Fri, 08 Sep 2017

Package PhylogeneticEM updated to version 1.1.0 with previous version 1.0.1 dated 2017-05-01

Title: Automatic Shift Detection using a Phylogenetic EM
Description: Implementation of the automatic shift detection method for Brownian Motion (BM) or Ornstein–Uhlenbeck (OU) models of trait evolution on phylogenies. Some tools to handle equivalent shifts configurations are also available.
Author: Paul Bastide [aut, cre], Mahendra Mariadassou [ctb]
Maintainer: Paul Bastide <paul.bastide@m4x.org>

Diff between PhylogeneticEM versions 1.0.1 dated 2017-05-01 and 1.1.0 dated 2017-09-08

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 PhylogeneticEM-1.1.0/PhylogeneticEM/DESCRIPTION                                                    |   10 
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 PhylogeneticEM-1.1.0/PhylogeneticEM/NEWS.md                                                        |   23 
 PhylogeneticEM-1.1.0/PhylogeneticEM/R/E_step.R                                                     |   38 
 PhylogeneticEM-1.1.0/PhylogeneticEM/R/M_step.R                                                     |  191 +--
 PhylogeneticEM-1.1.0/PhylogeneticEM/R/RcppExports.R                                                |    8 
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More information about PhylogeneticEM at CRAN
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Package dMod updated to version 0.4 with previous version 0.3.2 dated 2016-09-30

Title: Dynamic Modeling and Parameter Estimation in ODE Models
Description: The framework provides functions to generate ODEs of reaction networks, parameter transformations, observation functions, residual functions, etc. The framework follows the paradigm that derivative information should be used for optimization whenever possible. Therefore, all major functions produce and can handle expressions for symbolic derivatives.
Author: Daniel Kaschek
Maintainer: Daniel Kaschek <daniel.kaschek@gmail.com>

Diff between dMod versions 0.3.2 dated 2016-09-30 and 0.4 dated 2017-09-08

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More information about dMod at CRAN
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Package ForestTools updated to version 0.1.5 with previous version 0.1.4 dated 2017-04-17

Title: Analyzing Remotely Sensed Forest Data
Description: Provides tools for analyzing remotely sensed forest data, including functions for detecting treetops from canopy models, outlining tree crowns and generating spatial statistics.
Author: Andrew Plowright
Maintainer: Andrew Plowright <andrew.plowright@alumni.ubc.ca>

Diff between ForestTools versions 0.1.4 dated 2017-04-17 and 0.1.5 dated 2017-09-08

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Permanent link

New package repurrrsive with initial version 0.1.0
Package: repurrrsive
Title: Examples of Recursive Lists and Nested or Split Data Frames
Version: 0.1.0
Authors@R: c( person("Jennifer", "Bryan", role=c("aut", "cre"), email = "jenny@rstudio.com"), person("Charlotte", "Wickham", role = "ctb", email = "cwickham@gmail.com"))
Description: Recursive lists in the form of R objects, 'JSON', and 'XML', for use in teaching and examples. Examples include color palettes, Game of Thrones characters, 'GitHub' users and repositories, and entities from the Star Wars universe. Data from the 'gapminder' package is also included, as a simple data frame and in nested and split forms.
Depends: R (>= 2.10)
License: CC0
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
Suggests: gapminder, jsonlite, purrr, rprojroot, testthat, wesanderson, xml2
URL: https://github.com/jennybc/repurrrsive
BugReports: https://github.com/jennybc/repurrrsive/issues
Imports: tibble, utils
NeedsCompilation: no
Packaged: 2017-09-08 15:07:55 UTC; jenny
Author: Jennifer Bryan [aut, cre], Charlotte Wickham [ctb]
Maintainer: Jennifer Bryan <jenny@rstudio.com>
Repository: CRAN
Date/Publication: 2017-09-08 17:21:59 UTC

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Package varbvs updated to version 2.4-0 with previous version 2.0-8 dated 2017-03-24

Title: Large-Scale Bayesian Variable Selection Using Variational Methods
Description: Fast algorithms for fitting Bayesian variable selection models and computing Bayes factors, in which the outcome (or response variable) is modeled using a linear regression or a logistic regression. The algorithms are based on the variational approximations described in "Scalable variational inference for Bayesian variable selection in regression, and its accuracy in genetic association studies" (P. Carbonetto & M. Stephens, 2012, <DOI:10.1214/12-BA703>). This software has been applied to large data sets with over a million variables and thousands of samples.
Author: Peter Carbonetto [aut, cre], Matthew Stephens [aut], David Gerard [aut]
Maintainer: Peter Carbonetto <peter.carbonetto@gmail.com>

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Package regsem updated to version 0.9.2 with previous version 0.8.1 dated 2017-06-08

Title: Regularized Structural Equation Modeling
Description: Uses both ridge and lasso penalties (and extensions) to penalize specific parameters in structural equation models. The package offers additional cost functions, cross validation, and other extensions beyond traditional structural equation models.
Author: Ross Jacobucci[aut,cre], Kevin J. Grimm [ctb], Andreas M. Brandmaier [ctb], Sarfaraz Serang [ctb]
Maintainer: Ross Jacobucci <rcjacobuc@gmail.com>

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Package GauPro updated to version 0.2.1 with previous version 0.2.0 dated 2017-08-16

Title: Gaussian Process Fitting
Description: Fits a Gaussian process model to data. Gaussian processes are commonly used in computer experiments to fit an interpolating model. The model is stored as an 'R6' object and can be easily updated with new data. There are options to run in parallel (not for Windows), and 'Rcpp' has been used to speed up calculations. Other R packages that perform similar calculations include 'laGP', 'DiceKriging', 'GPfit', and 'mlegp'.
Author: Collin Erickson
Maintainer: Collin Erickson <collinberickson@gmail.com>

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Package textshape updated to version 1.5.0 with previous version 1.3.0 dated 2017-07-27

Title: Tools for Reshaping Text
Description: Tools that can be used to reshape and restructure text data.
Author: Tyler Rinker [aut, cre], Joran Elias [ctb], Matthew Flickinger [ctb]
Maintainer: Tyler Rinker <tyler.rinker@gmail.com>

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Package sysfonts updated to version 0.7 with previous version 0.6 dated 2017-07-09

Title: Loading Fonts into R
Description: Loading system fonts and Google Fonts <https://fonts.google.com/> into R, in order to support other packages such as 'R2SWF' and 'showtext'.
Author: Yixuan Qiu and authors/contributors of the included fonts. See file AUTHORS for details.
Maintainer: Yixuan Qiu <yixuan.qiu@cos.name>

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Package storr updated to version 1.1.2 with previous version 1.1.1 dated 2017-06-02

Title: Simple Key Value Stores
Description: Creates and manages simple key-value stores. These can use a variety of approaches for storing the data. This package implements the base methods and support for file system, in-memory and DBI-based database stores.
Author: Rich FitzJohn
Maintainer: Rich FitzJohn <rich.fitzjohn@gmail.com>

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Package RSiena updated to version 1.2-3 with previous version 1.1-232 dated 2013-06-19

Title: Siena - Simulation Investigation for Empirical Network Analysis
Description: Statistical modelling for longitudinal network data using stochastic actor-oriented models.
Author: Ruth Ripley, Krists Boitmanis, Tom A.B. Snijders, Felix Schoenenberger
Maintainer: Tom A.B. Snijders <tom.snijders@nuffield.ox.ac.uk>

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 RSiena-1.2-3/RSiena/DESCRIPTION                                                               |   23 
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 RSiena-1.2-3/RSiena/NAMESPACE                                                                 |   42 
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 RSiena-1.2-3/RSiena/R/maxlike.r                                                               |    4 
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 RSiena-1.2-3/RSiena/R/sienatable.r                                                            |   52 
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 RSiena-1.2-3/RSiena/R/simstatsc.r                                                             |   36 
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 RSiena-1.2-3/RSiena/R/zzz.R                                                                   |    2 
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 RSiena-1.2-3/RSiena/data/allEffects.R                                                         |    2 
 RSiena-1.2-3/RSiena/data/allEffects.csv                                                       |  675 +++--
 RSiena-1.2-3/RSiena/inst/scripts/Rscript02SienaVariableFormat.R                               |    5 
 RSiena-1.2-3/RSiena/inst/scripts/Rscript03SienaRunModel.R                                     |    2 
 RSiena-1.2-3/RSiena/inst/scripts/Rscript04SienaBehaviour.R                                    |    2 
 RSiena-1.2-3/RSiena/inst/sienascript                                                          |    1 
 RSiena-1.2-3/RSiena/man/RSiena-package.Rd                                                     |   64 
 RSiena-1.2-3/RSiena/man/Wald.Rd                                                               |only
 RSiena-1.2-3/RSiena/man/allEffects.Rd                                                         |    6 
 RSiena-1.2-3/RSiena/man/coCovar.Rd                                                            |   19 
 RSiena-1.2-3/RSiena/man/coDyadCovar.Rd                                                        |    3 
 RSiena-1.2-3/RSiena/man/edit.sienaEffects.Rd                                                  |    4 
 RSiena-1.2-3/RSiena/man/effectsDocumentation.Rd                                               |   10 
 RSiena-1.2-3/RSiena/man/getEffects.Rd                                                         |   33 
 RSiena-1.2-3/RSiena/man/hn3401.Rd                                                             |    2 
 RSiena-1.2-3/RSiena/man/includeEffects.Rd                                                     |   42 
 RSiena-1.2-3/RSiena/man/includeInteraction.Rd                                                 |   60 
 RSiena-1.2-3/RSiena/man/includeTimeDummy.Rd                                                   |    2 
 RSiena-1.2-3/RSiena/man/iwlsm.Rd                                                              |    2 
 RSiena-1.2-3/RSiena/man/maxlikefn.Rd                                                          |    4 
 RSiena-1.2-3/RSiena/man/n3401.Rd                                                              |    2 
 RSiena-1.2-3/RSiena/man/print.sienaEffects.Rd                                                 |    7 
 RSiena-1.2-3/RSiena/man/print.sienaMeta.Rd                                                    |   17 
 RSiena-1.2-3/RSiena/man/print01Report.Rd                                                      |   19 
 RSiena-1.2-3/RSiena/man/s50.Rd                                                                |   19 
 RSiena-1.2-3/RSiena/man/s501.Rd                                                               |    4 
 RSiena-1.2-3/RSiena/man/s502.Rd                                                               |    5 
 RSiena-1.2-3/RSiena/man/s503.Rd                                                               |    6 
 RSiena-1.2-3/RSiena/man/s50a.Rd                                                               |    7 
 RSiena-1.2-3/RSiena/man/s50s.Rd                                                               |only
 RSiena-1.2-3/RSiena/man/setEffect.Rd                                                          |   81 
 RSiena-1.2-3/RSiena/man/siena07.Rd                                                            |  135 -
 RSiena-1.2-3/RSiena/man/siena08.Rd                                                            |   56 
 RSiena-1.2-3/RSiena/man/sienaAlgorithmCreate.Rd                                               |  197 -
 RSiena-1.2-3/RSiena/man/sienaCompositionChange.Rd                                             |   53 
 RSiena-1.2-3/RSiena/man/sienaDataCreate.Rd                                                    |   32 
 RSiena-1.2-3/RSiena/man/sienaDependent.Rd                                                     |   25 
 RSiena-1.2-3/RSiena/man/sienaFit.Rd                                                           |   50 
 RSiena-1.2-3/RSiena/man/sienaGOF-auxiliary.Rd                                                 |   73 
 RSiena-1.2-3/RSiena/man/sienaGOF.Rd                                                           |  156 +
 RSiena-1.2-3/RSiena/man/sienaGroupCreate.Rd                                                   |   17 
 RSiena-1.2-3/RSiena/man/sienaNodeSet.Rd                                                       |    6 
 RSiena-1.2-3/RSiena/man/sienaRI.Rd                                                            |only
 RSiena-1.2-3/RSiena/man/sienaTimeTest.Rd                                                      |   81 
 RSiena-1.2-3/RSiena/man/simstats0c.Rd                                                         |    3 
 RSiena-1.2-3/RSiena/man/tmp3.Rd                                                               |    5 
 RSiena-1.2-3/RSiena/man/tmp4.Rd                                                               |    5 
 RSiena-1.2-3/RSiena/man/updateTheta.Rd                                                        |   90 
 RSiena-1.2-3/RSiena/man/varCovar.Rd                                                           |   19 
 RSiena-1.2-3/RSiena/man/varDyadCovar.Rd                                                       |    9 
 RSiena-1.2-3/RSiena/man/xtable.Rd                                                             |    8 
 RSiena-1.2-3/RSiena/po/R-RSiena.pot                                                           |  331 ++
 RSiena-1.2-3/RSiena/po/R-ko.po                                                                |  468 ++--
 RSiena-1.2-3/RSiena/src/Makevars.in                                                           |only
 RSiena-1.2-3/RSiena/src/data/BehaviorLongitudinalData.cpp                                     |   17 
 RSiena-1.2-3/RSiena/src/data/BehaviorLongitudinalData.h                                       |    7 
 RSiena-1.2-3/RSiena/src/data/ChangingDyadicCovariate.cpp                                      |    4 
 RSiena-1.2-3/RSiena/src/data/ChangingDyadicCovariate.h                                        |   14 
 RSiena-1.2-3/RSiena/src/data/ConstantDyadicCovariate.cpp                                      |    2 
 RSiena-1.2-3/RSiena/src/data/ConstantDyadicCovariate.h                                        |   12 
 RSiena-1.2-3/RSiena/src/data/Covariate.cpp                                                    |   19 
 RSiena-1.2-3/RSiena/src/data/Covariate.h                                                      |   14 
 RSiena-1.2-3/RSiena/src/data/Data.cpp                                                         |    2 
 RSiena-1.2-3/RSiena/src/data/Data.h                                                           |   12 
 RSiena-1.2-3/RSiena/src/data/DyadicCovariateValueIterator.cpp                                 |    2 
 RSiena-1.2-3/RSiena/src/data/DyadicCovariateValueIterator.h                                   |   14 
 RSiena-1.2-3/RSiena/src/data/NetworkConstraint.cpp                                            |    5 
 RSiena-1.2-3/RSiena/src/data/NetworkConstraint.h                                              |   18 
 RSiena-1.2-3/RSiena/src/data/NetworkLongitudinalData.cpp                                      |   76 
 RSiena-1.2-3/RSiena/src/data/NetworkLongitudinalData.h                                        |   31 
 RSiena-1.2-3/RSiena/src/init.c                                                                |only
 RSiena-1.2-3/RSiena/src/model/EffectInfo.cpp                                                  |    7 
 RSiena-1.2-3/RSiena/src/model/EffectInfo.h                                                    |   47 
 RSiena-1.2-3/RSiena/src/model/EpochSimulation.cpp                                             |  803 ++----
 RSiena-1.2-3/RSiena/src/model/EpochSimulation.h                                               |  147 -
 RSiena-1.2-3/RSiena/src/model/Model.cpp                                                       |   79 
 RSiena-1.2-3/RSiena/src/model/Model.h                                                         |   97 
 RSiena-1.2-3/RSiena/src/model/State.cpp                                                       |    2 
 RSiena-1.2-3/RSiena/src/model/State.h                                                         |   14 
 RSiena-1.2-3/RSiena/src/model/StatisticCalculator.cpp                                         |  516 +++-
 RSiena-1.2-3/RSiena/src/model/StatisticCalculator.h                                           |   36 
 RSiena-1.2-3/RSiena/src/model/effects/AllEffects.h                                            |   31 
 RSiena-1.2-3/RSiena/src/model/effects/AlterCovariateActivityEffect.cpp                        |only
 RSiena-1.2-3/RSiena/src/model/effects/AlterCovariateActivityEffect.h                          |only
 RSiena-1.2-3/RSiena/src/model/effects/AltersCovariateAvAltEffect.cpp                          |only
 RSiena-1.2-3/RSiena/src/model/effects/AltersCovariateAvAltEffect.h                            |only
 RSiena-1.2-3/RSiena/src/model/effects/AltersCovariateAvSimEffect.cpp                          |only
 RSiena-1.2-3/RSiena/src/model/effects/AltersCovariateAvSimEffect.h                            |only
 RSiena-1.2-3/RSiena/src/model/effects/AltersCovariateAverageEffect.cpp                        |   36 
 RSiena-1.2-3/RSiena/src/model/effects/AltersCovariateAverageEffect.h                          |    4 
 RSiena-1.2-3/RSiena/src/model/effects/AltersCovariateTotSimEffect.cpp                         |only
 RSiena-1.2-3/RSiena/src/model/effects/AltersCovariateTotSimEffect.h                           |only
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 RSiena-1.2-3/RSiena/src/model/effects/AltersDist2CovariateAverageEffect.h                     |only
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 RSiena-1.2-3/RSiena/src/model/effects/AverageAlterEffect.cpp                                  |   78 
 RSiena-1.2-3/RSiena/src/model/effects/AverageAlterEffect.h                                    |    9 
 RSiena-1.2-3/RSiena/src/model/effects/AverageAlterInDist2Effect.cpp                           |only
 RSiena-1.2-3/RSiena/src/model/effects/AverageAlterInDist2Effect.h                             |only
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 RSiena-1.2-3/RSiena/src/model/effects/AverageReciprocatedAlterEffect.cpp                      |   17 
 RSiena-1.2-3/RSiena/src/model/effects/AverageReciprocatedAlterEffect.h                        |    5 
 RSiena-1.2-3/RSiena/src/model/effects/BehaviorEffect.cpp                                      |  108 
 RSiena-1.2-3/RSiena/src/model/effects/BehaviorEffect.h                                        |   26 
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 RSiena-1.2-3/RSiena/src/model/effects/CovariateAlterEffect.cpp                                |   50 
 RSiena-1.2-3/RSiena/src/model/effects/CovariateAlterEffect.h                                  |    6 
 RSiena-1.2-3/RSiena/src/model/effects/CovariateAndNetworkBehaviorEffect.cpp                   |  105 
 RSiena-1.2-3/RSiena/src/model/effects/CovariateAndNetworkBehaviorEffect.h                     |    8 
 RSiena-1.2-3/RSiena/src/model/effects/CovariateDependentBehaviorEffect.cpp                    |   22 
 RSiena-1.2-3/RSiena/src/model/effects/CovariateDependentBehaviorEffect.h                      |    1 
 RSiena-1.2-3/RSiena/src/model/effects/CovariateDependentNetworkEffect.cpp                     |  109 
 RSiena-1.2-3/RSiena/src/model/effects/CovariateDependentNetworkEffect.h                       |   12 
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 RSiena-1.2-3/RSiena/src/model/effects/CovariateEgoEffect.cpp                                  |   63 
 RSiena-1.2-3/RSiena/src/model/effects/CovariateEgoEffect.h                                    |   12 
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 RSiena-1.2-3/RSiena/src/model/effects/CovariateSimilarityEffect.cpp                           |   13 
 RSiena-1.2-3/RSiena/src/model/effects/CovariateSimilarityEffect.h                             |    2 
 RSiena-1.2-3/RSiena/src/model/effects/DiffusionRateEffect.cpp                                 |    2 
 RSiena-1.2-3/RSiena/src/model/effects/DiffusionRateEffect.h                                   |    8 
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 RSiena-1.2-3/RSiena/src/model/effects/DyadicCovariateAvAltEffect.h                            |only
 RSiena-1.2-3/RSiena/src/model/effects/Effect.h                                                |    5 
 RSiena-1.2-3/RSiena/src/model/effects/EffectFactory.cpp                                       | 1158 +++++++++-
 RSiena-1.2-3/RSiena/src/model/effects/FourCyclesEffect.cpp                                    |   41 
 RSiena-1.2-3/RSiena/src/model/effects/FourCyclesEffect.h                                      |    9 
 RSiena-1.2-3/RSiena/src/model/effects/HigherCovariateEffect.cpp                               |    4 
 RSiena-1.2-3/RSiena/src/model/effects/HomCovariateActivityEffect.cpp                          |only
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 RSiena-1.2-3/RSiena/src/model/effects/InStructuralEquivalenceEffect.cpp                       |    5 
 RSiena-1.2-3/RSiena/src/model/effects/IndegreeActivityEffect.cpp                              |   25 
 RSiena-1.2-3/RSiena/src/model/effects/IndegreeActivityEffect.h                                |    1 
 RSiena-1.2-3/RSiena/src/model/effects/IndegreePopularityEffect.cpp                            |    3 
 RSiena-1.2-3/RSiena/src/model/effects/IndegreePopularityEffect.h                              |    2 
 RSiena-1.2-3/RSiena/src/model/effects/InteractionCovariateEffect.cpp                          |   10 
 RSiena-1.2-3/RSiena/src/model/effects/InteractionCovariateEffect.h                            |    3 
 RSiena-1.2-3/RSiena/src/model/effects/InverseSquaredOutdegreeEffect.cpp                       |    3 
 RSiena-1.2-3/RSiena/src/model/effects/IsolatePopEffect.cpp                                    |   45 
 RSiena-1.2-3/RSiena/src/model/effects/IsolatePopEffect.h                                      |   10 
 RSiena-1.2-3/RSiena/src/model/effects/MaxAlterEffect.cpp                                      |only
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 RSiena-1.2-3/RSiena/src/model/effects/MixedNetworkEffect.h                                    |only
 RSiena-1.2-3/RSiena/src/model/effects/NetworkDependentBehaviorEffect.cpp                      |  142 +
 RSiena-1.2-3/RSiena/src/model/effects/NetworkDependentBehaviorEffect.h                        |   16 
 RSiena-1.2-3/RSiena/src/model/effects/NetworkEffect.cpp                                       |   55 
 RSiena-1.2-3/RSiena/src/model/effects/NetworkEffect.h                                         |    8 
 RSiena-1.2-3/RSiena/src/model/effects/OutdegreeActivityEffect.cpp                             |   20 
 RSiena-1.2-3/RSiena/src/model/effects/OutdegreeActivityEffect.h                               |   13 
 RSiena-1.2-3/RSiena/src/model/effects/OutdegreeActivitySqrtEffect.cpp                         |   18 
 RSiena-1.2-3/RSiena/src/model/effects/OutdegreeActivitySqrtEffect.h                           |    4 
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 RSiena-1.2-3/RSiena/src/model/effects/SameCovariateTransitiveTripletsEffect.cpp               |   29 
 RSiena-1.2-3/RSiena/src/model/effects/SameCovariateTransitiveTripletsEffect.h                 |   14 
 RSiena-1.2-3/RSiena/src/model/effects/SimilarityEffect.cpp                                    |    2 
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 RSiena-1.2-3/RSiena/src/model/effects/StructuralRateEffect.cpp                                |   12 
 RSiena-1.2-3/RSiena/src/model/effects/StructuralRateEffect.h                                  |    3 
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 RSiena-1.2-3/RSiena/src/model/effects/TransitiveTripletsEffect.cpp                            |   12 
 RSiena-1.2-3/RSiena/src/model/effects/TransitiveTripletsEffect.h                              |    9 
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 RSiena-1.2-3/RSiena/src/model/effects/XWXClosureEffect.cpp                                    |    9 
 RSiena-1.2-3/RSiena/src/model/effects/XWXClosureEffect.h                                      |    5 
 RSiena-1.2-3/RSiena/src/model/effects/generic/AlterFunction.cpp                               |    1 
 RSiena-1.2-3/RSiena/src/model/effects/generic/AlterFunction.h                                 |    4 
 RSiena-1.2-3/RSiena/src/model/effects/generic/AlterPredicate.cpp                              |    2 
 RSiena-1.2-3/RSiena/src/model/effects/generic/AlterPredicate.h                                |    5 
 RSiena-1.2-3/RSiena/src/model/effects/generic/ConstantFunction.h                              |    2 
 RSiena-1.2-3/RSiena/src/model/effects/generic/CovariateDegreeFunction.cpp                     |only
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 RSiena-1.2-3/RSiena/src/model/effects/generic/CovariateDistance2AlterNetworkFunction.h        |    5 
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 RSiena-1.2-3/RSiena/src/model/effects/generic/CovariateDistance2NetworkFunction.cpp           |  232 +-
 RSiena-1.2-3/RSiena/src/model/effects/generic/CovariateDistance2NetworkFunction.h             |   16 
 RSiena-1.2-3/RSiena/src/model/effects/generic/CovariateDistance2SimilarityNetworkFunction.cpp |    2 
 RSiena-1.2-3/RSiena/src/model/effects/generic/CovariateDistance2SimilarityNetworkFunction.h   |    2 
 RSiena-1.2-3/RSiena/src/model/effects/generic/CovariateMixedNetworkAlterFunction.h            |   10 
 RSiena-1.2-3/RSiena/src/model/effects/generic/CovariateNetworkAlterFunction.cpp               |   22 
 RSiena-1.2-3/RSiena/src/model/effects/generic/CovariateNetworkAlterFunction.h                 |   10 
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 RSiena-1.2-3/RSiena/src/model/effects/generic/GwespFunction.cpp                               |   38 
 RSiena-1.2-3/RSiena/src/model/effects/generic/GwespFunction.h                                 |    4 
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 RSiena-1.2-3/RSiena/src/utils/Utils.h                                                         |    2 
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Package OpenMx updated to version 2.7.17 with previous version 2.7.16 dated 2017-08-13

Title: Extended Structural Equation Modelling
Description: Facilitates treatment of statistical model specifications as things that can be generated and manipulated programmatically. Structural equation models may be specified with reticular action model matrices or paths, linear structural relations matrices or paths, or directly in matrix algebra. Fit functions include full information maximum likelihood, maximum likelihood, and weighted least squares. Example models include confirmatory factor, multiple group, mixture distribution, categorical threshold, modern test theory, differential equations, state space, and many others.
Author: Steven M. Boker [aut], Michael C. Neale [aut], Hermine H. Maes [aut], Michael J. Wilde [ctb], Michael Spiegel [aut], Timothy R. Brick [aut], Ryne Estabrook [aut], Timothy C. Bates [aut], Paras Mehta [ctb], Timo von Oertzen [ctb], Ross J. Gore [aut], Michael D. Hunter [aut], Daniel C. Hackett [ctb], Julian Karch [ctb], Andreas M. Brandmaier [ctb], Joshua N. Pritikin [aut, cre], Mahsa Zahery [aut], Robert M. Kirkpatrick [aut], Yang Wang [ctb], Charles Driver [ctb], Massachusetts Institute of Technology [cph], S. G. Johnson [cph], Association for Computing Machinery [cph], Dieter Kraft [cph], Stefan Wilhelm [cph], Manjunath B G [cph]
Maintainer: Joshua N. Pritikin <jpritikin@pobox.com>

Diff between OpenMx versions 2.7.16 dated 2017-08-13 and 2.7.17 dated 2017-09-08

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 R/MxFitFunctionWLS.R                                                              |   12 +
 R/MxRun.R                                                                         |    4 
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 src/omxImportFrontendState.cpp                                                    |    2 
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Package memisc updated to version 0.99.14.2 with previous version 0.99.14.1 dated 2017-09-07

Title: Tools for Management of Survey Data and for the Presentation of Analysis Results
Description: One of the aims of this package is to make life easier for R users who deal with survey data sets. It provides an infrastructure for the management of survey data including value labels, definable missing values, recoding of variables, production of code books, and import of (subsets of) 'SPSS' and 'Stata' files. Further, it provides functionality to produce tables and data frames of arbitrary descriptive statistics and (almost) publication-ready tables of regression model estimates, which can be exported to 'LaTeX' and HTML.
Author: Martin Elff (with contributions from Christopher N. Lawrence, Dave Atkins, Jason W. Morgan, Achim Zeileis)
Maintainer: Martin Elff <memisc@elff.eu>

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Package MCDA updated to version 0.0.17 with previous version 0.0.16 dated 2017-01-14

Title: Functions to Support the Multicriteria Decision Aiding Process
Description: Functions which can be useful to support the analyst in the Multicriteria Decision Aiding (MCDA) process involving multiple, conflicting criteria.
Author: Patrick Meyer, Sébastien Bigaret, Richard Hodgett, Alexandru-Liviu Olteanu
Maintainer: Patrick Meyer <patrick.meyer@telecom-bretagne.eu>

Diff between MCDA versions 0.0.16 dated 2017-01-14 and 0.0.17 dated 2017-09-08

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Package kableExtra updated to version 0.5.1 with previous version 0.5.0 dated 2017-09-05

Title: Construct Complex Table with 'kable' and Pipe Syntax
Description: A collection of functions to help build complex HTML or 'LaTeX' tables using 'kable()' from 'knitr' and the piping syntax from 'magrittr'. Function 'kable()' is a light weight table generator coming from 'knitr'. This package simplifies the way to manipulate the HTML or 'LaTeX' codes generated by 'kable()' and allows users to construct complex tables and customize styles using a readable syntax.
Author: Hao Zhu [aut, cre], Timothy Tsai [ctb], Thomas Travison [ctb], Will Beasley [ctb], Yihui Xie [ctb], GuangChuang Yu [ctb], Stéphane Laurent [ctb], Rob Shepherd [ctb], Yoni Sidi [ctb]
Maintainer: Hao Zhu <haozhu233@gmail.com>

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Package BiDAG updated to version 1.0.2 with previous version 1.0.1 dated 2017-07-26

Title: Bayesian Inference for Directed Acyclic Graphs (BiDAG)
Description: Implementation of a collection of MCMC methods for Bayesian structure learning of directed acyclic graphs (DAGs), both from continuous and discrete data. For efficient inference on larger DAGs, the space of DAGs is pruned according to the data. To filter the search space, the algorithm employs a hybrid approach, combining constraint-based learning with search and score. A reduced search space is initially defined on the basis of a skeleton obtained by means of the PC-algorithm, and then iteratively improved with search and score. Search and score is then performed following two approaches: Order MCMC, or Partition MCMC. The BGe score is implemented for continuous data and the BDe score is implemented for binary data. The algorithms may provide the maximum a posteriori (MAP) graph or a sample (a collection of DAGs) from the posterior distribution given the data. References: N. Friedman and D. Koller (2003) <doi:10.1023/A:1020249912095>, D. Geiger and D. Heckerman (2002) <doi:10.1214/aos/1035844981>, J. Kuipers and G. Moffa (2016) <doi:10.1080/01621459.2015.1133426>, M. Kalisch et al.(2012) <doi:10.18637/jss.v047.i11>.
Author: Polina Suter [aut, cre], Jack Kuipers [aut]
Maintainer: Polina Suter <polina.minkina@bsse.ethz.ch>

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Package rMR updated to version 1.0.5 with previous version 1.0.4 dated 2017-01-20

Title: Importing Data from Loligo Systems Software, Calculating Metabolic Rates and Critical Tensions
Description: Analysis of oxygen consumption data generated by Loligo (R) Systems respirometry equipment. The package includes a function for loading data output by Loligo's 'AutoResp' software (get.witrox.data()), functions for calculating metabolic rates over user-specified time intervals, extracting critical points from data using broken stick regressions based on Yeager and Ultsch (<DOI:10.1086/physzool.62.4.30157935>), and easy functions for converting between different units of barometric pressure.
Author: Tyler L. Moulton
Maintainer: Tyler L. Moulton <tyler.moulton@cortland.edu>

Diff between rMR versions 1.0.4 dated 2017-01-20 and 1.0.5 dated 2017-09-08

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New package distrr with initial version 0.0.4
Package: distrr
Title: Estimate and Manage Empirical Distributions
Description: Tools to estimate and manage empirical distributions, which should work with survey data. One of the main features is the possibility to create data cubes of estimated statistics, that include all the combinations of the variables of interest (see for example functions dcc5() and dcc6()).
Depends: R (>= 3.1.2)
Imports: magrittr (>= 1.5), dplyr (>= 0.5.0), lazyeval (>= 0.1.10), utils, stats, tidyr (>= 0.3.0)
Version: 0.0.4
License: GPL-2
Author: Sandro Petrillo Burri <gibo.gaf@gmail.com>
Maintainer: Sandro Petrillo Burri <gibo.gaf@gmail.com>
RoxygenNote: 6.0.1
Encoding: UTF-8
LazyData: yes
Collate: "distrr.R" "invented_data.R" "gibutils.R" "jointfuns.R" "Fhat_conditional.R" "distrr_funs.R" "dcc_new.R" "wq_df.R"
NeedsCompilation: no
Packaged: 2017-09-08 09:27:23 UTC; gibo
Repository: CRAN
Date/Publication: 2017-09-08 13:10:00 UTC

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Package SMM updated to version 1.0.1 with previous version 1.0 dated 2017-07-22

Title: Simulation and Estimation of Multi-State Discrete-Time Semi-Markov and Markov Models
Description: Performs parametric and non-parametric estimation and simulation for multi-state discrete-time semi-Markov processes. For the parametric estimation, several discrete distributions are considered for the sojourn times: Uniform, Geometric, Poisson, Discrete Weibull and Negative Binomial. The non-parametric estimation concerns the sojourn time distributions, where no assumptions are done on the shape of distributions. Moreover, the estimation can be done on the basis of one or several sample paths, with or without censoring at the beginning or/and at the end of the sample paths. The implemented methods are described in Barbu, V.S., Limnios, N. (2008) <doi:10.1007/978-0-387-73173-5>, Barbu, V.S., Limnios, N. (2008) <doi:10.1080/10485250701261913> and Trevezas, S., Limnios, N. (2011) <doi:10.1080/10485252.2011.555543>. Estimation and simulation of discrete-time k-th order Markov chains are also considered.
Author: Vlad Stefan Barbu, Caroline Berard, Dominique Cellier, Mathilde Sautreuil and Nicolas Vergne
Maintainer: Nicolas Vergne <nicolas.vergne@univ-rouen.fr>

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Package corehunter updated to version 3.2.0 with previous version 3.1.0 dated 2017-02-20

Title: Multi-Purpose Core Subset Selection
Description: Core Hunter is a tool to sample diverse, representative subsets from large germplasm collections, with minimum redundancy. Such so-called core collections have applications in plant breeding and genetic resource management in general. Core Hunter can construct cores based on genetic marker data, phenotypic traits or precomputed distance matrices, optimizing one of many provided evaluation measures depending on the precise purpose of the core (e.g. high diversity, representativeness, or allelic richness). In addition, multiple measures can be simultaneously optimized as part of a weighted index to bring the different perspectives closer together. The Core Hunter library is implemented in Java 8 as an open source project (see <http://www.corehunter.org>).
Author: Herman De Beukelaer [aut, cre], Guy Davenport [aut], Veerle Fack [ths]
Maintainer: Herman De Beukelaer <herman.debeukelaer@gmail.com>

Diff between corehunter versions 3.1.0 dated 2017-02-20 and 3.2.0 dated 2017-09-08

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 corehunter-3.2.0/corehunter/R/execution.R                                   |  246 +++++++---
 corehunter-3.2.0/corehunter/R/java.R                                        |   10 
 corehunter-3.2.0/corehunter/inst/java/corehunter-base-3.2.0.jar             |only
 corehunter-3.2.0/corehunter/man/coreHunterData.Rd                           |    1 
 corehunter-3.2.0/corehunter/man/corehunter.Rd                               |    1 
 corehunter-3.2.0/corehunter/man/distances.Rd                                |    1 
 corehunter-3.2.0/corehunter/man/evaluateCore.Rd                             |    1 
 corehunter-3.2.0/corehunter/man/exampleData.Rd                              |    3 
 corehunter-3.2.0/corehunter/man/genotypes.Rd                                |    3 
 corehunter-3.2.0/corehunter/man/getAlleleFrequencies.Rd                     |    1 
 corehunter-3.2.0/corehunter/man/getNormalizationRanges.Rd                   |   81 ++-
 corehunter-3.2.0/corehunter/man/objective.Rd                                |    5 
 corehunter-3.2.0/corehunter/man/phenotypes.Rd                               |    7 
 corehunter-3.2.0/corehunter/man/read.autodelim.Rd                           |   30 -
 corehunter-3.2.0/corehunter/man/sampleCore.Rd                               |   99 ++--
 corehunter-3.2.0/corehunter/man/setRange.Rd                                 |    1 
 corehunter-3.2.0/corehunter/man/wrapData.Rd                                 |    1 
 corehunter-3.2.0/corehunter/tests/testthat/data/distances-small.txt         |   12 
 corehunter-3.2.0/corehunter/tests/testthat/data/genotypes-bi-small.csv      |   12 
 corehunter-3.2.0/corehunter/tests/testthat/data/genotypes-freq-small.csv    |   14 
 corehunter-3.2.0/corehunter/tests/testthat/data/genotypes-small.csv         |   12 
 corehunter-3.2.0/corehunter/tests/testthat/data/phenotypes-no-types.csv     |    4 
 corehunter-3.2.0/corehunter/tests/testthat/data/phenotypes-single.csv       |only
 corehunter-3.2.0/corehunter/tests/testthat/data/phenotypes-small.csv        |    4 
 corehunter-3.2.0/corehunter/tests/testthat/data/phenotypes-unknown-type.csv |   14 
 corehunter-3.2.0/corehunter/tests/testthat/testData.R                       |   44 +
 corehunter-3.2.0/corehunter/tests/testthat/testExecution.R                  |  111 ++++
 corehunter-3.2.0/corehunter/tests/testthat/testUtils.R                      |    4 
 34 files changed, 685 insertions(+), 259 deletions(-)

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Package bayesmeta updated to version 1.6 with previous version 1.5 dated 2017-07-08

Title: Bayesian Random-Effects Meta-Analysis
Description: A collection of functions allowing to derive the posterior distribution of the two parameters in a random-effects meta-analysis, and providing functionality to evaluate joint and marginal posterior probability distributions, predictive distributions, shrinkage effects, etc.
Author: Christian Roever [aut, cre], Tim Friede [ctb]
Maintainer: Christian Roever <christian.roever@med.uni-goettingen.de>

Diff between bayesmeta versions 1.5 dated 2017-07-08 and 1.6 dated 2017-09-08

 bayesmeta-1.5/bayesmeta/data/GoralczykEtAl2011.rda  |only
 bayesmeta-1.5/bayesmeta/data/RoweEtAl2000.rda       |only
 bayesmeta-1.5/bayesmeta/man/GoralczykEtAl2011.Rd    |only
 bayesmeta-1.5/bayesmeta/man/RoweEtAl2000.Rd         |only
 bayesmeta-1.6/bayesmeta/DESCRIPTION                 |    8 
 bayesmeta-1.6/bayesmeta/MD5                         |   33 
 bayesmeta-1.6/bayesmeta/NAMESPACE                   |    5 
 bayesmeta-1.6/bayesmeta/R/bayesmeta.R               |  819 +++++++++++++++++---
 bayesmeta-1.6/bayesmeta/inst/doc/bayesmeta.html     |   48 -
 bayesmeta-1.6/bayesmeta/man/CrinsEtAl2014.Rd        |    5 
 bayesmeta-1.6/bayesmeta/man/HinksEtAl2010.Rd        |    6 
 bayesmeta-1.6/bayesmeta/man/Peto1980.Rd             |    4 
 bayesmeta-1.6/bayesmeta/man/TurnerEtAlPrior.Rd      |    8 
 bayesmeta-1.6/bayesmeta/man/bayesmeta-package.Rd    |    7 
 bayesmeta-1.6/bayesmeta/man/bayesmeta.Rd            |   66 +
 bayesmeta-1.6/bayesmeta/man/forest.bayesmeta.Rd     |   10 
 bayesmeta-1.6/bayesmeta/man/forestplot.bayesmeta.Rd |    8 
 bayesmeta-1.6/bayesmeta/man/normalmixture.Rd        |   14 
 bayesmeta-1.6/bayesmeta/man/plot.bayesmeta.Rd       |   14 
 bayesmeta-1.6/bayesmeta/man/pppvalue.Rd             |only
 20 files changed, 846 insertions(+), 209 deletions(-)

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New package mschart with initial version 0.2.0
Package: mschart
Type: Package
Title: Chart Generation for 'Microsoft Word' and 'Microsoft PowerPoint' Documents
Version: 0.2.0
Authors@R: c( person("David", "Gohel", role = c("aut", "cre"), email = "david.gohel@ardata.fr"), person("YouGov", role = "fnd") )
Description: Create native charts for 'Microsoft PowerPoint' and 'Microsoft Word' documents. These can then be edited and annotated. Functions are provided to let users create charts, modify and format their content. The chart's underlying data is automatically saved within the 'Word' document or 'PowerPoint' presentation. It extends package 'officer' that does not contain any feature for 'Microsoft' native charts production.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10)
Imports: stats, purrr,data.table,officer (>= 0.1.5), R6,cellranger,writexl,grDevices, xml2 (>= 1.1.0)
RoxygenNote: 6.0.1.9000
Suggests: knitr, rmarkdown,magrittr,htmltools
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2017-09-08 09:18:54 UTC; davidgohel
Author: David Gohel [aut, cre], YouGov [fnd]
Maintainer: David Gohel <david.gohel@ardata.fr>
Repository: CRAN
Date/Publication: 2017-09-08 10:28:04 UTC

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New package fdANOVA with initial version 0.1.0
Package: fdANOVA
Type: Package
Title: Analysis of Variance for Univariate and Multivariate Functional Data
Version: 0.1.0
Author: Tomasz Gorecki, Lukasz Smaga
Maintainer: Lukasz Smaga <ls@amu.edu.pl>
Description: Performs analysis of variance testing procedures for univariate and multivariate functional data (Cuesta-Albertos and Febrero-Bande (2010) <doi:10.1007/s11749-010-0185-3>, Gorecki and Smaga (2015) <doi:10.1007/s00180-015-0555-0>, Gorecki and Smaga (2017) <doi:10.1080/02664763.2016.1247791>, Zhang et al. (2016) <arXiv:1309.7376v1>).
License: LGPL-2 | LGPL-3 | GPL-2 | GPL-3
Depends: R (>= 2.10)
Imports: fda, doParallel, ggplot2, doBy, MASS, magic, parallel, foreach
Encoding: UTF-8
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-09-08 09:54:43 UTC; ls
Repository: CRAN
Date/Publication: 2017-09-08 10:37:46 UTC

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New package AdapSamp with initial version 1.0
Package: AdapSamp
Type: Package
Title: Adaptive Sampling Algorithms
Version: 1.0
Author: Dong Zhang
Maintainer: Dong Zhang <dzhang0716@126.com>
Description: For distributions whose probability density functions are log-concave, Adaptive Rejection Sampling (ARS) algorithm can be used to build for sampling by Gilks W R, Wild P (1992) <doi:10.2307/2347565>. For others, we can use Modifed Adaptive Rejection Sampling (MARS) algorithm by Martino L, Míguez J (2011) <doi:10.1007/s11222-010-9197-9>, Concave-Convex Adaptive Rejection (CCARS) Sampling algorithm by Görür D, Teh Y W (2011) <doi:10.1198/jcgs.2011.09058> and Adaptive Slice Sampling (ASS) algorithm by Radford M. Neal (2003) <doi:10.1214/aos/1056562461>. So we designed an R package including mainly 4 functions: rARS(), rMARS(), rCCARS(), and rASS(). These functions can realize sampling based on the algorithms above.
License: GPL-2
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
NeedsCompilation: no
Imports: pracma,stats,utils
Packaged: 2017-09-08 09:41:31 UTC; keydom
Repository: CRAN
Date/Publication: 2017-09-08 10:39:55 UTC

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New package DAC with initial version 0.1.0
Package: DAC
Type: Package
Title: Calculating Data Agreement Criterion Scores to Rank Experts Based on Their Beliefs
Version: 0.1.0
Author: Veen, D., Schalken, N., van de Schoot, R.
Maintainer: Duco Veen <ducoveen@gmail.com>
Description: Allows to calculate Data Agreement Criterion (DAC) scores. This can be done to determine prior-data conflict or to evaluate and compare multiple priors, which can be experts' predictions. Bousquet (2008) <doi.org/10.1080/02664760802192981>.
License: GPL-3
Depends: flexmix, fGarch
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2017-09-08 07:35:52 UTC; 5507553
Repository: CRAN
Date/Publication: 2017-09-08 09:13:45 UTC

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New package slowraker with initial version 0.1.0
Package: slowraker
Type: Package
Title: A Slow Version of the Rapid Automatic Keyword Extraction (RAKE) Algorithm
Version: 0.1.0
Authors@R: person("Christopher", "Baker", email = "chriscrewbaker@gmail.com", role = c("aut", "cre"))
Description: A mostly pure-R implementation of the RAKE algorithm (Rose, S., Engel, D., Cramer, N. and Cowley, W. (2010) <doi:10.1002/9780470689646.ch1>), which can be used to extract keywords from documents without any training data.
URL: https://crew102.github.io/slowraker/index.html
BugReports: https://github.com/crew102/slowraker/issues
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: TRUE
Depends: R (>= 3.1)
Imports: SnowballC, NLP, openNLP, utils
Suggests: testthat, knitr, rmarkdown
SystemRequirements: Java (>= 5.0)
RoxygenNote: 6.0.1.9000
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2017-09-07 21:40:43 UTC; cbaker
Author: Christopher Baker [aut, cre]
Maintainer: Christopher Baker <chriscrewbaker@gmail.com>
Repository: CRAN
Date/Publication: 2017-09-08 08:23:58 UTC

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New package IDCard with initial version 0.1.0
Package: IDCard
Type: Package
Title: Update Chinese ID Card Number to Eighteen Digits
Version: 0.1.0
Author: Zhicheng Du, Yuantao Hao
Maintainer: Zhicheng Du<dgdzc@hotmail.com>
Description: The digits of the old version (before 2000 year) of 'Chinese ID Card Number' is 15, this package aims to update to the current version of 18 digits.
License: GPL-3
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2017-09-08 06:23:24 UTC; dgdzc
Repository: CRAN
Date/Publication: 2017-09-08 08:49:53 UTC

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Package graphkernels updated to version 1.4 with previous version 1.3 dated 2017-09-06

Title: Graph Kernels
Description: A fast C++ implementation for computing various graph kernels including (1) simple kernels between vertex and/or edge label histograms, (2) graphlet kernels, (3) random walk kernels (popular baselines), and (4) the Weisfeiler-Lehman graph kernel (state-of-the-art).
Author: Mahito Sugiyama
Maintainer: Mahito Sugiyama <mahito@nii.ac.jp>

Diff between graphkernels versions 1.3 dated 2017-09-06 and 1.4 dated 2017-09-08

 DESCRIPTION      |    8 ++++----
 MD5              |    4 ++--
 R/graphKernels.R |    2 +-
 3 files changed, 7 insertions(+), 7 deletions(-)

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New package gibble with initial version 0.0.1
Package: gibble
Title: Component Geometry Decomposition
Version: 0.0.1
Authors@R: person("Michael", "Sumner", email = "mdsumner@gmail.com", role = c("aut", "cre"))
Description: Translation and restructuring operations for planar shapes and other hierarchical types require a data model with a record of the underlying relationships between elements. The gibble() function creates a geometry map, a simple record of the underlying structure in path-based hierarchical types. There are methods for the planar shape types in the 'sf' package.
Depends: R (>= 3.3.1)
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
Imports: dplyr, tibble
Suggests: covr
URL: https://github.com/mdsumner/gibble
BugReports: https://github.com/mdsumner/gibble/issues
NeedsCompilation: no
Packaged: 2017-09-08 02:55:20 UTC; mdsumner
Author: Michael Sumner [aut, cre]
Maintainer: Michael Sumner <mdsumner@gmail.com>
Repository: CRAN
Date/Publication: 2017-09-08 08:17:58 UTC

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Package suncalc updated to version 0.2 with previous version 0.1 dated 2017-05-15

Title: Compute Sun Position, Sunlight Phases, Moon Position and Lunar Phase
Description: R interface to 'suncalc.js' library, part of the 'SunCalc.net' project <http://suncalc.net>, for calculating sun position, sunlight phases (times for sunrise, sunset, dusk, etc.), moon position and lunar phase for the given location and time.
Author: Vladimir Agafonkin [aut, cph] (suncalc.js library/lib, https://github.com/mourner), Benoit Thieurmel [aut, cre] (R interface)
Maintainer: Benoit Thieurmel <benoit.thieurmel@datastorm.fr>

Diff between suncalc versions 0.1 dated 2017-05-15 and 0.2 dated 2017-09-08

 DESCRIPTION             |    8 ++++----
 MD5                     |   13 +++++++------
 NEWS.md                 |only
 R/getMoonPosition.R     |    2 +-
 R/getMoonTimes.R        |    2 +-
 R/getSunlightPosition.R |    2 +-
 R/getSunlightTimes.R    |    2 +-
 README.md               |    4 +++-
 8 files changed, 18 insertions(+), 15 deletions(-)

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