Wed, 17 Feb 2016

Package shiny updated to version 0.13.1 with previous version 0.13.0 dated 2016-01-12

Title: Web Application Framework for R
Description: Makes it incredibly easy to build interactive web applications with R. Automatic "reactive" binding between inputs and outputs and extensive pre-built widgets make it possible to build beautiful, responsive, and powerful applications with minimal effort.
Author: Winston Chang [aut, cre], Joe Cheng [aut], JJ Allaire [aut], Yihui Xie [aut], Jonathan McPherson [aut], RStudio [cph], jQuery Foundation [cph] (jQuery library and jQuery UI library), jQuery contributors [ctb, cph] (jQuery library; authors listed in inst/www/shared/jquery-AUTHORS.txt), jQuery UI contributors [ctb, cph] (jQuery UI library; authors listed in inst/www/shared/jqueryui/1.10.4/AUTHORS.txt), Mark Otto [ctb] (Bootstrap library), Jacob Thornton [ctb] (Bootstrap library), Bootstrap contributors [ctb] (Bootstrap library), Twitter, Inc [cph] (Bootstrap library), Alexander Farkas [ctb, cph] (html5shiv library), Scott Jehl [ctb, cph] (Respond.js library), Stefan Petre [ctb, cph] (Bootstrap-datepicker library), Andrew Rowls [ctb, cph] (Bootstrap-datepicker library), Dave Gandy [ctb, cph] (Font-Awesome font), Brian Reavis [ctb, cph] (selectize.js library), Kristopher Michael Kowal [ctb, cph] (es5-shim library), es5-shim contributors [ctb, cph] (es5-shim library), Denis Ineshin [ctb, cph] (ion.rangeSlider library), Sami Samhuri [ctb, cph] (Javascript strftime library), SpryMedia Limited [ctb, cph] (DataTables library), John Fraser [ctb, cph] (showdown.js library), John Gruber [ctb, cph] (showdown.js library), Ivan Sagalaev [ctb, cph] (highlight.js library), R Core Team [ctb, cph] (tar implementation from R)
Maintainer: Winston Chang <winston@rstudio.com>

Diff between shiny versions 0.13.0 dated 2016-01-12 and 0.13.1 dated 2016-02-17

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 MD5                          |   18 ++++++++---------
 NEWS                         |   13 ++++++++++++
 R/bootstrap-layout.R         |    2 +
 R/reactives.R                |    4 ---
 R/utils.R                    |   45 ++++++++++++++-----------------------------
 inst/doc/events.html         |    4 +--
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 man/exprToFunction.Rd        |    6 -----
 10 files changed, 63 insertions(+), 60 deletions(-)

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Package R.oo updated to version 1.20.0 with previous version 1.19.0 dated 2015-02-27

Title: R Object-Oriented Programming with or without References
Description: Methods and classes for object-oriented programming in R with or without references. Large effort has been made on making definition of methods as simple as possible with a minimum of maintenance for package developers. The package has been developed since 2001 and is now considered very stable. This is a cross-platform package implemented in pure R that defines standard S3 classes without any tricks.
Author: Henrik Bengtsson [aut, cre, cph]
Maintainer: Henrik Bengtsson <henrikb@braju.com>

Diff between R.oo versions 1.19.0 dated 2015-02-27 and 1.20.0 dated 2016-02-17

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 35 files changed, 369 insertions(+), 180 deletions(-)

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New package rcbsubset with initial version 1.1
Package: rcbsubset
Type: Package
Title: Optimal Subset Matching with Refined Covariate Balance
Version: 1.1
Date: 2016-02-17
Author: Samuel D. Pimentel
Maintainer: Samuel D. Pimentel <spi@wharton.upenn.edu>
Description: Tools for optimal subset matching of treated units and control units in observational studies, with support for refined covariate balance constraints, (including fine and near-fine balance as special cases). A close relative is the 'rcbalance' package.
Depends: R (>= 3.2.0), MASS, plyr
License: MIT + file LICENSE
Suggests: rcbalance, optmatch, testthat
NeedsCompilation: no
Packaged: 2016-02-17 19:35:39 UTC; sdbpimentel
Repository: CRAN
Date/Publication: 2016-02-17 22:09:47

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Package envlpaster updated to version 0.1-2 with previous version 0.1-1 dated 2015-12-16

Title: Enveloping the Aster Model
Description: Envelope methodology and aster modeling are combined to provide users with precise estimation of expected Darwinian fitness.
Author: Daniel J. Eck <eckxx049@umn.edu>
Maintainer: Daniel J. Eck <eckxx049@umn.edu>

Diff between envlpaster versions 0.1-1 dated 2015-12-16 and 0.1-2 dated 2016-02-17

 DESCRIPTION             |    8 ++---
 MD5                     |   34 +++++++++++++-----------
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Package entropart updated to version 1.4-5 with previous version 1.4-4 dated 2016-01-13

Title: Entropy Partitioning to Measure Diversity
Description: Measurement and partitioning of diversity, based on Tsallis entropy.
Author: Eric Marcon, Bruno Herault
Maintainer: Eric Marcon <Eric.Marcon@ecofog.gf>

Diff between entropart versions 1.4-4 dated 2016-01-13 and 1.4-5 dated 2016-02-17

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Package curl updated to version 0.9.6 with previous version 0.9.5 dated 2016-01-23

Title: A Modern and Flexible Web Client for R
Description: The curl() and curl_download() functions provide highly configurable drop-in replacements for base url() and download.file() with better performance, support for encryption (https, ftps), gzip compression, authentication, and other libcurl goodies. The core of the package implements a framework for performing fully customized requests where data can be processed either in memory, on disk, or streaming via the callback or connection interfaces. Some knowledge of libcurl is recommended; for a more-user-friendly web client see the 'httr' package which builds on this package with http specific tools and logic.
Author: Jeroen Ooms [cre, aut], Hadley Wickham [ctb], RStudio [cph]
Maintainer: Jeroen Ooms <jeroen.ooms@stat.ucla.edu>

Diff between curl versions 0.9.5 dated 2016-01-23 and 0.9.6 dated 2016-02-17

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 15 files changed, 61 insertions(+), 51 deletions(-)

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New package asaur with initial version 0.44
Package: asaur
Type: Package
Title: Data Sets for "Applied Survival Analysis Using R""
Version: 0.44
Date: 2016-02-17
Author: Dirk F. Moore
Description: Data sets are referred to in the text "Applied Survival Analysis Using R" by Dirk F. Moore, to be published by Springer in 2016.
Maintainer: Dirk F. Moore <dirkfmoore@gmail.com>
License: LGPL-2
Repository: CRAN
NeedsCompilation: no
Packaged: 2016-02-17 17:08:03 UTC; mooredf
Date/Publication: 2016-02-17 22:32:59

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New package archivist.github with initial version 0.1
Package: archivist.github
Version: 0.1
Type: Package
Title: Tools for Archiving, Managing and Sharing R Objects via GitHub
Authors@R: c( person("Przemyslaw", "Biecek", role = c("aut"), email = "przemyslaw.biecek@gmail.com"), person("Marcin", "Kosinski", role = c("aut", "cre"), email = "m.p.kosinski@gmail.com") )
Description: The extension of the 'archivist' package integrating the archivist with GitHub via GitHub API, 'git2r' packages and 'httr' package.
Repository: CRAN
License: GPL-2
LazyLoad: yes
LazyData: yes
Depends: R (>= 3.2.0), archivist
Imports: httr, git2r, jsonlite, digest
BugReports: https://github.com/MarcinKosinski/archivist.github/issues
URL: http://marcinkosinski.github.io/archivist.github/
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-02-17 16:42:38 UTC; mkosinski
Author: Przemyslaw Biecek [aut], Marcin Kosinski [aut, cre]
Maintainer: Marcin Kosinski <m.p.kosinski@gmail.com>
Date/Publication: 2016-02-17 22:10:36

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Package WaterML updated to version 1.7.0 with previous version 1.6.0 dated 2016-01-26

Title: Fetch and Analyze Data from 'WaterML' and 'WaterOneFlow' Web Services
Description: Lets you connect to any of the Consortium of Universities for the Advancement of Hydrologic Sciences, Inc. ('CUAHSI') Water Data Center 'WaterOneFlow' web services and read any 'WaterML' hydrological time series data file. To see list of available web services, see <http://hiscentral.cuahsi.org>. All versions of 'WaterML' (1.0, 1.1 and 2.0) and both types of the web service protocol ('SOAP' and 'REST') are supported. The package has six data download functions: GetServices(): show all public web services from the HIS Central Catalog. HISCentral_GetSites() and HISCentral_GetSeriesCatalog(): search for sites or time series from the HIS Central catalog based on geographic bounding box, server, or keyword. GetVariables(): Show a data.frame with all variables on the server. GetSites(): Show a data.frame with all sites on the server. GetSiteInfo(): Show what variables, methods and quality control levels are available at the specific site. GetValues(): Given a site code, variable code, start time and end time, fetch a data.frame of all the observation time series data values. The GetValues() function can also parse 'WaterML' data from a custom URL or from a local file. The package also has five data upload functions: AddSites(), AddVariables(), AddMethods(), AddSources(), and AddValues(). These functions can be used for uploading data to a 'HydroServer Lite' Observations Data Model ('ODM') database via the 'JSON' data upload web service interface.
Author: Jiri Kadlec [aut, cre]
Maintainer: Jiri Kadlec <jirikadlec2@gmail.com>

Diff between WaterML versions 1.6.0 dated 2016-01-26 and 1.7.0 dated 2016-02-17

 DESCRIPTION                    |   46 ++++++++++++++----------------
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 5 files changed, 81 insertions(+), 54 deletions(-)

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Package topicmodels updated to version 0.2-3 with previous version 0.2-2 dated 2015-07-01

Title: Topic Models
Description: Provides an interface to the C code for Latent Dirichlet Allocation (LDA) models and Correlated Topics Models (CTM) by David M. Blei and co-authors and the C++ code for fitting LDA models using Gibbs sampling by Xuan-Hieu Phan and co-authors.
Author: Bettina Grün [aut, cre], Kurt Hornik [aut]
Maintainer: Bettina Grün <Bettina.Gruen@jku.at>

Diff between topicmodels versions 0.2-2 dated 2015-07-01 and 0.2-3 dated 2016-02-17

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 15 files changed, 109 insertions(+), 54 deletions(-)

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Package tolerance updated to version 1.2.0 with previous version 1.1.1 dated 2015-12-11

Title: Functions for Calculating Tolerance Intervals
Description: Statistical tolerance limits provide the limits between which we can expect to find a specified proportion of a sampled population with a given level of confidence. This package provides functions for estimating tolerance limits for various distributions. Plotting is also available for tolerance limits of continuous random variables.
Author: Derek S. Young [aut, cre]
Maintainer: Derek S. Young <derek.young@uky.edu>

Diff between tolerance versions 1.1.1 dated 2015-12-11 and 1.2.0 dated 2016-02-17

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 27 files changed, 394 insertions(+), 353 deletions(-)

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Package LLSR updated to version 0.0.2.0 with previous version 0.0.1.9525 dated 2015-08-10

Title: Data Analysis of Liquid-Liquid Systems
Description: Analyses experimental data from liquid-liquid phase diagrams and provide a simple way to obtain its parameters and a simplified report. Designed initially to analyse Aqueous Two-Phases Systems, the package will include (every other update) new functions in order to comprise useful tools in liquid-liquid analysis.
Author: Diego F Coelho <diegofcoelho@gmail.com>
Maintainer: Diego F Coelho <diegofcoelho@gmail.com>

Diff between LLSR versions 0.0.1.9525 dated 2015-08-10 and 0.0.2.0 dated 2016-02-17

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Package GGEBiplotGUI updated to version 1.0-9 with previous version 1.0-8 dated 2014-04-28

Title: Interactive GGE Biplots in R
Description: Description: A GUI with which to construct and interact with GGE biplots.
Author: Elisa Frutos Bernal <efb@usal.es>, Purificacion Galindo Villardon <pgalindo@usal.es>
Maintainer: Elisa Frutos Bernal <efb@usal.es>

Diff between GGEBiplotGUI versions 1.0-8 dated 2014-04-28 and 1.0-9 dated 2016-02-17

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Package synchronicity updated to version 1.1.9.1 with previous version 1.1.9 dated 2015-11-09

Title: Boost Mutex Functionality in R
Description: Boost mutex functionality in R.
Author: Michael J. Kane <kaneplusplus@gmail.com>
Maintainer: Michael J. Kane <bigmemoryauthors@gmail.com>

Diff between synchronicity versions 1.1.9 dated 2015-11-09 and 1.1.9.1 dated 2016-02-17

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New package permPATH with initial version 0.1
Package: permPATH
Type: Package
Title: Permutation-Based Gene Expression Pathway Analyses
Version: 0.1
Date: 2016-02-16
Authors@R: c(person(c("Ivo", "D."), "Shterev", role = c("aut", "cre"), email = "i.shterev@duke.edu"), person("Kouros", "Owzar", role = "aut"), person(c("Gregory", "D."), "Sempowski", role = "aut"), person("Kenneth", "Wilder", role = c("ctb", "cph"), comment="wrote ranker.h"))
OS_type: unix
Description: Can be used to carry out permutation-based gene expression pathway analyses.
Depends: R (>= 2.15.3), R2HTML (>= 2.3.1), xtable (>= 1.8-2)
VignetteBuilder: knitr
Suggests: knitr
License: GPL-3
LazyLoad: yes
NeedsCompilation: yes
Packaged: 2016-02-17 14:34:52 UTC; is33
Author: Ivo D. Shterev [aut, cre], Kouros Owzar [aut], Gregory D. Sempowski [aut], Kenneth Wilder [ctb, cph] (wrote ranker.h)
Maintainer: Ivo D. Shterev <i.shterev@duke.edu>
Repository: CRAN
Date/Publication: 2016-02-17 16:15:35

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Package multcomp updated to version 1.4-4 with previous version 1.4-3 dated 2016-02-03

Title: Simultaneous Inference in General Parametric Models
Description: Simultaneous tests and confidence intervals for general linear hypotheses in parametric models, including linear, generalized linear, linear mixed effects, and survival models. The package includes demos reproducing analyzes presented in the book "Multiple Comparisons Using R" (Bretz, Hothorn, Westfall, 2010, CRC Press).
Author: Torsten Hothorn [aut, cre], Frank Bretz [aut], Peter Westfall [aut], Richard M. Heiberger [ctb], Andre Schuetzenmeister [ctb], Susan Scheibe [ctb]
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

Diff between multcomp versions 1.4-3 dated 2016-02-03 and 1.4-4 dated 2016-02-17

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Package MBESS updated to version 4.0.0 with previous version 3.3.3 dated 2012-12-17

Title: The MBESS R Package
Description: Implements methods that useful in designing research and analyzing data, with particular emphasis on methods that are developed for or used within the behavioral, educational, and social sciences (broadly defined). That being said, many of the methods implemented within MBESS are applicable to a wide variety of disciplines. MBESS has a suite of functions for a variety of related topics, such as effect sizes, confidence intervals for effect sizes (including standardized effect sizes and noncentral effect sizes), sample size planning (from the accuracy in parameter estimation [AIPE], power analytic, equivalence, and minimum-risk point estimation perspectives), mediation analysis, various properties of distributions, and a variety of utility functions. MBESS (pronounced ``em-bes'') was originally an acronym for "Methods for the Behavioral, Educational, and Social Sciences," but at this point MBESS contains methods applicable and used in a wide variety of fields and is an orphan acronym, in the sense that what was an acronym is now literally its name. MBESS has greatly benefited from others, see <http://nd.edu/~kkelley/site/MBESS.html> for a detailed list of those that have contributed and other details.
Author: Ken Kelley [aut, cre]
Maintainer: Ken Kelley <kkelley@nd.edu>

Diff between MBESS versions 3.3.3 dated 2012-12-17 and 4.0.0 dated 2016-02-17

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 MBESS-4.0.0/MBESS/NAMESPACE                             |   14 
 MBESS-4.0.0/MBESS/R/CFA.1.R                             |  218 -
 MBESS-4.0.0/MBESS/R/Expected.R2.R                       |   20 
 MBESS-4.0.0/MBESS/R/Variance.R2.R                       |   21 
 MBESS-4.0.0/MBESS/R/ancova.random.data.R                |   55 
 MBESS-4.0.0/MBESS/R/ci.R2.R                             |  395 +-
 MBESS-4.0.0/MBESS/R/ci.c.R                              |  101 
 MBESS-4.0.0/MBESS/R/ci.c.ancova.R                       |   48 
 MBESS-4.0.0/MBESS/R/ci.reliability.R                    | 1651 ++++++++----
 MBESS-4.0.0/MBESS/R/ci.rmsea.R                          |   18 
 MBESS-4.0.0/MBESS/R/ci.sc.R                             |  132 
 MBESS-4.0.0/MBESS/R/ci.sc.ancova.R                      |  106 
 MBESS-4.0.0/MBESS/R/conf.limits.nc.chisq.R              |    2 
 MBESS-4.0.0/MBESS/R/conf.limits.nct.R                   |  278 +-
 MBESS-4.0.0/MBESS/R/cor2cov.R                           |    2 
 MBESS-4.0.0/MBESS/R/cv.R                                |    7 
 MBESS-4.0.0/MBESS/R/mediation.R                         |  893 +++---
 MBESS-4.0.0/MBESS/R/mediation.effect.plot.R             |    3 
 MBESS-4.0.0/MBESS/R/mr.cv.R                             |only
 MBESS-4.0.0/MBESS/R/mr.smd.R                            |only
 MBESS-4.0.0/MBESS/R/ss.aipe.R2.R                        | 1090 +++----
 MBESS-4.0.0/MBESS/R/ss.aipe.R2.sensitivity.R            |  284 --
 MBESS-4.0.0/MBESS/R/ss.aipe.c.ancova.R                  |   99 
 MBESS-4.0.0/MBESS/R/ss.aipe.c.ancova.sensitivity.R      |  256 -
 MBESS-4.0.0/MBESS/R/ss.aipe.reg.coef.R                  |  504 +--
 MBESS-4.0.0/MBESS/R/ss.aipe.reg.coef.sensitivity.R      |  237 -
 MBESS-4.0.0/MBESS/R/ss.aipe.reliability.R               | 1050 ++++---
 MBESS-4.0.0/MBESS/R/ss.aipe.rmsea.sensitivity.R         |   19 
 MBESS-4.0.0/MBESS/R/ss.aipe.sc.ancova.R                 |  388 +-
 MBESS-4.0.0/MBESS/R/ss.aipe.sc.ancova.sensitivity.R     |  600 ++--
 MBESS-4.0.0/MBESS/R/ss.aipe.sem.path.R                  |   96 
 MBESS-4.0.0/MBESS/R/ss.aipe.sem.path.sensitiv.R         |  120 
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 MBESS-4.0.0/MBESS/R/vit.fitted.R                        |  595 ++--
 MBESS-4.0.0/MBESS/R/widthsscrd.R                        | 2194 +++++++++-------
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 MBESS-4.0.0/MBESS/man/Expected.R2.Rd                    |    6 
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 MBESS-4.0.0/MBESS/man/ancova.random.data.Rd             |   91 
 MBESS-4.0.0/MBESS/man/ci.R.Rd                           |  159 -
 MBESS-4.0.0/MBESS/man/ci.R2.Rd                          |   18 
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 MBESS-4.0.0/MBESS/man/ci.c.ancova.Rd                    |   31 
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 MBESS-4.0.0/MBESS/man/ci.pvaf.Rd                        |   12 
 MBESS-4.0.0/MBESS/man/ci.rc.Rd                          |    8 
 MBESS-4.0.0/MBESS/man/ci.reg.coef.Rd                    |    8 
 MBESS-4.0.0/MBESS/man/ci.reliability.Rd                 |  140 -
 MBESS-4.0.0/MBESS/man/ci.rmsea.Rd                       |   70 
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 MBESS-4.0.0/MBESS/man/ci.sc.ancova.Rd                   |   68 
 MBESS-4.0.0/MBESS/man/ci.sm.Rd                          |  121 
 MBESS-4.0.0/MBESS/man/ci.smd.Rd                         |  141 -
 MBESS-4.0.0/MBESS/man/ci.smd.c.Rd                       |   16 
 MBESS-4.0.0/MBESS/man/ci.snr.Rd                         |  137 
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 MBESS-4.0.0/MBESS/man/ci.srsnr.Rd                       |    4 
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 MBESS-4.0.0/MBESS/man/conf.limits.ncf.Rd                |  104 
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 MBESS-4.0.0/MBESS/man/intr.plot.2d.Rd                   |    4 
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 MBESS-4.0.0/MBESS/man/prof.salary.Rd                    |   64 
 MBESS-4.0.0/MBESS/man/s.u.Rd                            |    2 
 MBESS-4.0.0/MBESS/man/smd.Rd                            |    8 
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 MBESS-4.0.0/MBESS/man/ss.aipe.c.ancova.sensitivity.Rd   |    2 
 MBESS-4.0.0/MBESS/man/ss.aipe.cv.Rd                     |    4 
 MBESS-4.0.0/MBESS/man/ss.aipe.pcm.Rd                    |    2 
 MBESS-4.0.0/MBESS/man/ss.aipe.rc.Rd                     |    3 
 MBESS-4.0.0/MBESS/man/ss.aipe.reg.coef.Rd               |    4 
 MBESS-4.0.0/MBESS/man/ss.aipe.reg.coef.sensitivity.Rd   |    9 
 MBESS-4.0.0/MBESS/man/ss.aipe.reliability.Rd            |   77 
 MBESS-4.0.0/MBESS/man/ss.aipe.rmsea.Rd                  |    3 
 MBESS-4.0.0/MBESS/man/ss.aipe.rmsea.sensitivity.Rd      |    2 
 MBESS-4.0.0/MBESS/man/ss.aipe.sc.Rd                     |    6 
 MBESS-4.0.0/MBESS/man/ss.aipe.sc.ancova.Rd              |    4 
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 MBESS-4.0.0/MBESS/man/ss.aipe.sc.sensitivity.Rd         |    4 
 MBESS-4.0.0/MBESS/man/ss.aipe.sem.path.Rd               |    2 
 MBESS-4.0.0/MBESS/man/ss.aipe.sem.path.sensitiv.Rd      |    4 
 MBESS-4.0.0/MBESS/man/ss.aipe.sm.Rd                     |    6 
 MBESS-4.0.0/MBESS/man/ss.aipe.sm.sensitivity.Rd         |   14 
 MBESS-4.0.0/MBESS/man/ss.aipe.smd.Rd                    |    6 
 MBESS-4.0.0/MBESS/man/ss.aipe.smd.sensitivity.Rd        |   10 
 MBESS-4.0.0/MBESS/man/ss.aipe.src.Rd                    |    4 
 MBESS-4.0.0/MBESS/man/ss.aipe.src.sensitivity.Rd        |    4 
 MBESS-4.0.0/MBESS/man/ss.power.R2.Rd                    |    2 
 MBESS-4.0.0/MBESS/man/ss.power.pcm.Rd                   |   20 
 MBESS-4.0.0/MBESS/man/ss.power.rc.Rd                    |    2 
 MBESS-4.0.0/MBESS/man/ss.power.reg.coef.Rd              |    4 
 MBESS-4.0.0/MBESS/man/ss.power.sem.Rd                   |only
 MBESS-4.0.0/MBESS/man/ssAIPECRD.Rd                      |   57 
 MBESS-4.0.0/MBESS/man/ssAIPECRDES.Rd                    |  307 +-
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 MBESS-4.0.0/MBESS/man/vit.Rd                            |  174 -
 MBESS-4.0.0/MBESS/man/vit.fitted.Rd                     |    4 
 137 files changed, 8132 insertions(+), 6685 deletions(-)

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New package GenCAT with initial version 1.0.2
Package: GenCAT
Type: Package
Title: Genetic Class Association Testing
Version: 1.0.2
Date: 2016-01-29
Author: Eric Reed, Sara Nunez, Jing Qian, Andrea Foulkes
Maintainer: Eric Reed <reeder@bu.edu>
Description: Implementation of the genetic class level association testing (GenCAT) method from SNP level association data. Refer to: "Qian, J., Reed, E., Nunez, S., Qu, L., Reilly, M., Foulkes, A. (2016) Testing class-level genetic associations using single-element summary statistics. (Under review).".
License: GPL-2
Suggests: snpStats, knitr
Depends: R (>= 2.10), stats, dplyr, doParallel, ggplot2, foreach, parallel, methods
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2016-02-17 13:27:28 UTC; ericreed
Repository: CRAN
Date/Publication: 2016-02-17 17:06:52

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Package Libra updated to version 1.5 with previous version 1.4 dated 2015-11-18

Title: Linearized Bregman Algorithms for Generalized Linear Models
Description: Efficient procedures for fitting the regularization path for linear, binomial, multinomial, Ising and Potts models with lasso, group lasso or column lasso(only for multinomial) penalty. The package uses Linearized Bregman Algorithm to solve the regularization path through iterations. Bregman Inverse Scale Space Differential Inclusion solver is also provided for linear model with lasso penalty.
Author: Feng Ruan, Jiechao Xiong and Yuan Yao
Maintainer: Jiechao Xiong <xiongjiechao@pku.edu.cn>

Diff between Libra versions 1.4 dated 2015-11-18 and 1.5 dated 2016-02-17

 DESCRIPTION           |   10 -
 MD5                   |   49 ++++----
 NAMESPACE             |    4 
 R/cv.lb.R             |   26 +++-
 R/ggm.R               |only
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 R/lb.R                |  298 ++++++++++++++++++--------------------------------
 R/plot.lb.R           |    2 
 R/potts.R             |   78 ++++---------
 R/predict.lb.R        |    8 -
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 man/potts.Rd          |   21 +--
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 src/LBLasso.c         |  155 +++++++++-----------------
 src/LBheader.c        |  183 ++++++++++++++++++++++--------
 src/LBheader.h        |   24 ++--
 src/LBlogistic.c      |  154 +++++++++----------------
 src/LBmultilogistic.c |  244 +++++++++++-----------------------------
 src/ggm.c             |only
 src/ising.c           |   66 ++++++++---
 src/potts.c           |  153 +++++++++++--------------
 29 files changed, 745 insertions(+), 913 deletions(-)

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New package calibrar with initial version 0.2.0
Package: calibrar
Version: 0.2.0
Authors@R: c( person("Ricardo", "Oliveros-Ramos", email="ricardo.oliveros@gmail.com", role=c("aut", "cre")))
Title: Automated Parameter Estimation for Complex (Ecological) Models
Description: Automated parameter estimation for complex (ecological) models in R. This package allows the parameter estimation or calibration of complex models, including stochastic ones. It is a generic tool that can be used for fitting any type of models, especially those with non-differentiable objective functions. It supports multiple phases and constrained optimization. It implements maximum likelihood estimation methods and automated construction of the objective function from simulated model outputs. See <http://roliveros-ramos.github.io/calibrar> for more details.
Depends: R (>= 2.15)
Imports: cmaes, optimx, foreach, parallel, stats, utils
Suggests: deSolve
License: GPL-2
URL: http://roliveros-ramos.github.io/calibrar
BugReports: https://github.com/roliveros-ramos/calibrar/issues
ByteCompile: TRUE
NeedsCompilation: no
Packaged: 2016-02-17 12:05:30 UTC; Ricardo
Author: Ricardo Oliveros-Ramos [aut, cre]
Maintainer: Ricardo Oliveros-Ramos <ricardo.oliveros@gmail.com>
Repository: CRAN
Date/Publication: 2016-02-17 13:43:47

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New package VisuClust with initial version 1.2
Package: VisuClust
Type: Package
Title: Visualisation of Clusters in Multivariate Data
Version: 1.2
Date: 2016-2-15
Authors@R: c(person("Michael", "Sieger", role=c("cre","aut"), email="sieger-michael@web.de"), person("Georg", "Ohmayer", role=c("aut", "ths"), email="georg.ohmayer@hswt.de"), person("Hochschule Weihenstephan-Triesdorf", role=("cph")))
Author: Michael Sieger [cre, aut], Georg Ohmayer [aut, ths], Hochschule Weihenstephan-Triesdorf [cph]
Suggests: MASS, cluster
Depends: aplpack
Maintainer: Michael Sieger <sieger-michael@web.de>
Description: Displays multivariate data, based on Sammon's nonlinear mapping.
License: LGPL (>= 3)
NeedsCompilation: no
Packaged: 2016-02-17 09:52:44 UTC; Tamaran
Repository: CRAN
Date/Publication: 2016-02-17 11:19:16

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Package s2dverification updated to version 2.5.0 with previous version 2.4.0 dated 2015-07-28

Title: Set of Common Tools for Forecast Verification
Description: Set of tools to verify forecasts through the computation of typical prediction scores against one or more observational datasets or reanalyses (a reanalysis being a physical extrapolation of observations that relies on the equations from a model, not a pure observational dataset). Intended for seasonal to decadal climate forecasts although can be useful to verify other kinds of forecasts. The package can be helpful in climate sciences for other purposes than forecasting.
Author: Virginie Guemas [aut], Nicolau Manubens [aut, cre], Louis-Philippe Caron [aut], Verónica Torralba [aut], Chloé Prodhomme [aut], Martin Ménégoz [aut], Javier Garcia-Serrano [aut], Fabian Lienert [aut], Ludovic Auger [aut], Isabel Andreu-Burillo [aut]
Maintainer: Nicolau Manubens <nicolau.manubens@bsc.es>

Diff between s2dverification versions 2.4.0 dated 2015-07-28 and 2.5.0 dated 2016-02-17

 s2dverification-2.4.0/s2dverification/R/ConfigAddVar.R                  |only
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 s2dverification-2.5.0/s2dverification/DESCRIPTION                       |   47 
 s2dverification-2.5.0/s2dverification/MD5                               |   93 
 s2dverification-2.5.0/s2dverification/NAMESPACE                         |    3 
 s2dverification-2.5.0/s2dverification/R/ConfigAddEntry.R                |    8 
 s2dverification-2.5.0/s2dverification/R/ConfigApplyMatchingEntries.R    |  146 -
 s2dverification-2.5.0/s2dverification/R/ConfigEditEntry.R               |   21 
 s2dverification-2.5.0/s2dverification/R/ConfigFileCreate.R              |   11 
 s2dverification-2.5.0/s2dverification/R/ConfigFileOpen.R                |  101 
 s2dverification-2.5.0/s2dverification/R/ConfigFileSave.R                |   40 
 s2dverification-2.5.0/s2dverification/R/ConfigRemoveEntry.R             |    4 
 s2dverification-2.5.0/s2dverification/R/ConfigShowSimilarEntries.R      |   16 
 s2dverification-2.5.0/s2dverification/R/ConfigShowTable.R               |   10 
 s2dverification-2.5.0/s2dverification/R/Load.R                          | 1141 +++++++---
 s2dverification-2.5.0/s2dverification/R/Utils.R                         |  861 ++++++-
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 s2dverification-2.5.0/s2dverification/inst/doc/plot_timeseries.R        |   82 
 s2dverification-2.5.0/s2dverification/man/ACC.Rd                        |   18 
 s2dverification-2.5.0/s2dverification/man/ConfigApplyMatchingEntries.Rd |   21 
 s2dverification-2.5.0/s2dverification/man/ConfigEditDefinition.Rd       |   16 
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 s2dverification-2.5.0/s2dverification/man/ConfigFileOpen.Rd             |   80 
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 s2dverification-2.5.0/s2dverification/man/ConfigShowTable.Rd            |   32 
 s2dverification-2.5.0/s2dverification/man/Corr.Rd                       |   15 
 s2dverification-2.5.0/s2dverification/man/Eno.Rd                        |   14 
 s2dverification-2.5.0/s2dverification/man/EnoNew.Rd                     |   14 
 s2dverification-2.5.0/s2dverification/man/Histo2Hindcast.Rd             |   14 
 s2dverification-2.5.0/s2dverification/man/Load.Rd                       |  341 +-
 s2dverification-2.5.0/s2dverification/man/LoadDataFile.Rd               |   53 
 s2dverification-2.5.0/s2dverification/man/PlotACC.Rd                    |   14 
 s2dverification-2.5.0/s2dverification/man/PlotEquiMap.Rd                |   21 
 s2dverification-2.5.0/s2dverification/man/PlotStereoMap.Rd              |   11 
 s2dverification-2.5.0/s2dverification/man/ProbBins.Rd                   |   14 
 s2dverification-2.5.0/s2dverification/man/RatioRMS.Rd                   |   14 
 s2dverification-2.5.0/s2dverification/man/Regression.Rd                 |   14 
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 s2dverification-2.5.0/s2dverification/man/sampleTimeSeries.Rd           |   47 
 54 files changed, 2285 insertions(+), 1252 deletions(-)

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New package robustrao with initial version 1.0-0
Package: robustrao
Type: Package
Title: An Extended Rao-Stirling Diversity Index to Handle Missing Data
Version: 1.0-0
Date: 2016-01-31
Author: María del Carmen Calatrava Moreno [aut, cre], Thomas Auzinger [aut]
Maintainer: María del Carmen Calatrava Moreno <mc.calatrava.moreno@gmail.com>
Description: A collection of functions to compute the Rao-Stirling diversity index (Porter and Rafols, 2009) <DOI:10.1007/s11192-008-2197-2> and its extension to acknowledge missing data (i.e., uncategorized references) by calculating its interval of uncertainty using mathematical optimization as proposed in Calatrava et al. (2016) <DOI:10.1007/s11192-016-1842-4>. The Rao-Stirling diversity index is a well-established bibliometric indicator to measure the interdisciplinarity of scientific publications. Apart from the obligatory dataset of publications with their respective references and a taxonomy of disciplines that categorizes references as well as a measure of similarity between the disciplines, the Rao-Stirling diversity index requires a complete categorization of all references of a publication into disciplines. Thus, it fails for a incomplete categorization; in this case, the robust extension has to be used, which encodes the uncertainty caused by missing bibliographic data as an uncertainty interval. Classification / ACM - 2012: Information systems ~ Similarity measures, Theory of computation ~ Quadratic programming, Applied computing ~ Digital libraries and archives.
Depends: R (>= 3.2.3)
Imports: doParallel (>= 1.0.10), gmp (>= 0.5-12), iterpc (>= 0.2.8), quadprog (>= 1.5-5), igraph (>= 1.0.1), foreach (>= 1.4.3)
License: GPL-3
URL: https://gitlab.com/mc.calatrava.moreno/robustrao.git
Encoding: UTF-8
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-02-17 10:47:43 UTC; mcalatra
Repository: CRAN
Date/Publication: 2016-02-17 12:08:46

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Package metasens updated to version 0.3-0 with previous version 0.2-0 dated 2014-12-07

Title: Advanced Statistical Methods to Model and Adjust for Bias in Meta-Analysis
Description: The following methods are implemented to evaluate how sensitive the results of a meta-analysis are to potential bias in meta-analysis: - Copas selection model; - limit meta-analysis; - upper bound for outcome reporting bias.
Author: Guido Schwarzer [aut, cre], James Carpenter [aut], Gerta Rücker [aut]
Maintainer: Guido Schwarzer <sc@imbi.uni-freiburg.de>

Diff between metasens versions 0.2-0 dated 2014-12-07 and 0.3-0 dated 2016-02-17

 DESCRIPTION                 |   14 +++---
 MD5                         |   38 +++++++++---------
 NAMESPACE                   |   14 ++++--
 NEWS                        |   32 +++++++++++++++
 R/copas.R                   |   10 +++-
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 20 files changed, 173 insertions(+), 123 deletions(-)

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Package crmPack updated to version 0.1.8 with previous version 0.1.7 dated 2016-01-25

Title: Object-Oriented Implementation of CRM Designs
Description: Implements a wide range of model-based dose escalation designs, ranging from classical and modern continual reassessment methods (CRMs) based on dose-limiting toxicity endpoints to dual-endpoint designs taking into account a biomarker/efficacy outcome. The focus is on Bayesian inference, making it very easy to setup a new design with its own JAGS code. However, it is also possible to implement 3+3 designs for comparison or models with non-Bayesian estimation. The whole package is written in a modular form in the S4 class system, making it very flexible for adaptation to new models, escalation or stopping rules.
Author: Daniel Sabanes Bove <sabanesd@roche.com>, Wai Yin Yeung <w.yeung1@lancaster.ac.uk>, Giuseppe Palermo <giuseppe.palermo@roche.com>, Thomas Jaki <jaki.thomas@gmail.com>
Maintainer: Daniel Sabanes Bove <sabanesd@roche.com>

Diff between crmPack versions 0.1.7 dated 2016-01-25 and 0.1.8 dated 2016-02-17

 DESCRIPTION             |    8 +-
 MD5                     |   16 ++--
 R/Design-methods.R      |   15 ++--
 R/Rules-methods.R       |  171 ++++++++++++++++++++++++++++++++++--------------
 R/Samples-methods.R     |    4 -
 R/Simulations-methods.R |    6 -
 inst/NEWS               |   13 +++
 inst/doc/example.pdf    |binary
 man/nextBest.Rd         |   12 +--
 9 files changed, 171 insertions(+), 74 deletions(-)

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Package IRTpp (with last version 0.1.5) was removed from CRAN

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

2016-01-27 0.1.5

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Package venn updated to version 1.1 with previous version 1.0 dated 2016-01-09

Title: Draw Venn Diagrams
Description: Draws and displays Venn diagrams up to 7 sets, and any boolean union of set intersections.
Author: Adrian Dusa [aut, cre, cph]
Maintainer: Adrian Dusa <dusa.adrian@unibuc.ro>

Diff between venn versions 1.0 dated 2016-01-09 and 1.1 dated 2016-02-17

 DESCRIPTION          |    8 -
 MD5                  |   36 +++---
 NAMESPACE            |    7 -
 R/checkZone.R        |    8 -
 R/getCentroid.R      |    6 -
 R/getZones.R         |   26 +++--
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 man/venn.Rd          |  101 ++++++++++++++++---
 man/venn.package.Rd  |    4 
 20 files changed, 580 insertions(+), 164 deletions(-)

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New package scenario with initial version 1.0
Package: scenario
Type: Package
Title: Construct Reduced Trees with Predefined Nodal Structures
Version: 1.0
Date: 2016-02-15
Authors@R: c( person("Sean", "Turner", , "swd.turner@gmail.com", c("aut", "cre")), person("Stefano", "Galelli", , "stefano_galelli@sutd.edu.sg", "aut") )
URL: https://github.com/swd-turner/scenario
Description: Uses the neural gas algorithm to construct a scenario tree for use in multi-stage stochastic programming. The primary input is a set of initial scenarios or realizations of a disturbance. The scenario tree nodal structure must be predefined using a scenario tree nodal partition matrix.
License: GPL (>= 2)
LazyData: yes
Imports: graphics
Suggests: knitr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2016-02-17 08:44:51 UTC; sean_turner
Author: Sean Turner [aut, cre], Stefano Galelli [aut]
Maintainer: Sean Turner <swd.turner@gmail.com>
Repository: CRAN
Date/Publication: 2016-02-17 10:52:20

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Package ncappc updated to version 0.2.1.1 with previous version 0.2.1.0 dated 2015-12-08

Title: NCA Calculation and Population PK Model Diagnosis
Description: A flexible tool is presented here that can perform (i) traditional non-compartmental analysis (NCA) and (ii) simulation-based posterior predictive checks for a population pharmacokinetic (PK) model using NCA metrics.
Author: Chayan Acharya [aut, cre], Andrew C. Hooker [aut], Siv Jonsson [aut], Mats O. Karlsson [aut]
Maintainer: Chayan Acharya <chayan.acharya@farmbio.uu.se>

Diff between ncappc versions 0.2.1.0 dated 2015-12-08 and 0.2.1.1 dated 2016-02-17

 DESCRIPTION                                  |    6 +-
 MD5                                          |   17 ++++---
 R/est.nca.R                                  |    9 ++--
 R/ncappc.R                                   |   59 ++++++++++++++++++---------
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 vignettes/Sub-EstimationMethod.Rmd           |    8 +--
 vignettes/ncappc-vignette.md                 |    8 +--
 vignettes/ncappc-vignette.txt                |    8 +--
 10 files changed, 89 insertions(+), 50 deletions(-)

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New package MGLM with initial version 0.0.7
Package: MGLM
Version: 0.0.7
Date: 2016-02-01
Title: Multivariate Response Generalized Linear Models
Author: Yiwen Zhang <yzhang31@ncsu.edu> and Hua Zhou <hua_zhou@ncsu.edu>
Maintainer: Yiwen Zhang <yzhang31@ncsu.edu>
Depends: R (>= 3.0.0)
Imports: methods, stats, parallel
Suggests: ggplot2, plyr, reshape2
Description: Provides functions that (1) fit multivariate discrete distributions, (2) generate random numbers from multivariate discrete distributions, and (3) run regression and penalized regression on the multivariate categorical response data. Implemented models include: multinomial logit model, Dirichlet multinomial model, generalized Dirichlet multinomial model, and negative multinomial model. Making the best of the minorization-maximization (MM) algorithm and Newton-Raphson method, we derive and implement stable and efficient algorithms to find the maximum likelihood estimates. On a multi-core machine, multi-threading is supported.
LazyLoad: yes
LazyData: yes
Repository: CRAN
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2016-02-17 04:07:14 UTC; yiwen
Date/Publication: 2016-02-17 09:14:37

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New package catdap with initial version 1.2.2
Package: catdap
Version: 1.2.2
Title: Categorical Data Analysis Program Package
Author: The Institute of Statistical Mathematics
Maintainer: Masami Saga <msaga@mtb.biglobe.ne.jp>
Depends: R (>= 3.0.1)
Suggests: utils, datasets, methods
Imports: graphics, grDevices
Description: Categorical data analysis program package.
License: GPL (>= 2)
MailingList: Please send comments and bug reports to ismrp@jasp.ism.ac.jp
NeedsCompilation: yes
Packaged: 2016-02-17 05:42:22 UTC; msaga
Repository: CRAN
Date/Publication: 2016-02-17 10:52:16

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Package versions updated to version 0.2 with previous version 0.1 dated 2015-09-18

Title: Query and Install Specific Versions of Packages on CRAN
Description: Installs specified versions of R packages hosted on CRAN and provides functions to list available versions and the versions of currently installed packages. These tools can be used to help make R projects and packages more reproducible. 'versions' fits in the narrow gap between the 'devtools' install_version() function and the 'checkpoint' package. devtools::install_version() installs a stated package version from source files stored on the CRAN archives. However CRAN does not store binary versions of packages so Windows users need to have RTools installed and Windows and OSX users get longer installation times. 'checkpoint' uses the Revolution Analytics MRAN server to install packages (from source or binary) as they were available on a given date. It also provides a helpful interface to detect the packages in use in a directory and install all of those packages for a given date. 'checkpoint' doesn't provide install.packages-like functionality however, and that's what 'versions' aims to do, by querying MRAN. As MRAN only goes back to 2014-09-17, 'versions' can't install packages from before this date.
Author: Nick Golding
Maintainer: Nick Golding <nick.golding.research@gmail.com>

Diff between versions versions 0.1 dated 2015-09-18 and 0.2 dated 2016-02-17

 DESCRIPTION               |   29 ++++++++++++++++++++---------
 MD5                       |   22 +++++++++++-----------
 NAMESPACE                 |    2 +-
 R/available.versions.R    |   40 ++++++++++++++++++++++++++++++----------
 R/install.versions.R      |    4 ++--
 R/utilities.R             |   39 ++++++++++++++++++++++++++++++++-------
 README.md                 |   10 +++++++---
 man/available.versions.Rd |    4 +++-
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 man/versions-package.Rd   |    7 +++++--
 12 files changed, 136 insertions(+), 67 deletions(-)

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Package testit updated to version 0.5 with previous version 0.4 dated 2014-12-20

Title: A Simple Package for Testing R Packages
Description: Provides two convenience functions assert() and test_pkg() to facilitate testing R packages.
Author: Yihui Xie
Maintainer: Yihui Xie <xie@yihui.name>

Diff between testit versions 0.4 dated 2014-12-20 and 0.5 dated 2016-02-17

 DESCRIPTION        |   10 ++++++----
 MD5                |   15 ++++++++-------
 NAMESPACE          |    1 +
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 9 files changed, 66 insertions(+), 24 deletions(-)

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Package SSDM updated to version 0.1.1 with previous version 0.1.0 dated 2016-02-11

Title: Stacked Species Distribution Modelling
Description: Allows to map species richness and endemism based on stacked species distribution models (SSDM). Individuals SDMs can be created using a single or multiple algorithms (ensemble SDMs). For each species, an SDM can yield a habitat suitability map, a binary map, a between-algorithm variance map, and can assess variable importance, algorithm accuracy, and between- algorithm correlation. Methods to stack individual SDMs include summing individual probabilities and thresholding then summing. Thresholding can be based on a specific evaluation metric or by drawing repeatedly from a Bernoulli distribution. The SSDM package also provides a user-friendly interface.
Author: Sylvain Schmitt, Robin Pouteau, Dimitri Justeau, Philippe Birnbaum
Maintainer: Sylvain Schmitt <sylvain.schmitt@agroparistech.fr>

Diff between SSDM versions 0.1.0 dated 2016-02-11 and 0.1.1 dated 2016-02-17

 DESCRIPTION    |    8 ++++----
 MD5            |    6 +++---
 NEWS           |    6 +++++-
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 4 files changed, 13 insertions(+), 9 deletions(-)

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Package ROracle updated to version 1.2-2 with previous version 1.2-1 dated 2015-07-31

Title: OCI Based Oracle Database Interface for R
Description: Oracle Database interface (DBI) driver for R. This is a DBI-compliant Oracle driver based on the OCI.
Author: Denis Mukhin, David A. James and Jake Luciani
Maintainer: Rajendra S. Pingte <rajendra.pingte@oracle.com>

Diff between ROracle versions 1.2-1 dated 2015-07-31 and 1.2-2 dated 2016-02-17

 DESCRIPTION                               |   10 
 INSTALL                                   |  399 ++++++++++++++++--------------
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 inst/doc/man/ko/dbDriver-methods.Rd       |   26 +
 inst/doc/man/ko/dbGetInfo-methods.Rd      |   10 
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 inst/doc/man/pt_BR/OraDriver-class.Rd     |    2 
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 inst/doc/man/zh_CN/OraDriver-class.Rd     |    2 
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 man/OraDriver-class.Rd                    |    2 
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 src/rodbi.c                               |  153 +++++------
 src/rooci.c                               |  201 +++++++++++++--
 src/rooci.h                               |   16 -
 56 files changed, 2272 insertions(+), 1620 deletions(-)

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Package QCA updated to version 2.1 with previous version 2.0 dated 2015-12-19

Title: Qualitative Comparative Analysis
Description: Starting with version 2.0, the package QCA acts as an aggregator for the various packages dealing with Qualitative Comparative Analysis. For the moment, it is a gateway to the QCAGUI package, but more related packages are expected to be loaded at runtime.
Author: Adrian Dusa [aut, cre, cph], Alrik Thiem [aut] (from version 1.0-0, up to version 1.1-3)
Maintainer: Adrian Dusa <dusa.adrian@unibuc.ro>

Diff between QCA versions 2.0 dated 2015-12-19 and 2.1 dated 2016-02-17

 DESCRIPTION        |   11 ++++++-----
 MD5                |    8 ++++----
 NAMESPACE          |    5 +----
 inst/ChangeLog     |    3 +++
 man/QCA.package.Rd |    8 ++++----
 5 files changed, 18 insertions(+), 17 deletions(-)

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Package MazamaSpatialUtils updated to version 0.4.3 with previous version 0.3.2 dated 2015-07-24

Title: Mazama Science Spatial Data Download and Utility Functions
Description: A suite of conversion scripts to create internally standardized spatial polygons dataframes. Utility scripts use these datasets to return values such as country, state, timezone, watershed, etc. associated with a set of longitude/latitude pairs. (They also make cool maps.)
Author: Jonathan Callahan [aut, cre], Will Leahy [aut], Henry Nguyen [aut], Robin Winstanley [aut], Ruby Fore [aut]
Maintainer: Jonathan Callahan <jonathan.s.callahan@gmail.com>

Diff between MazamaSpatialUtils versions 0.3.2 dated 2015-07-24 and 0.4.3 dated 2016-02-17

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Package kSamples updated to version 1.2-3 with previous version 1.0.1 dated 2015-02-09

Title: K-Sample Rank Tests and their Combinations
Description: Compares k samples using the Anderson-Darling test, Kruskal-Wallis type tests with different rank score criteria, Steel's multiple comparison test, and the Jonckheere-Terpstra (JT) test. It computes asymptotic, simulated or (limited) exact P-values, all valid under randomization, with or without ties, or conditionally under random sampling from populations, given the observed tie pattern. Except for Steel's test and the JT test it also combines these tests across several blocks of samples. Also analyzed are 2 x t contingency tables and their blocked combinations using the Kruskal-Wallis criterion. Steel's test is inverted to provide simultaneous confidence bounds for shift parameters. A plotting function compares tail probabilities obtained under asymptotic approximation with those obtained via simulation or exact calculations.
Author: Fritz Scholz [aut, cre], Angie Zhu [aut]
Maintainer: Fritz Scholz <fscholz@u.washington.edu>

Diff between kSamples versions 1.0.1 dated 2015-02-09 and 1.2-3 dated 2016-02-17

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 man/contingency2xt.Rd      |   59 
 man/contingency2xt.comb.Rd |   29 
 man/jt.dist.Rd             |only
 man/jt.test.Rd             |only
 man/kSamples-package.Rd    |   20 
 man/pp.kSamples.Rd         |   11 
 man/qn.test.Rd             |   87 
 man/qn.test.combined.Rd    |   87 
 src/kSamples.c             | 4112 ++++++++++++++++++---------------------------
 src/myfuns.h               |   73 
 40 files changed, 3223 insertions(+), 3663 deletions(-)

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New package HDInterval with initial version 0.1.1
Package: HDInterval
Type: Package
Title: Highest (Posterior) Density Intervals
Version: 0.1.1
Date: 2016-02-15
Suggests: coda
Author: John Kruschke and Mike Meredith
Maintainer: Mike Meredith <mmeredith@wcs.org>
Description: A generic function and a set of methods to calculate highest density intervals for a variety of classes of objects which can specify a probability density distribution, including MCMC output, fitted density objects, and functions.
License: GPL-3
NeedsCompilation: no
Packaged: 2016-02-16 09:55:13 UTC; MIKE
Repository: CRAN
Date/Publication: 2016-02-17 09:00:30

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Package ctsem updated to version 1.1.5.1 with previous version 1.1.5 dated 2015-12-16

Title: Continuous Time Structural Equation Modelling
Description: An easily accessible continuous (and discrete) time dynamic modelling package for panel and time series data, reliant upon the OpenMx. package (http://openmx.psyc.virginia.edu/) for computation. Most dynamic modelling approaches to longitudinal data rely on the assumption that time intervals between observations are consistent. When this assumption is adhered to, the data gathering process is necessarily limited to a specific schedule, and when broken, the resulting parameter estimates may be biased and reduced in power. Continuous time models are conceptually similar to vector autoregressive models (thus also the latent change models popularised in a structural equation modelling context), however by explicitly including the length of time between observations, continuous time models are freed from the assumption that measurement intervals are consistent. This allows: data to be gathered irregularly; the elimination of noise and bias due to varying measurement intervals; parsimonious structures for complex dynamics. The application of such a model in this SEM framework allows full-information maximum-likelihood estimates for both N = 1 and N > 1 cases, multiple measured indicators per latent process, and the flexibility to incorporate additional elements, including individual heterogeneity in the latent process and manifest intercepts, and time dependent and independent exogenous covariates. Furthermore, due to the SEM implementation we are able to estimate a random effects model where the impact of time dependent and time independent predictors can be assessed simultaneously, but without the classic problems of random effects models assuming no covariance between unit level effects and predictors.
Author: Manuel Voelkle [aut, cph] (Original development of continuous time model specification within OpenMx, advisor for further development), Han Oud [aut, cph] (Original development of continuous time model specification within OpenMx), Charles Driver [aut, cre, cph] (Further development of continuous time model specification within OpenMx, package development, documentation and maintenance)
Maintainer: Charles Driver <driver@mpib-berlin.mpg.de>

Diff between ctsem versions 1.1.5 dated 2015-12-16 and 1.1.5.1 dated 2016-02-17

 DESCRIPTION              |    8 
 MD5                      |   19 
 R/ctGenerate.R           |   10 
 build/vignette.rds       |binary
 inst/doc/ctsem.R         |    1 
 inst/doc/ctsem.pdf       |binary
 inst/doc/ctsem.rnw       |    1 
 man/ctGenerate.Rd        |    4 
 vignettes/ctsem-blx.bib  |only
 vignettes/ctsem.rnw      |    1 
 vignettes/references.bib | 1470 ++++++++++++++++++++++-------------------------
 11 files changed, 739 insertions(+), 775 deletions(-)

More information about ctsem at CRAN
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