Wed, 23 Jun 2021

Package MortCast updated to version 2.4-0 with previous version 2.3-0 dated 2020-05-29

Title: Estimation and Projection of Age-Specific Mortality Rates
Description: Age-specific mortality rates are estimated and projected using the Kannisto, Lee-Carter and related methods as described in Sevcikova et al. (2016) <doi:10.1007/978-3-319-26603-9_15>.
Author: Hana Sevcikova, Nan Li and Patrick Gerland
Maintainer: Hana Sevcikova <hanas@uw.edu>

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More information about MortCast at CRAN
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Package mlr3spatiotempcv updated to version 0.4.1 with previous version 0.4.0 dated 2021-06-03

Title: Spatiotemporal Resampling Methods for 'mlr3'
Description: Extends the mlr3 ML framework with spatio-temporal resampling methods to account for the presence of spatiotemporal autocorrelation (STAC) in predictor variables. STAC may cause highly biased performance estimates in cross-validation if ignored.
Author: Patrick Schratz [aut, cre] (<https://orcid.org/0000-0003-0748-6624>), Marc Becker [aut] (<https://orcid.org/0000-0002-8115-0400>), Jannes Muenchow [ctb] (<https://orcid.org/0000-0001-7834-4717>), Michel Lang [ctb] (<https://orcid.org/0000-0001-9754-0393>)
Maintainer: Patrick Schratz <patrick.schratz@gmail.com>

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Package metacoder updated to version 0.3.5 with previous version 0.3.4 dated 2020-04-29

Title: Tools for Parsing, Manipulating, and Graphing Taxonomic Abundance Data
Description: A set of tools for parsing, manipulating, and graphing data classified by a hierarchy (e.g. a taxonomy).
Author: Zachary Foster [aut, cre], Niklaus Grunwald [ths], Rob Gilmore [ctb]
Maintainer: Zachary Foster <zacharyfoster1989@gmail.com>

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Package polyqtlR updated to version 0.0.6 with previous version 0.0.5 dated 2021-03-10

Title: QTL Analysis in Autopolyploid Bi-Parental F1 Populations
Description: Quantitative trait loci (QTL) analysis and exploration of meiotic patterns in autopolyploid bi-parental F1 populations. For all ploidy levels, identity-by-descent (IBD) probabilities can be estimated. Significance thresholds, exploring QTL allele effects and visualising results are provided. For background, see the 2018 dissertation of P.M. Bourke <doi:10.18174/444415>.
Author: Peter Bourke [aut, cre], Christine Hackett [ctb], Chris Maliepaard [ctb], Geert van Geest [ctb], Roeland Voorrips [ctb], Johan Willemsen [ctb]
Maintainer: Peter Bourke <pbourkey@gmail.com>

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Package gert updated to version 1.3.1 with previous version 1.3.0 dated 2021-03-29

Title: Simple Git Client for R
Description: Simple git client for R based on 'libgit2' with support for SSH and HTTPS remotes. All functions in 'gert' use basic R data types (such as vectors and data-frames) for their arguments and return values. User credentials are shared with command line 'git' through the git-credential store and ssh keys stored on disk or ssh-agent.
Author: Jeroen Ooms [aut, cre] (<https://orcid.org/0000-0002-4035-0289>), Jennifer Bryan [ctb] (<https://orcid.org/0000-0002-6983-2759>)
Maintainer: Jeroen Ooms <jeroen@berkeley.edu>

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Package tiledb updated to version 0.9.4 with previous version 0.9.3 dated 2021-06-03

Title: Sparse and Dense Multidimensional Array Storage Engine for Data Science
Description: The data science storage engine 'TileDB' introduces a powerful on-disk format for multi-dimensional arrays. It supports dense and sparse arrays, dataframes and key-values stores, cloud storage ('S3', 'GCS', 'Azure'), chunked arrays, multiple compression, encryption and checksum filters, uses a fully multi-threaded implementation, supports parallel I/O, data versioning ('time travel'), metadata and groups. It is implemented as an embeddable cross-platform C++ library with APIs from several languages, and integrations.
Author: TileDB, Inc. [aut, cph], Dirk Eddelbuettel [cre]
Maintainer: Dirk Eddelbuettel <dirk@tiledb.com>

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Package cchsflow updated to version 1.8.2 with previous version 1.8.0 dated 2021-01-24

Title: Transforming and Harmonizing CCHS Variables
Description: Supporting the use of the Canadian Community Health Survey (CCHS) by transforming variables from each cycle into harmonized, consistent versions that span survey cycles (currently, 2001 to 2014). CCHS data used in this library is accessed and adapted in accordance to the Statistics Canada Open Licence Agreement. This package uses rec_with_table(), which was developed from 'sjmisc' rec(). Lüdecke D (2018). "sjmisc: Data and Variable Transformation Functions". Journal of Open Source Software, 3(26), 754. <doi:10.21105/joss.00754>.
Author: Doug Manuel [aut, cph] (<https://orcid.org/0000-0003-0912-0845>), Warsame Yusuf [aut, cre], Rostyslav Vyuha [aut], Carol Bennett [aut], Yulric Sequeira [ctb], The Ottawa Hospital [cph]
Maintainer: Warsame Yusuf <waryusuf@ohri.ca>

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Package RcppGSL updated to version 0.3.9 with previous version 0.3.8 dated 2020-06-21

Title: 'Rcpp' Integration for 'GNU GSL' Vectors and Matrices
Description: 'Rcpp' integration for 'GNU GSL' vectors and matrices The 'GNU Scientific Library' (or 'GSL') is a collection of numerical routines for scientific computing. It is particularly useful for C and C++ programs as it provides a standard C interface to a wide range of mathematical routines. There are over 1000 functions in total with an extensive test suite. The 'RcppGSL' package provides an easy-to-use interface between 'GSL' data structures and R using concepts from 'Rcpp' which is itself a package that eases the interfaces between R and C++. This package also serves as a prime example of how to build a package that uses 'Rcpp' to connect to another third-party library. The 'autoconf' script, 'inline' plugin and example package can all be used as a stanza to write a similar package against another library.
Author: Dirk Eddelbuettel and Romain Francois
Maintainer: Dirk Eddelbuettel <edd@debian.org>

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Package exactci updated to version 1.4-2 with previous version 1.3-3 dated 2017-10-02

Title: Exact P-Values and Matching Confidence Intervals for Simple Discrete Parametric Cases
Description: Calculates exact tests and confidence intervals for one-sample binomial and one- or two-sample Poisson cases (see Fay (2010) <doi:10.32614/rj-2010-008>).
Author: Michael P. Fay
Maintainer: Michael P. Fay <mfay@niaid.nih.gov>

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Package rticles updated to version 0.20 with previous version 0.19 dated 2021-03-04

Title: Article Formats for R Markdown
Description: A suite of custom R Markdown formats and templates for authoring journal articles and conference submissions.
Author: JJ Allaire [aut], Yihui Xie [aut, cre] (<https://orcid.org/0000-0003-0645-5666>), R Foundation [aut, cph], Hadley Wickham [aut], Journal of Statistical Software [aut, cph], RStudio [cph], Ramnath Vaidyanathan [aut, cph], Association for Computing Machinery [aut, cph], Carl Boettiger [aut, cph], Elsevier [aut, cph], Karl Broman [aut, cph], Kirill Mueller [aut, cph], Bastiaan Quast [aut, cph], Randall Pruim [aut, cph], Ben Marwick [aut, cph], Charlotte Wickham [aut, cph], Oliver Keyes [aut, cph], Miao Yu [aut, cph], Daniel Emaasit [aut, cph], Thierry Onkelinx [aut, cph], Alessandro Gasparini [aut, cph] (<https://orcid.org/0000-0002-8319-7624>), Marc-Andre Desautels [aut, cph], Dominik Leutnant [aut, cph] (<https://orcid.org/0000-0003-3293-2315>), MDPI [aut, cph], Taylor and Francis [aut, cph], Oğuzhan Öğreden [aut] (<https://orcid.org/0000-0002-9949-3348>), Dalton Hance [aut], Daniel Nüst [aut, cph] (<https://orcid.org/0000-0002-0024-5046>), Petter Uvesten [aut, cph], Elio Campitelli [aut, cph] (<https://orcid.org/0000-0002-7742-9230>), John Muschelli [aut, cph] (<https://orcid.org/0000-0001-6469-1750>), Alex Hayes [aut] (<https://orcid.org/0000-0002-4985-5160>), Zhian N. Kamvar [aut, cph] (<https://orcid.org/0000-0003-1458-7108>), Noam Ross [aut, cph] (<https://orcid.org/0000-0002-2136-0000>), Robrecht Cannoodt [aut, cph] (<https://orcid.org/0000-0003-3641-729X>, rcannood), Duncan Luguern [aut], David M. Kaplan [aut, ctb] (<https://orcid.org/0000-0001-6087-359X>, dmkaplan2000), Sebastian Kreutzer [aut] (<https://orcid.org/0000-0002-0734-2199>), Shixiang Wang [aut, ctb] (<https://orcid.org/0000-0001-9855-7357>), Jay Hesselberth [aut, ctb] (<https://orcid.org/0000-0002-6299-179X>), Alfredo Hernández [ctb] (<https://orcid.org/0000-0002-2660-4545>), Christophe Dervieux [aut] (<https://orcid.org/0000-0003-4474-2498>), Stefano Coretta [ctb] (<https://orcid.org/0000-0001-9627-5532>, stefanocoretta), Alvaro Uzaheta [ctb] (auzaheta)
Maintainer: Yihui Xie <xie@yihui.name>

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Package TotalCopheneticIndex updated to version 2.0.1 with previous version 2.0.0 dated 2021-01-28

Title: Quantify the Balance of Phylogenetic Trees
Description: Measures the degree of balance for a given phylogenetic tree by calculating the Total Cophenetic Index. Reference: A. Mir, F. Rossello, L. A. Rotger (2013). A new balance index for phylogenetic trees. Math. Biosci. 241, 125-136 <doi:10.1016/j.mbs.2012.10.005>.
Author: Martin R. Smith [aut, cre, cph] (<https://orcid.org/0000-0001-5660-1727>)
Maintainer: Martin R. Smith <martin.smith@durham.ac.uk>

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Package bbsBayes updated to version 2.3.7.2020 with previous version 2.3.6.2020 dated 2021-01-13

Title: Hierarchical Bayesian Analysis of North American BBS Data
Description: The North American Breeding Bird Survey (BBS) is a long-running program that seeks to monitor the status and trends of the breeding birds in North America. Since its start in 1966, the BBS has accumulated over 50 years of data for over 500 species of North American Birds. Given the temporal and spatial structure of the data, hierarchical Bayesian models are used to assess the status and trends of these 500+ species of birds. 'bbsBayes' allows you to perform hierarchical Bayesian analysis of BBS data. You can run a full model analysis for one or more species that you choose, or you can take more control and specify how the data should be stratified, prepared for 'JAGS', or modelled. The functions provided here allow you to replicate analyses performed by the United State Geological Survey (USGS, see Link and Sauer (2011) <doi:10.1525/auk.2010.09220>) and Canadian Wildlife Service (CWS, see Smith and Edwards (2020) <doi:10.1101/2020.03.26.010215>).
Author: Brandon P.M. Edwards [aut, cre], Adam C. Smith [aut]
Maintainer: Brandon P.M. Edwards <edwardsb@uoguelph.ca>

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Package DockerParallel updated to version 1.0.4 with previous version 1.0.3 dated 2021-06-07

Title: Using the Docker Container to Create R Workers on Local or Cloud Platform
Description: This is the core package that provides both the user API and developer API to deploy the parallel cluster on the cloud using the container service. The user can call clusterPreset() to define the cloud service provider and container and makeDockerCluster() to create the cluster. The developer should see "developer's cookbook" on how to define the cloud provider and container.
Author: Jiefei Wang [aut, cre]
Maintainer: Jiefei Wang <szwjf08@gmail.com>

Diff between DockerParallel versions 1.0.3 dated 2021-06-07 and 1.0.4 dated 2021-06-23

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Package UCSCXenaShiny updated to version 1.0.1 with previous version 1.0.0 dated 2021-05-16

Title: Interactive Analysis of UCSC Xena Data
Description: Provides functions and a Shiny application for downloading, analyzing and visualizing datasets from UCSC Xena (<http://xena.ucsc.edu/>), which is a collection of UCSC-hosted public databases such as TCGA, ICGC, TARGET, GTEx, CCLE, and others.
Author: Shixiang Wang [aut, cre] (<https://orcid.org/0000-0001-9855-7357>), Yi Xiong [aut] (<https://orcid.org/0000-0002-4370-9824>), Longfei Zhao [aut] (<https://orcid.org/0000-0002-6277-0137>), Kai Gu [aut] (<https://orcid.org/0000-0002-0177-0774>), Yin Li [aut], Fei Zhao [aut]
Maintainer: Shixiang Wang <w_shixiang@163.com>

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Package foqat updated to version 1.6.5 with previous version 1.6.4 dated 2021-03-28

Title: Field Observation Quick Analysis Toolkit
Description: Tools for quickly processing and analyzing field observation data and air quality data. This tools contain functions that facilitate analysis in atmospheric chemistry (especially in ozone pollution). Some functions of time series are also applicable to other fields. For detail please view homepage<https://github.com/tianshu129/foqat>. Scientific Reference: 1. The Hydroxyl Radical (OH) Reactivity: Roger Atkinson and Janet Arey (2003) <doi:10.1021/cr0206420>. 2. Ozone Formation Potential (OFP): <https://ww2.arb.ca.gov/sites/default/files/classic/regact/2009/mir2009/mir10.pdf>. 3. TUV model: <https://www2.acom.ucar.edu/modeling/tropospheric-ultraviolet-and-visible-tuv-radiation-model>.
Author: Tianshu Chen
Maintainer: Tianshu Chen <tianshu129@163.com>

Diff between foqat versions 1.6.4 dated 2021-03-28 and 1.6.5 dated 2021-06-23

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Package qpmadr updated to version 1.1.0-0 with previous version 0.1.0 dated 2020-08-06

Title: Interface to the 'qpmad' Quadratic Programming Solver
Description: Efficiently solve quadratic problems with linear inequality, equality and box constraints. The method used is outlined in D. Goldfarb, and A. Idnani (1983) <doi:10.1007/BF02591962>.
Author: Eric Anderson [aut, cre], Alexander Sherikov [cph, ctb]
Maintainer: Eric Anderson <anderic1@gmx.com>

Diff between qpmadr versions 0.1.0 dated 2020-08-06 and 1.1.0-0 dated 2021-06-23

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New package wcde with initial version 0.0.1
Package: wcde
Title: Download Data from the Wittgenstein Human Capital Data Explorer
Version: 0.0.1
Authors@R: c(person(given = c("Guy", "J."), family = "Abel", role = c("aut", "cre"), email = "g.j.abel@gmail.com", comment = c(ORCID = "0000-0002-4893-5687")), person(given = "Reiter", family = "Claudia", role = "ctb", comment = c(ORCID = "0000-0002-1485-3851")), person(given = "Yildiz", family = "Dilek", role = "ctb", comment = c(ORCID = "0000-0001-6192-0634")), person(given = "Samir", family = "K.C.", role = "ctb", comment = c(ORCID = "0000-0002-5213-9181")))
Description: Download and plot education specific demographic data from the Wittgenstein Human Capital Data Explorer <http://dataexplorer.wittgensteincentre.org/>.
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: dplyr, magrittr, tidyr, progress, countrycode, tibble, purrr, stringr, readr, forcats, tidyverse, lemon
Depends: R (>= 2.10)
Suggests: spelling, knitr, rmarkdown
VignetteBuilder: knitr
Language: en-US
NeedsCompilation: no
Packaged: 2021-06-23 07:27:15 UTC; Guy
Author: Guy J. Abel [aut, cre] (<https://orcid.org/0000-0002-4893-5687>), Reiter Claudia [ctb] (<https://orcid.org/0000-0002-1485-3851>), Yildiz Dilek [ctb] (<https://orcid.org/0000-0001-6192-0634>), Samir K.C. [ctb] (<https://orcid.org/0000-0002-5213-9181>)
Maintainer: Guy J. Abel <g.j.abel@gmail.com>
Repository: CRAN
Date/Publication: 2021-06-23 08:20:02 UTC

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New package rim with initial version 0.4.0
Package: rim
Title: R's Interface to Maxima, Bringing Symbolic Computation into R
Version: 0.4.0
Date: 2021-06-23
Authors@R: c( person("Kseniia", "Shumelchyk", email = "shumelchyk@gmail.com", role = c("aut")), person("Hans W.", "Borchers", email = "hwborchers@googlemail.com", role = c("aut")), person("Eric", "Stemmler", email = "stemmler.eric@gmail.com", role = c("aut", "cre")))
Description: Provides an interface to the powerful and fairly complete computer algebra system maxima. It can be used to start and control maxima from within R by entering 'Maxima' commands. It facilitates outputting results from 'Maxima' in 'LaTeX' and 'MathML'. 2D and 3D plots can be displayed directly. This package also registers a 'knitr'-engine enabling 'Maxima' code chunks to be written in 'RMarkdown' documents.
URL: https://rcst.github.io/rim/
BugReports: https://github.com/rcst/rim/issues
SystemRequirements: Maxima (>= 5.42.1)
License: GPL (>= 3)
Imports: methods, Rcpp, R6, knitr, stringr, digest
LinkingTo: Rcpp
Suggests: testthat (>= 3.0.0),
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2021-06-23 05:00:38 UTC; eric
Author: Kseniia Shumelchyk [aut], Hans W. Borchers [aut], Eric Stemmler [aut, cre]
Maintainer: Eric Stemmler <stemmler.eric@gmail.com>
Repository: CRAN
Date/Publication: 2021-06-23 08:10:01 UTC

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Package spatstat updated to version 2.2-0 with previous version 2.1-0 dated 2021-04-03

Title: Spatial Point Pattern Analysis, Model-Fitting, Simulation, Tests
Description: Comprehensive open-source toolbox for analysing Spatial Point Patterns. Focused mainly on two-dimensional point patterns, including multitype/marked points, in any spatial region. Also supports three-dimensional point patterns, space-time point patterns in any number of dimensions, point patterns on a linear network, and patterns of other geometrical objects. Supports spatial covariate data such as pixel images. Contains over 2000 functions for plotting spatial data, exploratory data analysis, model-fitting, simulation, spatial sampling, model diagnostics, and formal inference. Data types include point patterns, line segment patterns, spatial windows, pixel images, tessellations, and linear networks. Exploratory methods include quadrat counts, K-functions and their simulation envelopes, nearest neighbour distance and empty space statistics, Fry plots, pair correlation function, kernel smoothed intensity, relative risk estimation with cross-validated bandwidth selection, mark correlation functions, segregation indices, mark dependence diagnostics, and kernel estimates of covariate effects. Formal hypothesis tests of random pattern (chi-squared, Kolmogorov-Smirnov, Monte Carlo, Diggle-Cressie-Loosmore-Ford, Dao-Genton, two-stage Monte Carlo) and tests for covariate effects (Cox-Berman-Waller-Lawson, Kolmogorov-Smirnov, ANOVA) are also supported. Parametric models can be fitted to point pattern data using the functions ppm(), kppm(), slrm(), dppm() similar to glm(). Types of models include Poisson, Gibbs and Cox point processes, Neyman-Scott cluster processes, and determinantal point processes. Models may involve dependence on covariates, inter-point interaction, cluster formation and dependence on marks. Models are fitted by maximum likelihood, logistic regression, minimum contrast, and composite likelihood methods. A model can be fitted to a list of point patterns (replicated point pattern data) using the function mppm(). The model can include random effects and fixed effects depending on the experimental design, in addition to all the features listed above. Fitted point process models can be simulated, automatically. Formal hypothesis tests of a fitted model are supported (likelihood ratio test, analysis of deviance, Monte Carlo tests) along with basic tools for model selection (stepwise(), AIC()) and variable selection (sdr). Tools for validating the fitted model include simulation envelopes, residuals, residual plots and Q-Q plots, leverage and influence diagnostics, partial residuals, and added variable plots.
Author: Adrian Baddeley [aut, cre], Rolf Turner [aut], Ege Rubak [aut]
Maintainer: Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>

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Package RMVL updated to version 0.0.1.2 with previous version 0.0.1.0 dated 2021-06-22

Title: Mappable Vector Library for Handling Large Datasets
Description: Mappable vector library provides convenient way to access large datasets on solid state drives. This bypasses limitation of physical memory size as well as limited bandwidth of database interfaces. Access speed depends on storage medium, so solid state drive is recommended, preferably with PCI Express (or M.2 nvme) interface. The data is memory mapped into R and then accessed using usual R list and array subscription operators. The layout of underlying MVL files is optimized for large datasets. The vectors are stored to guarantee alignment for vector intrinsics after memory map. The package is built on top of libMVL, which can be used as standalone C library. libMVL has simple C API making it easy to interchange of datasets with outside programs.
Author: Vladimir Dergachev [aut, cre] (<https://orcid.org/0000-0003-4708-6625>)
Maintainer: Vladimir Dergachev <support@altumrete.com>

Diff between RMVL versions 0.0.1.0 dated 2021-06-22 and 0.0.1.2 dated 2021-06-23

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New package RHRT with initial version 1.0
Package: RHRT
Title: Heart Rate Turbulence Analysis
Version: 1.0
Date: 2021-06-17
Authors@R: person(role = c("aut", "cre"), given = "Valeria", family = "Blesius", email = "valeria.blesius@mni.thm.de", comment = c(ORCID = "0000-0002-2391-242X"))
BugReports: https://github.com/VBlesius/RHRT/issues
Description: Methods to scan RR interval data for Premature Ventricular Complexes (PVCs) and parameterise and plot the resulting Heart Rate Turbulence (HRT). The methodology of HRT analysis is based on the original publication by Schmidt et al. <doi:10.1016/S0140-6736(98)08428-1> and extended with suggestions from <doi:10.1088/1361-6579/ab98b3>.
Depends: R (>= 3.5.0)
License: GPL-2
LazyData: TRUE
Imports: methods, graphics, utils
Suggests: knitr, rmarkdown, testthat, matrixStats
VignetteBuilder: knitr
Collate: 'HRT.R' 'avHRT.R' 'HRTList.R' 'Testdata-description.R' 'constants.R' 'conversion_to_HRT.R' 'roll.R'
NeedsCompilation: no
Packaged: 2021-06-22 19:51:37 UTC; blesius
Author: Valeria Blesius [aut, cre] (<https://orcid.org/0000-0002-2391-242X>)
Maintainer: Valeria Blesius <valeria.blesius@mni.thm.de>
Repository: CRAN
Date/Publication: 2021-06-23 08:00:04 UTC

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New package parallelMCMCcombine with initial version 2.0
Package: parallelMCMCcombine
Title: Combining Subset MCMC Samples to Estimate a Posterior Density
Version: 2.0
Date: 2021-06-18
Author: Alexey Miroshnikov, Erin Conlon
Maintainer: Erin Conlon <econlon@umass.edu>
Description: See Miroshnikov and Conlon (2014) <doi:10.1371/journal.pone.0108425>. Recent Bayesian Markov chain Monto Carlo (MCMC) methods have been developed for big data sets that are too large to be analyzed using traditional statistical methods. These methods partition the data into non-overlapping subsets, and perform parallel independent Bayesian MCMC analyses on the data subsets, creating independent subposterior samples for each data subset. These independent subposterior samples are combined through four functions in this package, including averaging across subset samples, weighted averaging across subsets samples, and kernel smoothing across subset samples. The four functions assume the user has previously run the Bayesian analysis and has produced the independent subposterior samples outside of the package; the functions use as input the array of subposterior samples. The methods have been demonstrated to be useful for Bayesian MCMC models including Bayesian logistic regression, Bayesian Gaussian mixture models and Bayesian hierarchical Poisson-Gamma models. The methods are appropriate for Bayesian hierarchical models with hyperparameters, as long as data values in a single level of the hierarchy are not split into subsets.
Depends: mvtnorm
License: GPL (>= 2)
Packaged: 2021-06-23 01:55:38 UTC; admin1
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2021-06-23 07:20:02 UTC

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New package nhdplusTools with initial version 0.4.2
Package: nhdplusTools
Title: NHDPlus Tools
Version: 0.4.2
Authors@R: c(person(given = "David", family = "Blodgett", role = c("aut", "cre"), email = "dblodgett@usgs.gov"), person(given = "Mike", family = "Johnson", role = "ctb", comment = c(ORCID = "0000-0002-5288-8350")))
Description: Tools for traversing and working with National Hydrography Dataset Plus (NHDPlus) data. All methods implemented in 'nhdplusTools' are available in the NHDPlus documentation available from the US Environmental Protection Agency <https://www.epa.gov/waterdata/basic-information>.
URL: https://usgs-r.github.io/nhdplusTools/ https://github.com/usgs-r/nhdplusTools/
BugReports: https://github.com/usgs-r/nhdplusTools/issues/
Depends: R (>= 4.0)
Imports: dplyr, sf, RANN, units, magrittr, jsonlite, httr, igraph, xml2, R.utils, utils, tidyr, methods, rosm, prettymapr, fst, dataRetrieval, tools, zip, pbapply
Suggests: testthat, knitr, rmarkdown, markdown, ggmap, ggplot2, sp, lwgeom, devtools, codetools, data.table, parallel
License: CC0
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-06-22 13:27:12 UTC; dblodgett
Author: David Blodgett [aut, cre], Mike Johnson [ctb] (<https://orcid.org/0000-0002-5288-8350>)
Maintainer: David Blodgett <dblodgett@usgs.gov>
Repository: CRAN
Date/Publication: 2021-06-23 07:30:01 UTC

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Package lsasim updated to version 2.1.0 with previous version 2.0.2 dated 2020-09-10

Title: Functions to Facilitate the Simulation of Large Scale Assessment Data
Description: Provides functions to simulate data from large-scale educational assessments, including background questionnaire data and cognitive item responses that adhere to a multiple-matrix sampled design. The theoretical foundation can be found on Matta, T.H., Rutkowski, L., Rutkowski, D. et al. (2018) <doi:10.1186/s40536-018-0068-8>.
Author: Tyler Matta [aut], Leslie Rutkowski [aut], David Rutkowski [aut], Yuan-Ling Linda Liaw [aut], Kondwani Kajera Mughogho [ctb], Waldir Leoncio [aut, cre], Sinan Yavuz [ctb], Paul Bailey [ctb]
Maintainer: Waldir Leoncio <w.l.netto@medisin.uio.no>

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New package etrm with initial version 1.0.1
Package: etrm
Title: Energy Trading and Risk Management
Version: 1.0.1
Date: 2021-06-22
Author: Anders D. Sleire
Maintainer: Anders D. Sleire <sleire@gmail.com>
Description: Provides a collection of functions to perform core tasks within Energy Trading and Risk Management (ETRM). Calculation of maximum smoothness forward price curves for electricity and natural gas contracts with flow delivery, as presented in F. E. Benth, S. Koekebakker, and F. Ollmar (2007) <doi:10.3905/jod.2007.694791> and F. E. Benth, J. S. Benth, and S. Koekebakker (2008) <doi:10.1142/6811>. Portfolio insurance trading strategies for price risk management in the forward market, see F. Black (1976) <doi:10.1016/0304-405X(76)90024-6>, T. Bjork (2009) <https://EconPapers.repec.org/RePEc:oxp:obooks:9780199574742>, F. Black and R. W. Jones (1987) <doi:10.3905/jpm.1987.409131> and H. E. Leland (1980) <http://www.jstor.org/stable/2327419>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: TRUE
Imports: ggplot2, reshape2, methods
Suggests: testthat, knitr, rmarkdown, markdown
VignetteBuilder: knitr
Depends: R (>= 3.5.0)
NeedsCompilation: no
Packaged: 2021-06-22 13:35:24 UTC; anders
Repository: CRAN
Date/Publication: 2021-06-23 07:30:05 UTC

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Package DSLite updated to version 1.3.0 with previous version 1.2.0 dated 2021-03-16

Title: 'DataSHIELD' Implementation on Local Datasets
Description: 'DataSHIELD' is an infrastructure and series of R packages that enables the remote and 'non-disclosive' analysis of sensitive research data. This 'DataSHIELD Interface' implementation is for analyzing datasets living in the current R session. The purpose of this is primarily for lightweight 'DataSHIELD' analysis package development.
Author: Yannick Marcon [aut, cre] (<https://orcid.org/0000-0003-0138-2023>)
Maintainer: Yannick Marcon <yannick.marcon@obiba.org>

Diff between DSLite versions 1.2.0 dated 2021-03-16 and 1.3.0 dated 2021-06-23

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New package dbglm with initial version 1.0.0
Package: dbglm
Title: Generalised Linear Models by Subsampling and One-Step Polishing
Version: 1.0.0
Authors@R: c( person("Thomas", "Lumley", , "t.lumley@auckland.ac.nz", role = c("aut", "cph")), person("Shangqing", "Cao", , "caoalbert@g.ucla.edu", role = c("ctb", "cre")) )
Description: Fast fitting of generalised linear models on moderately large datasets, by taking an initial sample, fitting in memory, then evaluating the score function for the full data in the database. Thomas Lumley <doi:10.1080/10618600.2019.1610312>.
Imports: DBI, tidypredict, rlang, methods, tidyverse, dbplyr, vctrs, knitr, dplyr, purrr, tibble, tidyr, stringr
Suggests: RSQLite, duckdb, bigrquery, testthat (>= 3.0.0)
License: MIT + file LICENSE
Maintainer: Shangqing Cao <caoalbert@g.ucla.edu>
Encoding: UTF-8
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2021-06-23 03:00:58 UTC; apple
Author: Thomas Lumley [aut, cph], Shangqing Cao [ctb, cre]
Repository: CRAN
Date/Publication: 2021-06-23 08:00:02 UTC

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New package bravo with initial version 1.0.5
Package: bravo
Title: Bayesian Screening and Variable Selection
Version: 1.0.5
Author: Dongjin Li [aut, cre], Somak Dutta [aut], Vivekananda Roy [ctb]
Maintainer: Dongjin Li <dongjl@iastate.edu>
Description: Performs Bayesian variable selection with embedded screening for ultra-high dimensional Gaussian linear regression models. The methodology is described in Li, Dutta and Roy (2020) <arXiv:2006.07561>.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.0.2), methods
Imports: Rcpp (>= 1.0.2), Matrix (>= 1.2-17)
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2021-06-18 16:04:59 UTC; somakd
Repository: CRAN
Date/Publication: 2021-06-23 07:20:04 UTC

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New package BiplotML with initial version 1.0.1
Package: BiplotML
Title: Biplots Estimation with Algorithms ML
Version: 1.0.1
Date: 2021-05-30
Authors@R: person(given = "Jose Giovany", family = "Babativa-Marquez", role = c("cre", "aut"), email = "gbabativam@gmail.com", comment = c(ORCID = "0000-0002-4989-7459"))
Maintainer: Jose Giovany Babativa-Marquez <gbabativam@gmail.com>
Depends: R (>= 4.1), optimr, optimx, shapes
Description: Logistic Biplot is a method that allows representing multivariate binary data on a subspace of low dimension, where each individual is represented by a point and each variable as vectors directed through the origin. The orthogonal projection of individuals onto these vectors predicts the expected probability that the characteristic occurs. The package contains new techniques to estimate the model parameters and constructs in each case the 'Logistic-Biplot'. References can be found in the help of each procedure.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Suggests: testthat, knitr, rmarkdown, RSpectra, dplyr (>= 1.0.0), tidyr (>= 1.1.0), ggplot2 (>= 3.3.2), ggrepel, pracma, mvtnorm
URL: https://github.com/jgbabativam/BiplotML
BugReports: https://github.com/jgbabativam/BiplotML/issues
NeedsCompilation: no
Packaged: 2021-06-22 20:58:04 UTC; ASUS
Author: Jose Giovany Babativa-Marquez [cre, aut] (<https://orcid.org/0000-0002-4989-7459>)
Repository: CRAN
Date/Publication: 2021-06-23 08:00:08 UTC

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New package ariExtra with initial version 0.3.1
Package: ariExtra
Version: 0.3.1
Title: Tools for Creating Automated Courses
Description: Leverages the 'ari' package and other tools to create automated courses from slides and a script. Also, uploads these to 'YouTube' and other services using 'tuber' package.
Authors@R: c(person(given = "John",family = "Muschelli", email = "muschellij2@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0001-6469-1750")) )
License: GPL-3
Imports: xml2, httr, utils, ari (>= 0.2.3), rmarkdown, pdftools, rvest, magrittr, mime, tools, stats, jsonlite, text2speech (>= 0.2.8), docxtractr (>= 0.6.2), tuneR, yaml
Suggests: knitr, covr, testthat, pagedown, webshot, rstudioapi, base64enc, xaringan
Encoding: UTF-8
ByteCompile: true
VignetteBuilder: knitr
URL: https://github.com/jhudsl/ariExtra
BugReports: https://github.com/jhudsl/ariExtra/issues
NeedsCompilation: no
Packaged: 2021-06-22 18:13:47 UTC; johnmuschelli
Author: John Muschelli [aut, cre] (<https://orcid.org/0000-0001-6469-1750>)
Maintainer: John Muschelli <muschellij2@gmail.com>
Repository: CRAN
Date/Publication: 2021-06-23 07:20:07 UTC

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Package TreeTools updated to version 1.4.5 with previous version 1.4.4 dated 2021-04-20

Title: Create, Modify and Analyse Phylogenetic Trees
Description: Efficient implementations of functions for the creation, modification and analysis of phylogenetic trees. Applications include: generation of trees with specified shapes; analysis of tree shape; rooting of trees and extraction of subtrees; calculation and depiction of node support; calculation of ancestor-descendant relationships; import and export of trees from Newick, Nexus (Maddison et al. 1997) <doi:10.1093/sysbio/46.4.590>, and TNT <http://www.lillo.org.ar/phylogeny/tnt/> formats; and analysis of splits and cladistic information.
Author: Martin R. Smith [aut, cre, cph] (<https://orcid.org/0000-0001-5660-1727>), Emmanuel Paradis [cph] (<https://orcid.org/0000-0003-3092-2199>)
Maintainer: Martin R. Smith <martin.smith@durham.ac.uk>

Diff between TreeTools versions 1.4.4 dated 2021-04-20 and 1.4.5 dated 2021-06-23

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 TreeTools-1.4.5/TreeTools/NAMESPACE                                  |   11 
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New package tidytreatment with initial version 0.2.0
Package: tidytreatment
Title: Tidy Methods for Bayesian Treatment Effect Models
Version: 0.2.0
Authors@R: person("Joshua J", "Bon", email = "joshuajbon@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0003-2313-2949"))
Description: Functions for extracting tidy data from Bayesian treatment effect models, in particular BART, but extensions are possible. Functionality includes extracting tidy posterior summaries as in 'tidybayes' <https://github.com/mjskay/tidybayes>, estimating (average) treatment effects, common support calculations, and plotting useful summaries of these.
Encoding: UTF-8
LazyData: true
License: MIT + file LICENSE
URL: https://github.com/bonStats/tidytreatment
BugReports: https://github.com/bonStats/tidytreatment/issues
Depends: R (>= 3.1.0)
Suggests: knitr, rmarkdown, BART, ggplot2, testthat (>= 3.0.0), withr
VignetteBuilder: knitr
Imports: tidybayes, purrr, tidyr, dplyr, readr, rlang
Enhances: bartMachine
NeedsCompilation: no
Packaged: 2021-06-22 10:59:04 UTC; bon
Author: Joshua J Bon [aut, cre] (<https://orcid.org/0000-0003-2313-2949>)
Maintainer: Joshua J Bon <joshuajbon@gmail.com>
Repository: CRAN
Date/Publication: 2021-06-23 06:50:02 UTC

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Package scraEP updated to version 1.2 with previous version 1.1 dated 2018-07-03

Title: Scrape the Web with Extra Power
Description: Tools for scraping information from webpages and other XML contents, using XPath or CSS selectors.
Author: Julien Boelaert <jubo.stats@gmail.com>
Maintainer: Julien Boelaert <jubo.stats@gmail.com>

Diff between scraEP versions 1.1 dated 2018-07-03 and 1.2 dated 2021-06-23

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Package SCCS updated to version 1.3 with previous version 1.2 dated 2020-10-01

Title: The Self-Controlled Case Series Method
Description: Various self-controlled case series models used to investigate associations between time-varying exposures such as vaccines or other drugs or non drug exposures and an adverse event can be fitted. Detailed information on the self-controlled case series method and its extensions with more examples can be found in Farrington, P., Whitaker, H., and Ghebremichael Weldeselassie, Y. (2018, ISBN: 978-1-4987-8159-6. Self-controlled Case Series studies: A modelling Guide with R. Boca Raton: Chapman & Hall/CRC Press) and <https://sccs-studies.info>.
Author: Yonas Ghebremichael Weldeselassie, Heather Whitaker, Paddy Farrington
Maintainer: "Yonas Ghebremichael-Weldeselassie" <y.weldeselassie@warwick.ac.uk>

Diff between SCCS versions 1.2 dated 2020-10-01 and 1.3 dated 2021-06-23

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 9 files changed, 1127 insertions(+), 1124 deletions(-)

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New package quickNmix with initial version 1.0.3
Package: quickNmix
Title: Asymptotic N-Mixture Model Fitting
Version: 1.0.3
Date: 2021-06-20
Maintainer: Matthew RP Parker <mrparker909@gmail.com>
Authors@R: c(person(given = "Matthew RP", family = "Parker", role = c("aut", "cre"), email = "mrparker909@gmail.com", comment = c(ORCID = "0000-0003-3021-7959")), person(given = "Lloyd", family = "Elliott", role = c("aut"), email = "lloyd_elliott@sfu.ca", comment = c(ORCID = "0000-0003-2187-7314")), person(given = "Laura LE", family = "Cowen", role = c("aut"), email = "lcowen@uvic.ca", comment = c(ORCID = "0000-0002-0853-1450")), person(given = "Jiguo", family = "Cao", role = c("aut"), email = "jiguo_cao@sfu.ca", comment = c(ORCID = "0000-0001-7417-6330")) )
Description: For fitting asymptotic N-mixture models. Asymptotic N-mixture models extend the work of Dail and Madsen (2011) <doi:10.1111/j.1541-0420.2010.01465.x>, to consider asymptotic solutions to the open population N-mixture models. The asymptotic models are derived and described in: "Parker, M.R.P., Elliott, L., Cowen, L.L.E., Cao, J. (2021). Asymptotic solutions for N-mixture models with count data [Manuscript in preparation]. Department of Statistics and Actuarial Sciences, Simon Fraser University.".
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Suggests: testthat, knitr, rmarkdown
Depends: R (>= 2.10)
Imports: foreach, doParallel
NeedsCompilation: no
Packaged: 2021-06-21 18:12:36 UTC; Matthew
Author: Matthew RP Parker [aut, cre] (<https://orcid.org/0000-0003-3021-7959>), Lloyd Elliott [aut] (<https://orcid.org/0000-0003-2187-7314>), Laura LE Cowen [aut] (<https://orcid.org/0000-0002-0853-1450>), Jiguo Cao [aut] (<https://orcid.org/0000-0001-7417-6330>)
Repository: CRAN
Date/Publication: 2021-06-23 06:30:02 UTC

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New package MIIPW with initial version 0.1.0
Package: MIIPW
Title: IPW and Mean Score Methods for Time-Course Missing Data
Version: 0.1.0
Maintainer: Atanu Bhattacharjee <atanustat@gmail.com>
Description: Contains functions for data analysis of Repeated measurement continuous,categorical data using MCMC. Data may contain missing value in response and covariates. Mean Score Method and Inverse Probability Weighted method for parameter estimation when there is missing value in covariates are also included. Reference for mean score method, inverse probability weighted method is Wang et al(2007)<doi:10.1093/biostatistics/kxl024>.
Authors@R: c(person(("Atanu"), "Bhattacharjee", email="atanustat@gmail.com", role=c("aut", "cre","ctb")), person(("Bhrigu Kumar"), "Rajbongshi", role=c("aut","ctb")), person(("Gajendra K"), "Vishwakarma", role=c("aut","ctb")))
Imports: R2jags, utils,matlib,stats
License: GPL-3
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2021-06-22 05:51:00 UTC; Dell
Author: Atanu Bhattacharjee [aut, cre, ctb], Bhrigu Kumar Rajbongshi [aut, ctb], Gajendra K Vishwakarma [aut, ctb]
Repository: CRAN
Date/Publication: 2021-06-23 06:30:10 UTC

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New package mappings with initial version 0.1
Package: mappings
Version: 0.1
Date: 2021-06-21
Title: Functions for Transforming Categorical Variables
Authors@R: person("Benjamin", "Rich", role=c("aut", "cre", "cph"), email="mail@benjaminrich.net")
URL: https://github.com/benjaminrich/mappings
BugReports: https://github.com/benjaminrich/mappings/issues
Description: Easily create functions to map between different sets of values, such as for re-labelling categorical variables.
License: GPL-3
Imports:
Suggests: testthat
Language: en-US
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2021-06-19 14:44:21 UTC; ben
Author: Benjamin Rich [aut, cre, cph]
Maintainer: Benjamin Rich <mail@benjaminrich.net>
Repository: CRAN
Date/Publication: 2021-06-23 06:30:05 UTC

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New package hrqglas with initial version 1.0
Package: hrqglas
Title: Group Variable Selection for Quantile and Robust Mean Regression
Version: 1.0
Date: 2021-06-19
Authors@R: c(person("Shaobo", "Li", email="shaobo.li@ku.edu", role=c("aut", "cre")), person("Ben", "Sherwood", email="ben.sherwood@ku.edu", role=c("aut")))
Maintainer: Shaobo Li <shaobo.li@ku.edu>
Description: A program that conducts group variable selection for quantile and robust mean regression (Sherwood and Li, 2021). The group lasso penalty (Yuan and Lin, 2006) is used for group-wise variable selection. Both of the quantile and mean regression models are based on the Huber loss. Specifically, with the tuning parameter in the Huber loss approaching to 0, the quantile check function can be approximated by the Huber loss for the median and the tilted version of Huber loss at other quantiles. Such approximation provides computational efficiency and stability, and has also been shown to be statistical consistent.
URL: GitHub: https://github.com/shaobo-li/hrqglas
License: GPL (>= 2)
Imports: Rcpp (>= 1.0.4), stats, MASS, Matrix, graphics
LinkingTo: Rcpp
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2021-06-21 18:26:14 UTC; s674l142
Author: Shaobo Li [aut, cre], Ben Sherwood [aut]
Repository: CRAN
Date/Publication: 2021-06-23 06:20:02 UTC

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New package genSEIR with initial version 0.1.0
Package: genSEIR
Title: Predict Epidemic Curves with Generalized SEIR Modeling
Version: 0.1.0
Author: Selcuk Korkmaz
Maintainer: Selcuk Korkmaz <selcukorkmaz@gmail.com>
Depends: R (>= 3.5.0)
Imports: pracma, minpack.lm, nlsr, ggplot2
Description: Performs generalized Susceptible-Exposed-Infected-Recovered (SEIR) modeling to predict epidemic curves. The method is described in Peng et al. (2020) <doi:10.1101/2020.02.16.20023465>.
License: GPL (>= 2)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2021-06-21 19:51:07 UTC; selcukkorkmaz
Repository: CRAN
Date/Publication: 2021-06-23 06:30:07 UTC

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Package ergm.ego updated to version 1.0.0 with previous version 0.9.0 dated 2021-06-21

Title: Fit, Simulate and Diagnose Exponential-Family Random Graph Models to Egocentrically Sampled Network Data
Description: Utilities for managing egocentrically sampled network data and a wrapper around the 'ergm' package to facilitate ERGM inference and simulation from such data. See Krivitsky and Morris (2017) <doi:10.1214/16-AOAS1010>.
Author: Pavel N. Krivitsky [aut, cre] (<https://orcid.org/0000-0002-9101-3362>), Steven M. Goodreau [ctb], Martina Morris [ctb], Kirk Li [ctb], Emily N. Beylerian [ctb], Michał Bojanowski [ctb] (<https://orcid.org/0000-0001-7503-852X>), Chad Klumb [ctb]
Maintainer: Pavel N. Krivitsky <p.krivitsky@unsw.edu.au>

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Package curl updated to version 4.3.2 with previous version 4.3.1 dated 2021-04-30

Title: A Modern and Flexible Web Client for R
Description: The curl() and curl_download() functions provide highly configurable drop-in replacements for base url() and download.file() with better performance, support for encryption (https, ftps), gzip compression, authentication, and other 'libcurl' goodies. The core of the package implements a framework for performing fully customized requests where data can be processed either in memory, on disk, or streaming via the callback or connection interfaces. Some knowledge of 'libcurl' is recommended; for a more-user-friendly web client see the 'httr' package which builds on this package with http specific tools and logic.
Author: Jeroen Ooms [aut, cre] (<https://orcid.org/0000-0002-4035-0289>), Hadley Wickham [ctb], RStudio [cph]
Maintainer: Jeroen Ooms <jeroen@berkeley.edu>

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Package clusteval (with last version 0.1) was removed from CRAN

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

2012-08-31 0.1

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Package salesforcer (with last version 0.2.2) was removed from CRAN

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

2020-09-09 0.2.2
2020-07-21 0.2.0
2020-06-13 0.1.4
2019-06-10 0.1.3
2018-04-13 0.1.2

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Package selac (with last version 1.7.5) was removed from CRAN

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

2020-06-18 1.7.5

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Package RPEClust (with last version 0.1.0) was removed from CRAN

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

2019-11-06 0.1.0

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Package cemco (with last version 0.1) was removed from CRAN

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

2020-04-29 0.1

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Package xaringan updated to version 0.22 with previous version 0.21 dated 2021-05-19

Title: Presentation Ninja
Description: Create HTML5 slides with R Markdown and the JavaScript library 'remark.js' (<https://remarkjs.com>).
Author: Yihui Xie [aut, cre] (<https://orcid.org/0000-0003-0645-5666>), Alessandro Gasparini [ctb] (<https://orcid.org/0000-0002-8319-7624>), Benjie Gillam [ctb], Claus Thorn Ekstrøm [ctb], Daniel Anderson [ctb], Dawei Lang [ctb], Deo Salil [ctb], Emi Tanaka [ctb], Garrick Aden-Buie [ctb] (<https://orcid.org/0000-0002-7111-0077>), Iñaki Ucar [ctb] (<https://orcid.org/0000-0001-6403-5550>), John Little [ctb], Joselyn Chávez [ctb] (<https://orcid.org/0000-0002-4974-4591>), Joseph Casillas [ctb], Lucy D'Agostino McGowan [ctb] (<https://orcid.org/0000-0001-7297-9359>), Malcolm Barrett [ctb] (<https://orcid.org/0000-0003-0299-5825>), Matthew Mark Strasiotto [ctb] (mstr3336), Michael Wayne Kearney [ctb], Nan-Hung Hsieh [ctb], Ole Petter Bang [ctb] (CSS in rmarkdown/templates/xaringan/resources/default.css), Patrick Schratz [ctb], Paul Klemm [ctb] (<https://orcid.org/0000-0002-5985-1737>), Paul Lemmens [ctb], Sean Lopp [ctb], Silvia Canelon [ctb] (<https://orcid.org/0000-0003-1709-1394>), Susan VanderPlas [ctb] (<https://orcid.org/0000-0002-3803-0972>), Tuo Wang [ctb], Waldir Leoncio [ctb], Yongfu Liao [ctb], Yue Jiang [ctb] (<https://orcid.org/0000-0002-9798-5517>), Zhian N. Kamvar [ctb] (<https://orcid.org/0000-0003-1458-7108>)
Maintainer: Yihui Xie <xie@yihui.name>

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Package utilities updated to version 0.3.0 with previous version 0.1.0 dated 2021-01-14

Title: Data Utility Functions
Description: Data utility functions for use in probability and statistics. Includes functions for computing higher-moments for samples and their decompositions. Also includes utilities to examine functional mappings between factor variables and other variables in a data set.
Author: Ben O'Neill [aut, cre]
Maintainer: Ben O'Neill <ben.oneill@hotmail.com>

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Package superb updated to version 0.9.7.5 with previous version 0.9.5.0 dated 2021-04-21

Title: Summary Plots with Adjusted Error Bars
Description: Computes standard error and confidence interval of various descriptive statistics under various designs and sampling schemes. The main function, superbPlot(), can either return a plot or a dataframe with the statistic and its precision interval so that other plotting package can be used. See Cousineau (2017) <doi:10.5709/acp-0214-z> for a review or Cousineau (2005) <doi:10.20982/tqmp.01.1.p042>, Morey (2008) <doi:10.20982/tqmp.04.2.p061>, Baguley (2012) <doi:10.3758/s13428-011-0123-7>, Cousineau & Laurencelle (2016) <doi:10.1037/met0000055>, Cousineau & O'Brien (2014) <doi:10.3758/s13428-013-0441-z>, Calderini & Harding <doi:10.20982/tqmp.15.1.p001>.
Author: Denis Cousineau [aut, cre], Bradley Harding [ctb], Marc-Andre Goulet [ctb], Jesika Walker [art]
Maintainer: Denis Cousineau <denis.cousineau@uottawa.ca>

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Package pagedown updated to version 0.15 with previous version 0.14 dated 2021-04-14

Title: Paginate the HTML Output of R Markdown with CSS for Print
Description: Use the paged media properties in CSS and the JavaScript library 'paged.js' to split the content of an HTML document into discrete pages. Each page can have its page size, page numbers, margin boxes, and running headers, etc. Applications of this package include books, letters, reports, papers, business cards, resumes, and posters.
Author: Yihui Xie [aut, cre] (<https://orcid.org/0000-0003-0645-5666>), Romain Lesur [aut, cph] (<https://orcid.org/0000-0002-0721-5595>), Brent Thorne [aut] (<https://orcid.org/0000-0002-1099-3857>), Xianying Tan [aut] (<https://orcid.org/0000-0002-6072-3521>), Christophe Dervieux [ctb] (<https://orcid.org/0000-0003-4474-2498>), Atsushi Yasumoto [ctb] (<https://orcid.org/0000-0002-8335-495X>), RStudio, PBC [cph], Adam Hyde [ctb] (paged.js in resources/js/), Min-Zhong Lu [ctb] (resume.css in resources/css/), Zulko [ctb] (poster-relaxed.css in resources/css/)
Maintainer: Yihui Xie <xie@yihui.name>

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Package MSG updated to version 0.7 with previous version 0.6 dated 2020-11-30

Title: Data and Functions for the Book Modern Statistical Graphics
Description: A companion to the Chinese book ``Modern Statistical Graphics''.
Author: Yihui Xie [aut, cre] (<https://orcid.org/0000-0003-0645-5666>), Peng Zhao [aut], Lijia Yu [ctb], Xiangyun Huang [ctb]
Maintainer: Yihui Xie <xie@yihui.name>

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Package mime updated to version 0.11 with previous version 0.10 dated 2021-02-13

Title: Map Filenames to MIME Types
Description: Guesses the MIME type from a filename extension using the data derived from /etc/mime.types in UNIX-type systems.
Author: Yihui Xie [aut, cre] (<https://orcid.org/0000-0003-0645-5666>), Jeffrey Horner [ctb], Beilei Bian [ctb]
Maintainer: Yihui Xie <xie@yihui.name>

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Package MDMAPR updated to version 0.2.3 with previous version 0.2.2 dated 2021-04-06

Title: Molecular Detection Mapping and Analysis Platform
Description: Runs a Shiny web application that merges raw 'qPCR' fluorescence data with related metadata to visualize species presence/absence detection patterns and assess data quality. The application calculates threshold values from raw fluorescence data using a method based on the second derivative method, Luu-The et al (2005) <doi:10.2144/05382RR05>, and utilizes the ‘chipPCR’ package by Rödiger, Burdukiewicz, & Schierack (2015) <doi:10.1093/bioinformatics/btv205> to calculate Cq values. The application has the ability to connect to a custom developed MySQL database to populate the applications interface. The application allows users to interact with visualizations such as a dynamic map, amplification curves and standard curves, that allow for zooming and/or filtering. It also enables the generation of customized exportable reports based on filtered mapping data.
Author: Alka Benawra <alkabenawra@rogers.com>
Maintainer: Alka Benawra <alkabenawra@rogers.com>

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