Fri, 23 May 2014

Package qdapTools updated to version 1.0.0 with previous version 0.2.0 dated 2014-05-16

Title: Tools for the qdap package.
Description: This package is a collection of tools associated with the qdap package that may be useful outside of the context of text analysis.
Author: Bryan Goodrich [ctb], Dason Kurkiewicz [ctb], Kirill Muller [ctb], Tyler Rinker [aut, cre]
Maintainer: Tyler Rinker

Diff between qdapTools versions 0.2.0 dated 2014-05-16 and 1.0.0 dated 2014-05-23

 DESCRIPTION        |    9 +
 MD5                |   58 +++++++-----
 NAMESPACE          |   18 +++
 NEWS               |   40 ++++++++
 R/hash.R           |  155 +++++++++++++++++++++++---------
 R/hash2.R          |only
 R/id.R             |   13 +-
 R/list2df.R        |   49 ++++++++--
 R/lookup.R         |  256 ++++++++++++++++++++++++++++++-----------------------
 R/lookup_e.R       |only
 R/mtabulate.R      |    4 
 R/pad.R            |    1 
 R/repo2github.R    |   13 +-
 R/url_dl.R         |    2 
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 inst/CITATION      |    4 
 man/Deprecated.Rd  |only
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 man/pad.Rd         |    1 
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 man/url_dl.Rd      |    2 
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 tests              |only
 28 files changed, 618 insertions(+), 301 deletions(-)

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New package memgene with initial version 0.12
Package: memgene
Type: Package
Title: Spatial pattern detection in genetic distance data using Moran's Eigenvector Maps
Version: 0.12
Date: 2014-03-11
Author: Pedro Peres-Neto, Paul Galpern
Maintainer: Paul Galpern
Description: Memgene can detect relatively small reductions in the amount of gene flow across space by using Moran's Eigenvector Maps (MEM) to extract only the spatial component of genetic variation. Memgene has applications in landscape genetics where the movement and dispersal of organisms are studied using neutral genetic variation.
License: GPL (>= 2)
Imports: ade4
Suggests: adegenet, geosphere, vegan, raster
Packaged: 2014-05-23 17:24:55 UTC; pgalpern
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-05-23 21:07:46

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New package hyperSpec with initial version 0.98-20140523
Package: hyperSpec
Type: Package
Title: Interface for hyperspectral data, i.e. spectra + meta info (spatial, time, concentration, ...)
Version: 0.98-20140523
Date: 2014-05-23
Author: Claudia Beleites
Maintainer: Claudia Beleites
Description: This package is an interface to handle hyperspectral data sets in R. I.e. spatially or time-resolved spectra, or spectra with any other kind of information associated with each of the spectra. The spectra can be data as obtained in XRF, UV/VIS, Fluorescence, AES, NIR, IR, Raman, NMR, MS, etc. More generally, any data that is recorded over a discretized variable, e.g. absorbance = f (wavelength), stored as a vector of absorbance values for discrete wavelengths is suitable.
License: GPL (>= 3)
LazyLoad: yes
LazyData: yes
Depends: R (>= 2.15), methods, utils, lattice, grid, mvtnorm
Suggests: R.matlab, latticeExtra, tripack, deldir, rgl, plotrix, testthat, ggplot2 (>= 0.9.2), playwith, latticist, svUnit, sp, baseline, compiler, inline, Rcpp, MASS, fastcluster, pls
URL: http://hyperSpec.r-forge.r-project.org/
Collate: 'hyperspec-package.R' 'validate.R' 'hyperspec-class.R' 'aggregate.R' 'all.equal.R' 'apply.R' 'paste.row.R' 'Arith.R' 'as.data.frame.R' 'barbiturates.R' 'bind.R' 'call.list.R' 'chk.hy.R' 'chondro.R' 'collapse.R' 'Compare.R' 'decomposition.R' 'dimnames.R' 'dim.R' 'DollarNames.R' 'empty.R' 'wl2i.R' 'extract.R' 'factor2num.R' 'flu.R' 'getbynames.R' 'initialize.R' 'labels.R' 'laser.R' 'plotmap.R' 'levelplot.R' 'logbook.R' 'logentry.R' 'map.identify.R' 'map.sel.poly.R' 'mark.dendrogram.R' 'Math.R' 'matlab.palette.R' 'mean_sd.R' 'merge.R' 'options.R' 'orderwl.R' 'paracetamol.R' 'pearson.dist.R' 'plotc.R' 'plot.R' 'plotspc.R' 'plotvoronoi.R' 'qplotmixmap.R' 'qplot.R' 'rbind.fill.R' 'read.ENVI.Nicolet.R' 'read.ENVI.R' 'read.spc.Kaiser.R' 'read.spc.R' 'read.txt.long.R' 'read.txt.wide.R' 'replace.R' 'sample.R' 'scan.txt.Renishaw.R' 'scan.txt.Witec.R' 'sel.poly.R' 'seq.R' 'show.R' 'spc.bin.R' 'spc.fit.poly.R' 'spc.identify.R' 'spc.loess.R' 'spc.NA.approx.R' 'splitdots.R' 'split.R' 'split.string.R' 'Summary.R' 'sweep.R' 'trellis.factor.key.R' 'unittest.R' 'wc.R' 'wl.R' 'write.txt.long.R' 'write.txt.wide.R' 'zzz.R' 'units.R' 'colMeans.R' 'cov.R' 'makeraster.R' 'mvtnorm.R' 'normalize01.R' 'plotmat.R' 'read.cytomat.R' 'read.ini.R' 'read.jdx.R' 'read.jdx.Shimadzu.R' 'read.txt.Horiba.R' 'read.txt.Shimadzu.R' 'scale.R' 'spc.rubberband.R' 'spc.spline.R' 'subset.R' 'vandermonde.R' 'wleval.R' 'y-pastenames.R'
Packaged: 2014-05-23 11:39:16 UTC; cb
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-05-23 21:07:34

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Package VAR.etp updated to version 0.3 with previous version 0.2 dated 2014-04-16

Title: VAR modelling: estimation, testing, and prediction
Description: Estimation, Hypothesis Testing, Prediction for Stationary Vector Autoregressive Models
Author: Jae. H. Kim
Maintainer: Jae H. Kim

Diff between VAR.etp versions 0.2 dated 2014-04-16 and 0.3 dated 2014-05-23

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 VAR.etp-0.3/VAR.etp/DESCRIPTION            |    8 ++--
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 44 files changed, 59 insertions(+), 31 deletions(-)

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New package rpart.utils with initial version 0.5
Package: rpart.utils
Title: Tools for parsing and manipulating rpart objects, including generating machine readable rules.
Version: 0.5
Author: Craig Varrichio
Maintainer: Craig Varrichio
Description: This package contains additional tools for working with rpart objects. Most importantly, it includes methods for converting rpart rules into a series of structured tables sufficient for executing the decision tree completely in SQL.
Depends: R (>= 3.1.0), rpart
Suggests: RODBC
License: GPL-3
LazyData: true
Packaged: 2014-05-23 15:49:32 UTC; CVarrichio
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-05-23 18:31:33

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Package nanop updated to version 2.0-3 with previous version 2.0-2 dated 2013-10-25

Title: Tools for Nanoparticle Simulation and Calculation of PDF and Total Scattering Structure Function
Description: This software package implements functions to simulate spherical, ellipsoid and cubic polyatomic nanoparticles with arbitrary crystal structures and to calculate the associated pair-distribution function and X-ray/neutron total-scattering signals. It also provides a target function that can be used for simultaneous fitting of small- and wide-angle total scattering data in real and reciprocal spaces. The target function can be generated either as a sum of weighted residuals for individual datasets or as a vector of residuals suitable for optimization using multi-criteria algorithms (e.g. Pareto methods).
Author: Anton Gagin, Katharine Mullen
Maintainer: Anton Gagin

Diff between nanop versions 2.0-2 dated 2013-10-25 and 2.0-3 dated 2014-05-23

 DESCRIPTION        |   11 
 MD5                |   17 
 NEWS               |    5 
 R/calcQDepPDF.R    |    6 
 R/calcTotalScatt.R |   22 
 R/simPart.R        | 1453 ++++++++++++++++++++++++++---------------------------
 R/termRip.R        |only
 man/calcPDF.Rd     |    8 
 man/rss.Rd         |    2 
 src/pdf_debye.c    |   22 
 10 files changed, 781 insertions(+), 765 deletions(-)

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New package Modalclust with initial version 0.6
Package: Modalclust
Type: Package
Title: Hierarchical Modal Clustering
Version: 0.6
Date: 2014-05-23
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. This version adheres to CRAN policy of not spanning more than two child processes by default.
Depends: R (>= 2.14.0), mvtnorm, zoo, class
Suggests: parallel, MASS
License: GPL-2
Packaged: 2014-05-23 14:14:17 UTC; sray
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-05-23 18:31:24

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Package lazyWeave updated to version 2.2.5 with previous version 2.2.0 dated 2012-09-11

Title: LaTeX Wrappers for R Users
Description: Provides the functionality to write LaTeX code from within R without having to learn LaTeX.
Author: Benjamin Nutter
Maintainer: Benjamin Nutter

Diff between lazyWeave versions 2.2.0 dated 2012-09-11 and 2.2.5 dated 2014-05-23

 DESCRIPTION              |   12 
 MD5                      |  147 ++++-----
 NAMESPACE                |   14 
 NEWS                     |   42 +-
 R/catconttable.R         |   76 +++--
 R/cattable.R             |  423 ++++++++++++++--------------
 R/conttable.R            |  358 ++++++++++++-----------
 R/is.significant.R       |   18 -
 R/lazy.build.R           |  222 +++++++-------
 R/lazy.citation.R        |   62 ++--
 R/lazy.counter.R         |  146 ++++-----
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 75 files changed, 3948 insertions(+), 3949 deletions(-)

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Package fdakma updated to version 1.1 with previous version 1.0 dated 2013-07-31

Title: Clustering and alignment of a functional dataset
Description: The package fdakma jointly performs clustering and alignment of a multidimensional or unidimensional functional dataset.
Author: Mirco Patriarca, Laura Sangalli, Piercesare Secchi, Simone Vantini, Valeria Vitelli, Alice Parodi.
Maintainer: Alice Parodi

Diff between fdakma versions 1.0 dated 2013-07-31 and 1.1 dated 2014-05-23

 DESCRIPTION             |   12 
 MD5                     |   23 -
 R/fdakma-internal.R     |only
 R/kma.R                 |  764 ++++++++++++++++++++++++++----------------------
 R/kma.compare.R         |   70 ++--
 R/kma.show.results.R    |  746 +++++++++++++++++++++++++---------------------
 R/kma.similarity.R      |  126 +++----
 data/kma.data.rda       |binary
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 13 files changed, 980 insertions(+), 835 deletions(-)

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New package dissUtils with initial version 0.0
Package: dissUtils
Type: Package
Title: Utilities for making pairwise comparisons of multivariate data
Version: 0.0
Date: 2012-12-06
Author: Benjamin N. Taft
Maintainer: Benjamin N. Taft
Depends: R (>= 2.14)
Suggests: MASS (>= 1.0)
SuggestsNote: the examples use mvrnorm() from MASS
Description: This package has extensible C++ code for computing dissimilarities between vectors. It also has a number of C++ functions for assembling collections of dissimilarities. In particular, it lets you find a matrix of dissimilarities between the rows of two input matrices. There are also functions for finding the nearest neighbors of each row of a matrix, either within the matrix itself or within another matrix.
License: GPL (>= 2) | file LICENSE
Packaged: 2014-05-22 23:51:49 UTC; ben
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2014-05-23 15:31:05

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Package MicSim updated to version 1.0.4 with previous version 1.0.3 dated 2014-04-23

Title: Performing continuous-time microsimulation
Description: The package performs continuous-time microsimulation for population projections.
Author: Sabine Zinn
Maintainer: Sabine Zinn

Diff between MicSim versions 1.0.3 dated 2014-04-23 and 1.0.4 dated 2014-05-23

 DESCRIPTION                |    8 ++---
 MD5                        |   16 ++++++-----
 NAMESPACE                  |    2 -
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Package fda updated to version 2.4.3 with previous version 2.4.0 dated 2013-10-18

Title: Functional Data Analysis
Description: These functions were developed to support functional data analysis as described in Ramsay, J. O. and Silverman, B. W. (2005) Functional Data Analysis. New York: Springer. They were ported from earlier versions in Matlab and S-PLUS. An introduction appears in Ramsay, J. O., Hooker, Giles, and Graves, Spencer (2009) Functional Data Analysis with R and Matlab (Springer). The package includes data sets and script files working many examples including all but one of the 76 figures in this latter book. Matlab versions of the code and sample analyses are no longer distributed through CRAN, as they were when the book was published. For those, ftp from http://www.psych.mcgill.ca/misc/fda/downloads/FDAfuns/ There you find a set of .zip files containing the functions and sample analyses, as well as two .txt files giving instructions for installation and some additional information. The changes from Version 2.4.1 are fixes of bugs in density.fd and removal of functions create.polynomial.basis, polynompen, and polynomial. These were deleted because the monomial basis does the same thing and because there were errors in the code.
Author: J. O. Ramsay , Hadley Wickham , Spencer Graves , Giles Hooker
Maintainer: J. O. Ramsay

Diff between fda versions 2.4.0 dated 2013-10-18 and 2.4.3 dated 2014-05-23

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 fda-2.4.3/fda/R/basisfd.R                     |   12 
 fda-2.4.3/fda/R/density.fd.R                  |  556 +++++++++----------
 fda-2.4.3/fda/R/fdPar.R                       |    3 
 fda-2.4.3/fda/R/getbasismatrix.R              |    9 
 fda-2.4.3/fda/R/getbasispenalty.R             |    5 
 fda-2.4.3/fda/R/linmod.R                      |    4 
 fda-2.4.3/fda/R/pda.fd.R                      |  740 +++++++++++++-------------
 fda-2.4.3/fda/R/smooth.pos.R                  |   49 +
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 fda-2.4.3/fda/man/create.exponential.basis.Rd |  249 ++++----
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 fda-2.4.3/fda/man/create.polygonal.basis.Rd   |  257 ++++-----
 fda-2.4.3/fda/man/create.power.basis.Rd       |  269 ++++-----
 fda-2.4.3/fda/man/density.fd.Rd               |    2 
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 fda-2.4.3/fda/man/intensity.fd.Rd             |    3 
 fda-2.4.3/fda/man/landmarkreg.Rd              |    5 
 fda-2.4.3/fda/man/monfn.Rd                    |    5 
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 fda-2.4.3/fda/man/pda.overlay.Rd              |    8 
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 57 files changed, 1942 insertions(+), 1886 deletions(-)

More information about fda at CRAN
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Package tsbridge updated to version 1.1 with previous version 1.0 dated 2013-10-15

Title: Calculate normalising constants for Bayesian time series models.
Description: The tsbridge package contains a collection of R functions that can be used to estimate normalising constants using the bridge sampler of Meng and Wong (1996). The functions can be applied to calculate posterior model probabilities for a variety of time series Bayesian models, where parameters are estimated using BUGS, and models themselves are created using the tsbugs package.
Author: Guy J. Abel and Jackie S. T. Wong
Maintainer: Guy J. Abel

Diff between tsbridge versions 1.0 dated 2013-10-15 and 1.1 dated 2014-05-23

 DESCRIPTION             |   12 +-
 MD5                     |   18 +--
 NAMESPACE               |    1 
 R/h.fit.R               |    3 
 R/tsbridge-internal.R   |  251 +++++++++++++++++++++++-------------------------
 demo/cv_bma.R           |    2 
 man/bridge.Rd           |    2 
 man/q1q2l.Rd            |    2 
 man/tsbridge-package.Rd |    4 
 man/y.fit.Rd            |    3 
 10 files changed, 149 insertions(+), 149 deletions(-)

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Permanent link

Package sparkTable updated to version 0.10.0 with previous version 0.9.6 dated 2012-09-27

Title: Sparklines and graphical tables for tex and html
Description: Create Sparklines and graphical tables for documents and websites
Author: Alexander Kowarik, Bernhard Meindl, Matthias Templ
Maintainer: Alexander Kowarik

Diff between sparkTable versions 0.9.6 dated 2012-09-27 and 0.10.0 dated 2014-05-23

 DESCRIPTION                     |   18 ++++----
 MD5                             |   37 ++++++++++------
 NAMESPACE                       |   17 ++++---
 R/auxFunctions.r                |    1 
 R/exports.r                     |   42 +++++++++++-------
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 20 files changed, 182 insertions(+), 110 deletions(-)

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Package alphashape3d updated to version 1.1 with previous version 1.0-4 dated 2014-01-11

Title: Implementation of the 3D alpha-shape for the reconstruction of 3D sets from a point cloud
Description: The package alphashape3d presents the implementation in R of the alpha-shape of a finite set of points in the three-dimensional space. This geometric structure generalizes the convex hull and allows to recover the shape of non-convex and even non-connected sets in 3D, given a random sample of points taken into it. Besides the computation of the alpha-shape, the package alphashape3d provides users with functions to compute the volume of the alpha-shape, identify the connected components and facilitate the three-dimensional graphical visualization of the estimated set.
Author: Thomas Lafarge, Beatriz Pateiro-Lopez
Maintainer: Beatriz Pateiro-Lopez

Diff between alphashape3d versions 1.0-4 dated 2014-01-11 and 1.1 dated 2014-05-23

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 alphashape3d-1.1/alphashape3d/R/ashape3d.R                |  833 +++++++-------
 alphashape3d-1.1/alphashape3d/R/components_ashape3d.R     |  172 +-
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 alphashape3d-1.1/alphashape3d/R/intersectiontriangle.R    |   18 
 alphashape3d-1.1/alphashape3d/R/plot.ashape3d.R           |  186 +--
 alphashape3d-1.1/alphashape3d/R/surfaceNormals.R          |  114 +
 alphashape3d-1.1/alphashape3d/R/volume_ashape3d.R         |  143 +-
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More information about alphashape3d at CRAN
Permanent link

Package ExtremeBounds updated to version 0.1.4.1 with previous version 0.1.3 dated 2014-03-21

Title: Extreme Bounds Analysis (EBA)
Description: An implementation of Extreme Bounds Analysis (EBA), a global sensitivity analysis that examines the robustness of determinants in regression models. The package supports both Leamer's and Sala-i-Martin's versions of EBA, and allows users to customize all aspects of the analysis.
Author: Marek Hlavac
Maintainer: Marek Hlavac

Diff between ExtremeBounds versions 0.1.3 dated 2014-03-21 and 0.1.4.1 dated 2014-05-23

 DESCRIPTION                  |    9 +-
 MD5                          |   32 ++++----
 NAMESPACE                    |    1 
 R/ExtremeBounds-internal.R   |  161 +++++++++++++++++++++++++++++++++----------
 R/ExtremeBounds.R            |    8 +-
 inst/CITATION                |    4 -
 inst/ChangeLog               |    5 +
 inst/doc/ExtremeBounds.Rtex  |  139 ++++++++++++++++++++-----------------
 inst/doc/ExtremeBounds.pdf   |binary
 man/ExtremeBounds.Rd         |    2 
 man/eba.Rd                   |   27 ++++---
 man/hist.eba.Rd              |   19 +++--
 man/print.eba.Rd             |   15 ++--
 vignettes/ExtremeBounds.Rtex |  139 ++++++++++++++++++++-----------------
 vignettes/ExtremeBounds.bib  |   41 +++++++---
 vignettes/naive.pdf          |binary
 vignettes/sophisticated.pdf  |binary
 17 files changed, 384 insertions(+), 218 deletions(-)

More information about ExtremeBounds at CRAN
Permanent link

Package hyperSpec (with last version 0.98-20140220) was removed from CRAN

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

2014-02-20 0.98-20140220
2012-09-23 0.98-20120923
2012-07-14 0.98-20120713
2012-02-24 0.98-20120224
2011-09-28 0.98-20110927
2009-10-28 0.95

Permanent link
New package ucbthesis with initial version 1.0
Package: ucbthesis
Title: UC Berkeley graduate division thesis template
Version: 1.0
Author: Steven Pollack
Maintainer: Steven Pollack
Description: This package contains latex, knitr and R Markdown templates that adhere to the UC Berkeley Graduate Division's thesis guidelines. The templates are located in the inst/ directory.
Depends: R (>= 3.1.0)
Date: May 22, 2014
Imports: knitr, stringr
License: GPL-2
VignetteBuilder: knitr
LazyData: true
Packaged: 2014-05-23 00:01:26 UTC; steven
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-05-23 07:25:38

More information about ucbthesis at CRAN
Permanent link

Package RSNNS updated to version 0.4-5 with previous version 0.4-4 dated 2013-12-16

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 0.4-4 dated 2013-12-16 and 0.4-5 dated 2014-05-23

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 RSNNS-0.4-5/RSNNS/ChangeLog                                              |   17 
 RSNNS-0.4-5/RSNNS/DESCRIPTION                                            |   22 
 RSNNS-0.4-5/RSNNS/MD5                                                    |  248 +++++-----
 RSNNS-0.4-5/RSNNS/NAMESPACE                                              |  107 +---
 RSNNS-0.4-5/RSNNS/R/RSNNS-package.R                                      |   91 ++-
 RSNNS-0.4-5/RSNNS/R/SnnsRObjectFactory.R                                 |   41 -
 RSNNS-0.4-5/RSNNS/R/SnnsR_createNets.R                                   |   30 -
 RSNNS-0.4-5/RSNNS/R/SnnsR_extractNetInfo.R                               |   76 +--
 RSNNS-0.4-5/RSNNS/R/SnnsR_masked.R                                       |   10 
 RSNNS-0.4-5/RSNNS/R/SnnsR_parser.R                                       |    5 
 RSNNS-0.4-5/RSNNS/R/SnnsR_patterns.R                                     |   44 +
 RSNNS-0.4-5/RSNNS/R/SnnsR_train.R                                        |   97 +++
 RSNNS-0.4-5/RSNNS/R/SnnsR_util.R                                         |    5 
 RSNNS-0.4-5/RSNNS/R/art1.R                                               |    2 
 RSNNS-0.4-5/RSNNS/R/art2.R                                               |    3 
 RSNNS-0.4-5/RSNNS/R/artmap.R                                             |    3 
 RSNNS-0.4-5/RSNNS/R/assoz.R                                              |    3 
 RSNNS-0.4-5/RSNNS/R/dlvq.R                                               |    3 
 RSNNS-0.4-5/RSNNS/R/elman.R                                              |   37 -
 RSNNS-0.4-5/RSNNS/R/jordan.R                                             |   69 +-
 RSNNS-0.4-5/RSNNS/R/mlp.R                                                |   89 +--
 RSNNS-0.4-5/RSNNS/R/normalizeData.R                                      |   15 
 RSNNS-0.4-5/RSNNS/R/rbf.R                                                |    3 
 RSNNS-0.4-5/RSNNS/R/rbfDDA.R                                             |    3 
 RSNNS-0.4-5/RSNNS/R/reg_class.R                                          |   29 -
 RSNNS-0.4-5/RSNNS/R/rsnns.R                                              |   32 -
 RSNNS-0.4-5/RSNNS/R/som.R                                                |    3 
 RSNNS-0.4-5/RSNNS/demo/00Index                                           |    3 
 RSNNS-0.4-5/RSNNS/demo/eight_elmanSnnsR.R                                |    2 
 RSNNS-0.4-5/RSNNS/demo/iris.R                                            |   48 -
 RSNNS-0.4-5/RSNNS/demo/mlp_irisSnnsR.R                                   |  111 ++--
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 RSNNS-0.4-5/RSNNS/man/RSNNS-package.Rd                                   |  216 +++++---
 RSNNS-0.4-5/RSNNS/man/SnnsR-class.Rd                                     |   86 ++-
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 RSNNS-0.4-5/RSNNS/man/analyzeClassification.Rd                           |  107 ++--
 RSNNS-0.4-5/RSNNS/man/art1.Rd                                            |  210 +++++---
 RSNNS-0.4-5/RSNNS/man/art2.Rd                                            |  132 +++--
 RSNNS-0.4-5/RSNNS/man/artmap.Rd                                          |  195 +++++--
 RSNNS-0.4-5/RSNNS/man/assoz.Rd                                           |  113 +++-
 RSNNS-0.4-5/RSNNS/man/confusionMatrix.Rd                                 |   31 -
 RSNNS-0.4-5/RSNNS/man/decodeClassLabels.Rd                               |   54 +-
 RSNNS-0.4-5/RSNNS/man/denormalizeData.Rd                                 |   40 +
 RSNNS-0.4-5/RSNNS/man/dlvq.Rd                                            |  139 +++--
 RSNNS-0.4-5/RSNNS/man/elman.Rd                                           |  140 +++--
 RSNNS-0.4-5/RSNNS/man/encodeClassLabels.Rd                               |   37 +
 RSNNS-0.4-5/RSNNS/man/exportToSnnsNetFile.Rd                             |   20 
 RSNNS-0.4-5/RSNNS/man/extractNetInfo.Rd                                  |   34 -
 RSNNS-0.4-5/RSNNS/man/getNormParameters.Rd                               |   28 -
 RSNNS-0.4-5/RSNNS/man/getSnnsRDefine.Rd                                  |   31 -
 RSNNS-0.4-5/RSNNS/man/getSnnsRFunctionTable.Rd                           |   19 
 RSNNS-0.4-5/RSNNS/man/inputColumns.Rd                                    |   14 
 RSNNS-0.4-5/RSNNS/man/jordan.Rd                                          |  172 ++++--
 RSNNS-0.4-5/RSNNS/man/matrixToActMapList.Rd                              |   39 +
 RSNNS-0.4-5/RSNNS/man/mlp.Rd                                             |  161 ++++--
 RSNNS-0.4-5/RSNNS/man/normTrainingAndTestSet.Rd                          |   58 +-
 RSNNS-0.4-5/RSNNS/man/normalizeData.Rd                                   |   53 +-
 RSNNS-0.4-5/RSNNS/man/outputColumns.Rd                                   |   14 
 RSNNS-0.4-5/RSNNS/man/plotActMap.Rd                                      |   17 
 RSNNS-0.4-5/RSNNS/man/plotIterativeError.Rd                              |   27 -
 RSNNS-0.4-5/RSNNS/man/plotROC.Rd                                         |   25 -
 RSNNS-0.4-5/RSNNS/man/plotRegressionError.Rd                             |   23 
 RSNNS-0.4-5/RSNNS/man/predict.rsnns.Rd                                   |   22 
 RSNNS-0.4-5/RSNNS/man/print.rsnns.Rd                                     |   15 
 RSNNS-0.4-5/RSNNS/man/rbf.Rd                                             |  166 ++++--
 RSNNS-0.4-5/RSNNS/man/rbfDDA.Rd                                          |  109 ++--
 RSNNS-0.4-5/RSNNS/man/readPatFile.Rd                                     |   19 
 RSNNS-0.4-5/RSNNS/man/readResFile.Rd                                     |   18 
 RSNNS-0.4-5/RSNNS/man/resolveSnnsRDefine.Rd                              |   29 -
 RSNNS-0.4-5/RSNNS/man/rsnnsObjectFactory.Rd                              |   98 ++-
 RSNNS-0.4-5/RSNNS/man/savePatFile.Rd                                     |   20 
 RSNNS-0.4-5/RSNNS/man/setSnnsRSeedValue.Rd                               |   15 
 RSNNS-0.4-5/RSNNS/man/snnsData.Rd                                        |   22 
 RSNNS-0.4-5/RSNNS/man/som.Rd                                             |  194 ++++---
 RSNNS-0.4-5/RSNNS/man/splitForTrainingAndTest.Rd                         |   40 +
 RSNNS-0.4-5/RSNNS/man/summary.rsnns.Rd                                   |   38 +
 RSNNS-0.4-5/RSNNS/man/toNumericClassLabels.Rd                            |   21 
 RSNNS-0.4-5/RSNNS/man/train.Rd                                           |   51 +-
 RSNNS-0.4-5/RSNNS/man/vectorToActMap.Rd                                  |   36 +
 RSNNS-0.4-5/RSNNS/man/weightMatrix.Rd                                    |   26 -
 RSNNS-0.4-5/RSNNS/src/SnnsCLib.cpp                                       |   23 
 RSNNS-0.4-5/RSNNS/src/SnnsCLib.h                                         |    3 
 RSNNS-0.4-5/RSNNS/src/SnnsCLibWrapper.cpp                                |  100 +++-
 RSNNS-0.4-5/RSNNS/src/bn_JordElm.cpp                                     |    1 
 RSNNS-0.4-5/RSNNS/src/bn_art1.cpp                                        |    2 
 RSNNS-0.4-5/RSNNS/src/bn_art2.cpp                                        |    1 
 RSNNS-0.4-5/RSNNS/src/bn_artmap.cpp                                      |    1 
 RSNNS-0.4-5/RSNNS/src/bn_assoz.cpp                                       |    2 
 RSNNS-0.4-5/RSNNS/src/bn_kohonen.cpp                                     |    1 
 RSNNS-0.4-5/RSNNS/src/cc_mac.h                                           |    1 
 RSNNS-0.4-5/RSNNS/src/init_f.cpp                                         |    3 
 RSNNS-0.4-5/RSNNS/src/kr_io.cpp                                          |  186 ++++---
 RSNNS-0.4-5/RSNNS/src/kr_pat_parse.cpp                                   |    8 
 RSNNS-0.4-5/RSNNS/src/tacoma_learn.cpp                                   |    4 
 RSNNS-0.4-5/RSNNS/tests/testAllDemos.R                                   |    2 
 153 files changed, 3242 insertions(+), 1758 deletions(-)

More information about RSNNS at CRAN
Permanent link

New package rainfreq with initial version 0.1
Package: rainfreq
Title: Rainfall Frequency (Design Storm) Estimates from the US National Weather Service
Description: Estimates of rainfall at desired frequency (e.g., 1% annual chance or 100-year return period) and desired duration (e.g., 24-hour duration) are often required in the design of dams and other hydraulic structures, catastrophe risk modeling, environmental planning and management. One major source of such estimates for the USA is the NOAA National Weather Service's (NWS) division of Hydrometeorological Design Studies Center (HDSC). Raw data from NWS-HDSC is available at 1-km resolution and comes as a huge number of GIS files. This package provides functionality to easily access and analyze the 1-km GIS files provided by NWS' PF Data Server for the entire USA. This package also comes with datasets on record point rainfall measurements provided by NWS-HDSC.
Version: 0.1
Author: Gopi Goteti
Maintainer: Gopi Goteti
Depends: R (>= 3.0.2)
Imports: RCurl, SDMTools
Suggests: raster, maps
License: GPL (>= 2)
LazyData: true
Collate: 'data.r' 'extract_freq.r'
Packaged: 2014-05-22 21:42:56 UTC; GGoteti
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-05-23 07:24:57

More information about rainfreq at CRAN
Permanent link

Package OrgMassSpecR updated to version 0.4-4 with previous version 0.4-3 dated 2014-03-30

Title: Organic Mass Spectrometry
Description: Organic/biological mass spectrometry data analysis.
Author: Nathan G. Dodder, with code contributions from Katharine M. Mullen.
Maintainer: Nathan Dodder

Diff between OrgMassSpecR versions 0.4-3 dated 2014-03-30 and 0.4-4 dated 2014-05-23

 DESCRIPTION               |   12 ++++++------
 MD5                       |   10 +++++-----
 R/ConvertPeptide.R        |    2 ++
 build/vignette.rds        |binary
 data/example.sequence.rda |binary
 inst/NEWS.Rd              |   10 ++++++++++
 6 files changed, 23 insertions(+), 11 deletions(-)

More information about OrgMassSpecR at CRAN
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