Tue, 25 Jun 2013

Package poweRlaw updated to version 0.20.1 with previous version 0.20.0 dated 2013-06-07

Title: Fitting heavy tailed distributions: the poweRlaw package
Description: This package implements both the discrete and continuous maximum likelihood estimators for fitting the power-law distribution to data. Additionally, a goodness-of-fit based approach is used to estimate the lower cut-off for the scaling region.
Author: Colin Gillespie
Maintainer: Colin Gillespie

Diff between poweRlaw versions 0.20.0 dated 2013-06-07 and 0.20.1 dated 2013-06-25

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New package jvmr with initial version 1.0.3
Package: jvmr
Type: Package
Title: Integration of R, Java, and Scala
Version: 1.0.3
Date: 2013-06-25
Author: David B. Dahl
Maintainer: David B. Dahl
URL: http://dahl.byu.edu/software/jvmr/
Imports: rJava
SystemRequirements: Java (>= 1.6)
Description: Cross-platform, self-contained, and bi-directional interface between R and Scala, Java, and other JVM-based languages.
License: GPL (>= 2)
Packaged: 2013-06-25 11:58:28 UTC; dahl
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2013-06-25 18:37:17

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Package icaOcularCorrection updated to version 2.2.4 with previous version 2.1 dated 2013-06-12

Title: Independent Components Analysis (ICA) based artifact correction.
Description: Removes eye-movement and other types of known (i.e., recorded) or unknown (i.e., not recorded) artifacts using the fastICA package. The correction method proposed in this package is largely based on the method described in on Flexer, Bauer, Pripfl, and Dorffner (2005). The process of correcting electro- and magneto-encephalographic data (EEG/MEG) begins by running function ``icac'', which first performs independent components analysis (ICA) to decompose the data frame into independent components (ICs) using function ``fastICA'' from the package of the same name. It then calculates for each trial the correlation between each IC and each one of the noise signals -- there can be one or more, e.g., vertical and horizontal electro-oculograms (VEOG and HEOG), electro-myograms (EMG), electro-cardiograms (ECG), galvanic skin responses (GSR), and other noise signals. Subsequently, portions of an IC corresponding to trials at which the correlation between it and a noise signal was at or above threshold (set to 0.4 by default; Flexer et al., 2005, p. 1001) are zeroed-out in the source matrix, ``S''. The user can then identify which ICs correlate with the noise signals the most by looking at the summary of the ``icac'' object (using function ``summary.icac''), the scalp topography of the ICs (using function ``topo_ic''), the time courses of the ICs (using functions ``plot_tric'' and ``plot_nic''), and other diagnostic plots. Once these ICs have been identified, they can be completely zeroed-out using function ``update.icac'' and the resulting correction checked using functions ``plot_avgba'' and ``plot_trba''. Some worked-out examples with R code are provided in the package vignette.
Author: Antoine Tremblay, NeuroCognitive Imaging Lab, Dalhousie University
Maintainer: Antoine Tremblay

Diff between icaOcularCorrection versions 2.1 dated 2013-06-12 and 2.2.4 dated 2013-06-25

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Package gRbase updated to version 1.6-10 with previous version 1.6-9 dated 2013-06-18

Title: A package for graphical modelling in R
Description: The gRbase package provides certain general constructs which are used by other graphical modelling packages, in particular by the packages gRain, gRim and gRc. gRbase contains several datasets relevant for use in connection with graphical models. Almost all datasets used in the book Graphical Models with R (2012) are contained in gRbase. gRbase implements several graph algorithms (based mainly on representing graphs as adjacency matrices - either in the form of a standard matrix or a sparse matrix). Some graph algorithms are: (i) maximum cardinality search (for marked and unmarked graphs). (ii) moralize. (iii) triangulate. (iv) junctionTree. gRbase facilities for array operations, gRbase implements functions for testing for conditional independence. gRbase illustrates how hierarchical log-linear models (hllm) may be implemented and describes concept of gmData (graphical meta data). These features, however, are not maintained anymore and remains in gRbase only because there exists a paper describing these facilities: A Common Platform for Graphical Models in R: The gRbase Package, Journal of Statistical Software, Vol 14, No 17, 2005.
Author: Søren Højsgaard with contributions from Claus Dethlefsen and Clive Bowsher
Maintainer: Søren Højsgaard

Diff between gRbase versions 1.6-9 dated 2013-06-18 and 1.6-10 dated 2013-06-25

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More information about gRbase at CRAN
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Package VBmix updated to version 0.2.13 with previous version 0.2.12 dated 2013-06-25

Title: Variational Bayesian mixture models
Description: Variational algorithms and methods for fitting mixture models. Main functions are varbayes, vbcomp, vbconstr, mppca, mmppca and gmmkmsock.
Author: Pierrick Bruneau
Maintainer: Pierrick Bruneau

Diff between VBmix versions 0.2.12 dated 2013-06-25 and 0.2.13 dated 2013-06-25

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Package rbefdata updated to version 0.3.3 with previous version 0.3.2 dated 2013-06-20

Title: BEFdata R package
Description: Basic R package to access data structures offered by any BEFdata portal instance.
Author: Claas-Thido Pfaff , Karin Nadrowski , Xingxing Man
Maintainer: Claas-Thido Pfaff

Diff between rbefdata versions 0.3.2 dated 2013-06-20 and 0.3.3 dated 2013-06-25

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New package Modalclust with initial version 0.4
Package: Modalclust
Type: Package
Title: Hierarchical Modal Clustering
Version: 0.4
Date: 2013-06-21
Author: Surajit Ray and Yansong Cheng
Maintainer: Surajit Ray
Description: Performs Modal Clustering (MAC) including Hierarchical Modal Clustering (HMAC) along with their parallel implementation (PHMAC) over several processors. These model-based non-parametric clustering techniques can extract clusters in very high dimensions with arbitrary density shapes. By default clustering is performed over several resolutions and the results are summarised as a hierarchical tree. Associated plot functions are also provided. There is a package vignette that provides many examples.
Depends: R (>= 2.14.0), mvtnorm, zoo, class
Suggests: MASS, parallel
License: GPL-2
Packaged: 2013-06-25 13:52:13 UTC; sray
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2013-06-25 16:13:15

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Package rgp updated to version 0.3-4 with previous version 0.2-4 dated 2011-10-20

Title: R genetic programming framework
Description: RGP is a simple modular Genetic Programming (GP) system build in pure R. In addition to general GP tasks, the system supports Symbolic Regression by GP through the familiar R model formula interface. GP individuals are represented as R expressions, an (optional) type system enables domain-specific function sets containing functions of diverse domain- and range types. A basic set of genetic operators for variation (mutation and crossover) and selection is provided.
Author: Oliver Flasch, Olaf Mersmann, Thomas Bartz-Beielstein, Joerg Stork, Martin Zaefferer
Maintainer: Oliver Flasch

Diff between rgp versions 0.2-4 dated 2011-10-20 and 0.3-4 dated 2013-06-25

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 172 files changed, 3885 insertions(+), 2153 deletions(-)

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Package RadialPlotter updated to version 1.8 with previous version 1.7 dated 2013-06-19

Title: Package for statistical age models analysis in optically stimulated luminescence dating
Description: Package for estimating parameters of statistical age models in optically stimulated luminescence dating dynamically.
Author: Peng Jun
Maintainer: Peng Jun

Diff between RadialPlotter versions 1.7 dated 2013-06-19 and 1.8 dated 2013-06-25

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 16 files changed, 413 insertions(+), 560 deletions(-)

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Package mem updated to version 1.3 with previous version 1.2 dated 2012-10-01

Title: Moving Epidemics Method R Package.
Description: Modelization of influenza epidemics in order to monitor future activity.
Author: Jose E. Lozano Alonso
Maintainer: Jose E. Lozano Alonso

Diff between mem versions 1.2 dated 2012-10-01 and 1.3 dated 2013-06-25

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Package edrGraphicalTools updated to version 2.0 with previous version 1.0 dated 2010-04-27

Title: Provides tools for dimension reduction methods
Description: This package comes to illustrate the articles "A graphical tool for selecting the number of slices and the dimension of the model in SIR and SAVE approaches" and "Comparison of sliced inverse regression approaches for underdetermined cases"
Author: Raphaël Coudret, Benoît Liquet and Jérôme Saracco
Maintainer:

Diff between edrGraphicalTools versions 1.0 dated 2010-04-27 and 2.0 dated 2013-06-25

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New package fclust with initial version 1.0
Package: fclust
Type: Package
Title: Fuzzy clustering
Version: 1.0
Date: 2013-06-25
Author: Paolo Giordani, Maria Brigida Ferraro
Maintainer: Paolo Giordani
Description: Algorithms for fuzzy clustering and cluster validity indices
Depends: R(>= 2.8.1), base, graphics, stats
License: GPL (>= 2)
LazyLoad: yes
Repository: CRAN
Packaged: 2013-06-25 10:26:12 UTC; Paolo
NeedsCompilation: no
Date/Publication: 2013-06-25 12:46:03

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Package VBmix updated to version 0.2.12 with previous version 0.2.11 dated 2013-03-11

Title: Variational Bayesian mixture models
Description: Variational algorithms and methods for fitting mixture models. Main functions are varbayes, vbcomp, vbconstr, mppca, mmppca and gmmkmsock.
Author: Pierrick Bruneau
Maintainer: Pierrick Bruneau

Diff between VBmix versions 0.2.11 dated 2013-03-11 and 0.2.12 dated 2013-06-25

 DESCRIPTION           |    8 ++++----
 MD5                   |   18 +++++++++---------
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New package LICurvature with initial version 0.1.1
Package: LICurvature
Version: 0.1.1
Date: 2013-06-23
Title: Sensitivity Analysis for Case Weight in Normal Linear Regression
Author: Ehsan Bahrami Samani and Parisa ParsaMaram
Maintainer: Ehsan Bahrami Samani
Description: This package presents a general method for assessing the local influence of minor perturbations of case weight for the linear regression models.
Depends: R (>= 2.14.0), MASS,stats
License: GPL (>= 2)
Contact: +982129902910
Packaged: 2013-06-25 05:18:15 UTC; User
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2013-06-25 08:31:28

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