Tue, 06 Oct 2020

Package vdiffr updated to version 0.3.3 with previous version 0.3.2.2 dated 2020-07-07

Title: Visual Regression Testing and Graphical Diffing
Description: An extension to the 'testthat' package that makes it easy to add graphical unit tests. It provides a Shiny application to manage the test cases.
Author: Lionel Henry [cre, aut], RStudio [cph], Carl Sutherland [aut] (jg-imagediff library), Humble Software [cph] (jg-imagediff library), David Hong [aut] (TwoFace library), jQuery Foundation [cph] (jQuery library), jQuery contributors [ctb, cph] (jQuery library; authors listed in inst/htmlwidgets/lib/jquery-authors.txt), T Jake Luciani [aut] (svglite), Matthieu Decorde [aut] (svglite), Vaudor Lise [aut] (svglite), Tony Plate [ctb] (svglite: Early line dashing code), David Gohel [ctb] (svglite: Line dashing code and raster code), Yixuan Qiu [ctb] (svglite: Improved styles; polypath implementation), Håkon Malmedal [ctb] (svglite: Opacity code)
Maintainer: Lionel Henry <lionel@rstudio.com>

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Package tsibble updated to version 0.9.3 with previous version 0.9.2 dated 2020-07-24

Title: Tidy Temporal Data Frames and Tools
Description: Provides a 'tbl_ts' class (the 'tsibble') for temporal data in an data- and model-oriented format. The 'tsibble' provides tools to easily manipulate and analyse temporal data, such as filling in time gaps and aggregating over calendar periods.
Author: Earo Wang [aut, cre] (<https://orcid.org/0000-0001-6448-5260>), Di Cook [aut, ths] (<https://orcid.org/0000-0002-3813-7155>), Rob Hyndman [aut, ths] (<https://orcid.org/0000-0002-2140-5352>), Mitchell O'Hara-Wild [aut] (<https://orcid.org/0000-0001-6729-7695>), Tyler Smith [ctb]
Maintainer: Earo Wang <earo.wang@gmail.com>

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Package rcarbon updated to version 1.4.1 with previous version 1.4.0 dated 2020-08-25

Title: Calibration and Analysis of Radiocarbon Dates
Description: Enables the calibration and analysis of radiocarbon dates, often but not exclusively for the purposes of archaeological research. It includes functions not only for basic calibration, uncalibration, and plotting of one or more dates, but also a statistical framework for building demographic and related longitudinal inferences from aggregate radiocarbon date lists, including: Monte-Carlo simulation test (Timpson et al 2014 <doi:10.1016/j.jas.2014.08.011>), random mark permutation test (Crema et al 2016 <doi:10.1371/journal.pone.0154809>) and spatial permutation tests (Crema, Bevan, and Shennan 2017 <doi:10.1016/j.jas.2017.09.007>).
Author: Andrew Bevan [aut] (<https://orcid.org/0000-0001-7967-3117>), Enrico Crema [aut, cre] (<https://orcid.org/0000-0001-6727-5138>), R. Kyle Bocinsky [ctb], Martin Hinz [ctb], Philip Riris [ctb], Fabio Silva [ctb]
Maintainer: Enrico Crema <enrico.crema@gmail.com>

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Package glmnetUtils updated to version 1.1.6 with previous version 1.1.5 dated 2020-03-12

Title: Utilities for 'Glmnet'
Description: Provides a formula interface for the 'glmnet' package for elasticnet regression, a method for cross-validating the alpha parameter, and other quality-of-life tools.
Author: Microsoft [cph], Hong Ooi [aut, cre]
Maintainer: Hong Ooi <hongooi73@gmail.com>

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Package catSurv updated to version 1.3.0 with previous version 1.2.0 dated 2019-12-09

Title: Computerized Adaptive Testing for Survey Research
Description: Provides methods of computerized adaptive testing for survey researchers. See Montgomery and Rossiter (2019) <doi:10.1093/jssam/smz027>. Includes functionality for data fit with the classic item response methods including the latent trait model, Birnbaum`s three parameter model, the graded response, and the generalized partial credit model. Additionally, includes several ability parameter estimation and item selection routines. During item selection, all calculations are done in compiled C++ code.
Author: Jacob Montgomery [aut], Erin Rossiter [aut, cre]
Maintainer: Erin Rossiter <erinrossiter@wustl.edu>

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Package servr updated to version 0.19 with previous version 0.18 dated 2020-07-28

Title: A Simple HTTP Server to Serve Static Files or Dynamic Documents
Description: Start an HTTP server in R to serve static files, or dynamic documents that can be converted to HTML files (e.g., R Markdown) under a given directory.
Author: Yihui Xie [aut, cre] (<https://orcid.org/0000-0003-0645-5666>), Carson Sievert [ctb], Jesse Anderson [ctb], Ramnath Vaidyanathan [ctb]
Maintainer: Yihui Xie <xie@yihui.name>

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Package BayesReversePLLH updated to version 1.4 with previous version 1.3 dated 2020-02-06

Title: Fits the Bayesian Piecewise Linear Log-Hazard Model
Description: Contains posterior samplers for the Bayesian piecewise linear log-hazard and piecewise exponential hazard models, including Cox models. Posterior mean restricted survival times are also computed for non-Cox an Cox models with only treatment indicators. The ApproxMean() function can be used to estimate restricted posterior mean survival times given a vector of patient covariates in the Cox model. Functions included to return the posterior mean hazard and survival functions for the piecewise exponential and piecewise linear log-hazard models. Chapple, AG, Peak, T, Hemal, A (2020). Under Revision.
Author: Andrew G Chapple
Maintainer: Andrew G Chapple <achapp@lsuhsc.edu>

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Package NutrienTrackeR updated to version 0.99.3 with previous version 0.99.2 dated 2018-06-27

Title: Food Composition Information and Dietary Assessment
Description: Provides a tool set for food information and dietary assessment. It uses food composition data from several reference databases, including: 'USDA' (United States), 'CIQUAL' (France), and 'BEDCA' (Spain). 'NutrienTrackeR' calculates the intake levels for both macronutrient and micronutrients, and compares them with the recommended dietary allowances (RDA). It includes a number of visualization tools, such as time series plots of nutrient intake, and pie-charts showing the main foods contributing to the intake level of a given nutrient.
Author: Andrea Rodriguez-Martinez, Rafael Ayala, Yacine Debbabi, Lara Selles Vidal
Maintainer: Rafael Ayala <r.ayala14@imperial.ac.uk>

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Package sars updated to version 1.3.0 with previous version 1.2.3 dated 2020-05-31

Title: Fit and Compare Species-Area Relationship Models Using Multimodel Inference
Description: Implements the basic elements of the multi-model inference paradigm for up to twenty species-area relationship models (SAR), using simple R list-objects and functions, as in Triantis et al. 2012 <DOI:10.1111/j.1365-2699.2011.02652.x>. The package is scalable and users can easily create their own model and data objects. Additional SAR related functions are provided.
Author: Thomas J. Matthews [aut, cre] (<https://orcid.org/0000-0002-7624-244X>), Francois Guilhaumon [aut] (<https://orcid.org/0000-0003-4707-8932>), Kevin Cazelles [rev] (<https://orcid.org/0000-0001-6619-9874>)
Maintainer: Thomas J. Matthews <txm676@gmail.com>

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Package rnoaa updated to version 1.2.0 with previous version 1.1.0 dated 2020-07-08

Title: 'NOAA' Weather Data from R
Description: Client for many 'NOAA' data sources including the 'NCDC' climate 'API' at <https://www.ncdc.noaa.gov/cdo-web/webservices/v2>, with functions for each of the 'API' 'endpoints': data, data categories, data sets, data types, locations, location categories, and stations. In addition, we have an interface for 'NOAA' sea ice data, the 'NOAA' severe weather inventory, 'NOAA' Historical Observing 'Metadata' Repository ('HOMR') data, 'NOAA' storm data via 'IBTrACS', tornado data via the 'NOAA' storm prediction center, and more.
Author: Scott Chamberlain [aut, cre] (<https://orcid.org/0000-0003-1444-9135>), Brooke Anderson [ctb], Maëlle Salmon [ctb], Adam Erickson [ctb], Nicholas Potter [ctb], Joseph Stachelek [ctb], Alex Simmons [ctb], Karthik Ram [ctb], Hart Edmund [ctb], rOpenSci [fnd] (https://ropensci.org)
Maintainer: Scott Chamberlain <myrmecocystus@gmail.com>

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Package Rankcluster updated to version 0.94.4 with previous version 0.94.2 dated 2020-02-20

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

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New package Momocs with initial version 1.3.2
Package: Momocs
Title: Morphometrics using R
Version: 1.3.2
Date: 2020-10-05
Authors@R: c( person("Vincent", "Bonhomme", ,"bonhomme.vincent@gmail.com", c("aut", "cre")), person("Julien", "Claude", , , c("aut"), comment = "core functions in base R"))
Description: The goal of 'Momocs' is to provide a complete, convenient, reproducible and open-source toolkit for 2D morphometrics. It includes most common 2D morphometrics approaches on outlines, open outlines, configurations of landmarks, traditional morphometrics, and facilities for data preparation, manipulation and visualization with a consistent grammar throughout. It allows reproducible, complex morphometrics analyses and other morphometrics approaches should be easy to plug in, or develop from, on top of this canvas.
License: GPL-2 | GPL-3
Encoding: UTF-8
URL: https://github.com/MomX/Momocs/
BugReports: https://github.com/MomX/Momocs/issues
Depends: R(>= 3.2)
LazyData: true
Imports: cluster, dendextend, dplyr, magrittr, geometry, geomorph, ggplot2, graphics, grDevices, jpeg, MASS, progress, RColorBrewer, rgeos, sp, utils, vegan, tibble
Suggests: devtools, knitr, rmarkdown, testthat, covr, roxygen2
RoxygenNote: 7.1.0
NeedsCompilation: no
Packaged: 2020-10-06 12:46:30 UTC; vbonhomme
Author: Vincent Bonhomme [aut, cre], Julien Claude [aut] (core functions in base R)
Maintainer: Vincent Bonhomme <bonhomme.vincent@gmail.com>
Repository: CRAN
Date/Publication: 2020-10-06 15:20:11 UTC

More information about Momocs at CRAN
Permanent link

Package simstudy updated to version 0.2.0 with previous version 0.1.16 dated 2020-03-31

Title: Simulation of Study Data
Description: Simulates data sets in order to explore modeling techniques or better understand data generating processes. The user specifies a set of relationships between covariates, and generates data based on these specifications. The final data sets can represent data from randomized control trials, repeated measure (longitudinal) designs, and cluster randomized trials. Missingness can be generated using various mechanisms (MCAR, MAR, NMAR).
Author: Keith Goldfeld [aut, cre] (<https://orcid.org/0000-0002-0292-8780>), Jacob Wujciak-Jens [aut] (<https://orcid.org/0000-0002-7281-3989>)
Maintainer: Keith Goldfeld <Keith.Goldfeld@nyumc.org>

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New package sivs with initial version 0.2.2
Package: sivs
Type: Package
Title: Seed Independent Variable Selection
Version: 0.2.2
Date: 2020-09-11
Authors@R: c(person(given = "Mehrad", family = "Mahmoudian", role = c("aut", "cre"), email = "mehrad.mahmoudian@utu.fi", comment = c(ORCID = "0000-0001-7650-1862")), person(given = "Mikko", family = "Venäläinen", role = c("aut", "rev"), email = "", comment = c(ORCID = "0000-0003-1777-4259")), person(given = "Riku", family = "Klèn", role = c("aut", "ths"), email = "", comment = c(ORCID = "0000-0002-0982-8360")), person(given = "Laura", family = "Elo", role = c("aut", "ths", "fnd"), email = "", comment = c(ORCID = "0000-0001-5648-4532")))
Imports: doParallel, parallel, foreach, glmnet, pROC, varhandle, utils
Suggests: knitr, rmarkdown, markdown
Description: An iterative feature selection method (manuscript submitted) that internally utilizes various Machine Learning methods that have embedded feature reduction in order to shrink down the feature space into a small and yet robust set.
License: GPL-3
URL: https://github.com/mmahmoudian/sivs
BugReports: https://github.com/mmahmoudian/sivs/issues
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-10-01 09:34:45 UTC; mehrad
Author: Mehrad Mahmoudian [aut, cre] (<https://orcid.org/0000-0001-7650-1862>), Mikko Venäläinen [aut, rev] (<https://orcid.org/0000-0003-1777-4259>), Riku Klèn [aut, ths] (<https://orcid.org/0000-0002-0982-8360>), Laura Elo [aut, ths, fnd] (<https://orcid.org/0000-0001-5648-4532>)
Maintainer: Mehrad Mahmoudian <mehrad.mahmoudian@utu.fi>
Repository: CRAN
Date/Publication: 2020-10-06 12:40:03 UTC

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New package occCite with initial version 0.3.0
Package: occCite
Type: Package
Title: Querying and Managing Large Biodiversity Occurrence Datasets
Version: 0.3.0
Authors@R: c( person(given = "Hannah L.", family = "Owens", ,"hannah.owens@gmail.com", role=c("aut","cre"), comment = c(ORCID = "0000-0003-0071-1745")), person(given = "Cory", family = "Merow",,,role="aut", comment = c(ORCID = "0000-0003-0561-053X")), person(given = "Brian", family = "Maitner", ,,,role="aut", comment = c(ORCID = "0000-0002-2118-9880")), person(given = "Jamie M.", family = "Kass", ,,,role="aut", comment = c(ORCID = "0000-0002-9432-895X")), person(given = "Vijay", family = "Barve",,"vijay.barve@gmail.com ",role="aut", comment = c(ORCID = "0000-0002-4852-2567")), person(given = "Robert P.", family = "Guralnick",,,role="aut", comment = c(ORCID = "0000-0001-6682-1504")) )
Author: Hannah L. Owens [aut, cre] (<https://orcid.org/0000-0003-0071-1745>), Cory Merow [aut] (<https://orcid.org/0000-0003-0561-053X>), Brian Maitner [aut] (<https://orcid.org/0000-0002-2118-9880>), Jamie M. Kass [aut] (<https://orcid.org/0000-0002-9432-895X>), Vijay Barve [aut] (<https://orcid.org/0000-0002-4852-2567>), Robert P. Guralnick [aut] (<https://orcid.org/0000-0001-6682-1504>)
Maintainer: Hannah L. Owens <hannah.owens@gmail.com>
Description: Facilitates the gathering of biodiversity occurrence data from disparate sources. Metadata is managed throughout the process to facilitate reporting and enhanced ability to repeat analyses.
License: GPL (>= 2)
URL: https://github.com/hannahlowens/occCite
BugReports: https://github.com/hannahlowens/occCite/issues
Encoding: UTF-8
LazyData: true
Language: en-US
Depends: R (>= 3.5.0)
Suggests: rmarkdown, RColorBrewer, viridis, remotes
Imports: RefManageR, bib2df, BIEN, bit64, dplyr, ape, lubridate, methods, rgbif (>= 3.1), taxize, stringr, knitr, stats, leaflet, htmltools, ggplot2, rlang, magrittr, tidyr, RPostgreSQL, DBI, waffle
VignetteBuilder: knitr
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2020-10-01 08:49:10 UTC; HannahOwens
Repository: CRAN
Date/Publication: 2020-10-06 12:30:02 UTC

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Package igraph updated to version 1.2.6 with previous version 1.2.5 dated 2020-03-19

Title: Network Analysis and Visualization
Description: Routines for simple graphs and network analysis. It can handle large graphs very well and provides functions for generating random and regular graphs, graph visualization, centrality methods and much more.
Author: See AUTHORS file.
Maintainer: Gábor Csárdi <csardi.gabor@gmail.com>

Diff between igraph versions 1.2.5 dated 2020-03-19 and 1.2.6 dated 2020-10-06

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Package distributional updated to version 0.2.1 with previous version 0.2.0 dated 2020-08-03

Title: Vectorised Probability Distributions
Description: Vectorised distribution objects with tools for manipulating, visualising, and using probability distributions. Designed to allow model prediction outputs to return distributions rather than their parameters, allowing users to directly interact with predictive distributions in a data-oriented workflow. In addition to providing generic replacements for p/d/q/r functions, other useful statistics can be computed including means, variances, intervals, and highest density regions.
Author: Mitchell O'Hara-Wild [aut, cre] (<https://orcid.org/0000-0001-6729-7695>), Earo Wang [ctb] (<https://orcid.org/0000-0001-6448-5260>), Matthew Kay [ctb] (<https://orcid.org/0000-0001-9446-0419>), Alex Hayes [aut] (<https://orcid.org/0000-0002-4985-5160>)
Maintainer: Mitchell O'Hara-Wild <mail@mitchelloharawild.com>

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New package cmsafvis with initial version 1.0.0
Package: cmsafvis
Title: Visualize CM SAF NetCDF Data
Version: 1.0.0
Authors@R: person(given = "Steffen", family = "Kothe", role = c("aut", "cre"), email = "Steffen.Kothe@dwd.de")
Description: The Satellite Application Facility on Climate Monitoring (CM SAF) is a ground segment of the European Organization for the Exploitation of Meteorological Satellites (EUMETSAT) and one of EUMETSATs Satellite Application Facilities. The CM SAF contributes to the sustainable monitoring of the climate system by providing essential climate variables related to the energy and water cycle of the atmosphere (<http://www.cmsaf.eu>). It is a joint cooperation of eight National Meteorological and Hydrological Services. The 'cmsafvis' R-package provides a collection of R-operators for the analysis and visualization of CM SAF NetCDF data. CM SAF climate data records are provided for free via (<https://wui.cmsaf.eu>). Detailed information and test data are provided on the CM SAF webpage (<http://www.cmsaf.eu/R_toolbox>).
License: GPL (>= 3)
Depends: R (>= 3.6)
Imports: animation (>= 2.6), assertthat (>= 0.2.1), cmsafops (>= 1.0.0), colorspace (>= 1.4), countrycode (>= 1.1), fields (>= 10.3), mapproj (>= 1.2.7), maps (>= 3.3.0), maptools (>= 0.9), methods (>= 3.6), ncdf4 (>= 1.17), png (>= 0.1), progress (>= 1.2.2), raster (>= 3.0), rworldxtra (>= 1.01), sp (>= 1.4), yaml (>= 2.2)
NeedsCompilation: no
Repository: CRAN
LazyData: true
RoxygenNote: 7.1.1
Encoding: UTF-8
Language: en-US
Suggests: plotKML (>= 0.6), rgdal (>= 1.4), rnaturalearth (>= 0.1), spelling (>= 2.1), testthat (>= 2.3)
Packaged: 2020-10-01 07:33:13 UTC; stkothe
Author: Steffen Kothe [aut, cre]
Maintainer: Steffen Kothe <Steffen.Kothe@dwd.de>
Date/Publication: 2020-10-06 12:20:02 UTC

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Package CrossScreening (with last version 0.1.1) was removed from CRAN

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

2017-04-21 0.1.1
2017-03-12 0.0.1

Permanent link
New package suppdata with initial version 1.1-4
Package: suppdata
Type: Package
Title: Downloading Supplementary Data from Published Manuscripts
Version: 1.1-4
Authors@R: c(person("William D.", "Pearse", email = "will.pearse@gmail.com", role = c("aut", "cre"), comment=c(ORCID="0000-0002-6241-3164")), person("Scott", "Chamberlain", role = "aut", comment=c(ORCID="0000-0003-1444-9135")), person("Daniel", "Nuest", role = "aut", comment=c(ORCID="0000-0002-0024-5046")), person("Ross", "Mounce", role = c("rev"), comment = "Ross Mounce reviewed the package for rOpenSci, see https://github.com/ropensci/onboarding/issues/195"), person("Sarah", "Supp", role = c("rev"), comment = "Sarah Supp reviewed the package for rOpenSci, see https://github.com/ropensci/onboarding/issues/195"))
Maintainer: William D. Pearse <will.pearse@gmail.com>
Description: Downloads data supplementary materials from manuscripts, using papers' DOIs as references. Facilitates open, reproducible research workflows: scientists re-analyzing published datasets can work with them as easily as if they were stored on their own computer, and others can track their analysis workflow painlessly. The main function suppdata() returns a (temporary) location on the user's computer where the file is stored, making it simple to use suppdata() with standard functions like read.csv().
License: MIT + file LICENSE
URL: https://docs.ropensci.org/suppdata/, https://github.com/ropensci/suppdata/
BugReports: https://github.com/ropensci/suppdata/
VignetteBuilder: knitr
LazyLoad: yes
Suggests: knitr (>= 1.6), testthat (>= 2.0.0), covr (>= 3.0.1), fulltext (>= 0.1.4.9000)
Imports: httr (>= 1.0.0), xml2 (>= 1.2.0), jsonlite (>= 1.5), rcrossref (>= 0.8.0)
Encoding: UTF-8
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2020-10-05 12:41:47 UTC; will
Author: William D. Pearse [aut, cre] (<https://orcid.org/0000-0002-6241-3164>), Scott Chamberlain [aut] (<https://orcid.org/0000-0003-1444-9135>), Daniel Nuest [aut] (<https://orcid.org/0000-0002-0024-5046>), Ross Mounce [rev] (Ross Mounce reviewed the package for rOpenSci, see https://github.com/ropensci/onboarding/issues/195), Sarah Supp [rev] (Sarah Supp reviewed the package for rOpenSci, see https://github.com/ropensci/onboarding/issues/195)
Repository: CRAN
Date/Publication: 2020-10-06 12:00:03 UTC

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Package queuecomputer updated to version 1.0.0 with previous version 0.8.3 dated 2018-10-16

Title: Computationally Efficient Queue Simulation
Description: Implementation of a computationally efficient method for simulating queues with arbitrary arrival and service times. Please see Ebert, Wu, Mengersen & Ruggeri (2020, <doi:10.18637/jss.v095.i05>) for further details.
Author: Anthony Ebert [aut, cre] (<https://orcid.org/0000-0003-3002-6300>), Kerrie Mengersen [ths], Paul Wu [ths], Fabrizio Ruggeri [ths]
Maintainer: Anthony Ebert <anthonyebert+CRAN@gmail.com>

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Package ggstatsplot updated to version 0.6.1 with previous version 0.6.0 dated 2020-09-13

Title: 'ggplot2' Based Plots with Statistical Details
Description: Extension of 'ggplot2', 'ggstatsplot' creates graphics with details from statistical tests included in the plots themselves. It provides an easier API to generate information-rich plots for statistical analysis of continuous (violin plots, scatterplots, histograms, dot plots, dot-and-whisker plots) or categorical (pie and bar charts) data. Currently, it supports only the most common types of statistical tests: parametric, nonparametric, robust, and Bayesian versions of t-test/ANOVA, correlation analyses, contingency table analysis, meta-analysis, and regression analyses.
Author: Indrajeet Patil [cre, aut, cph] (<https://orcid.org/0000-0003-1995-6531>)
Maintainer: Indrajeet Patil <patilindrajeet.science@gmail.com>

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Permanent link

Package DIscBIO updated to version 1.0.1 with previous version 1.0.0 dated 2020-08-26

Title: A User-Friendly Pipeline for Biomarker Discovery in Single-Cell Transcriptomics
Description: An open, multi-algorithmic pipeline for easy, fast and efficient analysis of cellular sub-populations and the molecular signatures that characterize them. The pipeline consists of four successive steps: data pre-processing, cellular clustering with pseudo-temporal ordering, defining differential expressed genes and biomarker identification. This package implements extensions of the work published by Ghannoum et. al. (2019) <doi:10.1101/700989>.
Author: Salim Ghannoum [aut, cph], Alvaro Köhn-Luque [aut, ths], Waldir Leoncio [cre, aut], Damiano Fantini [ctb]
Maintainer: Waldir Leoncio <w.l.netto@medisin.uio.no>

Diff between DIscBIO versions 1.0.0 dated 2020-08-26 and 1.0.1 dated 2020-10-06

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More information about DIscBIO at CRAN
Permanent link

Package MRPC updated to version 2.2.1 with previous version 2.2.0 dated 2019-11-16

Title: PC Algorithm with the Principle of Mendelian Randomization
Description: A PC Algorithm with the Principle of Mendelian Randomization. This package implements the MRPC (PC with the principle of Mendelian randomization) algorithm to infer causal graphs. It also contains functions to simulate data under a certain topology, to visualize a graph in different ways, and to compare graphs and quantify the differences. See Badsha and Fu (2019) <doi.org/10.3389/fgene.2019.00460>,Badsha, Martin and Fu (2018) <arXiv:1806.01899>.
Author: Md Bahadur Badsha [aut,cre],Evan A Martin [ctb] and Audrey Qiuyan Fu [aut]
Maintainer: Md Bahadur Badsha <mbbadshar@gmail.com>

Diff between MRPC versions 2.2.0 dated 2019-11-16 and 2.2.1 dated 2020-10-06

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More information about MRPC at CRAN
Permanent link

Package LMERConvenienceFunctions updated to version 3.0 with previous version 2.10 dated 2015-01-31

Title: Model Selection and Post-Hoc Analysis for (G)LMER Models
Description: The main function of the package is to perform backward selection of fixed effects, forward fitting of the random effects, and post-hoc analysis using parallel capabilities. Other functionality includes the computation of ANOVAs with upper- or lower-bound p-values and R-squared values for each model term, model criticism plots, data trimming on model residuals, and data visualization. The data to run examples is contained in package LCF_data.
Author: Antoine Tremblay, Statistics Canada, and Johannes Ransijn, University of Copenhagen
Maintainer: "Antoine Tremblay, Statistics Canada" <trea26@gmail.com>

Diff between LMERConvenienceFunctions versions 2.10 dated 2015-01-31 and 3.0 dated 2020-10-06

 DESCRIPTION                             |   17 +--
 MD5                                     |   60 ++++++------
 NAMESPACE                               |   11 ++
 NEWS                                    |   16 +++
 R/bfFixefLMER_F.fnc.R                   |   18 +--
 R/bfFixefLMER_t.fnc.R                   |   32 ++++--
 R/fitLMER.fnc.R                         |   14 ++
 R/pamer.fnc.R                           |   26 +++--
 R/plotDensity3d.fnc.R                   |   46 ---------
 R/plotLMER3d.fnc.R                      |  160 --------------------------------
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More information about LMERConvenienceFunctions at CRAN
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Package braQCA (with last version 1.0.0.1) was removed from CRAN

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

2018-02-21 1.0.0.1

Permanent link
Package shinyWidgets updated to version 0.5.4 with previous version 0.5.3 dated 2020-06-01

Title: Custom Inputs Widgets for Shiny
Description: Collection of custom input controls and user interface components for 'Shiny' applications. Give your applications a unique and colorful style !
Author: Victor Perrier [aut, cre, cph], Fanny Meyer [aut], David Granjon [aut], Ian Fellows [ctb] (Methods for mutating vertical tabs & updateMultiInput), Wil Davis [ctb] (numericRangeInput function), Spencer Matthews [ctb] (autoNumeric methods)
Maintainer: Victor Perrier <victor.perrier@dreamrs.fr>

Diff between shinyWidgets versions 0.5.3 dated 2020-06-01 and 0.5.4 dated 2020-10-06

 shinyWidgets-0.5.3/shinyWidgets/inst/assets/selectPicker                                                  |only
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 shinyWidgets-0.5.4/shinyWidgets/NEWS.md                                                                   |   13 
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 shinyWidgets-0.5.4/shinyWidgets/R/drop-menu.R                                                             |    4 
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More information about shinyWidgets at CRAN
Permanent link

Package pairwiseComparisons updated to version 3.0.0 with previous version 2.0.1 dated 2020-09-12

Title: Multiple Pairwise Comparison Tests
Description: Multiple pairwise comparison tests on tidy data for one-way analysis of variance for both between-subjects and within-subjects designs. Currently, it supports only the most common types of statistical analyses and tests: parametric (Welch's and Student's t-test), nonparametric (Durbin-Conover and Dunn test), robust (Yuen’s trimmed means test), and Bayes Factor (Student's t-test).
Author: Indrajeet Patil [cre, aut, cph] (<https://orcid.org/0000-0003-1995-6531>)
Maintainer: Indrajeet Patil <patilindrajeet.science@gmail.com>

Diff between pairwiseComparisons versions 2.0.1 dated 2020-09-12 and 3.0.0 dated 2020-10-06

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More information about pairwiseComparisons at CRAN
Permanent link

New package blink with initial version 1.1.0
Package: blink
Type: Package
Title: Record Linkage for Empirically Motivated Priors
Version: 1.1.0
Authors@R: person("Rebecca", "Steorts", email = "beka@stat.duke.edu", role = c("aut", "cre"))
Depends: R (>= 3.0.2), stringdist, plyr
Imports: stats, utils
Suggests: knitr, rmarkdown
Encoding: UTF-8
VignetteBuilder: knitr
Description: An implementation of the model in Steorts (2015) <DOI:10.1214/15-BA965SI>, which performs Bayesian entity resolution for categorical and text data, for any distance function defined by the user. In addition, the precision and recall are in the package to allow one to compare to any other comparable method such as logistic regression, Bayesian additive regression trees (BART), or random forests. The experiments are reproducible and illustrated using a simple vignette. LICENSE: GPL-3 + file license.
License: GPL-3
LazyData: TRUE
RoxygenNote: 7.1.1.9000
NeedsCompilation: no
Packaged: 2020-09-30 21:00:40 UTC; rebeccasteorts
Author: Rebecca Steorts [aut, cre]
Maintainer: Rebecca Steorts <beka@stat.duke.edu>
Repository: CRAN
Date/Publication: 2020-10-06 09:50:02 UTC

More information about blink at CRAN
Permanent link

New package treeducken with initial version 1.0.0
Package: treeducken
Type: Package
Title: Nested Phylogenetic Tree Simulator
Version: 1.0.0
Authors@R: c(person("Wade", "Dismukes", email="wade.dismukes@gmail.com", role=c("aut","cre")), person(c("Tracy","A."), "Heath", role=c("aut")), person("Josh", "Justison", role=c("ctb")), person("Damien", "de Vienne", role=c("ctb")), person("Liam", "Revell", role=c("ctb")), person("Emmanuel", "Paradis", role=c("ctb")), person("Klaus", "Schliep", role=c("ctb")), person("Ben", "Bolker", role=c("ctb")), person(c("Luke","J."), "Harmon", role=c("ctb")), person(c("Joseph","W."), "Brown", role=c("ctb")))
Description: Simulates nested phylogenetic trees (gene trees in species tree, symbiont trees in host trees) using birth-death processes and transfers between lineages. Simulations of gene trees within species trees are performed using a three-tree model with species trees, locus trees, and gene trees. The cophylogenetic birth-death process is used to simulate sets of host and symbiont trees with extant associations between tips. For more information about the three-tree model see: Mallo et al. (2015) <doi:10.1093/sysbio/syv082>, Rasmussen and Kellis (2012) <doi:10.1101/gr.123901.111>.
License: GPL-3
SystemRequirements: C++11
Imports: Rcpp (>= 1.0.2), apTreeshape, graphics, methods
Depends: ape
LinkingTo: Rcpp, RcppArmadillo
RoxygenNote: 7.1.1
LazyData: true
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2020-09-30 15:45:29 UTC; waded
Author: Wade Dismukes [aut, cre], Tracy A. Heath [aut], Josh Justison [ctb], Damien de Vienne [ctb], Liam Revell [ctb], Emmanuel Paradis [ctb], Klaus Schliep [ctb], Ben Bolker [ctb], Luke J. Harmon [ctb], Joseph W. Brown [ctb]
Maintainer: Wade Dismukes <wade.dismukes@gmail.com>
Repository: CRAN
Date/Publication: 2020-10-06 08:10:02 UTC

More information about treeducken at CRAN
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Package sna updated to version 2.6 with previous version 2.5 dated 2019-12-10

Title: Tools for Social Network Analysis
Description: A range of tools for social network analysis, including node and graph-level indices, structural distance and covariance methods, structural equivalence detection, network regression, random graph generation, and 2D/3D network visualization.
Author: Carter T. Butts [aut, cre, cph]
Maintainer: Carter T. Butts <buttsc@uci.edu>

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Package Rdpack updated to version 2.0 with previous version 1.0.0 dated 2020-07-01

Title: Update and Manipulate Rd Documentation Objects
Description: Functions for manipulation of R documentation objects, including functions reprompt() and ereprompt() for updating 'Rd' documentation for functions, methods and classes; 'Rd' macros for citations and import of references from 'bibtex' files for use in 'Rd' files and 'roxygen2' comments; 'Rd' macros for evaluating and inserting snippets of 'R' code and the results of its evaluation or creating graphics on the fly; and many functions for manipulation of references and Rd files.
Author: Georgi N. Boshnakov [aut, cre], Duncan Murdoch [ctb]
Maintainer: Georgi N. Boshnakov <georgi.boshnakov@manchester.ac.uk>

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Package FSK2R updated to version 0.1.2 with previous version 0.1.1 dated 2020-05-13

Title: An Interface Between the 'FSK-ML' Standard and 'R'
Description: Functions for importing, creating, editing and exporting 'FSK' files <https://foodrisklabs.bfr.bund.de/fsk-ml-food-safety-knowledge-markup-language/> using the 'R' programming environment. Furthermore, it enables users to run simulations contained in the 'FSK' files and visualize the results.
Author: Alberto Garre [aut, cre], Miguel de Alba Aparicio [aut], Pablo S. Fernandez [aut], Matthias Filter [aut]
Maintainer: Alberto Garre <garre.alberto@gmail.com>

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Package ggiraphExtra updated to version 0.3.0 with previous version 0.2.9 dated 2018-07-22

Title: Make Interactive 'ggplot2'. Extension to 'ggplot2' and 'ggiraph'
Description: Collection of functions to enhance 'ggplot2' and 'ggiraph'. Provides functions for exploratory plots. All plot can be a 'static' plot or an 'interactive' plot using 'ggiraph'.
Author: Keon-Woong Moon [aut, cre]
Maintainer: Keon-Woong Moon <cardiomoon@gmail.com>

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Package xltabr (with last version 0.1.2) was removed from CRAN

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

2017-11-28 0.1.2
2017-10-24 0.1.1

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Package suppdata (with last version 1.1-3) was removed from CRAN

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2020-08-03 1.1-3

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Package adapr (with last version 2.0.0) was removed from CRAN

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

2017-11-29 2.0.0
2017-02-02 1.0.2
2016-12-29 1.0.1
2016-11-07 1.0

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Package icd (with last version 4.0.9) was removed from CRAN

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

2020-05-30 4.0.9

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Package qgcomp updated to version 2.6.0 with previous version 2.5.0 dated 2020-09-09

Title: Quantile G-Computation
Description: G-computation for a set of time-fixed exposures with quantile-based basis functions, possibly under linearity and homogeneity assumptions. This approach estimates a regression line corresponding to the expected change in the outcome (on the link basis) given a simultaneous increase in the quantile-based category for all exposures. Works with continuous, binary, and right-censored time-to-event outcomes. Reference: Alexander P. Keil, Jessie P. Buckley, Katie M. OBrien, Kelly K. Ferguson, Shanshan Zhao, and Alexandra J. White (2019) A quantile-based g-computation approach to addressing the effects of exposure mixtures; <doi:10.1289/EHP5838>.
Author: Alexander Keil [aut, cre]
Maintainer: Alexander Keil <akeil@unc.edu>

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Package neonstore updated to version 0.3.0 with previous version 0.2.3 dated 2020-09-22

Title: NEON Data Store
Description: The National Ecological Observatory Network (NEON) provides access to its numerous data products through its REST API, <https://data.neonscience.org/data-api/>. This package provides a high-level user interface for downloading and storing NEON data products. While each of NEON data products consist of hundreds or thousands of individual files. Unlike 'neonUtilities', this package will avoid repeated downloading, provides persistent storage, and improves performance. This package does not provide expose interactions with the individual low-level NEON API endpoints.
Author: Carl Boettiger [aut, cre] (<https://orcid.org/0000-0002-1642-628X>), Quinn Thomas [aut] (<https://orcid.org/0000-0003-1282-7825>), Christine Laney [aut] (<https://orcid.org/0000-0002-4944-2083>), Claire Lunch [aut] (<https://orcid.org/0000-0001-8753-6593>), Noam Ross [ctb] (<https://orcid.org/0000-0002-2136-0000>)
Maintainer: Carl Boettiger <cboettig@gmail.com>

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Package linkcomm updated to version 1.0-13 with previous version 1.0-12 dated 2020-03-11

Title: Tools for Generating, Visualizing, and Analysing Link Communities in Networks
Description: Link communities reveal the nested and overlapping structure in networks, and uncover the key nodes that form connections to multiple communities. linkcomm provides a set of tools for generating, visualizing, and analysing link communities in networks of arbitrary size and type. The linkcomm package also includes tools for generating, visualizing, and analysing Overlapping Cluster Generator (OCG) communities. Kalinka and Tomancak (2011) <10.1093/bioinformatics/btr311>.
Author: Alex T. Kalinka <alex.t.kalinka@gmail.com>, with contributions from Alain Guenoche
Maintainer: Alex T. Kalinka <alex.t.kalinka@gmail.com>

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Package testComplexity (with last version 0.1.1) was removed from CRAN

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

2020-10-03 0.1.1
2020-09-22 0.1.0

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Package overdisp updated to version 0.1.1 with previous version 0.1.0 dated 2020-02-16

Title: Overdispersion in Count Data Multiple Regression Analysis
Description: Detection of overdispersion in count data for multiple regression analysis. Log-linear count data regression is one of the most popular techniques for predictive modeling where there is a non-negative discrete quantitative dependent variable. In order to ensure the inferences from the use of count data models are appropriate, researchers may choose between the estimation of a Poisson model and a negative binomial model, and the correct decision for prediction from a count data estimation is directly linked to the existence of overdispersion of the dependent variable, conditional to the explanatory variables. Based on the studies of Cameron and Trivedi (1990) <doi:10.1016/0304-4076(90)90014-K> and Cameron and Trivedi (2013, ISBN:978-1107667273), the overdisp() command is a contribution to researchers, providing a fast and secure solution for the detection of overdispersion in count data. Another advantage is that the installation of other packages is unnecessary, since the command runs in the basic R language.
Author: Rafael Freitas Souza [cre], Luiz Paulo Favero [ctb], Patricia Belfiore [ctb], Hamilton Luiz Correa [ctb], A. Colin Cameron [aut], Pravin Trivedi [aut]
Maintainer: Rafael Freitas Souza <fsrafael@usp.br>

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Package cognitoR updated to version 1.0.2 with previous version 1.0.1 dated 2020-04-15

Title: Authentication for 'Shiny' Apps with 'Amazon Cognito'
Description: Provides authentication for Shiny applications using 'Amazon Cognito' ( <https://aws.amazon.com/es/cognito/>).
Author: Pablo Pagnone [aut, cre], Aleksander Dietrichson [aut]
Maintainer: Pablo Pagnone <pablodp84@gmail.com>

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