Fri, 10 Jul 2020

Package tibble updated to version 3.0.3 with previous version 3.0.2 dated 2020-07-07

Title: Simple Data Frames
Description: Provides a 'tbl_df' class (the 'tibble') that provides stricter checking and better formatting than the traditional data frame.
Author: Kirill Müller [aut, cre], Hadley Wickham [aut], Romain Francois [ctb], Jennifer Bryan [ctb], RStudio [cph]
Maintainer: Kirill Müller <krlmlr+r@mailbox.org>

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New package plethem with initial version 1.0.0
Package: plethem
Title: Population Life Course Exposure to Health Effects Modeling
Version: 1.0.0
Authors@R: c(person("Salil", "Pendse", email = "spendse@scitovation.com", role = c("aut", "cre")), person("Kevin","Bronson",email = "kbronson@scitovation.com",role = "aut"), person("Jeremy","Fitzpatrick",email = "jfitzpatrick@scitovation.com",role = "aut"), person("Patrick","McMullen",email = "pmcmullen@scitovation.com",role="ctb"), person("ScitoVation, LLC",role ="cph") )
Description: Functions, data and user interfaces for performing Physiologically Based Pharmacokinetic('PBPK') Modeling, In-vitro to In-vivo Extrapolation ('IVIVE') and exposure estimation. Also contains user interfaces to run models from the 'httk' package. Taken together these provide an easy to use and powerful modeling tool that can be used for all steps along the source-to-outcome continuum.All the analysis tools in the package are run as interactive applications. Check vignettes and package help for more information. Refer to the manuscript 'Population Life-course exposure to health effects model (PLETHEM): An R package for PBPK modeling' <doi: 10.1016/j.comtox.2019.100115> for more information on the models and algorithms used in the package. More information on PBPK modeling itself can be found in the book 'Physiologically Based Pharmacokinetic Modeling: Science and Applications' by Reddy et al <doi:10.1002/0471478768>.
Depends: R (>= 3.6.0)
License: MIT + file LICENSE
URL: https://github.com/ScitoVation/plethem
BugReports: https://github.com/ScitoVation/plethem/issues
Encoding: UTF-8
LazyData: true
Imports: shiny, ggplot2, shinyBS, shinyWidgets, miniUI, shinydashboard, rstudioapi, shinythemes, rhandsontable, deSolve, truncdist, reshape2, dplyr, readxl, gdata, devtools, RSQLite, formatR, plotly, magrittr, sqldf, utils, stats, DT, shinyjs, V8, httk, NonCompart, stringr, doParallel, foreach, pracma, shinybusy, data.table
Suggests: testthat, rmarkdown, knitr
RoxygenNote: 7.1.0
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2020-07-10 16:28:26 UTC; sPendse
Author: Salil Pendse [aut, cre], Kevin Bronson [aut], Jeremy Fitzpatrick [aut], Patrick McMullen [ctb], ScitoVation, LLC [cph]
Maintainer: Salil Pendse <spendse@scitovation.com>
Repository: CRAN
Date/Publication: 2020-07-10 20:50:03 UTC

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Package drat updated to version 0.1.7 with previous version 0.1.6 dated 2020-05-30

Title: 'Drat' R Archive Template
Description: Creation and use of R Repositories via helper functions to insert packages into a repository, and to add repository information to the current R session. Two primary types of repositories are support: gh-pages at GitHub, as well as local repositories on either the same machine or a local network. Drat is a recursive acronym: Drat R Archive Template.
Author: Dirk Eddelbuettel with contributions by Carl Boettiger, Neal Fultz, Sebastian Gibb, Colin Gillespie, Jan Górecki, Matt Jones, Thomas Leeper, Steven Pav, Jan Schulz, Christoph Stepper, Felix G.M. Ernst and Patrick Schratz.
Maintainer: Dirk Eddelbuettel <edd@debian.org>

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Package ypr updated to version 0.5.1 with previous version 0.5.0 dated 2020-03-18

Title: Yield Per Recruit
Description: An implementation of equilibrium-based yield per recruit methods. Yield per recruit methods can used to estimate the optimal yield for a fish population as described by Walters and Martell (2004) <isbn:0-691-11544-3>. The yield can be based on the number of fish caught (or harvested) or biomass caught for all fish or just large (trophy) individuals.
Author: Joe Thorley [aut, cre] (<https://orcid.org/0000-0002-7683-4592>), Poisson Consulting [cph, fnd]
Maintainer: Joe Thorley <joe@poissonconsulting.ca>

Diff between ypr versions 0.5.0 dated 2020-03-18 and 0.5.1 dated 2020-07-10

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Package yesno updated to version 0.1.2 with previous version 0.1.1 dated 2020-03-04

Title: Ask Yes-No Questions
Description: Asks Yes-No questions with variable or custom responses.
Author: Joe Thorley [aut, cre] (<https://orcid.org/0000-0002-7683-4592>), Hadley Wickham [aut] (<https://orcid.org/0000-0003-4757-117X>)
Maintainer: Joe Thorley <joe@poissonconsulting.ca>

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Package SwimmeR updated to version 0.3.0 with previous version 0.2.0 dated 2020-04-10

Title: Data Import, Cleaning, and Conversions for Swimming Results
Description: There are two goals for 'SwimmeR' as presently constructed. The first is reading in swimming results from html or pdf sources and returning tidy dataframes. The second is working with the resulting data. To this end 'SwimmeR' converts swimming times (performances) between the computationally useful format of seconds, reported to the 100ths place (eg 95.37), and the conventional reporting format (1:35.37) used in the swimming community, as well as providing tools for assigning team names etc. Additionally 'SwimmeR' has functions for drawing single-elimination brackets and also converts times between the various pool sizes used in competitive swimming, namely 50m length (LCM), 25m length (SCM) and 25y length (SCY).
Author: Greg Pilgrim [aut, cre] (<https://orcid.org/0000-0001-7831-442X>), Caitlin Baldwin [ctb]
Maintainer: Greg Pilgrim <gpilgrim2670@gmail.com>

Diff between SwimmeR versions 0.2.0 dated 2020-04-10 and 0.3.0 dated 2020-07-10

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Package pins updated to version 0.4.3 with previous version 0.4.2 dated 2020-07-05

Title: Pin, Discover and Share Resources
Description: Pin remote resources into a local cache to work offline, improve speed and avoid recomputing; discover and share resources in local folders, 'GitHub', 'Kaggle' or 'RStudio Connect'. Resources can be anything from 'CSV', 'JSON', or image files to arbitrary R objects.
Author: Javier Luraschi [aut, cre], RStudio [cph]
Maintainer: Javier Luraschi <javier@rstudio.com>

Diff between pins versions 0.4.2 dated 2020-07-05 and 0.4.3 dated 2020-07-10

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Package pillar updated to version 1.4.6 with previous version 1.4.5 dated 2020-07-09

Title: Coloured Formatting for Columns
Description: Provides 'pillar' and 'colonnade' generics designed for formatting columns of data using the full range of colours provided by modern terminals.
Author: Kirill Müller [aut, cre], Hadley Wickham [aut], RStudio [cph]
Maintainer: Kirill Müller <krlmlr+r@mailbox.org>

Diff between pillar versions 1.4.5 dated 2020-07-09 and 1.4.6 dated 2020-07-10

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Package phonfieldwork updated to version 0.0.7 with previous version 0.0.6 dated 2020-06-20

Title: Linguistic Phonetic Fieldwork Tools
Description: There are a lot of different typical tasks that have to be solved during phonetic research and experiments. This includes creating a presentation that will contain all stimuli, renaming and concatenating multiple sound files recorded during a session, automatic annotation in 'Praat' TextGrids (this is one of the sound annotation standards provided by 'Praat' software, see Boersma & Weenink 2018 <http://www.fon.hum.uva.nl/praat/>), creating an html table with annotations and spectrograms, and converting multiple formats ('Praat' TextGrid, 'ELAN', 'EXMARaLDA', 'Audacity', subtitles '.srt', and 'FLEx' flextext). All of these tasks can be solved by a mixture of different tools (any programming language has programs for automatic renaming, and Praat contains scripts for concatenating and renaming files, etc.). 'phonfieldwork' provides a functionality that will make it easier to solve those tasks independently of any additional tools. You can also compare the functionality with other packages: 'rPraat' <https://CRAN.R-project.org/package=rPraat>, 'textgRid' <https://CRAN.R-project.org/package=textgRid>.
Author: George Moroz [aut, cre] (<https://orcid.org/0000-0003-1990-6083>)
Maintainer: George Moroz <agricolamz@gmail.com>

Diff between phonfieldwork versions 0.0.6 dated 2020-06-20 and 0.0.7 dated 2020-07-10

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Package bubblyr updated to version 0.1.1 with previous version 0.1.0 dated 2020-06-29

Title: Beautiful Bubbles for 'shiny' and 'rmarkdown' Backgrounds
Description: Creates bubbles within 'shiny' and 'rmarkdown' backgrounds using the 'bubbly-bg' 'JavaScript' library.
Author: Mohamed El Fodil Ihaddaden [aut, cre], David Åse [cph] (bubbly-bg library)
Maintainer: Mohamed El Fodil Ihaddaden <ihaddaden.fodeil@gmail.com>

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New package gen3sis with initial version 1.0
Package: gen3sis
Type: Package
Title: General Engine for Eco-Evolutionary Simulations
Version: 1.0
Authors@R: c( person("ETH Zürich", role=c("cph")), person("Oskar", "Hagen", email = "oskar@hagen.bio", role = c("aut", "cre"), comment = "Landscape Ecology, WSL and ETH Zürich, Switzerland"), person("Benjamin", "Flueck", email="benjamin.flueck@alumni.ethz.ch", role = c("aut"), comment = "Landscape Ecology, WSL and ETH Zürich, Switzerland"), person("Fabian", "Fopp", email="fabian.fopp@usys.ethz.ch", role = c("aut"), comment = "Landscape Ecology, WSL and ETH Zürich, Switzerland"), person(c("Juliano","S."), "Cabral", email = "juliano.sarmento_cabral@uni-wuerzburg.de", role = c("aut"), comment = "Ecosystem Modeling, Center for Computational and Theoretical Biology, University of Würzburg, Würzburg, Germany"), person("Florian", "Hartig", email = "florian.hartig@biologie.uni-regensburg.de", role = c("aut"), comment = "Theoretical Ecology, University of Regensburg, Regensburg, Germany"), person("Mikael", "Pontarp", email = "mikael.pontarp@biol.lu.se", role = c("aut"), comment = "Department of Biology, Lund University, Lund, Sweden"), person("Charles", "Novaes de Santana ", email = "charles.novaes@usys.ethz.ch", role = c("ctb"), comment = "Landscape Ecology, WSL and ETH Zürich, Switzerland"), person(c("Thiago", "F."), "Rangel", email = "rangel.tf@gmail.com", role = c("aut"), comment = "Department of Ecology, Universidade Federal de Goiás, Goiás, Brazil"), person("Theo", "Gaboriau", email = "theo.gaboriau@unil.ch", role = c("ctb"), comment = "Depatment of Computational Biology, Lausanne University, Switzerland"), person("Loïc", "Pellissier", email = "loic.pellissier@usys.ethz.ch", role = c("aut","ths"), comment = "Landscape Ecology, WSL and ETH Zürich, Switzerland"))
Description: Contains an engine for spatially-explicit eco-evolutionary mechanistic models with a modular implementation and several support functions. It allows exploring the consequences of ecological and macroevolutionary processes across realistic or theoretical spatio-temporal landscapes on biodiversity patterns as a general term.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0)
Imports: Rcpp (>= 0.12.16), Matrix, methods, utils, raster, gdistance, sp, stringr, tools, grDevices
Suggests: knitr, testthat (>= 2.1.0), rmarkdown
LinkingTo: Rcpp, BH
URL: https://github.com/project-Gen3sis/R-package
BugReports: https://github.com/project-Gen3sis/R-package/issues
RoxygenNote: 7.1.1
VignetteBuilder: knitr
SystemRequirements: C++11
NeedsCompilation: yes
Packaged: 2020-07-09 12:43:57 UTC; ohagen
Author: ETH Zürich [cph], Oskar Hagen [aut, cre] (Landscape Ecology, WSL and ETH Zürich, Switzerland), Benjamin Flueck [aut] (Landscape Ecology, WSL and ETH Zürich, Switzerland), Fabian Fopp [aut] (Landscape Ecology, WSL and ETH Zürich, Switzerland), Juliano S. Cabral [aut] (Ecosystem Modeling, Center for Computational and Theoretical Biology, University of Würzburg, Würzburg, Germany), Florian Hartig [aut] (Theoretical Ecology, University of Regensburg, Regensburg, Germany), Mikael Pontarp [aut] (Department of Biology, Lund University, Lund, Sweden), Charles Novaes de Santana [ctb] (Landscape Ecology, WSL and ETH Zürich, Switzerland), Thiago F. Rangel [aut] (Department of Ecology, Universidade Federal de Goiás, Goiás, Brazil), Theo Gaboriau [ctb] (Depatment of Computational Biology, Lausanne University, Switzerland), Loïc Pellissier [aut, ths] (Landscape Ecology, WSL and ETH Zürich, Switzerland)
Maintainer: Oskar Hagen <oskar@hagen.bio>
Repository: CRAN
Date/Publication: 2020-07-10 16:40:02 UTC

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Package TreeDist updated to version 1.1.1 with previous version 1.0.0 dated 2020-06-30

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

Diff between TreeDist versions 1.0.0 dated 2020-06-30 and 1.1.1 dated 2020-07-10

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Package specmine updated to version 3.0.1 with previous version 3.0.0 dated 2020-07-10

Title: Metabolomics and Spectral Data Analysis and Mining
Description: Provides a set of methods for metabolomics data analysis, including data loading in different formats, pre-processing, metabolite identification, univariate and multivariate data analysis, machine learning, feature selection and pathway analysis. Case studies can be found on the website: <http://bio.di.uminho.pt/metabolomicspackage/index.html>. This package suggests 'rcytoscapejs', a package not in mainstream repositories. If you need to install it, use: devtools::install_github('cytoscape/r-cytoscape.js@v0.0.7').
Author: Christopher Costa <chrisbcl@hotmail.com> [aut], Marcelo Maraschin <mtocsy@gmail.com> [aut], Miguel Rocha <mrocha@di.uminho.pt> [aut, cre], Sara Cardoso <saracardoso501@gmail.com> [aut], Telma Afonso <telma.afonso94@gmail.com> [aut], C. Beleites [cph], Jie Hao [cph]
Maintainer: Miguel Rocha <mrocha@di.uminho.pt>

Diff between specmine versions 3.0.0 dated 2020-07-10 and 3.0.1 dated 2020-07-10

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Package SLOPE updated to version 0.3.2 with previous version 0.3.0 dated 2020-07-02

Title: Sorted L1 Penalized Estimation
Description: Efficient implementations for Sorted L-One Penalized Estimation (SLOPE): generalized linear models regularized with the sorted L1-norm (Bogdan et al. (2015) <doi:10/gfgwzt>). Supported models include ordinary least-squares regression, binomial regression, multinomial regression, and Poisson regression. Both dense and sparse predictor matrices are supported. In addition, the package features predictor screening rules that enable fast and efficient solutions to high-dimensional problems.
Author: Johan Larsson [aut, cre] (<https://orcid.org/0000-0002-4029-5945>), Jonas Wallin [aut] (<https://orcid.org/0000-0003-0381-6593>), Malgorzata Bogdan [aut], Ewout van den Berg [aut], Chiara Sabatti [aut], Emmanuel Candes [aut], Evan Patterson [aut], Weijie Su [aut], Jerome Friedman [ctb] (code adapted from 'glmnet'), Trevor Hastie [ctb] (code adapted from 'glmnet'), Rob Tibshirani [ctb] (code adapted from 'glmnet'), Balasubramanian Narasimhan [ctb] (code adapted from 'glmnet'), Noah Simon [ctb] (code adapted from 'glmnet'), Junyang Qian [ctb] (code adapted from 'glmnet'), Akarsh Goyal [ctb]
Maintainer: Johan Larsson <johan.larsson@stat.lu.se>

Diff between SLOPE versions 0.3.0 dated 2020-07-02 and 0.3.2 dated 2020-07-10

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Package qtl2 updated to version 0.22-11 with previous version 0.22-8 dated 2020-06-26

Title: Quantitative Trait Locus Mapping in Experimental Crosses
Description: Provides a set of tools to perform quantitative trait locus (QTL) analysis in experimental crosses. It is a reimplementation of the 'R/qtl' package to better handle high-dimensional data and complex cross designs. Broman et al. (2018) <doi:10.1534/genetics.118.301595>.
Author: Karl W Broman [aut, cre] (<https://orcid.org/0000-0002-4914-6671>), R Core Team [ctb]
Maintainer: Karl W Broman <broman@wisc.edu>

Diff between qtl2 versions 0.22-8 dated 2020-06-26 and 0.22-11 dated 2020-07-10

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Package partykit updated to version 1.2-9 with previous version 1.2-8 dated 2020-06-10

Title: A Toolkit for Recursive Partytioning
Description: A toolkit with infrastructure for representing, summarizing, and visualizing tree-structured regression and classification models. This unified infrastructure can be used for reading/coercing tree models from different sources ('rpart', 'RWeka', 'PMML') yielding objects that share functionality for print()/plot()/predict() methods. Furthermore, new and improved reimplementations of conditional inference trees (ctree()) and model-based recursive partitioning (mob()) from the 'party' package are provided based on the new infrastructure. A description of this package was published by Hothorn and Zeileis (2015) <http://jmlr.org/papers/v16/hothorn15a.html>.
Author: Torsten Hothorn [aut, cre] (<https://orcid.org/0000-0001-8301-0471>), Heidi Seibold [ctb] (<https://orcid.org/0000-0002-8960-9642>), Achim Zeileis [aut] (<https://orcid.org/0000-0003-0918-3766>)
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

Diff between partykit versions 1.2-8 dated 2020-06-10 and 1.2-9 dated 2020-07-10

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Package mixl updated to version 1.2.0 with previous version 1.1.2 dated 2020-03-21

Title: Simulated Maximum Likelihood Estimation of Mixed Logit Models for Large Datasets
Description: Specification and estimation of multinomial logit models. Large datasets and complex models are supported, with an intuitive syntax. Multinomial Logit Models, Mixed models, random coefficients and Hybrid Choice are all supported. For more information, see Molloy et al. (2019) <doi:10.3929/ethz-b-000334289>.
Author: Joseph Molloy [aut, cre]
Maintainer: Joseph Molloy <joseph.molloy@ivt.baug.ethz.ch>

Diff between mixl versions 1.1.2 dated 2020-03-21 and 1.2.0 dated 2020-07-10

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Package miceFast updated to version 0.6.2 with previous version 0.6.1 dated 2020-07-06

Title: Fast Imputations Using 'Rcpp' and 'Armadillo'
Description: Fast imputations under the object-oriented programming paradigm. Moreover there are offered a few functions built to work with popular R packages such as 'data.table' or 'dplyr'. The biggest improvement in time performance could be achieve for a calculation where a grouping variable have to be used. A single evaluation of a quantitative model for the multiple imputations is another major enhancement. A new major improvement is one of the fastest predictive mean matching in the R world because of presorting and binary search.
Author: Maciej Nasinski [aut, cre]
Maintainer: Maciej Nasinski <nasinski.maciej@gmail.com>

Diff between miceFast versions 0.6.1 dated 2020-07-06 and 0.6.2 dated 2020-07-10

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Package EPX updated to version 1.0.1 with previous version 1.0.0 dated 2020-07-03

Title: Ensemble of Phalanxes
Description: An ensemble method for the statistical detection of a rare class in two-class classification problems. The method uses an ensemble of classifiers where the constituent models of the ensemble use disjoint subsets (phalanxes) of explanatory variables. We provide an implementation of the phalanx-formation algorithm. Please see Tomal et al. (2015) <doi:10.1214/14-AOAS778>, Tomal et al. (2016) <doi:10.1021/acs.jcim.5b00663>, and Tomal et al. (2019) <arXiv:1706.06971> for more details.
Author: Jabed Tomal [aut, cre], Grace Hsu [aut], William Welch [aut], Marcia Wang [ctb]
Maintainer: Jabed Tomal <jtomal@tru.ca>

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Package emdi updated to version 2.0.1 with previous version 2.0.0 dated 2020-07-07

Title: Estimating and Mapping Disaggregated Indicators
Description: Functions that support estimating, assessing and mapping regional disaggregated indicators. So far, estimation methods comprise direct estimation, the model-based unit-level approach Empirical Best Prediction (see "Small area estimation of poverty indicators" by Molina and Rao (2010) <doi:10.1002/cjs.10051>), the area-level model (see "Estimates of income for small places: An application of James-Stein procedures to Census Data" by (Fay and Herriot 1979) <doi:10.1080/01621459.1979.10482505>) and various extensions of it (adjusted variance estimation methods, log and arcsin transformation, spatial, robust and measurement error models), as well as their precision estimates. The assessment of the used model is supported by a summary and diagnostic plots. For a suitable presentation of estimates, map plots can be easily created. Furthermore, results can easily be exported to excel. For a detailed description of the package and the methods used see "The {R} Package {emdi} for Estimating and Mapping Regionally Disaggregated Indicators" by Kreutzmann et al. (2019) <doi:10.18637/jss.v091.i07>.
Author: Sylvia Harmening [aut], Ann-Kristin Kreutzmann [aut], Soeren Pannier [aut, cre], Natalia Rojas-Perilla [aut], Nicola Salvati [aut], Timo Schmid [aut], Matthias Templ [aut], Nikos Tzavidis [aut], Nora Würz [aut]
Maintainer: Soeren Pannier <soeren.pannier@fu-berlin.de>

Diff between emdi versions 2.0.0 dated 2020-07-07 and 2.0.1 dated 2020-07-10

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Package DescTools updated to version 0.99.37 with previous version 0.99.36 dated 2020-05-23

Title: Tools for Descriptive Statistics
Description: A collection of miscellaneous basic statistic functions and convenience wrappers for efficiently describing data. The author's intention was to create a toolbox, which facilitates the (notoriously time consuming) first descriptive tasks in data analysis, consisting of calculating descriptive statistics, drawing graphical summaries and reporting the results. The package contains furthermore functions to produce documents using MS Word (or PowerPoint) and functions to import data from Excel. Many of the included functions can be found scattered in other packages and other sources written partly by Titans of R. The reason for collecting them here, was primarily to have them consolidated in ONE instead of dozens of packages (which themselves might depend on other packages which are not needed at all), and to provide a common and consistent interface as far as function and arguments naming, NA handling, recycling rules etc. are concerned. Google style guides were used as naming rules (in absence of convincing alternatives). The 'BigCamelCase' style was consequently applied to functions borrowed from contributed R packages as well.
Author: Andri Signorell [aut, cre], Ken Aho [ctb], Andreas Alfons [ctb], Nanina Anderegg [ctb], Tomas Aragon [ctb], Antti Arppe [ctb], Adrian Baddeley [ctb], Kamil Barton [ctb], Ben Bolker [ctb], Hans W. Borchers [ctb], Frederico Caeiro [ctb], Stephane Champely [ctb], Daniel Chessel [ctb], Leanne Chhay [ctb], Clint Cummins [ctb], Michael Dewey [ctb], Harold C. Doran [ctb], Stephane Dray [ctb], Charles Dupont [ctb], Dirk Eddelbuettel [ctb], Jeff Enos [ctb], Claus Ekstrom [ctb], Martin Elff [ctb], Richard W. Farebrother [ctb], John Fox [ctb], Romain Francois [ctb], Michael Friendly [ctb], Tal Galili [ctb], Matthias Gamer [ctb], Joseph L. Gastwirth [ctb], Yulia R. Gel [ctb], Vilmantas Gegzna [ctb], Juergen Gross [ctb], Gabor Grothendieck [ctb], Frank E. Harrell Jr [ctb], Richard Heiberger [ctb], Michael Hoehle [ctb], Christian W. Hoffmann [ctb], Soeren Hojsgaard [ctb], Torsten Hothorn [ctb], Markus Huerzeler [ctb], Wallace W. Hui [ctb], Pete Hurd [ctb], Rob J. Hyndman [ctb], Pablo J. Villacorta Iglesias [ctb], Christopher Jackson [ctb], Matthias Kohl [ctb], Mikko Korpela [ctb], Max Kuhn [ctb], Detlew Labes [ctb], Duncan Temple Lang [ctb], Friederich Leisch [ctb], Jim Lemon [ctb], Dong Li [ctb], Martin Maechler [ctb], Arni Magnusson [ctb], Ben Mainwaring [ctb], Daniel Malter [ctb], George Marsaglia [ctb], John Marsaglia [ctb], Alina Matei [ctb], David Meyer [ctb], Weiwen Miao [ctb], Giovanni Millo [ctb], Yongyi Min [ctb], David Mitchell [ctb], Franziska Mueller [ctb], Markus Naepflin [ctb], Daniel Navarro [ctb], Henric Nilsson [ctb], Klaus Nordhausen [ctb], Derek Ogle [ctb], Hong Ooi [ctb], Nick Parsons [ctb], Sandrine Pavoine [ctb], Tony Plate [ctb], Roland Rapold [ctb], William Revelle [ctb], Tyler Rinker [ctb], Brian D. Ripley [ctb], Caroline Rodriguez [ctb], Nathan Russell [ctb], Nick Sabbe [ctb], Venkatraman E. Seshan [ctb], Greg Snow [ctb], Michael Smithson [ctb], Karline Soetaert [ctb], Werner A. Stahel [ctb], Alec Stephenson [ctb], Mark Stevenson [ctb], Ralf Stubner [ctb], Matthias Templ [ctb], Terry Therneau [ctb], Yves Tille [ctb], Luis Torgo [ctb], Adrian Trapletti [ctb], Joshua Ulrich [ctb], Kevin Ushey [ctb], Jeremy VanDerWal [ctb], Bill Venables [ctb], John Verzani [ctb], Gregory R. Warnes [ctb], Stefan Wellek [ctb], Hadley Wickham [ctb], Rand R. Wilcox [ctb], Peter Wolf [ctb], Daniel Wollschlaeger [ctb], Joseph Wood [ctb], Ying Wu [ctb], Thomas Yee [ctb], Achim Zeileis [ctb]
Maintainer: Andri Signorell <andri@signorell.net>

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 35 files changed, 1767 insertions(+), 721 deletions(-)

More information about DescTools at CRAN
Permanent link

Package BCRA updated to version 2.1.2 with previous version 2.1.1 dated 2020-06-18

Title: Breast Cancer Risk Assessment
Description: Functions provide risk projections of invasive breast cancer based on Gail model according to National Cancer Institute's Breast Cancer Risk Assessment Tool algorithm for specified race/ethnic groups and age intervals. Gail MH, Brinton LA, et al (1989) <doi:10.1093/jnci/81.24.1879>. Marthew PB, Gail MH, et al (2016) <doi:10.1093/jnci/djw215>.
Author: Fanni Zhang
Maintainer: Fanni Zhang <rstatpackages@gmail.com>

Diff between BCRA versions 2.1.1 dated 2020-06-18 and 2.1.2 dated 2020-07-10

 DESCRIPTION         |   14 ++++++++------
 MD5                 |    6 +++---
 R/recode.check.R    |    2 +-
 man/BCRA-package.Rd |    4 ++--
 4 files changed, 14 insertions(+), 12 deletions(-)

More information about BCRA at CRAN
Permanent link

Package GenBinomApps updated to version 1.1 with previous version 1.0-2 dated 2014-06-30

Title: Clopper-Pearson Confidence Interval and Generalized Binomial Distribution
Description: Density, distribution function, quantile function and random generation for the Generalized Binomial Distribution. Functions to compute the Clopper-Pearson Confidence Interval and the required sample size. Enhanced model for burn-in studies, where failures are tackled by countermeasures.
Author: Horst Lewitschnig, David Lenzi
Maintainer: Horst Lewitschnig <Horst.Lewitschnig@infineon.com>

Diff between GenBinomApps versions 1.0-2 dated 2014-06-30 and 1.1 dated 2020-07-10

 DESCRIPTION |    8 ++++----
 MD5         |    6 +++---
 NAMESPACE   |    1 +
 R/dgbinom.R |    2 +-
 4 files changed, 9 insertions(+), 8 deletions(-)

More information about GenBinomApps at CRAN
Permanent link

New package newFocus with initial version 1.0
Package: newFocus
Type: Package
Title: True Discovery Guarantee by the New Focus Level Procedure
Version: 1.0
Date: 2020-07-09
Author: Ningning Xu
Maintainer: Ningning Xu <n.xu@lumc.nl>
Description: A new focus level procedure is developed based on the old focus level procedure of Goeman and Mansmann (2008) <doi:10.1093/bioinformatics/btm628> and the closed testing procedure with globaltest of Xu and Goeman (2020) <arXiv:2001.01541>. It produces the lower bound for the number of true discoveries in any gene set or GO (Gene Ontology) term. It is more powerful for the focus level GO terms chosen by user before seeing the data than the non-focus level GO terms or gene sets chosen after seeing the data.
License: GPL (>= 2)
Depends: ctgt
NeedsCompilation: no
Packaged: 2020-07-10 09:50:32 UTC; nxu
Repository: CRAN
Date/Publication: 2020-07-10 13:40:03 UTC

More information about newFocus at CRAN
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Package KeyboardSimulator updated to version 2.5.1 with previous version 2.5.0 dated 2020-04-14

Title: Keyboard and Mouse Input Simulation for Windows OS
Description: Control your keyboard and mouse with R code by simulating key presses and mouse clicks. The input simulation is implemented with the Windows API.
Author: Jim Chen [aut, cre], Jeff Keller [aut, ctb], Garry Hopwood [ctb], Chieh Hsu [ctb]
Maintainer: Jim Chen <jim71183@gmail.com>

Diff between KeyboardSimulator versions 2.5.0 dated 2020-04-14 and 2.5.1 dated 2020-07-10

 DESCRIPTION |   10 +++++-----
 MD5         |    8 ++++----
 NEWS        |    5 +++++
 R/main.R    |   22 ++++++++++++++++++----
 README.md   |    2 +-
 5 files changed, 33 insertions(+), 14 deletions(-)

More information about KeyboardSimulator at CRAN
Permanent link

Package sweep updated to version 0.2.3 with previous version 0.2.2 dated 2019-10-08

Title: Tidy Tools for Forecasting
Description: Tidies up the forecasting modeling and prediction work flow, extends the 'broom' package with 'sw_tidy', 'sw_glance', 'sw_augment', and 'sw_tidy_decomp' functions for various forecasting models, and enables converting 'forecast' objects to "tidy" data frames with 'sw_sweep'.
Author: Matt Dancho [aut, cre], Davis Vaughan [aut]
Maintainer: Matt Dancho <mdancho@business-science.io>

Diff between sweep versions 0.2.2 dated 2019-10-08 and 0.2.3 dated 2020-07-10

 DESCRIPTION                                       |   15 
 MD5                                               |   74 +--
 NAMESPACE                                         |    3 
 NEWS.md                                           |   10 
 R/global_vars.R                                   |    2 
 R/sw_augment.R                                    |    2 
 R/sw_sweep.R                                      |    6 
 R/sweep-package.R                                 |    4 
 R/tidiers_arima.R                                 |    2 
 R/tidiers_ets.R                                   |    2 
 R/tidiers_robets.R                                |    2 
 R/tidiers_stl.R                                   |   83 +++
 R/utils-broom.R                                   |   21 
 README.md                                         |    6 
 build/vignette.rds                                |binary
 inst/doc/SW00_Introduction_to_sweep.R             |   40 -
 inst/doc/SW00_Introduction_to_sweep.html          |  385 +++++++++--------
 inst/doc/SW01_Forecasting_Time_Series_Groups.R    |   34 -
 inst/doc/SW01_Forecasting_Time_Series_Groups.html |  485 +++++++++++-----------
 inst/doc/SW02_Forecasting_Multiple_Models.R       |   46 +-
 inst/doc/SW02_Forecasting_Multiple_Models.html    |  411 +++++++++---------
 man/arima_string.Rd                               |    2 
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 man/bike_sales.Rd                                 |    6 
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 man/sweep_package.Rd                              |    6 
 man/tbats_string.Rd                               |    2 
 man/tidiers_HoltWinters.Rd                        |    6 
 man/tidiers_StructTS.Rd                           |    3 
 man/tidiers_arima.Rd                              |   16 
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 man/tidiers_ets.Rd                                |    6 
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 man/tidiers_robets.Rd                             |    6 
 man/tidiers_stl.Rd                                |   43 +
 tests/testthat/test_tidiers_lm.R                  |    4 
 38 files changed, 992 insertions(+), 760 deletions(-)

More information about sweep at CRAN
Permanent link

Package strvalidator updated to version 2.3.0 with previous version 2.2.0 dated 2019-03-22

Title: Process Control and Internal Validation of Forensic STR Kits
Description: An open source platform for validation and process control. Tools to analyze data from internal validation of forensic short tandem repeat (STR) kits are provided. The tools are developed to provide the necessary data to conform with guidelines for internal validation issued by the European Network of Forensic Science Institutes (ENFSI) DNA Working Group, and the Scientific Working Group on DNA Analysis Methods (SWGDAM). A front-end graphical user interface is provided. More information about each function can be found in the respective help documentation.
Author: Oskar Hansson
Maintainer: Oskar Hansson <oskhan@ous-hf.no>

Diff between strvalidator versions 2.2.0 dated 2019-03-22 and 2.3.0 dated 2020-07-10

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Package tbl2xts updated to version 1.0.0 with previous version 0.1.3 dated 2019-08-01

Title: Convert Tibbles or Data Frames to Xts Easily
Description: Facilitate the movement between data frames to 'xts'. Particularly useful when moving from 'tidyverse' to the widely used 'xts' package, which is the input format of choice to various other packages. It also allows the user to use a 'spread_by' argument for a character column 'xts' conversion.
Author: Nico Katzke [aut, cre]
Maintainer: Nico Katzke <nfkatzke@gmail.com>

Diff between tbl2xts versions 0.1.3 dated 2019-08-01 and 1.0.0 dated 2020-07-10

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Package metacart updated to version 2.0-3 with previous version 2.0-2 dated 2019-12-06

Title: Meta-CART: A Flexible Approach to Identify Moderators in Meta-Analysis
Description: Meta-CART integrates classification and regression trees (CART) into meta-analysis. Meta-CART is a flexible approach to identify interaction effects between moderators in meta-analysis. The method is described in Dusseldorp et al. (2014) <doi:10.1037/hea0000018> and Li et al. (2017) <doi:10.1111/bmsp.12088>.
Author: Xinru Li [aut, cre], Elise Dusseldorp [aut, cph], Kaihua Liu [ctb] (supported with the plot function), Juan Claramunt [ctb], Jacqueline Meulman [ctb]
Maintainer: Juan Claramunt <j.claramunt.gonzalez@fsw.leidenuniv.nl>

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Package bootImpute updated to version 1.1.0 with previous version 1.0.0 dated 2019-07-18

Title: Bootstrap Inference for Multiple Imputation
Description: Bootstraps and imputes incomplete datasets. Then performs inference on estimates obtained from analysing the imputed datasets as proposed by von Hippel and Bartlett (2019) <arXiv:1210.0870v10>.
Author: Jonathan Bartlett
Maintainer: Jonathan Bartlett <j.w.bartlett@bath.ac.uk>

Diff between bootImpute versions 1.0.0 dated 2019-07-18 and 1.1.0 dated 2020-07-10

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Package VALERIE updated to version 1.1.0 with previous version 1.0.0 dated 2020-02-11

Title: Visualising Splicing at Single-Cell Resolution
Description: Alternative splicing produces a variety of different protein products from a given gene. 'VALERIE' enables visualisation of alternative splicing events from high-throughput single-cell RNA-sequencing experiments. 'VALERIE' computes percent spliced-in (PSI) values for user-specified genomic coordinates corresponding to alternative splicing events. PSI is the proportion of sequencing reads supporting the included exon/intron as defined by Shiozawa (2018) <doi:10.1038/s41467-018-06063-x>. PSI are inferred from sequencing reads data based on specialised infrastructures for representing and computing annotated genomic ranges by Lawrence (2013) <doi:10.1371/journal.pcbi.1003118>. Computed PSI for each single cell are subsequently presented in the form of a heatmap implemented using the 'pheatmap' package by Kolde (2010) <https://CRAN.R-project.org/package=pheatmap>. Board overview of the mean PSI difference and associated p-values across different user-defined groups of single cells are presented in the form of a line graph using the 'ggplot2' package by Wickham (2007) <https://CRAN.R-project.org/package=ggplot2>.
Author: Sean Wen
Maintainer: Sean Wen <sean.wenwx@gmail.com>

Diff between VALERIE versions 1.0.0 dated 2020-02-11 and 1.1.0 dated 2020-07-10

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New package specmine with initial version 3.0.0
Package: specmine
Type: Package
Title: Metabolomics and Spectral Data Analysis and Mining
Version: 3.0.0
Date: 2020-07-10
Author: Christopher Costa <chrisbcl@hotmail.com> [aut], Marcelo Maraschin <mtocsy@gmail.com> [aut], Miguel Rocha <mrocha@di.uminho.pt> [aut, cre], Sara Cardoso <saracardoso501@gmail.com> [aut], Telma Afonso <telma.afonso94@gmail.com> [aut], C. Beleites [cph], Jie Hao [cph]
Maintainer: Miguel Rocha <mrocha@di.uminho.pt>
Depends: R (>= 4.0.0)
SystemRequirements: Python (>=3.5.2) and the following python module: nmrglue.
Imports: hyperSpec, caret, ggplot2, impute, ellipse, GGally, pcaPP, compare, baseline, MASS, pls, readJDX, speaq, gdata, genefilter, RColorBrewer, grDevices, graphics, methods, stats, utils, Metrics
Suggests: ggdendro, reticulate, qdap, scatterplot3d, MAIT, xcms, KEGGgraph, KEGGREST, rcytoscapejs, rgl, grid, curl, RCurl
LazyData: true
Description: Provides a set of methods for metabolomics data analysis, including data loading in different formats, pre-processing, metabolite identification, univariate and multivariate data analysis, machine learning, feature selection and pathway analysis. Case studies can be found on the website: <http://bio.di.uminho.pt/metabolomicspackage/index.html>. This package suggests 'rcytoscapejs', a package not in mainstream repositories. If you need to install it, use: devtools::install_github('cytoscape/r-cytoscape.js@v0.0.7').
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2020-07-10 08:52:05 UTC; saracardoso
Repository: CRAN
Date/Publication: 2020-07-10 10:10:02 UTC

More information about specmine at CRAN
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Package SmartEDA updated to version 0.3.6 with previous version 0.3.5 dated 2020-04-25

Title: Summarize and Explore the Data
Description: Exploratory analysis on any input data describing the structure and the relationships present in the data. The package automatically select the variable and does related descriptive statistics. Analyzing information value, weight of evidence, custom tables, summary statistics, graphical techniques will be performed for both numeric and categorical predictors.
Author: Dayanand Ubrangala [aut, cre], Kiran R [aut, ctb], Ravi Prasad Kondapalli [aut, ctb], Sayan Putatunda [aut, ctb]
Maintainer: Dayanand Ubrangala <daya6489@gmail.com>

Diff between SmartEDA versions 0.3.5 dated 2020-04-25 and 0.3.6 dated 2020-07-10

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Package rtide updated to version 0.0.8 with previous version 0.0.7 dated 2020-03-18

Title: Tide Heights
Description: Calculates tide heights based on tide station harmonics. It includes the harmonics data for 637 US stations. The harmonics data was converted from <https://github.com/poissonconsulting/rtide/blob/master/data-raw/harmonics-dwf-20151227-free.tar.bz2>, NOAA web site data processed by David Flater for 'XTide'. The code to calculate tide heights from the harmonics is based on 'XTide'.
Author: Joe Thorley [aut, cre] (<https://orcid.org/0000-0002-7683-4592>), Luke Miller [aut], Abram Fleishman [aut], Poisson Consulting [cph]
Maintainer: Joe Thorley <joe@poissonconsulting.ca>

Diff between rtide versions 0.0.7 dated 2020-03-18 and 0.0.8 dated 2020-07-10

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Package readODS updated to version 1.7.0 with previous version 1.6.7 dated 2018-11-26

Title: Read and Write ODS Files
Description: Import ODS (OpenDocument Spreadsheet) into R as a data frame. Also support writing data frame into ODS file.
Author: Gerrit-Jan Schutten, Chung-hong Chan, Thomas J. Leeper, John Foster, and other contributors
Maintainer: Chung-hong Chan <chainsawtiney@gmail.com>

Diff between readODS versions 1.6.7 dated 2018-11-26 and 1.7.0 dated 2020-07-10

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Package PreciseSums updated to version 0.4 with previous version 0.3 dated 2018-04-12

Title: Accurate Floating Point Sums and Products
Description: Most of the time floating point arithmetic does approximately the right thing. When adding sums or having products of numbers that greatly differ in magnitude, the floating point arithmetic may be incorrect. This package implements the Kahan (1965) sum <doi:10.1145/363707.363723>, Neumaier (1974) sum <doi:10.1002/zamm.19740540106>, pairwise-sum (adapted from 'NumPy', See Castaldo (2008) <doi:10.1137/070679946> for a discussion of accuracy), and arbitrary precision sum (adapted from the fsum in 'Python' ; Shewchuk (1997) <http://www.cs.berkeley.edu/~jrs/papers/robustr.pdf>). In addition, products are changed to long double precision for accuracy, or changed into a log-sum for accuracy.
Author: Matthew Fidler [aut, cre, cph], Raymond Hettinger [cph, aut], Jonathan Shewchuk [cph, aut], Julian Taylor [cph, aut], Nathaniel Smith [cph, aut], NumPy Team [cph], Python Team [cph]
Maintainer: Matthew Fidler <matthew.fidler@gmail.com>

Diff between PreciseSums versions 0.3 dated 2018-04-12 and 0.4 dated 2020-07-10

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Package parSim updated to version 0.1.4 with previous version 0.1.1 dated 2019-06-21

Title: Parallel Simulation Studies
Description: Perform flexible simulation studies using one or multiple computer cores. The package is set up to be usable on high-performance clusters in addition to being run locally, see examples on <https://github.com/SachaEpskamp/parSim>.
Author: Sacha Epskamp
Maintainer: Sacha Epskamp <mail@sachaepskamp.com>

Diff between parSim versions 0.1.1 dated 2019-06-21 and 0.1.4 dated 2020-07-10

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Package faoutlier updated to version 0.7.4 with previous version 0.7.2 dated 2017-07-22

Title: Influential Case Detection Methods for Factor Analysis and Structural Equation Models
Description: Tools for detecting and summarize influential cases that can affect exploratory and confirmatory factor analysis models as well as structural equation models more generally (Chalmers, 2015, <doi:10.1177/0146621615597894>; Flora, D. B., LaBrish, C. & Chalmers, R. P., 2012, <10.3389/fpsyg.2012.00055>).
Author: Phil Chalmers [aut, cre]
Maintainer: Phil Chalmers <rphilip.chalmers@gmail.com>

Diff between faoutlier versions 0.7.2 dated 2017-07-22 and 0.7.4 dated 2020-07-10

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Package EBPRS updated to version 2.0.4 with previous version 2.0.3 dated 2020-02-12

Title: Derive Polygenic Risk Score Based on Emprical Bayes Theory
Description: EB-PRS is a novel method that leverages information for effect sizes across all the markers to improve the prediction accuracy. No parameter tuning is needed in the method, and no external information is needed. This R-package provides the calculation of polygenic risk scores from the given training summary statistics and testing data. We can use EB-PRS to extract main information, estimate Empirical Bayes parameters, derive polygenic risk scores for each individual in testing data, and evaluate the PRS according to AUC and predictive r2. See Song et al. (2020) <doi:10.1371/journal.pcbi.1007565> for a detailed presentation of the method.
Author: Shuang Song [aut, cre], Wei Jiang [aut], Lin Hou [aut] and Hongyu Zhao [aut]
Maintainer: Shuang Song <song-s19@mails.tsinghua.edu.cn>

Diff between EBPRS versions 2.0.3 dated 2020-02-12 and 2.0.4 dated 2020-07-10

 DESCRIPTION  |    6 +++---
 MD5          |    6 +++---
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Package dttr2 updated to version 0.3.0 with previous version 0.2.0 dated 2020-05-01

Title: Manipulate Date, POSIXct and hms Vectors
Description: Manipulates date ('Date'), date time ('POSIXct') and time ('hms') vectors. Date/times are considered discrete and are floored whenever encountered. Times are wrapped and time zones are maintained unless explicitly altered by the user.
Author: Joe Thorley [aut, cre] (<https://orcid.org/0000-0002-7683-4592>), Poisson Consulting [cph, fnd]
Maintainer: Joe Thorley <joe@poissonconsulting.ca>

Diff between dttr2 versions 0.2.0 dated 2020-05-01 and 0.3.0 dated 2020-07-10

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Package shipunov updated to version 1.10 with previous version 1.9 dated 2020-07-01

Title: Miscellaneous Functions from Alexey Shipunov
Description: A collection of functions for data manipulation, plotting and statistical computing, to use separately or with the book "Visual Statistics. Use R!": Shipunov (2020) <http://ashipunov.info/shipunov/software/r/r-en.htm>. Most useful functions: Bclust(), Jclust() and BootA() which bootstrap hierarchical clustering; Recode() which does multiple recoding in a fast, simple and flexible way; Misclass() which outputs confusion matrix even if classes are not concerted; Overlap() which measures group separation on any projection; Biarrows() which converts any scatterplot into biplot; and Pleiad() which is fast and flexible correlogram.
Author: Alexey Shipunov [aut, cre], Paul Murrell [ctb], Marcello D'Orazio [ctb], Stephen Turner [ctb], Eugeny Altshuler [ctb], Roland Rau [ctb], Marcus W Beck [ctb], Sebastian Gibb [ctb], Weiliang Qiu [ctb], Emmanuel Paradis [ctb], Roger Koenker [ctb], R Core Team [ctb]
Maintainer: Alexey Shipunov <dactylorhiza@gmail.com>

Diff between shipunov versions 1.9 dated 2020-07-01 and 1.10 dated 2020-07-10

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New package GSA.UN with initial version 1.0.0
Package: GSA.UN
Type: Package
Title: Global Sensitivity Analysis Tool
Version: 1.0.0
Authors@R: c(person("Camila", "Garcia-Echeverri", email = "cagarciae@unal.edu.co", comment = c(ORCID = "0000-0001-8227-7684"),role = c("aut", "cre")), person("Maria", "Arenas-Bautista", email = "mcarenasb@unal.edu.co", comment = c(ORCID = "0000-0003-1578-5157"), role = c("cot")), person("Leonardo", "Donado", email = "lddonadog@unal.edu.co", comment=c(ORCID = "0000-0002-5479-3419" ), role = c("cot")))
Maintainer: Camila Garcia-Echeverri <cagarciae@unal.edu.co>
Description: A tool to sensitivity analysis using SOBOL (Sobol, 1993) and AMA (Dell'Oca et al. 2017 <doi:10.5194/hess-21-6219-2017>) indices. It allows to identify the most sensitive parameter or parameters of a model.
Depends: R (>= 3.4)
Imports: stats, e1071, utils
Suggests: knitr, rmarkdown
License: GPL-2
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-07-09 20:41:30 UTC; camil
Author: Camila Garcia-Echeverri [aut, cre] (<https://orcid.org/0000-0001-8227-7684>), Maria Arenas-Bautista [cot] (<https://orcid.org/0000-0003-1578-5157>), Leonardo Donado [cot] (<https://orcid.org/0000-0002-5479-3419>)
Repository: CRAN
Date/Publication: 2020-07-10 09:40:03 UTC

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New package fastquant with initial version 0.1.2
Package: fastquant
Title: Backtest Investment Strategies with 3 Lines of Code
Version: 0.1.2
Authors@R: c(person(given = "Jose", family = "Endrinal", role = c("aut", "cre"), email = "francis.endrinal@gmail.com"), person(given = "Lorenzo", family = "Ampil", role = c("aut", "cph"), email = "lorenzo.ampil@gmail.com"), person(given = "Jerome", family = "de Leon", role = c("aut"), email = "jpdeleon.bsap@gmail.com"))
Maintainer: Jose Endrinal <francis.endrinal@gmail.com>
Description: Easily backtest investment strategies with as few as 3 lines of 'Python' or 'R' code. Its goal is to promote data driven investing in finance accessible to everyone. This version only contains functionality for pulling Philippine Stock Exchange and Yahoo Finance stock data.
License: MIT + file LICENSE
Imports: dplyr, httr, magrittr, purrr, tidyr, lubridate, assertthat, quantmod, tibble, stringr
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Suggests: testthat, spelling
Language: en-US
NeedsCompilation: no
Packaged: 2020-07-09 12:49:26 UTC; jgendrinal
Author: Jose Endrinal [aut, cre], Lorenzo Ampil [aut, cph], Jerome de Leon [aut]
Repository: CRAN
Date/Publication: 2020-07-10 09:10:09 UTC

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New package plotmm with initial version 0.1.0
Package: plotmm
Type: Package
Title: Tidy Tools for Visualizing Mixture Models
Version: 0.1.0
BugReports: https://github.com/pdwaggoner/plotmm/issues
Authors@R: c(person("Philip", "Waggoner", role = c("aut", "cre"), email = "philip.waggoner@gmail.com"), person("Fong", "Chan", role = c("aut", "ctb")), person("Lu", "Zhang", role = c("aut", "ctb")))
Maintainer: Philip Waggoner <philip.waggoner@gmail.com>
Description: The main function, plot_mm(), is used for plotting output from mixture models, including both densities and overlaying mixture weight component curves from the fit models. In line with the tidyverse, the package also includes the plot_cut_point() function to visualize the cutpoint (mu) from the model over a histogram of the data density with several color options. Finally, the package includes the plot_mix_comps() helper function, which is used for both added customization as well as in the plot_mm() function. Supported model objects include: 'mixtools', 'EMCluster', and 'flexmix', with more from each forthcoming. Supported mixture model specifications include mixtures of univariate Gaussians, multivariate Gaussians, Gammas, logistic regressions, linear regressions, and Poisson regressions.
Imports: methods, wesanderson, amerika, ggplot2, dplyr, patchwork
Suggests: mixtools, EMCluster, flexmix, testthat, graphics
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2020-07-08 14:40:38 UTC; philipwaggoner
Author: Philip Waggoner [aut, cre], Fong Chan [aut, ctb], Lu Zhang [aut, ctb]
Repository: CRAN
Date/Publication: 2020-07-10 08:40:02 UTC

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New package fhircrackr with initial version 0.1.0
Package: fhircrackr
Type: Package
Title: Handling HL7 FHIR Resources in R
Version: 0.1.0
Date: 2020-07-01
Authors@R: c( person( given = "Thomas", family = "Peschel", email = "tpeschel@imise.uni-leipzig.de", role = c("aut","cre")), person( given = "Julia", family = "Gantner", email = "julia.gantner@med.uni-jena.de", role = "aut", comment=c(ORCID = "0000-0003-1568-5893")), person( given = "Jens", family = "Przybilla", email = "jprzybilla@imise.uni-leipzig.de", role = "aut"), person( given = "Frank", family = "Meineke", email = "frank.meineke@imise.uni-leipzig.de", role = "aut", comment=c(ORCID = "0000-0002-9256-7543")))
Description: Useful tools for conveniently downloading FHIR resources in xml format and converting them to R data frames. The package uses FHIR-search to download bundles from a FHIR server, provides functions to save and read xml-files containing such bundles and allows flattening the bundles to data.frames using XPath expressions.
BugReports: https://github.com/POLAR-fhiR/fhircrackr/issues
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
Imports: xml2, stringr, httr, utils, dplyr
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Depends: R (>= 3.5.0)
NeedsCompilation: no
Packaged: 2020-07-08 13:07:01 UTC; tpeschel
Author: Thomas Peschel [aut, cre], Julia Gantner [aut] (<https://orcid.org/0000-0003-1568-5893>), Jens Przybilla [aut], Frank Meineke [aut] (<https://orcid.org/0000-0002-9256-7543>)
Maintainer: Thomas Peschel <tpeschel@imise.uni-leipzig.de>
Repository: CRAN
Date/Publication: 2020-07-10 08:30:03 UTC

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New package fddm with initial version 0.1-1
Package: fddm
Type: Package
Title: Fast Implementation of the Diffusion Decision Model
Version: 0.1-1
Authors@R: c(person(given="Kendal B.", family="Foster", role=c("aut")), person(given="Henrik", family="Singmann", role=c("ctb", "cre"), email="singmann@gmail.com", comment=c(ORCID="0000-0002-4842-3657")))
Description: Provides the probability density function (PDF) of the diffusion decision model (DDM; e.g., Ratcliff & McKoon, 2008, <doi:10.1162/neco.2008.12-06-420>) with across-trial variability in the drift rate. Because the PDF of the DDM contains an infinite sum, it needs to be approximated. 'fddm' implements all published approximations (Navarro & Fuss, 2009, <doi:10.1016/j.jmp.2009.02.003>; Gondan, Blurton, & Kesselmeier, 2014, <doi:10.1016/j.jmp.2014.05.002>) plus new approximations. All approximations are implemented purely in 'C++' providing faster speed than existing packages.
License: GPL (>= 2)
Imports: Rcpp (>= 1.0.1)
LinkingTo: Rcpp
Depends: R (>= 3.5.0)
Suggests: rtdists, RWiener, ggplot2, reshape2, testthat, knitr, rmarkdown, microbenchmark, ggnewscale
SystemRequirements: C++11
RoxygenNote: 7.1.1
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2020-07-08 14:14:38 UTC; singm
Author: Kendal B. Foster [aut], Henrik Singmann [ctb, cre] (<https://orcid.org/0000-0002-4842-3657>)
Maintainer: Henrik Singmann <singmann@gmail.com>
Repository: CRAN
Date/Publication: 2020-07-10 08:40:05 UTC

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New package cpp11 with initial version 0.1.0
Package: cpp11
Title: A C++11 Interface for R's C Interface
Version: 0.1.0
Authors@R: c(person(given = "Jim", family = "Hester", role = c("aut", "cre"), email = "jim.hester@rstudio.com", comment = c(ORCID = "0000-0002-2739-7082")), person(given = "RStudio", role = c("cph", "fnd")))
Description: Provides a header only, C++11 interface to R's C interface. Compared to other approaches 'cpp11' strives to be safe against long jumps from the C API as well as C++ exceptions, conform to normal R function semantics and supports interaction with 'ALTREP' vectors.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
SystemRequirements: C++11
RoxygenNote: 7.1.1
Suggests: bench, brio, cli, callr, covr, decor, desc, glue, ggplot2, knitr, lobstr, mockery, scales, testthat, tibble, utils, vctrs, withr, xml2, rmarkdown
VignetteBuilder: knitr
URL: https://github.com/r-lib/cpp11
BugReports: https://github.com/r-lib/cpp11/issues
Config/testthat/edition: 3
NeedsCompilation: no
Packaged: 2020-07-08 20:34:04 UTC; jhester
Author: Jim Hester [aut, cre] (<https://orcid.org/0000-0002-2739-7082>), RStudio [cph, fnd]
Maintainer: Jim Hester <jim.hester@rstudio.com>
Repository: CRAN
Date/Publication: 2020-07-10 09:00:02 UTC

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Package ggstar updated to version 0.0.9 with previous version 0.0.6 dated 2020-05-15

Title: Star Layer for 'ggplot2'
Description: To create the regular polygon layer for easily discernible shapes, we developed the package, it can be easily used if you know the 'ggplot2'.
Author: Shuangbin Xu [aut, cre] (<https://orcid.org/0000-0003-3513-5362>)
Maintainer: Shuangbin Xu <xshuangbin@163.com>

Diff between ggstar versions 0.0.6 dated 2020-05-15 and 0.0.9 dated 2020-07-10

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Package dialr updated to version 0.3.2 with previous version 0.3.1 dated 2020-04-04

Title: Parse, Format, and Validate International Phone Numbers
Description: Parse, format, and validate international phone numbers using Google's 'libphonenumber' java library, <https://github.com/google/libphonenumber>.
Author: Danny Smith [aut, cre], The Social Research Centre [cph]
Maintainer: Danny Smith <danny@gorcha.org>

Diff between dialr versions 0.3.1 dated 2020-04-04 and 0.3.2 dated 2020-07-10

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 10 files changed, 78 insertions(+), 44 deletions(-)

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Package RcmdrPlugin.BiclustGUI (with last version 1.1.1) was removed from CRAN

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

2017-07-03 1.1.1
2017-01-26 1.1.0
2016-08-08 1.0.6
2016-06-28 1.0.4

Permanent link
Package SparkR (with last version 2.4.6) was removed from CRAN

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

2020-06-06 2.4.6
2020-02-07 2.4.5
2019-09-02 2.4.4
2019-05-09 2.4.3
2019-04-25 2.4.2
2019-04-04 2.4.1

Permanent link
Package sarsop (with last version 0.6.2) was removed from CRAN

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

2020-06-26 0.6.2
2020-06-26 0.6.3

Permanent link
Package HDoutliers updated to version 1.0.2 with previous version 1.0.1 dated 2020-04-01

Title: Leland Wilkinson's Algorithm for Detecting Multidimensional Outliers
Description: An implementation of an algorithm for outlier detection that can handle a) data with a mixed categorical and continuous variables, b) many columns of data, c) many rows of data, d) outliers that mask other outliers, and e) both unidimensional and multidimensional datasets. Unlike ad hoc methods found in many machine learning papers, HDoutliers is based on a distributional model that uses probabilities to determine outliers.
Author: Chris Fraley [aut, cre], Leland Wilkinson [ctb]
Maintainer: Chris Fraley <cfraley@tableau.com>

Diff between HDoutliers versions 1.0.1 dated 2020-04-01 and 1.0.2 dated 2020-07-10

 CHANGELOG                         |    3 +
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Package DysPIA updated to version 1.3 with previous version 1.2 dated 2020-06-24

Title: Dysregulated Pathway Identification Analysis
Description: It is used to identify dysregulated pathways based on a pre-ranked gene pair list. A fast algorithm is used to make the computation really fast. The data in package 'DysPIAData' is needed.
Author: Limei Wang [aut, cre], Jin Li [aut, ctb]
Maintainer: Limei Wang <lemon619@gmail.com>

Diff between DysPIA versions 1.2 dated 2020-06-24 and 1.3 dated 2020-07-10

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Package tilemaps updated to version 0.2.0 with previous version 0.1.0 dated 2020-06-19

Title: Generate Tile Maps
Description: Implements an algorithm for generating maps, known as tile maps, in which each region is represented by a single tile of the same shape and size. The algorithm was first proposed in "Generating Tile Maps" by Graham McNeill and Scott Hale (2017) <doi:10.1111/cgf.13200>. Functions allow users to generate, plot, and compare square or hexagon tile maps.
Author: Kaelyn Rosenberg [aut, cre]
Maintainer: Kaelyn Rosenberg <kaerosenberg@gmail.com>

Diff between tilemaps versions 0.1.0 dated 2020-06-19 and 0.2.0 dated 2020-07-10

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Package tidytuesdayR updated to version 1.0.1 with previous version 1.0.0 dated 2020-06-26

Title: Access the Weekly 'TidyTuesday' Project Dataset
Description: 'TidyTuesday' is a project by the 'R4DS Online Learning Community' in which they post a weekly dataset onto post a weekly dataset in a public data repository (<https://github.com/rfordatascience/tidytuesday>) for people to analyze and visualize. This package provides the tools to easily download this data and the description of the source.
Author: Ellis Hughes [aut, cre], Jon Harmon [ctb], Thomas Mock [ctb], R4DS Online Learning Community [dtc]
Maintainer: Ellis Hughes <ellishughes@live.com>

Diff between tidytuesdayR versions 1.0.0 dated 2020-06-26 and 1.0.1 dated 2020-07-10

 DESCRIPTION                              |   11 ++++---
 MD5                                      |   44 ++++++++++++++++++-------------
 NAMESPACE                                |    5 +++
 NEWS.md                                  |    6 ++++
 R/github_api.R                           |    3 +-
 R/last_tuesday.R                         |only
 R/tt_available.R                         |    8 ++---
 R/tt_check_date.R                        |   16 +++++++++++
 R/tt_compile.R                           |    4 +-
 R/tt_load.R                              |    2 -
 R/tt_load_gh.R                           |    4 +-
 R/tt_master_file.R                       |    2 -
 R/use_tidytemplate.R                     |only
 R/utils.R                                |    6 ++--
 inst                                     |only
 man/available.Rd                         |    2 -
 man/last_tuesday.Rd                      |only
 man/pipe.Rd                              |   24 ++++++++--------
 man/printing.Rd                          |    4 +-
 man/readme.Rd                            |    2 -
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 man/tt_load.Rd                           |    2 -
 man/tt_load_gh.Rd                        |    4 +-
 man/use_tidytemplate.Rd                  |only
 tests/testthat/helper-tt_ref_test_that.R |   20 ++++++++++++++
 tests/testthat/test-11-last_tuesday.R    |only
 tests/testthat/test-12-encoding.R        |only
 27 files changed, 113 insertions(+), 56 deletions(-)

More information about tidytuesdayR at CRAN
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Package mirtCAT updated to version 1.10 with previous version 1.9.3 dated 2019-06-28

Title: Computerized Adaptive Testing with Multidimensional Item Response Theory
Description: Provides tools to generate an HTML interface for creating adaptive and non-adaptive educational and psychological tests using the shiny package (Chalmers (2016) <doi:10.18637/jss.v071.i05>). Suitable for applying unidimensional and multidimensional computerized adaptive tests (CAT) using item response theory methodology and for creating simple questionnaires forms to collect response data directly in R. Additionally, optimal test designs (e.g., "shadow testing") are supported for tests which contain a large number of item selection constraints. Finally, package contains tools useful for performing Monte Carlo simulations for studying the behavior of computerized adaptive test banks.
Author: Phil Chalmers [aut, cre] (<https://orcid.org/0000-0001-5332-2810>)
Maintainer: Phil Chalmers <rphilip.chalmers@gmail.com>

Diff between mirtCAT versions 1.9.3 dated 2019-06-28 and 1.10 dated 2020-07-10

 DESCRIPTION                         |    8 
 MD5                                 |   78 -
 NAMESPACE                           |   64 -
 NEWS.md                             |  665 +++++++------
 R/DesignClass.R                     |   23 
 R/PersonClass.R                     |  152 +--
 R/ShinyGUIClass.R                   |  296 +++---
 R/TestClass.R                       |  188 +--
 R/createShinyGUI.R                  |  108 +-
 R/extract.mirtCAT.R                 |  390 ++++----
 R/findNextCATItem.R                 |  826 ++++++++---------
 R/getPerson.R                       |   78 -
 R/mirtCAT.R                         | 1666 +++++++++++++++++-----------------
 R/mirtCAT_preamble.R                |  526 +++++-----
 R/run_pattern.R                     |    4 
 R/server.R                          |  528 +++++-----
 R/ui.R                              |   75 -
 R/updateDesign.R                    |   73 +
 R/util.R                            |  688 +++++++-------
 build/partial.rdb                   |binary
 build/vignette.rds                  |binary
 inst/doc/mirtCAT-vignettes.html     |  356 +++----
 man/computeCriteria.Rd              |  151 +--
 man/createSessionName.Rd            |   42 
 man/createShinyGUI.Rd               |   97 +-
 man/extract.mirtCAT.Rd              |  352 +++----
 man/findNextItem.Rd                 |  358 +++----
 man/generate.mirt_object.Rd         |  199 ++--
 man/generate_pattern.Rd             |  114 +-
 man/getPerson.Rd                    |   78 -
 man/get_mirtCAT_env.Rd              |   38 
 man/mirtCAT-package.Rd              |   72 -
 man/mirtCAT.Rd                      | 1745 ++++++++++++++++++------------------
 man/mirtCAT_preamble.Rd             |   94 -
 man/updateDesign.Rd                 |  143 +-
 tests/GUI-tests/GUI-tests.R         |  705 +++++++-------
 tests/tests/test-mirtCAT_classify.R |  108 +-
 tests/tests/test-mirtCAT_extra.R    |  229 ++--
 tests/tests/test-mirtCAT_multi.R    |  214 ++--
 tests/tests/test-mirtCAT_uni.R      |  501 +++++-----
 40 files changed, 6133 insertions(+), 5899 deletions(-)

More information about mirtCAT at CRAN
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