Wed, 08 Jul 2015

New package visNetwork with initial version 0.0.4
Package: visNetwork
Title: Network Visualization using 'vis.js' Library
Version: 0.0.4
Date: 2015-07-07
Authors@R: c( person(family = "Almende B.V.", role = c("aut", "cph"), comment = "vis.js library in htmlwidgets/lib, http://visjs.org, http://www.almende.com/home"), person("Benoit", "Thieurmel", role = c("aut", "cre"), comment = "R interface", email = "bt@datak.fr") )
Maintainer: Benoit Thieurmel <bt@datak.fr>
Description: Provides an R interface to the 'vis.js' JavaScript charting library. It allows an interactive visualization of networks.
Depends: R (>= 3.0)
Imports: htmlwidgets, rjson, magrittr, utils
License: MIT + file LICENSE
Suggests: knitr
VignetteBuilder: knitr
Packaged: 2015-07-08 17:43:26 UTC; Benoit
Author: Almende B.V. [aut, cph] (vis.js library in htmlwidgets/lib, http://visjs.org, http://www.almende.com/home), Benoit Thieurmel [aut, cre] (R interface)
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2015-07-08 22:37:31

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Package vegdata updated to version 0.7 with previous version 0.6.9 dated 2015-04-18

Title: Access Vegetation Databases and Treat Taxonomy
Description: Handling of vegetation data from Turboveg (http://www.synbiosys.alterra.nl/turboveg/) and other sources (http://www.vegetweb.de). Taxonomic harmonization given appropriate taxonomic lists (e.g. the German taxonomical standard list "GermanSL", http://www.botanik.uni-greifswald.de/GermanSL.html).
Author: Florian Jansen <jansen@uni-greifswald.de>
Maintainer: Florian Jansen <jansen@uni-greifswald.de>

Diff between vegdata versions 0.6.9 dated 2015-04-18 and 0.7 dated 2015-07-08

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New package tumgr with initial version 0.0.2
Package: tumgr
Type: Package
Title: Tumor Growth Rate Analysis
Version: 0.0.2
Date: 2015-06-18
Author: Julia Wilkerson
Maintainer: Julia Wilkerson <wilkersj@mail.nih.gov>
URL: https://github.com/wilkersj/tumgr
Depends: R (>= 3.2.1), minpack.lm
Description: A tool to obtain tumor growth rates from clinical trial patient data. Output includes individual and summary data for tumor growth rate estimates as well as optional plots of the observed and predicted tumor quantity over time.
LazyData: true
License: MIT + file LICENSE
Suggests: testthat
NeedsCompilation: no
Packaged: 2015-07-08 20:05:36 UTC; Julia
Repository: CRAN
Date/Publication: 2015-07-08 22:37:30

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Package st updated to version 1.2.5 with previous version 1.2.4 dated 2015-03-21

Title: Shrinkage t Statistic and Correlation-Adjusted t-Score
Description: Implements the "shrinkage t" statistic introduced in Opgen-Rhein and Strimmer (2007) and a shrinkage estimate of the "correlation-adjusted t-score" (CAT score) described in Zuber and Strimmer (2009). It also offers a convenient interface to a number of other regularized t-statistics commonly employed in high-dimensional case-control studies.
Author: Rainer Opgen-Rhein, Verena Zuber, and Korbinian Strimmer.
Maintainer: Korbinian Strimmer <strimmerlab@gmail.com>

Diff between st versions 1.2.4 dated 2015-03-21 and 1.2.5 dated 2015-07-08

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Package matchingMarkets updated to version 0.1-5 with previous version 0.1-4 dated 2015-05-18

Title: Structural Estimators and Algorithms for the Analysis of Stable Matchings
Description: Implements structural estimators to correct for the sample selection bias from observed outcomes in matching markets. Also contains R code for matching algorithms such as the deferred-acceptance algorithm for college admissions, the top-trading-cycles algorithm for house allocation and a partitioning linear program for the roommates problem.
Author: Thilo Klein
Maintainer: Thilo Klein <thilo@klein.co.uk>

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New package LPM with initial version 2.5
Package: LPM
Title: Linear Parametric Models Applied to Hydrological Series
Version: 2.5
Date: 2015-06-25
Authors@R: c(person("Corrado", "Tallerini", role = c("aut", "cre"), email = "corrado.tallerini@vodafone.it"), person("Salvatore", "Grimaldi", role = "aut", email = "salvatore.grimaldi@unitus.it"))
Maintainer: Corrado Tallerini <corrado.tallerini@vodafone.it>
Description: Apply Univariate Long Memory Models, Multivariate Short Memory Models To Hydrological Dataset.
Imports: stats, graphics, grDevices, fracdiff, MASS
License: GPL-2
URL: http://www.corradotallerini.altervista.org/lpm.html
BugReports: http://www.corradotallerini.altervista.org/contatti.html
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2015-07-08 16:43:59 UTC; Corrado
Author: Corrado Tallerini [aut, cre], Salvatore Grimaldi [aut]
Repository: CRAN
Date/Publication: 2015-07-08 22:37:19

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Package LogisticDx updated to version 0.2 with previous version 0.1 dated 2014-05-14

Title: Diagnostic Tests for Models with a Binomial Response
Description: Diagnostic tests and plots for GLMs (generalized linear models) with binomial/ binary outcomes, particularly logistic regression.
Author: Chris Dardis
Maintainer: Chris Dardis <christopherdardis@gmail.com>

Diff between LogisticDx versions 0.1 dated 2014-05-14 and 0.2 dated 2015-07-08

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Package eHOF updated to version 1.5.9 with previous version 1.5.8 dated 2015-04-18

Title: Extended HOF (Huisman-Olff-Fresco) Models
Description: Extended and enhanced hierarchical logistic regression models (called Huisman-Olff-Fresco in biology, see Huisman eta l. 1993 JVS) models. Response curves along one-dimensional gradients including no response, monotone, plateau, unimodal and bimodal models.
Author: Florian Jansen, Jari Oksanen
Maintainer: Florian Jansen <jansen@uni-greifswald.de>

Diff between eHOF versions 1.5.8 dated 2015-04-18 and 1.5.9 dated 2015-07-08

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Package BNSP updated to version 1.0.5 with previous version 1.0.4 dated 2015-06-23

Title: Bayesian Non- and Semi-Parametric Model Fitting
Description: Markov chain Monte Carlo algorithms for non- and semi-parametric models.
Author: Georgios Papageorgiou
Maintainer: Georgios Papageorgiou <gpapageo@gmail.com>

Diff between BNSP versions 1.0.4 dated 2015-06-23 and 1.0.5 dated 2015-07-08

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New package aTSA with initial version 3.1.2
Package: aTSA
Type: Package
Title: Alternative Time Series Analysis
Version: 3.1.2
Date: 2015-06-19
Author: Debin Qiu
Maintainer: Debin Qiu <debinqiu@uga.edu>
Description: Contains some tools for testing, analyzing time series data and fitting popular time series models such as ARIMA, Moving Average and Holt Winters, etc. Most functions also provide nice and clear outputs like SAS does, such as identify, estimate and forecast, which are the same statements in PROC ARIMA in SAS.
License: GPL-2 | GPL-3
Packaged: 2015-07-08 19:18:15 UTC; Deman
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2015-07-08 22:37:24

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Package PopGenReport updated to version 2.2 with previous version 2.1 dated 2014-10-27

Title: A Simple Framework to Analyse Population Genetic Data
Description: Provides beginner friendly framework to analyse population genetic data. It uses 'knitr' to create comprehensive reports on spatial genetic data. For detailed information how to use the package refer to the comprehensive tutorials or visit www.popgenreport.org.
Author: Bernd Gruber [aut, cre], Aaron Adamack [aut]
Maintainer: Bernd Gruber <bernd.gruber@canberra.edu.au>

Diff between PopGenReport versions 2.1 dated 2014-10-27 and 2.2 dated 2015-07-08

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Package pipeR updated to version 0.6.0.6 with previous version 0.6 dated 2015-01-23

Title: Multi-Paradigm Pipeline Implementation
Description: Provides various styles of function chaining methods: Pipe operator, Pipe object, and pipeline function, each representing a distinct pipeline model yet sharing almost a common set of features: A value can be piped to the first unnamed argument of a function and to dot symbol in an enclosed expression. The syntax is designed to make the pipeline more readable and friendly to a wide range of operations.
Author: Kun Ren <ken@renkun.me>
Maintainer: Kun Ren <ken@renkun.me>

Diff between pipeR versions 0.6 dated 2015-01-23 and 0.6.0.6 dated 2015-07-08

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Package MareyMap updated to version 1.3.0 with previous version 1.2 dated 2014-10-07

Title: Estimation of Meiotic Recombination Rates Using Marey Maps
Description: Local recombination rates are graphically estimated across a genome using marey maps.
Author: Aurelie Siberchicot, Clement Rezvoy, Delphine Charif, Laurent Gueguen and Gabriel Marais
Maintainer: Aurelie Siberchicot <aurelie.siberchicot@univ-lyon1.fr>

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Package manifestoR updated to version 1.0-3 with previous version 1.0-1 dated 2015-05-22

Title: Access and Process Data and Documents of the Manifesto Project
Description: Provides access to coded election programmes from the Manifesto Corpus and to the Manifesto Project's Main Dataset. The Manifesto Project (https://manifesto-project.wzb.eu) collects and analyses election programmes across time and space to measure the political preferences of parties. The Manifesto Corpus contains the collected and annotated election programmes in the Corpus format of the package 'tm' to enable easy use of text processing and text mining functionality. Specific functions for scaling of coded political texts are included.
Author: Jirka Lewandowski [aut, cre], Nicolas Merz [aut], Sven Regel [ctb], Pola Lehmann [ctb]
Maintainer: Jirka Lewandowski <jirka.lewandowski@wzb.eu>

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Package FedData updated to version 2.0.0 with previous version 1.1.0 dated 2015-05-06

Title: Functions to Automate Downloading Geospatial Data Available from Several Federated Data Sources
Description: Functions to automate downloading geospatial data available from several federated data sources (mainly sources maintained by the US Federal government). Currently, the package allows for retrieval of five datasets: The National Elevation Dataset digital elevation models (1 and 1/3 arc-second; USGS); The National Hydrography Dataset (USGS); The Soil Survey Geographic (SSURGO) database from the National Cooperative Soil Survey (NCSS), which is led by the Natural Resources Conservation Service (NRCS) under the USDA; the Global Historical Climatology Network (GHCN), coordinated by National Climatic Data Center at NOAA; and the International Tree Ring Data Bank. Additional data sources are in the works, including global DEM resources (ETOPO1, ETOPO5, ETOPO30, SRTM), global soils (HWSD), MODIS satellite data products, the National Atlas (US), Natural Earth, PRISM, and WorldClim.
Author: R. Kyle Bocinsky <bocinsky@gmail.com> Dylan Beaudette <Dylan.Beaudette@ca.usda.gov>
Maintainer: R. Kyle Bocinsky <bocinsky@gmail.com>

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Package DiscreteWeibull updated to version 1.0.1 with previous version 1.0 dated 2013-08-07

Title: Discrete Weibull Distributions (Type 1 and 3)
Description: Probability mass function, distribution function, quantile function, random generation and parameter estimation for the type I and III discrete Weibull distributions.
Author: Alessandro Barbiero
Maintainer: Alessandro Barbiero <alessandro.barbiero@unimi.it>

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Package Benchmarking updated to version 0.26 with previous version 0.24 dated 2014-10-10

Title: Benchmark and Frontier Analysis Using DEA and SFA
Description: Methods for frontier analysis, Data Envelopment Analysis (DEA), under different technology assumptions (fdh, vrs, drs, crs, irs, add/frh, and fdh+), and using different efficiency measures (input based, output based, hyperbolic graph, additive, super, and directional efficiency). Peers and slacks are available, partial price information can be included, and optimal cost, revenue and profit can be calculated. Evaluation of mergers is also supported. Methods for graphing the technology sets are also included. There is also support comparative methods based on Stochastic Frontier Analyses (SFA). In general, the methods can be used to solve not only standard models, but also many other model variants. It complements the book, Bogetoft and Otto, Benchmarking with DEA, SFA, and R, Springer-Verlag, 2011, but can of course also be used as a stand-alone package.
Author: Peter Bogetoft and Lars Otto
Maintainer: Lars Otto <larsot23@gmail.com>

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Package vcd updated to version 1.4-1 with previous version 1.4-0 dated 2015-06-09

Title: Visualizing Categorical Data
Description: Visualization techniques, data sets, summary and inference procedures aimed particularly at categorical data. Special emphasis is given to highly extensible grid graphics. The package was package was originally inspired by the book "Visualizing Categorical Data" by Michael Friendly and is now the main support package for a new book, "Discrete Data Analysis with R" by Michael Friendly and David Meyer (2015).
Author: David Meyer [aut, cre], Achim Zeileis [aut], Kurt Hornik [aut], Florian Gerber [ctb], Michael Friendly [ctb]
Maintainer: David Meyer <David.Meyer@R-project.org>

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Package StatDataML updated to version 1.0-26 with previous version 1.0-25 dated 2014-03-17

Title: Read and Write StatDataML Files
Description: Support for reading and writing files in StatDataML---an XML-based data exchange format.
Author: David Meyer [aut, cre], Torsten Hothorn [aut], Friedrich Leisch [aut]
Maintainer: David Meyer <David.Meyer@R-project.org>

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Package sperich updated to version 1.5-7 with previous version 1.5-5 dated 2012-12-21

Title: Auxiliary Functions to Estimate Centers of Biodiversity
Description: Provides some easy-to-use functions to interpolate species range based on species occurrences and to estimate centers of biodiversity.
Author: Maximilian Lange, Sven Lautenbach, Claudia Raedig
Maintainer: Maximilian Lange <maximilian-lange@t-online.de>

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Package sets updated to version 1.0-15 with previous version 1.0-14 dated 2015-04-30

Title: Sets, Generalized Sets, Customizable Sets and Intervals
Description: Data structures and basic operations for ordinary sets, generalizations such as fuzzy sets, multisets, and fuzzy multisets, customizable sets, and intervals.
Author: David Meyer [aut, cre], Kurt Hornik [aut], Christian Buchta [ctb]
Maintainer: David Meyer <David.Meyer@R-project.org>

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Package sda updated to version 1.3.7 with previous version 1.3.6 dated 2015-03-21

Title: Shrinkage Discriminant Analysis and CAT Score Variable Selection
Description: Provides an efficient framework for high-dimensional linear and diagonal discriminant analysis with variable selection. The classifier is trained using James-Stein-type shrinkage estimators and predictor variables are ranked using correlation-adjusted t-scores (CAT scores). Variable selection error is controlled using false non-discovery rates or higher criticism.
Author: Miika Ahdesmaki, Verena Zuber, Sebastian Gibb, and Korbinian Strimmer
Maintainer: Korbinian Strimmer <strimmerlab@gmail.com>

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Package registry updated to version 0.3 with previous version 0.2 dated 2011-04-26

Title: Infrastructure for R Package Registries
Description: Provides a generic infrastructure for creating and using registries.
Author: David Meyer
Maintainer: David Meyer <David.Meyer@R-project.org>

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Package proxy updated to version 0.4-15 with previous version 0.4-14 dated 2015-02-04

Title: Distance and Similarity Measures
Description: Provides an extensible framework for the efficient calculation of auto- and cross-proximities, along with implementations of the most popular ones.
Author: David Meyer [aut, cre], Christian Buchta [aut]
Maintainer: David Meyer <David.Meyer@R-project.org>

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Package poppr updated to version 2.0.0 with previous version 1.1.5 dated 2015-05-12

Title: Genetic Analysis of Populations with Mixed Reproduction
Description: Population genetic analyses for hierarchical analysis of partially clonal populations built upon the architecture of the 'adegenet' package.
Author: Zhian N. Kamvar [cre, aut], Javier F. Tabima [aut], Jonah C. Brooks [aut], Niklaus J. Grunwald [ths]
Maintainer: Zhian N. Kamvar <kamvarz@science.oregonstate.edu>

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New package LSDinterface with initial version 0.2.1
Package: LSDinterface
Type: Package
Title: Reading LSD Results (.res) Files
Version: 0.2.1
Date: 2015-07-08
Author: Marcelo C. Pereira
Maintainer: Marcelo C. Pereira <marcelocpereira@uol.com.br>
Description: Interfaces R with LSD. Reads object-oriented data in results files (.res) produced by LSD and creates appropriate multi-dimensional arrays in R. Also provides functions to extract basic information and statistics from those files. LSD (Laboratory for Simulation Development) is free software developed by Marco Valente (documentation and downloads available at <http://labsimdev.org>).
Depends: abind, utils, stats
License: GPL-3
LazyData: TRUE
NeedsCompilation: no
Packaged: 2015-07-08 13:23:42 UTC; Marcelo
Repository: CRAN
Date/Publication: 2015-07-08 16:28:28

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Package longitudinal updated to version 1.1.12 with previous version 1.1.11 dated 2015-03-09

Title: Analysis of Multiple Time Course Data
Description: Contains general data structures and functions for longitudinal data with multiple variables, repeated measurements, and irregularly spaced time points. Also implements a shrinkage estimator of dynamical correlation and dynamical covariance.
Author: Rainer Opgen-Rhein and Korbinian Strimmer.
Maintainer: Korbinian Strimmer <strimmerlab@gmail.com>

Diff between longitudinal versions 1.1.11 dated 2015-03-09 and 1.1.12 dated 2015-07-08

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Package FatTailsR updated to version 1.2-3 with previous version 1.2-0 dated 2015-06-18

Title: Kiener Distributions and Fat Tails in Finance
Description: Kiener distributions of type I, II, III and IV tailored to distributions with left and right fat tails like those that occur in financial markets. These distributions can be used to estimate with a high accuracy market risks and value-at-risk. Also include power hyperbolas and power hyperbolic functions.
Author: Patrice Kiener
Maintainer: Patrice Kiener <fattailsr@inmodelia.com>

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Package care updated to version 1.1.9 with previous version 1.1.8 dated 2015-03-09

Title: High-Dimensional Regression and CAR Score Variable Selection
Description: Implements the regression approach of Zuber and Strimmer (2011) "High-dimensional regression and variable selection using CAR scores" SAGMB 10: 34. CAR scores measure the correlation between the response and the Mahalanobis-decorrelated predictors. The squared CAR score is a natural measure of variable importance and provides a canonical ordering of variables. This package provides functions for estimating CAR scores, for variable selection using CAR scores, and for estimating corresponding regression coefficients. Both shrinkage as well as empirical estimators are available.
Author: Verena Zuber and Korbinian Strimmer.
Maintainer: Korbinian Strimmer <strimmerlab@gmail.com>

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Package vectoptim (with last version 0.2) was removed from CRAN

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

2014-01-10 0.2
2013-09-24 0.1

Permanent link
Package wskm updated to version 1.4.28 with previous version 1.4.19 dated 2014-12-26

Title: Weighted k-Means Clustering
Description: Entropy weighted k-means (ewkm) is a weighted subspace clustering algorithm that is well suited to very high dimensional data. Weights are calculated as the importance of a variable with regard to cluster membership. The two-level variable weighting clustering algorithm tw-k-means (twkm) introduces two types of weights, the weights on individual variables and the weights on variable groups, and they are calculated during the clustering process. The feature group weighted k-means (fgkm) extends this concept by grouping features and weighting the group in addition to weighting individual features.
Author: Graham Williams [aut], Joshua Z Huang [aut], Xiaojun Chen [aut], Qiang Wang [aut], Longfei Xiao [aut], He Zhao [cre]
Maintainer: He Zhao <Simon.Yansen.Zhao@gmail.com>

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Package vardiag updated to version 0.2-1 with previous version 0.2-0 dated 2013-05-02

Title: Variogram Diagnostics
Description: Interactive variogram diagnostics.
Author: Ernst Glatzer <ernst.glatzer@wu-wien.ac.at>
Maintainer: Edzer Pebesma <edzer.pebesma@uni-muenster.de>

Diff between vardiag versions 0.2-0 dated 2013-05-02 and 0.2-1 dated 2015-07-08

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New package tailloss with initial version 1.0
Package: tailloss
Title: Estimate the Probability in the Upper Tail of the Aggregate Loss Distribution
Description: Set of tools to estimate the probability in the upper tail of the aggregate loss distribution using different methods: Panjer recursion, Monte Carlo simulations, Markov bound, Cantelli bound, Moment bound, and Chernoff bound.
Version: 1.0
Authors@R: c(person(given = "Isabella", family = "Gollini", role = c("aut","cre"), email = "igollini.stats@gmail.com"), person("Jonathan", "Rougier", role = "ctb"))
Depends: R (>= 3.0.2), MASS, graphics, stats
License: GPL-2 | GPL-3
LazyData: true
URL: http://github.com/igollini/tailloss
NeedsCompilation: no
Packaged: 2015-07-08 11:41:13 UTC; igollini
Author: Isabella Gollini [aut, cre], Jonathan Rougier [ctb]
Maintainer: Isabella Gollini <igollini.stats@gmail.com>
Repository: CRAN
Date/Publication: 2015-07-08 14:48:30

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Package synthpop updated to version 1.1-1 with previous version 1.1-0 dated 2015-02-20

Title: Generating Synthetic Versions of Sensitive Microdata for Statistical Disclosure Control
Description: A tool for producing synthetic versions of microdata containing confidential information so that they are safe to be released to users for exploratory analysis. The key objective of generating synthetic data is to replace sensitive original values with synthetic ones causing minimal distortion of the statistical information contained in the data set. Variables, which can be categorical or continuous, are synthesised one-by-one using sequential modelling. Replacements are generated by drawing from conditional distributions fitted to the original data using parametric or classification and regression trees models. Data are synthesised via the function syn() which can be largely automated, if default settings are used, or with methods defined by the user. Optional parameters can be used to influence the disclosure risk and the analytical quality of the synthesised data.
Author: Beata Nowok, Gillian M Raab, Joshua Snoke and Chris Dibben
Maintainer: Beata Nowok <beata.nowok@gmail.com>

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Package seewave updated to version 2.0.1 with previous version 1.7.6 dated 2014-09-12

Title: Sound Analysis and Synthesis
Description: Functions for analysing, manipulating, displaying, editing and synthesizing time waves (particularly sound). This package processes time analysis (oscillograms and envelopes), spectral content, resonance quality factor, entropy, cross correlation and autocorrelation, zero-crossing, dominant frequency, analytic signal, frequency coherence, 2D and 3D spectrograms and many other analyses.
Author: Jerome Sueur <sueur@mnhn.fr> [cre, au], Thierry Aubin [au], Caroline Simonis [au], Laurent Lellouch [main ctrb] Ethan C. Brown [ctrb], Marion Depraetere [ctrb], Camille Desjonqueres [ctrb], Francois Fabianek [ctrb] Amandine Gasc [ctrb], Stefanie LaZerte [ctrb], Jonathan Lees [ctrb], Jean Marchal [ctrb], Sandrine Pavoine [ctrb], Alicia Stotz [ctrb], Luis J. Villanueva-Rivera [ctrb], Zev Ross [ctrb], Carl G. Witthoft [ctrb], Hristo Zhivomirov [ctrb].
Maintainer: Jerome Sueur <sueur@mnhn.fr>

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More information about seewave at CRAN
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New package prop.comb.RR with initial version 1.0
Package: prop.comb.RR
Type: Package
Title: Analyzing Combination of Proportions and Relative Risk
Version: 1.0
Date: 2015-07-07
Author: Maria Alvarez and Javier Roca-Pardinas
Maintainer: Maria Alvarez <maria.alvarez@uvigo.es>
Depends: rootSolve
Description: The prop.comb.RR package analyzes combination of proportions and relative risk.
License: GPL
NeedsCompilation: no
Packaged: 2015-07-08 10:05:19 UTC; user1
Repository: CRAN
Date/Publication: 2015-07-08 13:21:57

More information about prop.comb.RR at CRAN
Permanent link

Package PopVar updated to version 1.2.1 with previous version 1.2 dated 2015-06-17

Title: Genomic Breeding Tools: Genetic Variance Prediction and Cross-Validation
Description: The main attribute of 'PopVar' is the prediction of genetic variance in bi-parental populations, from which the package derives its name. 'PopVar' contains a set of functions that use phenotypic and genotypic data from a set of candidate parents to 1) predict the mean, genetic variance, and superior progeny value of all, or a defined set of pairwise bi-parental crosses, and 2) perform cross-validation to estimate genome-wide prediction accuracy of multiple statistical models. More details are available in Mohammadi, Tiede, and Smith (2015). Crop Sci. doi:10.2135/cropsci2015.01.0030. A dataset 'think_barley.rda' is included for reference and examples.
Author: Tyler Tiede [aut, cre], Mohsen Mohammadi [ctb], Kevin P. Smith [ctb]
Maintainer: Tyler Tiede <tyler.tiede7@gmail.com>

Diff between PopVar versions 1.2 dated 2015-06-17 and 1.2.1 dated 2015-07-08

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Package nplr updated to version 0.1-2 with previous version 0.1-1 dated 2014-05-13

Title: N-Parameter Logistic Regression
Description: Performing drug response analyses and IC50 estimations using n-Parameter logistic regression. nplr can also be applied to proliferation analyses.
Author: Frederic Commo [aut, cre], Brian M. Bot [aut]
Maintainer: Frederic Commo <fredcommo@gmail.com>

Diff between nplr versions 0.1-1 dated 2014-05-13 and 0.1-2 dated 2015-07-08

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Package MM2S updated to version 1.0.2 with previous version 1.0.1 dated 2015-06-17

Title: Single-Sample Classifier of Medulloblastoma Subtypes for Medulloblastoma Patient Samples, Mouse Models, and Cell Lines
Description: Description: A single-sample classifier that generates Medulloblastoma (MB) subtype predictions for single-samples of human MB patients and model systems, including cell lines and mouse-models. The MM2S algorithm uses a systems-based methodology that facilitates application of the algorithm on samples irrespective of their platform or source of origin. MM2S demonstrates > 96% accuracy for patients of well-characterized normal cerebellum, Wingless (WNT), or Sonic hedgehog (SHH) subtypes, and the less-characterized Group4 (86%) and Group3 (78.2%). MM2S also enables classification of MB cell lines and mouse models into their human counterparts.This package contains function for implementing the classifier onto human data and mouse data, as well as graphical rendering of the results as PCA plots and heatmaps.
Author: Deena M.A. Gendoo <deena.gendoo@utoronto.ca>, Benjamin Haibe-Kains <benjamin.haibe.kains@utoronto.ca>
Maintainer: Deena M.A. Gendoo <deena.gendoo@utoronto.ca>

Diff between MM2S versions 1.0.1 dated 2015-06-17 and 1.0.2 dated 2015-07-08

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More information about MM2S at CRAN
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Package mclust updated to version 5.0.2 with previous version 5.0.1 dated 2015-04-22

Title: Normal Mixture Modelling for Model-Based Clustering, Classification, and Density Estimation
Description: Normal Mixture Modelling fitted via EM algorithm for Model-Based Clustering, Classification, and Density Estimation, including Bayesian regularization.
Author: Chris Fraley [aut], Adrian E. Raftery [aut], Luca Scrucca [aut, cre], Thomas Brendan Murphy [ctb], Michael Fop [ctb]
Maintainer: Luca Scrucca <luca@stat.unipg.it>

Diff between mclust versions 5.0.1 dated 2015-04-22 and 5.0.2 dated 2015-07-08

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More information about mclust at CRAN
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Package GroupSeq updated to version 1.3.3 with previous version 1.3.2 dated 2014-01-10

Title: A GUI-Based Program to Compute Probabilities Regarding Group Sequential Designs
Description: A graphical user interface to compute group sequential designs based on normally distributed test statistics, particularly critical boundaries, power, drift, and confidence intervals of such designs. All computations are based on the alpha spending approach by Lan-DeMets with various alpha spending functions being available to choose among.
Author: Roman Pahl
Maintainer: Roman Pahl <roman.pahl@gmail.com>

Diff between GroupSeq versions 1.3.2 dated 2014-01-10 and 1.3.3 dated 2015-07-08

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More information about GroupSeq at CRAN
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Package genoPlotR updated to version 0.8.4 with previous version 0.8.2 dated 2013-12-23

Title: Plot Publication-Grade Gene and Genome Maps
Description: Draws gene or genome maps and comparisons between these, in a publication-grade manner. Starting from simple, common files, it will draw postscript or pdf files that can be sent as such to journals.
Author: Lionel Guy <lionel.guy@imbim.uu.se>
Maintainer: Lionel Guy <lionel.guy@imbim.uu.se>

Diff between genoPlotR versions 0.8.2 dated 2013-12-23 and 0.8.4 dated 2015-07-08

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New package FuzzyLP with initial version 0.1-3
Package: FuzzyLP
Title: Fuzzy Linear Programming
Type: Package
Authors@R: c( person("Carlos A.", "Rabelo", role = c("aut", "cre"), email = "carabelo@gmail.com"), person("Pablo J.", "Villacorta", role = c("ctb"), email = " pjvi@decsai.ugr.es"))
Description: Methods to solve Fuzzy Linear Programming Problems with fuzzy constraints (by Verdegay, Zimmermann, Werner, Tanaka), fuzzy costs (multiobjective, interval arithmetic, stratified piecewise reduction, defuzzification-based), and fuzzy technological matrix.
Version: 0.1-3
Date: 2015-07-08
License: GPL (>= 3)
ByteCompile: TRUE
Imports: ROI, ROI.plugin.glpk
Depends: FuzzyNumbers
Suggests: R.rsp
URL: http://decsai.ugr.es/~pjvi
NeedsCompilation: no
Author: Carlos A. Rabelo [aut, cre], Pablo J. Villacorta [ctb]
Maintainer: Carlos A. Rabelo <carabelo@gmail.com>
VignetteBuilder: R.rsp
Packaged: 2015-07-08 09:42:50 UTC; Pablo
Repository: CRAN
Date/Publication: 2015-07-08 13:21:47

More information about FuzzyLP at CRAN
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Package crossval updated to version 1.0.3 with previous version 1.0.2 dated 2014-11-14

Title: Generic Functions for Cross Validation
Description: Contains generic functions for performing cross validation and for computing diagnostic errors.
Author: Korbinian Strimmer.
Maintainer: Korbinian Strimmer <strimmerlab@gmail.com>

Diff between crossval versions 1.0.2 dated 2014-11-14 and 1.0.3 dated 2015-07-08

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More information about crossval at CRAN
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Package corpcor updated to version 1.6.8 with previous version 1.6.7 dated 2014-09-29

Title: Efficient Estimation of Covariance and (Partial) Correlation
Description: 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 <strimmerlab@gmail.com>

Diff between corpcor versions 1.6.7 dated 2014-09-29 and 1.6.8 dated 2015-07-08

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More information about corpcor at CRAN
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Package bigGP updated to version 0.1-6 with previous version 0.1-5 dated 2015-01-21

Title: Distributed Gaussian Process Calculations
Description: Distributes Gaussian process calculations across nodes in a distributed memory setting, using Rmpi. The bigGP class provides high-level methods for maximum likelihood with normal data, prediction, calculation of uncertainty (i.e., posterior covariance calculations), and simulation of realizations. In addition, bigGP provides an API for basic matrix calculations with distributed covariance matrices, including Cholesky decomposition, back/forwardsolve, crossproduct, and matrix multiplication.
Author: Christopher Paciorek [aut, cre], Benjamin Lipshitz [aut], Prabhat [ctb], Cari Kaufman [ctb], Tina Zhuo [ctb], Rollin Thomas [ctb]
Maintainer: Christopher Paciorek <paciorek@stat.berkeley.edu>

Diff between bigGP versions 0.1-5 dated 2015-01-21 and 0.1-6 dated 2015-07-08

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More information about bigGP at CRAN
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Package BAT updated to version 1.3.1 with previous version 1.3.0 dated 2015-04-16

Title: Biodiversity Assessment Tools
Description: Includes algorithms to assess alpha and beta diversity in all their dimensions (taxon, phylogenetic and functional diversity), whether communities are completely sampled or not. It allows performing a number of analyses based on either species identities or phylogenetic/functional trees depicting species relationships.
Author: Pedro Cardoso, Francois Rigal, Jose Carlos Carvalho
Maintainer: Pedro Cardoso <pedro.cardoso@helsinki.fi>

Diff between BAT versions 1.3.0 dated 2015-04-16 and 1.3.1 dated 2015-07-08

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More information about BAT at CRAN
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Package tspmeta updated to version 1.2 with previous version 1.1 dated 2014-02-25

Title: Instance Feature Calculation and Evolutionary Instance Generation for the Traveling Salesman Problem
Description: Instance feature calculation and evolutionary instance generation for the traveling salesman problem. Also contains code to "morph" two TSP instances into each other. And the possibility to conveniently run a couple of solvers on TSP instances.
Author: Bernd Bischl <bernd_bischl@gmx.net>, Jakob Bossek <jakob.bossek@tu-dortmund.de>, Olaf Mersmann <olafm@p-value.net>
Maintainer: Bernd Bischl <bernd_bischl@gmx.net>

Diff between tspmeta versions 1.1 dated 2014-02-25 and 1.2 dated 2015-07-08

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Package sae updated to version 1.1 with previous version 1.0-5 dated 2015-03-30

Title: Small Area Estimation
Description: Functions for small area estimation.
Author: Isabel Molina, Yolanda Marhuenda
Maintainer: Yolanda Marhuenda <y.marhuenda@umh.es>

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Package RcmdrPlugin.EZR updated to version 1.29 with previous version 1.28 dated 2015-05-18

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: 978-4-498-10901-8 or Nankodo, ISBN: 978-4-524-26158-1), 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 <ycanda-tky@umin.ac.jp>

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New package nbconvertR with initial version 1.0.1
Package: nbconvertR
Type: Package
Title: Vignette Engine Wrapping IPython Notebooks
Version: 1.0.1
Date: 2015-06-25
Author: Philipp Angerer
Maintainer: Philipp Angerer <philipp.angerer@helmholtz-muenchen.de>
Description: Calls the 'Jupyter'/'IPython' script 'nbconvert' to create vignettes from notebooks. Those notebooks ('.ipynb' files) are files containing rich text, code, and its output. Code cells can be edited and evaluated interactively. See <http://ipython.org/notebook.html> for more information.
License: GPL-3
SystemRequirements: pandoc, ipython (>= 3.0) or jupyter, ipython/jupyter notebook optional dependencies, pywin32 (on windows)
VignetteBuilder: nbconvertR
NeedsCompilation: no
Packaged: 2015-07-05 08:23:09 UTC; angerer
Repository: CRAN
Date/Publication: 2015-07-08 11:39:40

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Package gsbDesign updated to version 0.96-3 with previous version 0.96-2 dated 2013-05-04

Title: Group Sequential Bayes Design
Description: Group Sequential Operating Characteristics for Clinical, Bayesian two-arm Trials with known Sigma and Normal Endpoints.
Author: Florian Gerber, Thomas Gsponer
Maintainer: Florian Gerber <flora.fauna.gerber@gmail.com>

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New package VPdtw with initial version 2.1-11
Package: VPdtw
Type: Package
Title: Variable Penalty Dynamic Time Warping
Version: 2.1-11
Date: 2015-07-06
Author: David Clifford, Glenn Stone
Maintainer: David Clifford <David.Clifford+CRAN@gmail.com>
Description: Variable Penalty Dynamic Time Warping for aligning GC-MS chromatograms to a master signal and more. With the appropriate penalty this method performs good alignment without altering the shape of peaks in GC-MS data.
License: GPL-2
NeedsCompilation: yes
Packaged: 2015-07-08 03:08:08 UTC; hua032
Repository: CRAN
Date/Publication: 2015-07-08 05:13:01

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Package spatialCovariance updated to version 0.6-9 with previous version 0.6-8 dated 2013-04-19

Title: Computation of Spatial Covariance Matrices for Data on Rectangles
Description: Functions that compute the spatial covariance matrix for the matern and power classes of spatial models, for data that arise on rectangular units. This code can also be used for the change of support problem and for spatial data that arise on irregularly shaped regions like counties or zipcodes by laying a fine grid of rectangles and aggregating the integrals in a form of Riemann integration.
Author: David Clifford <david.clifford+CRAN@gmail.com>
Maintainer: David Clifford <david.clifford+CRAN@gmail.com>

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Package ramify updated to version 0.3.1 with previous version 0.3.0 dated 2015-06-07

Title: Additional Matrix Functionality
Description: Additional matrix functionality for R including: (1) wrappers for the base matrix function that allows matrices to be created from character strings and lists (the former is especially useful for creating block matrices), (ii) better printing of large matrices via a new generic function for "pretty" printing, and (iii) a number of convenience functions for users more familiar with other scientific languages like Julia, Matlab/Octave, or Python+NumPy.
Author: Brandon Greenwell [aut, cre]
Maintainer: Brandon Greenwell <greenwell.brandon@gmail.com>

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Package psych updated to version 1.5.6 with previous version 1.5.4 dated 2015-04-27

Title: Procedures for Psychological, Psychometric, and Personality Research
Description: A general purpose toolbox for personality, psychometrics and experimental psychology. Functions are primarily for multivariate analysis and scale construction using factor analysis, principal component analysis, cluster analysis and reliability analysis, although others provide basic descriptive statistics. Item Response Theory is done using factor analysis of tetrachoric and polychoric correlations. Functions for analyzing data at multi-levels include within and between group statistics, including correlations and factor analysis. Functions for simulating particular item and test structures are included. Several functions serve as a useful front end for structural equation modeling. Graphical displays of path diagrams, factor analysis and structural equation models are created using basic graphics. Some of the functions are written to support a book on psychometrics as well as publications in personality research. For more information, see the personality-project.org/r webpage.
Author: William Revelle <revelle@northwestern.edu>
Maintainer: William Revelle <revelle@northwestern.edu>

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Package polyapost updated to version 1.4-2 with previous version 1.1-6 dated 2014-04-22

Title: Simulating from the Polya Posterior
Description: Simulate via Markov chain Monte Carlo (hit-and-run algorithm) a Dirichlet distribution conditioned to satisfy a finite set of linear equality and inequality constraints (hence to lie in a convex polytope that is a subset of the unit simplex).
Author: Glen Meeden <glen@stat.umn.edu> and Radu Lazar <lazar@stat.umn.edu> and Charles J. Geyer <charlie@stat.umn.edu>
Maintainer: Glen Meeden <glen@stat.umn.edu>

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Package Matrix updated to version 1.2-2 with previous version 1.2-1 dated 2015-06-01

Title: Sparse and Dense Matrix Classes and Methods
Description: Classes and methods for dense and sparse matrices and operations on them using 'LAPACK' and 'SuiteSparse'.
Author: Douglas Bates <bates@stat.wisc.edu> and Martin Maechler
Maintainer: Martin Maechler <mmaechler+Matrix@gmail.com>

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Package LoopAnalyst updated to version 1.2-4 with previous version 1.2-3 dated 2013-07-10

Title: A Collection of Tools to Conduct Levins' Loop Analysis
Description: Loop analysis makes qualitative predictions of variable change in a system of causally interdependent variables, where "qualitative" means sign only (i.e. increases, decreases, non change, and ambiguous). This implementation includes output support for graphs in .dot file format for use with visualization software such as graphviz (graphviz.org). 'LoopAnalyst' provides tools for the construction and output of community matrices, computation and output of community effect matrices, tables of correlations, adjoint, absolute feedback, weighted feedback and weighted prediction matrices, change in life expectancy matrices, and feedback, path and loop enumeration tools.
Author: Alexis Dinno <alexis.dinno@pdx.edu>
Maintainer: Alexis Dinno <alexis.dinno@pdx.edu>

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Package fdrtool updated to version 1.2.15 with previous version 1.2.14 dated 2015-03-09

Title: Estimation of (Local) False Discovery Rates and Higher Criticism
Description: Estimates both tail area-based false discovery rates (Fdr) as well as local false discovery rates (fdr) for a variety of null models (p-values, z-scores, correlation coefficients, t-scores). The proportion of null values and the parameters of the null distribution are adaptively estimated from the data. In addition, the package contains functions for non-parametric density estimation (Grenander estimator), for monotone regression (isotonic regression and antitonic regression with weights), for computing the greatest convex minorant (GCM) and the least concave majorant (LCM), for the half-normal and correlation distributions, and for computing empirical higher criticism (HC) scores and the corresponding decision threshold.
Author: Bernd Klaus and Korbinian Strimmer.
Maintainer: Korbinian Strimmer <strimmerlab@gmail.com>

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Package enigma updated to version 0.2.0 with previous version 0.1.1 dated 2014-12-11

Title: Client for the 'Enigma' 'API'
Description: The company 'Enigma' (https://enigma.io) holds many public 'datasets' from governments, companies, universities, and organizations. 'Enigma' provides an 'API' for data, 'metadata', and statistics on each of the 'datasets'. 'enigma' is a client to interact with the 'Enigma' 'API', including getting the data and 'metadata' for 'datasets' in 'Enigma', as well as collecting statistics on 'datasets'. In addition, you can download a 'gzipped' 'csv' file of a 'dataset' if you want the whole 'dataset'. An 'API' key from 'Enigma' is required to use 'enigma'.
Author: Scott Chamberlain [aut, cre]
Maintainer: Scott Chamberlain <myrmecocystus@gmail.com>

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Package circlize updated to version 0.2.5 with previous version 0.2.4 dated 2015-03-20

Title: Circular Visualization in R
Description: Circular layout is an efficient way for the visualization of huge amounts of information. Here the circlize package provides an implementation of circular layout generation in R as well as an enhancement of available software. The flexibility of this package is based on the usage of low-level graphics functions such that self-defined high-level graphics can be easily implemented by users for specific purposes. Together with the seamless connection between the powerful computational and visual environment in R, circlize gives users more convenience and freedom to design figures for better understanding complex patterns behind multi-dimensional data.
Author: Zuguang Gu
Maintainer: Zuguang Gu <z.gu@dkfz.de>

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