Mon, 22 Dec 2014

Package urltools updated to version 0.6 with previous version 0.5 dated 2014-12-09

Title: Vectorised Tools for URL Handling and Parsing
Description: A toolkit for handling URLs that so far includes functions for URL encoding and decoding, parsing, and parameter extraction. All functions are designed to be both fast and entirely vectorised. It is intended to be useful for people dealing with web-related datasets, such as server-side logs, although may be useful for other situations involving large sets of URLs.
Author: Oliver Keyes
Maintainer: Oliver Keyes

Diff between urltools versions 0.5 dated 2014-12-09 and 0.6 dated 2014-12-22

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 24 files changed, 241 insertions(+), 193 deletions(-)

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Package TDA updated to version 1.3 with previous version 1.2 dated 2014-10-14

Title: Statistical Tools for Topological Data Analysis
Description: This package provides tools for the statistical analysis of persistent homology and for density clustering.
Author: Brittany T. Fasy, Jisu Kim, Fabrizio Lecci, Clement Maria
Maintainer: Fabrizio Lecci

Diff between TDA versions 1.2 dated 2014-10-14 and 1.3 dated 2014-12-22

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New package SoundexBR with initial version 1.0
Package: SoundexBR
Type: Package
Title: Phonetic-Coding For Portuguese
Version: 1.0
Date/Publication: 2014-12-23 00:27:45
Author: Daniel Marcelino
Maintainer: Daniel Marcelino
Description: The SoundexBR provides an algorithm for decoding names into phonetic codes, as pronounced in Portuguese. It takes an Portuguese name, and returns a simple hash of it; this hash is intended to be the same for words that sound alike. Therefore, homophones can be matched despite minor differences in spelling. The phonetic code itself is a four digits long string composed by one letter followed by three numbers. While the letter is the first letter of the name, the digits encode the remaining consonants of that name.
Suggests: SciencesPo
LazyData: yes
License: AGPL-3
Depends: R (>= 3.0),stats,utils,graphics,grDevices
Enhances: RecordLinkage
BugReports: http://github.com/danielmarcelino/soundexBR
ByteCompile: TRUE
Packaged: 2014-12-22 21:47:08 UTC; daniel
NeedsCompilation: yes
Repository: CRAN

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New package regexr with initial version 0.0.2
Package: regexr
Type: Package
Title: Readable Regular Expressions
Version: 0.0.2
Date: 2014-04-19
Authors@R: c(person("Tyler", "Rinker", email = "tyler.rinker@gmail.com", role = c("aut", "cre")))
Maintainer: Tyler Rinker
Depends: R (>= 3.1.0)
Suggests: testthat, qdapRegex (>= 0.2.0)
LazyData: TRUE
Description: An R framework for constructing human readable regular expressions. It aims to provide tools that enable the user to write regular expressions in a way that is similar to the ways R code is written. The tools allow the user to (1) write in smaller, modular, named, regular expression chunks, (2) write top to bottom, rather than a single string (3) comment individual chunks, (4) indent expressions to represent regular expression groups, and (5) test the validity of the concatenated expression and the modular chunks.
License: GPL-2
URL: http://trinker.github.com/regexr/
BugReports: http://github.com/trinker/regexr/issues
Packaged: 2014-12-22 22:15:09 UTC; Tyler
Author: Tyler Rinker [aut, cre]
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-12-23 00:47:17

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Package KrigInv updated to version 1.3.1 with previous version 1.3 dated 2012-08-10

Title: Kriging-based Inversion for Deterministic and Noisy Computer Experiments
Description: Criteria and algorithms for sequentially estimating level sets of a multivariate numerical function, possibly observed with noise.
Author: Clement Chevalier, Victor Picheny and David Ginsbourger
Maintainer: Clement Chevalier

Diff between KrigInv versions 1.3 dated 2012-08-10 and 1.3.1 dated 2014-12-22

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Package GLDEX updated to version 2.0.0.2 with previous version 2.0.0.1 dated 2014-11-01

Title: Fitting Single and Mixture of Generalised Lambda Distributions (RS and FMKL) using Various Methods
Description: The fitting algorithms considered in this package have two major objectives. One is to provide a smoothing device to fit distributions to data using the weight and unweighted discretised approach based on the bin width of the histogram. The other is to provide a definitive fit to the data set using the maximum likelihood and quantile matching estimation. Other methods such as moment matching, starship method, L moment matching are also provided. Diagnostics on goodness of fit can be done via qqplots, KS-resample tests and comparing mean, variance, skewness and kurtosis of the data with the fitted distribution.
Author: Steve Su, with contributions from: Diethelm Wuertz, Martin Maechler and Rmetrics core team members for low discrepancy algorithm, Juha Karvanen for L moments codes, Robert King for gld C codes and starship codes, Benjamin Dean for corrections and input in ks.gof code and R core team for histsu function.
Maintainer: Steve Su

Diff between GLDEX versions 2.0.0.1 dated 2014-11-01 and 2.0.0.2 dated 2014-12-22

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Package etasFLP updated to version 1.2.0 with previous version 1.1.1 dated 2014-10-30

Title: Mixed FLP and ML Estimation of ETAS Space-Time Point Processes
Description: Estimation of the components of an ETAS model for earthquake description. Non-parametric background seismicity can be estimated through FLP (Forward Likelihood Predictive), while parametric components are estimated through maximum likelihood. The two estimation steps are alternated until convergence is obtained. For each event the probability of being a background event is estimated and used as a weight for declustering steps. Many options to control the estimation process are present. Some descriptive functions for earthquakes catalogs are present; also plot, print, summary, profile methods are defined for main output (objects of class "etasclass").
Author: Marcello Chiodi [aut, cre], Giada Adelfio [aut]
Maintainer: Marcello Chiodi

Diff between etasFLP versions 1.1.1 dated 2014-10-30 and 1.2.0 dated 2014-12-22

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New package BayClone2 with initial version 1.0
Package: BayClone2
Version: 1.0
Date: 2014-17-12
Title: Bayesian Feature Allocation Model for Tumor Heterogeneity
Author: Juhee Lee, Peter Mueller, Subhajit Sengupta, Kamalakar Gulukota, Yuan Ji
Maintainer: Subhajit Sengupta
Depends: R (>= 2.0.1), combinat
Description: The package implements a Bayesian feature allocation model for inference on tumor heterogeneity using next-generation sequencing data. The model identifies the subclonal copy number and single nucleotide mutations at a selected set of loci and provides inference on genetic tumor variation.
License: GPL-3 | file LICENSE
Packaged: 2014-12-22 22:56:05 UTC; subhajit
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2014-12-23 00:39:04

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Package rmarkdown updated to version 0.4.2 with previous version 0.3.3 dated 2014-09-17

Title: Dynamic Documents for R
Description: Convert R Markdown documents into a variety of formats including HTML, MS Word, PDF, and Beamer.
Author: JJ Allaire, Jonathan McPherson, Yihui Xie, Hadley Wickham, Joe Cheng, Jeff Allen
Maintainer: JJ Allaire

Diff between rmarkdown versions 0.3.3 dated 2014-09-17 and 0.4.2 dated 2014-12-22

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Package MPDiR updated to version 0.1-16 with previous version 0.1-15 dated 2014-03-26

Title: Data sets and scripts for Modeling Psychophysical Data in R.
Description: Data sets and scripts for Modeling Psychophysical Data in R (Springer).
Author: Kenneth Knoblauch and Laurence T. Maloney
Maintainer: Ken Knoblauch

Diff between MPDiR versions 0.1-15 dated 2014-03-26 and 0.1-16 dated 2014-12-22

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Package MixGHD updated to version 1.3 with previous version 1.2 dated 2014-12-10

Title: Model Based Clustering, Classification and Discriminant Analysis Using the Mixture of Generalized Hyperbolic Distributions
Description: Carries out model-based clustering, classification and discriminant analysis using five different models. The models are all based on the generalized hyperbolic distribution.The first model MGHD is the classical mixture of generalized hyperbolic distributions. The MGHFA is the mixture of generalized hyperbolic factor analyzers for high dimensional data sets. The MSGHD, mixture of multiple scaled generalized hyperbolic distributions. The cMSGHD is a MSGHD with convex contour plots. The MCGHD, mixture of coalesced generalized hyperbolic distributions is a new more flexible model.
Author: Cristina Tortora, Ryan P. Browne, Brian C. Franczak and Paul D. McNicholas.
Maintainer: Cristina Tortora

Diff between MixGHD versions 1.2 dated 2014-12-10 and 1.3 dated 2014-12-22

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Package diveRsity updated to version 1.9.73 with previous version 1.9.5 dated 2014-04-29

Title: A Comprehensive, General Purpose Population Genetics Analysis Package
Description: Allows the calculation of both genetic diversity partition statistics,genetic differentiation statistics and locus informativeness for ancestry assignment. It also provides users with various option to calculate bootstrapped 95% confidence intervals both across loci, for pairwise population comparisons and to plot these results interactively. V1.2 and up provides parallel computing capabilities and pairwise results without bootstrapping. Weir and Cockerham's 1984 F-statistics are now also calculated. Various plotting features are also provided. Chi-square tests of genetic heterogeneity are also provided. Functionality for the calculation of various diversity parameters is also possible for RAD-seq derived SNP data sets containing thousands of marker loci. A shiny application for the development of microsatellite multiplexes is also available
Author: Kevin Keenan
Maintainer: Kevin Keenan

Diff between diveRsity versions 1.9.5 dated 2014-04-29 and 1.9.73 dated 2014-12-22

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Package vardpoor updated to version 0.2.2 with previous version 0.2.1 dated 2014-12-19

Title: Variance Estimation for Sample Surveys by the Ultimate Cluster Method
Description: Generation of domain variables, linearisation of several nonlinear population statistics (the ratio of two totals, weighted income percentile, at-risk-of-poverty rate, at-risk-of-poverty threshold, Gini coefficient, gender pay gap, median income below at-risk-of-poverty gap, income quintile share ratio, relative median at-risk-of-poverty gap), computation of regression residuals in case of weight calibration, variance estimation of sample surveys by the ultimate cluster method (Hansen, Hurwitz and Madow, 1953), variance estimation for longitudinal, crossectional measures and measures of change for single and multistage stage cluster sampling designs (Berger, Y.G.). Several other precision measures are derived - standard error, the coefficient of variation, the margin of error, confidence interval, design effect.
Author: Juris Breidaks [aut, cre], Martins Liberts [aut], Santa Ivanova [aut]
Maintainer: Juris Breidaks

Diff between vardpoor versions 0.2.1 dated 2014-12-19 and 0.2.2 dated 2014-12-22

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Package timma updated to version 1.0.0 with previous version 0.99.0 dated 2014-12-09

Title: Target Inhibition Interaction using Maximization and Minimization Averaging
Description: Target Inhibition Interaction using Maximization/Minimization Averaging
Author: Liye
Maintainer: Liye He

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Package gets updated to version 0.2 with previous version 0.1 dated 2014-10-15

Title: General-to-Specific (GETS) Modelling and Indicator Saturation Methods
Description: Automated multi-path General-to-Specific (GETS) modelling of the mean and variance of a regression, and indicator saturation methods for detecting structural breaks in the mean. The mean can be specified as an autoregressive model with covariates (an 'AR-X' model), and the variance can be specified as a log-variance model with covariates (a 'log-ARCH-X' model). The four main functions of the package are arx, getsm, getsv and isat. The first function, arx, estimates an AR-X model with log-ARCH-X errors. The second function, getsm, undertakes GETS model selection of the mean specification of an arx object. The third function, getsv, undertakes GETS model selection of the log-variance specification of an arx object. The fourth function, isat, undertakes GETS model selection of an indicator saturated mean specification.
Author: Felix Pretis, James Reade, Genaro Sucarrat
Maintainer: Genaro Sucarrat

Diff between gets versions 0.1 dated 2014-10-15 and 0.2 dated 2014-12-22

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More information about gets at CRAN
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Package AutoSEARCH updated to version 1.4 with previous version 1.3 dated 2014-10-22

Title: General-to-Specific (GETS) Model Selection
Description: Automated multi-path General-to-Specific (GETS) model selection of either an AR-X model with log-ARCH-X errors, or of a log-ARCH-X model of the error. NOTE: The package has been succeeded by the package gets, also available on the CRAN, which is intended to be more user-friendly, faster and easier to extend. AutoSEARCH will continue to be maintained, but the development focus will switch to gets. Users are therefore encouraged to consider gets instead.
Author: Genaro Sucarrat
Maintainer: Genaro Sucarrat

Diff between AutoSEARCH versions 1.3 dated 2014-10-22 and 1.4 dated 2014-12-22

 DESCRIPTION               |    8 ++++----
 MD5                       |   12 ++++++------
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 7 files changed, 18 insertions(+), 16 deletions(-)

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Permanent link

Package mseq (with last version 1.2) was removed from CRAN

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

2011-09-08 1.2
2010-01-28 1.1
2009-12-04 1.0

Permanent link
Package lmbc (with last version 0.9.1) was removed from CRAN

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

2012-02-03 0.9.1
2011-12-15 0.9

Permanent link
Package rgexf (with last version 0.14.3.11) was removed from CRAN

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

2014-03-11 0.14.3.11
2013-08-07 0.13.8
2013-03-14 0.13.03
2013-01-04 0.13.01
2012-06-19 0.12.06

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Package phyext (with last version 0.0.1) was removed from CRAN

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

2011-05-02 0.0.1

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Package Rvcg updated to version 0.10.1 with previous version 0.10 dated 2014-12-16

Title: Manipulations of Triangular Meshes Based on the VCGLIB API
Description: Operations on triangular meshes based on VCGLIB. This package integrates nicely with the R-package "rgl" to render the meshes processed by Rvcg. The Visualization and Computer Graphics Library (VCG for short) is an open source portable C++ templated library for manipulation, processing and displaying with OpenGL of triangle and tetrahedral meshes. The library, composed by more than 100k lines of code, is released under the GPL license, and it is the base of most of the software tools of the Visual Computing Lab of the Italian National Research Council Institute ISTI (http://vcg.isti.cnr.it), like metro and MeshLab. The vcglib source is pulled from trunk (svn://svn.code.sf.net/p/vcg/code/trunk/vcglib) and patched to work with options determined by the configure script as well as to work with the header files included by RcppEigen.
Author: Stefan Schlager; the authors of VCGLIB for the included version of the code
Maintainer: Stefan Schlager

Diff between Rvcg versions 0.10 dated 2014-12-16 and 0.10.1 dated 2014-12-22

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Package mhsmm updated to version 0.4.14 with previous version 0.4.12 dated 2014-01-09

Title: Inference for Hidden Markov and Semi-Markov Models
Description: Parameter estimation and prediction for hidden Markov and semi-Markov models for data with multiple observation sequences. Suitable for equidistant time series data, with multivariate and/or missing data. Allows user defined emission distributions.
Author: Jared O'Connell , Søren Højsgaard
Maintainer: Jared O'Connell

Diff between mhsmm versions 0.4.12 dated 2014-01-09 and 0.4.14 dated 2014-12-22

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More information about mhsmm at CRAN
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Package helsinki updated to version 0.9.24 with previous version 0.9.22 dated 2014-12-19

Title: Helsinki Open Data R Tools
Description: Tools for accessing various open data sources in the Helsinki region in Finland. Current data sources include the Real Estate Department (district maps), the Environmental Services Authority, Service Map API, Linked Events API and Helsinki Region Infoshare statistics API.
Author: Juuso Parkkinen, Leo Lahti, Joona Lehtomaki
Maintainer: Juuso Parkkinen

Diff between helsinki versions 0.9.22 dated 2014-12-19 and 0.9.24 dated 2014-12-22

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Package RSNNS updated to version 0.4-6 with previous version 0.4-5 dated 2014-05-23

Title: Neural Networks in R using the Stuttgart Neural Network Simulator (SNNS)
Description: The Stuttgart Neural Network Simulator (SNNS) is a library containing many standard implementations of neural networks. This package wraps the SNNS functionality to make it available from within R. Using the RSNNS low-level interface, all of the algorithmic functionality and flexibility of SNNS can be accessed. Furthermore, the package contains a convenient high-level interface, so that the most common neural network topologies and learning algorithms integrate seamlessly into R.
Author: Christoph Bergmeir and José M. Benítez
Maintainer: Christoph Bergmeir

Diff between RSNNS versions 0.4-5 dated 2014-05-23 and 0.4-6 dated 2014-12-22

 ChangeLog                                              |    9 
 DESCRIPTION                                            |   15 -
 MD5                                                    |  218 +++++++--------
 NAMESPACE                                              |   44 +--
 R/art1.R                                               |    2 
 R/art2.R                                               |    2 
 R/artmap.R                                             |    2 
 R/assoz.R                                              |    2 
 R/dlvq.R                                               |    2 
 R/elman.R                                              |    2 
 R/jordan.R                                             |    2 
 R/mlp.R                                                |    2 
 R/rbf.R                                                |    2 
 R/rbfDDA.R                                             |    2 
 R/reg_class.R                                          |    2 
 R/rsnns.R                                              |   10 
 R/som.R                                                |    2 
 R/util.R                                               |   15 -
 demo/iris.R                                            |    4 
 demo/mlp_irisSnnsR.R                                   |    4 
 demo/mlp_iris_tuning.R                                 |    4 
 demo/pruning_iris.R                                    |    4 
 demo/pruning_irisSnnsR.R                               |    5 
 demo/rbf_irisSnnsR.R                                   |    4 
 demo/rbf_sin.R                                         |   38 +-
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 man/art2.Rd                                            |  109 +++----
 man/artmap.Rd                                          |  158 ++++-------
 man/assoz.Rd                                           |   84 ++----
 man/confusionMatrix.Rd                                 |   23 -
 man/decodeClassLabels.Rd                               |   36 +-
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 man/dlvq.Rd                                            |  112 +++-----
 man/elman.Rd                                           |  111 +++----
 man/encodeClassLabels.Rd                               |   21 -
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 man/getSnnsRFunctionTable.Rd                           |   15 -
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 man/matrixToActMapList.Rd                              |   28 --
 man/mlp.Rd                                             |  136 ++++-----
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 man/plotROC.Rd                                         |   16 -
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 man/predict.rsnns.Rd                                   |   15 -
 man/print.rsnns.Rd                                     |   11 
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 man/rbfDDA.Rd                                          |   86 ++----
 man/readPatFile.Rd                                     |   14 -
 man/readResFile.Rd                                     |   13 
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 man/savePatFile.Rd                                     |   15 -
 man/setSnnsRSeedValue.Rd                               |   12 
 man/snnsData.Rd                                        |   12 
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 man/splitForTrainingAndTest.Rd                         |   27 -
 man/summary.rsnns.Rd                                   |   29 --
 man/toNumericClassLabels.Rd                            |   10 
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 man/weightMatrix.Rd                                    |   19 -
 src/SnnsCLib.cpp                                       |   60 ++++
 src/SnnsCLibWrapper.cpp                                |    3 
 src/cc_glob.cpp                                        |    2 
 src/kernel.cpp                                         |    3 
 src/kr_io.cpp                                          |    2 
 src/learn_f.cpp                                        |   22 +
 src/prun_f.cpp                                         |   40 +-
 src/u_lrand48.cpp                                      |   29 +-
 110 files changed, 1758 insertions(+), 2130 deletions(-)

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Permanent link

Package pvclust updated to version 1.3-2 with previous version 1.3-1 dated 2014-12-05

Title: Hierarchical Clustering with P-Values via Multiscale Bootstrap Resampling
Description: An implementation of multiscale bootstrap resampling for assessing the uncertainty in hierarchical cluster analysis. It provides AU (approximately unbiased) p-value as well as BP (bootstrap probability) value for each cluster in a dendrogram.
Author: Ryota Suzuki , Hidetoshi Shimodaira
Maintainer: Ryota Suzuki

Diff between pvclust versions 1.3-1 dated 2014-12-05 and 1.3-2 dated 2014-12-22

 DESCRIPTION |    8 ++++----
 MD5         |    4 ++--
 R/pvclust.R |   10 +++++++---
 3 files changed, 13 insertions(+), 9 deletions(-)

More information about pvclust at CRAN
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