Tue, 24 Nov 2015

Package rattle updated to version 4.0.5 with previous version 4.0.0 dated 2015-11-05

Title: Graphical User Interface for Data Mining in R
Description: The R Analytic Tool To Learn Easily (Rattle) provides a Gnome (RGtk2) based interface to R functionality for data mining. The aim is to provide a simple and intuitive interface that allows a user to quickly load data from a CSV file (or via ODBC), transform and explore the data, build and evaluate models, and export models as PMML (predictive modelling markup language) or as scores. All of this with knowing little about R. All R commands are logged and commented through the log tab. Thus they are available to the user as a script file or as an aide for the user to learn R or to copy-and-paste directly into R itself. Rattle also exports a number of utility functions and the graphical user interface, invoked as rattle(), does not need to be run to deploy these.
Author: Graham Williams [aut, cph, cre], Mark Vere Culp [cph], Ed Cox [ctb], Anthony Nolan [ctb], Denis White [cph], Daniele Medri [ctb], Akbar Waljee [ctb] (OOB AUC for Random Forest), Brian Ripley [cph] (Author of original print.summary.nnet), Jose Magana [ctb] (Contributed the ggpairs plots.)
Maintainer: Graham Williams <Graham.Williams@togaware.com>

Diff between rattle versions 4.0.0 dated 2015-11-05 and 4.0.5 dated 2015-11-24

 DESCRIPTION                 |    8 ++++----
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 R/rattle.R                  |    4 ++--
 R/textminer.R               |    4 ++--
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 11 files changed, 53 insertions(+), 35 deletions(-)

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Package pbapply updated to version 1.1-3 with previous version 1.1-2 dated 2015-11-22

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 for the user (e.g. bootstrap).
Author: Peter Solymos
Maintainer: Peter Solymos <solymos@ualberta.ca>

Diff between pbapply versions 1.1-2 dated 2015-11-22 and 1.1-3 dated 2015-11-24

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New package pangaear with initial version 0.1.0
Package: pangaear
Title: Client for the 'Pangaea' Database
Description: Tools to interact with the 'Pangaea' Database (http:// www.pangaea.de/), including functions for searching for data, fetching 'datasets' by 'dataset' 'ID', and working with the 'Pangaea' 'OAI-PMH' service.
Version: 0.1.0
Date: 2015-11-24
Authors@R: c(person("Scott", "Chamberlain", email = "myrmecocystus@gmail.com", role = c("aut","cre")), person("Kara", "Woo", email = "woo.kara@gmail.com", role = "aut"), person("Andrew", "MacDonald", email = "a.a.m.macdonald@gmail.com", role = "aut"), person("Naupaka ", "Zimmerman", email = "naupaka@gmail.com", role = "aut"), person("Gavin", "Simpson", email = "ucfagls@gmail.com", role = "aut"))
License: MIT + file LICENSE
LazyData: true
URL: https://github.com/ropensci/pangaear
BugReports: https://github.com/ropensci/pangaear/issues
Imports: methods, stats, utils, httr (>= 1.0.0), XML, oai
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2015-11-24 18:23:53 UTC; sacmac
Author: Scott Chamberlain [aut, cre], Kara Woo [aut], Andrew MacDonald [aut], Naupaka Zimmerman [aut], Gavin Simpson [aut]
Maintainer: Scott Chamberlain <myrmecocystus@gmail.com>
Repository: CRAN
Date/Publication: 2015-11-24 23:54:26

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New package MMWRweek with initial version 0.1.1
Package: MMWRweek
Type: Package
Title: Convert Dates to MMWR Day, Week, and Year
Version: 0.1.1
Date: 2015-11-24
Author: Jarad Niemi <niemi@iastate.edu>
Maintainer: Jarad Niemi <niemi@iastate.edu>
Suggests: testthat
Description: The first day of any MMWR week is Sunday. MMWR week numbering is sequential beginning with 1 and incrementing with each week to a maximum of 52 or 53. MMWR week #1 of an MMWR year is the first week of the year that has at least four days in the calendar year. This package provides functionality to convert Dates to MMWR day, week, and year and the reverse.
License: GPL (>= 2) | file LICENSE
LazyLoad: yes
URL: http://wwwn.cdc.gov/nndss/document/MMWR_Week_overview.pdf
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2015-11-24 20:07:33 UTC; niemi
Repository: CRAN
Date/Publication: 2015-11-25 00:16:14

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New package meteR with initial version 1.0
Package: meteR
Type: Package
Title: Fitting and Plotting Tools for the Maximum Entropy Theory of Ecology (METE)
Version: 1.0
Date: 2015-11-24
Author: Andy Rominger, Cory Merow
Maintainer: Cory Merow <cory.merow@gmail.com>
Description: Fit and plot macroecological patterns predicted by the Maximum Entropy Theory of Ecology (METE).
License: GPL-2
URL: https://github.com/cmerow/meteR
BugReports: https://github.com/cmerow/meteR/issues
LazyLoad: yes
LazyData: true
Depends: R (>= 2.10)
Imports: nleqslv, distr
Suggests:
NeedsCompilation: no
Packaged: 2015-11-24 19:48:13 UTC; ctg
Repository: CRAN
Date/Publication: 2015-11-24 23:54:22

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Package kdecopula updated to version 0.4.1 with previous version 0.4.0 dated 2015-10-22

Title: Kernel Smoothing for Bivariate Copula Densities
Description: Provides fast implementations of kernel smoothing techniques for bivariate copula densities, in particular density estimation and resampling.
Author: Thomas Nagler [aut, cre]
Maintainer: Thomas Nagler <thomas.nagler@tum.de>

Diff between kdecopula versions 0.4.0 dated 2015-10-22 and 0.4.1 dated 2015-11-24

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Package XiMpLe updated to version 0.03-23 with previous version 0.03-21 dated 2013-12-21

Title: A Simple XML Tree Parser and Generator
Description: Provides a simple XML tree parser/generator. It includes functions to read XML files into R objects, get information out of and into nodes, and write R objects back to XML code. It's not as powerful as the 'XML' package and doesn't aim to be, but for simple XML handling it could be useful. It was originally developed for the R GUI and IDE RKWard (https://rkward.kde.org), to make plugin development easier.
Author: Meik Michalke [aut, cre]
Maintainer: Meik Michalke <meik.michalke@hhu.de>

Diff between XiMpLe versions 0.03-21 dated 2013-12-21 and 0.03-23 dated 2015-11-24

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New package UncerIn2 with initial version 2.0
Package: UncerIn2
Version: 2.0
Date: 2015-11-10
Type: Package
Title: Implements Models of Uncertainty into the Interpolation Functions
Author: Tomas Burian <Buri777@seznam.cz>
Maintainer: Tomas Burian <Buri777@seznam.cz>
Description: Provides a basic (random) data, grids, 6 models of uncertainty, 3 automatic interpolations (idw, spline, kriging), variogram and basic data visualization.
License: GPL (>= 2)
LazyLoad: yes
Depends: R (>= 3.0.0), sp, RandomFields, automap, fields, gstat
Imports: geoR, methods, stats, Rcpp, utils
Collate: 'class-01-Points.R' 'class-02-UncertainPoints.R' 'class-03-UncertainInterpolation.R' 'class-04-FuzzyInterpolation.R' 'class-05-Variogram.R' 'methods-as.data.frame.R' 'methods-as.UncertainPoints.R' 'methods-uncertaintyConstant.R' 'methods-uncertaintyError.R' 'methods-uncertaintyPercent.R' 'methods-uncertaintyRandomDeviate.R' 'methods-uncertaintyRandomNumber.R' 'methods-uncertaintyRandomPercent.R' 'methods-Grid.R' 'methods-idwUncertain.R' 'methods-splineUncertain.R' 'methods-krigingUncertain.R' 'methods-variogram.R' 'methods-plot.R'
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2015-11-24 16:27:58 UTC; Tom<c3><a1><c5><a1>
Repository: CRAN
Date/Publication: 2015-11-24 18:37:19

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New package rtkore with initial version 1.0.1
Package: rtkore
Type: Package
Title: STK++ Core Library Integration to R using Rcpp
Version: 1.0.1
Encoding: UTF-8
Date: 2015-11-24
Authors@R: c(person("Serge", "Iovleff", role=c("aut","cre"), email="serge.iovleff@stkpp.org"), person("Parmeet", "Bhatia", role="ctb", email="bhatia.parmeet@gmail.com"))
Copyright: Inria and specifically inst/COPYRIGHTS for the STK++ library
Maintainer: Serge Iovleff <serge.iovleff@stkpp.org>
Description: STK++ (http://www.stkpp.org) is a collection of C++ classes for statistics, clustering, linear algebra, arrays (with an Eigen-like API), regression, dimension reduction, etc. The integration of the library to R is using Rcpp. The rtkore package includes the header files from the STK++ core library. All files contain only templated classes or inlined functions. STK++ is licensed under the GNU LGPL version 2 or later. rtkore (the stkpp integration into R) is licensed under the GNU GPL version 2 or later. See file LICENSE.note for details.
License: GPL (>= 2)
BugReports: http://www.stkpp.org
LazyLoad: yes
Depends: R (>= 3.0.2), Rcpp (>= 0.11.0)
LinkingTo: Rcpp
URL: http://www.stkpp.org
NeedsCompilation: yes
SystemRequirements: GNU make
Collate: 'rtkore.R' 'rtkoreFlags.R' 'inlineCxxPlugin.R'
Packaged: 2015-11-24 15:15:04 UTC; iovleff
Author: Serge Iovleff [aut, cre], Parmeet Bhatia [ctb]
Repository: CRAN
Date/Publication: 2015-11-24 18:37:21

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New package RMixpanel with initial version 0.1-1
Package: RMixpanel
Version: 0.1-1
Date: 2015-11-24
Title: R API for Mixpanel
Author: Meinhard Ploner
Maintainer: Meinhard Ploner <meinhard.ploner@prosiebensat1digital.de>
Imports: digest, jsonlite
Description: Provides an interface to many endpoints of Mixpanel's Data Export API. The R functions allow for event and profile data export as well as for segmentation, retention and addiction analysis. Results are always parsed into convenient R objects.
License: MIT + file LICENSE
NeedsCompilation: no
Packaged: 2015-11-24 17:48:03 UTC; plo0001m
Repository: CRAN
Date/Publication: 2015-11-24 19:05:14

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Package OrdNor updated to version 2.0 with previous version 1.0 dated 2013-12-02

Title: Concurrent Generation of Ordinal and Normal Data with Given Correlation Matrix and Marginal Distributions
Description: Implementation of a procedure for generating samples from a mixed distribution of ordinal and normal random variables with pre-specified correlation matrix and marginal distributions.
Author: Anup Amatya and Hakan Demirtas
Maintainer: Anup Amatya<aamatya@nmsu.edu>

Diff between OrdNor versions 1.0 dated 2013-12-02 and 2.0 dated 2015-11-24

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New package apricom with initial version 1.0.0
Package: apricom
Title: Tools for the a Priori Comparison of Regression Modelling Strategies
Version: 1.0.0
Date: 2015-11-11
Authors@R: c(person(given="Romin", family="Pajouheshnia", email = "R.Pajouheshnia@umcutrecht.nl", role=c("aut", "cre")),person(given="Wiebe", family="Pestman", role="aut"),person(given="Rolf", family="Groenwold", role="aut"))
Maintainer: Romin Pajouheshnia <R.Pajouheshnia@umcutrecht.nl>
Description: Tools to compare several model adjustment and validation methods prior to application in a final analysis.
Depends: R (>= 3.1.1)
Imports: logistf, penalized, rms, graphics, stats, shrink
Suggests: knitr, testthat, rmarkdown
License: GPL-2
LazyData: TRUE
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2015-11-24 17:46:49 UTC; Romin
Author: Romin Pajouheshnia [aut, cre], Wiebe Pestman [aut], Rolf Groenwold [aut]
Repository: CRAN
Date/Publication: 2015-11-24 19:05:16

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Package VCA updated to version 1.2.1 with previous version 1.2 dated 2015-07-20

Title: Variance Component Analysis
Description: ANOVA-type estimation (prediction) of random effects in linear mixed models is implemented, following Searle et al. 1991 (ANOVA for unbalanced data). For better performance the SWEEP-Operator is now implemented for generating the ANOVA Type-1 error sum of squares. The primary objective of this package is to perform Variance Component Analyses (VCA). This is a special type of analysis frequently used in verifying the precision performance of diagnostics. The Satterthwaite approximation of the total degrees of freedom and for individual variance components is implemented. These are used in the Chi-Squared tests against a claimed value, and in the respective confidence intervals. Satterthwaite's approximation of denominator degrees of freedom in t-/F-tests of fixed effects are also available. There are several functions for extracting, random effects, fixed effects, variance-covariance matrices of random and fixed effects. Residuals (marginal, conditional) can be extracted as raw, standardized and studentized residuals. Additionally, plotting methods for residuals and random effects and a variability chart are available. The latter is useful for visualizing the variability in sub-classes emerging from the experimental design.
Author: Andre Schuetzenmeister <andre.schuetzenmeister@roche.com>
Maintainer: Andre Schuetzenmeister <andre.schuetzenmeister@roche.com>

Diff between VCA versions 1.2 dated 2015-07-20 and 1.2.1 dated 2015-11-24

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Package sparseLDA updated to version 0.1-7 with previous version 0.1-6 dated 2012-06-19

Title: Sparse Discriminant Analysis
Description: Performs sparse linear discriminant analysis for gaussians and mixture of gaussians models.
Author: Line Clemmensen <lhc@imm.dtu.dk>, contributions by Max Kuhn
Maintainer: Max Kuhn <max.kuhn@pfizer.com>

Diff between sparseLDA versions 0.1-6 dated 2012-06-19 and 0.1-7 dated 2015-11-24

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Package smoof updated to version 1.1 with previous version 1.0 dated 2015-05-18

Title: Single and Multi-Objective Optimization Test Functions
Description: Provides generators for a high number of both single- and multi- objective test functions which are frequently used for the benchmarking of (numerical) optimization algorithms. Moreover, it offers a set of convenient functions to generate, plot and work with objective functions.
Author: Jakob Bossek [aut, cre]
Maintainer: Jakob Bossek <j.bossek@gmail.com>

Diff between smoof versions 1.0 dated 2015-05-18 and 1.1 dated 2015-11-24

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 smoof-1.1/smoof/R/sof.brent.R                                     |    2 
 smoof-1.1/smoof/R/sof.brown.R                                     |    2 
 smoof-1.1/smoof/R/sof.bukin.n2.R                                  |    2 
 smoof-1.1/smoof/R/sof.bukin.n4.R                                  |    2 
 smoof-1.1/smoof/R/sof.bukin.n6.R                                  |    2 
 smoof-1.1/smoof/R/sof.carrom.table.R                              |    2 
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 smoof-1.1/smoof/R/sof.easom.R                                     |    2 
 smoof-1.1/smoof/R/sof.eggcrate.R                                  |    2 
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 smoof-1.1/smoof/R/sof.exponential.R                               |    4 
 smoof-1.1/smoof/R/sof.freudenstein.roth.R                         |    2 
 smoof-1.1/smoof/R/sof.giunta.R                                    |    6 
 smoof-1.1/smoof/R/sof.goldstein.price.R                           |    2 
 smoof-1.1/smoof/R/sof.griewank.R                                  |    2 
 smoof-1.1/smoof/R/sof.hansen.R                                    |    2 
 smoof-1.1/smoof/R/sof.himmelblau.R                                |    2 
 smoof-1.1/smoof/R/sof.holder.table.n1.R                           |    2 
 smoof-1.1/smoof/R/sof.holder.table.n2.R                           |    2 
 smoof-1.1/smoof/R/sof.hosaki.R                                    |    2 
 smoof-1.1/smoof/R/sof.hyper.ellipsoid.R                           |    4 
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 smoof-1.1/smoof/R/sof.leon.R                                      |    2 
 smoof-1.1/smoof/R/sof.matyas.R                                    |    4 
 smoof-1.1/smoof/R/sof.mccormick.R                                 |    2 
 smoof-1.1/smoof/R/sof.michalewicz.R                               |   20 
 smoof-1.1/smoof/R/sof.periodic.R                                  |    2 
 smoof-1.1/smoof/R/sof.powell.sum.R                                |    2 
 smoof-1.1/smoof/R/sof.price.n1.R                                  |    2 
 smoof-1.1/smoof/R/sof.price.n2.R                                  |    2 
 smoof-1.1/smoof/R/sof.price.n4.R                                  |    2 
 smoof-1.1/smoof/R/sof.rastrigin.R                                 |    4 
 smoof-1.1/smoof/R/sof.rosenbrock.R                                |   10 
 smoof-1.1/smoof/R/sof.schaffer.function.2.R                       |    2 
 smoof-1.1/smoof/R/sof.schaffer.function.4.R                       |    2 
 smoof-1.1/smoof/R/sof.schwefel.R                                  |    4 
 smoof-1.1/smoof/R/sof.shubert.R                                   |    2 
 smoof-1.1/smoof/R/sof.six.hump.camel.back.function.R              |    2 
 smoof-1.1/smoof/R/sof.sphere.R                                    |    2 
 smoof-1.1/smoof/R/sof.styblinski.tang.R                           |    2 
 smoof-1.1/smoof/R/sof.sum.of.different.powers.R                   |    4 
 smoof-1.1/smoof/R/sof.three.hump.camel.R                          |    2 
 smoof-1.1/smoof/R/sof.trecanni.R                                  |    2 
 smoof-1.1/smoof/R/sof.zettl.R                                     |    2 
 smoof-1.1/smoof/R/zzz.R                                           |    4 
 smoof-1.1/smoof/man/addCountingWrapper.Rd                         |    2 
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 smoof-1.1/smoof/man/makeHansenFunction.Rd                         |    2 
 smoof-1.1/smoof/man/makeHimmelblauFunction.Rd                     |    2 
 smoof-1.1/smoof/man/makeHolderTableN1Function.Rd                  |    2 
 smoof-1.1/smoof/man/makeHolderTableN2Function.Rd                  |    2 
 smoof-1.1/smoof/man/makeHosakiFunction.Rd                         |    2 
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 smoof-1.1/smoof/man/makeMcCormickFunction.Rd                      |    2 
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 smoof-1.1/smoof/man/makePriceN4Function.Rd                        |    2 
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 smoof-1.1/smoof/man/makeSchwefelFunction.Rd                       |    2 
 smoof-1.1/smoof/man/makeShubertFunction.Rd                        |    2 
 smoof-1.1/smoof/man/makeSingleObjectiveFunction.Rd                |   11 
 smoof-1.1/smoof/man/makeSixHumpCamelFunction.Rd                   |    2 
 smoof-1.1/smoof/man/makeSphereFunction.Rd                         |    2 
 smoof-1.1/smoof/man/makeStyblinkskiTangFunction.Rd                |    2 
 smoof-1.1/smoof/man/makeSumOfDifferentSquaresFunction.Rd          |    2 
 smoof-1.1/smoof/man/makeThreeHumpCamelFunction.Rd                 |    2 
 smoof-1.1/smoof/man/makeTrecanniFunction.Rd                       |    2 
 smoof-1.1/smoof/man/makeUFFunction.Rd                             |    6 
 smoof-1.1/smoof/man/makeZDT1Function.Rd                           |    2 
 smoof-1.1/smoof/man/makeZDT2Function.Rd                           |    2 
 smoof-1.1/smoof/man/makeZDT3Function.Rd                           |    2 
 smoof-1.1/smoof/man/makeZDT4Function.Rd                           |    2 
 smoof-1.1/smoof/man/makeZDT6Function.Rd                           |    2 
 smoof-1.1/smoof/man/makeZettlFunction.Rd                          |    2 
 smoof-1.1/smoof/man/plot.smoof_function.Rd                        |    2 
 smoof-1.1/smoof/man/plot1DNumeric.Rd                              |    2 
 smoof-1.1/smoof/man/plot2DNumeric.Rd                              |    2 
 smoof-1.1/smoof/man/plot3D.Rd                                     |    2 
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 smoof-1.1/smoof/tests/testthat/Rplots.pdf                         |binary
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 smoof-1.1/smoof/tests/testthat/test_makeSingleObjectiveFunction.R |    2 
 smoof-1.1/smoof/tests/testthat/test_soofuns.R                     |    7 
 239 files changed, 599 insertions(+), 416 deletions(-)

More information about smoof at CRAN
Permanent link

Package matrixpls updated to version 0.6.0 with previous version 0.5.0 dated 2014-11-29

Title: Matrix-Based Partial Least Squares Estimation
Description: Partial Least Squares Path Modeling algorithm and related algorithms. The algorithm implementations aim for computational efficiency using matrix algebra and covariance data. The package is designed toward Monte Carlo simulations and includes functions to perform simple Monte Carlo simulations.
Author: Mikko Rönkkö [aut, cre]
Maintainer: Mikko Rönkkö <mikko.ronkko@aalto.fi>

Diff between matrixpls versions 0.5.0 dated 2014-11-29 and 0.6.0 dated 2015-11-24

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 84 files changed, 1159 insertions(+), 2457 deletions(-)

More information about matrixpls at CRAN
Permanent link

New package ipflasso with initial version 0.1
Package: ipflasso
Type: Package
Title: Integrative Lasso with Penalty Factors
Version: 0.1
Date: 2015-11-24
Author: Anne-Laure Boulesteix, Mathias Fuchs
Maintainer: Anne-Laure Boulesteix <boulesteix@ibe.med.uni-muenchen.de>
Description: The core of the package is cvr2.ipflasso(), an extension of glmnet to be used when the (large) set of available predictors is partitioned into several modalities which potentially differ with respect to their information content in terms of prediction. For example, in biomedical applications patient outcome such as survival time or response to therapy may have to be predicted based on, say, mRNA data, miRNA data, methylation data, CNV data, clinical data, etc. The clinical predictors are on average often much more important for outcome prediction than the mRNA data. The ipflasso method takes this problem into account by using different penalty parameters for predictors from different modalities. The ratio between the different penalty parameters can be chosen by cross-validation.
Depends: glmnet, survival
License: GPL
Packaged: 2015-11-24 14:06:50 UTC; bouleste
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2015-11-24 15:16:28

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Package eemR updated to version 0.1.1 with previous version 0.1.0 dated 2015-11-19

Title: Tools for Pre-Processing Emission-Excitation-Matrix (EEM)
Description: Provides various tools to calculate EEM metrics and preprocess EEM for PARAFAC analysis.
Author: Philippe Massicotte [aut, cre]
Maintainer: Philippe Massicotte <pm@bios.au.dk>

Diff between eemR versions 0.1.0 dated 2015-11-19 and 0.1.1 dated 2015-11-24

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Package ACSNMineR updated to version 0.15.11 with previous version 0.10.15 dated 2015-10-27

Title: Gene Enrichment Analysis from ACSN Maps or Gmt Files
Description: Compute and represent gene set enrichment or depletion from your data based on pre-saved maps from the Atlas of Cancer Signalling Networks (ACSN) or user imported maps. The gene set enrichment can be run with hypergeometric test or Fisher exact test, and can use multiple corrections. Visualization of data can be done either by barplots or heatmaps.
Author: Paul Deveau [aut, cre], Eric Bonnet [aut]
Maintainer: Paul Deveau <paul.deveau@curie.fr>

Diff between ACSNMineR versions 0.10.15 dated 2015-10-27 and 0.15.11 dated 2015-11-24

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New package RepeatABEL with initial version 1.0
Package: RepeatABEL
Type: Package
Title: GWAS for Multiple Observations on Related Individuals
Version: 1.0
Date: 2015-11-23
Author: Lars Ronnegard
Maintainer: Lars Ronnegard <lrn@du.se>
Description: Performs genome-wide association studies on individuals that are both related and have repeated measurements.
License: GPL
Imports: methods, stats
Depends: R (>= 2.10), hglm, GenABEL
Packaged: 2015-11-24 07:28:52 UTC; lars
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2015-11-24 15:03:54

More information about RepeatABEL at CRAN
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Package PMCMR updated to version 3.0 with previous version 2.0 dated 2015-11-13

Title: Calculate Pairwise Multiple Comparisons of Mean Rank Sums
Description: The Kruskal and Wallis one-way analysis of variance by ranks can be employed, if the data do not meet the assumptions for one-way ANOVA. Provided that significant differences were detected by the Kruskal-Wallis-Test, one may be interested in applying post-hoc tests for pairwise multiple comparisons of the ranked data (Nemenyi's test, Dunn's test, Conover's test, van der Waerden's test). Similarly, one-way ANOVA with repeated measures that is also referred to as ANOVA with unreplicated block design can also be conducted via the Friedman-Test. The consequent post-hoc pairwise multiple comparison tests according to Nemenyi and Conover are also provided in this package.
Author: Thorsten Pohlert
Maintainer: Thorsten Pohlert <thorsten.pohlert@gmx.de>

Diff between PMCMR versions 2.0 dated 2015-11-13 and 3.0 dated 2015-11-24

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New package pgnorm with initial version 2.0
Package: pgnorm
Type: Package
Title: The p-Generalized Normal Distribution
Version: 2.0
Date: 2015-11-23
Author: Steve Kalke
Maintainer: Steve Kalke <steve.kalke@googlemail.com>
Description: Evaluation of the pdf and the cdf of the univariate, noncentral, p-generalized normal distribution. Sampling from the univariate, noncentral, p-generalized normal distribution using either the p-generalized polar method, the p-generalized rejecting polar method, the Monty Python method, the Ziggurat method or the method of Nardon and Pianca. The package also includes routines for the simulation of the bivariate, p-generalized uniform distribution and the simulation of the corresponding angular distribution.
License: GPL (>= 2)
LazyData: true
NeedsCompilation: no
Packaged: 2015-11-24 07:39:02 UTC; Steve
Repository: CRAN
Date/Publication: 2015-11-24 15:08:34

More information about pgnorm at CRAN
Permanent link

New package netgen with initial version 1.2
Package: netgen
Type: Package
Title: Network Generator for Combinatorial Graph Problems
Description: Methods for the generation of a wide range of network geographies, e.g., grid networks or clustered networks. Useful for the generation of benchmarking instances for the investigation of, e.g., Vehicle-Routing-Problems or Travelling Salesperson Problems.
Version: 1.2
Date: 2015-11-24
Authors@R: c(person("Jakob", "Bossek", email = "j.bossek@gmail.com", role = c("aut", "cre")))
Maintainer: Jakob Bossek <j.bossek@gmail.com>
URL: https://github.com/jakobbossek/netgen
BugReports: https://github.com/jakobbossek/netgen/issues
License: BSD_3_clause + file LICENSE
Depends: BBmisc (>= 1.6), mvtnorm (>= 1.0-2), lhs (>= 0.10), checkmate (>= 1.5.1)
Imports: ggplot2, lpSolve, igraph (>= 0.7.1), stringr (>= 0.6.2)
Suggests: testthat
LazyData: yes
ByteCompile: yes
RoxygenNote: 5.0.0
NeedsCompilation: no
Packaged: 2015-11-24 10:31:33 UTC; jboss
Author: Jakob Bossek [aut, cre]
Repository: CRAN
Date/Publication: 2015-11-24 15:08:32

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Package minpack.lm updated to version 1.2-0 with previous version 1.1-9 dated 2015-09-04

Title: R Interface to the Levenberg-Marquardt Nonlinear Least-Squares Algorithm Found in MINPACK, Plus Support for Bounds
Description: The nls.lm function provides an R interface to lmder and lmdif from the MINPACK library, for solving nonlinear least-squares problems by a modification of the Levenberg-Marquardt algorithm, with support for lower and upper parameter bounds. The implementation can be used via nls-like calls using the nlsLM function.
Author: Timur V. Elzhov, Katharine M. Mullen, Andrej-Nikolai Spiess, Ben Bolker
Maintainer: Katharine M. Mullen <mullenkate@gmail.com>

Diff between minpack.lm versions 1.1-9 dated 2015-09-04 and 1.2-0 dated 2015-11-24

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Package kofnGA updated to version 1.2 with previous version 1.1 dated 2015-02-04

Title: A Genetic Algorithm for Fixed-Size Subset Selection
Description: Function kofnGA uses a genetic algorithm to choose a subset of a fixed size k from the integers 1:n, such that a user-supplied objective function is minimized at that subset. The selection step is done by tournament selection based on ranks, and elitism may be used to retain a portion of the best solutions from one generation to the next.
Author: Mark A. Wolters
Maintainer: Mark A. Wolters <mark@mwolters.com>

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Package h2o updated to version 3.6.0.8 with previous version 3.2.0.3 dated 2015-09-22

Title: R Interface for H2O
Description: R scripting functionality for H2O, the open source math engine for big data that computes parallel distributed machine learning algorithms such as generalized linear models, gradient boosting machines, random forests, and neural networks (deep learning) within various cluster environments.
Author: Spencer Aiello, Tom Kraljevic and Petr Maj, with contributions from the H2O.ai team
Maintainer: Tom Kraljevic <tomk@0xdata.com>

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Package exams updated to version 2.1-0 with previous version 2.0-2 dated 2015-01-14

Title: Automatic Generation of Exams in R
Description: Automatic generation of exams based on exercises in Sweave (R/LaTeX) or R/Markdown format, including multiple-choice questions and arithmetic problems. Exams can be produced in various formats, including PDF, HTML, Moodle XML, QTI 1.2 (for OLAT/OpenOLAT), QTI 2.1, ARSnova, and TCExam. In addition to fully customizable PDF exams, a standardized PDF format is provided that can be printed, scanned, and automatically evaluated.
Author: Achim Zeileis [aut, cre], Bettina Gruen [aut], Friedrich Leisch [aut], Nikolaus Umlauf [aut], Dominik Ernst [ctb]
Maintainer: Achim Zeileis <Achim.Zeileis@R-project.org>

Diff between exams versions 2.0-2 dated 2015-01-14 and 2.1-0 dated 2015-11-24

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More information about exams at CRAN
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Package yummlyr updated to version 0.1.1 with previous version 0.1.0 dated 2015-11-13

Title: R Bindings for Yummly API
Description: Yummly.com is one of the world's largest and most powerful recipe search sites and this package aims to provide R bindings for publicly available Yummly.com Recipe API (https://developer.yummly.com/).
Author: Roman Tsegelskyi
Maintainer: Roman Tsegelskyi <roman.tsegelskyi@gmail.com>

Diff between yummlyr versions 0.1.0 dated 2015-11-13 and 0.1.1 dated 2015-11-24

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More information about yummlyr at CRAN
Permanent link

Package popprxl updated to version 0.1.1 with previous version 0.1 dated 2015-07-19

Title: Read GenAlEx Files Directly from Excel
Description: GenAlEx is a popular Excel macro for genetic analysis. The 'poppr' R package allows import of GenAlEx formatted CSV data. This package serves as a small 'poppr' add on for those who have trouble or simply do not want to export their data into CSV format.
Author: Zhian N. Kamvar [cre, aut]
Maintainer: Zhian N. Kamvar <kamvarz@science.oregonstate.edu>

Diff between popprxl versions 0.1 dated 2015-07-19 and 0.1.1 dated 2015-11-24

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Package netassoc updated to version 0.6.2 with previous version 0.6.0 dated 2015-09-09

Title: Inference of Species Associations from Co-Occurrence Data
Description: Infers species associations from community matrices. Uses local and (optional) regional-scale co-occurrence data by comparing observed partial correlation coefficients between species to those estimated from regional species distributions. Extends Gaussian graphical models to a null modeling framework. Provides interface to a variety of inverse covariance matrix estimation methods.
Author: Benjamin Blonder, Naia Morueta-Holme
Maintainer: Benjamin Blonder <bblonder@gmail.com>

Diff between netassoc versions 0.6.0 dated 2015-09-09 and 0.6.2 dated 2015-11-24

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Package mvabund updated to version 3.11.5 with previous version 3.11.4 dated 2015-10-22

Title: Statistical Methods for Analysing Multivariate Abundance Data
Description: A set of tools for displaying, modeling and analysing multivariate abundance data in community ecology. See 'mvabund-package.Rd' for details of overall package organization. The package is implemented with the Gnu Scientific Library (http://www.gnu.org/software/gsl/) and Rcpp (http://dirk.eddelbuettel.com/code/rcpp.html) R / C++ classes.
Author: Yi Wang, Ulrike Naumann, Stephen Wright, Dirk Eddelbuettel and David Warton
Maintainer: David Warton <David.Warton@unsw.edu.au>

Diff between mvabund versions 3.11.4 dated 2015-10-22 and 3.11.5 dated 2015-11-24

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New package mldr.datasets with initial version 0.3.1
Package: mldr.datasets
Title: R Ultimate Multilabel Dataset Repository
Version: 0.3.1
Date: 2015-11-23
Authors@R: c( person("David", "Charte", email = "fdavidcl@outlook.com", role = "cre"), person("Francisco", "Charte", email = "francisco@fcharte.com", role = "aut"))
Description: Large collection of multilabel datasets along with the functions needed to export them to several formats, to make partitions, and to obtain bibliographic information.
URL: https://github.com/fcharte/mldr.datasets
Depends: R (>= 3.0.0)
Imports: utils
License: LGPL (>= 3) | file LICENSE
LazyData: true
RoxygenNote: 5.0.1
Suggests: mldr
NeedsCompilation: no
Packaged: 2015-11-23 21:01:01 UTC; fdavidcl
Author: David Charte [cre], Francisco Charte [aut]
Maintainer: David Charte <fdavidcl@outlook.com>
Repository: CRAN
Date/Publication: 2015-11-24 07:46:45

More information about mldr.datasets at CRAN
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Package letsR updated to version 2.4 with previous version 2.3 dated 2015-09-17

Title: Tools for Data Handling and Analysis in Macroecology
Description: R functions for handling, processing, and analyzing geographic data on species' distributions and environmental variables as well as species' description and conservation information.
Author: Bruno Vilela & Fabricio Villalobos
Maintainer: Bruno Vilela <brunovilelasilva@hotmail.com>

Diff between letsR versions 2.3 dated 2015-09-17 and 2.4 dated 2015-11-24

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Package dprep updated to version 3.0.2 with previous version 3.0 dated 2015-11-19

Title: Data Pre-Processing and Visualization Functions for Classification
Description: Data preprocessing techniques for classification. Functions for normalization, handling of missing values,discretization, outlier detection, feature selection, and data visualization are included.
Author: Edgar Acuna and the CASTLE research group at The University of Puerto Rico-Mayaguez
Maintainer: Edgar Acuna <edgar.acuna@upr.edu>

Diff between dprep versions 3.0 dated 2015-11-19 and 3.0.2 dated 2015-11-24

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Package cmvnorm updated to version 1.0-3 with previous version 1.0-1 dated 2015-02-09

Title: The Complex Multivariate Gaussian Distribution
Description: Various utilities for the complex multivariate Gaussian distribution.
Author: Robin K. S. Hankin
Maintainer: Robin K. S. Hankin <hankin.robin@gmail.com>

Diff between cmvnorm versions 1.0-1 dated 2015-02-09 and 1.0-3 dated 2015-11-24

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Package clttools updated to version 1.2 with previous version 1.1 dated 2015-08-25

Title: Central Limit Theorem Experiments (Theoretical and Simulation)
Description: Central limit theorem experiments presented by data frames or plots. Functions include generating theoretical sample space, corresponding probability, and simulated results as well.
Author: Simiao Ye, Jingning Mei
Maintainer: Simiao Ye <simiao.ye@gmail.com>

Diff between clttools versions 1.1 dated 2015-08-25 and 1.2 dated 2015-11-24

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Package BMS updated to version 0.3.4 with previous version 0.3.3 dated 2013-11-22

Title: Bayesian Model Averaging Library
Description: Bayesian model averaging for linear models with a wide choice of (customizable) priors. Built-in priors include coefficient priors (fixed, flexible and hyper-g priors), 5 kinds of model priors, moreover model sampling by enumeration or various MCMC approaches. Post-processing functions allow for inferring posterior inclusion and model probabilities, various moments, coefficient and predictive densities. Plotting functions available for posterior model size, MCMC convergence, predictive and coefficient densities, best models representation, BMA comparison.
Author: Martin Feldkircher and Stefan Zeugner
Maintainer: Stefan Zeugner <bms@zeugner.eu>

Diff between BMS versions 0.3.3 dated 2013-11-22 and 0.3.4 dated 2015-11-24

 DESCRIPTION         |   15 ++++-----
 MD5                 |   43 +++++++++++++-------------
 NAMESPACE           |   84 ++++++++++++++++++++++++++++++++++++++++++++++++++--
 NEWS                |only
 R/BMS-internal.R    |   42 ++++++++++++++++++++++++++
 R/bms.R             |   40 +++++++++++++++++-------
 R/c.bma.R           |    2 +
 R/estimates.bma.R   |    4 +-
 R/info.bma.R        |    4 +-
 R/z[.bma.R          |    6 +--
 R/z[.topmod.R       |    4 +-
 R/zzz.R             |   33 ++++++++++++++++++--
 inst/CITATION       |   32 +++++++++++++------
 inst/doc/bms.Rnw    |    2 -
 man/BMS-package.Rd  |    6 +--
 man/bma-class.Rd    |    5 ++-
 man/bms.Rd          |   20 +++++++++---
 man/coef.bma.Rd     |    5 +--
 man/summary.bma.Rd  |    3 -
 man/topmod-class.Rd |    3 +
 man/z[.bma.Rd       |   15 ++++-----
 man/zlm-class.Rd    |    8 ++++
 vignettes/bms.Rnw   |    2 -
 23 files changed, 293 insertions(+), 85 deletions(-)

More information about BMS at CRAN
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