Wed, 28 Sep 2016

Package addinslist updated to version 0.2 with previous version 0.1 dated 2016-05-04

Title: Discover and Install Useful RStudio Addins
Description: Browse through a continuously updated list of existing RStudio addins and install/uninstall their corresponding packages.
Author: Dean Attali [aut, cre]
Maintainer: Dean Attali <daattali@gmail.com>

Diff between addinslist versions 0.1 dated 2016-05-04 and 0.2 dated 2016-09-28

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Package VWPre updated to version 0.9.0 with previous version 0.7.0 dated 2016-06-19

Title: Tools for Preprocessing Visual World Data
Description: Gaze data from the Visual World Paradigm requires significant preprocessing prior to plotting and analyzing the data. This package provides functions for preparing visual world eye-tracking data for statistical analysis and plotting. It can prepare data for linear analyses (e.g., ANOVA, Gaussian-family LMER, Gaussian-family GAMM) as well as logistic analyses (e.g., binomial-family LMER and binomial-family GAMM). Additionally, it contains various plotting functions for creating grand average and conditional average plots. See the vignette for samples of the functionality. Currently, the functions in this package are designed for handling data collected with SR Research Eyelink eye trackers using Sample Reports created in SR Research Data Viewer; however, in subsequent releases we would like to add functionality for data collected with other systems.
Author: Vincent Porretta [aut, cre], Aki-Juhani Kyröläinen [aut], Jacolien van Rij [ctb], Juhani Järvikivi [ctb]
Maintainer: Vincent Porretta <vincentporretta@gmail.com>

Diff between VWPre versions 0.7.0 dated 2016-06-19 and 0.9.0 dated 2016-09-28

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New package SCRSELECT with initial version 1.1-0
Package: SCRSELECT
Title: Performs Bayesian Variable Selection on the Covariates in a Semi-Competing Risks Model
Version: 1.1-0
Authors@R: person("Andrew", "Chapple", email = "Andrew.G.Chapple@rice.edu", role = c("aut", "cre"))
Description: Contains four functions used in the DIC-tau_g procedure. SCRSELECT() and SCRSELECTRUN() uses Stochastic Search Variable Selection to select important covariates in the three hazard functions of a semi-competing risks model. These functions perform the Gibbs sampler for variable selection and a Metropolis-Hastings-Green sampler for the number of split points and parameters for the three baseline hazard function. The function SCRSELECT() returns the posterior sample of all quantities sampled in the Gibbs sampler after a burn-in period to a desired file location, while the function SCRSELECTRUN() returns posterior values of important quantities to the DIC-Tau_g procedure in a list. The function DICTAUG() returns a list containing the DIC values for the unique models visited by the DIC-Tau_g grid search. The function ReturnModel() uses SCRSELECTRUN() and DICTAUG() to return a summary of the posterior coefficient vectors for the optimal model along with saving this posterior sample to a desired path location.
Depends: R (>= 3.2.2), mvtnorm
License: GPL-2
LazyData: true
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-09-28 13:00:58 UTC; Andrew
Author: Andrew Chapple [aut, cre]
Maintainer: Andrew Chapple <Andrew.G.Chapple@rice.edu>
Repository: CRAN
Date/Publication: 2016-09-28 21:32:49

More information about SCRSELECT at CRAN
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Package pmml updated to version 1.5.1 with previous version 1.5.0 dated 2015-08-05

Title: Generate PMML for Various Models
Description: The Predictive Model Markup Language (PMML) is an XML-based language which provides a way for applications to define statistical and data mining models and to share models between PMML compliant applications. More information about PMML and the Data Mining Group can be found at http:// www.dmg.org. The generated PMML can be imported into any PMML consuming application, such as the Zementis ADAPA and UPPI scoring engines which allow for predictive models built in R to be deployed and executed on site, in the cloud (Amazon, IBM, and FICO), in-database (IBM Netezza, Pivotal, Sybase IQ, Teradata and Teradata Aster) or Hadoop (Datameer and Hive).
Author: Graham Williams, Tridivesh Jena, Wen Ching Lin, Michael Hahsler (arules), Zementis Inc, Hemant Ishwaran, Udaya B. Kogalur, Rajarshi Guha, Dmitriy Bolotov
Maintainer: Tridivesh Jena <rpmmlsupport@zementis.net>

Diff between pmml versions 1.5.0 dated 2015-08-05 and 1.5.1 dated 2016-09-28

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New package MatchItSE with initial version 1.0
Package: MatchItSE
Type: Package
Title: Calculates SE for Matched Samples from 'MatchIt'
Version: 1.0
Date: 2016-09-06
Author: Thorsten Henke
Maintainer: Thorsten Henke <MatchItSE@thorsten-henke.de>
Description: Contains various methods for Standard Error estimation for 'MatchIt' objects.
URL: https://github.com/thorstenhenke/MatchItSE
BugReports: https://github.com/thorstenhenke/MatchItSE/issues
License: GPL (>= 2)
Depends: R (>= 3.3.1)
Imports: Rcpp (>= 0.12.4), methods
Suggests: optmatch
Enhances: MatchIt
LinkingTo: Rcpp, RcppArmadillo
RoxygenNote: 5.0.1
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2016-09-28 18:33:00 UTC; thorsten
Repository: CRAN
Date/Publication: 2016-09-28 22:44:06

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Package DoE.base updated to version 0.29 with previous version 0.28 dated 2016-03-10

Title: Full Factorials, Orthogonal Arrays and Base Utilities for DoE Packages
Description: Package DoE.base creates full factorial experimental designs and designs based on orthogonal arrays for (industrial) experiments. Additionally, it provides utility functions for the class design, which is also used by other packages for designed experiments.
Author: Ulrike Groemping [aut, cre], Boyko Amarov [ctb], Hongquan Xu [ctb]
Maintainer: Ulrike Groemping <groemping@beuth-hochschule.de>

Diff between DoE.base versions 0.28 dated 2016-03-10 and 0.29 dated 2016-09-28

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New package curry with initial version 0.1.1
Package: curry
Type: Package
Title: Partial Function Application with %<%, %-<%, and %><%
Version: 0.1.1
Date: 2016-09-28
Author: Thomas Lin Pedersen
Maintainer: Thomas Lin Pedersen <thomasp85@gmail.com>
Description: Partial application is the process of reducing the arity of a function by fixing one or more arguments, thus creating a new function lacking the fixed arguments. The curry package provides three different ways of performing partial function application by fixing arguments from either end of the argument list (currying and tail currying) or by fixing multiple named arguments (partial application). This package provides this functionality through the %<%, %-<%, and %><% operators which allows for a programming style comparable to modern functional languages. Compared to other implementations such a purrr::partial() the operators in curry composes functions with named arguments, aiding in autocomplete etc.
License: GPL (>= 2)
LazyData: TRUE
RoxygenNote: 5.0.1
Collate: 'utils.R' 'curry.R' 'partial.R' 'scaffold.R' 'tail_curry.R'
URL: https://github.com/thomasp85/curry
BugReports: https://github.com/thomasp85/curry/issues
NeedsCompilation: no
Packaged: 2016-09-28 18:18:09 UTC; Thomas
Repository: CRAN
Date/Publication: 2016-09-28 22:18:23

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Package astsa updated to version 1.6 with previous version 1.5 dated 2016-07-31

Title: Applied Statistical Time Series Analysis
Description: Contains data sets and scripts to accompany Time Series Analysis and Its Applications: With R Examples by Shumway and Stoffer, fourth edition.
Author: David Stoffer
Maintainer: David Stoffer <stoffer@pitt.edu>

Diff between astsa versions 1.5 dated 2016-07-31 and 1.6 dated 2016-09-28

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New package RDocumentation with initial version 0.6
Package: RDocumentation
Type: Package
Title: Integrate R with 'RDocumentation.org'
Version: 0.6
Author: Jonathan Cornelissen <jonathan@datacamp.com>
Maintainer: Ludovic Vannoorenberghe <ludovic@datacamp.com>
URL: https://www.rdocumentation.org, https://www.datacamp.com
BugReports: https://github.com/datacamp/RDocumentation/issues
Description: Wraps around the default help functionality in R. Instead of plain documentation files, documentation will now show up as it does on 'RDocumentation.org', a platform that shows R documentation from CRAN, GitHub and Bioconductor, together with informative stats to assess the package quality and possibilities to discuss packages.
License: GPL (>= 2)
Imports: httr (>= 1.2.1), proto (>= 0.3-10), rjson (>= 0.2.15), utils, githubinstall
RoxygenNote: 5.0.1
Suggests: testthat
NeedsCompilation: no
Packaged: 2016-09-28 16:38:13 UTC; ludov
Repository: CRAN
Date/Publication: 2016-09-28 19:34:56

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Package msgl updated to version 2.3.0 with previous version 2.2.1 dated 2016-09-10

Title: High Dimensional Multiclass Classification Using Sparse Group Lasso
Description: Multinomial logistic regression with sparse group lasso penalty. Simultaneous feature selection and parameter estimation for classification. Suitable for high dimensional multiclass classification with many classes. The algorithm computes the sparse group lasso penalized maximum likelihood estimate. Use of parallel computing for cross validation and subsampling is supported through the 'foreach' and 'doParallel' packages. Development version is on GitHub, please report package issues on GitHub.
Author: Martin Vincent
Maintainer: Martin Vincent <martin.vincent.dk@gmail.com>

Diff between msgl versions 2.2.1 dated 2016-09-10 and 2.3.0 dated 2016-09-28

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Package fslr updated to version 2.0 with previous version 1.9.2.1 dated 2016-09-06

Title: Wrapper Functions for FSL ('FMRIB' Software Library) from Functional MRI of the Brain ('FMRIB')
Description: Wrapper functions that interface with 'FSL' (http:// fsl.fmrib.ox.ac.uk/fsl/fslwiki/), a powerful and commonly-used 'neuroimaging' software, using system commands. The goal is to be able to interface with 'FSL' completely in R, where you pass R objects of class 'nifti', implemented by package 'oro.nifti', and the function executes an 'FSL' command and returns an R object of class 'nifti' if desired.
Author: John Muschelli <muschellij2@gmail.com>
Maintainer: John Muschelli <muschellij2@gmail.com>

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Package freesurfer updated to version 1.0 with previous version 0.9.8 dated 2016-09-07

Title: Wrapper Functions for 'Freesurfer'
Description: Wrapper functions that interface with 'Freesurfer' (https:// surfer.nmr.mgh.harvard.edu/), a powerful and commonly-used 'neuroimaging' software, using system commands. The goal is to be able to interface with 'Freesurfer' completely in R, where you pass R objects of class 'nifti', implemented by package 'oro.nifti', and the function executes an 'Freesurfer' command and returns an R object of class 'nifti' or necessary output.
Author: John Muschelli <muschellij2@gmail.com>
Maintainer: John Muschelli <muschellij2@gmail.com>

Diff between freesurfer versions 0.9.8 dated 2016-09-07 and 1.0 dated 2016-09-28

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Package cartogram updated to version 0.0.2 with previous version 0.0.1 dated 2016-08-30

Title: Create Cartograms with R
Description: Construct continuous and non-contiguous area cartograms.
Author: Sebastian Jeworutzki [aut, cre], Timothee Giraud [ctb], Nicolas Lambert [ctb], Roger Bivand [cph], Edzer Pebesma [cph]
Maintainer: Sebastian Jeworutzki <sebastian.jeworutzki@ruhr-uni-bochum.de>

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Package BEDMatrix updated to version 1.3.0 with previous version 1.2.0 dated 2016-03-04

Title: Matrices Backed by Binary PED Files (PLINK)
Description: A matrix-like data structure that allows for efficient, convenient, and scalable subsetting of binary genotype/phenotype files generated by PLINK (http://pngu.mgh.harvard.edu/~purcell/plink/), the whole genome association analysis toolset, without loading the entire file into memory.
Author: Alexander Grueneberg [aut, cre], Lian Lian [ctb], Gustavo de los Campos [ctb]
Maintainer: Alexander Grueneberg <alexander.grueneberg@googlemail.com>

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Package AncestryMapper updated to version 2.0 with previous version 1.2 dated 2015-02-03

Title: Assigning Ancestry Based on Population References
Description: Assigns genetic ancestry to an individual and studies relationships between local and global populations.
Author: Tiago R Magalhaes, Eoghan T O'Halloran
Maintainer: Eoghan T O'Halloran <eoghan.ohalloran2@mail.dcu.ie>

Diff between AncestryMapper versions 1.2 dated 2015-02-03 and 2.0 dated 2016-09-28

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Package spm12r updated to version 2.0 with previous version 1.1.1 dated 2015-11-03

Title: Wrapper Functions for 'SPM' (Statistical Parametric Mapping) Version 12 from the 'Wellcome' Trust Centre for 'Neuroimaging'
Description: Installs 'SPM12' to the R library directory and has associated functions for 'fMRI' and general imaging utilities, called through 'MATLAB'.
Author: John Muschelli
Maintainer: John Muschelli <muschellij2@gmail.com>

Diff between spm12r versions 1.1.1 dated 2015-11-03 and 2.0 dated 2016-09-28

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Package sglOptim updated to version 1.3.0 with previous version 1.2.2 dated 2016-09-10

Title: Generic Sparse Group Lasso Solver
Description: Fast generic solver for sparse group lasso optimization problems. The loss (objective) function must be defined in a C++ module. The optimization problem is solved using a coordinate gradient descent algorithm. The algorithm is applicable to a broad class of convex loss functions. Convergence of the algorithm is established (see reference). Use of parallel computing for cross validation and subsampling is supported through the 'foreach' and 'doParallel' packages. Development version is on github, please report package issues on github. Development version is on github, please report package issues on github.
Author: Martin Vincent
Maintainer: Martin Vincent <martin.vincent.dk@gmail.com>

Diff between sglOptim versions 1.2.2 dated 2016-09-10 and 1.3.0 dated 2016-09-28

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Package red updated to version 0.1.1 with previous version 0.1.0 dated 2016-08-23

Title: IUCN Redlisting Tools
Description: Includes algorithms to facilitate the assessment of extinction risk of species according to the IUCN (International Union for Conservation of Nature, see <http://www.iucn.org> for more information) red list criteria.
Author: Pedro Cardoso
Maintainer: Pedro Cardoso <pedro.cardoso@helsinki.fi>

Diff between red versions 0.1.0 dated 2016-08-23 and 0.1.1 dated 2016-09-28

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New package ragtop with initial version 0.5
Package: ragtop
Type: Package
Title: Pricing Equity Derivatives with Extensions of Black-Scholes
Version: 0.5
Date: 2016-09-23
Author: Brian K. Boonstra
Maintainer: Brian K. Boonstra <ragtop@boonstra.org>
Description: Algorithms to price American and European equity options, convertible bonds and a variety of other financial derivatives. It uses an extension of the usual Black-Scholes model in which jump to default may occur at a probability specified by a power-law link between stock price and hazard rate as found in the paper by Takahashi, Kobayashi, and Nakagawa (2001) <doi:10.3905/jfi.2001.319302>. We use ideas and techniques from Andersen and Buffum (2002) <doi:10.2139/ssrn.355308> and Linetsky (2006) <doi:10.1111/j.1467-9965.2006.00271.x>.
Depends: limSolve (>= 1.5.5.1), futile.logger (>= 1.4.1), R (>= 2.10), methods (>= 3.2.2)
Suggests: testthat, roxygen2, knitr, rmarkdown, reshape2, stringr, ggplot2, MASS, RColorBrewer, R.cache, Quandl
License: GPL (>= 2)
LazyData: TRUE
VignetteBuilder: knitr
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-09-28 12:47:09 UTC; brian
Repository: CRAN
Date/Publication: 2016-09-28 17:10:48

More information about ragtop at CRAN
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Package QGglmm updated to version 0.5 with previous version 0.4 dated 2016-07-13

Title: Estimate Quantitative Genetics Parameters from Generalised Linear Mixed Models
Description: Compute various quantitative genetics parameters from a Generalised Linear Mixed Model (GLMM) estimates. Especially, it yields the observed phenotypic mean, phenotypic variance and additive genetic variance.
Author: Pierre de Villemereuil <bonamy@horus.ens.fr>
Maintainer: Pierre de Villemereuil <bonamy@horus.ens.fr>

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Package pcalg updated to version 2.4-3 with previous version 2.4-2 dated 2016-09-26

Title: Methods for Graphical Models and Causal Inference
Description: Functions for causal structure learning and causal inference using graphical models. The main algorithms for causal structure learning are PC (for observational data without hidden variables), FCI and RFCI (for observational data with hidden variables), and GIES (for a mix of data from observational studies (i.e. observational data) and data from experiments involving interventions (i.e. interventional data) without hidden variables). For causal inference the IDA algorithm, the Generalized Backdoor Criterion (GBC) and the Generalized Adjustment Criterion (GAC) are implemented.
Author: Markus Kalisch [aut, cre], Alain Hauser [aut], Martin Maechler [aut], Diego Colombo [ctb], Doris Entner [ctb], Patrik Hoyer [ctb], Antti Hyttinen [ctb], Jonas Peters [ctb], Nicoletta Andri [ctb], Emilija Perkovic [ctb], Preetam Nandy [ctb], Philipp Ruetimann [ctb], Daniel Stekhoven [ctb], Manuel Schuerch [ctb]
Maintainer: Markus Kalisch <kalisch@stat.math.ethz.ch>

Diff between pcalg versions 2.4-2 dated 2016-09-26 and 2.4-3 dated 2016-09-28

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Package papayar updated to version 1.0 with previous version 0.0.3 dated 2016-05-12

Title: View Medical Research Images using the Papaya JavaScript Library
Description: Users pass images and objects of class 'nifti' from the 'oro.nifti' package to a Papaya, an interactive lightweight JavaScript viewer. Although many packages can view individual slices or projections of image and matrix data, this package allows for quick and easy interactive browsing of images. The viewer is based off of the Mango software, which is a lightweight medical image viewer.
Author: John Muschelli
Maintainer: John Muschelli <muschellij2@gmail.com>

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Package jiebaR updated to version 0.9.1 with previous version 0.8.1 dated 2016-04-18

Title: Chinese Text Segmentation
Description: Chinese text segmentation, keyword extraction and speech tagging For R.
Author: Qin Wenfeng, and the authors of CppJieba for the included version of CppJieba
Maintainer: Qin Wenfeng <mail@qinwenfeng.com>

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Package histmdl updated to version 0.6-1 with previous version 0.5-1 dated 2016-01-26

Title: A Most Informative Histogram-Like Model
Description: Using the MDL principle, it is possible to estimate parameters for a histogram-like model. The package contains the implementation of such an estimation method.
Author: Jouke Witteveen
Maintainer: Jouke Witteveen <j.witteveen@gmail.com>

Diff between histmdl versions 0.5-1 dated 2016-01-26 and 0.6-1 dated 2016-09-28

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New package elhmc with initial version 1.0.0
Package: elhmc
Type: Package
Title: Sampling from a Empirical Likelihood Bayesian Posterior of Parameters Using Hamiltonian Monte Carlo
Version: 1.0.0
Date: 2016-09-27
Author: Dang Trung Kien <stadtk@nus.edu.sg>, Sanjay Chaudhuri <stasc@nus.edu.sg>, Neo Han Wei <a0086731@u.nus.edu>,
Maintainer: Sanjay Chaudhuri <stasc@nus.edu.sg>
Description: A tool to draw samples from a Empirical Likelihood Bayesian posterior of parameters using Hamiltonian Monte Carlo.
Imports: emplik, plyr, stats
License: GPL-2
LazyData: TRUE
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-09-28 08:03:19 UTC; kiendang
Repository: CRAN
Date/Publication: 2016-09-28 17:10:35

More information about elhmc at CRAN
Permanent link

Package sdmpredictors (with last version 0.1.0) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2016-09-26 0.1.0

Permanent link
Package rcmdcheck updated to version 1.2.1 with previous version 1.1.0 dated 2016-04-16

Title: Run 'R CMD check' from 'R' and Capture Results
Description: Run 'R CMD check' from 'R' programmatically, and capture the results of the individual checks.
Author: Gabor Csardi
Maintainer: Gabor Csardi <gcsardi@mango-solutions.com>

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Package RCircos updated to version 1.2.0 with previous version 1.1.3 dated 2015-12-14

Title: Circos 2D Track Plot
Description: A simple and flexible way to generate Circos 2D track plot images for genomic data visualization is implemented in this package. The types of plots include: heatmap, histogram, lines, scatterplot, tiles and plot items for further decorations include connector, link (lines and ribbons), and text (gene) label. All functions require only R graphics package that comes with R base installation.
Author: Hongen Zhang
Maintainer: Hongen Zhang <hzhang.henry@gmail.com>

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Package lsgl updated to version 1.3.0 with previous version 1.2.1 dated 2016-09-10

Title: Linear Sparse Group Lasso
Description: Linear multiple output using sparse group lasso. The algorithm finds the sparse group lasso penalized maximum likelihood estimator. This result in feature and parameter selection, and parameter estimation. Use of parallel computing for cross validation and subsampling is supported through the 'foreach' and 'doParallel' packages. Development version is on github, please report package issues on github.
Author: Martin Vincent
Maintainer: Martin Vincent <martin.vincent.dk@gmail.com>

Diff between lsgl versions 1.2.1 dated 2016-09-10 and 1.3.0 dated 2016-09-28

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 17 files changed, 153 insertions(+), 84 deletions(-)

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Package gcbd updated to version 0.2.6 with previous version 0.2.5 dated 2013-12-12

Title: 'GPU'/CPU Benchmarking in Debian-Based Systems
Description: 'GPU'/CPU Benchmarking on Debian-package based systems This package benchmarks performance of a few standard linear algebra operations (such as a matrix product and QR, SVD and LU decompositions) across a number of different 'BLAS' libraries as well as a 'GPU' implementation. To do so, it takes advantage of the ability to 'plug and play' different 'BLAS' implementations easily on a Debian and/or Ubuntu system. The current version supports - 'Reference BLAS' ('refblas') which are un-accelerated as a baseline - Atlas which are tuned but typically configure single-threaded - Atlas39 which are tuned and configured for multi-threaded mode - 'Goto Blas' which are accelerated and multi-threaded - 'Intel MKL' which is a commercial accelerated and multithreaded version. As for 'GPU' computing, we use the CRAN package - 'gputools' For 'Goto Blas', the 'gotoblas2-helper' script from the ISM in Tokyo can be used. For 'Intel MKL' we use the Revolution R packages from Ubuntu 9.10.
Author: Dirk Eddelbuettel
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between gcbd versions 0.2.5 dated 2013-12-12 and 0.2.6 dated 2016-09-28

 ChangeLog          |   23 +++++++++++++++++++++++
 DESCRIPTION        |   39 +++++++++++++++++++--------------------
 MD5                |   14 +++++++-------
 NAMESPACE          |   11 ++++++++++-
 R/benchmark.R      |   14 +++++++-------
 build/vignette.rds |binary
 inst/doc/gcbd.pdf  |binary
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 8 files changed, 70 insertions(+), 39 deletions(-)

More information about gcbd at CRAN
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New package FuzzyR with initial version 2.0
Package: FuzzyR
Type: Package
Title: Fuzzy Logic Toolkit for R
Version: 2.0
Date: 2016-09-27
Author: Jon Garibaldi, Chao Chen, Tajul Razak
Maintainer: Jon Garibaldi <fuzzyr@cs.nott.ac.uk>
Depends: R (>= 3.0.0)
Imports: splines, shiny, plyr
Description: Design and simulate fuzzy logic systems using Type 1 Fuzzy Logic. This toolkit includes with graphical user interface (GUI) and an adaptive neuro-fuzzy inference system (ANFIS). This toolkit is a continuation from the previous package ('FuzzyToolkitUoN'). Produced by the Intelligent Modelling & Analysis Group, University of Nottingham.
License: GPL (>= 2)
LazyData: TRUE
URL: http://ima.ac.uk
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-09-27 19:23:26 UTC; psxtrr
Repository: CRAN
Date/Publication: 2016-09-28 08:34:05

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Package easyVerification updated to version 0.3.0 with previous version 0.2.0 dated 2016-01-25

Title: Ensemble Forecast Verification for Large Data Sets
Description: Set of tools to simplify application of atomic forecast verification metrics for (comparative) verification of ensemble forecasts to large data sets. The forecast metrics are imported from the 'SpecsVerification' package, and additional forecast metrics are provided with this package. Alternatively, new user-defined forecast scores can be implemented using the example scores provided and applied using the functionality of this package.
Author: MeteoSwiss [aut, cph], Jonas Bhend [cre], Jacopo Ripoldi [ctb], Claudia Mignani [ctb], Irina Mahlstein [ctb], Rebecca Hiller [ctb], Christoph Spirig [ctb], Mark Liniger [ctb], Andreas Weigel [ctb], Joaqu'in Bedia Jimenez [ctb], Matteo De Felice [ctb]
Maintainer: Jonas Bhend <jonas.bhend@meteoswiss.ch>

Diff between easyVerification versions 0.2.0 dated 2016-01-25 and 0.3.0 dated 2016-09-28

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More information about easyVerification at CRAN
Permanent link

Package DJL updated to version 2.6 with previous version 2.5 dated 2016-08-18

Title: Distance Measure Based Judgment and Learning
Description: Implements various decision support tools related to the new product development. Subroutines include correlation reliability test, Mahalanobis distance measure for outlier detection, combinatorial search (all possible subset regression), non-parametric efficiency analysis measures: DDF (directional distance function), DEA (data envelopment analysis), HDF (hyperbolic distance function), SBM (slack-based measure), and SF (shortage function), benchmarking, risk analysis, technology adoption model, new product target setting, etc.
Author: Dong-Joon Lim, PhD
Maintainer: Dong-Joon Lim <tgno3.com@gmail.com>

Diff between DJL versions 2.5 dated 2016-08-18 and 2.6 dated 2016-09-28

 DESCRIPTION               |    6 -
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 NAMESPACE                 |    4 
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Package comf updated to version 0.1.6 with previous version 0.1.5 dated 2016-09-13

Title: Functions for Thermal Comfort Research
Description: Functions to calculate various common and less common thermal comfort indices, convert physical variables, and evaluate the performance of thermal comfort indices.
Author: Marcel Schweiker [aut, cre] and Sophia Mueller [aut] and Michael Kleber [ctr] and Boris Kingma [ctr] and Masanori Shukuya [ctr]
Maintainer: Marcel Schweiker <marcel.schweiker@kit.edu>

Diff between comf versions 0.1.5 dated 2016-09-13 and 0.1.6 dated 2016-09-28

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More information about comf at CRAN
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