Mon, 16 Dec 2013

Package RSNNS updated to version 0.4-4 with previous version 0.4-3 dated 2012-01-10

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 0.4-3 dated 2012-01-10 and 0.4-4 dated 2013-12-16

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Package ncvreg updated to version 2.7-0 with previous version 2.6-0 dated 2013-10-03

Title: Regularization paths for SCAD- and MCP-penalized regression models
Description: Efficient algorithms for fitting regularization paths for linear or logistic regression models penalized by MCP or SCAD, with optional additional L2 penalty ("Mnet").
Author: Patrick Breheny
Maintainer: Patrick Breheny

Diff between ncvreg versions 2.6-0 dated 2013-10-03 and 2.7-0 dated 2013-12-16

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Package bbefkr updated to version 3.0 with previous version 2.0 dated 2013-11-24

Title: Bayesian bandwidth estimation for the functional kernel regression with unknown error density
Description: Estimate optimal bandwidths for the regression mean function approximated by the functional Nadaraya-Watson estimator and the error density approximated by a kernel density of residuals simultaneously in a scalar-on-function regression
Author: Han Lin Shang
Maintainer: Han Lin Shang

Diff between bbefkr versions 2.0 dated 2013-11-24 and 3.0 dated 2013-12-16

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Package pbdDMAT updated to version 0.2-3 with previous version 0.2-2 dated 2013-07-08

Title: Programming with Big Data -- Distributed Matrix Methods
Description: pbdDMAT contains high level S3 and S4 methods for creating, modifying, and performing computations with dense, distributed matrices. This includes a new class, 'ddmatrix', for storing all of the distributed data details. Computation is handled mostly by routines from the pbdBASE package.
Author: Drew Schmidt [aut, cre], Wei-Chen Chen [aut], George Ostrouchov [aut], Pragneshkumar Patel [aut], R Core team [ctb] (some wrappers taken from the base and stats packages)
Maintainer: Drew Schmidt

Diff between pbdDMAT versions 0.2-2 dated 2013-07-08 and 0.2-3 dated 2013-12-16

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Package archetypes updated to version 2.1-2 with previous version 2.1-0 dated 2012-06-13

Title: Archetypal Analysis
Description: The main function archetypes implements a framework for archetypal analysis supporting arbitrary problem solving mechanisms for the different conceptual parts of the algorithm.
Author: Manuel J. A. Eugster [aut, cre], Friedrich Leisch [aut]
Maintainer: Manuel J. A. Eugster

Diff between archetypes versions 2.1-0 dated 2012-06-13 and 2.1-2 dated 2013-12-16

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Package postgwas (with last version 1.11) was removed from CRAN

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

2013-04-27 1.11
2013-04-26 1.10
2012-11-11 1.02
2012-09-12 1.01
2012-09-11 1.0

Permanent link
Package gmvalid (with last version 1.23) was removed from CRAN

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

2012-10-18 1.23

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Package rlandscape (with last version 1.0) was removed from CRAN

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

2012-09-11 1.0

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Package transmission (with last version 0.1) was removed from CRAN

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

2012-11-05 0.1

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

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

2012-10-18 1.2
2012-06-06 1.0

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New package simone with initial version 1.0-2
Package: simone
Version: 1.0-2
Date: 2013-12-16
Title: Statistical Inference for MOdular NEtworks (SIMoNe)
Author: Julien Chiquet , Gilles Grasseau , Camille Charbonnier , Christophe Ambroise .
Maintainer: Julien Chiquet
Depends: R (>= 2.7), mixer
Description: The R package simone implements the inference of co-expression networks based on partial correlation coefficients from either steady-state or time-course transcriptomic data. Note that with both type of data this package can deal with samples collected in different experimental conditions and therefore not identically distributed. In this particular case, multiple but related networks are inferred on one simone run.
License: GPL (>= 2)
URL: http://stat.genopole.cnrs.fr/software/simone
Encoding: UTF-8
Packaged: 2013-12-16 13:24:27 UTC; jchiquet
Repository: CRAN
Date/Publication: 2013-12-16 17:17:32
NeedsCompilation: yes

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New package RobRSVD with initial version 1.0
Package: RobRSVD
Type: Package
Title: Robust Regularized Singular Value Decomposition
Version: 1.0
Date: 2013-12-15
Author: Lingsong Zhang and Chao Pan
Maintainer: Lingsong Zhang
Description: This package provides the function to calculate SVD, regularized SVD, robust SVD and robust regularized SVD method. The robust SVD methods use alternating iteratively reweighted least squares methods. The regularized SVD uses generalized cross validation to choose the optimal smoothing parameters.
License: GPL
Packaged: 2013-12-16 15:55:43 UTC; lingsong
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2013-12-16 17:46:34

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Package AMORE updated to version 0.2-13 with previous version 0.2-12 dated 2012-07-02

Title: A MORE flexible neural network package
Description: This package was born to release the TAO robust neural network algorithm to the R users. It has grown and I think it can be of interest for the users wanting to implement their own training algorithms as well as for those others whose needs lye only in the "user space".
Author: Manuel Castejón Limas, Joaquín B. Ordieres Meré, Ana González Marcos, Francisco Javier Martínez de Pisón Ascacibar, Alpha V. Pernía Espinoza, Fernando Alba Elías
Maintainer: Manuel Castejón Limas

Diff between AMORE versions 0.2-12 dated 2012-07-02 and 0.2-13 dated 2013-12-16

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Package planar updated to version 1.5 with previous version 1.2.4.1 dated 2013-11-09

Title: Multilayer optics
Description: Solves the electromagnetic problem of reflection and transmission of a plane wave or a Gaussian beam, at a multilayer planar interface. Also computed are the decay rates and emission profile for a dipolar emitter near a multilayer structure.
Author: Baptiste Auguie [aut, cre] (Some functions ported from the original Matlab SPLAC code by E.C. Le Ru and P. G. Etchegoin (see Refs.))
Maintainer: Baptiste Auguie

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New package Metatron with initial version 0.1-0
Package: Metatron
Version: 0.1-0
Date: 2013-12-16
Title: Meta-analysis for Classification Data and Correction to Imperfect Reference
Author: Huiling Huang
Maintainer: Huiling Huang
Depends: R (>= 2.15.0), lme4, mpt, Matrix
Description: This package allows doing meta-analysis for primary studies with classification outcomes in order to evaluate systematically the accuracies of classifiers, namely, the diagnostic tests. It provides functions to fit the bivariate model of Reitsma et al.(2005). Moreover, if the reference employed in the classification process isn't a gold standard, its deficit can be detected and its influence to the underestimation of the diagnostic test's accuracy can be corrected, as described in Botella et al.(2013).
License: GPL (>= 2)
Packaged: 2013-12-16 14:15:18 UTC; Lenovo
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2013-12-16 17:01:40

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Package GWmodel updated to version 1.2-2 with previous version 1.2-1 dated 2013-08-15

Title: Geographically weighted models
Description: Functions for computing geographically weighted models
Author: Binbin Lu, Paul Harris, Martin Charlton, Chris Brunsdon, Tomoki Nakaya, Isabella Gollini
Maintainer: Binbin Lu

Diff between GWmodel versions 1.2-1 dated 2013-08-15 and 1.2-2 dated 2013-12-16

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Package fda.usc updated to version 1.1.0 with previous version 1.0.5 dated 2013-07-24

Title: Functional Data Analysis and Utilities for Statistical Computing (fda.usc)
Description: The R package fda.usc carries out exploratory and descriptive analysis of functional data such as depth measurements or functional atypical curves detection, functions to compute functional regression models with a scalar response, supervised and unsupervised classification methods and functional analysis of variance.
Author: Manuel Febrero Bande [aut], Manuel Oviedo de la Fuente [aut, cre], Pedro Galeano [ctb], Alicia Nieto [ctb], Eduardo Garcia-Portugues [ctb]
Maintainer: Manuel Oviedo de la Fuente

Diff between fda.usc versions 1.0.5 dated 2013-07-24 and 1.1.0 dated 2013-12-16

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Package nsRFA updated to version 0.7-11 with previous version 0.7-10 dated 2013-02-13

Title: Non-supervised Regional Frequency Analysis
Description: A collection of statistical tools for objective (non-supervised) applications of the Regional Frequency Analysis methods in hydrology. The package refers to the index-value method and, more precisely, helps the hydrologist to: (1) regionalize the index-value; (2) form homogeneous regions with similar growth curves; (3) fit distribution functions to the empirical regional growth curves.
Author: Alberto Viglione [aut, cre], Jonathan R. M. Hosking [ctb], Francesco Laio [ctb], Alan Miller [ctb]
Maintainer: Alberto Viglione

Diff between nsRFA versions 0.7-10 dated 2013-02-13 and 0.7-11 dated 2013-12-16

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New package bilan with initial version 2013.12
Package: bilan
Type: Package
Title: Bilan water balance model
Version: 2013.12
Date: 2013.12
Author: T. G. Masaryk Water Research Institute, p.r.i.: Ladislav Kasparek, Martin Hanel, Stanislav Horacek, Petr Maca, Adam Vizina
Maintainer: Stanislav Horacek
Description: The input data into the model are daily or monthly series of basin average precipitation and air temperature. The structure of the model is formed by a system of relationships describing basic principles of water balance on ground, in the zone of aeration, including the effect of vegetation cover, and in the saturated zone. Air temperature is used as an indicator of energy conditions, which affect significantly the water balance components, in particular the development and melting of snow cover. The potential evapotranspiration is estimated either by a simple radiation -based method, which considers temperature, day of the year and latitude of the basin or by empirical relationships considering vegetation zone and relative humidity.
License: GPL (>= 2)
LazyLoad: yes
Depends: Rcpp (>= 0.9.10)
LinkingTo: Rcpp
SystemRequirements: GNU make
Encoding: UTF-8
Classification/ACM: J.2
Collate: 'bilan_optim.r' 'bilan.r' 'bilan_system.r'
Packaged: 2013-12-16 11:57:46 UTC; standa
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2013-12-16 13:39:48

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Package RProtoBuf updated to version 0.3.2 with previous version 0.3.1 dated 2013-09-15

Title: R Interface to the Protocol Buffers API
Description: Protocol Buffers are a way of encoding structured data in an efficient yet extensible format. Google uses Protocol Buffers for almost all of its internal RPC protocols and file formats.
Author: Romain Francois, Dirk Eddelbuettel and Murray Stokely
Maintainer: Dirk Eddelbuettel

Diff between RProtoBuf versions 0.3.1 dated 2013-09-15 and 0.3.2 dated 2013-12-16

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Package kknn updated to version 1.2-3 with previous version 1.2-2 dated 2013-03-13

Title: Weighted k-Nearest Neighbors
Description: Weighted k-Nearest Neighbors Classification, Regression and Clustering
Author: Klaus Schliep & Klaus Hechenbichler
Maintainer: Klaus Schliep

Diff between kknn versions 1.2-2 dated 2013-03-13 and 1.2-3 dated 2013-12-16

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Package highlight updated to version 0.4.4 with previous version 0.4.3 dated 2013-06-20

Title: Syntax highlighter
Description: Syntax highlighter for R code based on the results of the R parser. Rendering in HTML and latex markup. Custom Sweave driver performing syntax highlighting of R code chunks
Author: Romain Francois [aut, cre], Andre Simon [ctb]
Maintainer: Romain Francois

Diff between highlight versions 0.4.3 dated 2013-06-20 and 0.4.4 dated 2013-12-16

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New package rgabriel with initial version 0.4
Package: rgabriel
Type: Package
Title: Gabriel Multiple Comparison Test and Plot the Confidence Interval on Barplot
Version: 0.4
Date: 2013-12-15
Author: Miao YU
Maintainer: Miao YU
Description: This package was created to analyze multi-level one-way experimental designs. It is designed to handle vectorized observation and factor data where there are unequal sample sizes and population variance homogeneity can not be assumed. To conduct the Gabriel test, create two vectors: one for your observations and one for the factor level of each observation. The function, rgabriel, conduct the test and save the output as a vector to input into the gabriel.plot function, which produces a confidence interval plot for Multiple Comparison.
URL: https://github.com/yufree/rgabriel
License: GPL (>= 2)
Packaged: 2013-12-15 09:45:25 UTC; yufree
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2013-12-16 07:43:56

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Package logcondens updated to version 2.1.0 with previous version 2.0.9 dated 2012-10-15

Title: Estimate a Log-Concave Probability Density from iid Observations
Description: Given independent and identically distributed observations X(1), ..., X(n), this package allows to compute the maximum likelihood estimator (MLE) of a density as well as a smoothed version of it under the assumption that the density is log-concave, see Rufibach (2007) and Duembgen and Rufibach (2009). The main function of the package is 'logConDens' that allows computation of the log-concave MLE and its smoothed version. In addition, we provide functions to compute (1) the value of the density and distribution function estimates (MLE and smoothed) at a given point (2) the characterizing functions of the estimator, (3) to sample from the estimated distribution, (5) to compute a two-sample permutation test based on log-concave densities, (6) the ROC curve based on log-concave estimates within cases and controls, including confidence intervals for given values of false positive fractions (7) computation of a confidence interval for the value of the true density at a fixed point. Finally, three datasets that have been used to illustrate log-concave density estimation are made available.
Author: Kaspar Rufibach and Lutz Duembgen
Maintainer: Kaspar Rufibach

Diff between logcondens versions 2.0.9 dated 2012-10-15 and 2.1.0 dated 2013-12-16

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Package lawstat updated to version 2.4.1 with previous version 2.4 dated 2013-03-04

Title: An R package for biostatistics, public policy, and law
Description: An R software package on statistical tests widely utilized in biostatistics, public policy and law. Along with the well known tests for equality of means and variances, randomness, measures of relative variability etc, the package contains new robust tests of symmetry, omnibus and directional tests of normality, and their graphical counterparts such as Robust QQ plot; a robust trend tests for variances etc. All implemented tests and methods are illustrated by simulations and real-life examples from legal statistics, economics, and biostatistics.
Author: (in alphabetical order) Joseph L. Gastwirth ; Yulia R. Gel ; W. L. Wallace Hui ; Vyacheslav Lyubchich ; Weiwen Miao ; Kimihiro Noguchi
Maintainer: Vyacheslav Lyubchich

Diff between lawstat versions 2.4 dated 2013-03-04 and 2.4.1 dated 2013-12-16

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New package glarma with initial version 1.0-2
Package: glarma
Type: Package
Title: Generalized Linear Autoregressive Moving Average Models
Version: 1.0-2
Date: 2013-11-15
Author: William T.M. Dunsmuir , Cenanning Li , and David J. Scott
Maintainer: "William T.M. Dunsmuir"
Depends: R (>= 2.3.0), MASS
Suggests: RUnit
Description: This package provides functions for estimation, testing and diagnostic checking of generalized linear autoregressive moving average (GLARMA) models for discrete valued time series with regression variables. These are a class of observation driven non-linear non-Gaussian state space models. The state vector consists of a linear regression component plus an observation driven component consisting of an autoregressive-moving average (ARMA) filter of past predictive residuals. Currently three distributions (Poisson, negative binomial and binomial) can be used for the response series. Three options (Pearson, score-type and unscaled) for the residuals in the observation driven component are available. Estimation is via maximum likelihood (conditional on initializing values for the ARMA process) optimized using Fisher scoring or Newton Raphson iterative methods. Likelihood ratio and Wald tests for the observation driven component allow testing for serial dependence in generalized linear model settings. Graphical diagnostics including model fits, autocorrelation functions and probability integral transform residuals are included in the package. Several standard data sets are included in the package.
License: GPL (>= 2)
Packaged: 2013-12-16 06:07:50 UTC; dsco036
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2013-12-16 07:43:54

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