Fri, 10 Oct 2014

Package RPushbullet updated to version 0.1.0 with previous version 0.0.2 dated 2014-06-03

Title: R Interface to the Pushbullet Messaging Service
Description: This package provides an easy-to-use interface for the Pushbullet messaging service which provides fast and efficient notifications between computers, phones and tablets. An account has to be registered at the site http://www.pushbullet.com site to obtain a (free) API key.
Author: Dirk Eddelbuettel
Maintainer: Dirk Eddelbuettel

Diff between RPushbullet versions 0.0.2 dated 2014-06-03 and 0.1.0 dated 2014-10-10

 ChangeLog                  |   71 ++++++++++++++
 DESCRIPTION                |   31 ++----
 MD5                        |   20 +--
 R/devices.R                |   32 +++++-
 R/init.R                   |   34 ++++++
 R/pushes.R                 |  228 ++++++++++++++++++++++++++++++++++-----------
 README.md                  |   34 ++++++
 man/pbGetDevices.Rd        |   21 +++-
 man/pbPost.Rd              |   72 +++++++++++---
 man/rpushbullet-package.Rd |   67 ++++++++++++-
 tests/simpleTests.R        |   16 ++-
 11 files changed, 520 insertions(+), 106 deletions(-)

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Package R.matlab updated to version 3.1.1 with previous version 3.0.1 dated 2014-05-21

Title: Read and write of MAT files together with R-to-MATLAB connectivity
Description: This package provides methods readMat() and writeMat() to read and write MAT files. It also makes it possible to communicate (evaluate code, send and retrieve objects etc.) with MATLAB v6 or higher running locally or on a remote host.
Author: Henrik Bengtsson [aut, cre, cph], Andy Jacobson [ctb] (Internal MAT v4 reader), Jason Riedy [ctb] (Support for reading compressed files (via 'Rcompression'), sparse matrices and UTF-encoded strings.)
Maintainer: Henrik Bengtsson

Diff between R.matlab versions 3.0.1 dated 2014-05-21 and 3.1.1 dated 2014-10-10

 R.matlab-3.0.1/R.matlab/inst/externals/InputStreamByteWrapper.class   |only
 R.matlab-3.0.1/R.matlab/inst/externals/InputStreamByteWrapper.java    |only
 R.matlab-3.1.1/R.matlab/DESCRIPTION                                   |   12 -
 R.matlab-3.1.1/R.matlab/MD5                                           |   28 +--
 R.matlab-3.1.1/R.matlab/NEWS                                          |   32 +++
 R.matlab-3.1.1/R.matlab/R/901.MatlabServer.R                          |    2 
 R.matlab-3.1.1/R.matlab/R/Matlab.R                                    |   87 ++++++++--
 R.matlab-3.1.1/R.matlab/R/readMat.R                                   |   31 ++-
 R.matlab-3.1.1/R.matlab/inst/externals/MatlabServer.m                 |   21 +-
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 R.matlab-3.1.1/R.matlab/man/1._The_MATLAB_server_running_in_MATLAB.Rd |   21 +-
 R.matlab-3.1.1/R.matlab/man/Matlab.Rd                                 |   39 +++-
 R.matlab-3.1.1/R.matlab/man/R.matlab-package.Rd                       |    3 
 R.matlab-3.1.1/R.matlab/man/readMat.Rd                                |    2 
 R.matlab-3.1.1/R.matlab/man/startServer.Matlab.Rd                     |   16 +
 R.matlab-3.1.1/R.matlab/tests/writeMat.R                              |   35 ++++
 17 files changed, 259 insertions(+), 70 deletions(-)

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New package BNSP with initial version 1.0.0
Package: BNSP
Title: Bayesian Non- and Semi-parametric Model Fitting
Version: 1.0.0
Date: 2014-10-10
Author: Georgios Papageorgiou
Maintainer: Georgios Papageorgiou
Description: Markov chain Monte Carlo algorithms for non- and semi-parametric models
Depends: R (>= 3.1.0)
License: GPL (>= 2)
URL: http://www.bbk.ac.uk/ems/faculty/papageorgiou
Packaged: 2014-10-10 14:30:48 UTC; papgeo
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2014-10-10 23:54:56

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Package PivotalR updated to version 0.1.17.8 with previous version 0.1.17.3 dated 2014-09-16

Title: R front-end to PostgreSQL and Pivotal (Greenplum) database, wrapper for MADlib
Description: R interface of Pivotal Data Fabrics running on PostgreSQL or Pivotal (Greenplum) database with parallel and distributed computation ability for big data analytics. PivotalR is a package that enables users of R to interact with the Pivotal (Greenplum) Database as well as Pivotal HD/HAWQ for Big Data analytics. It does so by providing an interface to the operations on tables/views in the database. These operations are almost the same as those of data.frame. Thus the users of R do not need to learn SQL when they operate on the objects in the database. It also provides a wrapper for MADlib, which is an open-source library for parallel and scalable in-database analytics.
Author: Predictive Analytics Team at Pivotal Inc. , with contributions from Data Scientist Team at Pivotal Inc.
Maintainer: Hai Qian

Diff between PivotalR versions 0.1.17.3 dated 2014-09-16 and 0.1.17.8 dated 2014-10-10

 DESCRIPTION            |    6 +++---
 MD5                    |   14 +++++++-------
 R/madlib-glm.R         |    5 +++++
 R/madlib-lm.R          |    8 +++++++-
 R/madlib-rpart.R       |   15 ++++++++++++---
 inst/doc/pivotalr.pdf  |binary
 man/logical-methods.Rd |   24 +++++++++++++++---------
 man/madlib.rpart.Rd    |    2 +-
 8 files changed, 50 insertions(+), 24 deletions(-)

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Package ParamHelpers updated to version 1.4 with previous version 1.3 dated 2014-07-15

Title: Helpers for parameters in black-box optimization, tuning and machine learning.
Description: A small package containing useful functions for parameter descriptions and operations in black-box optimization, tuning and machine learning.
Author: Bernd Bischl [aut, cre], Michel Lang [aut], Jakob Bossek [aut], Daniel Horn [aut]
Maintainer: Bernd Bischl

Diff between ParamHelpers versions 1.3 dated 2014-07-15 and 1.4 dated 2014-10-10

 DESCRIPTION                                |   12 +-
 MD5                                        |  158 ++++++++++++++---------------
 NAMESPACE                                  |    5 
 NEWS                                       |   11 ++
 R/OptPath.R                                |   13 ++
 R/OptPathDF_as_data_frame.R                |   23 ++--
 R/OptPathDF_getter.R                       |   51 +++++----
 R/OptPathDF_setter.R                       |    4 
 R/OptPath_getter.R                         |   65 ++++++++---
 R/aParam.R                                 |    3 
 R/convertParamSetToIrace.R                 |    5 
 R/dfRowsToList.R                           |    3 
 R/extractParamSetFromSooFunction.R         |    9 -
 R/generateDesign.R                         |   15 --
 R/generateGridDesign.R                     |   13 --
 R/generateRandomDesign.R                   |only
 R/getBounds.R                              |    3 
 R/getDefaults.R                            |    3 
 R/getParamTypes.R                          |    7 -
 R/hasFiniteBoxConstraints.R                |    3 
 R/paramValueToString.R                     |    3 
 R/sample.R                                 |    6 -
 R/setValueCNames.R                         |    4 
 R/trafo.R                                  |    3 
 R/utils.R                                  |   16 ++
 man/LearnerParam.Rd                        |   18 +--
 man/OptPath.Rd                             |    5 
 man/Param.Rd                               |   32 ++---
 man/addOptPathEl.Rd                        |    5 
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 man/getOptPathCol.Rd                       |   17 ++-
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 man/getOptPathDOB.Rd                       |   17 ++-
 man/getOptPathEOL.Rd                       |   17 ++-
 man/getOptPathEl.Rd                        |    5 
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 man/getOptPathExecTimes.Rd                 |   17 ++-
 man/getOptPathLength.Rd                    |    5 
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 man/getOptPathY.Rd                         |   16 ++
 man/getParamIds.Rd                         |    2 
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 man/getParamTypeCounts.Rd                  |    2 
 man/getParamTypes.Rd                       |    4 
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 man/hasForbidden.Rd                        |    2 
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 man/hasTrafo.Rd                            |    2 
 man/hasType.Rd                             |    2 
 man/isEmpty.Rd                             |    2 
 man/isFeasible.Rd                          |    2 
 man/isForbidden.Rd                         |    2 
 man/isType.Rd                              |    2 
 man/makeParamSet.Rd                        |    2 
 man/paramValueToString.Rd                  |    2 
 man/removeMissingValues.Rd                 |    2 
 man/repairPoint.Rd                         |    2 
 man/sampleValue.Rd                         |    4 
 man/sampleValues.Rd                        |    4 
 man/setOptPathElDOB.Rd                     |    5 
 man/setOptPathElEOL.Rd                     |    5 
 man/setValueCNames.Rd                      |    2 
 man/trafoOptPath.Rd                        |    2 
 man/trafoValue.Rd                          |    2 
 tests/testthat/test_OptPath.R              |   37 ++++++
 tests/testthat/test_ParamSet.R             |   16 ++
 tests/testthat/test_generateRandomDesign.R |only
 82 files changed, 516 insertions(+), 293 deletions(-)

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Package MplusAutomation updated to version 0.6-3 with previous version 0.6-2 dated 2013-10-24

Title: Automating Mplus Model Estimation and Interpretation
Description: The MplusAutomation package leverages the flexibility of the R language to automate latent variable model estimation and interpretation using Mplus, a powerful latent variable modeling program developed by Muthen and Muthen (www.statmodel.com). Specifically, MplusAutomation provides routines for creating related groups of models, running batches of models, and extracting and tabulating model parameters and fit statistics.
Author: Michael Hallquist [aut, cre], Joshua Wiley [aut]
Maintainer: Michael Hallquist

Diff between MplusAutomation versions 0.6-2 dated 2013-10-24 and 0.6-3 dated 2014-10-10

 MplusAutomation-0.6-2/MplusAutomation/man/coef.mplusObject.Rd             |only
 MplusAutomation-0.6-3/MplusAutomation/DESCRIPTION                         |   26 
 MplusAutomation-0.6-3/MplusAutomation/MD5                                 |  207 +-
 MplusAutomation-0.6-3/MplusAutomation/NAMESPACE                           |   35 
 MplusAutomation-0.6-3/MplusAutomation/NEWS                                |   37 
 MplusAutomation-0.6-3/MplusAutomation/R/MplusAutomation.R                 |    3 
 MplusAutomation-0.6-3/MplusAutomation/R/compareModels.R                   |   31 
 MplusAutomation-0.6-3/MplusAutomation/R/createModels.R                    |   41 
 MplusAutomation-0.6-3/MplusAutomation/R/extractAuxDis.R                   |   58 
 MplusAutomation-0.6-3/MplusAutomation/R/extractParameters.R               |   10 
 MplusAutomation-0.6-3/MplusAutomation/R/extractSaveData.R                 |    1 
 MplusAutomation-0.6-3/MplusAutomation/R/graphModels.R                     |    1 
 MplusAutomation-0.6-3/MplusAutomation/R/methods.R                         |  329 ++++
 MplusAutomation-0.6-3/MplusAutomation/R/mplus.R                           |  105 -
 MplusAutomation-0.6-3/MplusAutomation/R/parseOutput.R                     |  742 +++++-----
 MplusAutomation-0.6-3/MplusAutomation/R/runModels.R                       |   16 
 MplusAutomation-0.6-3/MplusAutomation/R/utilityFunctions.R                |    6 
 MplusAutomation-0.6-3/MplusAutomation/README.md                           |  170 +-
 MplusAutomation-0.6-3/MplusAutomation/build/vignette.rds                  |binary
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 MplusAutomation-0.6-3/MplusAutomation/man/cd.Rd                           |   40 
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 MplusAutomation-0.6-3/MplusAutomation/man/testBParamCompoundConstraint.Rd |   65 
 MplusAutomation-0.6-3/MplusAutomation/man/testBParamConstraint.Rd         |   59 
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 MplusAutomation-0.6-3/MplusAutomation/man/update.mplusObject.Rd           |   26 
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 106 files changed, 2650 insertions(+), 2528 deletions(-)

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Package mirt updated to version 1.6.1 with previous version 1.5 dated 2014-08-14

Title: Multidimensional Item Response Theory
Description: Analysis of dichotomous and polytomous response data using unidimensional and multidimensional latent trait models under the Item Response Theory paradigm. Exploratory and confirmatory models can be estimated with quadrature (EM) or stochastic (MHRM) methods. Confirmatory bi-factor and two-tier analyses are available for modeling item testlets. Multiple group analysis and mixed effects designs also are available for detecting differential item functioning and modelling item and person covariates.
Author: Phil Chalmers [aut, cre, cph], Joshua Pritikin [ctb], Alexander Robitzsch [ctb], Mateusz Zoltak [ctb]
Maintainer: Phil Chalmers

Diff between mirt versions 1.5 dated 2014-08-14 and 1.6.1 dated 2014-10-10

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 mirt-1.6.1/mirt/DESCRIPTION                         |   13 
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 mirt-1.6.1/mirt/NAMESPACE                           |    6 
 mirt-1.6.1/mirt/NEWS                                |   72 ++
 mirt-1.6.1/mirt/R/00-classes.R                      |   74 ++
 mirt-1.6.1/mirt/R/01-itemtypes.R                    |    3 
 mirt-1.6.1/mirt/R/02-item_methods.R                 |   47 +
 mirt-1.6.1/mirt/R/03-estimation.R                   |  558 +++++++++++---------
 mirt-1.6.1/mirt/R/04-derivatives.R                  |   33 +
 mirt-1.6.1/mirt/R/Confirmatory-methods.R            |    7 
 mirt-1.6.1/mirt/R/DIF.R                             |   11 
 mirt-1.6.1/mirt/R/DTF.R                             |    2 
 mirt-1.6.1/mirt/R/Discrete-methods.R                |only
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 mirt-1.6.1/mirt/R/EMstep.utils.R                    |only
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 mirt-1.6.1/mirt/R/LoadPars.R                        |   27 
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 mirt-1.6.1/mirt/R/MHRM.group.R                      |    2 
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 mirt-1.6.1/mirt/R/PrepData.R                        |    4 
 mirt-1.6.1/mirt/R/SE.methods.R                      |    4 
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 mirt-1.6.1/mirt/R/createItem.R                      |    7 
 mirt-1.6.1/mirt/R/fscores.R                         |   23 
 mirt-1.6.1/mirt/R/fscores.internal.R                |  109 +++
 mirt-1.6.1/mirt/R/itemfit.R                         |  138 +---
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 mirt-1.6.1/mirt/R/mdirt.R                           |only
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 mirt-1.6.1/mirt/R/mirt.model.R                      |  193 +++++-
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 mirt-1.6.1/mirt/R/mixedmirt.R                       |    7 
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 mirt-1.6.1/mirt/R/personfit.R                       |    2 
 mirt-1.6.1/mirt/R/read.mirt.R                       |  387 ++++++-------
 mirt-1.6.1/mirt/R/shinyItemplot.R                   |  233 ++++----
 mirt-1.6.1/mirt/R/utils.R                           |  248 +++++++-
 mirt-1.6.1/mirt/R/wald.R                            |    2 
 mirt-1.6.1/mirt/README.md                           |    7 
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 mirt-1.6.1/mirt/man/ConfirmatoryClass-class.Rd      |    2 
 mirt-1.6.1/mirt/man/DIF.Rd                          |   24 
 mirt-1.6.1/mirt/man/DTF.Rd                          |    2 
 mirt-1.6.1/mirt/man/DiscreteClass-class.Rd          |only
 mirt-1.6.1/mirt/man/ExploratoryClass-class.Rd       |    2 
 mirt-1.6.1/mirt/man/LSAT6.Rd                        |    7 
 mirt-1.6.1/mirt/man/LSAT7.Rd                        |    2 
 mirt-1.6.1/mirt/man/M2.Rd                           |   15 
 mirt-1.6.1/mirt/man/MixedClass-class.Rd             |    2 
 mirt-1.6.1/mirt/man/MultipleGroupClass-class.Rd     |    2 
 mirt-1.6.1/mirt/man/PLCI.mirt.Rd                    |    6 
 mirt-1.6.1/mirt/man/SAT12.Rd                        |   10 
 mirt-1.6.1/mirt/man/Science.Rd                      |    2 
 mirt-1.6.1/mirt/man/anova-method.Rd                 |    3 
 mirt-1.6.1/mirt/man/bfactor.Rd                      |    6 
 mirt-1.6.1/mirt/man/boot.mirt.Rd                    |    5 
 mirt-1.6.1/mirt/man/coef-method.Rd                  |   19 
 mirt-1.6.1/mirt/man/createItem.Rd                   |    9 
 mirt-1.6.1/mirt/man/deAyala.Rd                      |    2 
 mirt-1.6.1/mirt/man/expand.table.Rd                 |    2 
 mirt-1.6.1/mirt/man/expected.item.Rd                |    2 
 mirt-1.6.1/mirt/man/expected.test.Rd                |    2 
 mirt-1.6.1/mirt/man/extract.group.Rd                |    2 
 mirt-1.6.1/mirt/man/extract.item.Rd                 |    2 
 mirt-1.6.1/mirt/man/fscores.Rd                      |   49 +
 mirt-1.6.1/mirt/man/imputeMissing.Rd                |    2 
 mirt-1.6.1/mirt/man/itemfit.Rd                      |   27 
 mirt-1.6.1/mirt/man/iteminfo.Rd                     |    2 
 mirt-1.6.1/mirt/man/itemplot.Rd                     |    6 
 mirt-1.6.1/mirt/man/key2binary.Rd                   |    2 
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 mirt-1.6.1/mirt/man/mirt-package.Rd                 |    2 
 mirt-1.6.1/mirt/man/mirt.Rd                         |  199 ++++---
 mirt-1.6.1/mirt/man/mirt.model.Rd                   |   37 +
 mirt-1.6.1/mirt/man/mirtCluster.Rd                  |    2 
 mirt-1.6.1/mirt/man/mixedmirt.Rd                    |    8 
 mirt-1.6.1/mirt/man/mod2values.Rd                   |    2 
 mirt-1.6.1/mirt/man/multipleGroup.Rd                |    7 
 mirt-1.6.1/mirt/man/personfit.Rd                    |    2 
 mirt-1.6.1/mirt/man/plot-method.Rd                  |   25 
 mirt-1.6.1/mirt/man/print-method.Rd                 |    3 
 mirt-1.6.1/mirt/man/probtrace.Rd                    |    2 
 mirt-1.6.1/mirt/man/randef.Rd                       |    2 
 mirt-1.6.1/mirt/man/residuals-method.Rd             |    9 
 mirt-1.6.1/mirt/man/show-method.Rd                  |    3 
 mirt-1.6.1/mirt/man/simdata.Rd                      |   24 
 mirt-1.6.1/mirt/man/summary-method.Rd               |    7 
 mirt-1.6.1/mirt/man/testinfo.Rd                     |    2 
 mirt-1.6.1/mirt/man/wald.Rd                         |    8 
 mirt-1.6.1/mirt/src/dpars.cpp                       |   48 +
 mirt-1.6.1/mirt/src/traceLinePts.cpp                |   69 ++
 mirt-1.6.1/mirt/src/traceLinePts.h                  |    3 
 mirt-1.6.1/mirt/tests/tests/test-01-mirtOne.R       |   14 
 mirt-1.6.1/mirt/tests/tests/test-02-mirtTwo.R       |   23 
 mirt-1.6.1/mirt/tests/tests/test-03-bfactor.R       |   13 
 mirt-1.6.1/mirt/tests/tests/test-04-multipleGroup.R |    3 
 mirt-1.6.1/mirt/tests/tests/test-05-confmirtOne.R   |    6 
 mirt-1.6.1/mirt/tests/tests/test-07-mixedmirt.R     |    6 
 mirt-1.6.1/mirt/tests/tests/test-09-mirt.model.R    |   24 
 mirt-1.6.1/mirt/tests/tests/test-10-extras.R        |   10 
 mirt-1.6.1/mirt/tests/tests/test-11-discrete.R      |only
 109 files changed, 2473 insertions(+), 1590 deletions(-)

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New package HierO with initial version 0.1
Package: HierO
Type: Package
Title: A graphical user interface for calculating power and sample size for hierarchical data
Version: 0.1
Date: 2014-10-10
Author: Kari Tokola
Maintainer: Kari Tokola
Description: HierO is a graphical user interface (GUI) tool for calculating optimal statistical power and sample size for hierarchical data structure. HierO constructs a user defined sample size optimization problem to GAMS (General Algebraic Modeling System)form and uses Rneos package to send the problem to NEOS server for solving.
License: GPL-2
Depends: methods, rneos
Imports: XMLRPC, RCurl, bitops, XML, tcltk, tcltk2
Additional_repositories: http://www.omegahat.org/R
Packaged: 2014-10-10 12:38:01 UTC; kt61380
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-10-10 21:54:10

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Package checkpoint updated to version 0.3.3 with previous version 0.3.2 dated 2014-10-01

Title: Install Packages from Snapshots on the Checkpoint Server for Reproducibility
Description: The goal of checkpoint is to solve the problem of package reproducibility in R. Specifically, checkpoint allows you to install packages as they existed on CRAN on a specific snapshot date as if you had a CRAN time machine. To achieve reproducibility, the checkpoint() function installs the packages required or called by your project and scripts to a local library exactly as they existed at the specified point in time. Only those packages are available to your project, thereby avoiding any package updates that came later and may have altered your results. In this way, anyone using checkpoint's checkpoint() can ensure the reproducibility of your scripts or projects at any time. To create the snapshot archives, once a day (at midnight UTC) we refresh the Austria CRAN mirror, on the "Managed R Archived Network" server (http://mran.revolutionanalytics.com/). Immediately after completion of the rsync mirror process, we take a snapshot, thus creating the archive. Snapshot archives exist starting from 2014-09-17.
Author: Revolution Analytics
Maintainer: Andrie de Vries

Diff between checkpoint versions 0.3.2 dated 2014-10-01 and 0.3.3 dated 2014-10-10

 DESCRIPTION                        |    7 ++++---
 MD5                                |   12 ++++++------
 NAMESPACE                          |    2 +-
 R/checkpoint.R                     |    8 ++++++--
 man/checkpoint-package.Rd          |    2 +-
 man/checkpoint.Rd                  |    2 +-
 tests/testthat/test-1-checkpoint.R |   20 ++++++++++----------
 7 files changed, 29 insertions(+), 24 deletions(-)

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Package Benchmarking updated to version 0.24 with previous version 0.23 dated 2013-01-20

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

Diff between Benchmarking versions 0.23 dated 2013-01-20 and 0.24 dated 2014-10-10

 DESCRIPTION                 |   42 ++++++++----------
 MD5                         |   38 ++++++++---------
 NAMESPACE                   |    5 +-
 NEWS                        |   19 ++++++++
 R/boot.fear.R               |   22 ++++-----
 R/dea.R                     |   21 +++++----
 R/dea.boot.R                |   14 ++++--
 R/dea.plot.R                |    5 +-
 R/dea.web.R                 |    3 +
 R/malmq.R                   |only
 R/malmquist.R               |only
 R/minDirection.R            |   98 +++++++++++++++++++++++++++++++++++++-------
 R/sfa.R                     |    4 -
 man/Benchmarking-package.Rd |   16 +++----
 man/critValue.Rd            |    7 +--
 man/dea.Rd                  |    6 +-
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 man/dea.direct.Rd           |    6 +-
 man/eff.dens.Rd             |    4 -
 man/mea.Rd                  |   14 +++---
 man/typeIerror.Rd           |    9 ++--
 21 files changed, 238 insertions(+), 131 deletions(-)

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New package adwave with initial version 1.0
Package: adwave
Type: Package
Title: Wavelet Analysis of Genomic Data from Admixed Populations
Version: 1.0
Date: 2014-10-03
Depends: R (>= 2.10), waveslim
Author: Jean Sanderson
Maintainer: Murray Cox
Description: Implements wavelet-based approaches for describing population admixture. Principal Components Analysis (PCA) is used to define the population structure and produce a localized admixture signal for each individual. Wavelet summaries of the PCA output describe variation present in the data and can be related to population-level demographic processes. For more details, see accompanying paper.
License: GPL (>= 2)
Packaged: 2014-10-10 09:36:22 UTC; jean
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-10-10 21:54:19

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New package RSQLServer with initial version 0.1.1
Package: RSQLServer
Type: Package
Title: SQL Server R Database Interface (DBI)
Version: 0.1.1
Date: 2014-10-10
Authors@R: as.person(c("Imanuel Costigan [aut,cre]", "The jTDS Project (for MSSQL Server driver) [aut]", "Simon Urbanek [ctb]", "The Legion Of The Bouncy Castle [cph,ctb]"))
Maintainer: Imanuel Costigan
Description: RSQLServer wraps the jTDS Project's JDBC 3.0 SQL Server driver and extends the RJDBC classes and DBI methods. It defines a SQLServerDriver, SQLServerConnection & SQLServerRsult S4 classes as extensions of the RJDBC equivalent classes. Most of the DBI methods will simply be calls to methods defined by RJDBC classes. However, the dbConnect and some of the dbGetInfo methods are specific to SQL Server. The jTDS drivers do extend to Sybase SQL Server, but currently, only Microsoft SQL Server is supported by this package.
License: GPL-2
Depends: methods, DBI (>= 0.3.1), rJava (>= 0.9-6)
Imports: RJDBC (>= 0.2-4)
SystemRequirements: Java (>= 1.3)
Collate: 'DBDriver.R' 'DBConnection.R' 'DBResult.R' 'RSQLServer.R' 'Utils.R' 'onLoad.R'
Packaged: 2014-10-10 08:55:42 UTC; imanuel
Author: Imanuel Costigan [aut, cre], The jTDS Project [aut] (for MSSQL Server driver), Simon Urbanek [ctb], The Legion Of The Bouncy Castle [cph, ctb]
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-10-10 12:10:24

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Package lfe updated to version 1.7-1404 with previous version 1.7-1401 dated 2014-10-09

Title: Linear Group Fixed Effects
Description: Transforms away factors with many levels prior to doing an OLS. Useful for estimating linear models with multiple group fixed effects, and for estimating linear models which uses factors as pure control variables. Includes support for instrumented variables, robust and multi-way clustered standard errors.
Author: Simen Gaure, Ragnar Frisch Centre for Economic Research
Maintainer: Simen Gaure

Diff between lfe versions 1.7-1401 dated 2014-10-09 and 1.7-1404 dated 2014-10-10

 DESCRIPTION                 |    8 ++++----
 MD5                         |   22 +++++++++++-----------
 R/trace.R                   |   14 ++++++++------
 R/utils.R                   |   10 +++++++++-
 configure                   |   31 +++++++++++++++++++------------
 configure.ac                |    9 ++++++---
 inst/doc/CHANGELOG          |    4 +++-
 inst/doc/identification.pdf |binary
 inst/doc/lfehow.pdf         |binary
 inst/doc/speed.pdf          |binary
 src/Makevars.in             |    2 +-
 src/lfe.c                   |   20 +++++++++-----------
 12 files changed, 70 insertions(+), 50 deletions(-)

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Package protr updated to version 0.4-1 with previous version 0.3-1 dated 2014-08-23

Title: Generating Various Numerical Representation Schemes of Protein Sequence
Description: Comprehensive toolkit for generating various numerical representation schemes of protein sequence. The descriptors and similarity scores included are extensively utilized in bioinformatics and chemogenomics research.
Author: Nan Xiao , Qingsong Xu , Dongsheng Cao
Maintainer: Nan Xiao

Diff between protr versions 0.3-1 dated 2014-08-23 and 0.4-1 dated 2014-10-10

 DESCRIPTION                    |   44 ++-------
 MD5                            |  183 +++++++++++++++++++++--------------------
 NAMESPACE                      |    6 -
 NEWS                           |   10 ++
 R/desc04MoreauBroto.R          |   10 +-
 R/desc05Moran.R                |   10 +-
 R/desc06Geary.R                |   10 +-
 R/desc13PAAC.R                 |   21 +++-
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 R/misc05getUniProt.R           |    2 
 R/par01parSeqSim.R             |    2 
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 R/protr-package.R              |   69 ++++++---------
 README                         |   80 ++++++++---------
 build/vignette.rds             |binary
 inst/CITATION                  |   26 ++---
 inst/doc/protr.R               |    2 
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 man/acc.Rd                     |    2 
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 man/protseg.Rd                 |   11 +-
 man/readFASTA.Rd               |    2 
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 man/twoGOSim.Rd                |    2 
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 vignettes/protr.Rnw            |  104 ++++++++++++++---------
 vignettes/protr.bib            |   31 ++++++
 96 files changed, 563 insertions(+), 463 deletions(-)

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Package Power2Stage updated to version 0.1-5 with previous version 0.1-4 dated 2014-07-24

Title: Power and Sample size distribution of 2-stage BE studies via simulations
Description: Contains a function to calculate power and sample size distribution of 2-stage BE studies with a 2x2 crossover design according to Potvin et al. / Montague et al. modified to include a futility Nmax and modified to do the sample size estimation step with PE and mse of stage 1. Contains further a function with the modifications according to Karalis & Macheras which use PE and mse from stage 1 also for the power monitoring steps. The third function power.2stage.fC() calculates power and sample size distribution of 2-stage BE studies with a futility criterion for the point estimator or CI of T/R from stage 1. The fourth function power.2stage.GS() calculates power of non-adaptive group sequential (2-stage) BE studies. The fifth function power.2stage.p() calculates power and sample size distribution of 2-stage BE studies with 2 parallel groups.
Author: Detlew Labes [aut, cre], Helmut Schuetz [ctb]
Maintainer: Detlew Labes

Diff between Power2Stage versions 0.1-4 dated 2014-07-24 and 0.1-5 dated 2014-10-10

 DESCRIPTION            |   31 +++---
 MD5                    |   14 +-
 NAMESPACE              |    1 
 NEWS                   |   10 +-
 R/power_2stage_Bf.R    |  238 +++----------------------------------------------
 R/power_2stage_fC.R    |only
 man/power.2stage.Bf.Rd |   17 ++-
 man/power.2stage.Rd    |    6 -
 man/power.2stage.fC.Rd |only
 9 files changed, 63 insertions(+), 254 deletions(-)

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New package sptm with initial version 14.10-8
Package: sptm
LazyLoad: yes
LazyData: yes
Version: 14.10-8
Date: 14.10-08
Title: SemiParametric Transformation Model Methods
Author: Youyi Fong , Krisztian Sebestyen
Maintainer: Youyi Fong
Depends: R (>= 3.0.0), survival, survey
Imports: kyotil
Suggests: RUnit, mvtnorm, Matrix, MASS
Description: Semiparametric transformation model, calibration weights
License: GPL (>= 2)
Packaged: 2014-10-09 22:23:29 UTC; yfong
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2014-10-10 07:27:16

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