Thu, 19 Dec 2013

Package robustloggamma updated to version 0.4-28 with previous version 0.4-22 dated 2013-04-30

Title: Robust estimation of the generalized log gamma model.
Description: Robust estimation of the generalized log gamma model is provided using Quantile Tau estimator and Weighted Likelihood estimator.
Author: Claudio Agostinelli , Alfio Marazzi , Victor Yohai and Alex Randriamiharisoa
Maintainer: Claudio Agostinelli

Diff between robustloggamma versions 0.4-22 dated 2013-04-30 and 0.4-28 dated 2013-12-19

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Package CCTpack updated to version 0.92 with previous version 0.91 dated 2013-10-25

Title: Cultural Consensus Theory applications to data
Description: A user-friendly GUI for the application of Cultural Consensus Theory (CCT) models and methods to consensus data. The models are applied using hierarchical Bayesian inference. The current package version supports binary, ordinal, and continuous data formats.
Author: Royce Anders
Maintainer: Royce Anders

Diff between CCTpack versions 0.91 dated 2013-10-25 and 0.92 dated 2013-12-19

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Package TraMineR updated to version 1.8-7 with previous version 1.8-6 dated 2013-08-26

Title: Trajectory miner: a toolbox for exploring and rendering sequence data
Description: This package is a toolbox for sequence manipulation, description, rendering and more generally the mining of sequence data in the field of social sciences. Though it is primarily intended for analyzing state or event sequences that describe life courses such as family formation histories or professional careers its features also apply to many other kinds of categorical sequence data. It accepts many different sequence representations as input and provides tools for translating sequences from one format to another. It offers several statistical functions for describing and rendering sequences, for computing distances between sequences with different metrics among which optimal matching, the longest common prefix and the longest common subsequence, and simple functions for extracting the most frequent subsequences and identifying the most discriminating ones among them. A user's guide can be found on the TraMineR web page.
Author: Alexis Gabadinho [aut, cph], Matthias Studer [aut, cph], Nicolas Muller [aut], Reto Buergin [aut], Gilbert Ritschard [aut, cre, cph]
Maintainer: Gilbert Ritschard

Diff between TraMineR versions 1.8-6 dated 2013-08-26 and 1.8-7 dated 2013-12-19

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New package tikzDevice with initial version 0.7.0
Package: tikzDevice
Type: Package
Title: R Graphics Output in LaTeX Format
Version: 0.7.0
Date: 2013-12-10
Authors@R: c(person("Charlie", "Sharpsteen", role = "aut"), person("Cameron", "Bracken", role = "aut"), person("Kirill", "Mueller", role = c("ctb", "cre"), email = "mail@kirill-mueller.de"), person("Yihui", "Xie", role = "ctb"))
URL: https://github.com/yihui/tikzDevice
BugReports: https://github.com/yihui/tikzDevice/issues
Description: The tikzDevice package provides a graphics output device for R that records plots in a LaTeX-friendly format. The device transforms plotting commands issued by R functions into LaTeX code blocks. When included in a paper typeset by LaTeX, these blocks are interpreted with the help of TikZ---a graphics package for TeX and friends written by Till Tantau. Using the tikzDevice, the text of R plots can contain LaTeX commands such as mathematical formula. The device also allows arbitrary LaTeX code to be inserted into the output stream.
License: GPL (>= 2)
Depends: R (>= 2.14.0), filehash
Suggests: testthat (>= 0.6), evaluate, stringr, ggplot2, maps
SystemRequirements: pgf (>= 2.00)
LazyLoad: yes
Roxygen: list(wrap = FALSE)
Packaged: 2013-12-19 15:01:33 UTC; muelleki
Author: Charlie Sharpsteen [aut], Cameron Bracken [aut], Kirill Mueller [ctb, cre], Yihui Xie [ctb]
Maintainer: Kirill Mueller
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2013-12-19 19:47:52

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Package Ruchardet updated to version 0.0-2 with previous version 0.0-1 dated 2013-11-25

Title: R package to detect character encoding
Description: R port of 'universalchardet', that is the encoding detector library of Mozilla.
Author: Heewon Jeon
Maintainer: Heewon Jeon

Diff between Ruchardet versions 0.0-1 dated 2013-11-25 and 0.0-2 dated 2013-12-19

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Package poweRlaw updated to version 0.20.2 with previous version 0.20.1 dated 2013-06-25

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 [aut, cre]
Maintainer: Colin Gillespie

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Package TilePlot updated to version 1.3.1 with previous version 1.3 dated 2013-08-29

Title: Characterization of functional genes in complex microbial communities using tiling DNA microarrays
Description: This package is intended for processing the output from functional gene tiling DNA microarray experiments. It produces hybridization pattern plots for each gene on the array, and statistics for each gene including mean probe intensity, median probe intensity, bright probe fraction, bright segment length dependent score, bright probe mean intensity, and bright probe median intensity. Output is generated in order of bright segment length dependent score in both a latex/eps format and tab-delimited text file. The package works in two modes: single array, and comparison of two arrays. Array comparison includes array comparison statistics: median of logarithm of one array probe divided by its counterpart on the other array, median absolute deviation of that value, and the binomial test to see whether the genes are equally abundant in both arrays.
Author: Ian Marshall
Maintainer: Ian Marshall

Diff between TilePlot versions 1.3 dated 2013-08-29 and 1.3.1 dated 2013-12-19

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Package RcppEigen updated to version 0.3.2.0.1 with previous version 0.3.2.0 dated 2013-11-13

Title: Rcpp integration for the Eigen templated linear algebra library.
Description: R and Eigen integration using Rcpp. Eigen is a C++ template library for linear algebra: matrices, vectors, numerical solvers and related algorithms. It supports dense and sparse matrices on integer, floating point and complex numbers, decompositions of such matrices, and solutions of linear systems. Its performance on many algorithms is comparable with some of the best implementations based on Lapack and level-3 BLAS. The RcppEigen package includes the header files from the Eigen C++ template library (currently version 3.2.0). Thus users do not need to install Eigen itself in order to use RcppEigen. Eigen is licensed under the GNU LGPL version 3 or later, and also under the GNU GPL version 2 or later. RcppEigen (the Rcpp bindings/bridge to Eigen) is licensed under the GNU GPL version 2 or later, as is the rest of Rcpp.
Author: Douglas Bates, Romain Francois and Dirk Eddelbuettel; the authors of Eigen for the included version of Eigen
Maintainer: Dirk Eddelbuettel

Diff between RcppEigen versions 0.3.2.0 dated 2013-11-13 and 0.3.2.0.1 dated 2013-12-19

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Package minPtest updated to version 1.7 with previous version 1.6 dated 2013-06-06

Title: Gene region-level testing procedure for SNP data, using the min P test resampling approach
Description: Package minPtest is designed for estimating a gene region-level summary for SNP data from case-control studies using a permutation-based resampling method, called min P test, allowing execution on a compute cluster or multicore computer.
Author: Stefanie Hieke
Maintainer: Stefanie Hieke

Diff between minPtest versions 1.6 dated 2013-06-06 and 1.7 dated 2013-12-19

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New package hybridEnsemble with initial version 0.1.0
Package: hybridEnsemble
Type: Package
Title: Build, deploy and evaluate a Hybrid Ensemble
Version: 0.1.0
Date: 2013-12-18
Imports: randomForest,kernelFactory,ada,rpart,ROCR,nnet,e1071,NMOF,GenSA,Rmalschains,pso,AUC,soma,genalg,reportr,nnls,quadprog,tabuSearch,glmnet
Author: Michel Ballings, Dauwe Vercamer, and Dirk Van den Poel
Maintainer: Michel Ballings
Description: This package contains functions to build and deploy an ensemble consisting of six different sub-ensembles: Bagged Logistic Regressions, Random Forest, Stochastic AdaBoost, Kernel Factory, Bagged Neural Networks, Bagged Support Vector Machines. Functions to cross-validate the Hybrid Ensemble and plot and summarize the results are also provided. There is also a function to assess the importance of the predictors.
License: GPL (>= 2)
Collate: 'auxiliary.R' 'CVhybridEnsemble.R' 'hybridEnsemble.R' 'hybridEnsembleNews.R' 'importance.hybridEnsemble.R' 'plot.CVhybridEnsemble.R' 'predict.hybridEnsemble.R' 'summary.CVhybridEnsemble.R' 'zzz.R'
Packaged: 2013-12-19 12:29:23 UTC; mballing
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2013-12-19 15:14:32

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Package Rankcluster updated to version 0.91.6 with previous version 0.91.5 dated 2013-12-05

Title: Model-based clustering for multivariate partial ranking data
Description: This package proposes a model-based clustering algorithm for ranking data. Multivariate rankings as well as partial rankings are taken into account. This algorithm is based on an extension of the Insertion Sorting Rank (ISR) model for ranking data, which is a meaningful and effective model parametrized by a position parameter (the modal ranking, quoted by mu) and a dispersion parameter (quoted by pi). The heterogeneity of the rank population is modelled by a mixture of ISR, whereas conditional independence assumption is considered for multivariate rankings.
Author: Quentin Grimonprez, Julien Jacques
Maintainer: Quentin Grimonprez

Diff between Rankcluster versions 0.91.5 dated 2013-12-05 and 0.91.6 dated 2013-12-19

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New package BBRecapture with initial version 0.1
Package: BBRecapture
Type: Package
Title: Bayesian Behavioural Capture-Recapture Models
Version: 0.1
Date: 2013-12-18
Author: Luca Tardella and Danilo Alunni Fegatelli
Maintainer: Danilo Alunni Fegatelli
Depends: R (>= 3.0.2), HI, locfit, lme4, secr
Description: Model fitting of flexible behavioural recapture models based on conditional probability reparameterization and meaningful partial capture history quantification also referred to as meaningful behavioural covariate
License: GPL-2
Packaged: 2013-12-18 15:39:12 UTC; luca
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2013-12-19 12:22:14

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Package protr updated to version 0.2-0 with previous version 0.1-0 dated 2012-11-18

Title: Protein Sequence Descriptor Calculation and Similarity Computation with R
Description: The protr package focus on offering a unique and comprehensive toolkit for protein sequence descriptor calculation and similarity computation. The descriptors included in the protr package are extensively utilized in Bioinformatics and Chemogenomics research. The qualitative descriptors listed in protr include Amino Acid Composition (Amino Acid Composition/Dipeptide Composition/Tripeptide Composition) descriptor, Autocorrelation (Normalized Moreau-Broto Autocorrelation/Moran Autocorrelation/Geary Autocorrelation) descriptor, CTD (Composition/Transition/Distribution) descriptor, Conjoint Traid descriptor, Quasi-sequence Order (Sequence Order Coupling Number/Quasi-sequence Order Descriptors) descriptor and Pseudo Amino Acid Composition (Pseudo Amino Acid Composition/Amphiphilic Pseudo Amino Acid Composition) descriptor. The quantitative descriptors, for Proteochemometric (PCM) Modeling, includes the Generalized Scales-Based Descriptors derived by Principal Components Analysis, Generalized Scales-Based Descriptors derived by AA-Properties (AAindex), Generalized Scales-Based Descriptors derived by 20+ classes of 2D and 3D Molecular Descriptors (Topological, WHIM, VHSE, etc.), Generalized Scales-Based Descriptors derived by Factor Analysis, Generalized Scales-Based Descriptors derived by Multidimensional Scaling, and Generalized BLOSUM/PAM Matrix-Derived Descriptors. The protr package also integrates the functionality of parallellized similarity computation derived by protein sequence alignment and Gene Ontology (GO) semantic similarity measures between a list of protein sequences / GO terms / Entrez Gene IDs. ProtrWeb, the web service built on protr, is located at: http://cbdd.csu.edu.cn:8080/protrweb/ . The protr package is developed by Computational Biology and Drug Design (CBDD) Group, Central South University.
Author: Nan Xiao , Qingsong Xu , Dongsheng Cao
Maintainer: Nan Xiao

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Package minqa updated to version 1.2.2 with previous version 1.2.1 dated 2012-05-12

Title: Derivative-free optimization algorithms by quadratic approximation
Description: Derivative-free optimization by quadratic approximation based on an interface to Fortran implementations by M. J. D. Powell.
Author: Douglas Bates, Katharine M. Mullen, John C. Nash, Ravi Varadhan
Maintainer: Katharine M. Mullen

Diff between minqa versions 1.2.1 dated 2012-05-12 and 1.2.2 dated 2013-12-19

 DESCRIPTION |    9 +++++----
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Package SNPRelate updated to version 0.9.19 with previous version 0.9.18 dated 2013-09-29

Title: Parallel Computing Toolset for Genome-Wide Association Studies (GWAS)
Description: A High-performance computing toolset for relatedness and principal component analysis of SNP data
Author: Xiuwen Zheng
Maintainer: Xiuwen Zheng

Diff between SNPRelate versions 0.9.18 dated 2013-09-29 and 0.9.19 dated 2013-12-19

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New package DSsim with initial version 1.0.0
Package: DSsim
Depends: shapefiles, splancs, mrds, mgcv, methods
Suggests: testthat, parallel
Type: Package
Title: Distance Sampling Simulations
Version: 1.0.0
Date: 2013-12-18
LazyLoad: yes
Author: Laura Marshall
Maintainer: Laura Marshall
Description: Performs distance sampling simulations. It repeatedly generates instances of a user defined population within a given survey region, generates realisations of a survey design (currently these must be pre-generated using Distance software) and simulates the detection process. The data are then analysed so that the results can be compared for accuracy and precision across all replications. This will allow users to select survey designs which will give them the best accuracy and precision given their expectations about population distribution. Any uncertainty in population distribution or population parameters can be included by running the different survey designs for a number of different population descriptions. An example simulation can be found in the help file for make.simulation.
License: GPL (>= 2)
Collate: 'generic.functions.R' 'Region.R' 'Detectability.R' 'Population.R' 'calc.poss.detect.dists.R' 'check.intersection.R' 'Class.Constructors.R' 'DDF.Data.R' 'Single.Obs.DDF.Data.R' 'DDF.Analysis.R' 'Density.R' 'DS.Analysis.R' 'DSM.Analysis.R' 'hn.detect.R' 'hr.detect.R' 'in.polygons.R' 'Line.Transect.R' 'Survey.Design.R' 'LT.Design.R' 'LT.EqSpace.ZZ.Design.R' 'LT.EqAngle.ZZ.Design.R' 'Survey.R' 'LT.Survey.R' 'Obs.Table.R' 'Population.Description.R' 'PT.Design.R' 'Region.Table.R' 'rename.duplicates.R' 'Sample.Table.R' 'simulate.detections.R' 'Single.Obs.LT.Survey.R' 'LT.Survey.Results.R' 'Simulation.R' 'coords.from.shapefile.R' 'is.gap.R' 'store.ddf.results.R' 'store.dht.results.R' 'add.summary.results.R' 'get.surface.constant.R' 'get.ave.density.R' 'get.surface.gam.R' 'single.simulation.loop.R' 'accumulate.PP.results.R' 'Simulation.Summary.R' 'generate.pop.D.R' 'generate.pop.N.R' 'calc.area.R' 'get.bound.box.R' 'get.shapefile.names.R' 'get.sampler.info.R' 'LT.Systematic.Design.R' 'LT.Random.Design.R' 'LT.User.Specified.Design.R' 'display.glossary.R'
Packaged: 2013-12-19 03:55:02 UTC; laura
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2013-12-19 06:57:10

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New package drgee with initial version 1.0
Package: drgee
Type: Package
Title: Doubly Robust Generalized Estimating Equations
Version: 1.0
Date: 2013-12-18
Author: Johan Zetterqvist , Arvid Sjölander with contributions from Alexander Ploner.
Maintainer: Johan Zetterqvist
Description: The package provides functions to estimate parameters quantifying an association between an exposure and an outcome in a generalized estimating equations model in the presence of nuisance variables. Three methods are implemented: outcome nuisance model based estimation where a model for the association between the nuisance factors and the outcome is assumed, exposure nuisance model based estimation where a model for the association between the nuisance factors and the exposure is assumed and doubly robust estimation where both models are used. In doubly robust estimation, the estimates will be consistent when at least one of the models are correctly specified, not necessarily both.
Depends: R (>= 3.0.0)
Imports: stats, nleqslv
License: GPL-2 | GPL-3
NeedsCompilation: no
Encoding: UTF-8
Packaged: 2013-12-19 04:59:10 UTC; johan
Repository: CRAN
Date/Publication: 2013-12-19 06:57:18

More information about drgee at CRAN
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