date.h"), person(given = "Adrian", family = "Colomitchi", role = c("cph", "ctb"), comment = "date.h"), person(given = "Florian", family = "Dang", role = c("cph", "ctb"), comment = "date.h"), person(given = "Paul", family = "Thompson", role = c("cph", "ctb"), comment = "date.h"), person(given = "Tomasz", family = "Kamiński", role = c("cph", "ctb"), comment = "date.h"), person(given = "Nemanja", family = "Trifunovic", role = c("cph", "ctb"), comment = "utfcpp"), person(given = "Kim", family = "Grasman", role = c("cph", "ctb"), comment = "getopt_port"), person(given = "Jon", family = "Clayden", role = c("cph", "ctb"), comment = "ore package"), person(given = "K.Kosako", role = c("cph", "ctb"), comment = "onigmo author"), person(given = "K.Takata", role = c("cph", "ctb"), comment = "onigmo author"), person(given = "Byte", role = c("cph", "ctb"), comment = "onigmo contributor"), person(given = "KUBO", family = "Takehiro", role = c("cph", "ctb"), comment = "onigmo contributor"), person(given = "Free Software Foundation, Inc", role = "cph"), person(given = "X Consortium", role = "cph"))
Description: A fast row by row data processing tool. You can write data processing code in 'Sailr' scripting language which is specially intended for data manipulation. The package uses 'libsailr' (C/C++ library) for its 'Sailr' code parsing and its execution.
Encoding: UTF-8
License: GPL (>= 3)
Biarch: true
Imports: Rcpp (>= 0.12.18)
Suggests: RUnit
LinkingTo: Rcpp
SystemRequirements: GNU make, C++11
NeedsCompilation: yes
Packaged: 2020-06-24 15:00:15 UTC; toshihiro
Author: Toshihiro Umehara [aut, cre], Troy Hanson [cph, ctb] (uthash), Howard Hinnant [cph, ctb] (date.h), Adrian Colomitchi [cph, ctb] (date.h), Florian Dang [cph, ctb] (date.h), Paul Thompson [cph, ctb] (date.h), Tomasz Kamiński [cph, ctb] (date.h), Nemanja Trifunovic [cph, ctb] (utfcpp), Kim Grasman [cph, ctb] (getopt_port), Jon Clayden [cph, ctb] (ore package), K.Kosako [cph, ctb] (onigmo author), K.Takata [cph, ctb] (onigmo author), Byte [cph, ctb] (onigmo contributor), KUBO Takehiro [cph, ctb] (onigmo contributor), Free Software Foundation, Inc [cph], X Consortium [cph]
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2020-06-25 21:40:07 UTC

More information about datasailr at CRAN
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Package nlist updated to version 0.2.0 with previous version 0.1.1 dated 2020-06-18

Title: Lists of Numeric Atomic Objects
Description: Create and manipulate numeric list ('nlist') objects. An 'nlist' is an S3 list of uniquely named numeric objects. An numeric object is an integer or double vector, matrix or array. An 'nlists' object is a S3 class list of 'nlist' objects with the same names, dimensionalities and typeofs. Numeric list objects are of interest because they are the raw data inputs for analytic engines such as 'JAGS', 'STAN' and 'TMB'. Numeric lists objects, which are useful for storing multiple realizations of of simulated data sets, can be converted to coda::mcmc and coda::mcmc.list objects.
Author: Joe Thorley [aut, cre] (<https://orcid.org/0000-0002-7683-4592>), Poisson Consulting [cph, fnd]
Maintainer: Joe Thorley <joe@poissonconsulting.ca>

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Package goft updated to version 1.3.6 with previous version 1.3.4 dated 2017-11-06

Title: Tests of Fit for some Probability Distributions
Description: Goodness-of-fit tests for skew-normal, gamma, inverse Gaussian, log-normal, 'Weibull', 'Frechet', Gumbel, normal, multivariate normal, Cauchy, Laplace or double exponential, exponential and generalized Pareto distributions. Parameter estimators for gamma, inverse Gaussian and generalized Pareto distributions.
Author: Elizabeth Gonzalez-Estrada, Jose A. Villasenor-Alva
Maintainer: Elizabeth Gonzalez-Estrada <egonzalez@colpos.mx>

Diff between goft versions 1.3.4 dated 2017-11-06 and 1.3.6 dated 2020-06-25

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Package shinybrms updated to version 1.2.1 with previous version 1.1.0 dated 2020-06-09

Title: Graphical User Interface (Shiny App) for Package 'brms'
Description: A graphical user interface (GUI) for the package 'brms' which allows to fit Bayesian regression models using 'Stan' (<https://mc-stan.org/>) (more specifically, using its R interface, the package 'rstan'). The 'shinybrms' GUI is a 'Shiny' (<https://shiny.rstudio.com/>) app, i.e. it was created using the package 'shiny'.
Author: Frank Weber [aut, cre] (<https://orcid.org/0000-0002-4842-7922>)
Maintainer: Frank Weber <fweber144@protonmail.com>

Diff between shinybrms versions 1.1.0 dated 2020-06-09 and 1.2.1 dated 2020-06-25

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New package tidySEM with initial version 0.1.2
Package: tidySEM
Type: Package
Date: 2020-06-24
Title: Tidy Structural Equation Modeling
Version: 0.1.2
Authors@R: c(person(given = c("Caspar", "J."), family = "van Lissa", role = c("aut", "cre"), email = "c.j.vanlissa@uu.nl", comment = c(ORCID = "0000-0002-0808-5024")))
Description: A tidy workflow for generating, estimating, reporting, and plotting structural equation models using 'lavaan' or 'Mplus'. Throughout this workflow, elements of syntax, results, and graphs are represented as 'tidy' data, making them easy to customize.
License: GPL (>= 3)
URL: https://cjvanlissa.github.io/tidySEM
BugReports: https://github.com/cjvanlissa/tidySEM/issues
Depends: R (>= 3.2.0), stats, utils
Imports: ggplot2, lavaan, MplusAutomation, igraph, psych
Suggests: testthat, knitr, rmarkdown, dplyr, stringr, covr
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: yes
RoxygenNote: 7.1.0
NeedsCompilation: no
Packaged: 2020-06-24 14:45:43 UTC; Lissa102
Author: Caspar J. van Lissa [aut, cre] (<https://orcid.org/0000-0002-0808-5024>)
Maintainer: Caspar J. van Lissa <c.j.vanlissa@uu.nl>
Repository: CRAN
Date/Publication: 2020-06-25 16:40:02 UTC

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New package scUtils with initial version 0.1.0
Package: scUtils
Type: Package
Title: Utility Functions for Single-Cell RNA Sequencing Data
Version: 0.1.0
Authors@R: c( person("Felix", "Frauhammer", email = "felixwertek@gmail.com", role = c("aut", "cre")), person("Simon", "Anders", email = "s.anders@zmbh.uni-heidelberg.de", role = c("ctb"), comment = "Simon Anders wrote the colVars_spm function.") )
Description: Analysis of single-cell RNA sequencing data can be simple and clear with the right utility functions. This package collects such functions, aiming to fulfill the following criteria: code clarity over performance (i.e. plain R code instead of C code), most important analysis steps over completeness (analysis 'by hand', not automated integration etc.), emphasis on quantitative visualization (intensity-coded color scale, etc.).
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
Imports: ggplot2, Matrix, scales, assertthat, dplyr, viridis, viridisLite, methods
Suggests: testthat, tibble
NeedsCompilation: no
Packaged: 2020-06-23 10:03:01 UTC; felix
Author: Felix Frauhammer [aut, cre], Simon Anders [ctb] (Simon Anders wrote the colVars_spm function.)
Maintainer: Felix Frauhammer <felixwertek@gmail.com>
Repository: CRAN
Date/Publication: 2020-06-25 16:20:02 UTC

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New package Rfractran with initial version 1.0
Package: Rfractran
Type: Package
Title: A 'FRACTRAN' Interpreter and Some Helper Functions
Version: 1.0
Date: 2020-06-09
Author: Carl Witthoft
Maintainer: Carl Witthoft <carl@witthoft.com>
Depends: gmp
Description: 'FRACTRAN' is an obscure yet tantalizing programming language invented by John Conway of 'Game of Life' fame. The code consists of a sequence of fractions. The rules are simple. First, select an integer to initialize the process. Second, multiply the integer by the first fraction. If an integer results, start again with the new integer. If not, try the next fraction. Finally, if no such multiplication yields an integer, terminate the program. For more information, see <https://en.wikipedia.org/wiki/FRACTRAN> .
License: LGPL-3
NeedsCompilation: no
Packaged: 2020-06-24 00:56:29 UTC; cgw
Repository: CRAN
Date/Publication: 2020-06-25 16:20:11 UTC

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Package PHEindicatormethods updated to version 1.3.2 with previous version 1.3.1 dated 2020-04-14

Title: Common Public Health Statistics and their Confidence Intervals
Description: Functions to calculate commonly used public health statistics and their confidence intervals using methods approved for use in the production of Public Health England indicators such as those presented via Fingertips (<http://fingertips.phe.org.uk/>). It provides functions for the generation of proportions, crude rates, means, directly standardised rates, indirectly standardised rates, standardised mortality ratios, slope and relative index of inequality and life expectancy. Statistical methods are referenced in the following publications. Breslow NE, Day NE (1987) <doi:10.1002/sim.4780080614>. Dobson et al (1991) <doi:10.1002/sim.4780100317>. Armitage P, Berry G (2002) <doi:10.1002/9780470773666>. Wilson EB. (1927) <doi:10.1080/01621459.1927.10502953>. Altman DG et al (2000, ISBN: 978-0-727-91375-3). Chiang CL. (1968, ISBN: 978-0-882-75200-6). Newell C. (1994, ISBN: 978-0-898-62451-9). Eayres DP, Williams ES (2004) <doi:10.1136/jech.2003.009654>. Silcocks PBS et al (2001) <doi:10.1136/jech.55.1.38>. Low and Low (2004) <doi:10.1093/pubmed/fdh175>.
Author: Anderson Georgina [aut, cre], Fox Sebastian [ctb], Francis Matthew [ctb], Fryers Paul [ctb], Clegg Emma [ctb]
Maintainer: Anderson Georgina <georgina.anderson@phe.gov.uk>

Diff between PHEindicatormethods versions 1.3.1 dated 2020-04-14 and 1.3.2 dated 2020-06-25

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New package NBBttest with initial version 1.0.0
Package: NBBttest
Type: Package
Title: Negative Binomial Beta t-Test
Version: 1.0.0
Date: 2020-06-15
Suggests: BiocGenerics,DEXSeq
Author: Yuan-De Tan
Maintainer: Yuan-De Tan <tanyuande@gmail.com>
Description: We constructed 'NBBttest' for identifying genes or RNA isoforms differentially expressed between two conditions on RNA-seq count data. Package 'NBBttest' can perform data quality check, data normalization, differential analysis, annotation and graphic analysis. In differential analysis, 'NBBttest' can identify differentially expressed genes and differential RNA isoforms in alternative splicing sites and alternative polyadenylation sites, differential sgRNA, and differential CRISPR (clustered regularly interspaced short palindromic repeats) screening genes. In graphic analysis, 'NBBttest' provides two types of heatmaps to visualize differential expression at gene or isoform level using z-score and n-score and creates pathway heatmap. 'NBBttest' can plot differentially expressed exons within a specified gene. In addition, 'NBBttest' provides a tool for annotation of genes and exons. The methods used in 'NBBttest' were new statistical methods developed from Tan and others (2015) <doi:10.1371/journal.pone.0123658>. The statistical methods are robust and very powerful in identifying genes or RNA isoforms differentially expressed between two conditions in small samples.
License: GPL-3
Depends: R (>= 3.5.0),gplots,gtools,stats, utils,graphics,grDevices
LazyLoad: yes
biocViews: Sequencing, DifferentialExpression, MultipleComparison, SAGE, GeneExpression, Transcription, AlternativeSplicing,Coverage, DifferentialSplicing
NeedsCompilation: no
RoxygenNote: 6.1.1
Packaged: 2020-06-22 14:55:25 UTC; yuande
Repository: CRAN
Date/Publication: 2020-06-25 16:20:14 UTC

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New package midasml with initial version 0.0.1
Package: midasml
Type: Package
Title: Estimation and Prediction Methods for High-Dimensional Mixed Frequency Time Series Data
Version: 0.0.1
Authors@R: person("Jonas", "Striaukas", email = "jonas.striaukas@gmail.com", role = c("aut", "cre"))
Author: Jonas Striaukas [aut, cre]
Maintainer: Jonas Striaukas <jonas.striaukas@gmail.com>
Description: The 'midasml' estimation and prediction methods for high dimensional time series regression models under mixed data sampling data structures using structured-sparsity penalties and orthogonal polynomials. For more information on the 'midasml' approach see Babii, Ghysels, and Striaukas (2020) <arXiv:2005.14057>. Functions that compute MIDAS data structures were inspired by MIDAS 'Matlab' toolbox (v2.3) written by Eric Ghysels.
BugReports: https://github.com/jstriaukas/midasml/issues
License: GPL (>= 2)
Depends: foreach (>= 1.4.4)
Imports: Rcpp (>= 1.0.3), lubridate (>= 1.7.4), parallel (>= 3.5.2), doSNOW (>= 1.0.18), stats (>= 3.5.2), optimx (>= 2020-4.2), quantreg (>= 5.34)
LinkingTo: Rcpp, RcppArmadillo
Encoding: UTF-8
RoxygenNote: 7.1.0
NeedsCompilation: yes
Packaged: 2020-06-25 12:14:16 UTC; striaukas
Repository: CRAN
Date/Publication: 2020-06-25 16:10:02 UTC

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Package gremlin updated to version 1.0.1 with previous version 0.1.0.1 dated 2019-04-09

Title: Mixed-Effects REML Incorporating Generalized Inverses
Description: Fit linear mixed-effects models using restricted (or residual) maximum likelihood (REML) and with generalized inverse matrices to specify covariance structures for random effects. In particular, the package is suited to fit quantitative genetic mixed models, often referred to as 'animal models'. Implements the average information algorithm as the main tool to maximize the restricted log-likelihood, but with other algorithms available.
Author: Matthew Wolak [cre, aut] (<https://orcid.org/0000-0002-7962-0071>)
Maintainer: Matthew Wolak <matthewwolak@gmail.com>

Diff between gremlin versions 0.1.0.1 dated 2019-04-09 and 1.0.1 dated 2020-06-25

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Package edbuildr updated to version 0.2.1 with previous version 0.2.0 dated 2020-06-16

Title: Automated School District Data Download and Processing
Description: Import the 'EdBuild' master dataset of school district finance, student demographics, and community economic indicators for every school district in the United States. The master dataset is built from the US Census, Annual Survey of School System Finances (F33) and joins data from the National Center for Education Statistics, Common Core of Data; the US Census, Small Area Income and Poverty Estimates; and the US Census, Education Demographic and Geographic Estimates. We apply 'EdBuild' standard processing to the dataset and provide the option to select from four different exclusion criteria - see the masterpull() help file for more details. The master dataset is available for any school year from 2013 to 2018 or longitudinally for all years 2013-2018. School year is identified by the end year. For example, the 2017-18 school year is 2018. Additional functions in the package use 'EdBuild' master data to analyze the difference between neighboring school districts and create formatted excel tables of school district data. For full details about 'EdBuild' data processing please see 'EdBuild' (2020) <http://data.edbuild.org>.
Author: Megan Brodzik [cre, aut], Cecilia Depman [aut], Sara Hodges [aut], Kailey Spencer [ctb]
Maintainer: Megan Brodzik <meganbrodzik@gmail.com>

Diff between edbuildr versions 0.2.0 dated 2020-06-16 and 0.2.1 dated 2020-06-25

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New package covid19dbcand with initial version 0.1.0
Package: covid19dbcand
Type: Package
Title: Selected 'Drugbank' Drugs for COVID-19 Treatment Related Data in R Format
Version: 0.1.0
Authors@R: c( person("Mohammed", "Ali", email = "moh_fcis@yahoo.com", role = c("aut", "cre")))
Depends: R (>= 3.1)
Maintainer: Mohammed Ali <moh_fcis@yahoo.com>
Description: Provides 75 different datasets parsed from 'Drugbank' <http://drugbank.ca/covid-19> database using 'dbparser' package. It is a smaller version from 'dbdataset' package. It contains only information about COVID-19 possible treatment.
License: CC0
Encoding: UTF-8
LazyData: true
URL: https://github.com/MohammedFCIS/covid19dbcand
BugReports: https://github.com/MohammedFCIS/covid19dbcand/issues
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
RoxygenNote: 7.1.0
NeedsCompilation: no
Packaged: 2020-06-22 15:26:06 UTC; Mohammed
Author: Mohammed Ali [aut, cre]
Repository: CRAN
Date/Publication: 2020-06-25 16:30:02 UTC

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Package compareGroups updated to version 4.4.3 with previous version 4.4.1 dated 2020-03-19

Title: Descriptive Analysis by Groups
Description: Create data summaries for quality control, extensive reports for exploring data, as well as publication-ready univariate or bivariate tables in several formats (plain text, HTML,LaTeX, PDF, Word or Excel. Create figures to quickly visualise the distribution of your data (boxplots, barplots, normality-plots, etc.). Display statistics (mean, median, frequencies, incidences, etc.). Perform the appropriate tests (t-test, Analysis of variance, Kruskal-Wallis, Fisher, log-rank, ...) depending on the nature of the described variable (normal, non-normal or qualitative). Summarize genetic data (Single Nucleotide Polymorphisms) data displaying Allele Frequencies and performing Hardy-Weinberg Equilibrium tests among other typical statistics and tests for these kind of data.
Author: Isaac Subirana [aut, cre] (<https://orcid.org/0000-0003-1676-0197>), Joan Salvador [ctb]
Maintainer: Isaac Subirana <isubirana@imim.es>

Diff between compareGroups versions 4.4.1 dated 2020-03-19 and 4.4.3 dated 2020-06-25

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Package starsExtra updated to version 0.1.0 with previous version 0.0.3 dated 2020-04-22

Title: Miscellaneous Functions for Working with 'stars' Rasters
Description: Miscellaneous functions for working with 'stars' objects, mainly single-band rasters. Currently includes functions for: (1) focal filtering, (2) detrending of Digital Elevation Models, (3) calculating flow length, (4) calculating the Convergence Index, (5) calculating topographic aspect and topographic slope.
Author: Michael Dorman [aut, cre]
Maintainer: Michael Dorman <dorman@post.bgu.ac.il>

Diff between starsExtra versions 0.0.3 dated 2020-04-22 and 0.1.0 dated 2020-06-25

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New package scrollrevealR with initial version 0.1.0
Package: scrollrevealR
Type: Package
Title: Animate 'shiny' Elements when They Scroll into View using the 'scrollrevealjs' Library
Version: 0.1.0
Authors@R: person(given = "Mohamed El Fodil Ihaddaden", family = "Ihaddaden", role = c("aut", "cre"), email = "ihaddaden.fodeil@gmail.com")
Description: Allows the user to animate 'shiny' elements when scrolling to view them. The animations are activated using the 'scrollrevealjs' library. See <https://scrollrevealjs.org/> for more information.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
URL: https://github.com/feddelegrand7/scrollrevealR
BugReports: https://github.com/feddelegrand7/scrollrevealR/issues
Imports: htmltools, glue
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
RoxygenNote: 7.1.0
NeedsCompilation: no
Packaged: 2020-06-22 10:14:44 UTC; THINKPAD L390
Author: Mohamed El Fodil Ihaddaden Ihaddaden [aut, cre]
Maintainer: Mohamed El Fodil Ihaddaden Ihaddaden <ihaddaden.fodeil@gmail.com>
Repository: CRAN
Date/Publication: 2020-06-25 16:00:02 UTC

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New package RMPSH with initial version 1.1.0
Package: RMPSH
Type: Package
Title: Recursive Modified Pattern Search on Hyper-Rectangle
Version: 1.1.0
Authors@R: c( person("Priyam","Das", ,"pdas@ncsu.edu" , role = c("cre", "aut")), person("Debsurya","De", ,"debsurya001@gmail.com", role = "aut") )
Depends: R (>= 3.5.0)
Imports: Rcpp
Collate: 'imports.R' 'RcppExports.R' 'RMPSolveH.R' 'RMPSH-package.R'
Maintainer: Priyam Das <pdas@ncsu.edu>
Description: Optimization of any Black-Box/Non-Convex Function on Hyper-Rectangular Parameter Space. It uses a Variation of Pattern Search Technique. Described in the paper : Das (2016) <arXiv:1604.08616> .
License: GPL-3
NeedsCompilation: yes
Encoding: UTF-8
LazyData: true
LinkingTo: Rcpp
RoxygenNote: 7.1.0
Packaged: 2020-06-22 10:14:17 UTC; Debsurya
Author: Priyam Das [cre, aut], Debsurya De [aut]
Repository: CRAN
Date/Publication: 2020-06-25 16:00:09 UTC

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Package RMixtComp updated to version 4.1.2 with previous version 4.1.0 dated 2020-01-07

Title: Mixture Models with Heterogeneous and (Partially) Missing Data
Description: Mixture Composer <https://github.com/modal-inria/MixtComp> is a project to build mixture models with heterogeneous data sets and partially missing data management. It includes 8 models for real, categorical, counting, functional and ranking data.
Author: Vincent Kubicki [aut], Christophe Biernacki [aut], Quentin Grimonprez [aut, cre], Matthieu Marbac-Lourdelle [ctb], Étienne Goffinet [ctb], Serge Iovleff [ctb]
Maintainer: Quentin Grimonprez <quentin.grimonprez@inria.fr>

Diff between RMixtComp versions 4.1.0 dated 2020-01-07 and 4.1.2 dated 2020-06-25

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Package RcppSimdJson updated to version 0.0.6 with previous version 0.0.5 dated 2020-05-23

Title: 'Rcpp' Bindings for the 'simdjson' Header-Only Library for 'JSON' Parsing
Description: The 'JSON' format is ubiquitous for data interchange, and the 'simdjson' library written by Daniel Lemire (and many contributors) provides a high-performance parser for these files which by relying on parallel 'SIMD' instruction manages to parse these files as faster than disk speed. See the <arXiv:1902.08318> paper for more details about 'simdjson'. This package is at present still a fairly thin and not fully complete wrapper that does not aim to replace the existing and excellent 'JSON' packages for R.
Author: Dirk Eddelbuettel, Brendan Knapp
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between RcppSimdJson versions 0.0.5 dated 2020-05-23 and 0.0.6 dated 2020-06-25

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Package OUwie updated to version 2.3 with previous version 2.2 dated 2020-06-15

Title: Analysis of Evolutionary Rates in an OU Framework
Description: Estimates rates for continuous character evolution under Brownian motion and a new set of Ornstein-Uhlenbeck based Hansen models that allow both the strength of the pull and stochastic motion to vary across selective regimes. Beaulieu et al (2012) <doi:10.1111/j.1558-5646.2012.01619.x>.
Author: Jeremy M. Beaulieu <jmbeauli@uark.edu>, Brian O'Meara <bomeara@utk.edu>
Maintainer: Jeremy Beaulieu <jmbeauli@uark.edu>

Diff between OUwie versions 2.2 dated 2020-06-15 and 2.3 dated 2020-06-25

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Package move updated to version 4.0.2 with previous version 4.0.0 dated 2020-06-03

Title: Visualizing and Analyzing Animal Track Data
Description: Contains functions to access movement data stored in 'movebank.org' as well as tools to visualize and statistically analyze animal movement data, among others functions to calculate dynamic Brownian Bridge Movement Models. Move helps addressing movement ecology questions.
Author: Bart Kranstauber [aut, cre], Marco Smolla [aut], Anne K Scharf [aut]
Maintainer: Bart Kranstauber <b.kranstauber@uva.nl>

Diff between move versions 4.0.0 dated 2020-06-03 and 4.0.2 dated 2020-06-25

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Package inventorize updated to version 1.0.4 with previous version 1.0.3 dated 2020-06-10

Title: Inventory Analytics and Cost Calculations
Description: Simulate inventory Policies, facilitate inventory analysis calculations such as stock levels and re-order points,pricing and promotions calculations. The package includes calculations of inventory metrics, stock-out calculations and ABC analysis calculations. The package includes revenue management techniques such as Multi-product optimization,logit model optimization. The functions are referenced from : 1-Harris, Ford W. (1913). "How many parts to make at once". Factory, The Magazine of Management. <isbn10: 135–136, 152>. 2- Nahmias, S. Production and Operations Analysis. McGraw-Hill International Edition. <isbn: 0-07- 2231265-3. Chapter 4>. 3-Silver, E.A., Pyke, D.F., Peterson, R. Inventory Management and Production Planning and Scheduling. <isbn: 978-0471119470>. 4-Ballou, R.H. Business Logistics Management. <isbn: 978-0130661845>. Chapter 9. 5-MIT Micromasters Program. 6- Columbia University course for supply and demand analysis. 8- Price Elasticity of Demand MATH 104,Mark Mac Lean (with assistance from Patrick Chan) 2011W For further details or correspondence :<www.linkedin.com/in/haythamomar>, <www.rescaleanalytics.com>.
Author: Haytham Omar [aut, cre]
Maintainer: Haytham Omar <haytham@rescaleanalytics.com>

Diff between inventorize versions 1.0.3 dated 2020-06-10 and 1.0.4 dated 2020-06-25

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Package ggPMX updated to version 1.1.2 with previous version 1.1.1 dated 2020-05-14

Title: 'ggplot2' Based Tool to Facilitate Diagnostic Plots for NLME Models
Description: At Novartis, we aimed at standardizing the set of diagnostic plots used for modeling activities in order to reduce the overall effort required for generating such plots. For this, we developed a guidance that proposes an adequate set of diagnostics and a toolbox, called 'ggPMX' to execute them. 'ggPMX' is a toolbox that can generate all diagnostic plots at a quality sufficient for publication and submissions using few lines of code.
Author: Amine Gassem [aut], Bruno Bieth [aut], Irina Baltcheva [aut], Thomas Dumortier [aut], Christian Bartels [aut], Souvik Bhattacharya [aut], Inga Ludwig [aut], Ines Paule [aut], Didier Renard [aut], Matthew Fidler [ctb, cre] (<https://orcid.org/0000-0001-8538-6691>), Qing Xi Ooi [ctr], Novartis Pharma AG [cph]
Maintainer: Matthew Fidler <matthew.fidler@gmail.com>

Diff between ggPMX versions 1.1.1 dated 2020-05-14 and 1.1.2 dated 2020-06-25

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New package codalm with initial version 0.1.0
Package: codalm
Type: Package
Title: Transformation-Free Linear Regression for Compositional Outcomes and Predictors
Version: 0.1.0
Authors@R: c(person(given = "Jacob", family = "Fiksel", role = c("aut", "cre"), email = "jfiksel@gmail.com", comment = c(ORCID = "0000-0001-7067-1334")), person(given = "Abhirup", family = "Datta", role = c("ctb"), email = "abhidatta@jhu.edu"))
Maintainer: Jacob Fiksel <jfiksel@gmail.com>
Description: Implements the expectation-maximization (EM) algorithm as described in Fiksel et al. (2020) <arXiv:2004.07881> for transformation-free linear regression for compositional outcomes and predictors.
License: GPL-2
biocViews:
Imports: SQUAREM (>= 2020.3), future, future.apply
Encoding: UTF-8
LazyData: true
URL: https://github.com/jfiksel/codalm
BugReports: https://github.com/jfiksel/codalm/issues
RoxygenNote: 7.1.0
Suggests: knitr, ggtern, gtools, remotes, testthat, markdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-06-25 15:09:04 UTC; jfiksel
Author: Jacob Fiksel [aut, cre] (<https://orcid.org/0000-0001-7067-1334>), Abhirup Datta [ctb]
Repository: CRAN
Date/Publication: 2020-06-25 16:00:06 UTC

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Package CATTexact updated to version 0.1.1 with previous version 0.1.0 dated 2017-09-15

Title: Computation of the p-Value for the Exact Conditional Cochran-Armitage Trend Test
Description: Provides functions for computing the one-sided p-values of the Cochran-Armitage trend test statistic for the asymptotic and the exact conditional test. The computation of the p-value for the exact test is performed using an algorithm following an idea by Mehta, et al. (1992) <doi:10.2307/1390598>.
Author: Dominic Edelmann [aut, cre]
Maintainer: Dominic Edelmann <dominic.edelmann@dkfz-heidelberg.de>

Diff between CATTexact versions 0.1.0 dated 2017-09-15 and 0.1.1 dated 2020-06-25

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Package BayesNetBP updated to version 1.5.5 with previous version 1.5.2 dated 2020-04-14

Title: Bayesian Network Belief Propagation
Description: Belief propagation methods in Bayesian Networks to propagate evidence through the network. The implementation of these methods are based on the article: Cowell, RG (2005). Local Propagation in Conditional Gaussian Bayesian Networks <http://www.jmlr.org/papers/volume6/cowell05a/>. For details please see Yu et. al. (2020) BayesNetBP: An R Package for Probabilistic Reasoning in Bayesian Networks <doi:10.18637/jss.v094.i03>. The optional 'cyjShiny' package for running the Shiny app is available at <https://github.com/cytoscape/cyjShiny>. Please see the example in the documentation of 'runBayesNetApp' function for installing 'cyjShiny' package from GitHub.
Author: Han Yu, Rachael Blair, Janhavi Moharil, Andrew Yan
Maintainer: Han Yu <hyu9@buffalo.edu>

Diff between BayesNetBP versions 1.5.2 dated 2020-04-14 and 1.5.5 dated 2020-06-25

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New package Rrelperm with initial version 0.1.0
Package: Rrelperm
Title: Generate Two- And Three-Phase Relative Permeability Estimates
Version: 0.1.0
Date: 2020-06-21
Authors@R: person(given = "Farshad", family = "Tabasinejad", role = c("aut", "cre"), email = "farshad.tabasinejad@susaenergy.com")
Description: Create a table of two- and three-phase relative permeability estimates for water, and hydrocarbon phases in the reservoir. Stone, H. L. (1970) <doi:10.2118/2116-PA>. Fayers, F. J. and Matthews, J. D. (1984) <doi:10.2118/11277-PA>. Baker, L. E. (1988) <doi:10.2118/17369-MS>.
License: GPL-3
URL: https://susaenergy.github.io/Rrelperm_ws/
Imports: Rcpp (>= 1.0.4.6), nleqslv, Rdpack
LinkingTo: Rcpp, RcppArmadillo
RdMacros: Rdpack
Suggests: knitr, rmarkdown, testthat, ggplot2, ggtern, magrittr, tidyr
Language: en-US
Encoding: UTF-8
LazyData: TRUE
VignetteBuilder: knitr
RoxygenNote: 7.1.0
NeedsCompilation: yes
Packaged: 2020-06-22 04:56:21 UTC; ftn60
Author: Farshad Tabasinejad [aut, cre]
Maintainer: Farshad Tabasinejad <farshad.tabasinejad@susaenergy.com>
Repository: CRAN
Date/Publication: 2020-06-25 14:30:14 UTC

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New package MiRNAQCD with initial version 1.0
Package: MiRNAQCD
Version: 1.0
Encoding: UTF-8
Date: 2020-06-01
Title: MiRNA Quality Control and Diagnosis
Description: A set of functions to carry out quality control, training and classification analyses on datasets containing MiRNA multiplets. The package implements the method introduced in Ricci et al. (2015) <doi:10.1186/s12859-015-0715-9>.
Authors@R: c( person("Michele", "Castelluzzo", email = "michele.castelluzzo@unitn.it", role = "aut"), person("Alessio", "Perinelli", email = "alessio.perinelli@unitn.it", role = "cre"), person("Simone", "Detassis", role = "aut"), person("Michela Alessandra", "Denti", email = "michela.denti@unitn.it", role = "aut"), person("Leonardo", "Ricci", email = "leonardo.ricci@unitn.it", role = "aut"))
Maintainer: Alessio Perinelli <alessio.perinelli@unitn.it>
License: GPL-3
RoxygenNote: 7.1.0
Imports: stats, utils, ggplot2, pROC
Suggests: testthat
NeedsCompilation: no
Packaged: 2020-06-22 07:47:04 UTC; chaos
Author: Michele Castelluzzo [aut], Alessio Perinelli [cre], Simone Detassis [aut], Michela Alessandra Denti [aut], Leonardo Ricci [aut]
Repository: CRAN
Date/Publication: 2020-06-25 14:40:07 UTC

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Package inspectdf updated to version 0.0.8 with previous version 0.0.7 dated 2019-11-05

Title: Inspection, Comparison and Visualisation of Data Frames
Description: A collection of utilities for columnwise summary, comparison and visualisation of data frames. Functions report missingness, categorical levels, numeric distribution, correlation, column types and memory usage.
Author: Alastair Rushworth [aut, cre], David Wilkins [ctb]
Maintainer: Alastair Rushworth <alastairmrushworth@gmail.com>

Diff between inspectdf versions 0.0.7 dated 2019-11-05 and 0.0.8 dated 2020-06-25

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New package FREEtree with initial version 0.1.0
Package: FREEtree
Type: Package
Title: Tree Method for High Dimensional Longitudinal Data
Version: 0.1.0
Authors@R: c( person("Yuancheng", "Xu", email = "xuyuancheng0@gmail.com", role = c("aut")), person("Athanasse", "Zafirov", email = "zafirov@gmail.com", role = c("cre")), person("Christina", "Ramirez", email = "cr@ucla.edu", role = c("aut")), person("Dan", "Kojis", email = "x@xxx.edu", role = c("aut")), person("Min", "Tan", email = "xx@xxx.edu", role = c("aut")), person("Mike", "Alvarez", email = "rma@hss.caltech.edu", role = c("aut")))
Description: This tree-based method deals with high dimensional longitudinal data with correlated features through the use of a piecewise random effect model. FREE tree also exploits the network structure of the features, by first clustering them using Weighted Gene Co-expression Network Analysis ('WGCNA'). It then conducts a screening step within each cluster of features and a selecting step among the surviving features, which provides a relatively unbiased way to do feature selection. By using dominant principle components as regression variables at each leaf and the original features as splitting variables at splitting nodes, FREE tree delivers easily interpretable results while improving computational efficiency.
Depends: R (>= 3.5.0)
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: glmertree, pre, WGCNA, MASS
RoxygenNote: 7.1.0
Suggests: knitr, rmarkdown, testthat (>= 2.1.0)
NeedsCompilation: no
Packaged: 2020-06-22 08:36:52 UTC; canth
Author: Yuancheng Xu [aut], Athanasse Zafirov [cre], Christina Ramirez [aut], Dan Kojis [aut], Min Tan [aut], Mike Alvarez [aut]
Maintainer: Athanasse Zafirov <zafirov@gmail.com>
Repository: CRAN
Date/Publication: 2020-06-25 15:00:03 UTC

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Package credentials updated to version 1.2.0 with previous version 1.1 dated 2019-03-12

Title: Tools for Managing SSH and Git Credentials
Description: Setup and retrieve HTTPS and SSH credentials for use with 'git' and other services. For HTTPS remotes the package interfaces the 'git-credential' utility which 'git' uses to store HTTP usernames and passwords. For SSH remotes we provide convenient functions to find or generate appropriate SSH keys. The package both helps the user to setup a local git installation, and also provides a back-end for git/ssh client libraries to authenticate with existing user credentials.
Author: Jeroen Ooms [aut, cre] (<https://orcid.org/0000-0002-4035-0289>)
Maintainer: Jeroen Ooms <jeroen@berkeley.edu>

Diff between credentials versions 1.1 dated 2019-03-12 and 1.2.0 dated 2020-06-25

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 MD5                     |   24 +++++------
 NEWS                    |    3 +
 R/github-pat.R          |   45 +++++++++++++-------
 build/vignette.rds      |binary
 inst/doc/intro.R        |   18 ++++----
 inst/doc/intro.Rmd      |    3 -
 inst/doc/intro.html     |  103 ++++++++++++++++++++++++++++++++----------------
 man/http_credentials.Rd |   10 ++--
 man/set_github_pat.Rd   |   21 ++++++---
 man/ssh_credentials.Rd  |    3 -
 vignettes/intro.Rmd     |    3 -
 13 files changed, 156 insertions(+), 92 deletions(-)

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New package clda with initial version 0.1
Package: clda
Title: Convolution-Based Linear Discriminant Analysis
Version: 0.1
Authors@R: c( person(given = "Grover E.", family = "Castro Guzman", role = c("cre","aut"), email = "grover@usp.br"), person(given = "André", family = "Fujita", role = c("aut"), email = "andrefujita@usp.br"))
Author: Grover E. Castro Guzman [cre, aut], André Fujita [aut]
Maintainer: Grover E. Castro Guzman <grover@usp.br>
Depends: R (>= 3.1.0)
Description: Contains a time series classification method that obtains a set of filters that maximize the between-class and minimize the within-class distances.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
Imports: stats , MASS
NeedsCompilation: no
Packaged: 2020-06-16 14:58:26 UTC; grover
Repository: CRAN
Date/Publication: 2020-06-25 14:30:10 UTC

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New package CHNCapitalStock with initial version 0.0.2
Package: CHNCapitalStock
Title: Compute Chinese Capital Stocks
Version: 0.0.2
Authors@R: person(given = "Pu", family = "Chen", role = c("aut","cre"), email = "shengnehs@qq.com")
Description: Compute Chinese capital stocks in provinces level, based on Zhang (2008) <DOI:10.1080/14765280802028302>.
License: GPL-2
Encoding: UTF-8
LazyData: true
URL: https://github.com/common2016/CapitalStock
RoxygenNote: 7.1.0
Depends: R (>= 2.10)
Imports: magrittr, dplyr
Suggests: testthat
NeedsCompilation: no
Packaged: 2020-06-22 03:09:59 UTC; sheng
Author: Pu Chen [aut, cre]
Maintainer: Pu Chen <shengnehs@qq.com>
Repository: CRAN
Date/Publication: 2020-06-25 14:20:02 UTC

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New package bootUR with initial version 0.1.0
Package: bootUR
Type: Package
Title: Bootstrap Unit Root Tests
Version: 0.1.0
Authors@R: c( person("Stephan", "Smeekes", email = "s.smeekes@maastrichtuniversity.nl", role = c("cre", "aut"), comment = c(ORCID = "0000-0002-0157-639X")), person("Ines", "Wilms", email = "i.wilms@maastrichtuniversity.nl", role = "aut"))
Maintainer: Stephan Smeekes <s.smeekes@maastrichtuniversity.nl>
Description: Set of functions to perform various bootstrap unit root tests for both individual time series (including augmented Dickey-Fuller test and union tests), multiple time series and panel data; see Palm, Smeekes and Urbain (2008) <doi:10.1111/j.1467-9892.2007.00565.x>, Palm, Smeekes and Urbain (2011) <doi:10.1016/j.jeconom.2010.11.010>, Moon and Perron (2012) <doi:10.1016/j.jeconom.2012.01.008>, Smeekes and Taylor (2012) <doi:10.1017/S0266466611000387> and Smeekes (2015) <doi:10.1111/jtsa.12110> for key references.
Depends: R (>= 3.5.0)
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
Imports: Rcpp, stats
LinkingTo: Rcpp, RcppArmadillo
URL: https://github.com/smeekes/bootUR
Suggests: knitr, rmarkdown, testthat
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2020-06-21 19:37:11 UTC; stephan
Author: Stephan Smeekes [cre, aut] (<https://orcid.org/0000-0002-0157-639X>), Ines Wilms [aut]
Repository: CRAN
Date/Publication: 2020-06-25 14:40:02 UTC

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New package RPscoring with initial version 0.1.0
Package: RPscoring
Type: Package
Title: Relative Placement Algorithm
Version: 0.1.0
Authors@R: c(person("Daphna","Harel",email = "daphna.harel@gmail.com",role=c("cre","aut")), person("Yoav","Bergner",email = "yoav.bergner@nyu.edu",role=c("aut")))
Depends: R (>= 3.5.0)
Description: Implementation of the relative placement algorithm widely used in the scoring of Lindy Hop and West Coast Swing dance contests.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.0.0
NeedsCompilation: no
Packaged: 2020-06-19 16:01:52 UTC; daphnaharel
Author: Daphna Harel [cre, aut], Yoav Bergner [aut]
Maintainer: Daphna Harel <daphna.harel@gmail.com>
Repository: CRAN
Date/Publication: 2020-06-25 13:20:11 UTC

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New package permimp with initial version 1.0-0
Package: permimp
Type: Package
Title: Conditional Permutation Importance
Version: 1.0-0
Date: 2020-06-12
Authors@R: c(person(given = "Dries", family = "Debeer", role = c("aut", "cre"), email = "debeer.dries@gmail.com"), person(given = "Torsten", family = "Hothorn", role = "aut"), person(given = "Carolin", family = "Strobl", role = "aut"))
Author: Dries Debeer [aut, cre], Torsten Hothorn [aut], Carolin Strobl [aut]
Maintainer: Dries Debeer <debeer.dries@gmail.com>
Description: An add-on to the 'party' package, with a faster implementation of the partial-conditional permutation importance for random forests. The standard permutation importance is implemented exactly the same as in the 'party' package. The conditional permutation importance can be computed faster, with an option to be backward compatible to the 'party' implementation. The package is compatible with random forests fit using the 'party' and the 'randomForest' package. The methods are described in Strobl et al. (2007) <doi:10.1186/1471-2105-8-25> and Debeer and Strobl (2020).
Depends: R (>= 3.6.0)
Imports: graphics, grDevices, ipred (>= 0.9-6), methods, party (>= 1.3-3), randomForest (>= 4.6-14), stats, survival (>= 2.44-1.1), utils
Suggests: knitr, rmarkdown, scales (>= 0.5.0), testthat
License: GPL-2 | GPL-3
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-06-22 14:14:46 UTC; u0067731
Repository: CRAN
Date/Publication: 2020-06-25 13:20:02 UTC

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New package GMPro with initial version 0.1.0
Package: GMPro
Type: Package
Title: Graph Matching with Degree Profiles
Version: 0.1.0
Author: Yaofang Hu [aut, cre], Wanjie Wang [aut], Yi Yu [aut]
Maintainer: Yaofang Hu <yaofang.hu@u.nus.edu>
Description: Functions for graph matching via nodes' degree profiles are provided in this package. The models we can handle include Erdos-Renyi random graphs and stochastic block models(SBM). More details are in the reference paper: Yaofang Hu, Wanjie Wang and Yi Yu (2020) <arXiv:2006.03284>.
Imports: combinat, stats, transport, igraph
License: GPL-2
Encoding: UTF-8
LazyData: true
URL: https://arxiv.org/abs/2006.03284
Authors@R: c(person("Yaofang", "Hu", role=c("aut", "cre"), email = "yaofang.hu@u.nus.edu"), person("Wanjie", "Wang", role=c("aut"), email = "staww@nus.edu.sg"), person("Yi", "Yu", role=c("aut"), email = "yi.yu.2@warwick.ac.uk"))
RoxygenNote: 7.1.0
Suggests: testthat
NeedsCompilation: no
Packaged: 2020-06-23 15:35:42 UTC; yaofang
Repository: CRAN
Date/Publication: 2020-06-25 14:00:02 UTC

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New package dnapath with initial version 0.6.3
Package: dnapath
Type: Package
Title: Differential Network Analysis using Gene Pathways
Version: 0.6.3
Author: Tyler Grimes and Somnath Datta
Maintainer: Tyler Grimes <tyler.grimes@ufl.edu>
Description: Integrates pathway information into the differential network analysis of two gene expression datasets as described in Grimes, Potter, and Datta (2019) <doi:10.1038/s41598-019-41918-3>. Provides summary functions to break down the results at the pathway, gene, or individual connection level. The differential networks for each pathway of interest can be plotted, and the visualization will highlight any differentially expressed genes and all of the gene-gene associations that are significantly differentially connected.
Depends: R (>= 3.6.0)
License: GPL-2 | GPL-3
LazyData: true
Imports: Rcpp (>= 1.0.1), Rdpack, dplyr, tibble, stats, methods, curl, graphics, grDevices, utils
RdMacros: Rdpack
LinkingTo: Rcpp, RcppArmadillo
Encoding: UTF-8
RoxygenNote: 6.1.1
Suggests: testthat (>= 2.1.0), knitr, rmarkdown, readr, bc3net, corpcor, DWLasso, GENIE3, huge, igraph, minet, ggplot2, SeqNet, biomaRt, reactome.db
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2020-06-22 13:50:07 UTC; Grimes
Repository: CRAN
Date/Publication: 2020-06-25 13:20:05 UTC

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Package sjlabelled updated to version 1.1.6 with previous version 1.1.5 dated 2020-05-25

Title: Labelled Data Utility Functions
Description: Collection of functions dealing with labelled data, like reading and writing data between R and other statistical software packages like 'SPSS', 'SAS' or 'Stata', and working with labelled data. This includes easy ways to get, set or change value and variable label attributes, to convert labelled vectors into factors or numeric (and vice versa), or to deal with multiple declared missing values.
Author: Daniel Lüdecke [aut, cre] (<https://orcid.org/0000-0002-8895-3206>), David Ranzolin [ctb]
Maintainer: Daniel Lüdecke <d.luedecke@uke.de>

Diff between sjlabelled versions 1.1.5 dated 2020-05-25 and 1.1.6 dated 2020-06-25

 DESCRIPTION                    |    8 +-
 MD5                            |   90 +++++++++++-----------
 NAMESPACE                      |  164 +++++++++++++++++++++--------------------
 NEWS.md                        |    6 +
 R/add_labels.R                 |    2 
 R/as_character.R               |    5 +
 R/as_factor.R                  |    8 +-
 R/as_label.R                   |    5 +
 R/as_labelled.R                |    2 
 R/as_numeric.R                 |    5 +
 R/convert_case.R               |    4 -
 R/get_labels.R                 |    2 
 R/get_model_labels.R           |    4 -
 R/get_na.R                     |    4 -
 R/read.R                       |    2 
 R/set_labels.R                 |    4 -
 R/set_na.R                     |    2 
 R/tidy_labels.R                |    2 
 R/unlabel.R                    |   12 +--
 R/write.R                      |    2 
 R/zap_labels.R                 |    6 -
 build/vignette.rds             |binary
 inst/doc/intro_sjlabelled.html |   52 ++++++-------
 inst/doc/labelleddata.html     |    4 -
 inst/doc/quasiquotation.html   |   74 +++++++++---------
 man/add_labels.Rd              |    5 -
 man/as_factor.Rd               |    6 +
 man/as_label.Rd                |    9 +-
 man/as_labelled.Rd             |    2 
 man/as_numeric.Rd              |    6 +
 man/convert_case.Rd            |    4 -
 man/copy_labels.Rd             |    3 
 man/get_label.Rd               |    2 
 man/get_labels.Rd              |    2 
 man/get_na.Rd                  |    4 -
 man/is_labelled.Rd             |   36 ++++-----
 man/label_to_colnames.Rd       |   68 ++++++++---------
 man/read_spss.Rd               |    2 
 man/remove_label.Rd            |    3 
 man/set_labels.Rd              |    4 -
 man/set_na.Rd                  |    5 -
 man/term_labels.Rd             |    4 -
 man/tidy_labels.Rd             |  109 +++++++++++++--------------
 man/unlabel.Rd                 |   12 +--
 man/zap_labels.Rd              |    7 -
 man/zap_na_tags.Rd             |    7 -
 46 files changed, 400 insertions(+), 369 deletions(-)

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New package RcppCWB with initial version 0.2.9
Package: RcppCWB
Type: Package
Title: 'Rcpp' Bindings for the 'Corpus Workbench' ('CWB')
Version: 0.2.9
Date: 2020-06-22
Author: Andreas Blaette [aut, cre], Bernard Desgraupes [aut], Sylvain Loiseau [aut], Oliver Christ [ctb], Bruno Maximilian Schulze [ctb], Stefan Evert [ctb], Arne Fitschen [ctb], Jeroen Ooms [ctb]
Authors@R: c( person("Andreas", "Blaette", role = c("aut", "cre"), email = "andreas.blaette@uni-due.de"), person("Bernard", "Desgraupes", role = "aut"), person("Sylvain", "Loiseau", role = "aut"), person("Oliver", "Christ", role = "ctb"), person("Bruno Maximilian", "Schulze", role = "ctb"), person("Stefan", "Evert", role = "ctb"), person("Arne", "Fitschen", role = "ctb"), person("Jeroen", "Ooms", role = "ctb") )
Maintainer: Andreas Blaette <andreas.blaette@uni-due.de>
Description: 'Rcpp' Bindings for the C code of the 'Corpus Workbench' ('CWB'), an indexing and query engine to efficiently analyze large corpora (<http://cwb.sourceforge.net>). 'RcppCWB' is licensed under the GNU GPL-3, in line with the GPL-3 license of the 'CWB' (<https://www.r-project.org/Licenses/GPL-3>). The 'CWB' relies on 'pcre' (BSD license, see <https://www.pcre.org/licence.txt>) and 'GLib' (LGPL license, see <https://www.gnu.org/licenses/lgpl-3.0.en.html>). See the file LICENSE.note for further information. The package includes modified code of the 'rcqp' package (GPL-2, see <https://cran.r-project.org/package=rcqp>). The original work of the authors of the 'rcqp' package is acknowledged with great respect, and they are listed as authors of this package. To achieve cross-platform portability (including Windows), using 'Rcpp' for wrapper code is the approach used by 'RcppCWB'.
License: GPL-3
Encoding: UTF-8
Copyright: For the copyrights for the 'Corpus Workbench' (CWB) and acknowledgement of authorship, see file COPYRIGHTS.
NeedsCompilation: yes
SystemRequirements: GNU make, pcre (>= 7), GLib (>= 2.0.0). On Windows, no prior installations are necessary, as pre-built (i.e. cross-compiled) binaries of required libraries are downloaded from a GitHub repository (<https://github.com/PolMine/libcl>) during installation. On macOS, static libraries of Glib are downloaded (<https://github.com/PolMine/libglib>) if Glib is not present.
Imports: Rcpp (>= 0.12.6)
Suggests: knitr, testthat
LinkingTo: Rcpp
Biarch: true
URL: https://www.github.com/PolMine/RcppCWB
BugReports: https://github.com/PolMine/RcppCWB/issues
RoxygenNote: 6.1.1
Collate: 'RcppCWB_package.R' 'cl.R' 'cqp.R' 'cwb.R' 'checks.R' 'count.R' 'RcppExports.R' 'decode.R' 'cbow.R' 'region_matrix.R' 'misc.R' 'zzz.R'
Packaged: 2020-06-25 12:04:12 UTC; andreasblaette
Repository: CRAN
Date/Publication: 2020-06-25 12:40:03 UTC

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New package gravitas with initial version 0.1.3
Package: gravitas
Type: Package
Title: Explore Probability Distributions for Bivariate Temporal Granularities
Version: 0.1.3
Authors@R: c(person(given = "Sayani", family = "Gupta", role = c("aut", "cre"), email = "gupta.sayani@gmail.com", comment = c(ORCID = "0000-0003-0643-5358")), person(given = "Rob", family = "Hyndman", role = c("aut", "ths"), email="Rob.Hyndman@monash.edu", comment = c(ORCID = "0000-0002-2140-5352")), person(given = "Di", family = "Cook", role = c("aut", "ths"), email = "dicook@monash.edu", comment = c(ORCID = "0000-0002-3813-7155")), person(given = "Antony", family = "Unwin", role = "aut", email = " unwin@math.uni-augsburg.de", comment = c(ORCID = "0000-0002-5841-5757")))
Depends: R(>= 3.5.0)
Imports: lubridate(>= 1.7.4), dplyr(>= 0.8.0), tsibble (>= 0.8.0), tibble(>= 2.1.1), rlang(>= 0.3.4), tidyr(>= 0.8.3), ggplot2 (>= 3.1.1), stats, stringr(>= 1.4.0), lvplot, ggridges, shiny, RColorBrewer, ineq, magrittr, utils
Suggests: knitr, tsibbledata (>= 0.1.0), purrr (>= 0.3.2), testthat (>= 2.1.0), covr, rmarkdown, readr
VignetteBuilder: knitr
Maintainer: Sayani Gupta <gupta.sayani@gmail.com>
Description: Provides tools for systematically exploring large quantities of temporal data across cyclic temporal granularities (deconstructions of time) by visualizing probability distributions. Cyclic time granularities can be circular, quasi-circular or aperiodic. 'gravitas' computes cyclic single-order-up or multiple-order-up granularities, check the feasibility of creating plots for any two cyclic granularities and recommend probability distributions plots for exploring periodicity in the data.
BugReports: https://github.com/Sayani07/gravitas/issues
License: GPL-3
URL: https://github.com/Sayani07/gravitas/
Encoding: UTF-8
LazyData: true
ByteCompile: true
RoxygenNote: 7.1.0.9000
NeedsCompilation: no
Packaged: 2020-06-25 06:19:10 UTC; sgup0008
Author: Sayani Gupta [aut, cre] (<https://orcid.org/0000-0003-0643-5358>), Rob Hyndman [aut, ths] (<https://orcid.org/0000-0002-2140-5352>), Di Cook [aut, ths] (<https://orcid.org/0000-0002-3813-7155>), Antony Unwin [aut] (<https://orcid.org/0000-0002-5841-5757>)
Repository: CRAN
Date/Publication: 2020-06-25 12:10:07 UTC

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New package flexpolyline with initial version 0.1.0
Package: flexpolyline
Type: Package
Title: Flexible Polyline Encoding
Version: 0.1.0
Authors@R: c(person(given = "Merlin", family = "Unterfinger", role = c("aut", "cre"), email = "info@munterfinger.ch"), person(family = "HERE Europe B.V.", role = c("aut", "cph"), comment = "Flexible polyline encoding C++ implementation"))
Description: Binding to the C++ implementation of the flexible polyline encoding by HERE <https://github.com/heremaps/flexible-polyline>. The flexible polyline encoding is a lossy compressed representation of a list of coordinate pairs or coordinate triples. The encoding is achieved by: (1) Reducing the decimal digits of each value; (2) encoding only the offset from the previous point; (3) using variable length for each coordinate delta; and (4) using 64 URL-safe characters to display the result.
License: GPL-3
URL: https://munterfinger.github.io/flexpolyline, https://github.com/munterfinger/flexpolyline
BugReports: https://github.com/munterfinger/flexpolyline/issues
LinkingTo: Rcpp
Imports: Rcpp, sf (>= 0.9-3)
Suggests: testthat (>= 2.3.2), stringr (>= 1.4.0), knitr (>= 1.28), rmarkdown (>= 2.1), covr (>= 3.5.0)
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2020-06-25 11:44:34 UTC; munterfi
Author: Merlin Unterfinger [aut, cre], HERE Europe B.V. [aut, cph] (Flexible polyline encoding C++ implementation)
Maintainer: Merlin Unterfinger <info@munterfinger.ch>
Repository: CRAN
Date/Publication: 2020-06-25 12:10:11 UTC

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New package eye with initial version 0.1.0
Package: eye
Title: Analysis of Eye Data
Version: 0.1.0
Authors@R: c( person("Tjebo", "Heeren", role = c("aut", "cre"), email = "tjebo@gmx.de", comment = c(ORCID = "0000-0001-5297-2301")), person("Antoine", "Fabri", role = "ctb"))
Description: A tool to facilitate common tasks in ophthalmic research: Conversion between different visual acuity notations (Snellen, logMAR and ETDRS), counting of patients, recode right and left eyes and reshape eye side specific variables between wide and long format. The 'eye' package also contains a real life data set of people with intravitreal injections with anti-vascular endothelial growth factor (anti-VEGF), made available by Fasler et al. (2019) <doi:10.1136/bmjopen-2018-027441>. Visual acuity conversion is based on Schulze-Bonsel et al. (2006) <doi:10.1167/iovs.05-0981>, Gregori et al. (2010) <doi:10.1097/iae.0b013e3181d87e04>, Beck et al. (2003) <doi:10.1016/s0002-9394(02)01825-1> and Bach (2007) <http:michaelbach.de/sci/acuity.html>.
License: MIT + file LICENSE
Language: en-US
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
Depends: R (>= 4.0)
Suggests: testthat, knitr, rmarkdown
Imports: dplyr (>= 1.0.0), cli (>= 2.0.2), english (>= 1.2-5), lubridate (>= 1.7.8), magrittr (>= 1.5), purrr (>= 0.3.4), rlang (>= 0.4.6), stringr (>= 1.4.0), tibble (>= 3.0.1), tidyr (>= 1.0.3), tidyselect (>= 1.1.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-06-25 09:05:12 UTC; tjebo
Author: Tjebo Heeren [aut, cre] (<https://orcid.org/0000-0001-5297-2301>), Antoine Fabri [ctb]
Maintainer: Tjebo Heeren <tjebo@gmx.de>
Repository: CRAN
Date/Publication: 2020-06-25 12:20:03 UTC

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New package ActCR with initial version 0.1.0
Package: ActCR
Type: Package
Title: Extract Circadian Rhythms Metrics from Actigraphy Data
Version: 0.1.0
Authors@R: c( person(given = "Junrui", family = "Di", role = c("aut", "cre"), email = "dijunrui@gmail.com"), person(given = "Vadim", family = "zipunnikov", role = c("aut"), email = "vadim.zipunnikov@gmail.com") )
Maintainer: Junrui Di <dijunrui@gmail.com>
Description: Circadian rhythms are rhythms that oscillate about every 24 h, which has been observed in multiple physiological processes including core body temperature, hormone secretion, heart rate, blood pressure, and many others. Measuring circadian rhythm with wearables is based on a principle that there is increased movement during wake periods and reduced movement during sleep periods, and has been shown to be reliable and valid. This package can be used to extract nonparametric circadian metrics like intradaily variability (IV), interdaily stability (IS), and relative amplitude (RA); and parametric cosinor model coefficient. Details can be found in Junrui Di et al (2019) <doi:10.1007/s12561-019-09236-4>.
License: GPL-3
Imports: zoo, cosinor, cosinor2, dplyr
Depends: R (>= 3.5.0),
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
NeedsCompilation: no
Packaged: 2020-06-24 16:51:34 UTC; dij02
Author: Junrui Di [aut, cre], Vadim zipunnikov [aut]
Repository: CRAN
Date/Publication: 2020-06-25 12:10:16 UTC

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Package SCOR updated to version 1.1.1 with previous version 1.1.0 dated 2019-10-24

Title: Spherically Constrained Optimization Routine
Description: A non convex optimization package that optimizes any function under the criterion, combination of variables are on the surface of a unit sphere, as described in the paper : Das et al. (2019) <arXiv:1909.04024> .
Author: Debsurya De [cre, aut], Priyam Das [aut]
Maintainer: Debsurya De <debsurya001@gmail.com>

Diff between SCOR versions 1.1.0 dated 2019-10-24 and 1.1.1 dated 2020-06-25

 DESCRIPTION             |   11 +++----
 MD5                     |   16 +++++-----
 R/SCOR.R                |   12 +++----
 R/optimized_HUM.R       |   51 +++++++++++++++++----------------
 man/AL.Rd               |    4 +-
 man/SCOR-package.Rd     |    2 -
 man/SCOptim.Rd          |   19 +++++++++---
 man/YoupointsBoxPlot.Rd |    3 -
 man/optimized_HUM.Rd    |   74 ++++++++++++++++++++++++++++++++++++------------
 9 files changed, 123 insertions(+), 69 deletions(-)

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New package rBMF with initial version 1.0
Package: rBMF
Type: Package
Title: Boolean Matrix Factorization
Version: 1.0
Date: 2020-6-18
Author: Abdelmoneim Amer Desouki
Maintainer: Abdelmoneim Amer Desouki <desouki@mail.upb.de>
Depends: R (>= 3.2.0), Matrix, methods, Rcpp
Description: Provides four boolean matrix factorization (BMF) methods. BMF has many applications like data mining and categorical data analysis. BMF is also known as boolean matrix decomposition (BMD) and was found to be an NP-hard (non-deterministic polynomial-time) problem. Currently implemented methods are 'Asso' Miettinen, Pauli and others (2008) <doi.org/doi.org/10.1109/TKDE.2008.53>, 'GreConD' R. Belohlavek, V. Vychodil (2010) <doi.org/10.1016/j.jcss.2009.05.002> , 'GreConDPlus' R. Belohlavek, V. Vychodil (2010) <doi.org/10.1016/j.jcss.2009.05.002> , 'topFiberM' A. Desouki, M. Roeder, A. Ngonga (2019) <arXiv:1903.10326>.
License: GPL-3
NeedsCompilation: no
Packaged: 2020-06-24 12:34:05 UTC; Abdelmonem
Repository: CRAN
Date/Publication: 2020-06-25 12:00:02 UTC

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New package malan with initial version 1.0.2
Package: malan
Type: Package
Title: MAle Lineage ANalysis
Version: 1.0.2
Authors@R: c( person(given = "Mikkel Meyer", family = "Andersen", email = "mikl@math.aau.dk", role = c("aut", "cre")) )
Author: Mikkel Meyer Andersen [aut, cre]
Maintainer: Mikkel Meyer Andersen <mikl@math.aau.dk>
Description: MAle Lineage ANalysis by simulating genealogies backwards and imposing short tandem repeats (STR) mutations forwards. Intended for forensic Y chromosomal STR (Y-STR) haplotype analyses. Numerous analyses are possible, e.g. number of matches and meiotic distance to matches. Refer to papers mentioned in citation("malan") (DOI's: <doi:10.1371/journal.pgen.1007028>, <doi:10.21105/joss.00684> and <doi:10.1016/j.fsigen.2018.10.004>).
License: GPL-2 | file LICENSE
Imports: Rcpp (>= 0.12.7), RcppProgress (>= 0.2.1), RcppArmadillo (>= 0.9.880.1.0), igraph (>= 1.0.1), tibble (>= 1.1), magrittr (>= 1.5), methods
Depends: R (>= 2.10), dplyr (>= 0.7.3), tidygraph (>= 1.0.0.9999)
LinkingTo: Rcpp, RcppArmadillo, RcppProgress
Suggests: knitr, rmarkdown, testthat, ggraph, dirmult, Rmpfr
BugReports: https://github.com/mikldk/malan/issues
VignetteBuilder: knitr
Encoding: UTF-8
SystemRequirements: C++11
LazyData: true
RoxygenNote: 7.1.0
NeedsCompilation: yes
Packaged: 2020-06-25 11:02:10 UTC; mikl
Repository: CRAN
Date/Publication: 2020-06-25 12:00:06 UTC

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Package MAINT.Data updated to version 2.4.1 with previous version 2.4.0 dated 2020-06-25

Title: Model and Analyse Interval Data
Description: Implements methodologies for modelling interval data by Normal and Skew-Normal distributions, considering appropriate parameterizations of the variance-covariance matrix that takes into account the intrinsic nature of interval data, and lead to four different possible configuration structures. The Skew-Normal parameters can be estimated by maximum likelihood, while Normal parameters may be estimated by maximum likelihood or robust trimmed maximum likelihood methods.
Author: Pedro Duarte Silva <psilva@porto.ucp.pt>, Paula Brito <mpbrito.fep.up.pt>
Maintainer: Pedro Duarte Silva <psilva@porto.ucp.pt>

Diff between MAINT.Data versions 2.4.0 dated 2020-06-25 and 2.4.1 dated 2020-06-25

 CHANGELOG                 |    8 ++++-
 DESCRIPTION               |    8 ++---
 MD5                       |   10 +++----
 man/MAINT.Data-package.Rd |    4 +-
 src/CEMGauss.cpp          |   64 +---------------------------------------------
 src/MDataGaussLogLik.cpp  |    2 -
 6 files changed, 19 insertions(+), 77 deletions(-)

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New package mailtoR with initial version 0.1.0
Package: mailtoR
Type: Package
Title: Creates a Friendly User Interface for Emails Sending in 'shiny'
Version: 0.1.0
Author: Mohamed El Fodil Ihaddaden
Maintainer: Mohamed El Fodil Ihaddaden <ihaddaden.fodeil@gmail.com>
Description: Allows the user to generate a friendly user interface for emails sending. The user can choose from the most popular free email services ('Gmail', 'Outlook', 'Yahoo') and his default email application. The package is a wrapper for the 'Mailtoui' 'JavaScript' library. See <https://mailtoui.com/#menu> for more information.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: htmltools, glue, utils
RoxygenNote: 7.1.0
URL: https://github.com/feddelegrand7/mailtoR
BugReports: https://github.com/feddelegrand7/mailtoR/issues
NeedsCompilation: no
Packaged: 2020-06-20 11:42:56 UTC; THINKPAD L390
Repository: CRAN
Date/Publication: 2020-06-25 11:50:05 UTC

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Package jsonlite updated to version 1.7.0 with previous version 1.6.1 dated 2020-02-02

Title: A Robust, High Performance JSON Parser and Generator for R
Description: A fast JSON parser and generator optimized for statistical data and the web. Started out as a fork of 'RJSONIO', but has been completely rewritten in recent versions. The package offers flexible, robust, high performance tools for working with JSON in R and is particularly powerful for building pipelines and interacting with a web API. The implementation is based on the mapping described in the vignette (Ooms, 2014). In addition to converting JSON data from/to R objects, 'jsonlite' contains functions to stream, validate, and prettify JSON data. The unit tests included with the package verify that all edge cases are encoded and decoded consistently for use with dynamic data in systems and applications.
Author: Jeroen Ooms [aut, cre] (<https://orcid.org/0000-0002-4035-0289>), Duncan Temple Lang [ctb], Lloyd Hilaiel [cph] (author of bundled libyajl)
Maintainer: Jeroen Ooms <jeroen@berkeley.edu>

Diff between jsonlite versions 1.6.1 dated 2020-02-02 and 1.7.0 dated 2020-06-25

 jsonlite-1.6.1/jsonlite/R/asJSON.extra.R                       |only
 jsonlite-1.7.0/jsonlite/DESCRIPTION                            |   11 
 jsonlite-1.7.0/jsonlite/LICENSE                                |    2 
 jsonlite-1.7.0/jsonlite/MD5                                    |   49 +--
 jsonlite-1.7.0/jsonlite/NEWS                                   |    4 
 jsonlite-1.7.0/jsonlite/R/asJSON.difftime.R                    |    4 
 jsonlite-1.7.0/jsonlite/R/asJSON.sf.R                          |only
 jsonlite-1.7.0/jsonlite/R/base64.R                             |    2 
 jsonlite-1.7.0/jsonlite/R/read_json.R                          |    2 
 jsonlite-1.7.0/jsonlite/R/stream.R                             |    2 
 jsonlite-1.7.0/jsonlite/build/vignette.rds                     |binary
 jsonlite-1.7.0/jsonlite/inst/doc/json-aaquickstart.html        |    2 
 jsonlite-1.7.0/jsonlite/inst/doc/json-apis.Rmd                 |  161 +++-------
 jsonlite-1.7.0/jsonlite/inst/doc/json-apis.html                |  151 +++------
 jsonlite-1.7.0/jsonlite/inst/doc/json-mapping.pdf              |binary
 jsonlite-1.7.0/jsonlite/inst/doc/json-paging.Rmd               |   29 -
 jsonlite-1.7.0/jsonlite/inst/doc/json-paging.html              |   31 -
 jsonlite-1.7.0/jsonlite/man/base64.Rd                          |    2 
 jsonlite-1.7.0/jsonlite/man/read_json.Rd                       |    2 
 jsonlite-1.7.0/jsonlite/man/stream_in.Rd                       |    2 
 jsonlite-1.7.0/jsonlite/tests/testthat/test-libjson-utf8.R     |   12 
 jsonlite-1.7.0/jsonlite/tests/testthat/test-serializeJSON-S4.R |    1 
 jsonlite-1.7.0/jsonlite/tests/testthat/test-toJSON-sf.R        |only
 jsonlite-1.7.0/jsonlite/vignettes/json-apis.Rmd                |  161 +++-------
 jsonlite-1.7.0/jsonlite/vignettes/json-apis.Rmd.orig           |    9 
 jsonlite-1.7.0/jsonlite/vignettes/json-paging.Rmd              |   29 -
 jsonlite-1.7.0/jsonlite/vignettes/precompile.R                 |    4 
 27 files changed, 287 insertions(+), 385 deletions(-)

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New package fitConic with initial version 1.1
Package: fitConic
Title: Fit Data to Any Conic Section
Version: 1.1
Date: 2020-06-14
Authors@R: c(person(given = "Carl", family = "Witthoft", role = c("aut","cre"), email= "carl@witthoft.com") ,person(given="Jose", family= "Gama", role = "ctb"), person(given="Nikolai", family = "Chernov", role = "ctb"))
Description: Fit data to an ellipse, hyperbola, or parabola. Bootstrapping is available when needed. The conic curve can be rotated through an arbitrary angle and the fit will still succeed. Helper functions are provided to convert generator coefficients from one style to another, generate test data sets, rotate conic section parameters, and so on. References include Nikolai Chernov (2014) "Fitting ellipses, circles, and lines by least squares" <http://people.cas.uab.edu/~mosya/cl/>; A. W. Fitzgibbon, M. Pilu, R. B. Fisher (1999) "Direct Least Squares Fitting of Ellipses" IEEE Trans. PAMI, Vol. 21, pages 476-48; N. Chernov, Q. Huang, and H. Ma (2014) "Fitting quadratic curves to data points", British Journal of Mathematics & Computer Science, 4, 33-60; N. Chernov and H. Ma (2011) "Least squares fitting of quadratic curves and surfaces", Computer Vision, Editor S. R. Yoshida, Nova Science Publishers, pp. 285-302.
Imports: pracma
License: LGPL-3
NeedsCompilation: no
Packaged: 2020-06-25 10:31:04 UTC; cgw
Author: Carl Witthoft [aut, cre], Jose Gama [ctb], Nikolai Chernov [ctb]
Maintainer: Carl Witthoft <carl@witthoft.com>
Repository: CRAN
Date/Publication: 2020-06-25 11:50:15 UTC

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New package us.census.geoheader with initial version 1.0.2
Package: us.census.geoheader
Title: US 2010 Census SF2 Geographic Header Summary Levels 010-050
Version: 1.0.2
Date: 2020-06-09
Authors@R: c(person("Greg", "Minshall", role = c("aut", "cph", "cre"), email = "minshall@acm.org"), person("United States Census Bureau", "", role = c("dtc")) )
URL: https://gitlab.com/minshall/us-census-geoheader
Description: A simple interface to the Geographic Header information from the "2010 US Census Summary File 2". The entire Summary File 2 is described at <https://catalog.data.gov/dataset/census-2000-summary-file-2-sf2>, but note that this package only provides access to parts of the geographic header ('geoheader') of the file. In particular, only the first 101 columns of the geoheader are included and, more importantly, only rows with summary levels (SUMLEVs) 010 through 050 (nation down through county level) are included. In addition to access to (part of) the geoheader, the package also provides a decode function that takes a column name and value and, for certain columns, returns "the meaning" of that column (i.e., a "SUMLEV" value of 40 means "State"); without a value, the decode function attempts to describe the column itself.
Imports: utils, tibble
Suggests: R.rsp
License: BSD_2_clause + file LICENSE
Encoding: UTF-8
LazyData: true
VignetteBuilder: R.rsp
RoxygenNote: 7.1.0
NeedsCompilation: no
Packaged: 2020-06-15 00:58:29 UTC; minshall
Author: Greg Minshall [aut, cph, cre], United States Census Bureau [dtc]
Maintainer: Greg Minshall <minshall@acm.org>
Repository: CRAN
Date/Publication: 2020-06-25 10:20:02 UTC

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New package Rnightly with initial version 0.1.0
Package: Rnightly
Type: Package
Title: A Wrapper of the 'JavaScript' Library 'Nightly'
Version: 0.1.0
Author: Mohamed El Fodil Ihaddaden
Maintainer: Mohamed El Fodil Ihaddaden <ihaddaden.fodeil@gmail.com>
Description: Allows the user to implement a dark/light toggle mode in 'shiny' using the 'Nightly' 'JavaScript' library. The default mode is dark/light however the user can also specify other colours.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: glue, htmltools
RoxygenNote: 7.1.0
URL: https://github.com/feddelegrand7/Rnightly
BugReports: https://github.com/feddelegrand7/Rnightly/issues
NeedsCompilation: no
Packaged: 2020-06-21 01:18:00 UTC; THINKPAD L390
Repository: CRAN
Date/Publication: 2020-06-25 10:20:06 UTC

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New package cherryblossom with initial version 0.1.0
Package: cherryblossom
Title: Cherry Blossom Run Race Results
Version: 0.1.0
Authors@R: person(given = "Mine", family = "Çetinkaya-Rundel", role = c("aut", "cre"), email = "cetinkaya.mine@gmail.com", comment = c(ORCID = "0000-0001-6452-2420"))
Description: Race results of the Cherry Blossom Run, which is an annual road race that takes place in Washington, DC.
License: GPL-3
Suggests: ggplot2, testthat
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
URL: https://github.com/OpenIntroStat/cherryblossom
BugReports: https://github.com/OpenIntroStat/cherryblossom/issues
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2020-06-20 11:35:35 UTC; mine
Author: Mine Çetinkaya-Rundel [aut, cre] (<https://orcid.org/0000-0001-6452-2420>)
Maintainer: Mine Çetinkaya-Rundel <cetinkaya.mine@gmail.com>
Repository: CRAN
Date/Publication: 2020-06-25 10:10:02 UTC

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Package TestCor updated to version 0.0.2.0 with previous version 0.0.1.1 dated 2020-01-17

Title: FWER and FDR Controlling Procedures for Multiple Correlation Tests
Description: Different multiple testing procedures for correlation tests are implemented. These procedures were shown to theoretically control asymptotically the Family Wise Error Rate (Roux (2018) <https://tel.archives-ouvertes.fr/tel-01971574v1>) or the False Discovery Rate (Cai & Liu (2016) <doi:10.1080/01621459.2014.999157>). The package gather four test statistics used in correlation testing, four FWER procedures with either single step or stepdown versions, and four FDR procedures.
Author: Gannaz Irene [aut, cre]
Maintainer: Gannaz Irene <irene.gannaz@insa-lyon.fr>

Diff between TestCor versions 0.0.1.1 dated 2020-01-17 and 0.0.2.0 dated 2020-06-25

 DESCRIPTION                |   16 --
 MD5                        |   70 ++++-----
 NAMESPACE                  |    4 
 R/ApplyFwer.R              |  178 +++++++++++++----------
 R/FdrMethods.R             |  171 ++++++++++++----------
 R/FwerMethods.R            |  286 ++++++++++++++++++++++++++-----------
 R/FwerMethodsSD.R          |  339 ++++++++++++++++++++++++++++-----------------
 R/RcppExports.R            |   32 ++++
 R/SimuFwer.R               |  110 +++++++-------
 R/eval_stat.R              |   50 +++++-
 man/ApplyFdrCor.Rd         |   16 +-
 man/ApplyFwerCor.Rd        |   30 ++-
 man/ApplyFwerCor_oracle.Rd |   32 ++--
 man/BHBootCor.Rd           |   17 +-
 man/BHCor.Rd               |   16 +-
 man/BonferroniCor.Rd       |   29 ++-
 man/BonferroniCor_SD.Rd    |   29 ++-
 man/BootRWCor.Rd           |   28 ++-
 man/BootRWCor_SD.Rd        |   28 ++-
 man/LCTboot.Rd             |   17 +-
 man/LCTnorm.Rd             |   16 +-
 man/SidakCor.Rd            |   29 ++-
 man/SidakCor_SD.Rd         |   33 +++-
 man/SimuFdr.Rd             |    6 
 man/SimuFwer.Rd            |    8 -
 man/SimuFwer_oracle.Rd     |    6 
 man/TestCor-package.Rd     |    2 
 man/UncorrectedCor.Rd      |only
 man/covD2nd.Rd             |only
 man/covDcorNorm.Rd         |    8 -
 man/eval_stat.Rd           |    2 
 man/maxTinftyCor.Rd        |   28 ++-
 man/maxTinftyCor_SD.Rd     |   30 ++-
 man/unvectorize.Rd         |only
 man/vectorize.Rd           |    3 
 man/whichCor.Rd            |only
 src/RcppExports.cpp        |   25 +++
 src/annexes.cpp            |   68 +++++++++
 38 files changed, 1160 insertions(+), 602 deletions(-)

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New package SegEnvIneq with initial version 1.0
Package: SegEnvIneq
Type: Package
Title: Environmental Inequality Indices Based on Segregation Measures
Version: 1.0
Date: 2020-06-19
Authors@R: c(person("Mihai", "Tivadar", role = c("aut", "cre"), email = "mihai.tivadar@inrae.fr"), person("Yves", family = "Schaeffer", role = "aut", email = "yves.schaeffer@inrae.fr"))
Description: A set of segregation-based indices and randomization methods to make robust environmental inequality assessments, as described in Schaeffer and Tivadar (2019) "Measuring Environmental Inequalities: Insights from the Residential Segregation Literature" <doi:10.1016/j.ecolecon.2019.05.009>.
Depends: R (>= 4.0.0)
Imports: rgdal (>= 1.4-8), rgeos (>= 0.5-3), spdep (>= 1.1-3), OasisR (>= 3.0.2), outliers (>= 0.14)
License: GPL-2 | GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
NeedsCompilation: no
Packaged: 2020-06-19 06:56:57 UTC; mihai.tivadar
Author: Mihai Tivadar [aut, cre], Yves Schaeffer [aut]
Maintainer: Mihai Tivadar <mihai.tivadar@inrae.fr>
Repository: CRAN
Date/Publication: 2020-06-25 09:10:06 UTC

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New package hmclearn with initial version 0.0.3
Package: hmclearn
Type: Package
Title: Fit Statistical Models Using Hamiltonian Monte Carlo
Version: 0.0.3
Authors@R: c( person("Samuel", "Thomas", email = "samthoma@iu.edu", role = c("cre", "aut")), person("Wanzhu", "Tu", email = "wtu1@iu.edu", role = "ctb"))
Maintainer: Samuel Thomas <samthoma@iu.edu>
Description: Provide users with a framework to learn the intricacies of the Hamiltonian Monte Carlo algorithm with hands-on experience by tuning and fitting their own models. All of the code is written in R. Theoretical references are listed below:. Neal, Radford (2011) "Handbook of Markov Chain Monte Carlo" ISBN: 978-1420079418, Betancourt, Michael (2017) "A Conceptual Introduction to Hamiltonian Monte Carlo" <arXiv:1701.02434>, Thomas, S., Tu, W. (2020) "Hamiltonian Monte Carlo" <doi:10.1002/9781118445112.stat08243>, Gelman, A., Carlin, J. B., Stern, H. S., Dunson, D. B., Vehtari, A., & Rubin, D. B. (2013) "Bayesian Data Analysis" ISBN: 978-1439840955, Agresti, Alan (2015) "Foundations of Linear and Generalized Linear Models ISBN: 978-1118730034, Pinheiro, J., Bates, D. (2006) "Mixed-effects Models in S and S-Plus" ISBN: 978-1441903174.
Depends: R (>= 3.6)
License: GPL-3
Encoding: UTF-8
Language: en-US
LazyData: true
Suggests: knitr, rmarkdown, Matrix, lme4, carData, mlbench, ggplot2, mlmRev, testthat, MCMCpack
RoxygenNote: 7.1.0
Imports: bayesplot, parallel, MASS, mvtnorm
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-06-19 13:46:11 UTC; samuelthomas
Author: Samuel Thomas [cre, aut], Wanzhu Tu [ctb]
Repository: CRAN
Date/Publication: 2020-06-25 09:20:02 UTC

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New package grobblR with initial version 0.1.0
Package: grobblR
Title: Creating Flexible, Reproducible 'PDF' Reports
Version: 0.1.0
Authors@R: c(person(given = "Calvin", family = "Floyd", email = "calvin.michael.floyd@gmail.com", role = c("aut", "cre", "cph") ))
Description: A tool which allows users the ability to intuitively create flexible, reproducible portable document format reports comprised of aesthetically pleasing tables, images, plots and/or text.
Depends: R (>= 3.3.1)
Imports: dplyr, ggplot2, glue, graphics, grDevices, grid, gridExtra, methods, magrittr, png, purrr, RCurl, stringr, tibble, tools
License: MIT + file LICENSE
Language: en-US
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
Suggests: knitr, rmarkdown, R6, scales, testthat
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-06-19 19:27:22 UTC; cfloyd
Author: Calvin Floyd [aut, cre, cph]
Maintainer: Calvin Floyd <calvin.michael.floyd@gmail.com>
Repository: CRAN
Date/Publication: 2020-06-25 10:00:02 UTC

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New package ezEDA with initial version 0.1.0
Package: ezEDA
Type: Package
Title: Task Oriented Interface for Exploratory Data Analysis
Version: 0.1.0
Authors@R: person("Viswa", "Viswanathan", email = "kv.viswana@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0003-4395-5061"))
URL: http://github.com/kviswana/ezEDA
BugReports: http://github.com/kviswana/ezEDA/issues
Maintainer: Viswa Viswanathan <kv.viswana@gmail.com>
Description: Enables users to create visualizations using functions based on the data analysis task rather than on plotting mechanics. It hides the details of the individual 'ggplot2' function calls and allows the user to focus on the end goal. Useful for quick preliminary explorations. Provides functions for common exploration patterns. Some of the ideas in this package are motivated by Fox (2015, ISBN:1938377052).
Depends: R (>= 3.1)
Imports: ggplot2 (>= 3.1.0), dplyr (>= 0.8.0.1), rlang (>= 0.2.1), tidyr (>= 0.8.3), GGally (>= 1.4.0), scales (>= 1.0.0), magrittr (>= 1.5), purrr (>= 0.3.3)
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
Suggests: testthat, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-06-19 11:47:25 UTC; kv
Author: Viswa Viswanathan [aut, cre] (<https://orcid.org/0000-0003-4395-5061>)
Repository: CRAN
Date/Publication: 2020-06-25 09:20:06 UTC

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New package dynmix with initial version 1.0
Package: dynmix
Type: Package
Title: Estimation of Dynamic Finite Mixtures
Version: 1.0
Imports: graphics, MASS, Rcpp, stats, utils, zoo
LinkingTo: Rcpp, RcppArmadillo
Date: 2020-06-19
Authors@R: person("Krzysztof", "Drachal", role = c("aut","cre"), email="kdrachal@wne.uw.edu.pl", comment = "Faculty of Economic Sciences, University of Warsaw, Poland")
Author: Krzysztof Drachal [aut, cre] (Faculty of Economic Sciences, University of Warsaw, Poland)
Maintainer: Krzysztof Drachal <kdrachal@wne.uw.edu.pl>
Description: Allows to perform the dynamic mixture estimation with state-space components and normal regression components, and clustering with normal mixture. Quasi-Bayesian estimation, as well as, that based on the Kerridge inaccuracy approximation are implemented. Main references: Nagy and Suzdaleva (2013) <doi:10.1016/j.apm.2013.05.038>; Nagy et al. (2011) <doi:10.1002/acs.1239>.
License: GPL-3
LazyData: TRUE
URL: https://CRAN.R-project.org/package=dynmix
Note: The author obtained financial resources as part of financing the doctoral scholarship from the Polish National Science Centre (DEC-2018/28/T/HS4/00095).
NeedsCompilation: yes
Packaged: 2020-06-19 14:32:59 UTC; Krzysiek
Repository: CRAN
Date/Publication: 2020-06-25 09:20:09 UTC

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New package auctionr with initial version 0.1.0
Package: auctionr
Type: Package
Title: Estimate First-Price Auction Model
Version: 0.1.0
Authors@R: c( person("Alex", "MacKay", email = "amackay@hbs.edu", role = c("aut", "cre")), person("Bob", "Freeman", email = "robert_freeman@harvard.edu", role = c("aut")), person("Paul", "Jonak", email = "pjonak@hbs.edu", role = c("aut")), person("Victoria", "Prince", email = "vliublinska@hbs.edu", role = c("aut")), person("Ista", "Zahn", email = "izahn@hbs.edu", role = c("aut")) )
Description: Estimates a first-price auction model with conditionally independent private values as described in MacKay (2020) <doi:10.2139/ssrn.3096534>. The model allows for unobserved heterogeneity that is common to all bidders in addition to observable heterogeneity.
License: GPL-3
URL: https://github.com/ajmack/auctionr
BugReports: https://github.com/ajmack/auctionr/issues
Depends: R (>= 3.5.0)
Imports: stats, parallel, numDeriv (>= 2016.8-1)
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: TRUE
RoxygenNote: 7.1.0
Suggests: testthat (>= 2.1.0), knitr, rmarkdown
NeedsCompilation: no
Packaged: 2020-06-19 14:27:36 UTC; izahn
Author: Alex MacKay [aut, cre], Bob Freeman [aut], Paul Jonak [aut], Victoria Prince [aut], Ista Zahn [aut]
Maintainer: Alex MacKay <amackay@hbs.edu>
Repository: CRAN
Date/Publication: 2020-06-25 10:00:07 UTC

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Package sentometrics updated to version 0.8.2 with previous version 0.8.1 dated 2020-03-11

Title: An Integrated Framework for Textual Sentiment Time Series Aggregation and Prediction
Description: Optimized prediction based on textual sentiment, accounting for the intrinsic challenge that sentiment can be computed and pooled across texts and time in various ways. See Ardia et al. (2020) <doi:10.2139/ssrn.3067734>.
Author: Samuel Borms [aut, cre] (<https://orcid.org/0000-0001-9533-1870>), David Ardia [aut] (<https://orcid.org/0000-0003-2823-782X>), Keven Bluteau [aut] (<https://orcid.org/0000-0003-2990-4807>), Kris Boudt [aut] (<https://orcid.org/0000-0002-1000-5142>), Jeroen Van Pelt [ctb], Andres Algaba [ctb]
Maintainer: Samuel Borms <samuel.borms@unine.ch>

Diff between sentometrics versions 0.8.1 dated 2020-03-11 and 0.8.2 dated 2020-06-25

 sentometrics-0.8.1/sentometrics/data/datalist                               |only
 sentometrics-0.8.2/sentometrics/DESCRIPTION                                 |   10 
 sentometrics-0.8.2/sentometrics/MD5                                         |   78 +--
 sentometrics-0.8.2/sentometrics/NAMESPACE                                   |   25 -
 sentometrics-0.8.2/sentometrics/NEWS.md                                     |  245 +++++-----
 sentometrics-0.8.2/sentometrics/R/RcppExports.R                             |   54 +-
 sentometrics-0.8.2/sentometrics/R/attribution.R                             |    4 
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New package r2shortcode with initial version 0.1
Package: r2shortcode
Type: Package
Title: Shorten Package Function Names
Version: 0.1
Author: Obinna Obianom
Maintainer: Obinna Obianom <idonshayo@gmail.com>
Description: When creating a package, authors may sometimes struggle with coming up with easy and straightforward function names, and at the same time hoping that other packages do not already have the same function names. In trying to meet this goal, sometimes, function names are not descriptive enough and may confuse the potential users. The purpose of this package is to serve as a package function short form generator and also provide shorthand names for other functions. Having this package will entice authors to create long function names without the fear of users not wanting to use their packages because of the long names. In a way, everyone wins - the authors can use long descriptive function names, and the users can use this package to make short functions names while still using the package in question.
License: MIT + file LICENSE
URL: https://github.com/oobianom/r2shortcode
BugReports: https://github.com/oobianom/r2shortcode
Depends: R (>= 3.4)
Imports: utils, stringr, magrittr
Suggests: rmarkdown, knitr, qpdf
Encoding: UTF-8
VignetteBuilder: knitr
Language: en-US
LazyData: true
RoxygenNote: 7.0.1
NeedsCompilation: no
Packaged: 2020-06-24 15:50:24 UTC; oobianom
Repository: CRAN
Date/Publication: 2020-06-25 08:40:02 UTC

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New package peppm with initial version 0.0.1
Package: peppm
Type: Package
Title: Piecewise Exponential Distribution with Random Time Grids
Version: 0.0.1
Authors@R: person(given = "Fabio", family = "Demarqui", email = "fndemarqui@est.ufmg.br", role = c("aut", "cre"), comment = c(ORCID = "0000-0001-9236-1986"))
Maintainer: Fabio Demarqui <fndemarqui@est.ufmg.br>
Description: Fits the Piecewise Exponential distribution with random time grids using the clustering structure of the Product Partition Models. Details of the implemented model can be found in Demarqui et al. (2008) <doi:10.1007/s10985-008-9086-0>.
License: GPL (>= 2)
URL: https://github.com/fndemarqui/peppm
BugReports: https://github.com/fndemarqui/peppm/issues
Depends: R (>= 3.2.0)
Imports: Rcpp (>= 1.0.1)
LinkingTo: Rcpp
RoxygenNote: 7.1.0
Suggests: testthat
NeedsCompilation: yes
Packaged: 2020-06-24 22:16:27 UTC; fndemarqui
Author: Fabio Demarqui [aut, cre] (<https://orcid.org/0000-0001-9236-1986>)
Repository: CRAN
Date/Publication: 2020-06-25 08:50:02 UTC

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New package omopr with initial version 0.2
Package: omopr
Type: Package
Title: OMOP CDM Databases using the Tidyverse
Version: 0.2
Date: 2020-06-17
Author: Darren Wilkinson
Maintainer: Darren Wilkinson <darren.wilkinson@ncl.ac.uk>
Description: Utility functions for querying electronic health record (EHR) data in 'OMOP' Common Data Model <https://www.ohdsi.org/data-standardization/the-common-data-model/> databases using a 'tidyverse' approach based on 'dbplyr' lazy queries. This allows efficient in-database querying and data wrangling without explicit writing of 'SQL' queries.
License: LGPL-3
Depends: R(>= 3.0.0), dbplyr, dplyr, DBI, RSQLite
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Repository: CRAN
Repository/R-Forge/Project: omopr
Repository/R-Forge/Revision: 15
Repository/R-Forge/DateTimeStamp: 2020-06-24 14:15:45
Date/Publication: 2020-06-25 08:40:06 UTC
NeedsCompilation: no
Packaged: 2020-06-24 14:27:15 UTC; rforge

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Package GLMMadaptive updated to version 0.7-0 with previous version 0.6-8 dated 2020-01-24

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>

Diff between GLMMadaptive versions 0.6-8 dated 2020-01-24 and 0.7-0 dated 2020-06-25

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New package forestry with initial version 0.1.0
Package: forestry
Type: Package
Title: Reshape Data Tree
Version: 0.1.0
Authors@R: c(person(given = "Jiena", family = "McLellan", role = c("aut", "cre"), email = "jienagu90@gmail.com", comment = c(ORCID = "0000-0002-5578-088X")), person(given = "Michael", family = "Condouris", role = "ctb", comment = c(ORCID = "0000-0002-8862-4250")), person(given = "Sai", family = "Im", role = "ctb", comment = c(ORCID = "0000-0003-1990-5179")))
Maintainer: Jiena McLellan <jienagu90@gmail.com>
Description: A series of utility functions to help with reshaping hierarchy of data tree, and reform the structure of data tree.
BugReports: https://github.com/jienagu/forestry/issues
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
License: MIT + file LICENSE
Imports: data.tree
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.0.2
NeedsCompilation: no
Packaged: 2020-06-24 22:24:16 UTC; Jiena_Mclellan
Author: Jiena McLellan [aut, cre] (<https://orcid.org/0000-0002-5578-088X>), Michael Condouris [ctb] (<https://orcid.org/0000-0002-8862-4250>), Sai Im [ctb] (<https://orcid.org/0000-0003-1990-5179>)
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2020-06-25 08:50:06 UTC

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New package DynareR with initial version 0.1.0
Package: DynareR
Type: Package
Title: A Seamless Integration of 'R' and 'Dynare'
Version: 0.1.0
Author: Sagiru Mati [aut, cre]
Authors@R: c( person("Sagiru", "Mati", role = c("aut", "cre"), email = "smati@smati.com.ng"))
Maintainer: Sagiru Mati <smati@smati.com.ng>
Description: It allows running 'Dynare' program from R Markdown. 'Dynare' is a software platform for handling a wide class of economic models, in particular dynamic stochastic general equilibrium ('DSGE') and overlapping generations ('OLG') models. This package serves as a 'Dynare' Knit-Engine for 'knitr' package. The package requires 'Dynare' 4.6.1 (<https://dynare.org>) and 'Octave' 5.2.0 (<https://www.gnu.org/software/octave/download.html>). Write all your 'Dynare' commands in R Markdown chunk.
Depends: R (>= 3.2.3)
Imports: knitr (>= 1.20)
SystemRequirements: Dynare (>= 4.6.1), Octave (=5.2.0)
Suggests: rmarkdown
License: GPL
URL: https://github.com/sagirumati/DynareR/
BugReports: https://github.com/sagirumati/DynareR/issues
Encoding: UTF-8
VignetteBuilder: knitr
RoxygenNote: 7.1.0
NeedsCompilation: no
Packaged: 2020-06-24 16:12:25 UTC; SMATI
Repository: CRAN
LazyData: true
Date/Publication: 2020-06-25 08:40:09 UTC

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Package BIOMASS updated to version 2.1.3 with previous version 2.1.2 dated 2020-06-15

Title: Estimating Aboveground Biomass and Its Uncertainty in Tropical Forests
Description: Contains functions to estimate aboveground biomass/carbon and its uncertainty in tropical forests. These functions allow to (1) retrieve and to correct taxonomy, (2) estimate wood density and its uncertainty, (3) construct height-diameter models, (4) manage tree and plot coordinates, (5) estimate the aboveground biomass/carbon at the stand level with associated uncertainty. To cite BIOMASS, please use citation("BIOMASS"). See more in the article of Réjou-Méchain et al. (2017) <doi:10.1111/2041-210X.12753>.
Author: Maxime Réjou-Méchain [aut, cre, dtc], Arthur Pere [aut], Guillaume Cornu [aut] (<https://orcid.org/0000-0002-7523-5176>), Ariane Tanguy [aut], Camille Piponiot [aut], Jerome Chave [dtc], Bruno Hérault [aut], Ted Feldpausch [dtc], Philippe Verley [ctb]
Maintainer: Maxime Réjou-Méchain <maxime.rejou@gmail.com>

Diff between BIOMASS versions 2.1.2 dated 2020-06-15 and 2.1.3 dated 2020-06-25

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Package PELVIS updated to version 2.0.2 with previous version 2.0.1 dated 2020-06-10

Title: Probabilistic Sex Estimate using Logistic Regression, Based on VISual Traits of the Human Os Coxae
Description: An R-Shiny application implementing a method of sexing the human os coxae based on logistic regressions and Bruzek's nonmetric traits <doi:10.1002/ajpa.23855>.
Author: Frédéric Santos [aut, cre] (<https://orcid.org/0000-0003-1445-3871>), Élodie Bernardeau [ctb]
Maintainer: Frédéric Santos <frederic.santos@u-bordeaux.fr>

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Package mathjaxr updated to version 1.0-1 with previous version 0.8-3 dated 2020-05-08

Title: Using 'Mathjax' in Rd Files
Description: Provides 'MathJax' and macros to enable its use within Rd files for rendering equations in the HTML help files.
Author: Wolfgang Viechtbauer [aut, cre] (<https://orcid.org/0000-0003-3463-4063>)
Maintainer: Wolfgang Viechtbauer <wvb@wvbauer.com>

Diff between mathjaxr versions 0.8-3 dated 2020-05-08 and 1.0-1 dated 2020-06-25

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Package eph updated to version 0.4.0 with previous version 0.3.1 dated 2020-05-24

Title: Argentina's Permanent Household Survey Data and Manipulation Utilities
Description: Tools to download and manipulate the Permanent Household Survey from Argentina (EPH is the Spanish acronym for Permanent Household Survey). e.g: get_microdata() for downloading the datasets, get_poverty_lines() for downloading the official poverty baskets, calculate_poverty() for the calculation of stating if a household is in poverty or not, following the official methodology. organize_panels() is used to concatenate observations from different periods, and organize_labels() adds the official labels to the data. The implemented methods are based on INDEC (2016) <http://www.estadistica.ec.gba.gov.ar/dpe/images/SOCIEDAD/EPH_metodologia_22_pobreza.pdf>. As this package works with the argentinian Permanent Household Survey and its main audience is from this country, the documentation was written in Spanish.
Author: Diego Kozlowski [aut, cre] (<https://orcid.org/0000-0002-5396-3471>), Pablo Tiscornia [aut], Guido Weksler [aut], Natsumi Shokida [aut], German Rosati [aut] (<https://orcid.org/0000-0002-9775-0435>)
Maintainer: Diego Kozlowski <diegokoz92@gmail.com>

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Package covatest updated to version 1.1.3 with previous version 1.1.2 dated 2020-02-28

Title: Tests on Properties of Space-Time Covariance Functions
Description: Tests on properties of space-time covariance functions. Tests on symmetry, separability and for assessing different forms of non-separability are available. Moreover tests on some classes of covariance functions, such that the classes of product-sum models, Gneiting models and integrated product models have been provided. It is the companion R package to the papers of Cappello, C., De Iaco, S., Posa, D., 2018, Testing the type of non-separability and some classes of space-time covariance function models <doi:10.1007/s00477-017-1472-2> and Cappello, C., De Iaco, S., Posa, D., 2020, covatest: an R package for selecting a class of space-time covariance functions <doi:10.18637/jss.v094.i01>.
Author: Sandra De Iaco [aut, cre], Claudia Cappello [aut], Donato Posa [aut], Sabrina Maggio [ctb]
Maintainer: Sandra De Iaco <sandra.deiaco@unisalento.it>

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Package directlabels updated to version 2020.6.17 with previous version 2020.1.31 dated 2020-02-01

Title: Direct Labels for Multicolor Plots
Description: An extensible framework for automatically placing direct labels onto multicolor 'lattice' or 'ggplot2' plots. Label positions are described using Positioning Methods which can be re-used across several different plots. There are heuristics for examining "trellis" and "ggplot" objects and inferring an appropriate Positioning Method.
Author: Toby Dylan Hocking
Maintainer: Toby Dylan Hocking <toby.hocking@r-project.org>

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Package bsplus updated to version 0.1.2 with previous version 0.1.1 dated 2018-04-05

Title: Adds Functionality to the R Markdown + Shiny Bootstrap Framework
Description: The Bootstrap framework lets you add some JavaScript functionality to your web site by adding attributes to your HTML tags - Bootstrap takes care of the JavaScript <https://getbootstrap.com/javascript>. If you are using R Markdown or Shiny, you can use these functions to create collapsible sections, accordion panels, modals, tooltips, popovers, and an accordion sidebar framework (not described at Bootstrap site).
Author: Ian Lyttle [aut, cre, cph] (<https://orcid.org/0000-0001-9962-4849>), Schneider Electric [cph], Alex Shum [ctb], Emily Bosak [ctb]
Maintainer: Ian Lyttle <ian.lyttle@schneider-electric.com>

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Package bcdata updated to version 0.2.0 with previous version 0.1.2 dated 2019-12-17

Title: Search and Retrieve Data from the BC Data Catalogue
Description: Search, query, and download tabular and 'geospatial' data from the British Columbia Data Catalogue (<https://catalogue.data.gov.bc.ca/>). Search catalogue data records based on keywords, data licence, sector, data format, and B.C. government organization. View metadata directly in R, download many data formats, and query 'geospatial' data available via the B.C. government Web Feature Service ('WFS') using 'dplyr' syntax.
Author: Andy Teucher [aut, cre] (<https://orcid.org/0000-0002-7840-692X>), Sam Albers [aut, ctb] (<https://orcid.org/0000-0002-9270-7884>), Stephanie Hazlitt [aut, ctb] (<https://orcid.org/0000-0002-3161-2304>), Province of British Columbia [cph]
Maintainer: Andy Teucher <andy.teucher@gov.bc.ca>

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Package rdryad updated to version 1.0.0 with previous version 0.4.0 dated 2018-06-18

Title: Access for Dryad Web Services
Description: Interface to the Dryad "Solr" API, their "OAI-PMH" service, and fetch datasets. Dryad (<https://datadryad.org/>) is a curated host of data underlying scientific publications.
Author: Karthik Ram [aut] (<https://orcid.org/0000-0002-0233-1757>), Scott Chamberlain [aut, cre] (<https://orcid.org/0000-0003-1444-9135>), Carl Boettiger [aut] (<https://orcid.org/0000-0002-1642-628X>)
Maintainer: Scott Chamberlain <myrmecocystus@gmail.com>

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Package mvrsquared updated to version 0.1.0 with previous version 0.0.3 dated 2020-02-20

Title: Compute the Coefficient of Determination for Vector or Matrix Outcomes
Description: Compute the coefficient of determination for outcomes in n-dimensions. May be useful for multidimensional predictions (such as a multinomial model) or calculating goodness of fit from latent variable models such as probabilistic topic models like latent Dirichlet allocation or deterministic topic models like latent semantic analysis. Based on Jones (2019) <arXiv:1911.11061>.
Author: Tommy Jones [aut, cre]
Maintainer: Tommy Jones <jones.thos.w@gmail.com>

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Package eixport updated to version 0.4.7 with previous version 0.4.6 dated 2020-04-16

Title: Export Emissions to Atmospheric Models
Description: Emissions are the mass of pollutants released into the atmosphere. Air quality models need emissions data, with spatial and temporal distribution, to represent air pollutant concentrations. This package, eixport, creates inputs for the air quality models 'WRF-Chem' Grell et al (2005) <doi:10.1016/j.atmosenv.2005.04.027>, 'BRAMS-SPM' Freitas et al (2005) <doi:10.1016/j.atmosenv.2005.07.017> and 'RLINE' Snyder et al (2013) <doi:10.1016/j.atmosenv.2013.05.074>. See the eixport website (<https://atmoschem.github.io/eixport/>) for more information, documentations and examples. More details in Ibarra-Espinosa et al (2018) <doi.org/10.21105/joss.00607>.
Author: Sergio Ibarra-Espinosa [aut, cre] (<https://orcid.org/0000-0002-3162-1905>), Daniel Schuch [ctb] (<https://orcid.org/0000-0001-5977-4519>), Edmilson Freitas [ctb] (<https://orcid.org/0000-0001-8783-2747>)
Maintainer: Sergio Ibarra-Espinosa <sergio.ibarra@usp.br>

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Package RfEmpImp updated to version 2.1.5 with previous version 2.0.3 dated 2020-05-16

Title: Multiple Imputation using Chained Random Forests
Description: An R package for methods of multiple imputation using chained random forests. Implemented methods can handle missing data in mixed types of by using prediction-based or node-based conditional distributions constructed using random forests. For prediction-based imputation, the method based on the empirical distribution of out-of-bag prediction errors of random forests, and the method based on normality assumption are provided for continuous variables. And the method based on predicted probabilities is provided for categorical variables. For node-based imputation, the method based on the conditional distribution formed by the predicting nodes of random forests, and the method based on proximity measures of random forests are provided. More details of the statistical methods can be found in Hong et al. (2020) <arXiv:2004.14823>.
Author: Shangzhi Hong [aut, cre], Henry S. Lynn [ths]
Maintainer: Shangzhi Hong <shangzhi-hong@hotmail.com>

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Package MAINT.Data updated to version 2.4.0 with previous version 2.3.1 dated 2020-01-07

Title: Model and Analyse Interval Data
Description: Implements methodologies for modelling interval data by Normal and Skew-Normal distributions, considering appropriate parameterizations of the variance-covariance matrix that takes into account the intrinsic nature of interval data, and lead to four different possible configuration structures. The Skew-Normal parameters can be estimated by maximum likelihood, while Normal parameters may be estimated by maximum likelihood or robust trimmed maximum likelihood methods.
Author: Pedro Duarte Silva <psilva@porto.ucp.pt>, Paula Brito <mpbrito.fep.up.pt>
Maintainer: Pedro Duarte Silva <psilva@porto.ucp.pt>

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Package Greg updated to version 1.3.4 with previous version 1.3.3 dated 2020-03-06

Title: Regression Helper Functions
Description: Methods for manipulating regression models and for describing these in a style adapted for medical journals. Contains functions for generating an HTML table with crude and adjusted estimates, plotting hazard ratio, plotting model estimates and confidence intervals using forest plots, extending this to comparing multiple models in a single forest plots. In addition to the descriptive methods, there are add-ons for the robust covariance matrix provided by the 'sandwich' package, a function for adding non-linearities to a model, and a wrapper around the 'Epi' package's Lexis() functions for time-splitting a dataset when modeling non-proportional hazards in Cox regressions.
Author: Max Gordon [aut, cre], Reinhard Seifert [aut] (Author of original plotHR)
Maintainer: Max Gordon <max@gforge.se>

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