Tue, 26 Apr 2016

New package REREFACT with initial version 1.0
Package: REREFACT
Version: 1.0
Date: 2016-04-15
Title: Reordering and/or Reflecting Factors for Simulation Studies with Exploratory Factor Analysis
Author: Soyeon Ahn, Cengiz Zopluoglu, Seniz Celimli, Min Lu, & Nicholas D. Myers
Maintainer: Soyeon Ahn <s.ahn@miami.edu>
Depends: psych, combinat, Matrix, gdata, methods
Description: Executes a post-rotation algorithm that REorders and/or REflects FACTors (REREFACT) for each replication of a simulation study with exploratory factor analysis.
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2016-04-26 14:53:08 UTC; c.zopluoglu1
Repository: CRAN
Date/Publication: 2016-04-26 19:32:02

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Package FuzzyAHP updated to version 0.7.1 with previous version 0.6.1 dated 2016-04-06

Title: (Fuzzy) AHP Calculation
Description: Calculation of AHP (Analytic Hierarchy Process - <http:// en.wikipedia.org/wiki/Analytic_hierarchy_process>) with classic and fuzzy weights based on Saaty's pairwise comparison method for determination of weights.
Author: Jan Caha [aut, cre], Aneta Drážná [ctb, com]
Maintainer: Jan Caha <cahik@atlas.cz>

Diff between FuzzyAHP versions 0.6.1 dated 2016-04-06 and 0.7.1 dated 2016-04-26

 DESCRIPTION                                    |   17 +-
 MD5                                            |   76 ++++++-----
 NAMESPACE                                      |    5 
 R/class-FuzzyData.R                            |   26 +++
 R/class-FuzzyPairwiseComparisonMatrix.R        |  166 ++++++++++++++++++++++++-
 R/class-FuzzyWeights.R                         |    9 +
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 R/function-calculateWeights.R                  |    2 
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 R/function-print.R                             |   17 ++
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 tests/testthat/test_calculateAHP.R             |    7 +
 tests/testthat/test_consistencyRatio.R         |    4 
 tests/testthat/test_fuzzy_AHP.R                |   42 ++++--
 tests/testthat/test_pairwiseComparisonMatrix.R |   17 +-
 vignettes/ahp-bibliography.bib                 |   29 ++++
 vignettes/examples.Rmd                         |   29 ++--
 vignettes/main-info.Rmd                        |    2 
 42 files changed, 841 insertions(+), 240 deletions(-)

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New package flexrsurv with initial version 1.3.3
Package: flexrsurv
Type: Package
Title: Flexible Relative Survival
Version: 1.3.3
Date: 2016-04-22
Authors@R: c( person("Isabelle", "Clerc-Urmès", role="aut"), person("Michel", "Grzebyk", role = c("aut", "cre"), email = "michel.grzebyk@inrs.fr"), person("Guy", "Hédelin", role="ctb"), person("CENSUR working survival group", role = "ctb") )
Author: Isabelle Clerc-Urmès [aut], Michel Grzebyk [aut, cre], Guy Hédelin [ctb], CENSUR working survival group [ctb]
Maintainer: Michel Grzebyk <michel.grzebyk@inrs.fr>
Description: Perform relative survival analyses using approaches described in Remontet et al. (2007) <DOI:10.1002/sim.2656> and Mahboubi et al. (2011) <DOI:10.1002/sim.4208>. It implements non-linear, non-proportional effects and both non proportional and non linear effects using splines (B-spline and truncated power basis).
License: GPL (>= 2.0)
Depends: methods, splines, survival, stats, matrixcalc, Epi
Suggests: relsurv
Imports: utils, orthogonalsplinebasis
Encoding: latin1
NeedsCompilation: yes
Packaged: 2016-04-25 16:11:06 UTC; michel.grzebyk
Repository: CRAN
Date/Publication: 2016-04-26 19:32:05

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Package eVenn updated to version 2.3.1 with previous version 2.3 dated 2016-03-29

Title: A Powerful Tool to Quickly Compare Huge Lists and Draw Venn Diagrams
Description: Compare lists (from 2 to infinite) and plot the results in a Venn diagram if (N<=4) with regulation details. It allows to produce a complete annotated file, merging the annotations of the compared lists. It is also possible to compute an overlaps table to show the overlaps proportions of all the couples of lists and draw proportional Venn diagrams.
Author: Nicolas Cagnard
Maintainer: Nicolas Cagnard <nicolas.cagnard@gmail.com>

Diff between eVenn versions 2.3 dated 2016-03-29 and 2.3.1 dated 2016-04-26

 DESCRIPTION          |    8 -
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 7 files changed, 316 insertions(+), 180 deletions(-)

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New package asymmetry with initial version 1.0
Package: asymmetry
Type: Package
Title: The Slide-Vector Model for Multidimensional Scaling of Asymmetric Data
Version: 1.0
Date: 2016-04-22
Author: Berrie Zielman
Maintainer: Berrie Zielman <berrie.zielman@gmail.com>
Description: The slide-vector model is provided in this package together with functions for the analysis and graphical display of asymmetry. The slide vector model is a scaling model for asymmetric data. A distance model is fitted to the symmetric part of the data whereas the asymmetric part of the data is represented by projections of the coordinates onto the slide-vector. The slide-vector points in the direction of large asymmetries in the data. The distance is modified in such a way that the distance between two points that are parallel to the slide-vector is larger in the direction of this vector. The distance is smaller in the opposite direction. If the line connecting two points is perpendicular to the slide-vector the difference between the two projections is zero. In this case the distance between the two points is symmetric. The algorithm for fitting this model is derived from the majorization approach to multidimensional scaling.
License: GPL (>= 2)
Imports: rJava
NeedsCompilation: yes
SystemRequirements: Java JDK 1.2 or higher (for JRI/REngine JDK 1.4 or higher), GNU make
Packaged: 2016-04-26 17:13:57 UTC; berrie
Repository: CRAN
Date/Publication: 2016-04-26 20:52:24

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Package VSURF updated to version 1.0.3 with previous version 1.0.2 dated 2015-10-15

Title: Variable Selection Using Random Forests
Description: Three steps variable selection procedure based on random forests. Initially developed to handle high dimensional data (for which number of variables largely exceeds number of observations), the package is very versatile and can treat most dimensions of data, for regression and supervised classification problems. First step is dedicated to eliminate irrelevant variables from the dataset. Second step aims to select all variables related to the response for interpretation purpose. Third step refines the selection by eliminating redundancy in the set of variables selected by the second step, for prediction purpose.
Author: Robin Genuer [aut, cre], Jean-Michel Poggi [aut], Christine Tuleau-Malot [aut]
Maintainer: Robin Genuer <Robin.Genuer@isped.u-bordeaux2.fr>

Diff between VSURF versions 1.0.2 dated 2015-10-15 and 1.0.3 dated 2016-04-26

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 VSURF-1.0.3/VSURF/R/VSURF_interp.R                    |    4 +
 VSURF-1.0.3/VSURF/R/VSURF_pred.R                      |    4 +
 VSURF-1.0.3/VSURF/R/VSURF_thres.R                     |   16 ++++++
 VSURF-1.0.3/VSURF/R/plot.VSURF.R                      |    3 +
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 24 files changed, 157 insertions(+), 53 deletions(-)

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Package VecStatGraphs2D updated to version 1.8 with previous version 1.7 dated 2014-02-05

Title: Vector Analysis using Graphical and Analytical Methods in 2D
Description: A 2D statistical analysis is performed, both numerical and graphical, of a set of vectors. Since a vector has two components (module and azimuth) vector analysis is performed in three stages: modules are analyzed by means of linear statistics, azimuths are analyzed by circular statistics, and the joint analysis of modules and azimuths is done using density maps that allow detecting another distribution properties (i.e. anisotropy) and outliers. Tests and circular statistic parameters have associated a full range of graphing: histograms, maps of distributions, point maps, vector maps, density maps, distribution modules and azimuths.
Author: Ruiz-Cuetos J.C., Felicisimo A.M., Cuartero A., Polo M.E., Rodriguez P.G., Haut J.M.
Maintainer: Pablo Garcia Rodriguez <pablogr@unex.es>

Diff between VecStatGraphs2D versions 1.7 dated 2014-02-05 and 1.8 dated 2016-04-26

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Package TransferEntropy updated to version 1.4 with previous version 1.2 dated 2016-01-01

Title: The Transfer Entropy Package
Description: Estimates the transfer entropy from one time series to another, where each time series consists of continuous random variables. The transfer entropy is an extension of mutual information which takes into account the direction of information flow, under the assumption that the underlying processes can be described by a Markov model. Two estimation methods are provided. The first calculates transfer entropy as the difference of mutual information. Mutual information is estimated using the Kraskov method, which builds on a nearest-neighbor framework (see package references). The second estimation method estimate transfer entropy via the a generalized correlation sum.
Author: ANN Library: David Mount, Sunil Arya (see src/ann_1.1.2/Copyright.txt). Transfer Entropy Packge: Ghazaleh Haratinezhad Torbati, Glenn Lawyer.
Maintainer: Ghazaleh Haratinezhad Torbati <ghazale.hnt@gmail.com>

Diff between TransferEntropy versions 1.2 dated 2016-01-01 and 1.4 dated 2016-04-26

 DESCRIPTION        |    8 ++---
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 6 files changed, 47 insertions(+), 47 deletions(-)

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Package STEPCAM updated to version 1.1.2 with previous version 1.1.1 dated 2016-03-02

Title: ABC-SMC Inference of STEPCAM
Description: STEPwise Community Assembly Model collection, applying ABC-SMC in order to infer different community assembly processes. Also includes several plotting functions in order to visualize found estimates.
Author: Thijs Janzen & Fons van der Plas
Maintainer: Thijs Janzen <thijsjanzen@gmail.com>

Diff between STEPCAM versions 1.1.1 dated 2016-03-02 and 1.1.2 dated 2016-04-26

 DESCRIPTION            |    8 ++++----
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 4 files changed, 26 insertions(+), 17 deletions(-)

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Package nLTT updated to version 1.2 with previous version 1.1.1 dated 2015-12-07

Title: Calculate the NLTT Statistic
Description: Provides functions to calculate the normalised Lineage-Through-Time (nLTT) statistic, given two phylogenetic trees. The nLTT statistic measures the difference between two Lineage-Through-Time curves, where each curve is normalised both in time and in number of lineages.
Author: Thijs Janzen
Maintainer: Thijs Janzen <thijsjanzen@gmail.com>

Diff between nLTT versions 1.1.1 dated 2015-12-07 and 1.2 dated 2016-04-26

 DESCRIPTION           |    8 ++---
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 7 files changed, 91 insertions(+), 15 deletions(-)

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Package nat.nblast updated to version 1.6.2 with previous version 1.5 dated 2014-09-19

Title: NeuroAnatomy Toolbox ('nat') Extension for Assessing Neuron Similarity and Clustering
Description: Extends package 'nat' (NeuroAnatomy Toolbox) by providing a collection of NBLAST-related functions.
Author: Greg Jefferis and James Manton
Maintainer: James Manton <ajd.manton@googlemail.com>

Diff between nat.nblast versions 1.5 dated 2014-09-19 and 1.6.2 dated 2016-04-26

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New package factoextra with initial version 1.0.3
Package: factoextra
Type: Package
Title: Extract and Visualize the Results of Multivariate Data Analyses
Version: 1.0.3
Date: 2016-03-31
Authors@R: c( person("Alboukadel", "Kassambara", role = c("aut", "cre"), email = "alboukadel.kassambara@gmail.com"), person("Fabian", "Mundt", role = c("aut"), email = "f.mundt@inventionate.de") )
Description: Provides some easy-to-use functions to extract and visualize the output of multivariate data analyses, including 'PCA' (Principal Component Analysis), 'CA' (Correspondence Analysis), 'MCA' (Multiple Correspondence Analysis), 'MFA' (Multiple Factor Analysis) and 'HMFA' (Hierarchical Multiple Factor Analysis) functions from different R packages. It contains also functions for simplifying some clustering analysis steps and provides 'ggplot2' - based elegant data visualization.
License: GPL-2
LazyData: true
Depends: R (>= 3.1.0), ggplot2
Imports: cluster, dendextend, grid, stats, reshape2, ggrepel, abind
Suggests: ade4, ca, FactoMineR, MASS, knitr
URL: http://www.sthda.com/english/rpkgs/factoextra
BugReports: https://github.com/kassambara/factoextra/issues
Collate: 'cluster_utilities.R' 'decathlon2.R' 'eigenvalue.R' 'utilities.R' 'dist.R' 'fviz_dend.R' 'hcut.R' 'print.factoextra.R' 'get_pca.R' 'fviz_cluster.R' 'eclust.R' 'facto_summarize.R' 'fviz_add.R' 'fviz_ca.R' 'fviz_contrib.R' 'fviz_cos2.R' 'get_hmfa.R' 'fviz_hmfa.R' 'get_mca.R' 'fviz_mca.R' 'get_mfa.R' 'fviz_mfa.R' 'fviz_nbclust.R' 'fviz_pca.R' 'fviz_silhouette.R' 'get_ca.R' 'get_clust_tendency.R' 'hkmeans.R' 'housetasks.R' 'multishapes.R' 'poison.R'
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-04-26 13:11:54 UTC; alboukadel
Author: Alboukadel Kassambara [aut, cre], Fabian Mundt [aut]
Maintainer: Alboukadel Kassambara <alboukadel.kassambara@gmail.com>
Repository: CRAN
Date/Publication: 2016-04-26 16:50:39

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Permanent link

Package clickstream updated to version 1.1.8 with previous version 1.1.7 dated 2016-03-21

Title: Analyzes Clickstreams Based on Markov Chains
Description: A set of tools to read, analyze and write lists of click sequences on websites (i.e., clickstream). A click can be represented by a number, character or string. Clickstreams can be modeled as zero- (only computes occurrence probabilities), first- or higher-order Markov chains.
Author: Michael Scholz
Maintainer: Michael Scholz <michael.scholz@uni-passau.de>

Diff between clickstream versions 1.1.7 dated 2016-03-21 and 1.1.8 dated 2016-04-26

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Package bcRep updated to version 1.3.4 with previous version 1.3.3 dated 2016-04-15

Title: Advanced Analysis of B Cell Receptor Repertoire Data
Description: Methods for advanced analysis of B cell receptor repertoire data, like gene usage, mutations, clones, diversity, distance measures and multidimensional scaling and their visualisation.
Author: Julia Bischof
Maintainer: Julia Bischof <Julia.Bischof@uksh.de>

Diff between bcRep versions 1.3.3 dated 2016-04-15 and 1.3.4 dated 2016-04-26

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Package MXM updated to version 0.8.5 with previous version 0.8 dated 2016-03-22

Title: Discovering Multiple, Statistically-Equivalent Signatures
Description: Feature selection methods for identifying minimal, statistically-equivalent and equally-predictive feature subsets. Bayesian network algorithms and related functions are also included. The package name 'MXM' stands for "Mens eX Machina", meaning "Mind from the Machine" in Latin.
Author: Ioannis Tsamardinos, Vincenzo Lagani, Giorgos Athineou, Michail Tsagris, Giorgos Borboudakis, Anna Roumpelaki
Maintainer: Michail Tsagris <mtsagris@csd.uoc.gr>

Diff between MXM versions 0.8 dated 2016-03-22 and 0.8.5 dated 2016-04-26

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New package msmtools with initial version 1.0
Package: msmtools
Type: Package
Title: Building Augmented Data to Run Multi-State Models with 'msm' Package
Version: 1.0
Date: 2016-04-26
Authors@R: person("Francesco", "Grossetti", email = "francesco.grossetti@polimi.it", role = c("aut", "cre"))
Description: A fast and general method for restructuring classical longitudinal data into augmented ones. The reason for this is to facilitate the modeling of longitudinal data under a multi-state framework using the 'msm' package.
License: GPL-3
LazyData: TRUE
RoxygenNote: 5.0.1
Depends: R (>= 3.2.0)
Imports: data.table (>= 1.9.6), msm (>= 1.6), survival (>= 2.38.0)
Suggests: testthat, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2016-04-26 07:47:15 UTC; franz
Author: Francesco Grossetti [aut, cre]
Maintainer: Francesco Grossetti <francesco.grossetti@polimi.it>
Repository: CRAN
Date/Publication: 2016-04-26 11:20:20

More information about msmtools at CRAN
Permanent link

Package tutorial updated to version 0.3.0 with previous version 0.2.2 dated 2016-03-15

Title: Convert R Markdown Files to DataCamp Light HTML Files
Description: DataCamp Light (<https://github.com/datacamp/datacamp-light>) is a light-weight implementation of the DataCamp UI, that allows you to embed interactive exercises inside HTML documents. The 'tutorial' package makes it easy to create these HTML files from R Markdown files. A wrapper around the 'rmarkdown' package, 'tutorial' pre-detects code chunks with the 'ex' and 'type' properties, and replaces the chunks with DataCamp Light readable chunks in the resulting HTML file.
Author: Filip Schouwenaars
Maintainer: Filip Schouwenaars <filip@datacamp.com>

Diff between tutorial versions 0.2.2 dated 2016-03-15 and 0.3.0 dated 2016-04-26

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New package RZabbix with initial version 0.1.0
Package: RZabbix
Version: 0.1.0
Type: Package
Title: R Module for Working with the 'Zabbix API'
Authors@R: c( person("Marcin", "Kosinski", role = c("aut", "cre"), email = "m.p.kosinski@gmail.com") )
Description: R interface to the 'Zabbix API' data <https://www.zabbix.com/documentation/3.0/manual/api/reference>. Enables easy and direct communication with 'Zabbix API' from 'R'.
Repository: CRAN
License: GPL-2
LazyLoad: yes
LazyData: yes
Depends: R (>= 3.2.0)
Imports: httr (>= 1.1.0), jsonlite (>= 0.9.19)
BugReports: https://github.com/MarcinKosinski/RZabbix/issues
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-04-25 17:40:23 UTC; mkosinski
Author: Marcin Kosinski [aut, cre]
Maintainer: Marcin Kosinski <m.p.kosinski@gmail.com>
Date/Publication: 2016-04-26 08:44:09

More information about RZabbix at CRAN
Permanent link

Package rotl updated to version 3.0.0 with previous version 0.5.0 dated 2016-02-03

Title: Interface to the 'Open Tree of Life' API
Description: An interface to the 'Open Tree of Life' API to retrieve phylogenetic trees, information about studies used to assemble the synthetic tree, and utilities to match taxonomic names to 'Open Tree identifiers'. The 'Open Tree of Life' aims at assembling a comprehensive phylogenetic tree for all named species.
Author: Francois Michonneau [aut, cre], Joseph Brown [aut], David Winter [aut]
Maintainer: Francois Michonneau <francois.michonneau@gmail.com>

Diff between rotl versions 0.5.0 dated 2016-02-03 and 3.0.0 dated 2016-04-26

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Package RndTexExams updated to version 1.2 with previous version 1.1.1 dated 2016-02-20

Title: Build Random Multiple Choice Exams
Description: Using as input a 'LaTeX' file with a multiple choice exam, this package will produce random versions of the same exam.
Author: Marcelo Perlin [aut, cre]
Maintainer: Marcelo Perlin <marceloperlin@gmail.com>

Diff between RndTexExams versions 1.1.1 dated 2016-02-20 and 1.2 dated 2016-04-26

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Package rgrass7 updated to version 0.1-7 with previous version 0.1-6 dated 2016-04-11

Title: Interface Between GRASS 7 Geographical Information System and R
Description: Interpreted interface between GRASS 7 geographical information system and R, based on starting R from within the GRASS GIS environment, or running free-standing R in a temporary GRASS location; the package provides facilities for using all GRASS commands from the R command line. This package may not be used for GRASS 6, for which spgrass6 should be used.
Author: Roger Bivand [cre, aut], Rainer Krug [ctb], Markus Neteler [ctb], Sebastian Jeworutzki [ctb]
Maintainer: Roger Bivand <Roger.Bivand@nhh.no>

Diff between rgrass7 versions 0.1-6 dated 2016-04-11 and 0.1-7 dated 2016-04-26

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Package redland updated to version 1.0.17-8 with previous version 1.0.17-7 dated 2016-03-12

Title: RDF Library Bindings in R
Description: Provides methods to parse, query and serialize information stored in the Resource Description Framework (RDF). RDF is described at <http://www.w3.org/TR/rdf-primer>. This package supports RDF by implementing an R interface to the Redland RDF C library, described at <http://librdf.org/docs/api/index.html>. In brief, RDF provides a structured graph consisting of Statements composed of Subject, Predicate, and Object Nodes.
Author: Matthew B. Jones [aut, cre], Peter Slaughter [aut], Jeroen Ooms [aut], Carl Boettiger [aut], Scott Chamberlain [aut], David Beckett [cph], University of Bristol [cph], Regents of the University of California [cph]
Maintainer: Matthew B. Jones <jones@nceas.ucsb.edu>

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Package quickReg updated to version 0.0.3 with previous version 0.0.2 dated 2016-03-29

Title: Build Regression Models Quickly and Display the Results Using 'ggplot2'
Description: A set of functions to extract results from regression models and plot the effect size using 'ggplot2' seamlessly. While 'broom' is useful to convert statistical analysis objects into tidy data frames, 'coefplot' is adept at showing multivariate regression results. With specific outcome, this package could build regression models automatically, extract results into a data frame and provide a quicker way to summarize models' statistical findings using 'ggplot2'.
Author: Xikun Han [aut, cre]
Maintainer: Xikun Han <hanxikun2014@163.com>

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Package netmeta updated to version 0.9-0 with previous version 0.8-0 dated 2015-06-26

Title: Network Meta-Analysis using Frequentist Methods
Description: Network meta-analysis following methods by Rücker (2012) and Krahn et al. (2013). Functions and datasets to support Schwarzer, Carpenter, and Rücker, "Meta-Analysis with R" (2015), Chapter 8 "Network Meta-Analysis".
Author: Gerta Rücker [aut], Guido Schwarzer [aut, cre], Ulrike Krahn [aut], Jochem König [aut]
Maintainer: Guido Schwarzer <sc@imbi.uni-freiburg.de>

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Package multitaper updated to version 1.0-12 with previous version 1.0-11 dated 2015-02-25

Title: Multitaper Spectral Analysis Tools
Description: Implements multitaper spectral analysis using discrete prolate spheroidal sequences (Slepians) and sine tapers. It includes an adaptive weighted multitaper spectral estimate, a coherence estimate, Thomson's Harmonic F-test, and complex demodulation. The Slepians sequences are generated efficiently using a tridiagonal matrix solution, and jackknifed confidence intervals are available for most estimates.
Author: Karim Rahim <karim.rahim@queensu.ca>, Wesley S. Burr <wesley.burr@gmail.com>
Maintainer: Karim Rahim <karim.rahim@queensu.ca>

Diff between multitaper versions 1.0-11 dated 2015-02-25 and 1.0-12 dated 2016-04-26

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Package getPass updated to version 0.1-1 with previous version 0.1-0 dated 2016-02-25

Title: Masked User Input
Description: A micro-package for reading "passwords", i.e. reading user input with masking, so that the input is not displayed as it is typed. Currently we have support for 'RStudio', the command line (every OS), and any platform where 'tcltk' is present.
Author: Drew Schmidt [aut, cre], Wei-Chen Chen [aut], Gabor Csardi [ctb] (Improved terminal detection)
Maintainer: Drew Schmidt <wrathematics@gmail.com>

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Package equate updated to version 2.0-4 with previous version 2.0-3 dated 2014-10-21

Title: Observed-Score Linking and Equating
Description: Contains methods for observed-score linking and equating under the single-group, equivalent-groups, and nonequivalent-groups with anchor test(s) designs. Equating types include identity, mean, linear, general linear, equipercentile, circle-arc, and composites of these. Equating methods include synthetic, nominal weights, Tucker, Levine observed score, Levine true score, Braun/Holland, frequency estimation, and chained equating. Plotting and summary methods, and methods for multivariate presmoothing and bootstrap error estimation are also provided.
Author: Anthony Albano <tony.d.albano@gmail.com>
Maintainer: Anthony Albano <tony.d.albano@gmail.com>

Diff between equate versions 2.0-3 dated 2014-10-21 and 2.0-4 dated 2016-04-26

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Package decisionSupport updated to version 1.101.2 with previous version 1.101.1 dated 2015-05-19

Title: Quantitative Support of Decision Making under Uncertainty
Description: Supporting the quantitative analysis of binary welfare based decision making processes using Monte Carlo simulations. Decision support is given on two levels: (i) The actual decision level is to choose between two alternatives under probabilistic uncertainty. This package calculates the optimal decision based on maximizing expected welfare. (ii) The meta decision level is to allocate resources to reduce the uncertainty in the underlying decision problem, i.e to increase the current information to improve the actual decision making process. This problem is dealt with using the Value of Information Analysis. The Expected Value of Information for arbitrary prospective estimates can be calculated as well as Individual Expected Value of Perfect Information. The probabilistic calculations are done via Monte Carlo simulations. This Monte Carlo functionality can be used on its own.
Author: Eike Luedeling [cre, aut] (ICRAF), Lutz Göhring [aut] (ICRAF and Lutz Göhring Consulting)
Maintainer: Eike Luedeling <eike@eikeluedeling.com>

Diff between decisionSupport versions 1.101.1 dated 2015-05-19 and 1.101.2 dated 2016-04-26

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Package crsnls updated to version 0.2 with previous version 0.1 dated 2016-04-10

Title: Nonlinear Regression Parameters Estimation by 'CRS4HC' and 'CRS4HCe'
Description: Functions for nonlinear regression parameters estimation by algorithms based on Controlled Random Search algorithm. Both functions (crs4hc(), crs4hce()) adapt current search strategy by four heuristics competition. In addition, crs4hce() improves adaptability by adaptive stopping condition.
Author: Josef Tvrdík [aut], Tomáš Goryl [trl, cre]
Maintainer: Tomáš Goryl <tomas.goryl@gmail.com>

Diff between crsnls versions 0.1 dated 2016-04-10 and 0.2 dated 2016-04-26

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New package CovSelHigh with initial version 1.0.0
Package: CovSelHigh
Version: 1.0.0
Author: Jenny Häggström
Maintainer: Jenny Häggström <jenny.haggstrom@umu.se>
Depends: R (>= 2.14.0)
Imports: bnlearn,MASS, bindata, Matching, doRNG, glmnet, randomForest,foreach,xtable, doParallel
Title: Model-Free Covariate Selection in High Dimensions
Description: Model-free selection of covariates in high dimensions under unconfoundedness for situations where the parameter of interest is an average causal effect. This package is based on model-free backward elimination algorithms proposed in de Luna, Waernbaum and Richardson (2011) <DOI:10.1093/biomet/asr041> and VanderWeele and Shpitser (2011) <DOI:10.1111/j.1541-0420.2011.01619.x>. Confounder selection can be performed via either Markov/Bayesian networks, random forests or LASSO.
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2016-04-25 17:51:10 UTC; jennyhaggstrom
Repository: CRAN
Date/Publication: 2016-04-26 08:44:06

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