Mon, 23 Jul 2018

Package osqp updated to version 0.4.0 with previous version 0.3.1 dated 2018-07-01

Title: Quadratic Programming Solver using the 'OSQP' Library
Description: Provides bindings to the 'OSQP' solver. The 'OSQP' solver is a numerical optimization package or solving convex quadratic programs written in 'C' and based on the alternating direction method of multipliers, 'ADMM'. B. Stellato, G. Banjac, P. Goulart, A. Bemporad, S. Boyd (2018) <arXiv:1711.08013>.
Author: Bartolomeo Stellato [cre, aut, ctb, cph], Goran Banjac [aut, ctb, cph], Paul Goulart [aut, ctb, cph], Stephen Boyd [aut, ctb, cph], Eric Anderson [ctb]
Maintainer: Bartolomeo Stellato <bartolomeo.stellato@gmail.com>

Diff between osqp versions 0.3.1 dated 2018-07-01 and 0.4.0 dated 2018-07-23

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Package RRPP updated to version 0.3.0 with previous version 0.2.0 dated 2018-04-22

Title: Linear Model Evaluation with Randomized Residuals in a Permutation Procedure
Description: Linear model calculations are made for many random versions of data. Using residual randomization in a permutation procedure, sums of squares are calculated over many permutations to generate empirical probability distributions for evaluating model effects. This method is described by Collyer, Sekora, & Adams (2015) <doi:10.1038/hdy.2014.75>. Additionally, coefficients, statistics, fitted values, and residuals generated over many permutations can be used for various procedures including pairwise tests, prediction, classification, and model comparison. This package should provide most tools one could need for the analysis of high-dimensional data, especially in ecology and evolutionary biology, but certainly other fields, as well.
Author: Michael Collyer, Dean Adams
Maintainer: Michael Collyer <mlcollyer@gmail.com>

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Package trackr updated to version 0.9.4 with previous version 0.7.5 dated 2018-03-01

Title: Semantic Annotation and Discoverability System for R-Based Artifacts
Description: Automatically annotates R-based artifacts with relevant descriptive and provenance-related and provides a backend-agnostic storage and discoverability system for organizing, retrieving, and interrogating such artifacts.
Author: Gabriel Becker [aut, cre], Sara Moore [aut]
Maintainer: Gabriel Becker <becker.gabriel@gene.com>

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Package matrixStats updated to version 0.54.0 with previous version 0.53.1 dated 2018-02-11

Title: Functions that Apply to Rows and Columns of Matrices (and to Vectors)
Description: High-performing functions operating on rows and columns of matrices, e.g. col / rowMedians(), col / rowRanks(), and col / rowSds(). Functions optimized per data type and for subsetted calculations such that both memory usage and processing time is minimized. There are also optimized vector-based methods, e.g. binMeans(), madDiff() and weightedMedian().
Author: Henrik Bengtsson [aut, cre, cph], Hector Corrada Bravo [ctb], Robert Gentleman [ctb], Ola Hossjer [ctb], Harris Jaffee [ctb], Dongcan Jiang [ctb], Peter Langfelder [ctb], Peter Hickey [ctb]
Maintainer: Henrik Bengtsson <henrikb@braju.com>

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Package bst updated to version 0.3-15 with previous version 0.3-14 dated 2016-09-21

Title: Gradient Boosting
Description: Functional gradient descent algorithm for a variety of convex and non-convex loss functions, for both classical and robust regression and classification problems. See Wang (2011) <doi:10.2202/1557-4679.1304>, Wang (2012) <doi:10.3414/ME11-02-0020>, Wang (2018) <doi:10.1080/10618600.2018.1424635>, Wang (2018) <doi:10.1214/18-EJS1404>.
Author: Zhu Wang [aut, cre], Torsten Hothorn [ctb]
Maintainer: Zhu Wang <zwang@connecticutchildrens.org>

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Package icr updated to version 0.5.5 with previous version 0.5.4 dated 2018-05-12

Title: Compute Krippendorff's Alpha
Description: Provides functions to compute and plot Krippendorff's inter-coder reliability coefficient alpha and bootstrapped uncertainty estimates (Krippendorff 2004, ISBN:0761915443). The bootstrap routines are set up to make use of parallel threads where supported.
Author: Alexander Staudt [aut, cre], Pierre L'Ecuyer [ctb] (author of the C++ RNG code)
Maintainer: Alexander Staudt <staudtlex@live.de>

Diff between icr versions 0.5.4 dated 2018-05-12 and 0.5.5 dated 2018-07-23

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Package netCoin updated to version 0.2.9 with previous version 0.2.8 dated 2018-04-04

Title: Interactive Networks with R
Description: Create interactive networked coincidences. It joins the data analysis power of R to study coincidences and the visualization libraries of JavaScript in one package.
Author: Modesto Escobar <modesto@usal.es>, David Barrios <metal@usal.es>, Carlos Prieto <cprietos@usal.es>, Luis Martinez-Uribe <lmartinez@usal.es>.
Maintainer: Modesto Escobar <modesto@usal.es>

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Package GPM updated to version 1.0.2 with previous version 1.0.1 dated 2018-06-03

Title: Gaussian Process Modeling of Multi-Response Datasets
Description: Provides a general and efficient tool for fitting a response surface to datasets via Gaussian processes. The dataset can have multiple responses and the fitted GP model can predict the gradient as well. The package is based on the work of Bostanabad, R., Kearney, T., Tao, S. Y., Apley, D. W. & Chen, W. (2018) Leveraging the nugget parameter for efficient Gaussian process modeling. International Journal for Numerical Methods in Engineering, 114, 501-516.
Author: Ramin Bostanabad, Wei Chen (IDEAL)
Maintainer: Ramin Bostanabad <bostanabad@u.northwestern.edu>

Diff between GPM versions 1.0.1 dated 2018-06-03 and 1.0.2 dated 2018-07-23

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Package BGGE updated to version 0.6.4 with previous version 0.6.3 dated 2018-05-16

Title: Bayesian Genomic Linear Models Applied to GE Genome Selection
Description: Application of genome prediction for a continuous variable, focused on genotype by environment (GE) genomic selection models (GS). It consists a group of functions that help to create regression kernels for some GE genomic models proposed by Jarquín et al. (2014) <doi:10.1007/s00122-013-2243-1> and Lopez-Cruz et al. (2015) <doi:10.1534/g3.114.016097>. Also, it computes genomic predictions based on Bayesian approaches. The prediction function uses an orthogonal transformation of the data and specific priors present by Cuevas et al. (2014) <doi:10.1534/g3.114.013094>.
Author: Italo Granato [aut, cre], Luna-Vázquez Francisco J. [aut], Cuevas Jaime [aut]
Maintainer: Italo Granato <italo.granato@gmail.com>

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Package auk updated to version 0.2.2 with previous version 0.2.1 dated 2018-03-28

Title: eBird Data Extraction and Processing with AWK
Description: Extract and process bird sightings records from eBird (<http://ebird.org>), an online tool for recording bird observations. Public access to the full eBird database is via the eBird Basic Dataset (EBD; see <http://ebird.org/ebird/data/download> for access), a downloadable text file. This package is an interface to AWK for extracting data from the EBD based on taxonomic, spatial, or temporal filters, to produce a manageable file size that can be imported into R.
Author: Matthew Strimas-Mackey [aut, cre] (<https://orcid.org/0000-0001-8929-7776>), Eliot Miller [aut], Wesley Hochachka [aut], Cornell Lab of Ornithology [cph]
Maintainer: Matthew Strimas-Mackey <mes335@cornell.edu>

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Package textclean updated to version 0.9.3 with previous version 0.9.2 dated 2018-06-09

Title: Text Cleaning Tools
Description: Tools to clean and process text. Tools are geared at checking for substrings that are not optimal for analysis and replacing or removing them (normalizing) with more analysis friendly substrings (see Sproat, Black, Chen, Kumar, Ostendorf, & Richards (2001) <doi:10.1006/csla.2001.0169>) or extracting them into new variables. For example, emoticons are often used in text but not always easily handled by analysis algorithms. The replace_emoticon() function replaces emoticons with word equivalents.
Author: Tyler Rinker [aut, cre], ctwheels StackOverflow [ctb]
Maintainer: Tyler Rinker <tyler.rinker@gmail.com>

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New package samplesize4surveys with initial version 3.6.1.0
Package: samplesize4surveys
Type: Package
Title: Sample Size Calculations for Complex Surveys
Version: 3.6.1.0
Date: 2018-07-20
Author: Hugo Andres Gutierrez Rojas
Maintainer: Hugo Andres Gutierrez Rojas <hagutierrezro@gmail.com>
Description: Computes the required sample size for estimation of totals, means and proportions under complex sampling designs.
License: GPL (>= 2)
Depends: R (>= 3.1), TeachingSampling, timeDate
Suggests: knitr
VignetteBuilder: knitr
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-07-20 17:32:38 UTC; psirusteam
Repository: CRAN
Date/Publication: 2018-07-23 15:10:03 UTC

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Package Nonpareil updated to version 3.3.2 with previous version 3.3.1 dated 2018-03-22

Title: Metagenome Coverage Estimation and Projections for 'Nonpareil'
Description: Plot, process, and analyze NPO files produced by 'Nonpareil' <http://enve-omics.ce.gatech.edu/nonpareil>.
Author: Luis M. Rodriguez-R [aut, cre]
Maintainer: Luis M. Rodriguez-R <lmrodriguezr@gmail.com>

Diff between Nonpareil versions 3.3.1 dated 2018-03-22 and 3.3.2 dated 2018-07-23

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Package nmaINLA updated to version 0.1.2 with previous version 0.1.1 dated 2017-06-23

Title: Network Meta-Analysis using Integrated Nested Laplace Approximations
Description: Performs network meta-analysis using integrated nested Laplace approximations ('INLA'). Includes methods to assess the heterogeneity and inconsistency in the network. Contains more than ten different network meta-analysis data. 'INLA' package can be obtained from <http://www.r-inla.org>. We recommend the testing version.
Author: Burak Kuersad Guenhan [aut, cre]
Maintainer: Burak Kuersad Guenhan <burak.gunhan@med.uni-goettingen.de>

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Package xmrr updated to version 1.0.36 with previous version 1.0.1 dated 2018-02-01

Title: Generate XMR Control Chart Data from Time-Series Data
Description: XMRs combine X-Bar control charts and Moving Range control charts. These functions also will recalculate the reference lines when significant change has occurred.
Author: Alex Zanidean [aut, cre]
Maintainer: Alex Zanidean <AZanidean@mhc.ab.ca>

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Package summarytools updated to version 0.8.7 with previous version 0.8.6 dated 2018-07-20

Title: Tools to Quickly and Neatly Summarize Data
Description: Data frame summaries, cross-tabulations, weight-enabled frequency tables and common univariate statistics in concise tables available in a variety of formats (plain ASCII, Markdown and HTML). A good point-of-entry for exploring data, both for experienced and new R users.
Author: Dominic Comtois
Maintainer: Dominic Comtois <dominic.comtois@gmail.com>

Diff between summarytools versions 0.8.6 dated 2018-07-20 and 0.8.7 dated 2018-07-23

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Package ctmcd updated to version 1.4.0 with previous version 1.3.5 dated 2018-06-03

Title: Estimating the Parameters of a Continuous-Time Markov Chain from Discrete-Time Data
Description: Functions for estimating Markov generator matrices from discrete-time observations. The implemented approaches comprise diagonal adjustment, weighted adjustment and quasi-optimization of matrix logarithm based candidate solutions, an expectation-maximization algorithm as well as a Gibbs sampler.
Author: Marius Pfeuffer [aut,cre], Greig Smith [ctb], Goncalo dos Reis [ctb], Linda Moestel [ctb], Matthias Fischer [ctb]
Maintainer: Marius Pfeuffer <marius.pfeuffer@fau.de>

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Package pseudorank updated to version 0.2.5 with previous version 0.2.0 dated 2018-06-12

Title: Pseudo-Ranks
Description: Efficient calculation of pseudo-ranks. In case of equal sample sizes, pseudo-ranks and mid-ranks are equal. When used for inference mid-ranks may lead to paradoxical results. Pseudo-ranks are in general not affected by such a problem. For details, see Brunner, E., Bathke A. C. and Konietschke, F: Rank- and Pseudo-Rank Procedures in Factorial Designs - Using R and SAS, Springer Verlag, to appear.
Author: Martin Happ [aut, cre] (<https://orcid.org/0000-0003-0009-2665>), Georg Zimmermann [aut], Arne C. Bathke [aut], Edgar Brunner [aut]
Maintainer: Martin Happ <martin.happ@aon.at>

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Package princurve updated to version 2.1.1 with previous version 2.1.0 dated 2018-07-14

Title: Fits a Principal Curve in Arbitrary Dimension
Description: Fitting a principal curve to a data matrix in arbitrary dimensions.
Author: Trevor Hastie [aut], Andreas Weingessel [aut], Kurt Hornik [aut] (<https://orcid.org/0000-0003-4198-9911>), Henrik Bengtsson [ctb] (HenrikBengtsson), Robrecht Cannoodt [aut, cre] (<https://orcid.org/0000-0003-3641-729X>, rcannood)
Maintainer: Robrecht Cannoodt <rcannood@gmail.com>

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Package mapsapi updated to version 0.3.7 with previous version 0.3.5 dated 2018-03-12

Title: 'sf'-Compatible Interface to 'Google Maps' APIs
Description: Interface to the 'Google Maps' APIs: (1) routing directions based on the 'Directions' API, returned as 'sf' objects, either as single feature per alternative route, or a single feature per segment per alternative route; (2) travel distance or time matrices based on the 'Distance Matrix' API; (3) geocoded locations based on the 'Geocode' API, returned as 'sf' objects, either points or bounds.
Author: Michael Dorman [aut, cre], Tom Buckley [ctb]
Maintainer: Michael Dorman <dorman@post.bgu.ac.il>

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Package logKDE updated to version 0.3.0 with previous version 0.1.0 dated 2018-04-25

Title: Computing Log-Transformed Kernel Density Estimates for Positive Data
Description: Computes log-transformed kernel density estimates for positive data using a variety of kernels. It follows the methods described in Jones, Nguyen and McLachlan (2018) <arXiv:1804.08365>.
Author: Hien D. Nguyen, Andrew T. Jones, and Geoffrey J. McLachlan
Maintainer: Andrew Thomas Jones <andrewthomasjones@gmail.com>

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Package distrDoc updated to version 2.7.1 with previous version 2.6 dated 2016-04-24

Title: Documentation for 'distr' Family of R Packages
Description: Provides documentation in form of a common vignette to packages 'distr', 'distrEx', 'distrMod', 'distrSim', 'distrTEst', 'distrTeach', and 'distrEllipse'.
Author: Florian Camphausen [ctb] (contributed as student to the documented packages in the initial phase --2005), Matthias Kohl [aut, cph], Peter Ruckdeschel [cre, cph], Thomas Stabla [ctb] (contributed as student to the documented packages in the initial phase --2005)
Maintainer: Peter Ruckdeschel <peter.ruckdeschel@uni-oldenburg.de>

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Package meta4diag updated to version 2.0.8 with previous version 2.0.7 dated 2018-02-16

Title: Meta-Analysis for Diagnostic Test Studies
Description: Bayesian inference analysis for bivariate meta-analysis of diagnostic test studies using integrated nested Laplace approximation with INLA. A purpose built graphic user interface is available. The installation of R package INLA is compulsory for successful usage. The INLA package can be obtained from <http://www.r-inla.org>. We recommend the testing version, which can be downloaded by running: install.packages("INLA", repos=c(getOption("repos"), INLA="https://inla.r-inla-download.org/R/testing"), dep=TRUE).
Author: Jingyi Guo <jingyi.guo@math.ntnu.no> and Andrea Riebler <andrea.riebler@math.ntnu.no>
Maintainer: Jingyi Guo <jingyi.guo@math.ntnu.no>

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Package distrTEst updated to version 2.7.0 with previous version 2.6 dated 2016-04-23

Title: Estimation and Testing Classes Based on Package 'distr'
Description: Evaluation (S4-)classes based on package distr for evaluating procedures (estimators/tests) at data/simulation in a unified way.
Author: Florian Camphausen [ctb] (contributed as student in the initial phase --2005), Matthias Kohl [aut, cph], Peter Ruckdeschel [cre, cph], Thomas Stabla [ctb] (contributed as student in the initial phase --2005)
Maintainer: Peter Ruckdeschel <peter.ruckdeschel@uni-oldenburg.de>

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Package distrSim updated to version 2.7.0 with previous version 2.6 dated 2016-04-23

Title: Simulation Classes Based on Package 'distr'
Description: S4-classes for setting up a coherent framework for simulation within the distr family of packages.
Author: Florian Camphausen [ctb] (contributed as student in the initial phase --2005), Matthias Kohl [aut, cph], Peter Ruckdeschel [cre, cph], Thomas Stabla [ctb] (contributed as student in the initial phase --2005)
Maintainer: Peter Ruckdeschel <peter.ruckdeschel@uni-oldenburg.de>

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Package distrRmetrics updated to version 2.7.0 with previous version 2.6 dated 2016-04-23

Title: Distribution Classes for Distributions from Rmetrics
Description: S4-distribution classes based on package distr for distributions from packages 'fBasics' and 'fGarch'.
Author: Peter Ruckdeschel [cre, cph, aut]
Maintainer: Peter Ruckdeschel <peter.ruckdeschel@uni-oldenburg.de>

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Package distrEllipse updated to version 2.7.0 with previous version 2.6.2 dated 2016-09-04

Title: S4 Classes for Elliptically Contoured Distributions
Description: Distribution (S4-)classes for elliptically contoured distributions (based on package 'distr').
Author: Peter Ruckdeschel [aut, cre, cph]
Maintainer: Peter Ruckdeschel <peter.ruckdeschel@uni-oldenburg.de>

Diff between distrEllipse versions 2.6.2 dated 2016-09-04 and 2.7.0 dated 2018-07-23

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Package ibd updated to version 1.4 with previous version 1.3 dated 2018-07-04

Title: Incomplete Block Designs
Description: A collection of several utility functions related to binary incomplete block designs. The package contains function to generate A- and D-efficient binary incomplete block designs with given numbers of treatments, number of blocks and block size. The package also contains function to generate an incomplete block design with specified concurrence matrix. There are functions to generate balanced treatment incomplete block designs and incomplete block designs for test versus control treatments comparisons with specified concurrence matrix. Package also allows performing analysis of variance of data and computing estimated marginal means of factors from experiments using a connected incomplete block design. Tests of hypothesis of treatment contrasts in incomplete block design set up is supported.
Author: B N Mandal [aut, cre]
Maintainer: B N Mandal <mandal.stat@gmail.com>

Diff between ibd versions 1.3 dated 2018-07-04 and 1.4 dated 2018-07-23

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Package WordR updated to version 0.3.1 with previous version 0.3.0 dated 2018-04-26

Title: Rendering Word Documents with R Inline Code
Description: Serves for rendering MS Word documents with R inline code and inserting tables and plots.
Author: Tomas Hovorka
Maintainer: Tomas Hovorka <tomashovorka@seznam.cz>

Diff between WordR versions 0.3.0 dated 2018-04-26 and 0.3.1 dated 2018-07-23

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Package officer updated to version 0.3.2 with previous version 0.3.1 dated 2018-06-12

Title: Manipulation of Microsoft Word and PowerPoint Documents
Description: Access and manipulate 'Microsoft Word' and 'Microsoft PowerPoint' documents from R. The package focuses on tabular and graphical reporting from R; it also provides two functions that let users get document content into data objects. A set of functions lets add and remove images, tables and paragraphs of text in new or existing documents. When working with 'PowerPoint' presentations, slides can be added or removed; shapes inside slides can also be added or removed. When working with 'Word' documents, a cursor can be used to help insert or delete content at a specific location in the document. The package does not require any installation of Microsoft products to be able to write Microsoft files.
Author: David Gohel [aut, cre], Frank Hangler [ctb] (function body_replace_all_text), Liz Sander [ctb] (several documentation fixes), Jon Calder [ctb] (update vignettes), John Harrold [ctb] (fuction annotate_base)
Maintainer: David Gohel <david.gohel@ardata.fr>

Diff between officer versions 0.3.1 dated 2018-06-12 and 0.3.2 dated 2018-07-23

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New package TeachingSampling with initial version 3.4.2
Package: TeachingSampling
Type: Package
Title: Selection of Samples and Parameter Estimation in Finite Population
License: GPL (>= 2)
Version: 3.4.2
Date: 2018-07-22
Author: Hugo Andres Gutierrez Rojas <hagutierrezro@gmail.com>
Maintainer: Hugo Andres Gutierrez Rojas <hagutierrezro@gmail.com>
Depends: R (>= 3.1)
Description: Allows the user to draw probabilistic samples and make inferences from a finite population based on several sampling designs.
Encoding: latin1
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-07-23 01:21:12 UTC; psirusteam
Repository: CRAN
Date/Publication: 2018-07-23 07:30:15 UTC

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Package supc updated to version 0.2.0 with previous version 0.1 dated 2017-03-19

Title: The Self-Updating Process Clustering Algorithms
Description: Implements the self-updating process clustering algorithms proposed in Shiu and Chen (2016) <doi:10.1080/00949655.2015.1049605>.
Author: Wush Wu [aut, cre], Shang-Ying Shiu [aut, ctb]
Maintainer: Wush Wu <wush978@gmail.com>

Diff between supc versions 0.1 dated 2017-03-19 and 0.2.0 dated 2018-07-23

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Package splitstackshape updated to version 1.4.6 with previous version 1.4.4 dated 2018-03-29

Title: Stack and Reshape Datasets After Splitting Concatenated Values
Description: Online data collection tools like Google Forms often export multiple-response questions with data concatenated in cells. The concat.split (cSplit) family of functions splits such data into separate cells. The package also includes functions to stack groups of columns and to reshape wide data, even when the data are "unbalanced"---something which reshape (from base R) does not handle, and which melt and dcast from reshape2 do not easily handle.
Author: Ananda Mahto
Maintainer: Ananda Mahto <mrdwab@gmail.com>

Diff between splitstackshape versions 1.4.4 dated 2018-03-29 and 1.4.6 dated 2018-07-23

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Package Rcpp updated to version 0.12.18 with previous version 0.12.17 dated 2018-05-18

Title: Seamless R and C++ Integration
Description: The 'Rcpp' package provides R functions as well as C++ classes which offer a seamless integration of R and C++. Many R data types and objects can be mapped back and forth to C++ equivalents which facilitates both writing of new code as well as easier integration of third-party libraries. Documentation about 'Rcpp' is provided by several vignettes included in this package, via the 'Rcpp Gallery' site at <http://gallery.rcpp.org>, the paper by Eddelbuettel and Francois (2011, <doi:10.18637/jss.v040.i08>), the book by Eddelbuettel (2013, <doi:10.1007/978-1-4614-6868-4>) and the paper by Eddelbuettel and Balamuta (2018, <doi:10.1080/00031305.2017.1375990>); see 'citation("Rcpp")' for details.
Author: Dirk Eddelbuettel, Romain Francois, JJ Allaire, Kevin Ushey, Qiang Kou, Nathan Russell, Douglas Bates and John Chambers
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between Rcpp versions 0.12.17 dated 2018-05-18 and 0.12.18 dated 2018-07-23

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Package MuMIn updated to version 1.42.1 with previous version 1.40.4 dated 2018-01-30

Title: Multi-Model Inference
Description: Tools for performing model selection and model averaging. Automated model selection through subsetting the maximum model, with optional constraints for model inclusion. Model parameter and prediction averaging based on model weights derived from information criteria (AICc and alike) or custom model weighting schemes.
Author: Kamil Bartoń
Maintainer: Kamil Bartoń <kamil.barton@go2.pl>

Diff between MuMIn versions 1.40.4 dated 2018-01-30 and 1.42.1 dated 2018-07-23

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Package future updated to version 1.9.0 with previous version 1.8.1 dated 2018-05-03

Title: Unified Parallel and Distributed Processing in R for Everyone
Description: The purpose of this package is to provide a lightweight and unified Future API for sequential and parallel processing of R expression via futures. The simplest way to evaluate an expression in parallel is to use `x %<-% { expression }` with `plan(multiprocess)`. This package implements sequential, multicore, multisession, and cluster futures. With these, R expressions can be evaluated on the local machine, in parallel a set of local machines, or distributed on a mix of local and remote machines. Extensions to this package implement additional backends for processing futures via compute cluster schedulers etc. Because of its unified API, there is no need to modify any code in order switch from sequential on the local machine to, say, distributed processing on a remote compute cluster. Another strength of this package is that global variables and functions are automatically identified and exported as needed, making it straightforward to tweak existing code to make use of futures.
Author: Henrik Bengtsson [aut, cre, cph]
Maintainer: Henrik Bengtsson <henrikb@braju.com>

Diff between future versions 1.8.1 dated 2018-05-03 and 1.9.0 dated 2018-07-23

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Package diffdf updated to version 1.0.1 with previous version 1.0.0 dated 2018-05-07

Title: Dataframe Difference Tool
Description: Functions for comparing two data.frames against each other. The core functionality is to provide a detailed breakdown of any differences between two data.frames as well as providing utility functions to help narrow down the source of problems and differences.
Author: Craig Gower [cre, aut], Kieran Martin [aut]
Maintainer: Craig Gower <craig.gower@roche.com>

Diff between diffdf versions 1.0.0 dated 2018-05-07 and 1.0.1 dated 2018-07-23

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Package Copula.Markov updated to version 2.1 with previous version 1.1 dated 2016-07-30

Title: Copula-Based Estimation and Statistical Process Control for Serially Correlated Time Series
Description: Estimation and statistical process control are performed under copula-based time-series models. Available are statistical methods in Long and Emura (2014 JCSA), Emura et al. (2017 Commun Stat-Simul) <DOI:10.1080/03610918.2015.1073303>, and Chen and Emura (2018-, submitted).
Author: Takeshi Emura, Weiru Chen and Ting-Hsuan Long
Maintainer: Takeshi Emura <takeshiemura@gmail.com>

Diff between Copula.Markov versions 1.1 dated 2016-07-30 and 2.1 dated 2018-07-23

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Package moonBook updated to version 0.2.3 with previous version 0.1.8 dated 2018-04-25

Title: Functions and Datasets for the Book by Keon-Woong Moon
Description: Several analysis-related functions for the book entitled "R statistics and graph for medical articles" (written in Korean), version 1, by Keon-Woong Moon with Korean demographic data with several plot functions.
Author: Keon-Woong Moon [aut, cre]
Maintainer: Keon-Woong Moon <cardiomoon@gmail.com>

Diff between moonBook versions 0.1.8 dated 2018-04-25 and 0.2.3 dated 2018-07-23

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Package conf updated to version 1.3.1 with previous version 1.3 dated 2018-07-16

Title: Visualization and Analysis of Statistical Measures of Confidence
Description: Enables: (1) plotting two-dimensional confidence regions, and (2) calculating confidence intervals and the associated actual coverage for binomial proportions. Both are given in greater detail next. (1) Plots the two-dimensional confidence region for probability distribution parameters (supported distribution suffixes: gamma, invgauss, llogis, lnorm, norm, unif, weibull) corresponding to a user given dataset and level of significance. The crplot() algorithm plots more points in areas of greater curvature to ensure a smooth appearance throughout the confidence region boundary. An alternative heuristic plots a specified number of points at roughly uniform intervals along its boundary. Both heuristics build upon the radial profile log-likelihood ratio technique for plotting two-dimensional confidence regions given by Jaeger (2016) <doi:10.1080/00031305.2016.1182946>. (2) Calculates confidence interval bounds for a binomial proportion with binomTest(), calculates the actual coverage with binomTestCoverage(), and plots the actual coverage with binomTestCoveragePlot(). Calculates confidence interval bounds for the binomial proportion using an ensemble of constituent confidence intervals with binomTestEnsemble().
Author: Christopher Weld [aut, cre] (<https://orcid.org/0000-0001-5902-9738>), Hayeon Park [aut], Lawrence Leemis [aut], Andrew Loh [ctb], Yuan Chang [ctb], Brock Crook [ctb], Xin Zhang [ctb]
Maintainer: Christopher Weld <ceweld@email.wm.edu>

Diff between conf versions 1.3 dated 2018-07-16 and 1.3.1 dated 2018-07-23

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Package augSIMEX updated to version 2.2 with previous version 2.1 dated 2018-07-11

Title: Analysis of Data with Mixed Measurement Error and Misclassification in Covariates
Description: Implementation of the augmented Simulation-Extrapolation (SIMEX) algorithm proposed by Yi et al. (2015) <doi:10.1080/01621459.2014.922777> for analyzing the data with mixed measurement error and misclassification. The main function provides a similar summary output as that of glm() function. Both parametric and empirical SIMEX are considered in the package.
Author: Qihuang Zhang <qihuang.zhang@uwaterloo.ca>, Grace Y. Yi <yyi@uwaterloo.ca>
Maintainer: Qihuang Zhang <qihuang.zhang@uwaterloo.ca>

Diff between augSIMEX versions 2.1 dated 2018-07-11 and 2.2 dated 2018-07-23

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