Mon, 29 Sep 2014

New package repra with initial version 0.4
Package: repra
Title: Renewable Energy Probability Resource Assessment Tool (REPRA)
Version: 0.4
Date: 2014-09-29
Author: Eduardo Ibanez
Maintainer: Eduardo Ibanez
Description: This package includes methods to calculate resource adequacy metrics in power systems. These methods are based in the notion of loss-of-load probability (LOLP) and include the treatment of conventional and variable renewable generators.
License: MIT + file LICENSE
Depends: R(>= 3.1.0)
Imports: data.table, dplyr, Rcpp, reshape2, ggplot2, assertthat
Suggests: testthat, knitr
LinkingTo: Rcpp (>= 0.11.1)
VignetteBuilder: knitr
LazyData: TRUE
Packaged: 2014-09-29 21:02:43 UTC; eibanez
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2014-09-30 00:03:48

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Package log4r updated to version 0.2 with previous version 0.1-4 dated 2012-03-01

Title: A simple logging system for R, based on log4j.
Description: logr4 provides an object-oriented logging system that uses an API roughly equivalent to log4j and its related variants.
Author: John Myles White [aut, cph], Kenton White [ctb], Kirill Müller [ctb, cre]
Maintainer: Kirill Müller

Diff between log4r versions 0.1-4 dated 2012-03-01 and 0.2 dated 2014-09-29

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Package GPFDA updated to version 2.2 with previous version 2.1 dated 2014-05-29

Title: Apply Gaussian Process in Functional data analysis
Description: Use functional regression as the mean structure and Gaussian Process as the covariance structure.
Author: Jian Qing Shi, Yafeng Cheng
Maintainer: Yafeng Cheng

Diff between GPFDA versions 2.1 dated 2014-05-29 and 2.2 dated 2014-09-29

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Package DoE.wrapper updated to version 0.8-10 with previous version 0.8-9 dated 2013-09-13

Title: Wrapper package for design of experiments functionality
Description: This package creates various kinds of designs for (industrial) experiments. It uses, and sometimes enhances, design generation routines from other packages. So far, response surface designs from package rsm, latin hypercube samples from packages lhs and DiceDesign, and D-optimal designs from package AlgDesign have been implemented.
Author: Ulrike Groemping [aut, cre], Lenth Russ [ctb]
Maintainer: Ulrike Groemping

Diff between DoE.wrapper versions 0.8-9 dated 2013-09-13 and 0.8-10 dated 2014-09-29

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Package DoE.base updated to version 0.26-3 with previous version 0.26-2 dated 2014-08-16

Title: Full factorials, orthogonal arrays and base utilities for DoE packages
Description: This package creates full factorial experimental designs and designs based on orthogonal arrays for (industrial) experiments. Additionally, it provides some utility functions used also by other DoE packages.
Author: Ulrike Groemping [aut, cre], Boyko Amarov [ctb], Hongquan Xu [ctb]
Maintainer: Ulrike Groemping

Diff between DoE.base versions 0.26-2 dated 2014-08-16 and 0.26-3 dated 2014-09-29

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Package ScottKnott updated to version 1.2-5 with previous version 1.2-4 dated 2013-11-28

Title: The ScottKnott Clustering Algorithm
Description: Division of an ANOVA experiment treatment means into homogeneous distinct groups using the clustering method of Scott & Knott
Author: Enio Jelihovschi José Cláudio Faria Ivan Bezerra Allaman
Maintainer: Ivan Bezerra Allaman

Diff between ScottKnott versions 1.2-4 dated 2013-11-28 and 1.2-5 dated 2014-09-29

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New package rjstat with initial version 0.2
Package: rjstat
Type: Package
Title: Read and write JSON-stat data sets
Version: 0.2
Date: 2014-08-16
Author: Aaron Schumacher , HÃ¥kon Malmedal
Maintainer: Aaron Schumacher
Description: Read and write the JSON-stat format (http://json-stat.org) to and from (lists of) R data frames. Not all features are supported, especially the extensive metadata features of JSON-stat.
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/ajschumacher/rjstat
BugReports: https://github.com/ajschumacher/rjstat/issues
Imports: jsonlite (>= 0.9.8), assertthat
Suggests: testthat (>= 0.8), reshape (>= 0.7)
Packaged: 2014-09-29 13:40:28 UTC; hmalmedal
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-09-29 23:06:22

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New package gender with initial version 0.4.1
Package: gender
Type: Package
Title: Gender: predict gender from names using historical data
Version: 0.4.1
Authors@R: c(person("Lincoln", "Mullen", role = c("aut", "cre"), email = "lincoln@lincolnmullen.com"), person("Cameron", "Blevins", role = "ctb"), person("Ben", "Schmidt", role = "ctb"))
Description: Encodes gender based on names and dates of birth, using either the Social Security Administration's data set of first names by year of birth or Census Bureau data from 1789 to 1940, both from the United States of America. By using these data sets instead of lists of male and female names, this package is able to more accurately guess the gender of a name, and it is able to report the probability that a name was male or female.
URL: https://github.com/ropensci/gender
Depends: R (>= 3.0.0), utils, stats
Imports: devtools(>= 1.5), dplyr (>= 0.2), httr (>= 0.4), jsonlite (>= 0.9.10)
Suggests: ggplot2, knitr, magrittr, testthat
LazyData: yes
License: MIT + file LICENSE
VignetteBuilder: knitr
BugReports: https://github.com/ropensci/gender/issues
Packaged: 2014-09-29 15:17:37 UTC; lmullen
Author: Lincoln Mullen [aut, cre], Cameron Blevins [ctb], Ben Schmidt [ctb]
Maintainer: Lincoln Mullen
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-09-29 23:04:09

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Package dendsort updated to version 0.3.2 with previous version 0.3.1 dated 2014-09-27

Title: Modular Leaf Ordering Methods for Dendrogram Nodes
Description: This package includes functions to optimize ordering of nodes in a dendrogram, without affecting the meaning of the dendrogram. A dendrogram can be sorted based on the average distance of subtrees, or based on the smallest distance value. These sorting methods improve readability and interpretability of tree structure, especially for tasks such as comparison of different distance measures or linkage types and identification of tight clusters and outliers. As a result, it also introduces more meaningful reordering for a coupled heatmap visualization.
Author: Ryo Sakai
Maintainer: Ryo Sakai

Diff between dendsort versions 0.3.1 dated 2014-09-27 and 0.3.2 dated 2014-09-29

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New package atmcmc with initial version 1.0
Package: atmcmc
Type: Package
Title: Automatically Tuned Markov Chain Monte Carlo
Version: 1.0
Date: 2014-09-16
Author: Jinyoung Yang
Maintainer: Jinyoung Yang
Description: Uses adaptive diagnostics to tune and run a random walk Metropolis MCMC algorithm, to converge to a specified target distribution and estimate means of functionals.
License: GPL (>= 2)
Packaged: 2014-09-29 20:01:29 UTC; 1
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-09-29 23:00:15

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New package sprint with initial version 1.0.7
Package: sprint
Title: Simple Parallel R INTerface
Version: 1.0.7
Date: 2014-09-24
Author: University of Edinburgh SPRINT Team
Copyright: University of Edinburgh
Maintainer: Eilidh Troup
Contact: University of Edinburgh SPRINT Team
Depends: R (>= 2.9.2), rlecuyer, ff (>= 2.1-1), randomForest
Suggests: cluster, stringdist, RUnit, Matrix, SparseM, multtest, Biostrings, ShortRead, golubEsets, RankProd
Imports: boot, e1071
SystemRequirements: MPI(>= 2.0)
Description: SPRINT (Simple Parallel R INTerface) is a parallel framework for R. It provides a High Performance Computing (HPC) harness which allows R scripts to run on HPC clusters. SPRINT contains a library of selected R functions that have been parallelized. Functions are named after the original R function with the added prefix 'p', i.e. the parallel version of cor() in SPRINT is called pcor(). Call to the parallel R functions are included directly in standard R scripts. SPRINT contains functions for correlation (pcor), partitioning around medoids (ppam), apply (papply), permutation testing (pmaxT), bootstrapping (pboot), random forest (prandomForest), rank product (pRP) and hamming distance (pstringdistmatrix).
License: GPL (>= 3)
URL: http://www.r-sprint.org
Repository: CRAN
Packaged: 2014-09-29 12:12:34 UTC; eilidhtroup
Date/Publication: 2014-09-29 18:03:00
NeedsCompilation: yes

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Package signal.hsmm updated to version 1.1 with previous version 1.0 dated 2014-08-07

Title: Predict Presence of Signal Peptides
Description: Predicts presence of signal peptides in eukaryotic protein using hidden semi-Markov models. The implemented algorithm can be accessed both from command line and GUI.
Author: Michal Burdukiewicz [cre, aut], Piotr Sobczyk [aut]
Maintainer: Michal Burdukiewicz

Diff between signal.hsmm versions 1.0 dated 2014-08-07 and 1.1 dated 2014-09-29

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Package magicaxis updated to version 1.9.3 with previous version 1.9 dated 2014-07-16

Title: Pretty scientific plotting with minor-tick and log minor-tick support
Description: Functions to make useful (and pretty) plots for scientific plotting. Additional plotting features are added for base plotting, with particular emphasis on making attractive log axis plots.
Author: Aaron Robotham
Maintainer: Aaron Robotham

Diff between magicaxis versions 1.9 dated 2014-07-16 and 1.9.3 dated 2014-09-29

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Package hierfstat updated to version 0.04-14 with previous version 0.04-10 dated 2013-04-10

Title: Estimation and tests of hierarchical F-statistics
Description: This R package allows the estimation of hierarchical F-statistics from haploid or diploid genetic data with any numbers of levels in the hierarchy, following the algorithm of Yang (Evolution, 1998, 52(4):950-956). Functions are also given to test via randomisations the significance of each F and variance components, using the likelihood-ratio statistics G -see Goudet etal (Genetics, 1996, 144(4): 1933-1940)
Author: Jerome Goudet
Maintainer: Jerome Goudet

Diff between hierfstat versions 0.04-10 dated 2013-04-10 and 0.04-14 dated 2014-09-29

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Package httpRequest updated to version 0.0.10 with previous version 0.0.9 dated 2012-12-04

Title: Basic HTTP Request
Description: HTTP Request protocols. Implements the GET, POST and multipart POST request.
Author: Eryk Witold Wolski, Andreas Westfeld
Maintainer: Andreas Westfeld

Diff between httpRequest versions 0.0.9 dated 2012-12-04 and 0.0.10 dated 2014-09-29

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Package gapmap updated to version 0.0.2 with previous version 0.0.1 dated 2014-09-11

Title: Functions for Drawing Gapped Cluster Heatmap with ggplot2
Description: The gap encodes the distance between clusters and improves interpretation of cluster heatmaps. The gaps can be of the same distance based on a height threshold to cut the dendrogram. Another option is to vary the size of gaps based on the distance between clusters.
Author: Ryo Sakai
Maintainer: Ryo Sakai

Diff between gapmap versions 0.0.1 dated 2014-09-11 and 0.0.2 dated 2014-09-29

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Package FeedbackTS updated to version 1.2 with previous version 1.1 dated 2014-07-03

Title: Analysis of Feedback in Time Series
Description: Analysis of fragmented time directionality to investigate feedback in time series. Tools provided by the package allow the analysis of feedback for a single time series and the analysis of feedback for a set of time series collected across a spatial domain.
Author: Samuel Soubeyrand, Cindy E. Morris, E. Keith Bigg
Maintainer: Samuel Soubeyrand

Diff between FeedbackTS versions 1.1 dated 2014-07-03 and 1.2 dated 2014-09-29

 DESCRIPTION                     |   10 +++++-----
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 NAMESPACE                       |    1 +
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 man/KDD.yearly.average-class.Rd |    6 +++---
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New package EffectStars with initial version 1.5
Package: EffectStars
Type: Package
Title: Visualization of Categorical Response Models
Version: 1.5
Date: 2014-09-29
Depends: VGAM
Author: Gunther Schauberger
Maintainer: Gunther Schauberger
Description: The package provides functions to visualize regression models with categorical response. The effects of the covariates are plotted with star plots in order to allow for an optical impression of the fitted model.
License: GPL-2
LazyLoad: yes
Packaged: 2014-09-29 13:30:38 UTC; schaubergerg
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-09-29 18:02:57

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Package corpcor updated to version 1.6.7 with previous version 1.6.6 dated 2013-05-15

Title: Efficient Estimation of Covariance and (Partial) Correlation
Description: This package implements a James-Stein-type shrinkage estimator for the covariance matrix, with separate shrinkage for variances and correlations. The details of the method are explained in Sch\"afer and Strimmer (2005) and Opgen-Rhein and Strimmer (2007). The approach is both computationally as well as statistically very efficient, it is applicable to "small n, large p" data, and always returns a positive definite and well-conditioned covariance matrix. In addition to inferring the covariance matrix the package also provides shrinkage estimators for partial correlations and partial variances. The inverse of the covariance and correlation matrix can be efficiently computed, as well as any arbitrary power of the shrinkage correlation matrix. Furthermore, functions are available for fast singular value decomposition, for computing the pseudoinverse, and for checking the rank and positive definiteness of a matrix.
Author: Juliane Sch\"afer, Rainer Opgen-Rhein, Verena Zuber, Miika Ahdesm\"aki, A. Pedro Duarte Silva, and Korbinian Strimmer.
Maintainer: Korbinian Strimmer

Diff between corpcor versions 1.6.6 dated 2013-05-15 and 1.6.7 dated 2014-09-29

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 MD5         |    4 ++--
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 3 files changed, 30 insertions(+), 26 deletions(-)

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Package aLFQ updated to version 1.3.2 with previous version 1.3.1 dated 2014-02-27

Title: An R-package for estimating absolute protein quantities from label-free LC-MS/MS proteomics data
Description: Determination of absolute protein quantities is necessary for multiple applications, such as mechanistic modeling of biological systems. Quantitative liquid chromatography tandem mass spectrometry (LC-MS/MS) proteomics can measure relative protein abundance on a system-wide scale. To estimate absolute quantitative information using these relative abundance measurements requires additional information such as heavy-labeled references of known concentration. Multiple methods have been using different references and strategies; some are easily available whereas others require more effort on the users end. Hence, we believe the field might benefit from making some of these methods available under an automated framework, which also facilitates validation of the chosen strategy. We have implemented the most commonly used absolute label-free protein abundance estimation methods for LC-MS/MS modes quantifying on either MS1-, MS2-levels or spectral counts together with validation algorithms to enable automated data analysis and error estimation. Specifically, we used Monte-carlo cross-validation and bootstrapping for model selection and imputation of proteome-wide absolute protein quantity estimation. Our open-source software is written in the statistical programming language R and validated and demonstrated on a synthetic sample.
Author: aLFQ: George Rosenberger, Hannes Roest, Christina Ludwig. AAindex: Barry Grant.
Maintainer: George Rosenberger

Diff between aLFQ versions 1.3.1 dated 2014-02-27 and 1.3.2 dated 2014-09-29

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Package yuima updated to version 1.0.36 with previous version 1.0.30 dated 2014-09-17

Title: The YUIMA Project package for SDEs
Description: Simulation and Inference for Stochastic Differential Equations
Author: YUIMA Project Team
Maintainer: Stefano M. Iacus

Diff between yuima versions 1.0.30 dated 2014-09-17 and 1.0.36 dated 2014-09-29

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Package soiltexture updated to version 1.2.19 with previous version 1.2.13 dated 2014-01-14

Title: Functions for soil texture plot, classification and transformation
Description: "The Soil Texture Wizard" is a set of R functions designed to produce texture triangles (also called texture plots, texture diagrams, texture ternary plots), classify and transform soil textures data. These functions virtually allows to plot any soil texture triangle / classification into any triangle geometry (isosceles, right-angled triangles, etc.). This set of function is expected to be useful to people using soil textures data from different soil texture classification or different particle size systems. Several texture triangles are predefined: USDA; FAO (which is also the triangle for the soil map of Europe); Aisne (France); GEPPA (France); German triangles "Bodenkundliche Kartieranleitung 1994", "SEA 1974" and "TGL 1985"; Soil Survey of England and Wales; Australian triangle; Belgian triangle; Canadian triangle; ISSS triangle; Romanian triangle; Polish triangle.
Author: Julien MOEYS , contributions from Wei Shangguan.
Maintainer: Julien MOEYS

Diff between soiltexture versions 1.2.13 dated 2014-01-14 and 1.2.19 dated 2014-09-29

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New package rFDSN with initial version 0.0.0
Package: rFDSN
Type: Package
Title: Get Seismic Data from the International Federation of Digital Seismograph Networks
Description: This package facilitates searching for and downloading seismic time series in miniSEED format (a minimalist version of the Standard for the Exchange of Earthquake Data) from International Federation of Digital Seismograph Networks repositories. This package can also be used to gather information about seismic networks (stations, channels, locations, etc) and find historical earthquake data (origins, magnitudes, etc).
Version: 0.0.0
Date: 2014-09-28
Authors@R: c(person(given="Daniel C.",family="Bowman", role=c("aut", "cre"), email="daniel.bowman@unc.edu"))
Depends: R (>= 3.1.1), XML (>= 3.98.1.1)
Enhances: RSEIS (>= 3.3.3)
License: GPL (>= 3)
Packaged: 2014-09-29 12:44:12 UTC; bowman
Maintainer: Daniel C. Bowman
Author: Daniel C. Bowman [aut, cre]
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-09-29 15:10:04

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Package LSAfun updated to version 0.3.2 with previous version 0.3.1 dated 2014-07-07

Title: Applied Latent Semantic Analysis (LSA) functions
Description: This package provides functions that allow for convenient working with Latent Semantic Analysis. For actually building an LSA space, use the package 'lsa'.
Author: Fritz Guenther [aut, cre]
Maintainer: Fritz Guenther

Diff between LSAfun versions 0.3.1 dated 2014-07-07 and 0.3.2 dated 2014-09-29

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Package ggdendro updated to version 0.1-15 with previous version 0.1-14 dated 2013-09-03

Title: Tools for extracting dendrogram and tree diagram plot data for use with ggplot2
Description: This is a set of tools for dendrograms and tree plots using ggplot2. The ggplot2 philosophy is to clearly separate data from the presentation. Unfortunately the plot method for dendrograms plots directly to a plot device without exposing the data. The ggdendro package resolves this by making available functions that extract the dendrogram plot data.
Author: Andrie de Vries [aut, cre], Brian D. Ripley [aut] (author of package tree)
Maintainer: Andrie de Vries

Diff between ggdendro versions 0.1-14 dated 2013-09-03 and 0.1-15 dated 2014-09-29

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Package fSRM updated to version 0.6 with previous version 0.3.5 dated 2014-05-13

Title: Social Relations Analyses with roles ("Family SRM")
Description: The package computes Social Relations Analysis with roles ("Family SRM"), using a structural equation modeling approach. Groups ranging from three members up to an unlimited number of members are supported and the mean structure can be computed. Means and variances can be compared between different groups of families and between roles.
Author: Felix Schönbrodt, Lara Stas, Tom Loeys
Maintainer: Felix Schönbrodt

Diff between fSRM versions 0.3.5 dated 2014-05-13 and 0.6 dated 2014-09-29

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Package fscaret updated to version 0.8.6.2 with previous version 0.8.5.7 dated 2014-08-28

Title: Automated caret feature selection
Description: Automated feature selection using variety of models provided by caret package
Author: Jakub Szlek , acknowledgments to Aleksander Mendyk, contributions from stackoverflow and r-help@r-project.org mailing list community. Acknowledgments: This work was funded by Poland-Singapore bilateral cooperation project no 2/3/POL-SIN/2012.
Maintainer: Jakub Szlek

Diff between fscaret versions 0.8.5.7 dated 2014-08-28 and 0.8.6.2 dated 2014-09-29

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Package FLSSS updated to version 2.0 with previous version 1.0 dated 2014-05-29

Title: Fixed Size Subset Sum Solution
Description: Solve an approximate Subset Sum Problem by introducing a recursive compression algorithm
Author: Charlie Wusuo Liu
Maintainer: Charlie Wusuo Liu

Diff between FLSSS versions 1.0 dated 2014-05-29 and 2.0 dated 2014-09-29

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New package activity with initial version 1.0
Package: activity
Title: Animal Activity Statistics
Version: 1.0
Date: 24/09/14
Author: Marcus Rowcliffe
Maintainer: Marcus Rowcliffe
Description: Provides functions to fit kernel density functions to animal activity time data; plot activity distributions; quantify overall levels of activity; statistically compare activity metrics through bootstrapping; and evaluate variation in linear variables with time (or other circular variables).
License: GPL-3
Depends: methods
Imports: circular, overlap, pbapply,
LazyData: true
Packaged: 2014-09-29 11:45:26 UTC; Rowcliffe.M
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-09-29 15:07:49

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Package Rcpp updated to version 0.11.3 with previous version 0.11.2 dated 2014-06-08

Title: Seamless R and C++ Integration
Description: The Rcpp package provides R functions as well as C++ classes which offer a seamless integration of R and C++. Many R data types and objects can be mapped back and forth to C++ equivalents which facilitates both writing of new code as well as easier integration of third-party libraries. Documentation about Rcpp is provided by several vignettes included in this package, via the Rcpp Gallery site at http://gallery.rcpp.org, the paper by Eddelbuettel and Francois (2011, JSS), and the book by Eddelbuettel (2013, Springer); see 'citation("Rcpp")' for details on these last two.
Author: Dirk Eddelbuettel, Romain Francois, JJ Allaire, Kevin Ushey, Douglas Bates, and John Chambers
Maintainer: Dirk Eddelbuettel

Diff between Rcpp versions 0.11.2 dated 2014-06-08 and 0.11.3 dated 2014-09-29

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Package nleqslv updated to version 2.5 with previous version 2.4 dated 2014-08-09

Title: Solve systems of non linear equations
Description: Solve a system of non linear equations using a Broyden or a Newton method with a choice of global strategies such as line search and trust region. There are options for using a numerical or user supplied Jacobian and for specifying that a numerical Jacobian is banded.
Author: Berend Hasselman
Maintainer: Berend Hasselman

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New package robustDA with initial version 1.0
Package: robustDA
Type: Package
Title: Robust Mixture Discriminant Analysis
Version: 1.0
Date: 2014-09-26
Author: Charles Bouveyron & Stephane Girard
Maintainer: Charles Bouveyron
Depends: MASS, mclust, Rsolnp
Description: Robust mixture discriminant analysis (RMDA, Bouveyron & Girard, 2009) allows to build a robust supervised classifier from learning data with label noise. The idea of the proposed method is to confront an unsupervised modeling of the data with the supervised information carried by the labels of the learning data in order to detect inconsistencies. The method is able afterward to build a robust classifier taking into account the detected inconsistencies into the labels.
License: GPL-2
Packaged: 2014-09-28 17:32:50 UTC; charles
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-09-29 07:27:55

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Package RcmdrPlugin.EZR updated to version 1.26 with previous version 1.25 dated 2014-08-19

Title: R Commander Plug-in for the EZR (Easy R) Package
Description: EZR (Easy R) adds a variety of statistical functions, including survival analyses, ROC analyses, metaanalyses, sample size calculation, and so on, to the R commander. EZR enables point-and-click easy access to statistical functions, especially for medical statistics. EZR is platform-independent and runs on Windows, Mac OS X, and UNIX. Its complete manual is available only in Japanese (Chugai Igakusha, ISBN-10: 4498109007), but an report that introduced the investigation of EZR was published in Bone Marrow Transplantation (Nature Publishing Group) as an Open article. This report can be used as a simple manual. It can be freely downloaded from the journal website as shown below.
Author: Yoshinobu Kanda
Maintainer: Yoshinobu Kanda

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Package chipPCR updated to version 0.0.8-3 with previous version 0.0.8-1 dated 2014-08-26

Title: Toolkit of helper functions to pre-process amplification data
Description: The chipPCR package is a toolkit of functions to pre-process amplification curve data. Amplification data can be obtained from conventional PCR reactions or isothermal amplification reactions. The package contains functions to normalize and baseline amplification curves, a routine to detect the start of an amplification reaction, several smoothers for amplification data, a function to distinguish positive and negative amplification reactions and a function to determine the amplification efficiency. The smoothers are based on LOWESS, moving average, cubic splines, Savitzky-Golay and others. In addition the first approximate approximate derivative maximum (FDM) and second approximate derivative maximum (SDM) can be calculated by a 5-point-stencil as quantification points from real-time amplification curves. chipPCR contains data sets of experimental nucleic acid amplification systems including the VideoScan HCU and a capillary convective PCR (ccPCR) system. The amplification data were generated by helicase dependent amplification (HDA) or polymerase chain reaction (PCR) under various temperature conditions. As detection system intercalating dyes (EvaGreen, SYBR Green) and hydrolysis probes (TaqMan) were used. The latest source code is available via: https://github.com/michbur/chipPCR
Author: Stefan Roediger [cre, aut], Michal Burdukiewicz [aut]
Maintainer: Stefan Roediger

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New package blocksdesign with initial version 1.0
Package: blocksdesign
Type: Package
Title: Nested block designs for unstructured treatments
Version: 1.0
Date: 2014-09-16
Author: R. N. Edmondson
Maintainer: Rodney Edmondson
Description: Nested block designs for unstructured treatment sets where blocks can be repeatedly nested and treatments can have different levels of replication. Blocks strata are optimized hierarchically with each set of nested blocks optimized within the levels of the preceding set. Block sizes are equal if the number of blocks exactly divides the number of plots, otherwise they differ by at most one plot. The design output is a data table giving a randomised allocation of treatments to blocks together with a plan table showing treatments in blocks and a set of blocks-by-treatments incidence matrices, one for each blocks stratum.
License: GPL (>= 2)
URL: http://www.expdesigns.co.uk
Suggests: knitr
VignetteBuilder: knitr
Imports: crossdes
Packaged: 2014-09-28 18:51:17 UTC; rne
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-09-29 07:23:52

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