Mon, 13 Feb 2017

Package StereoMorph updated to version 1.6 with previous version 1.5.1 dated 2016-06-06

Title: Stereo Camera Calibration and Reconstruction
Description: Functions for the collection of 3D points and curves using a stereo camera setup.
Author: Aaron Olsen, Annat Haber
Maintainer: Aaron Olsen <aarolsen@gmail.com>

Diff between StereoMorph versions 1.5.1 dated 2016-06-06 and 1.6 dated 2017-02-13

 StereoMorph-1.5.1/StereoMorph/inst/extdata/apps/digitizeImage                       |only
 StereoMorph-1.6/StereoMorph/DESCRIPTION                                             |   12 
 StereoMorph-1.6/StereoMorph/MD5                                                     |   88 +-
 StereoMorph-1.6/StereoMorph/R/RcppExports.R                                         |    2 
 StereoMorph-1.6/StereoMorph/R/TPSToShapes.R                                         |only
 StereoMorph-1.6/StereoMorph/R/avectors.R                                            |    2 
 StereoMorph-1.6/StereoMorph/R/calibrateCameras.R                                    |  324 ++++++--
 StereoMorph-1.6/StereoMorph/R/check_system_command_SM.R                             |only
 StereoMorph-1.6/StereoMorph/R/createErrorPlots.R                                    |   24 
 StereoMorph-1.6/StereoMorph/R/digitizeImage.R                                       |  388 ----------
 StereoMorph-1.6/StereoMorph/R/digitizeImages.R                                      |   18 
 StereoMorph-1.6/StereoMorph/R/distortionError.R                                     |   17 
 StereoMorph-1.6/StereoMorph/R/dltEpipolarLine.R                                     |    2 
 StereoMorph-1.6/StereoMorph/R/dltTestCalibration.R                                  |   62 +
 StereoMorph-1.6/StereoMorph/R/epipolarBezier.R                                      |only
 StereoMorph-1.6/StereoMorph/R/estimateDLTCoefficients.R                             |    2 
 StereoMorph-1.6/StereoMorph/R/estimateDistortion.R                                  |   68 -
 StereoMorph-1.6/StereoMorph/R/estimateUndistortion.R                                |only
 StereoMorph-1.6/StereoMorph/R/extractFrames.R                                       |only
 StereoMorph-1.6/StereoMorph/R/findCheckerboardCorners.R                             |    5 
 StereoMorph-1.6/StereoMorph/R/findInterpointDistanceError.R                         |   13 
 StereoMorph-1.6/StereoMorph/R/matchCurvePoints.R                                    |    2 
 StereoMorph-1.6/StereoMorph/R/process_digitize_images_input.R                       |   67 +
 StereoMorph-1.6/StereoMorph/R/readTPS.R                                             |only
 StereoMorph-1.6/StereoMorph/R/read_video_info.R                                     |only
 StereoMorph-1.6/StereoMorph/R/reconstructStereoSets.R                               |   19 
 StereoMorph-1.6/StereoMorph/R/reflectMissingLandmarks.R                             |    2 
 StereoMorph-1.6/StereoMorph/R/undistort.R                                           |   10 
 StereoMorph-1.6/StereoMorph/R/undistortShapes.R                                     |only
 StereoMorph-1.6/StereoMorph/R/undistortionError.R                                   |only
 StereoMorph-1.6/StereoMorph/R/uvector_SM.R                                          |    2 
 StereoMorph-1.6/StereoMorph/R/writeLMToTPS.R                                        |only
 StereoMorph-1.6/StereoMorph/inst/CITATION                                           |    4 
 StereoMorph-1.6/StereoMorph/inst/extdata/apps/digitizeImages/server.R               |   88 +-
 StereoMorph-1.6/StereoMorph/inst/extdata/apps/digitizeImages/session_parameters.txt |    2 
 StereoMorph-1.6/StereoMorph/inst/extdata/apps/digitizeImages/www/digitize_image.js  |  153 ++-
 StereoMorph-1.6/StereoMorph/man/StereoMorph-package.Rd                              |   16 
 StereoMorph-1.6/StereoMorph/man/calibrateCameras.Rd                                 |    2 
 StereoMorph-1.6/StereoMorph/man/digitizeImage.Rd                                    |   86 --
 StereoMorph-1.6/StereoMorph/man/digitizeImages.Rd                                   |    4 
 StereoMorph-1.6/StereoMorph/man/dltTestCalibration.Rd                               |    3 
 StereoMorph-1.6/StereoMorph/man/findCheckerboardCorners.Rd                          |    5 
 StereoMorph-1.6/StereoMorph/man/reconstructStereoSets.Rd                            |    2 
 StereoMorph-1.6/StereoMorph/src/RcppExports.cpp                                     |   98 +-
 StereoMorph-1.6/StereoMorph/src/generateQuads.cpp                                   |    4 
 45 files changed, 776 insertions(+), 820 deletions(-)

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New package rapiclient with initial version 0.1.2
Package: rapiclient
Type: Package
Title: Dynamic OpenAPI/Swagger Client
Version: 0.1.2
Authors@R: person("Darko", "Bergant", email = "darko.bergant@gmail.com", role = c("aut", "cre"))
URL: https://github.com/bergant/rapiclient
BugReports: https://github.com/bergant/rapiclient/issues
Description: Access services specified in OpenAPI (formerly Swagger) format. It is not a code generator. Client is generated dynamically as a list of R functions.
Depends: R (>= 3.3)
License: MIT + file LICENSE
Imports: jsonlite, httr
LazyData: TRUE
RoxygenNote: 5.0.1
Suggests: testthat
NeedsCompilation: no
Packaged: 2017-02-13 18:09:31 UTC; Dare
Author: Darko Bergant [aut, cre]
Maintainer: Darko Bergant <darko.bergant@gmail.com>
Repository: CRAN
Date/Publication: 2017-02-14 02:14:38

More information about rapiclient at CRAN
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Package quanteda updated to version 0.9.9-24 with previous version 0.9.9-22 dated 2017-02-08

Title: Quantitative Analysis of Textual Data
Description: A fast, flexible toolset for for the management, processing, and quantitative analysis of textual data in R.
Author: Kenneth Benoit [aut, cre, cph], Kohei Watanabe [ctb], Paul Nulty [ctb], Adam Obeng [ctb], Haiyan Wang [ctb], Benjamin Lauderdale [ctb], Will Lowe [ctb]
Maintainer: Kenneth Benoit <kbenoit@lse.ac.uk>

Diff between quanteda versions 0.9.9-22 dated 2017-02-08 and 0.9.9-24 dated 2017-02-13

 DESCRIPTION                        |   34 ++--
 MD5                                |  294 ++++++++++++++++++-------------------
 R/RcppExports.R                    |    4 
 R/readtext-methods.R               |    6 
 R/tokens.R                         |    2 
 R/zzz.R                            |    2 
 inst/doc/LitVignette.html          |    6 
 inst/doc/plotting.html             |    6 
 inst/doc/quickstart.R              |   10 -
 inst/doc/quickstart.Rmd            |   22 +-
 inst/doc/quickstart.html           |   39 ++--
 man/View.Rd                        |    3 
 man/applyDictionary.Rd             |    5 
 man/as.corpus.Rd                   |    1 
 man/as.corpus.corpuszip.Rd         |    1 
 man/as.list.dist.Rd                |    1 
 man/as.matrix.dfm.Rd               |    3 
 man/as.tokens.Rd                   |    5 
 man/cbind.dfm.Rd                   |    1 
 man/changeunits.Rd                 |    1 
 man/char_tolower.Rd                |    1 
 man/collocations.Rd                |    7 
 man/compress.Rd                    |    1 
 man/convert-wrappers.Rd            |    5 
 man/convert.Rd                     |    1 
 man/corpus-class.Rd                |   11 -
 man/corpus.Rd                      |    8 -
 man/corpus_reshape.Rd              |    1 
 man/corpus_sample.Rd               |    1 
 man/corpus_segment.Rd              |    3 
 man/corpus_subset.Rd               |    1 
 man/data-deprecated.Rd             |    9 -
 man/data-internal.Rd               |    6 
 man/data_char_mobydick.Rd          |    1 
 man/data_char_sampletext.Rd        |    1 
 man/data_char_ukimmig2010.Rd       |    1 
 man/data_corpus_inaugural.Rd       |    3 
 man/data_corpus_irishbudget2010.Rd |    1 
 man/data_dfm_LBGexample.Rd         |    1 
 man/deprecated-textstat.Rd         |    1 
 man/dfm-class.Rd                   |   34 ++--
 man/dfm.Rd                         |    1 
 man/dfm2lsa.Rd                     |    1 
 man/dfm_compress.Rd                |    1 
 man/dfm_lookup.Rd                  |    1 
 man/dfm_sample.Rd                  |    1 
 man/dfm_select.Rd                  |    5 
 man/dfm_sort.Rd                    |    1 
 man/dfm_tolower.Rd                 |    1 
 man/dfm_trim.Rd                    |    7 
 man/dfm_weight.Rd                  |    9 -
 man/dictionary-class.Rd            |    2 
 man/dictionary.Rd                  |    1 
 man/docfreq.Rd                     |    1 
 man/docnames.Rd                    |    1 
 man/docvars.Rd                     |    1 
 man/fcm-class.Rd                   |    2 
 man/fcm.Rd                         |   12 -
 man/fcm_sort.Rd                    |    1 
 man/featnames.Rd                   |    1 
 man/features.Rd                    |    1 
 man/head.dfm.Rd                    |    1 
 man/is.collocations.Rd             |    1 
 man/is.dfm.Rd                      |    3 
 man/is.dictionary.Rd               |    1 
 man/joinTokens.Rd                  |    1 
 man/keyness.Rd                     |    1 
 man/kwic.Rd                        |    5 
 man/kwic_old.Rd                    |    1 
 man/kwic_split.Rd                  |    1 
 man/metacorpus.Rd                  |    1 
 man/metadoc.Rd                     |    1 
 man/ndoc.Rd                        |    1 
 man/ngrams.Rd                      |    1 
 man/nscrabble.Rd                   |    1 
 man/nsentence.Rd                   |    1 
 man/nsyllable.Rd                   |    1 
 man/ntoken.Rd                      |    1 
 man/phrasetotoken.Rd               |    5 
 man/plot-deprecated.Rd             |    1 
 man/predict.textmodel.Rd           |    1 
 man/print.dfm.Rd                   |    5 
 man/quanteda-package.Rd            |   22 ++
 man/reassign_attributes.Rd         |    1 
 man/removeFeatures.Rd              |    7 
 man/sample.Rd                      |    3 
 man/scrabble.Rd                    |    1 
 man/segment.Rd                     |    1 
 man/selectFeatures.Rd              |    3 
 man/selectFeaturesOLD.Rd           |    5 
 man/sequence2list.Rd               |    1 
 man/sequences.Rd                   |    7 
 man/settings.Rd                    |    5 
 man/similarity.Rd                  |    3 
 man/sort.dfm.Rd                    |    1 
 man/sparsity.Rd                    |    1 
 man/stopwords.Rd                   |    2 
 man/subset.corpus.Rd               |    1 
 man/summary.corpus.Rd              |    1 
 man/syllables.Rd                   |    1 
 man/textfile.Rd                    |    5 
 man/textmodel-internal.Rd          |   20 +-
 man/textmodel.Rd                   |    2 
 man/textmodel_NB.Rd                |    2 
 man/textmodel_ca.Rd                |    1 
 man/textmodel_fitted-class.Rd      |    2 
 man/textmodel_wordfish.Rd          |    7 
 man/textmodel_wordscores.Rd        |    9 -
 man/textmodel_wordshoal.Rd         |    7 
 man/textplot_scale1d.Rd            |    7 
 man/textplot_wordcloud.Rd          |    1 
 man/textplot_xray.Rd               |    1 
 man/texts.Rd                       |    3 
 man/textstat_keyness.Rd            |    1 
 man/textstat_lexdiv.Rd             |    9 -
 man/textstat_readability.Rd        |    1 
 man/textstat_simil.Rd              |    7 
 man/tf.Rd                          |    7 
 man/tfidf.Rd                       |    1 
 man/toLower.Rd                     |   11 -
 man/tokenize.Rd                    |   18 +-
 man/tokens.Rd                      |    2 
 man/tokens_compound.Rd             |    1 
 man/tokens_hash.Rd                 |    1 
 man/tokens_hashed_recompile.Rd     |    1 
 man/tokens_lookup.Rd               |    1 
 man/tokens_ngrams.Rd               |    9 -
 man/tokens_select.Rd               |    3 
 man/tokens_tolower.Rd              |    1 
 man/tokens_wordstem.Rd             |    3 
 man/topfeatures.Rd                 |    1 
 man/trim.Rd                        |    1 
 man/valuetype.Rd                   |    1 
 man/vector2list.Rd                 |    1 
 man/weight.Rd                      |    3 
 man/wordstem.Rd                    |    5 
 src/RcppExports.cpp                |   12 -
 src/dist_mt.cpp                    |   33 ----
 src/quanteda.h                     |   19 +-
 src/tokens_compound_mt.cpp         |   31 ++-
 src/tokens_detect_mt.cpp           |   13 -
 src/tokens_lookup_mt.cpp           |    6 
 src/tokens_match_mt.cpp            |   13 -
 src/tokens_ngrams_mt.cpp           |    6 
 src/tokens_replace_mt.cpp          |   14 -
 src/tokens_select_mt.cpp           |   13 -
 src/utility.cpp                    |   18 +-
 vignettes/quickstart.Rmd           |   22 +-
 148 files changed, 462 insertions(+), 590 deletions(-)

More information about quanteda at CRAN
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Package rmcfs updated to version 1.2.2 with previous version 1.1.2 dated 2016-10-25

Title: The MCFS-ID Algorithm for Feature Selection and Interdependency Discovery
Description: MCFS-ID (Monte Carlo Feature Selection and Interdependency Discovery) is a Monte Carlo method-based tool for feature selection. It also allows for the discovery of interdependencies between the relevant features. MCFS-ID is particularly suitable for the analysis of high-dimensional, 'small n large p' transactional and biological data.
Author: Michal Draminski [aut, cre], Jacek Koronacki [aut], Julian Zubek [ctb]
Maintainer: Michal Draminski <michal.draminski@ipipan.waw.pl>

Diff between rmcfs versions 1.1.2 dated 2016-10-25 and 1.2.2 dated 2017-02-13

 rmcfs-1.1.2/rmcfs/java/src/dmLab/mcfs/MCFSFinalCV.java                                   |only
 rmcfs-1.1.2/rmcfs/java/src/dmLab/mcfs/cutoffMethods/ContrastAttributesCutoff.java        |only
 rmcfs-1.2.2/rmcfs/DESCRIPTION                                                            |   12 
 rmcfs-1.2.2/rmcfs/MD5                                                                    |  196 +--
 rmcfs-1.2.2/rmcfs/NAMESPACE                                                              |    5 
 rmcfs-1.2.2/rmcfs/NEWS                                                                   |  223 +--
 rmcfs-1.2.2/rmcfs/R/rmcfs.R                                                              |  525 +++------
 rmcfs-1.2.2/rmcfs/R/rmcfs.io.R                                                           |only
 rmcfs-1.2.2/rmcfs/R/rmcfs.plot.R                                                         |  301 +++--
 rmcfs-1.2.2/rmcfs/R/utils.R                                                              |   85 +
 rmcfs-1.2.2/rmcfs/inst/CITATION                                                          |    4 
 rmcfs-1.2.2/rmcfs/inst/cfg/m5.cfg                                                        |only
 rmcfs-1.2.2/rmcfs/inst/java/dmLab.jar                                                    |binary
 rmcfs-1.2.2/rmcfs/java/README                                                            |    2 
 rmcfs-1.2.2/rmcfs/java/src/dmLab/DMLabInfo.java                                          |   10 
 rmcfs-1.2.2/rmcfs/java/src/dmLab/array/Array.java                                        |    2 
 rmcfs-1.2.2/rmcfs/java/src/dmLab/array/FArray.java                                       |   20 
 rmcfs-1.2.2/rmcfs/java/src/dmLab/array/functions/DiscFunctions.java                      |    3 
 rmcfs-1.2.2/rmcfs/java/src/dmLab/array/functions/ExtFunctions.java                       |    8 
 rmcfs-1.2.2/rmcfs/java/src/dmLab/array/functions/SelectFunctions.java                    |   46 
 rmcfs-1.2.2/rmcfs/java/src/dmLab/array/loader/File2Array.java                            |  144 +-
 rmcfs-1.2.2/rmcfs/java/src/dmLab/array/loader/fileLoader/FileLoader.java                 |  259 +---
 rmcfs-1.2.2/rmcfs/java/src/dmLab/array/loader/fileLoader/FileLoaderADH.java              |only
 rmcfs-1.2.2/rmcfs/java/src/dmLab/array/loader/fileLoader/FileLoaderADX.java              |  207 ++-
 rmcfs-1.2.2/rmcfs/java/src/dmLab/array/loader/fileLoader/FileLoaderArff.java             |   49 
 rmcfs-1.2.2/rmcfs/java/src/dmLab/array/loader/fileLoader/FileLoaderCSV.java              |  189 ++-
 rmcfs-1.2.2/rmcfs/java/src/dmLab/array/loader/fileLoader/FileType.java                   |   73 -
 rmcfs-1.2.2/rmcfs/java/src/dmLab/array/meta/Attribute.java                               |   18 
 rmcfs-1.2.2/rmcfs/java/src/dmLab/array/meta/AttributeDef.java                            |only
 rmcfs-1.2.2/rmcfs/java/src/dmLab/array/saver/Array2ADH.java                              |only
 rmcfs-1.2.2/rmcfs/java/src/dmLab/array/saver/Array2ADX.java                              |    4 
 rmcfs-1.2.2/rmcfs/java/src/dmLab/array/saver/Array2CSV.java                              |    4 
 rmcfs-1.2.2/rmcfs/java/src/dmLab/array/saver/Array2File.java                             |   11 
 rmcfs-1.2.2/rmcfs/java/src/dmLab/array/saver/Array2String.java                           |    2 
 rmcfs-1.2.2/rmcfs/java/src/dmLab/classifier/Params.java                                  |   34 
 rmcfs-1.2.2/rmcfs/java/src/dmLab/classifier/PredictionResult.java                        |    4 
 rmcfs-1.2.2/rmcfs/java/src/dmLab/classifier/WekaTree.java                                |    6 
 rmcfs-1.2.2/rmcfs/java/src/dmLab/classifier/adx/ADXClassifier.java                       |   59 -
 rmcfs-1.2.2/rmcfs/java/src/dmLab/classifier/adx/complex/Complex.java                     |   16 
 rmcfs-1.2.2/rmcfs/java/src/dmLab/classifier/adx/complex/ComplexSet.java                  |   10 
 rmcfs-1.2.2/rmcfs/java/src/dmLab/classifier/adx/complex/complexLinks/ComplexLink.java    |    2 
 rmcfs-1.2.2/rmcfs/java/src/dmLab/classifier/adx/complex/complexLinks/ComplexLinks.java   |    6 
 rmcfs-1.2.2/rmcfs/java/src/dmLab/classifier/adx/ruleFamily/Coverage.java                 |    6 
 rmcfs-1.2.2/rmcfs/java/src/dmLab/classifier/adx/ruleFamily/RuleFamily.java               |   38 
 rmcfs-1.2.2/rmcfs/java/src/dmLab/classifier/adx/ruleSet/RuleSet.java                     |   30 
 rmcfs-1.2.2/rmcfs/java/src/dmLab/classifier/adx/selector/Selector.java                   |    6 
 rmcfs-1.2.2/rmcfs/java/src/dmLab/classifier/adx/selector/SelectorList.java               |    6 
 rmcfs-1.2.2/rmcfs/java/src/dmLab/classifier/ensemble/EnsembleClassifier.java             |   19 
 rmcfs-1.2.2/rmcfs/java/src/dmLab/classifier/j48/J48Classifier.java                       |    6 
 rmcfs-1.2.2/rmcfs/java/src/dmLab/classifier/rnd/RNDClassifier.java                       |   18 
 rmcfs-1.2.2/rmcfs/java/src/dmLab/classifier/sliq/SliqClassifier.java                     |    7 
 rmcfs-1.2.2/rmcfs/java/src/dmLab/discretizer/DiscretizerParams.java                      |   11 
 rmcfs-1.2.2/rmcfs/java/src/dmLab/experiment/ExperimentParams.java                        |   33 
 rmcfs-1.2.2/rmcfs/java/src/dmLab/experiment/classification/ClassificationBody.java       |   43 
 rmcfs-1.2.2/rmcfs/java/src/dmLab/experiment/classification/ClassificationParams.java     |   29 
 rmcfs-1.2.2/rmcfs/java/src/dmLab/experiment/discretization/DiscretizationBody.java       |   53 
 rmcfs-1.2.2/rmcfs/java/src/dmLab/experiment/discretization/DiscretizationParams.java     |    3 
 rmcfs-1.2.2/rmcfs/java/src/dmLab/experiment/ensembleOptimization/EnsembleExperiment.java |   10 
 rmcfs-1.2.2/rmcfs/java/src/dmLab/gui/chartPanel/MyLineChart.java                         |    4 
 rmcfs-1.2.2/rmcfs/java/src/dmLab/gui/dataEditor/ContainerOperations.java                 |    2 
 rmcfs-1.2.2/rmcfs/java/src/dmLab/gui/dataEditor/EditorBody.java                          |    9 
 rmcfs-1.2.2/rmcfs/java/src/dmLab/gui/dataEditor/panels/AttrFilterPanel.java              |    2 
 rmcfs-1.2.2/rmcfs/java/src/dmLab/gui/graphViewer/GraphViewerBody.java                    |    2 
 rmcfs-1.2.2/rmcfs/java/src/dmLab/gui/graphViewer/visualization/GraphVisualization.java   |    2 
 rmcfs-1.2.2/rmcfs/java/src/dmLab/gui/mainWindow/MCFSPanel.java                           |   89 -
 rmcfs-1.2.2/rmcfs/java/src/dmLab/gui/mainWindow/MainWindow.java                          |    3 
 rmcfs-1.2.2/rmcfs/java/src/dmLab/mcfs/MCFS.java                                          |   52 
 rmcfs-1.2.2/rmcfs/java/src/dmLab/mcfs/MCFSParams.java                                    |  381 +++---
 rmcfs-1.2.2/rmcfs/java/src/dmLab/mcfs/attributesID/DependencyFactors.java                |    1 
 rmcfs-1.2.2/rmcfs/java/src/dmLab/mcfs/attributesRI/AttributesRI.java                     |    8 
 rmcfs-1.2.2/rmcfs/java/src/dmLab/mcfs/cutoffMethods/ContrastCutoff.java                  |only
 rmcfs-1.2.2/rmcfs/java/src/dmLab/mcfs/cutoffMethods/CriticalAngleCutoff.java             |    2 
 rmcfs-1.2.2/rmcfs/java/src/dmLab/mcfs/cutoffMethods/Cutoff.java                          |   38 
 rmcfs-1.2.2/rmcfs/java/src/dmLab/mcfs/cutoffMethods/KMeansCutoff.java                    |    2 
 rmcfs-1.2.2/rmcfs/java/src/dmLab/mcfs/mcfsEngine/MCFSAutoParams.java                     |only
 rmcfs-1.2.2/rmcfs/java/src/dmLab/mcfs/mcfsEngine/MCFSExperiment.java                     |  575 +++++-----
 rmcfs-1.2.2/rmcfs/java/src/dmLab/mcfs/mcfsEngine/MCFSFinalCV.java                        |only
 rmcfs-1.2.2/rmcfs/java/src/dmLab/mcfs/mcfsEngine/arrays/MCFSArrays.java                  |   17 
 rmcfs-1.2.2/rmcfs/java/src/dmLab/mcfs/mcfsEngine/framework/GlobalStats.java              |   60 -
 rmcfs-1.2.2/rmcfs/java/src/dmLab/mcfs/mcfsEngine/framework/MCFSClassic.java              |    7 
 rmcfs-1.2.2/rmcfs/java/src/dmLab/mcfs/mcfsEngine/framework/MCFSFramework.java            |  367 +++---
 rmcfs-1.2.2/rmcfs/java/src/dmLab/mcfs/mcfsEngine/framework/MCFSPermutation.java          |   16 
 rmcfs-1.2.2/rmcfs/java/src/dmLab/mcfs/mcfsEngine/modules/Projection.java                 |   33 
 rmcfs-1.2.2/rmcfs/java/src/dmLab/mcfs/mcfsEngine/modules/Split.java                      |   26 
 rmcfs-1.2.2/rmcfs/java/src/dmLab/mcfs/tree/Tree.java                                     |  184 +--
 rmcfs-1.2.2/rmcfs/java/src/dmLab/mcfs/tree/TreeNode.java                                 |    2 
 rmcfs-1.2.2/rmcfs/java/src/dmLab/utils/FileUtils.java                                    |  177 ++-
 rmcfs-1.2.2/rmcfs/java/src/dmLab/utils/GeneralUtils.java                                 |   26 
 rmcfs-1.2.2/rmcfs/java/src/dmLab/utils/ProgressCounter.java                              |only
 rmcfs-1.2.2/rmcfs/java/src/dmLab/utils/StringUtils.java                                  |   12 
 rmcfs-1.2.2/rmcfs/java/src/dmLab/utils/cmatrix/ConfusionMatrix.java                      |    8 
 rmcfs-1.2.2/rmcfs/man/artificial.data.Rd                                                 |    8 
 rmcfs-1.2.2/rmcfs/man/build.idgraph.Rd                                                   |   18 
 rmcfs-1.2.2/rmcfs/man/export.result.Rd                                                   |   15 
 rmcfs-1.2.2/rmcfs/man/filter.data.Rd                                                     |   11 
 rmcfs-1.2.2/rmcfs/man/fix.data.Rd                                                        |   29 
 rmcfs-1.2.2/rmcfs/man/import.result.Rd                                                   |    9 
 rmcfs-1.2.2/rmcfs/man/mcfs.Rd                                                            |  110 -
 rmcfs-1.2.2/rmcfs/man/plot.idgraph.Rd                                                    |   17 
 rmcfs-1.2.2/rmcfs/man/plot.mcfs.Rd                                                       |   48 
 rmcfs-1.2.2/rmcfs/man/print.mcfs.Rd                                                      |    7 
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New package LEGIT with initial version 1.0.0
Package: LEGIT
Title: Latent Environmental & Genetic InTeraction (LEGIT) Model
Version: 1.0.0
Date: 2017-02-13
Author: Alexia Jolicoeur-Martineau <alexia.jolicoeur-martineau@mail.mcgill.ca>
Maintainer: Alexia Jolicoeur-Martineau <alexia.jolicoeur-martineau@mail.mcgill.ca>
Description: Constructs genotype x environment interaction (GxE) models where G is a weighted sum of genetic variants (genetic score) and E is a weighted sum of environments (environmental score). This approach has greatly enhanced predictive power over traditional GxE models which include only a single genetic variant and a single environmental exposure. Gene x gene interactions (GxG) and environment x environment interactions (ExE) can be incorporated into the genetic and environmental scores. Any standard model formula can be used, it doesn't have to be a two-way interaction model. Although this approach was made for GxE modelling, the genetic score doesn't need to contain genetic variables and the environmental score doesn't need to contain environmental variables, therefore this approach is highly flexible. A paper discussing the method used for estimating the weights should be released as pre-print and sent for peer- review before Summer 2017.
License: GPL-3
Imports: pROC
Depends: formula.tools, stats
RoxygenNote: 5.0.1
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2017-02-13 16:23:17 UTC; Alexia
Repository: CRAN
Date/Publication: 2017-02-13 23:59:40

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New package healthcareai with initial version 0.1.11
Package: healthcareai
Type: Package
Title: Tools for Healthcare Machine Learning
Version: 0.1.11
Date: 2017-02-09
Authors@R: c( person("Levi", "Thatcher", email = "levi.thatcher@healthcatalyst.com", role = c("aut", "cre")), person("Mike", "Mastanduno", email = "mike.mastanduno@healthcatalyst.com", role = "aut"), person("Taylor", "Miller", email = "taylor.miller@healthcatalyst.com", role = "aut"), person("Taylor", "Larsen", email = "taylor.larsen@healthcatalyst.com", role = "aut"))
Description: A machine learning toolbox tailored to healthcare data. Aids in data cleaning, model development, hyperparameter tuning, and model deployment in a production SQL environment. Algorithms currently supported are Lasso, Random Forest, and Linear Mixed Model.
License: MIT + file LICENSE
LazyData: TRUE
Imports: caret, data.table, doParallel, e1071, grpreg, lme4, lubridate, pROC, R6, ranger, ROCR, RODBC
RoxygenNote: 6.0.0
Suggests: testthat
NeedsCompilation: no
Packaged: 2017-02-10 03:28:44 UTC; michael.mastanduno
Author: Levi Thatcher [aut, cre], Mike Mastanduno [aut], Taylor Miller [aut], Taylor Larsen [aut]
Maintainer: Levi Thatcher <levi.thatcher@healthcatalyst.com>
Repository: CRAN
Date/Publication: 2017-02-14 00:08:16

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New package dgodata with initial version 0.0.2
Package: dgodata
Title: Data for the 'dgo' Package
Version: 0.0.2
Description: Provides data used by package 'dgo' in examples and vignettes.
Maintainer: James Dunham <james@jdunham.io>
Authors@R: c( person("James", "Dunham", email = "james@jdunham.io", role = c("aut", "cre")), person("Devin", "Caughey", email = "caughey@mit.edu", role = c("aut")), person("Christopher", "Warshaw", email = "cwarshaw@mit.edu", role = c("aut")) )
License: GPL-3
URL: https://github.com/jamesdunham/dgodata
BugReports: https://github.com/jamesdunham/dgodata/issues
Depends: R (>= 2.10.0)
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-02-13 21:01:14 UTC; james
Author: James Dunham [aut, cre], Devin Caughey [aut], Christopher Warshaw [aut]
Repository: CRAN
Date/Publication: 2017-02-14 00:12:55

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Package waterData updated to version 1.0.6 with previous version 1.0.5 dated 2017-01-04

Title: Retrieval, Analysis, and Anomaly Calculation of Daily Hydrologic Time Series Data
Description: Imports U.S. Geological Survey (USGS) daily hydrologic data from USGS web services (see <https://waterservices.usgs.gov/> for more information), plots the data, addresses some common data problems, and calculates and plots anomalies.
Author: Karen R. Ryberg and Aldo V. Vecchia
Maintainer: Karen R. Ryberg <kryberg@usgs.gov>

Diff between waterData versions 1.0.5 dated 2017-01-04 and 1.0.6 dated 2017-02-13

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Package s2dverification updated to version 2.8.0 with previous version 2.5.0 dated 2016-02-17

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], Javier Garcia-Serrano [aut], Neven Fuckar [aut], Luis Rodrigues [aut], Louis-Philippe Caron [aut], Omar Bellprat [aut], Veronica Torralba [aut], Alasdair Hunter [aut], Chloe Prodhomme [aut], Constantin Ardilouze [aut], Lauriane Batte [aut], Martin Menegoz [aut], Fabian Lienert [aut], Nube Gonzalez [aut], Ludovic Auger [aut], Isabel Andreu-Burillo [aut], Ramiro Saurral [aut]
Maintainer: Nicolau Manubens <nicolau.manubens@bsc.es>

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Package rprev updated to version 0.2.3 with previous version 0.2.2 dated 2016-09-02

Title: Estimating Disease Prevalence from Registry Data
Description: Estimates disease prevalence for a given index date, using existing registry data extended with Monte Carlo simulations.
Author: Simon Crouch [aut], Stephanie Lax [aut], Stuart Lacy [cre, aut]
Maintainer: Stuart Lacy <stuart.lacy@york.ac.uk>

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Package PivotalR updated to version 0.1.18.3 with previous version 0.1.18.2 dated 2016-10-22

Title: A Fast, Easy-to-Use Tool for Manipulating Tables in Databases and a Wrapper of MADlib
Description: Provides an R interface for the Pivotal Data stack running on 'PostgreSQL', 'Greenplum' or 'Apache HAWQ (incubating)' databases with parallel and distributed computation ability for big data processing. 'PivotalR' provides an R interface to various database operations on tables or views. These operations are almost the same as the corresponding native R operations. Thus users of R do not need to learn 'SQL' when they operate on objects in the database. It also provides a wrapper for 'Apache MADlib (incubating)', which is an open- source library for parallel and scalable in-database analytics.
Author: Predictive Analytics Team at Pivotal Inc. <user@madlb.incubator.apache.org>, with contributions from Data Science Team at Pivotal Inc.
Maintainer: Rahul Iyer <riyer@pivotal.io>

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Package ecosim updated to version 1.3 with previous version 1.2 dated 2014-02-12

Title: Toolbox for Aquatic Ecosystem Modeling
Description: Classes and methods for implementing aquatic ecosystem models, for running these models, and for visualizing their results.
Author: Peter Reichert
Maintainer: Peter Reichert <peter.reichert@eawag.ch>

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Package discSurv updated to version 1.1.5 with previous version 1.1.3 dated 2016-05-10

Title: Discrete Time Survival Analysis
Description: Provides data transformations, estimation utilities, predictive evaluation measures and simulation functions for discrete time survival analysis.
Author: Thomas Welchowski <welchow@imbie.meb.uni-bonn.de> and Matthias Schmid <matthias.schmid@imbie.uni-bonn.de>
Maintainer: Thomas Welchowski <welchow@imbie.meb.uni-bonn.de>

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Package ChemoSpec updated to version 4.4.17 with previous version 4.4.1 dated 2016-12-29

Title: Exploratory Chemometrics for Spectroscopy
Description: A collection of functions for top-down exploratory data analysis of spectral data obtained via nuclear magnetic resonance (NMR), infrared (IR) or Raman spectroscopy. Includes functions for plotting and inspecting spectra, peak alignment, hierarchical cluster analysis (HCA), principal components analysis (PCA) and model-based clustering. Robust methods appropriate for this type of high-dimensional data are available. ChemoSpec is designed with metabolomics data sets in mind, where the samples fall into groups such as treatment and control. Graphical output is formatted consistently for publication quality plots. ChemoSpec is intended to be very user friendly and help you get usable results quickly. A vignette covering typical operations is available.
Author: Bryan A. Hanson [aut, cre], Mike Bostock [cph, ctb] (author of the d3.js library used in plotSpectraJS, http://d3js.org)
Maintainer: Bryan A. Hanson <hanson@depauw.edu>

Diff between ChemoSpec versions 4.4.1 dated 2016-12-29 and 4.4.17 dated 2017-02-13

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Package broom updated to version 0.4.2 with previous version 0.4.1 dated 2016-06-24

Title: Convert Statistical Analysis Objects into Tidy Data Frames
Description: Convert statistical analysis objects from R into tidy data frames, so that they can more easily be combined, reshaped and otherwise processed with tools like 'dplyr', 'tidyr' and 'ggplot2'. The package provides three S3 generics: tidy, which summarizes a model's statistical findings such as coefficients of a regression; augment, which adds columns to the original data such as predictions, residuals and cluster assignments; and glance, which provides a one-row summary of model-level statistics.
Author: David Robinson [aut, cre], Matthieu Gomez [ctb], Boris Demeshev [ctb], Dieter Menne [ctb], Benjamin Nutter [ctb], Luke Johnston [ctb], Ben Bolker [ctb], Francois Briatte [ctb], Jeffrey Arnold [ctb], Jonah Gabry [ctb], Luciano Selzer [ctb], Gavin Simpson [ctb], Jens Preussner [ctb], Jay Hesselberth [ctb], Hadley Wickham [ctb]
Maintainer: David Robinson <admiral.david@gmail.com>

Diff between broom versions 0.4.1 dated 2016-06-24 and 0.4.2 dated 2017-02-13

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Package AWR updated to version 1.11.89 with previous version 1.11.88 dated 2017-02-11

Title: 'AWS' Java 'SDK' for R
Description: Installs the compiled Java modules of the Amazon Web Services ('AWS') 'SDK' to be used in downstream R packages interacting with 'AWS'. See <https://aws.amazon.com/sdk-for-java> for more information on the 'AWS' 'SDK' for Java.
Author: Gergely Daroczi <gergely.daroczi@card.com>
Maintainer: Gergely Daroczi <gergely.daroczi@card.com>

Diff between AWR versions 1.11.88 dated 2017-02-11 and 1.11.89 dated 2017-02-13

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New package sequoia with initial version 0.7.2
Package: sequoia
Type: Package
Title: Pedigree Inference from SNPs
Version: 0.7.2
Date: 2017-01-19
Authors@R: person("Jisca", "Huisman", email = "jisca.huisman@gmail.com", role = c("aut", "cre"))
Description: Fast multi-generational pedigree inference from incomplete data on hundreds of SNPs, including parentage assignment and sibship clustering. See article "Pedigree reconstruction from SNP data: Parentage assignment, sibship clustering, and beyond" (Mol Ecol Res, under review) for more information.
License: GPL-2
LazyData: TRUE
Imports: plyr (>= 1.8.0), stats, utils
RoxygenNote: 5.0.1
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2017-02-13 11:08:13 UTC; jhuisman
Author: Jisca Huisman [aut, cre]
Maintainer: Jisca Huisman <jisca.huisman@gmail.com>
Repository: CRAN
Date/Publication: 2017-02-13 12:57:54

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Package meta updated to version 4.7-1 with previous version 4.7-0 dated 2016-12-16

Title: General Package for Meta-Analysis
Description: User-friendly general package providing standard methods for meta-analysis and supporting Schwarzer, Carpenter, and Rücker <DOI:10.1007/978-3-319-21416-0>, "Meta-Analysis with R" (2015): - fixed effect and random effects meta-analysis; - several plots (forest, funnel, Galbraith / radial, L'Abbe, Baujat, bubble); - statistical tests and trim-and-fill method to evaluate bias in meta-analysis; - import data from 'RevMan 5'; - prediction interval, Hartung-Knapp and Paule-Mandel method for random effects model; - cumulative meta-analysis and leave-one-out meta-analysis; - meta-regression (if R package 'metafor' is installed); - generalised linear mixed models (if R packages 'metafor', 'lme4', 'numDeriv', and 'BiasedUrn' are installed).
Author: Guido Schwarzer [cre, aut]
Maintainer: Guido Schwarzer <sc@imbi.uni-freiburg.de>

Diff between meta versions 4.7-0 dated 2016-12-16 and 4.7-1 dated 2017-02-13

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Package LiblineaR updated to version 2.10-8 with previous version 1.94-2 dated 2015-02-04

Title: Linear Predictive Models Based on the 'LIBLINEAR' C/C++ Library
Description: A wrapper around the 'LIBLINEAR' C/C++ library for machine learning (available at <http://www.csie.ntu.edu.tw/~cjlin/liblinear>). 'LIBLINEAR' is a simple library for solving large-scale regularized linear classification and regression. It currently supports L2-regularized classification (such as logistic regression, L2-loss linear SVM and L1-loss linear SVM) as well as L1-regularized classification (such as L2-loss linear SVM and logistic regression) and L2-regularized support vector regression (with L1- or L2-loss). The main features of LiblineaR include multi-class classification (one-vs-the rest, and Crammer & Singer method), cross validation for model selection, probability estimates (logistic regression only) or weights for unbalanced data. The estimation of the models is particularly fast as compared to other libraries.
Author: Thibault Helleputte <thibault.helleputte@dnalytics.com>; Pierre Gramme <pierre.gramme@dnalytics.com>; Jerome Paul <jerome.paul@dnalytics.com>
Maintainer: Thibault Helleputte <thibault.helleputte@dnalytics.com>

Diff between LiblineaR versions 1.94-2 dated 2015-02-04 and 2.10-8 dated 2017-02-13

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Package cope updated to version 0.2.3 with previous version 0.1 dated 2015-01-27

Title: Coverage Probability Excursion (CoPE) Sets
Description: Provides functions to compute and plot Coverage Probability Excursion (CoPE) sets for real valued functions on a 2-dimensional domain. CoPE sets are obtained from repeated noisy observations of the function on the entire domain. They are designed to bound the excursion set of the target function at a given level from above and below with a predefined probability. The target function can be a parameter in spatially-indexed linear regression. Support by NIH grant R01 CA157528 is gratefully acknowledged.
Author: Max Sommerfeld [aut, cre], Joshua French [aut], Armin Schwartzman [aut]
Maintainer: Max Sommerfeld <max.sommerfeld@mathematik.uni-goettingen.de>

Diff between cope versions 0.1 dated 2015-01-27 and 0.2.3 dated 2017-02-13

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Package HistDAWass updated to version 0.1.6 with previous version 0.1.4 dated 2016-01-12

Title: Histogram-Valued Data Analysis
Description: In the framework of Symbolic Data Analysis, a relatively new approach to the statistical analysis of multi-valued data, we consider histogram-valued data, i.e., data described by univariate histograms. The methods and the basic statistics for histogram-valued data are mainly based on the L2 Wasserstein metric between distributions, i.e., a Euclidean metric between quantile functions. The package contains unsupervised classification techniques, least square regression and tools for histogram-valued data and for histogram time series.
Author: Antonio Irpino [aut, cre]
Maintainer: Antonio Irpino <antonio.irpino@unina2.it>

Diff between HistDAWass versions 0.1.4 dated 2016-01-12 and 0.1.6 dated 2017-02-13

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New package nlsr with initial version 2017.2.12
Package: nlsr
Type: Package
Title: Functions for Nonlinear Least Squares Solutions
Version: 2017.2.12
Authors@R: c( person(given = c("John", "C"), family = "Nash", role = c("aut", "cre"), email = "nashjc@uottawa.ca"), person(given = "Duncan", family = "Murdoch", role = "aut", email = "murdoch.duncan@gmail.com") )
Maintainer: John C Nash <nashjc@uottawa.ca>
Description: Provides tools for working with nonlinear least squares problems. It is intended to eventually supersede the nls() function in the R distribution. For example, nls() specifically does NOT deal with small or zero residual problems. Its Gauss-Newton method frequently stops with 'singular gradient' messages.
License: GPL-2
Depends: R (>= 3.0)
Imports: digest
Suggests: minpack.lm, optimr, Rvmmin, Rcgmin, numDeriv, knitr, rmarkdown, Ryacas, Deriv, nlmrt
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2017-02-12 20:50:48 UTC; john
Author: John C Nash [aut, cre], Duncan Murdoch [aut]
Repository: CRAN
Date/Publication: 2017-02-13 08:39:50

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New package jmv with initial version 0.7.0
Package: jmv
Type: Package
Title: The 'jamovi' Analyses
Version: 0.7.0
Date: 2017-02-13
Author: Jonathon Love, Damian Dropmann, Ravi Selker
Maintainer: Jonathon Love <jon@thon.cc>
Description: 'jamovi' is a rich graphical statistics program providing many common statistical tests such as t-tests, ANOVAs, correlation matrices, proportion tests, contingency tables, etc (see <https://www.jamovi.org> for more information). This package makes all of the basic 'jamovi' analyses available to the R user.
License: GPL (>= 2)
Depends: R (>= 3.2)
Imports: jmvcore (>= 0.3), R6, car, multcomp, ggplot2, PMCMR, lsmeans, lsr, vcd, vcdExtra, GGally, BayesFactor, psych, GPArotation, afex
Encoding: UTF-8
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2017-02-13 04:49:29 UTC; jonathon
Repository: CRAN
Date/Publication: 2017-02-13 08:39:47

More information about jmv at CRAN
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