Thu, 19 Nov 2015

Package stylo updated to version 0.6.2-1 with previous version 0.6.2 dated 2015-11-10

Title: Functions for a Variety of Stylometric Analyses
Description: A number of functions, supplemented by GUI, to perform various analyses in the field of computational stylistics, authorship attribution, etc.
Author: Maciej Eder, Jan Rybicki, Mike Kestemont
Maintainer: Maciej Eder <maciejeder@gmail.com>

Diff between stylo versions 0.6.2 dated 2015-11-10 and 0.6.2-1 dated 2015-11-19

 DESCRIPTION                   |    8 ++++----
 MD5                           |    4 ++--
 R/make.table.of.frequencies.R |    2 +-
 3 files changed, 7 insertions(+), 7 deletions(-)

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Package rpf updated to version 0.49 with previous version 0.48 dated 2015-08-11

Title: Response Probability Functions
Description: The purpose of this package is to factor out logic and math common to Item Factor Analysis fitting, diagnostics, and analysis. It is envisioned as core support code suitable for more specialized IRT packages to build upon. Complete access to optimized C functions are made available with R_RegisterCCallable.
Author: Joshua Pritikin [cre, aut], Jonathan Weeks [ctb], Li Cai [ctb], Carrie Houts [ctb], Phil Chalmers [ctb], Michael D. Hunter [ctb]
Maintainer: Joshua Pritikin <jpritikin@pobox.com>

Diff between rpf versions 0.48 dated 2015-08-11 and 0.49 dated 2015-11-19

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 86 files changed, 313 insertions(+), 278 deletions(-)

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New package MotilityLab with initial version 0.2-4
Package: MotilityLab
Type: Package
Title: Quantitative Analysis of Motion
Version: 0.2-4
Date: 2015-11-19
Author: Katharina Dannenberg, Jeffrey Berry, Johannes Textor
Maintainer: Johannes Textor <johannes.textor@gmx.de>
Description: Statistics to quantify tracks of moving things (x-y-z-t data), such as cells, bacteria or animals. Available measures include mean square displacement, confinement ratio, autocorrelation, straightness, turning angle, and fractal dimension.
LazyData: true
License: GPL-2
URL: http://www.motilitylab.net
Depends: R (>= 3.0.0)
Imports: stats, grDevices, graphics, utils, ellipse
Suggests: pracma, scatterplot3d, fractaldim, testthat
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2015-11-19 15:35:05 UTC; textor
Repository: CRAN
Date/Publication: 2015-11-19 23:18:42

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Package mirtCAT updated to version 0.6.1 with previous version 0.6 dated 2015-10-04

Title: Computerized Adaptive Testing with Multidimensional Item Response Theory
Description: Provides tools to generate an HTML interface for creating adaptive and non-adaptive educational and psychological tests using the shiny package. Suitable for applying unidimensional and multidimensional computerized adaptive tests using item response theory methodology and for creating simple questionnaires forms to collect response data directly in R.
Author: Phil Chalmers [aut, cre, cph]
Maintainer: Phil Chalmers <rphilip.chalmers@gmail.com>

Diff between mirtCAT versions 0.6 dated 2015-10-04 and 0.6.1 dated 2015-11-19

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Package mirt updated to version 1.14 with previous version 1.13 dated 2015-09-09

Title: Multidimensional Item Response Theory
Description: Analysis of dichotomous and polytomous response data using unidimensional and multidimensional latent trait models under the Item Response Theory paradigm. Exploratory and confirmatory models can be estimated with quadrature (EM) or stochastic (MHRM) methods. Confirmatory bi-factor and two-tier analyses are available for modeling item testlets. Multiple group analysis and mixed effects designs also are available for detecting differential item functioning and modelling item and person covariates.
Author: Phil Chalmers [aut, cre, cph], Joshua Pritikin [ctb], Alexander Robitzsch [ctb], Mateusz Zoltak [ctb]
Maintainer: Phil Chalmers <rphilip.chalmers@gmail.com>

Diff between mirt versions 1.13 dated 2015-09-09 and 1.14 dated 2015-11-19

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 124 files changed, 1681 insertions(+), 1875 deletions(-)

More information about mirt at CRAN
Permanent link

Package emil updated to version 2.2.3 with previous version 2.2.2 dated 2015-09-08

Title: Evaluation of Modeling without Information Leakage
Description: A toolbox for designing and evaluating predictive models with resampling methods. The aim of this package is to provide a simple and efficient general framework for working with any type of prediction problem, be it classification, regression or survival analysis, that is easy to extend and adapt to your specific setting. Some commonly used methods for classification, regression and survival analysis are included.
Author: Christofer Backlin [aut, cre], Mats Gustafsson [aut]
Maintainer: Christofer Backlin <emil@christofer.backlin.se>

Diff between emil versions 2.2.2 dated 2015-09-08 and 2.2.3 dated 2015-11-19

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New package dprep with initial version 3.0
Package: dprep
Type: Package
Title: Data Pre-Processing and Visualization Functions for Classification
Version: 3.0
Date: 2015-11-14
Author: Edgar Acuna and the CASTLE research group at The University of Puerto Rico-Mayaguez
Maintainer: Edgar Acuna <edgar.acuna@upr.edu>
Description: Data preprocessing techniques for classification. Functions for normalization, handling of missing values,discretization, outlier detection, feature selection, and data visualization are included.
Depends: R (>= 2.15.0), graphics, stats
Imports: MASS, e1071, class, nnet, rpart, FNN, StatMatch, rgl, methods
License: GPL
LazyLoad: yes
NeedsCompilation: yes
Packaged: 2015-11-19 21:46:51 UTC; Edgar
Repository: CRAN
Date/Publication: 2015-11-19 23:28:17

More information about dprep at CRAN
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Package crunch updated to version 1.6.1 with previous version 1.4.2 dated 2015-08-04

Title: Crunch.io Data Tools
Description: The Crunch.io service (http://crunch.io/) provides a cloud-based data store and analytic engine, as well as an intuitive web interface. Using this package, analysts can interact with and manipulate Crunch datasets from within R. Importantly, this allows technical researchers to collaborate naturally with team members, managers, and clients who prefer a point-and-click interface.
Author: Neal Richardson [aut, cre]
Maintainer: Neal Richardson <neal@crunch.io>

Diff between crunch versions 1.4.2 dated 2015-08-04 and 1.6.1 dated 2015-11-19

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Package CHNOSZ updated to version 1.0.7 with previous version 1.0.6 dated 2015-10-19

Title: Chemical Thermodynamics and Activity Diagrams
Description: Functions and data sets to support chemical thermodynamic modeling in biochemistry and low-temperature geochemistry. The features include calculation of the standard molal thermodynamic properties and chemical affinities of reactions involving minerals and/or biomolecules; a database of thermodynamic properties of aqueous, crystalline and gaseous species; amino acid group additivity for the standard molal thermodynamic properties of neutral and ionized proteins; use of the revised Helgeson-Kirkham-Flowers equations of state for aqueous species; construction of equilibrium activity diagrams as a function of temperature, pressure, and chemical activities or fugacities of basis species.
Author: Jeffrey Dick
Maintainer: Jeffrey Dick <j3ffdick@gmail.com>

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Package BDgraph updated to version 2.25 with previous version 2.24 dated 2015-11-18

Title: Bayesian Graph Selection Based on Birth-Death MCMC Approach
Description: Provides statistical tools for Bayesian structure learning in undirected graphical models with either continuous or discrete variables.
Author: Abdolreza Mohammadi and Ernst Wit
Maintainer: Abdolreza Mohammadi <a.mohammadi@rug.nl>

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New package antitrust with initial version 0.95
Package: antitrust
Type: Package
Title: Tools for Antitrust Practitioners
Version: 0.95
Date: 2015-11-18
Author: Charles Taragin and Michael Sandfort
Maintainer: Charles Taragin <charles.taragin@usdoj.gov>
Imports: methods, MASS, evd, BB, numDeriv, ggplot2
Description: A collection of tools for antitrust practitioners, including the ability to calibrate different consumer demand systems and simulate the effects mergers under different competitive regimes.
License: Unlimited
LazyLoad: yes
Collate: Antitrust.R Bertrand.R logit.R linear.R loglin.R logitALM.R logitNests.R logitNestsALM.R logitCap.R ces.R cesNests.R aids.R pcaids.R pcaidsNests.R cmcr.R upp.R hhi.R sim.R auction2ndcap.R
NeedsCompilation: no
Packaged: 2015-11-19 17:59:05 UTC; taragic
Repository: CRAN
Date/Publication: 2015-11-19 19:07:01

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Package vegan updated to version 2.3-2 with previous version 2.3-1 dated 2015-09-25

Title: Community Ecology Package
Description: Ordination methods, diversity analysis and other functions for community and vegetation ecologists.
Author: Jari Oksanen, F. Guillaume Blanchet, Roeland Kindt, Pierre Legendre, Peter R. Minchin, R. B. O'Hara, Gavin L. Simpson, Peter Solymos, M. Henry H. Stevens, Helene Wagner
Maintainer: Jari Oksanen <jari.oksanen@oulu.fi>

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Package timetools updated to version 1.7.3 with previous version 1.7.2 dated 2015-09-09

Title: Seasonal/Sequential (Instants/Durations, Even or not) Time Series
Description: Objects to manipulate sequential and seasonal time series. Sequential time series based on time instants and time durations are handled. Both can be regularly or unevenly spaced (overlapping durations are allowed). Only POSIX* format are used for dates and times. The following classes are provided : 'POSIXcti', 'POSIXctp', 'TimeIntervalDataFrame', 'TimeInstantDataFrame', 'SubtimeDataFrame' ; methods to switch from a class to another and to modify the time support of series (hourly time series to daily time series for instance) are also defined. Tools provided can be used for instance to handle environmental monitoring data (not always produced on a regular time base).
Author: Vladislav Navel
Maintainer: Vladislav Navel <vnavel@yahoo.fr>

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Package s4vd updated to version 1.1-1 with previous version 1.0 dated 2011-07-23

Title: Biclustering via Sparse Singular Value Decomposition Incorporating Stability Selection
Description: The main function s4vd() performs a biclustering via sparse singular value decomposition with a nested stability selection. The results is an biclust object and thus all methods of the biclust package can be applied.
Author: Martin Sill, Sebastian Kaiser
Maintainer: Martin Sill <m.sill@dkfz.de>

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Package matlib updated to version 0.5.2 with previous version 0.5.1 dated 2015-11-10

Title: Matrix Functions for Teaching and Learning Linear Algebra and Multivariate Statistics
Description: A collection of matrix functions for teaching and learning matrix linear algebra as used in multivariate statistical methods. These functions are mainly for tutorial purposes in learning matrix algebra ideas using R. In some cases, functions are provided for concepts available elsewhere in R, but where the function call or name is not obvious. In other cases, functions are provided to show or demonstrate an algorithm.
Author: Michael Friendly [aut, cre], John Fox [ctb], Georges Monette [ctb]
Maintainer: Michael Friendly <friendly@yorku.ca>

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Package GLSME (with last version 1.0.3) was removed from CRAN

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2015-07-20 1.0.3
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2014-05-25 1.0.1
2014-05-20 1.0

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Package GMMBoost (with last version 1.1.2) was removed from CRAN

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2013-11-22 1.1.2
2013-09-26 1.1.1
2012-09-28 1.0.3
2012-03-29 1.0.2
2011-11-21 1.0.1
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Package GMCM (with last version 1.2.2) was removed from CRAN

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2015-08-05 1.2.2
2015-04-20 1.2.1
2015-04-13 1.2
2014-10-06 1.1.1
2014-10-01 1.1
2014-05-29 1.0.1
2014-01-31 1.0

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Package GHQp (with last version 1.0) was removed from CRAN

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2014-04-09 1.0

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Package GLDEX (with last version 2.0.0.3) was removed from CRAN

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2015-07-04 2.0.0.3
2014-12-22 2.0.0.2
2014-11-01 2.0.0.1
2014-03-06 2.0.0.0
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Package GIGrvg (with last version 0.4) was removed from CRAN

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2015-07-17 0.4
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Package GLDreg (with last version 1.0.3) was removed from CRAN

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2015-07-04 1.0.3
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Package GMD (with last version 0.3.3) was removed from CRAN

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2014-08-27 0.3.3
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2011-11-25 0.3
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Package GISTools (with last version 0.7-4) was removed from CRAN

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2014-10-06 0.7-4
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Package GMDH (with last version 1.1) was removed from CRAN

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New package eemR with initial version 0.1.0
Package: eemR
Type: Package
Title: Tools for Pre-Processing Emission-Excitation-Matrix (EEM)
Version: 0.1.0
Date: 2015-11-19
Authors@R: person("Philippe", "Massicotte", email = "pm@bios.au.dk", role = c("aut", "cre"))
Description: Provides various tools to calculate EEM metrics and preprocess EEM for PARAFAC analysis.
License: GPL (>= 2)
BugReports: https://github.com/PMassicotte/eemR/issues
URL: https://github.com/PMassicotte/eemR
Depends: R (>= 3.0)
LazyData: TRUE
Imports: stringr, fields, dplyr, R.matlab, pracma, ggplot2, tidyr, readr, Rcpp, stats
RoxygenNote: 5.0.1
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2015-11-19 15:12:32 UTC; persican
Author: Philippe Massicotte [aut, cre]
Maintainer: Philippe Massicotte <pm@bios.au.dk>
Repository: CRAN
Date/Publication: 2015-11-19 17:22:00

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Package clustvarsel updated to version 2.2 with previous version 2.1 dated 2014-10-15

Title: Variable Selection for Model-Based Clustering
Description: A function which implements variable selection methodology for model-based clustering which allows to find the (locally) optimal subset of variables in a data set that have group/cluster information. A greedy or headlong search can be used, either in a forward-backward or backward-forward direction, with or without sub-sampling at the hierarchical clustering stage for starting MCLUST models. By default the algorithm uses a sequential search, but parallelisation is also available.
Author: Nema Dean, Adrian E. Raftery, and Luca Scrucca
Maintainer: Luca Scrucca <luca@stat.unipg.it>

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Package glmx updated to version 0.1-1 with previous version 0.1-0 dated 2013-12-10

Title: Generalized Linear Models Extended
Description: Extended techniques for generalized linear models (GLMs), especially for binary responses, including parametric links and heteroskedastic latent variables.
Author: Achim Zeileis [aut, cre], Roger Koenker [aut], Philipp Doebler [aut]
Maintainer: Achim Zeileis <Achim.Zeileis@R-project.org>

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Package SEHmodel updated to version 0.0.10 with previous version 0.0.9 dated 2015-10-02

Title: Spatial Exposure-Hazard Model for Exposure and Impact Assessment on Exposed Individuals
Description: A model coupling polygon and point processes for assessing risk due to contaminant sources and their impact on exposed individuals.
Author: Marc Bourotte [ctb], Melen Leclerc [aut], Jean-Francois Rey [aut, cre], Samuel Soubeyrand [ctb], Emily Walker [aut]
Maintainer: Jean-Francois Rey <jean-francois.rey@paca.inra.fr>

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Package lgcp updated to version 1.3-13 with previous version 1.3-11 dated 2015-09-10

Title: Log-Gaussian Cox Process
Description: Spatial and spatio-temporal modelling of point patterns using the log-Gaussian Cox process. Bayesian inference for spatial, spatiotemporal, multivariate and aggregated point processes using Markov chain Monte Carlo.
Author: Benjamin M. Taylor, Tilman M. Davies, Barry S. Rowlingson, Peter J. Diggle. Additional code contributions from Edzer Pebesma.
Maintainer: Benjamin M. Taylor <b.taylor1@lancaster.ac.uk>

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Package YuGene updated to version 1.1.5 with previous version 1.1.4 dated 2015-07-30

Title: A Simple Approach to Scale Gene Expression Data Derived from Different Platforms for Integrated Analyses
Description: Simple method for comparison of gene expression generated across different experiments, and on different platforms; that does not require global renormalization, and is not restricted to comparison of identical probes. YuGene works on a range of microarray dataset distributions, such as between manufacturers. The resulting output allows direct comparisons of gene expression between experiments and experimental platforms.
Author: Kim-Anh Le Cao, Florian Rohart, Leo McHugh, Othmar Korn, Christine A. Wells
Maintainer: Florian Rohart <f.rohart@uq.edu.au>

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Package rstan updated to version 2.8.1 with previous version 2.8.0 dated 2015-09-19

Title: R Interface to Stan
Description: User-facing R functions are provided by this package to parse, compile, test, estimate, and analyze Stan models by accessing the header-only Stan library provided by the 'StanHeaders' package. The Stan project develops a probabilistic programming language that implements full Bayesian statistical inference via Markov Chain Monte Carlo and (optionally penalized) maximum likelihood estimation via optimization. In both cases, automatic differentiation is used to quickly and accurately evaluate gradients without burdening the user with the need to derive the partial derivatives.
Author: Jiqiang Guo [aut], Daniel Lee [ctb], Krzysztof Sakrejda [ctb], Jonah Gabry [aut], Ben Goodrich [cre, aut], Joel de Guzman [cph] (Boost), Eric Niebler [cph] (Boost), Thomas Heller [cph] (Boost), John Fletcher [cph] (Boost)
Maintainer: Ben Goodrich <benjamin.goodrich@columbia.edu>

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Package RGraphics updated to version 2.0-13 with previous version 2.0-12 dated 2014-09-12

Title: Data and Functions from the Book R Graphics, Second Edition
Description: Data and Functions from the book R Graphics, Second Edition. There is a function to produce each figure in the book, plus several functions, classes, and methods defined in Chapter 8.
Author: Paul Murrell
Maintainer: Paul Murrell <paul@stat.auckland.ac.nz>

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Package PythonInR updated to version 0.1-3 with previous version 0.1-2 dated 2015-11-14

Title: Use Python from Within R
Description: Interact with Python from within R.
Author: Florian Schwendinger [aut, cre]
Maintainer: Florian Schwendinger <FlorianSchwendinger@gmx.at>

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Package plantecophys updated to version 1.0 with previous version 0.6-3 dated 2015-07-10

Title: Modelling and Analysis of Leaf Gas Exchange Data
Description: Coupled leaf gas exchange model, A-Ci curve simulation and fitting, leaf energy balance using Penman-Monteith, Cowan-Farquhar optimization, unit conversions.
Author: Remko Duursma [aut, cre]
Maintainer: Remko Duursma <remkoduursma@gmail.com>

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New package pageviews with initial version 0.1.0
Package: pageviews
Title: An API Client for Wikimedia Traffic Data
Version: 0.1.0
Date: 2015-11-17
Author: Oliver Keyes
Maintainer: Oliver Keyes <ironholds@gmail.com>
Description: Pageview data from the 'Wikimedia' sites, such as 'Wikipedia' (https://www.wikipedia.org/), from entire projects to per-article levels of granularity, through the new RESTful API and data source (https://wikimedia.org/api/rest_v1/?doc).
License: MIT + file LICENSE
LazyData: true
URL: https://github.com/ironholds/pageviews
BugReports: https://github.com/ironholds/pageviews
Suggests: testthat, knitr, rmarkdown, WikipediR, WikidataR
Imports: jsonlite, httr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2015-11-18 17:35:56 UTC; ironholds
Repository: CRAN
Date/Publication: 2015-11-19 11:02:29

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Package mixOmics updated to version 5.2.0 with previous version 5.1.2 dated 2015-08-29

Title: Omics Data Integration Project
Description: We provide statistical integrative techniques and variants to analyse highly dimensional data sets: regularized Canonical Correlation Analysis ('rCCA') and sparse Partial Least Squares variants ('sPLS') to unravel relationships between two heterogeneous data sets of size (n times p) and (n times q) where the p and q variables are measured on the same samples or individuals n. These data may come from high throughput technologies, such as 'omics' data (e.g. transcriptomics, metabolomics or proteomics data) that require an integrative or joint analysis. However, 'mixOmics' can also be applied to any other large data sets where p + q >> n. 'rCCA' is a regularized version of Canonical Correlation Analysis to deal with the large number of variables. 'sPLS' allows variable selection in a one step procedure and two frameworks are proposed: regression and canonical analysis. Numerous graphical outputs are provided to help interpreting the results. Recent methodological developments include: sparse PLS-Discriminant Analysis ('sPLS-DA'), Independent Principal Component Analysis ('IPCA'), multilevel analysis using variance decomposition of the data and integration of multiple data sets with regularized Generalised Canonical Correlation Analysis ('rGCCA') and variants (sparse 'GCCA'). More details can be found on our website.
Author: Kim-Anh Le Cao, Ignacio Gonzalez, Sebastien Dejean with key contributors Florian Rohart, Benoit Gautier and contributions from Pierre Monget, Jeff Coquery, FangZou Yao, Benoit Liquet.
Maintainer: Kim-Anh Le Cao <k.lecao@uq.edu.au>

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New package MCDM with initial version 1.0
Package: MCDM
Title: Multi-Criteria Decision Making Methods
Version: 1.0
Date: 2015-09-10
Author: Blanca A. Ceballos Martin <bceballos@decsai.ugr.es>
Maintainer: Blanca A. Ceballos Martin <bceballos@decsai.ugr.es>
Description: An R implementation of Four Multi-Criteria Decision Making (MCDM) Methods: Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), "VIseKriterijumska Optimizacija I Kompromisno Resenje" (VIKOR), both Multi-Objective Optimization by Ratio Analysis and Full Multiplicative Form (Multi-MOORA) and Weighted Aggregated Sum Product ASsessment (WASPAS). In addition, this package provides a MetaRanking function which combines the output of the previous methods.
License: LGPL (>= 3)
URL: http://decsai.ugr.es/index.php?p=miembros&id=19909
NeedsCompilation: no
Packaged: 2015-11-18 16:00:54 UTC; Blanky
Repository: CRAN
Date/Publication: 2015-11-19 11:02:12

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Package Information updated to version 0.0.7 with previous version 0.0.6 dated 2015-11-13

Title: Data Exploration with Information Theory (Weight-of-Evidence and Information Value)
Description: Performs exploratory data analysis and variable screening for binary classification models using weight-of-evidence (WOE) and information value (IV). In order to make the package as efficient as possible, aggregations are done in data.table and creation of WOE vectors can be distributed across multiple cores. The package also supports exploration for uplift models (NWOE and NIV).
Author: Larsen Kim [aut, cre]
Maintainer: Larsen Kim <kblarsen4@gmail.com>

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Package EnvStats updated to version 2.0.2 with previous version 2.0.1 dated 2015-05-25

Title: Package for Environmental Statistics, Including US EPA Guidance
Description: Graphical and statistical analyses of environmental data, with focus on analyzing chemical concentrations and physical parameters, usually in the context of mandated environmental monitoring. Major environmental statistical methods found in the literature and regulatory guidance documents, with extensive help that explains what these methods do, how to use them, and where to find them in the literature. Numerous built-in data sets from regulatory guidance documents and environmental statistics literature. Includes scripts reproducing analyses presented in the book "EnvStats: An R Package for Environmental Statistics" (Millard, 2013, Springer).
Author: Steven P. Millard <EnvStats@ProbStatInfo.com>
Maintainer: Steven P. Millard <EnvStats@ProbStatInfo.com>

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Package bWGR updated to version 1.3 with previous version 1.2 dated 2015-10-28

Title: Bagging Whole-Genome Regression
Description: Designed for whole-genome regressions using Bayesian models fitted via Gibbs sampling with optional resampling techniques and polygenic term with reduced dimensionality.
Author: Alencar Xavier, William Muir, Katy Rainey.
Maintainer: Alencar Xavier <xaviera@purdue.edu>

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Package bnclassify updated to version 0.3.2 with previous version 0.3.1 dated 2015-10-29

Title: Learning Discrete Bayesian Network Classifiers from Data
Description: Implements state-of-the art algorithms for learning discrete Bayesian network classifiers from data, as well as functions for using these classifiers for prediction, assessing their predictive performance, and inspecting their properties.
Author: Mihaljevic Bojan [aut, cre], Bielza Concha [aut], Larranaga Pedro [aut], Wickham Hadley [ctb] (some code extracted from memoise package)
Maintainer: Mihaljevic Bojan <bmihaljevic@fi.upm.es>

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