Wed, 23 Nov 2016

Package XGR updated to version 1.0.5 with previous version 1.0.4 dated 2016-10-12

Title: Exploring Genomic Relations for Enhanced Interpretation Through Enrichment, Similarity, Network and Annotation Analysis
Description: The central goal of XGR is to provide a data interpretation system. It is designed to make a user-defined gene or SNP list (or genomic regions) more interpretable by comprehensively utilising ontology annotations and interaction networks to reveal relationships and enhance opportunities for biological discovery. XGR is unique in supporting a broad range of ontologies (including knowledge of biological and molecular functions, pathways, diseases and phenotypes - in both human and mouse) and different types of networks (including functional, physical and pathway interactions). There are two core functionalities of XGR. The first is to provide basic infrastructures for easy access to built-in ontologies and networks. The second is to support data interpretations via 1) enrichment analysis using either built-in or custom ontologies, 2) similarity analysis for calculating semantic similarity between genes (or SNPs) based on their ontology annotation profiles, 3) network analysis for identification of gene networks given a query list of (significant) genes, SNPs or genomic regions, and 4) annotation analysis for interpreting genomic regions using co-localised functional genomic annotations (such as open chromatin, epigenetic marks, TF binding sites and genomic segments) and using nearby gene annotations (by ontologies). Together with its web app, XGR aims to provide a user-friendly tool for exploring genomic relations at the gene, SNP and genomic region level.
Author: Hai Fang, Bogdan Knezevic, Katie L Burnham, Julian C Knight
Maintainer: Hai Fang <hfang@well.ox.ac.uk>

Diff between XGR versions 1.0.4 dated 2016-10-12 and 1.0.5 dated 2016-11-23

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Package SmartSVA updated to version 0.1.1 with previous version 0.1.0 dated 2016-11-13

Title: Implementation of Smart SVA
Description: Introduces a fast and efficient Surrogate Variable Analysis algorithm that captures variation of unknown sources (batch effects) for high-dimensional genomic data. The algorithm is based on the popular 'SVA' package and proposes a revision on it that achieves more than 10 times faster running time while trading no accuracy loss in return.
Author: Jun Chen <Chen.Jun2@mayo.edu>, Ehsan Behnam <behnamgh@usc.edu>
Maintainer: Jun Chen <Chen.Jun2@mayo.edu>

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Package rplos updated to version 0.6.4 with previous version 0.6.0 dated 2016-07-21

Title: Interface to the Search 'API' for 'PLoS' Journals
Description: A programmatic interface to the 'SOLR' based search 'API' (<http://api.plos.org/>) provided by the Public Library of Science journals to search their articles. Functions are included for searching for articles, retrieving articles, making plots, doing 'faceted' searches, 'highlight' searches, and viewing results of 'highlighted' searches in a browser.
Author: Scott Chamberlain [aut, cre], Carl Boettiger [aut], Karthik Ram [aut]
Maintainer: Scott Chamberlain <myrmecocystus@gmail.com>

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New package RDStreeboot with initial version 1.0
Package: RDStreeboot
Type: Package
Title: RDS Tree Bootstrap Method
Version: 1.0
Date: 2016-11-23
Author: Aaron J. Baraff
Maintainer: Aaron J. Baraff <ajbaraff@uw.edu>
Description: A tree bootstrap method for estimating uncertainty in respondent-driven samples (RDS). Quantiles are estimated by multilevel resampling in such a way that preserves the dependencies of and accounts for the high variability of the RDS process.
License: GPL-2 | GPL-3
NeedsCompilation: no
Packaged: 2016-11-23 22:32:10 UTC; ajbaraff
Repository: CRAN
Date/Publication: 2016-11-24 00:36:48

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Package party updated to version 1.1-1 with previous version 1.1-0 dated 2016-11-21

Title: A Laboratory for Recursive Partytioning
Description: A computational toolbox for recursive partitioning. The core of the package is ctree(), an implementation of conditional inference trees which embed tree-structured regression models into a well defined theory of conditional inference procedures. This non-parametric class of regression trees is applicable to all kinds of regression problems, including nominal, ordinal, numeric, censored as well as multivariate response variables and arbitrary measurement scales of the covariates. Based on conditional inference trees, cforest() provides an implementation of Breiman's random forests. The function mob() implements an algorithm for recursive partitioning based on parametric models (e.g. linear models, GLMs or survival regression) employing parameter instability tests for split selection. Extensible functionality for visualizing tree-structured regression models is available.
Author: Torsten Hothorn [aut, cre], Kurt Hornik [aut], Carolin Strobl [aut], Achim Zeileis [aut]
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

Diff between party versions 1.1-0 dated 2016-11-21 and 1.1-1 dated 2016-11-23

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Package ontologyIndex updated to version 2.3 with previous version 2.2 dated 2016-10-28

Title: Functions for Reading Ontologies into R
Description: Functions for reading ontologies into R as lists and manipulating sets of ontological terms.
Author: Daniel Greene <dg333@cam.ac.uk>
Maintainer: Daniel Greene <dg333@cam.ac.uk>

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Package oai updated to version 0.2.2 with previous version 0.2.0 dated 2016-02-06

Title: General Purpose 'Oai-PMH' Services Client
Description: A general purpose client to work with any 'OAI-PMH' (Open Archives Initiative Protocol for 'Metadata' Harvesting) service. The 'OAI-PMH' protocol is described at <http://www.openarchives.org/OAI/openarchivesprotocol.html>. Functions are provided to work with the 'OAI-PMH' verbs: 'GetRecord', 'Identify', 'ListIdentifiers', 'ListMetadataFormats', 'ListRecords', and 'ListSets'.
Author: Scott Chamberlain [aut, cre], Michal Bojanowski [aut]
Maintainer: Scott Chamberlain <myrmecocystus@gmail.com>

Diff between oai versions 0.2.0 dated 2016-02-06 and 0.2.2 dated 2016-11-23

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New package eMLEloglin with initial version 1.0
Package: eMLEloglin
Title: Fitting log-Linear Models in Sparse Contingency Tables
Version: 1.0
Date: 2016-11-21
Author: Matthew Friedlander
Maintainer: Matthew Friedlander <mattyf5@hotmail.com>
Depends: lpSolveAPI
Suggests: R.rsp
VignetteBuilder: R.rsp
Description: Log-linear modeling is a popular method for the analysis of contingency table data. When the table is sparse, the data can fall on the boundary of the convex support, and we say that "the MLE does not exist" in the sense that some parameters cannot be estimated. However, an extended MLE always exists, and a subset of the original parameters will be estimable. The 'eMLEloglin' package determines which sampling zeros contribute to the non-existence of the MLE. These problematic zero cells can be removed from the contingency table and the model can then be fit (as far as is possible) using the glm() function.
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2016-11-23 09:14:36 UTC; root
Repository: CRAN
Date/Publication: 2016-11-24 00:36:47

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Package dlsem updated to version 1.5 with previous version 1.4 dated 2016-10-03

Title: Distributed-Lag Structural Equation Modelling
Description: Inference functionalities for structural equation models with second-order polynomial and gamma lag shapes.
Author: Alessandro Magrini
Maintainer: Alessandro Magrini <magrini@disia.unifi.it>

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Package complexplus updated to version 2.0 with previous version 1.0 dated 2016-08-16

Title: Functions of Complex or Real Variable
Description: Extension of several functions to the complex domain, including the matrix exponential and logarithm, and the determinant.
Author: Albert Dorador and Uffe Høgsbro Thygesen
Maintainer: Albert Dorador <albert.dorador@estudiant.upc.edu>

Diff between complexplus versions 1.0 dated 2016-08-16 and 2.0 dated 2016-11-23

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Package rtkore updated to version 1.2.0 with previous version 1.1.0 dated 2016-06-13

Title: STK++ Core Library Integration to R using Rcpp
Description: STK++ (http://www.stkpp.org) is a collection of C++ classes for statistics, clustering, linear algebra, arrays (with an Eigen-like API), regression, dimension reduction, etc. The integration of the library to R is using Rcpp. The rtkore package includes the header files from the STK++ core library. All files contain only templated classes and/or inlined functions. STK++ is licensed under the GNU LGPL version 2 or later. rtkore (the stkpp integration into R) is licensed under the GNU GPL version 2 or later. See file LICENSE.note for details.
Author: Serge Iovleff [aut, cre], Parmeet Bhatia [ctb]
Maintainer: Serge Iovleff <serge.iovleff@stkpp.org>

Diff between rtkore versions 1.1.0 dated 2016-06-13 and 1.2.0 dated 2016-11-23

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More information about rtkore at CRAN
Permanent link

Package poppr updated to version 2.3.0 with previous version 2.2.1 dated 2016-08-29

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], Sydney E. Everhart [ctb, dtc], Jonah C. Brooks [aut], Stacy A. Krueger-Hadfield [ctb], Erik Sotka [ctb], Brian J. Knaus [ctb], Niklaus J. Grunwald [ths]
Maintainer: Zhian N. Kamvar <zkamvar@gmail.com>

Diff between poppr versions 2.2.1 dated 2016-08-29 and 2.3.0 dated 2016-11-23

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More information about poppr at CRAN
Permanent link

Package openair updated to version 2.0-0 with previous version 1.9-0 dated 2016-10-28

Title: Tools for the Analysis of Air Pollution Data
Description: Tools to analyse, interpret and understand air pollution data. Data are typically hourly time series and both monitoring data and dispersion model output can be analysed. Many functions can also be applied to other data, including meteorological and traffic data.
Author: David Carslaw [aut, cre], Karl Ropkins [aut]
Maintainer: David Carslaw <david.carslaw@york.ac.uk>

Diff between openair versions 1.9-0 dated 2016-10-28 and 2.0-0 dated 2016-11-23

 DESCRIPTION        |   13 
 MD5                |   34 
 NAMESPACE          |    4 
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 R/importAURN.R     |   15 
 R/importKCL.R      |   14 
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More information about openair at CRAN
Permanent link

Package gridsampler updated to version 0.6 with previous version 0.5 dated 2016-09-03

Title: A Simulation Tool to Determine the Required Sample Size for Repertory Grid Studies
Description: Simulation tool to facilitate determination of required sample size to achieve category saturation for studies using multiple repertory grids in conjunction with content analysis.
Author: Mark Heckmann [aut, cre], Lukas Burk [aut]
Maintainer: Mark Heckmann <heckmann.mark@gmail.com>

Diff between gridsampler versions 0.5 dated 2016-09-03 and 0.6 dated 2016-11-23

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More information about gridsampler at CRAN
Permanent link

Package ggtern updated to version 2.2.0 with previous version 2.1.4 dated 2016-07-21

Title: An Extension to 'ggplot2', for the Creation of Ternary Diagrams
Description: Extends the functionality of 'ggplot2', providing the capability to plot ternary diagrams for (subset of) the 'ggplot2' geometries. Additionally, 'ggtern' has implemented several NEW geometries which are unavailable to the standard 'ggplot2' release. For further examples and documentation, please proceed to the 'ggtern' website.
Author: Nicholas Hamilton [aut, cre]
Maintainer: Nicholas Hamilton <nick@ggtern.com>

Diff between ggtern versions 2.1.4 dated 2016-07-21 and 2.2.0 dated 2016-11-23

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Permanent link

Package nimble updated to version 0.6-2 with previous version 0.6-1 dated 2016-10-11

Title: Flexible BUGS-Compatible System for Hierarchical Statistical Modeling and Algorithm Development
Description: Flexible application of algorithms to models specified in the BUGS language. Algorithms can be written in the NIMBLE language and made available to any model.
Author: Perry de Valpine, Christopher Paciorek, Daniel Turek, Cliff Anderson- Bergman, Duncan Temple Lang
Maintainer: Christopher Paciorek <paciorek@stat.berkeley.edu>

Diff between nimble versions 0.6-1 dated 2016-10-11 and 0.6-2 dated 2016-11-23

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 NAMESPACE                                   |    9 
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Package synthpop updated to version 1.3-1 with previous version 1.3-0 dated 2016-10-24

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. For a description of the implemented method see Nowok, Raab and Dibben (2016) <http://doi.org/10.18637/jss.v074.i11>.
Author: Beata Nowok, Gillian M Raab, Joshua Snoke and Chris Dibben
Maintainer: Beata Nowok <beata.nowok@gmail.com>

Diff between synthpop versions 1.3-0 dated 2016-10-24 and 1.3-1 dated 2016-11-23

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More information about synthpop at CRAN
Permanent link

New package revdbayes with initial version 1.0.0
Package: revdbayes
Title: Ratio-of-Uniforms Sampling for Bayesian Extreme Value Analysis
Version: 1.0.0
Date: 2016-11-22
Authors@R: person(c("Paul", "J."), "Northrop", email = "p.northrop@ucl.ac.uk", role = c("aut", "cre", "cph"))
Description: Provides functions for the Bayesian analysis of extreme value models. The 'rust' package <https://cran.r-project.org/package=rust> is used to simulate a random sample from the required posterior distribution. The functionality of 'revdbayes' is similar to the 'evdbayes' package <https://cran.r-project.org/package=evdbayes>, which uses Markov Chain Monte Carlo (MCMC) methods for posterior simulation. See the 'revdbayes' website for more information, documentation and examples.
Imports: stats, graphics, methods, spatstat, rust (>= 1.1.0)
License: GPL (>= 2)
LazyData: TRUE
Depends: R (>= 3.3.1)
RoxygenNote: 5.0.1
Suggests: knitr, rmarkdown, testthat, devtools, evdbayes
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2016-11-23 11:15:37 UTC; paul
Author: Paul J. Northrop [aut, cre, cph]
Maintainer: Paul J. Northrop <p.northrop@ucl.ac.uk>
Repository: CRAN
Date/Publication: 2016-11-23 14:09:45

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Package mboost updated to version 2.7-0 with previous version 2.6-0 dated 2016-03-12

Title: Model-Based Boosting
Description: Functional gradient descent algorithm (boosting) for optimizing general risk functions utilizing component-wise (penalised) least squares estimates or regression trees as base-learners for fitting generalized linear, additive and interaction models to potentially high-dimensional data.
Author: Torsten Hothorn [aut], Peter Buehlmann [aut], Thomas Kneib [aut], Matthias Schmid [aut], Benjamin Hofner [aut, cre], Fabian Sobotka [ctb], Fabian Scheipl [ctb]
Maintainer: Benjamin Hofner <benjamin.hofner@pei.de>

Diff between mboost versions 2.6-0 dated 2016-03-12 and 2.7-0 dated 2016-11-23

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Package GGMselect updated to version 0.1-11 with previous version 0.1-10 dated 2015-08-26

Title: Gaussian Graphs Models Selection
Description: Graph estimation in Gaussian Graphical Models. The main functions return the adjacency matrix of an undirected graph estimated from a data matrix.
Author: Annie Bouvier, Christophe Giraud, Sylvie Huet, Verzelen N.
Maintainer: Annie Bouvier <Annie.Bouvier@inra.fr>

Diff between GGMselect versions 0.1-10 dated 2015-08-26 and 0.1-11 dated 2016-11-23

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More information about GGMselect at CRAN
Permanent link

Package CombinS updated to version 1.1-1 with previous version 1.1 dated 2015-02-24

Title: Construction Methods of some Series of PBIB Designs
Description: Series of partially balanced incomplete block designs (PBIB) based on the combinatory method (S) introduced in (Imane Rezgui et al, 2014) <doi:10.3844/jmssp.2014.45.48>; and it gives their associated U-type design.
Author: Mohamed Laib, Imane Rezgui, Zebida Gheribi-Aoulmi and Herve Monod
Maintainer: Mohamed Laib <laib.med@gmail.com>

Diff between CombinS versions 1.1 dated 2015-02-24 and 1.1-1 dated 2016-11-23

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Package RSelenium updated to version 1.5.0 with previous version 1.4.5 dated 2016-10-01

Title: R Bindings for Selenium WebDriver
Description: The RSelenium package provides a set of R bindings for the Selenium 2.0 WebDriver (see <https://seleniumhq.github.io/docs/wd.html> for more information) using the JsonWireProtocol (see <https://github.com/SeleniumHQ/selenium/wiki/JsonWireProtocol> for more information). Selenium 2.0 WebDriver allows driving a web browser natively as a user would either locally or on a remote machine using the Selenium server it marks a leap forward in terms of web browser automation. Selenium automates web browsers (commonly referred to as browsers). Using RSelenium you can automate browsers locally or remotely.
Author: John Harrison <johndharrison0@gmail.com>
Maintainer: John Harrison <johndharrison0@gmail.com>

Diff between RSelenium versions 1.4.5 dated 2016-10-01 and 1.5.0 dated 2016-11-23

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New package robets with initial version 1.0
Package: robets
Type: Package
Title: Forecasting Time Series with Robust Exponential Smoothing
Version: 1.0
Date: 2016-11-23
Authors@R: c(person("Ruben","Crevits",role=c("aut","cre"),email = "ruben.crevits@kuleuven.be"))
Author: Ruben Crevits [aut, cre]
Maintainer: Ruben Crevits <ruben.crevits@kuleuven.be>
Description: We provide an outlier robust alternative of the function ets() in the 'forecast' package of Hyndman and Khandakar (2008)<DOI:10.18637/jss.v027.i03>. For each method of a class of exponential smoothing variants we made a robust alternative. The class includes methods with a damped trend and/or seasonal components. The robust method is developed by robustifying every aspect of the original exponential smoothing variant. We provide robust forecasting equations, robust initial values, robust smoothing parameter estimation and a robust information criterion. The method is described in more detail in Crevits and Croux (2016)<DOI:10.13140/RG.2.2.11791.18080>.
License: GPL (>= 2)
Depends: R (>= 3.1.1)
Imports: Rcpp (>= 0.12.2), forecast
LinkingTo: Rcpp
LazyData: true
BugReports: https://github.com/RubenCrevits/robets/issues
URL: http://github.com/RubenCrevits/robets
RoxygenNote: 5.0.1
NeedsCompilation: yes
Packaged: 2016-11-23 09:08:47 UTC; u0099245
Repository: CRAN
Date/Publication: 2016-11-23 12:06:41

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Package OpenML updated to version 1.1 with previous version 1.0 dated 2016-11-12

Title: Exploring Machine Learning Better, Together
Description: 'OpenML.org' is an online machine learning platform where researchers can automatically share data, machine learning tasks and experiments and organize them online to work and collaborate more effectively. We provide a R interface to the OpenML REST API in order to download and upload data sets, tasks, flows and runs, see <http://www.openml.org/guide> for more information.
Author: Giuseppe Casalicchio <giuseppe.casalicchio@stat.uni-muenchen.de>, Bernd Bischl <bernd_bischl@gmx.net>, Dominik Kirchhoff <dom.kirchhoff@gmail.com>, Michel Lang <michellang@gmail.com>, Benjamin Hofner <benjamin.hofner@fau.de>, Jakob Bossek <j.bossek@gmail.com>, Pascal Kerschke <kerschke@uni-muenster.de>, Joaquin Vanschoren <joaquin.vanschoren@gmail.com>
Maintainer: Giuseppe Casalicchio <giuseppe.casalicchio@stat.uni-muenchen.de>

Diff between OpenML versions 1.0 dated 2016-11-12 and 1.1 dated 2016-11-23

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Package survMisc updated to version 0.5.4 with previous version 0.5.3 dated 2016-07-07

Title: Miscellaneous Functions for Survival Data
Description: A collection of functions to help in the analysis of right-censored survival data. These extend the methods available in package:survival.
Author: Chris Dardis
Maintainer: Chris Dardis <christopherdardis@gmail.com>

Diff between survMisc versions 0.5.3 dated 2016-07-07 and 0.5.4 dated 2016-11-23

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New package SpaCCr with initial version 0.1.0
Package: SpaCCr
Type: Package
Title: Spatial Convex Clustering
Version: 0.1.0
Author: John Nagorski
Maintainer: John Nagorski<jn13@rice.edu>
Description: Genomic Region Detection via Spatial Convex Clustering. See <https://arxiv.org/abs/1611.04696> for details.
Depends: R (>= 2.10)
License: GPL-3
LazyData: TRUE
LinkingTo: Rcpp, RcppArmadillo
Imports: abind, dplyr, ggplot2, parallel, Rcpp, tidyr
RoxygenNote: 5.0.1
Suggests: testthat
NeedsCompilation: yes
Packaged: 2016-11-22 23:56:56 UTC; john
Repository: CRAN
Date/Publication: 2016-11-23 09:38:35

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Package pushoverr updated to version 1.0.0 with previous version 0.1.4 dated 2014-11-06

Title: Send Push Notifications using Pushover
Description: Send push notifications to mobile devices or the desktop using Pushover. These notifications can display job status, results, scraped web data, or any other text or numeric data.
Author: Brian Connelly [aut, cre]
Maintainer: Brian Connelly <bdc@bconnelly.net>

Diff between pushoverr versions 0.1.4 dated 2014-11-06 and 1.0.0 dated 2016-11-23

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More information about pushoverr at CRAN
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Package pumilioR updated to version 1.3.1 with previous version 1.3 dated 2014-04-14

Title: Pumilio in R
Description: R package to query and get data out of a Pumilio sound archive system (http://ljvillanueva.github.io/pumilio/).
Author: Luis J. Villanueva-Rivera
Maintainer: Luis J. Villanueva-Rivera <ljvillanueva@coquipr.com>

Diff between pumilioR versions 1.3 dated 2014-04-14 and 1.3.1 dated 2016-11-23

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Package ph2mult updated to version 0.1.1 with previous version 0.1.0 dated 2016-08-21

Title: Phase II Clinical Trial Design for Multinomial Endpoints
Description: Provide multinomial design methods under intersection-union test (IUT) and union-intersection test (UIT) scheme for Phase II trial. The design types include : Minimax (minimize the maximum sample size), Optimal (minimize the expected sample size), Admissible (minimize the Bayesian risk) and Maxpower (maximize the exact power level).
Author: Yalin Zhu, Rui Qin
Maintainer: Yalin Zhu <yalin.zhu@outlook.com>

Diff between ph2mult versions 0.1.0 dated 2016-08-21 and 0.1.1 dated 2016-11-23

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Package outbreaks updated to version 1.1.0 with previous version 1.0.0 dated 2016-10-31

Title: A Collection of Disease Outbreak Data
Description: Empirical or simulated disease outbreak data, provided either as RData or as text files.
Author: Thibaut Jombart [aut], Simon Frost [aut], Pierre Nouvellet [aut], Finlay Campbell [aut, cre]
Maintainer: Finlay Campbell <f.campbell15@imperial.ac.uk>

Diff between outbreaks versions 1.0.0 dated 2016-10-31 and 1.1.0 dated 2016-11-23

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Package epistasis updated to version 0.0.1-1 with previous version 0.0.0-1 dated 2016-11-07

Title: Detecting Epistatic Selection with Partially Observed Genotype Data
Description: An efficient multi-core package to reconstruct an underlying network of genomic signatures of high-dimensional epistatic selection from partially observed genotype data. The phenotype that we consider is viability. The network captures the conditional dependent short- and long-range linkage disequilibrium structure of genomes and thus reveals aberrant marker-marker associations that are due to epistatic selection. We target on high-dimensional genotype data where number of variables (markers) is larger than number of sample sizes (p >> n). The computations is memory-optimized using the sparse matrix output.
Author: Pariya Behrouzi, Danny Arends and Ernst C. Wit
Maintainer: Pariya Behrouzi <pariya.behrouzi@gmail.com>

Diff between epistasis versions 0.0.0-1 dated 2016-11-07 and 0.0.1-1 dated 2016-11-23

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Package discretecdAlgorithm updated to version 0.0.2 with previous version 0.0.1 dated 2016-08-11

Title: Coordinate-Descent Algorithm for Discrete Data
Description: Structure learning of Bayesian network using coordinate-descent algorithm. This algorithm is designed for discrete network assuming a multinomial data set, and we use a multi-logit model to do the regression. The algorithm is described in Gu, Fu and Zhou (2016) <http://arxiv.org/abs/1403.2310>.
Author: Jiaying Gu [aut, cre]
Maintainer: Jiaying Gu <gujy.lola@gmail.com>

Diff between discretecdAlgorithm versions 0.0.1 dated 2016-08-11 and 0.0.2 dated 2016-11-23

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 R/lambda.R                            |    2 
 README.md                             |   14 
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Package d3r updated to version 0.5.0 with previous version 0.4.0 dated 2016-10-13

Title: 'd3.js' Utilities for R
Description: Helper functions for using 'd3.js' in R.
Author: Mike Bostock [aut, cph] (d3.js library in htmlwidgets/lib, http://d3js.org), Kent Russell [aut, cre] (R interface)
Maintainer: Kent Russell <kent.russell@timelyportfolio.com>

Diff between d3r versions 0.4.0 dated 2016-10-13 and 0.5.0 dated 2016-11-23

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