Thu, 15 Oct 2015

Package SoyNAM updated to version 1.1 with previous version 1.0 dated 2015-07-29

Title: Soybean Nested Association Mapping Dataset
Description: Genomic and multi-environmental soybean data. Soybean Nested Association Mapping (SoyNAM) project dataset funded by the United Soybean Board (USB), pre-formatted for general analysis and genome-wide association analysis using the NAM package.
Author: Alencar Xavier, William Beavis, James Specht, Brian Diers, William Muir, Katy Rainey.
Maintainer: Alencar Xavier <xaviera@purdue.edu>

Diff between SoyNAM versions 1.0 dated 2015-07-29 and 1.1 dated 2015-10-15

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Package fields updated to version 8.3-5 with previous version 8.2-1 dated 2015-02-28

Title: Tools for Spatial Data
Description: For curve, surface and function fitting with an emphasis on splines, spatial data and spatial statistics. The major methods include cubic, and thin plate splines, Kriging and compact covariances for large data sets. The splines and Kriging methods are supporting by functions that can determine the smoothing parameter (nugget and sill variance) by cross validation and also by restricted maximum likelihood. For Kriging there is an easy to function that also estimates the correlation scale (range). A major feature is that any covariance function implemented in R and following a simple fields format can be used for spatial prediction. There are also many useful functions for plotting and working with spatial data as images. This package also contains an implementation of sparse matrix methods for large spatial data sets and currently requires the sparse matrix (spam) package. Use help(fields) to get started and for an overview. The fields source code is deliberately commented and provides useful explanations of numerical details in addition to the manual pages. The commented source code can be viewed by expanding the source code .tar.gz file and looking in R subdirectory.
Author: Douglas Nychka [aut, cre], Reinhard Furrer [aut], John Paige [aut], Stephan Sain [aut]
Maintainer: Douglas Nychka <nychka@ucar.edu>

Diff between fields versions 8.2-1 dated 2015-02-28 and 8.3-5 dated 2015-10-15

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New package svs with initial version 1.0.1
Package: svs
Title: Tools for Semantic Vector Spaces
Version: 1.0.1
Authors@R: person("Koen", "Plevoets", email="koen.plevoets@ugent.be", role=c("aut", "cre"))
Description: Various tools for semantic vector spaces, such as correspondence analysis (simple, multiple and discriminant), latent semantic analysis, probabilistic latent semantic analysis, non-negative matrix factorization and EM clustering. Furthermore, there are specialized distance measures, plotting functions and some helper functions.
Depends: R (>= 3.1.0), graphics, stats
Imports: gtools
Suggests: MASS, pvclust
License: GPL-3
LazyData: true
Date: 2015-10-15
Packaged: 2015-10-15 19:57:50 UTC; kplevoet
Author: Koen Plevoets [aut, cre]
Maintainer: Koen Plevoets <koen.plevoets@ugent.be>
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2015-10-16 00:56:28

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Package sprm updated to version 1.2 with previous version 1.1 dated 2014-12-10

Title: Sparse and Non-Sparse Partial Robust M Regression and Classification
Description: Robust dimension reduction methods for regression and discriminant analysis are implemented that yield estimates with a partial least squares alike interpretability. Partial robust M regression (PRM) is robust to both vertical outliers and leverage points. Sparse partial robust M regression (SPRM) is a related robust method with sparse coefficient estimate, and therefore with intrinsic variable selection. For bianry classification related discriminant methods are PRM-DA and SPRM-DA.
Author: Sven Serneels, BASF Corp and Irene Hoffmann
Maintainer: Irene Hoffmann <irene.hoffmann@tuwien.ac.at>

Diff between sprm versions 1.1 dated 2014-12-10 and 1.2 dated 2015-10-15

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New package keyplayer with initial version 1.0.1
Package: keyplayer
Type: Package
Title: Locating Key Players in Social Networks
Version: 1.0.1
Date: 2015-10-15
Author: Weihua An; Yu-Hsin Liu
Maintainer: Yu-Hsin Liu <yuhsliu@indiana.edu>
Description: Provides group centrality measures and identifies the most central group of players in a network.
Imports: sna, matpow
License: GPL-3
NeedsCompilation: no
Packaged: 2015-10-15 20:05:03 UTC; Ugene
Repository: CRAN
Date/Publication: 2015-10-16 01:07:11

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Package CHsharp updated to version 0.4 with previous version 0.3 dated 2012-11-05

Title: Choi and Hall Style Data Sharpening
Description: Functions for use in perturbing data prior to use of nonparametric smoothers and clustering.
Author: Douglas Woolford and John Braun
Maintainer: John Braun <braun@stats.uwo.ca>

Diff between CHsharp versions 0.3 dated 2012-11-05 and 0.4 dated 2015-10-15

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New package easyVerification with initial version 0.1.8
Package: easyVerification
Title: Ensemble Forecast Verification for Large Datasets
Version: 0.1.8
Date: 2015-10-15
Authors@R: c(person("Jonas", "Bhend", email = "jonas.bhend@meteoswiss.ch", role = c("aut", "cre")), person("Jacopo", "Ripoldi", role="ctb"), person("Claudia", "Mignani", role="ctb"), person("Irina", "Mahlstein", role="ctb"), person("Rebecca", "Hiller", role="ctb"), person("Christoph", "Spirig", role="ctb"), person("Mark", "Liniger", role="ctb"), person("Andreas", "Weigel", role="ctb"), person("Joaqu\'in", "Bedia Jimenez", role='ctb'), person("Matteo", "De Felice", role='ctb'))
Description: Set of tools to simplify application of atomic forecast verification metrics for (comparative) verification of ensemble forecasts to large datasets. The forecast metrics are imported from the 'SpecsVerification' package, and additional forecast metrics are provided with this package. Alternatively, new user-defined forecast scores can be implemented using the example scores provided and applied using the functionality of this package.
Depends: R (>= 3.0), SpecsVerification, stats, utils
Imports: RCurl, pbapply
Suggests: testthat, knitr, parallel, R.rsp
License: GPL-3
Copyright: MeteoSwiss
LazyData: true
URL: http://www.meteoswiss.ch
BugReports: https://github.com/MeteoSwiss/easyVerification/issues
VignetteBuilder: knitr, R.rsp
Packaged: 2015-10-15 14:15:00 UTC; bhj
Author: Jonas Bhend [aut, cre], Jacopo Ripoldi [ctb], Claudia Mignani [ctb], Irina Mahlstein [ctb], Rebecca Hiller [ctb], Christoph Spirig [ctb], Mark Liniger [ctb], Andreas Weigel [ctb], Joaqu'in Bedia Jimenez [ctb], Matteo De Felice [ctb]
Maintainer: Jonas Bhend <jonas.bhend@meteoswiss.ch>
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2015-10-15 18:09:15

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Package wpp2015 updated to version 1.0-1 with previous version 1.0-0 dated 2015-08-08

Title: World Population Prospects 2015
Description: Provides data from the United Nation's World Population Prospects 2015.
Author: Population Division, Department of Economic and Social Affairs, United Nations.
Maintainer: Hana Sevcikova <hanas@uw.edu>

Diff between wpp2015 versions 1.0-0 dated 2015-08-08 and 1.0-1 dated 2015-10-15

 ChangeLog              |    4 
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Package VSURF updated to version 1.0.2 with previous version 1.0.1 dated 2015-10-12

Title: Variable Selection Using Random Forests
Description: Three steps variable selection procedure based on random forests. Initially developed to handle high dimensional data (for which number of variables largely exceeds number of observations), the package is very versatile and can treat most dimensions of data, for regression and supervised classification problems. First step is dedicated to eliminate irrelevant variables from the dataset. Second step aims to select all variables related to the response for interpretation purpose. Third step refines the selection by eliminating redundancy in the set of variables selected by the second step, for prediction purpose.
Author: Robin Genuer [aut, cre], Jean-Michel Poggi [aut], Christine Tuleau-Malot [aut]
Maintainer: Robin Genuer <Robin.Genuer@isped.u-bordeaux2.fr>

Diff between VSURF versions 1.0.1 dated 2015-10-12 and 1.0.2 dated 2015-10-15

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New package TMB with initial version 1.6.1
Package: TMB
Type: Package
Title: Template Model Builder: A General Random Effect Tool Inspired by ADMB
Version: 1.6.1
Date: 2015-10-14
Author: Kasper Kristensen
Maintainer: Kasper Kristensen <kaskr@imm.dtu.dk>
Description: With this tool, a user should be able to quickly implement complex random effect models through simple C++ templates. The package combines CppAD (C++ automatic differentiation), Eigen (templated matrix-vector library) and CHOLMOD (sparse matrix routines available from R) to obtain an efficient implementation of the applied Laplace approximation with exact derivatives. Key features are: Automatic sparseness detection, parallelism through BLAS and parallel user templates.
License: GPL-2
URL: http://tmb-project.org
BugReports: https://github.com/kaskr/adcomp/issues
Depends: R (>= 3.0.0)
Imports: graphics, methods, stats, utils, Matrix (>= 1.0-12)
LinkingTo: Matrix
Suggests: numDeriv, parallel, MASS
NeedsCompilation: yes
Packaged: 2015-10-15 09:03:07 UTC; kaskr
Repository: CRAN
Date/Publication: 2015-10-15 15:18:10

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Package TAM updated to version 1.14-0 with previous version 1.13-0 dated 2015-08-29

Title: Test Analysis Modules
Description: Includes marginal and joint maximum likelihood estimation of uni- and multidimensional item response models (Rasch, 2PL, 3PL, Generalized Partial Credit, Multi Facets, Nominal Item Response, Structured Latent Class Analysis, Mixture Distribution IRT Models, Located Latent Class Models). Latent regression models and plausible value imputation are also supported.
Author: Thomas Kiefer [aut], Alexander Robitzsch [aut, cre], Margaret Wu [aut]
Maintainer: Alexander Robitzsch <a.robitzsch@bifie.at>

Diff between TAM versions 1.13-0 dated 2015-08-29 and 1.14-0 dated 2015-10-15

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Package rags2ridges updated to version 2.0 with previous version 1.4 dated 2014-11-27

Title: Ridge Estimation of Precision Matrices from High-Dimensional Data
Description: Proper L2-penalized ML estimators for the precision matrix as well as supporting functions to employ these estimators in a graphical modeling setting.
Author: Carel F.W. Peeters [cre, aut], Anders Ellern Bilgrau [aut], Wessel N. van Wieringen [aut]
Maintainer: Carel F.W. Peeters <cf.peeters@vumc.nl>

Diff between rags2ridges versions 1.4 dated 2014-11-27 and 2.0 dated 2015-10-15

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Package quanteda updated to version 0.8.6-0 with previous version 0.8.4-2 dated 2015-09-09

Title: Quantitative Analysis of Textual Data
Description: A fast, flexible toolset for for the management, processing, and quantitative analysis of textual data in R.
Author: Kenneth Benoit [aut, cre], Paul Nulty [aut], Pablo Barberá [ctb], Kohei Watanabe [ctb], Benjamin Lauderdale [ctb]
Maintainer: Kenneth Benoit <kbenoit@lse.ac.uk>

Diff between quanteda versions 0.8.4-2 dated 2015-09-09 and 0.8.6-0 dated 2015-10-15

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Package hamlet updated to version 0.9.4-2 with previous version 0.9.4 dated 2015-08-04

Title: Hierarchical Optimal Matching and Machine Learning Toolbox
Description: Various functions and algorithms are provided here for solving optimal matching tasks in the context of preclinical cancer studies. Further, various helper and plotting functions are provided for unsupervised and supervised machine learning as well as longitudinal mixed-effects modeling of tumor growth response patterns.
Author: Teemu Daniel Laajala <teelaa@utu.fi>
Maintainer: Teemu Daniel Laajala <teelaa@utu.fi>

Diff between hamlet versions 0.9.4 dated 2015-08-04 and 0.9.4-2 dated 2015-10-15

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New package DataLoader with initial version 1.2
Package: DataLoader
Title: Import Multiple File Types
Version: 1.2
Type: Package
Date: 2015-10-09
Author: Srivenkatesh Gandhi<srivenkateshg@sase.ssn.edu.in>, Kreshnaa Raam S Bethusamy <kreshnaaraamsb@sase.ssn.edu.in>
Maintainer: Srivenkatesh Gandhi <srivenkateshg@sase.ssn.edu.in>
Description: Functions to import multiple files of multiple data file types ('.xlsx', '.xls', '.csv', '.txt') from a given directory into R data frames.
Depends: readxl, plyr, tools, xlsx, rChoiceDialogs
Suggests: testthat
License: GPL (>= 2)
LazyData: TRUE
NeedsCompilation: no
Packaged: 2015-10-15 11:39:39 UTC; kresh
Repository: CRAN
Date/Publication: 2015-10-15 15:45:20

More information about DataLoader at CRAN
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Package cycleRtools updated to version 1.0.3 with previous version 1.0.2 dated 2015-10-14

Title: Tools for Cycling Data Analysis
Description: A suite of functions for analysing cycling data.
Author: Jordan Mackie [aut, cre]
Maintainer: Jordan Mackie <jmackie@protonmail.com>

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Package BIFIEsurvey updated to version 1.6-0 with previous version 1.5-0 dated 2015-10-08

Title: Tools for Survey Statistics in Educational Assessment
Description: Contains tools for survey statistics (especially in educational assessment) for datasets with replication designs (jackknife, bootstrap, replicate weights). Descriptive statistics, linear and logistic regression, path models for manifest variables with measurement error correction and two-level hierarchical regressions for weighted samples are included. Statistical inference can be conducted for multiply imputed datasets and nested multiply imputed datasets. This package is developed by BIFIE (Federal Institute for Educational Research, Innovation and Development of the Austrian School System; Salzburg, Austria).
Author: BIFIE
Maintainer: Alexander Robitzsch <a.robitzsch@bifie.at>

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Package rwirelesscom updated to version 1.4.2 with previous version 1.3 dated 2015-09-11

Title: Basic Wireless Communications Simulation
Description: A communications simulation package supporting common wireless modulation formats including BPSK, QPSK, 8-PSK, 16-PSK, 16-QAM and 64-QAM. The package includes AWGN noise generation, and raised cosine and square root raised cosine pulse shaping. It also includes convenience functions for plotting constellation diagrams, density plots, stem plots and eye diagrams. Together these functions enable the evaluation of bit error and symbol error rates, evaluation of pulse shaping and inter-symbol interference and support visualization of the respective signals and noise in a variety of formats.
Author: Alberto Gutierrez [aut, cre]
Maintainer: Alberto Gutierrez <algutier1@gmail.com>

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Package PSCBS updated to version 0.50.0 with previous version 0.45.1 dated 2015-09-17

Title: Analysis of Parent-Specific DNA Copy Numbers
Description: Segmentation of allele-specific DNA copy number data and detection of regions with abnormal copy number within each parental chromosome. Both tumor-normal paired and tumor-only analyses are supported.
Author: Henrik Bengtsson [aut, cre, cph], Pierre Neuvial [aut], Venkatraman E. Seshan [aut], Adam B. Olshen [aut], Paul T. Spellman [aut], Richard A. Olshen [aut]
Maintainer: Henrik Bengtsson <henrikb@braju.com>

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Package pixiedust updated to version 0.5.0 with previous version 0.1.1 dated 2015-08-03

Title: Tables so Beautifully Fine-Tuned You Will Believe It's Magic
Description: The introduction of the broom package has made converting model objects into data frames as simple as a single function. While the broom package focuses on providing tidy data frames that can be used in advanced analysis, it deliberately stops short of providing functionality for reporting models in publication-ready tables. pixiedust provides this functionality with a programming interface intended to be similar to ggplot2's system of layers with fine tuned control over each cell of the table. Options for output include printing to the console and to the common markdown formats (markdown, HTML, and LaTeX). With a little pixiedust (and happy thoughts) tables can really fly.
Author: Benjamin Nutter [aut, cre]
Maintainer: Benjamin Nutter <nutter@battelle.org>

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Package ndtv updated to version 0.7.0 with previous version 0.6.1 dated 2015-04-30

Title: Network Dynamic Temporal Visualizations
Description: Renders dynamic network data from 'networkDynamic' objects as movies, interactive animations, or other representations of changing relational structures and attributes.
Author: Skye Bender-deMoll [cre, aut], Martina Morris [ctb]
Maintainer: Skye Bender-deMoll <skyebend@uw.edu>

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Package geigen updated to version 1.7 with previous version 1.6 dated 2015-07-16

Title: Calculate Generalized Eigenvalues, the Generalized Schur Decomposition and the Generalized Singular Value Decomposition of a Matrix Pair with Lapack
Description: Functions to compute generalized eigenvalues and eigenvectors, the generalized Schur decomposition and the generalized Singular Value Decomposition of a matrix pair, using Lapack routines.
Author: Berend Hasselman [cre, aut], Lapack authors [aut, cph]
Maintainer: Berend Hasselman <bhh@xs4all.nl>

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