Mon, 31 Oct 2016

Package RVAideMemoire updated to version 0.9-61 with previous version 0.9-60 dated 2016-08-20

Title: Diverse Basic Statistical and Graphical Functions
Description: Contains diverse more or less complicated functions, written to simplify user's life: simplifications of existing functions, basic but not implemented tests, easy-to-use tools, bridges between functions of different packages... All functions are presented in the French book 'Aide-memoire de statistique appliquee a la biologie', written by the same author and available on CRAN.
Author: Maxime Hervé
Maintainer: Maxime Hervé <mx.herve@gmail.com>

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Package R.oo updated to version 1.21.0 with previous version 1.20.0 dated 2016-02-17

Title: R Object-Oriented Programming with or without References
Description: Methods and classes for object-oriented programming in R with or without references. Large effort has been made on making definition of methods as simple as possible with a minimum of maintenance for package developers. The package has been developed since 2001 and is now considered very stable. This is a cross-platform package implemented in pure R that defines standard S3 classes without any tricks.
Author: Henrik Bengtsson [aut, cre, cph]
Maintainer: Henrik Bengtsson <henrikb@braju.com>

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Package quanteda updated to version 0.9.8.5 with previous version 0.9.8.3 dated 2016-10-16

Title: Quantitative Analysis of Textual Data
Description: A fast, flexible toolset for for the management, processing, and quantitative analysis of textual data in R.
Author: Kenneth Benoit [aut, cre], Paul Nulty [aut], Kohei Watanabe [ctb], Benjamin Lauderdale [ctb], Adam Obeng [ctb], Pablo Barberá [ctb], Will Lowe [ctb]
Maintainer: Kenneth Benoit <kbenoit@lse.ac.uk>

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Package dbarts updated to version 0.8-6 with previous version 0.8-5 dated 2014-11-13

Title: Discrete Bayesian Additive Regression Trees Sampler
Description: Fits Bayesian additive regression trees (BART) while allowing the updating of predictors or response so that BART can be incorporated as a conditional model in a Gibbs/MH sampler. Also serves as a drop-in replacement for package BayesTree.
Author: Vincent Dorie Developer [aut, cre], Hugh Chipman Developer [aut], Robert McCulloch Developer [aut]
Maintainer: Vincent Dorie Developer <vdorie@gmail.com>

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More information about dbarts at CRAN
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New package CADStat with initial version 3.0.6
Package: CADStat
Version: 3.0.6
Date: 2016-10-26
Title: Provides a GUI to Several Statistical Methods
Author: Lester Yuan, Tom Stockton, Doug Bronson, Pasha Minallah, and Mark Fitzgerald
Maintainer: Vlad Predovic <predovic.vladimir@epa.gov>
Depends: R (>= 2.15.0), JGR (>= 1.7-10)
Imports: rJava, XML, lattice, bio.infer, gdata, gmodels, quantreg, rpart, JavaGD, car, MASS
Description: Using JGR, provides a GUI to several statistical methods - scatterplot, boxplot, linear regression, generalized linear regression, quantile, regression, conditional probability calculations, and regression trees.
License: GPL (>= 2)
URL: http://www.rforge.net/CADStat/
BugReports:
LazyData: true
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-10-31 19:12:37 UTC; VPredovi
Repository: CRAN
Date/Publication: 2016-10-31 23:33:57

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New package stringb with initial version 0.1.12
Package: stringb
Title: Convenient Base R String Handling
Date: 2016-10-31
Version: 0.1.12
Authors@R: c( person( "Peter", "Meissner", email = "retep.meissner@gmail.com", role = c("aut", "cre") ) )
Description: Base R already ships with string handling capabilities 'out-of-the-box' but lacks streamlined function names and workflow. The 'stringi' ('stringr') package on the other hand has well named functions, extensive Unicode support and allows for a streamlined workflow. On the other hand it adds dependencies and regular expression interpretation between base R functions and 'stringi' functions might differ. This packages aims at providing a solution to the use case of unwanted dependencies on the one hand but the need for streamlined text processing on the other. The packages' functions are solely based on wrapping base R functions into 'stringr'/'stringi' like function names. Along the way it adds one or two extra functions and last but not least provides all functions as generics, therefore allowing for adding methods for other text structures besides plain character vectors.
Depends: R (>= 3.0.0)
License: MIT + file LICENSE
LazyData: TRUE
Imports: graphics, tools
Suggests: testthat, knitr, rmarkdown
BugReports: https://github.com/petermeissner/stringb/issues
URL: https://github.com/petermeissner/stringb
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-10-31 13:13:38 UTC; peter
Author: Peter Meissner [aut, cre]
Maintainer: Peter Meissner <retep.meissner@gmail.com>
Repository: CRAN
Date/Publication: 2016-10-31 16:54:11

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Package sjstats updated to version 0.6.0 with previous version 0.5.0 dated 2016-09-26

Title: Collection of Convenient Functions for Common Statistical Computations
Description: Collection of convenient functions for common statistical computations, which are not directly provided by R's base or stats packages. This package aims at providing, first, shortcuts for statistical measures, which otherwise could only be calculated with additional effort (like standard errors or root mean squared errors). Second, these shortcut functions are generic (if appropriate), and can be applied not only to vectors, but also to other objects as well (e.g., the Coefficient of Variation can be computed for vectors, linear models, or linear mixed models; the r2()-function returns the r-squared value for 'lm', 'glm', 'merMod' or 'lme' objects). The focus of most functions lies on summary statistics or fit measures for regression models, including generalized linear models and mixed effects models. However, some of the functions also deal with other statistical measures, like Cronbach's Alpha, Cramer's V, Phi etc.
Author: Daniel Lüdecke <d.luedecke@uke.de>
Maintainer: Daniel Lüdecke <d.luedecke@uke.de>

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Package sjPlot updated to version 2.1.1 with previous version 2.1.0 dated 2016-09-27

Title: Data Visualization for Statistics in Social Science
Description: Collection of plotting and table output functions for data visualization. Results of various statistical analyses (that are commonly used in social sciences) can be visualized using this package, including simple and cross tabulated frequencies, histograms, box plots, (generalized) linear models, mixed effects models, PCA and correlation matrices, cluster analyses, scatter plots, Likert scales, effects plots of regression models (including interaction terms) and much more. This package supports labelled data.
Author: Daniel Lüdecke <d.luedecke@uke.de>
Maintainer: Daniel Lüdecke <d.luedecke@uke.de>

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Package sjmisc updated to version 2.0.1 with previous version 2.0.0 dated 2016-09-25

Title: Data Transformation and Labelled Data Utility Functions
Description: Collection of miscellaneous utility functions (especially intended for people coming from other statistical software packages like 'SPSS', and/ or who are new to R), supporting following common tasks when working with data : 1) Reading and writing data between R and other statistical software packages like 'SPSS', 'SAS' or 'Stata' and working with labelled data; this includes easy ways to get and set label attributes, to convert labelled vectors into factors (and vice versa), or to deal with multiple declared missing values etc. 2) Data transformation tasks like recoding, dichotomizing or grouping variables, setting and replacing missing values. The data transformation functions also support labelled data.
Author: Daniel Lüdecke <d.luedecke@uke.de>
Maintainer: Daniel Lüdecke <d.luedecke@uke.de>

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Package sf updated to version 0.2-2 with previous version 0.2-1 dated 2016-10-27

Title: Simple Features for R
Description: Support for simple features, a standardized way to encode spatial data, in R.
Author: Edzer Pebesma [aut, cre], Roger Bivand [ctb], Ian Cook [ctb], Tim Keitt [ctb], Michael Sumner [ctb], Robin Lovelace [ctb], Hadley Wickham [ctb], Jeroen Ooms [ctb]
Maintainer: Edzer Pebesma <edzer.pebesma@uni-muenster.de>

Diff between sf versions 0.2-1 dated 2016-10-27 and 0.2-2 dated 2016-10-31

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Package rRAP updated to version 1.1 with previous version 1.0 dated 2016-10-09

Title: Real-Time Adaptive Penalization for Streaming Lasso Models
Description: An implementation of the Real-time Adaptive Penalization (RAP) algorithm through which to iteratively update a regularization parameter in a streaming context.
Author: Ricardo Pio Monti
Maintainer: Ricardo Pio Monti <ricardo.monti08@gmail.com>

Diff between rRAP versions 1.0 dated 2016-10-09 and 1.1 dated 2016-10-31

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Package QCEWAS updated to version 1.0-9 with previous version 1.0-8 dated 2016-10-18

Title: Fast and Easy Quality Control of EWAS Results Files
Description: Tools for (automated and manual) quality control of the results of Epigenome-Wide Association Studies.
Author: Peter J. van der Most, Leanne K. Kupers, Ilja Nolte
Maintainer: Peter J. van der Most <p.j.van.der.most@umcg.nl>

Diff between QCEWAS versions 1.0-8 dated 2016-10-18 and 1.0-9 dated 2016-10-31

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New package outbreaks with initial version 1.0.0
Package: outbreaks
Title: A Collection of Disease Outbreak Data
Version: 1.0.0
Authors@R: c(person("Thibaut", "Jombart", email = "thibaut.jombart@gmail.com", role = c("aut")), person("Simon", "Frost", role = "aut"), person("Pierre", "Nouvellet", role = "aut"), person("Finlay", "Campbell", email = "f.campbell15@imperial.ac.uk", role=c("aut", "cre")) )
Description: Empirical or simulated disease outbreak data, provided either as RData or as text files.
Depends: R (>= 3.0.0)
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
RoxygenNote: 5.0.1
Suggests: testthat, covr
URL: https://github.com/reconhub/outbreaks
BugReports: https://github.com/reconhub/outbreaks/issues
NeedsCompilation: no
Packaged: 2016-10-31 14:32:59 UTC; Finlay
Author: Thibaut Jombart [aut], Simon Frost [aut], Pierre Nouvellet [aut], Finlay Campbell [aut, cre]
Maintainer: Finlay Campbell <f.campbell15@imperial.ac.uk>
Repository: CRAN
Date/Publication: 2016-10-31 16:53:53

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Package ManyTests updated to version 1.2 with previous version 1.1 dated 2014-07-24

Title: Multiple Testing Procedures of Cox (2011) and Wong and Cox (2007)
Description: Performs the multiple testing procedures of Cox (2011) <doi:10.5170/CERN-2011-006> and Wong and Cox (2007) <doi:10.1080/02664760701240014>.
Author: Christiana Kartsonaki
Maintainer: Christiana Kartsonaki <christiana.kartsonaki@gmail.com>

Diff between ManyTests versions 1.1 dated 2014-07-24 and 1.2 dated 2016-10-31

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Package hoardeR updated to version 0.9.2 with previous version 0.9.1 dated 2016-10-10

Title: Collect and Retrieve Annotation Data for Various Genomic Data Using Different Webservices
Description: Cross-species identification of novel gene candidates using the NCBI web service is provided. Further, sets of miRNA target genes can be identified by using the targetscan.org API.
Author: Daniel Fischer [aut, cre], Anu Sironen [aut]
Maintainer: Daniel Fischer <daniel.fischer@luke.fi>

Diff between hoardeR versions 0.9.1 dated 2016-10-10 and 0.9.2 dated 2016-10-31

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New package ConR with initial version 1.0
Package: ConR
Type: Package
Title: Computation of Parameters Used in Preliminary Assessment of Conservation Status
Version: 1.0
Author: Gilles Dauby
Maintainer: Gilles Dauby <gildauby@gmail.com>
Description: Multi-species estimation of geographical range parameters for preliminary assessment of conservation status following Criterion B of the International Union for Conservation of Nature (IUCN, see <http://www.iucnredlist.org>).
Depends: R (>= 3.3), raster, sp
License: GPL-2
Imports: fields, geosphere, grDevices, maptools, methods, rgdal, rgeos, spatstat
LazyData: true
Suggests: knitr, rmarkdown, alphahull
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2016-10-30 18:37:47 UTC; dauby
Repository: CRAN
Date/Publication: 2016-10-31 16:53:44

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Package checkpoint updated to version 0.3.18 with previous version 0.3.16 dated 2016-04-14

Title: Install Packages from Snapshots on the Checkpoint Server for Reproducibility
Description: The goal of checkpoint is to solve the problem of package reproducibility in R. Specifically, checkpoint allows you to install packages as they existed on CRAN on a specific snapshot date as if you had a CRAN time machine. To achieve reproducibility, the checkpoint() function installs the packages required or called by your project and scripts to a local library exactly as they existed at the specified point in time. Only those packages are available to your project, thereby avoiding any package updates that came later and may have altered your results. In this way, anyone using checkpoint's checkpoint() can ensure the reproducibility of your scripts or projects at any time. To create the snapshot archives, once a day (at midnight UTC) Microsoft refreshes the Austria CRAN mirror, on the "Microsoft R Archived Network" server (<https://mran.microsoft.com/>). Immediately after completion of the rsync mirror process, the process takes a snapshot, thus creating the archive. Snapshot archives exist starting from 2014-09-17.
Author: Microsoft Corporation
Maintainer: Andrie de Vries <adevries@microsoft.com>

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Package influence.ME updated to version 0.9-8 with previous version 0.9-7 dated 2016-08-17

Title: Tools for Detecting Influential Data in Mixed Effects Models
Description: Provides a collection of tools for detecting influential cases in generalized mixed effects models. It analyses models that were estimated using 'lme4'. The basic rationale behind identifying influential data is that when iteratively single units are omitted from the data, models based on these data should not produce substantially different estimates. To standardize the assessment of how influential a (single group of) observation(s) is, several measures of influence are common practice, such as DFBETAS and Cook's Distance. In addition, we provide a measure of percentage change of the fixed point estimates and a simple procedure to detect changing levels of significance.
Author: Rense Nieuwenhuis, Ben Pelzer, Manfred te Grotenhuis
Maintainer: Rense Nieuwenhuis <rense.nieuwenhuis@sofi.su.se>

Diff between influence.ME versions 0.9-7 dated 2016-08-17 and 0.9-8 dated 2016-10-31

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Package wec updated to version 0.2 with previous version 0.1 dated 2015-08-28

Title: Weighted Effect Coding
Description: Provides functions to create factor variables with contrasts based on weighted effect coding. In weighted effect coding the estimates from a first order regression model show the deviations per group from the sample mean. This is especially useful when a researcher has no directional hypotheses and uses a sample from a population in which the number of observation per group is different The package also provides functionality for interactions between two factor variables based on weighted effect coding. Please note that this is a beta version: while functional, it does not follow all R conventions.
Author: Rense Nieuwenhuis, Manfred te Grotenhuis, Ben Pelzer, Alexanter Schmidt, Ruben Konig, Rob Eisinga
Maintainer: Rense Nieuwenhuis <rense.nieuwenhuis@sofi.su.se>

Diff between wec versions 0.1 dated 2015-08-28 and 0.2 dated 2016-10-31

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Package VarfromPDB updated to version 2.1.11 with previous version 2.1.10 dated 2016-10-25

Title: Capture the Genes and Variants Related to a Genetic Disease from Public Databases and PubMed
Description: Captures and compiles the genes and variants related to a disease, a phenotype or a clinical feature based on the public databases including HPO (Human Phenotype Ontology, <http://human-phenotype-ontology.github.io/about.html>), Orphanet <http://www.orpha.net/consor/cgi-bin/index.php>, OMIM (Online Mendelian Inheritance in Man, <http://www.omim.org>), ClinVar <http://www.ncbi.nlm.nih.gov/clinvar>, and UniProt (Universal Protein Resource, <http://www.uniprot.org>) and PubMed abstracts. HPO provides a standardized vocabulary of phenotypic abnormalities encountered in human disease. HPO currently contains approximately 11,000 terms and over 115,000 annotations to hereditary diseases. Orphanet is the reference portal for information on rare diseases and orphan drugs, whose aim is to help improve the diagnosis, care and treatment of patients with rare diseases. OMIM is a continuously updated catalog of human genes and genetic disorders and traits, with particular focus on the molecular relationship between genetic variation and phenotypic expression. ClinVar is a freely accessible, public archive of reports of the relationships among human variations and phenotypes, with supporting evidence. UniProt focuses on amino acid altering variants imported from Ensembl Variation databases. For Homo sapiens, the variants including human polymorphisms and disease mutations in the UniProt are manually curated from UniProtKB/Swiss-Prot. Additionally, PubMed provides the primary and latest source of the information. Text mining was employed to capture the information from PubMed abstracts.
Author: Zongfu Cao
Maintainer: Zongfu Cao <caozongfu@gmail.com>

Diff between VarfromPDB versions 2.1.10 dated 2016-10-25 and 2.1.11 dated 2016-10-31

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Package propr updated to version 2.0.4 with previous version 2.0.1 dated 2016-09-30

Title: Calculating Proportionality Between Vectors of Compositional Data
Description: The bioinformatic evaluation of gene co-expression often begins with correlation-based analyses. However, this approach lacks statistical validity when applied to relative data, including those biological count data produced by microarray assays or high-throughput RNA-sequencing. Two metrics of proportionality, phi [Lovell et al (2015) <DOI:10.1371/journal.pcbi.1004075>] and rho [Erb and Notredame (2016) <DOI:10.1007/s12064-015-0220-8>], both derived from compositional data analysis, a branch of math dealing specifically with relative data, represent novel alternatives to correlation. This package introduces a programmatic framework for the calculation of feature dependence through proportionality, as discussed in the cited publications.
Author: Thomas Quinn [aut, cre], David Lovell [aut]
Maintainer: Thomas Quinn <contacttomquinn@gmail.com>

Diff between propr versions 2.0.1 dated 2016-09-30 and 2.0.4 dated 2016-10-31

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Package pbapply updated to version 1.3-1 with previous version 1.3-0 dated 2016-09-26

Title: Adding Progress Bar to '*apply' Functions
Description: A lightweight package that adds progress bar to vectorized R functions ('*apply'). The implementation can easily be added to functions where showing the progress is useful (e.g. bootstrap). The type and style of the progress bar (with percentages or remaining time) can be set through options. Functions can exploit parallel processing resources.
Author: Peter Solymos [aut, cre], Zygmunt Zawadzki [aut]
Maintainer: Peter Solymos <solymos@ualberta.ca>

Diff between pbapply versions 1.3-0 dated 2016-09-26 and 1.3-1 dated 2016-10-31

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Package janitor updated to version 0.2.1 with previous version 0.2.0 dated 2016-10-03

Title: Simple Tools for Examining and Cleaning Dirty Data
Description: The main janitor functions can: perfectly format data.frame column names; isolate duplicate records; and provide quick one- and two-variable tabulations (i.e., frequency tables and crosstabs). Other janitor functions nicely format the results of these tabulations. These tabulate-and-report functions approximate popular features of SPSS and Microsoft Excel. This package follows the principles of the "tidyverse" and works well with the pipe function %>%. janitor was built with beginning-to-intermediate R users in mind and is optimized for user-friendliness. Advanced R users can already do everything covered here, but with janitor they can do it faster and save their thinking for the fun stuff.
Author: Sam Firke [aut, cre], Chris Haid [ctb]
Maintainer: Sam Firke <samuel.firke@gmail.com>

Diff between janitor versions 0.2.0 dated 2016-10-03 and 0.2.1 dated 2016-10-31

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Package finreportr updated to version 1.0.1 with previous version 1.0.0 dated 2016-03-29

Title: Financial Data from U.S. Securities and Exchange Commission
Description: Download and display company financial data from the U.S. Securities and Exchange Commission's EDGAR database. It contains a suite of functions with web scraping and XBRL parsing capabilities that allows users to extract data from EDGAR in an automated and scalable manner. See <https://www.sec.gov/edgar/searchedgar/companysearch.html> for more information.
Author: Seward Lee
Maintainer: Seward Lee <sewardlee337@gmail.com>

Diff between finreportr versions 1.0.0 dated 2016-03-29 and 1.0.1 dated 2016-10-31

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Package EditImputeCont updated to version 1.0.2 with previous version 1.0.1 dated 2016-02-19

Title: Simultaneous Edit-Imputation for Continuous Microdata
Description: An integrated editing and imputation method for continuous microdata under linear constraints is implemented. It relies on a Bayesian nonparametric hierarchical modeling approach as described in Kim et al. (2015) <DOI:10.1080/01621459.2015.1040881>. In this approach, the joint distribution of the data is estimated by a flexible joint probability model. The generated edit-imputed data are guaranteed to satisfy all imposed edit rules, whose types include ratio edits, balance edits and range restrictions.
Author: Quanli Wang, Hang J. Kim, Jerome P. Reiter, Lawrence H. Cox and Alan F. Karr
Maintainer: Quanli Wang <quanli@stat.duke.edu>

Diff between EditImputeCont versions 1.0.1 dated 2016-02-19 and 1.0.2 dated 2016-10-31

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New package colourlovers with initial version 0.2.2
Package: colourlovers
Version: 0.2.2
Date: 2016-10-30
Title: R Client for the COLOURlovers API
Authors@R: person("Thomas J.", "Leeper", role = c("aut", "cre"), email = "thosjleeper@gmail.com")
Imports: XML, jsonlite, png, graphics, utils
Suggests: testthat
Description: Provides access to the COLOURlovers <http://www.colourlovers.com/> API, which offers color inspiration and color palettes.
License: GPL-2
URL: https://github.com/leeper/colourlovers
BugReports: https://github.com/leeper/colourlovers/issues
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-10-30 12:42:54 UTC; THOMAS
Author: Thomas J. Leeper [aut, cre]
Maintainer: Thomas J. Leeper <thosjleeper@gmail.com>
Repository: CRAN
Date/Publication: 2016-10-31 08:10:35

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