Title: 'Rcpp' Dynamic Programming
Description: Dynamic Programming implemented in 'Rcpp'. Includes example partition and out of sample fitting applications. Also supplies additional custom coders for the 'vtreat' package.
Author: John Mount [aut, cre],
Nina Zumel [aut],
Win-Vector LLC [cph]
Maintainer: John Mount <jmount@win-vector.com>
Diff between RcppDynProg versions 0.1.1 dated 2019-02-03 and 0.1.2 dated 2019-03-31
RcppDynProg-0.1.1/RcppDynProg/inst/doc/RcppDynProg.R |only RcppDynProg-0.1.1/RcppDynProg/man/run_package_tests.Rd |only RcppDynProg-0.1.2/RcppDynProg/DESCRIPTION | 12 RcppDynProg-0.1.2/RcppDynProg/MD5 | 37 +- RcppDynProg-0.1.2/RcppDynProg/NAMESPACE | 2 RcppDynProg-0.1.2/RcppDynProg/NEWS.md | 5 RcppDynProg-0.1.2/RcppDynProg/R/run_package_tests.R | 90 +---- RcppDynProg-0.1.2/RcppDynProg/build/vignette.rds |binary RcppDynProg-0.1.2/RcppDynProg/inst/doc/RcppDynProg.Rmd | 211 ------------- RcppDynProg-0.1.2/RcppDynProg/inst/doc/RcppDynProg.html | 173 ---------- RcppDynProg-0.1.2/RcppDynProg/inst/doc/Segmentation.R | 93 +++-- RcppDynProg-0.1.2/RcppDynProg/inst/doc/Segmentation.Rmd | 93 +++-- RcppDynProg-0.1.2/RcppDynProg/inst/doc/Segmentation.html | 127 +++++-- RcppDynProg-0.1.2/RcppDynProg/inst/doc/SegmentationL.R | 56 ++- RcppDynProg-0.1.2/RcppDynProg/inst/doc/SegmentationL.Rmd | 56 ++- RcppDynProg-0.1.2/RcppDynProg/inst/doc/SegmentationL.html | 88 +++-- RcppDynProg-0.1.2/RcppDynProg/man/run_RcppDynProg_tests.Rd |only RcppDynProg-0.1.2/RcppDynProg/tests/run_tests.R | 14 RcppDynProg-0.1.2/RcppDynProg/vignettes/RcppDynProg.Rmd | 211 ------------- RcppDynProg-0.1.2/RcppDynProg/vignettes/Segmentation.Rmd | 93 +++-- RcppDynProg-0.1.2/RcppDynProg/vignettes/SegmentationL.Rmd | 56 ++- 21 files changed, 501 insertions(+), 916 deletions(-)
Title: The L-Logistic Distribution
Description: Density, distribution function, quantile function and random generation for the L-Logistic distribution with parameters m and phi. The parameter m is the median of the distribution.
Author: Rosineide Fernando da Paz [aut, cre],
Jorge Luís Bazán [ctb]
Maintainer: Rosineide Fernando da Paz <rfpaz2@gmail.com>
Diff between llogistic versions 1.0.0 dated 2017-07-16 and 1.0.3 dated 2019-03-31
DESCRIPTION | 10 +++++----- MD5 | 12 ++++++------ R/dllogistic.R | 29 +++++++++++++++-------------- R/pllogistic.R | 4 ++-- R/qllogistic.R | 4 ++-- R/rllogistic.R | 4 ++-- man/llogistic.Rd | 31 ++++++++++++++----------------- 7 files changed, 46 insertions(+), 48 deletions(-)
Title: A Statistically Sound 'data.frame' Processor/Conditioner
Description: A 'data.frame' processor/conditioner that prepares real-world data for predictive modeling in a statistically sound manner.
'vtreat' prepares variables so that data has fewer exceptional cases, making
it easier to safely use models in production. Common problems 'vtreat' defends
against: 'Inf', 'NA', too many categorical levels, rare categorical levels, and new
categorical levels (levels seen during application, but not during training). Reference:
"'vtreat': a data.frame Processor for Predictive Modeling", 'Zumel', 'Mount', 2016, DOI:10.5281/zenodo.1173314.
Author: John Mount [aut, cre],
Nina Zumel [aut],
Win-Vector LLC [cph]
Maintainer: John Mount <jmount@win-vector.com>
Diff between vtreat versions 1.3.7 dated 2019-02-21 and 1.3.8 dated 2019-03-31
DESCRIPTION | 16 MD5 | 65 +-- NAMESPACE | 3 NEWS.md | 6 R/outOfSample.R | 18 R/variable_importance.R | 10 R/vtreat_pipes.R |only README.md | 74 ++- inst/doc/MultiClassVtreat.html | 4 inst/doc/SavingTreamentPlans.html | 4 inst/doc/VariableImportance.html | 743 -------------------------------------- inst/doc/vtreat.Rmd | 2 inst/doc/vtreat.html | 54 +- inst/doc/vtreatCrossFrames.html | 38 - inst/doc/vtreatGrouping.R | 41 -- inst/doc/vtreatGrouping.Rmd | 40 -- inst/doc/vtreatGrouping.html | 13 inst/doc/vtreatOverfit.html | 38 - inst/doc/vtreatRareLevels.R | 6 inst/doc/vtreatRareLevels.Rmd | 6 inst/doc/vtreatRareLevels.html | 13 inst/doc/vtreatScaleMode.html | 16 inst/doc/vtreatSignificance.html | 18 inst/doc/vtreatSplitting.R | 15 inst/doc/vtreatSplitting.Rmd | 15 inst/doc/vtreatSplitting.html | 22 - inst/doc/vtreatVariableTypes.html | 42 +- man/kWayStratifiedY.Rd | 18 man/value_variables_C.Rd | 6 man/value_variables_N.Rd | 7 vignettes/vtreat.Rmd | 2 vignettes/vtreatGrouping.Rmd | 40 -- vignettes/vtreatRareLevels.Rmd | 6 vignettes/vtreatSplitting.Rmd | 15 34 files changed, 235 insertions(+), 1181 deletions(-)
Title: Patches to Use 'dplyr' on Remote Data Sources
Description: Patches to use 'dplyr' on remote data sources ('SQL' databases,
'Spark' 2.0.0 and above) in a reliable "generic" fashion (generic meaning
user code works similarly on all such sources, without needing per-source
adaption). Due to the fluctuating nature of 'dplyr'/'dbplyr'/'rlang' 'APIs' this package
is going into maintenance mode. Most of the 'replyr' functions are already
done better by one of the non-monolithic replacement packages: 'wrapr', 'seplyr', 'rquery',
or 'cdata'.
Author: John Mount [aut, cre],
Nina Zumel [aut],
Win-Vector LLC [cph]
Maintainer: John Mount <jmount@win-vector.com>
Diff between replyr versions 0.9.9 dated 2019-01-02 and 1.0.0 dated 2019-03-31
DESCRIPTION | 14 +++---- MD5 | 26 +++++++------- NEWS.md | 4 ++ README.md | 18 +++++----- inst/doc/DependencySorting.html | 64 ++++++++++++++++++++++++------------ inst/doc/ParametricExample.html | 30 ++++++++++++++-- inst/doc/coalesce.html | 34 +++++++++++++++---- inst/doc/joinController.html | 71 +++++++++++++++++++++++++++------------- inst/doc/letExample.R | 45 ------------------------- inst/doc/letExample.Rmd | 49 --------------------------- inst/doc/letExample.html | 71 ++++++++++++++-------------------------- inst/doc/replyr.html | 40 +++++++++++++++++----- inst/doc/summary.html | 33 +++++++++++++++--- vignettes/letExample.Rmd | 49 --------------------------- 14 files changed, 263 insertions(+), 285 deletions(-)
Title: Extremely Fast Implementation of a Naive Bayes Classifier
Description: This is an extremely fast implementation of a Naive Bayes classifier.
This package is currently the only package that supports a Bernoulli distribution,
a Multinomial distribution, and a Gaussian distribution, making it suitable for
both binary features, frequency counts, and numerical features. Another unique
feature is the support of a mix of different event models. Only numerical variables are allowed,
however, categorical variables can be transformed into dummies and used with
the Bernoulli distribution. This implementation offers a huge performance
gain compared to the 'e1071' implementation in R. The execution times were compared
on a data set of tweets and was found to be around 1135 times faster. Compared to other implementations
the minimum speed up was found to be 12.5 times faster for the Bernoulli distribution. See the vignette
for more details. This performance gain is only realized using a Bernoulli
event model. Furthermore, the Multinomial event model implementation is even slightly faster,
but incomparable since it was not implemented in 'e1071'. Compared to other implementations of a
Multinomial distribution, this package was found to give a speed up of 12.2 times.
The implementation is largely based on the paper
"A comparison of event models for Naive Bayes anti-spam e-mail filtering" written by
K.M. Schneider (2003) <doi:10.3115/1067807>.
Any issues can be submitted to: <https://github.com/mskogholt/fastNaiveBayes/issues>.
Author: Martin Skogholt
Maintainer: Martin Skogholt <m.skogholt@gmail.com>
Diff between fastNaiveBayes versions 1.0.1 dated 2019-03-08 and 1.1.1 dated 2019-03-31
fastNaiveBayes-1.0.1/fastNaiveBayes/tests/testthat/test-fastnaivebayes.R |only fastNaiveBayes-1.1.1/fastNaiveBayes/DESCRIPTION | 13 fastNaiveBayes-1.1.1/fastNaiveBayes/MD5 | 67 +- fastNaiveBayes-1.1.1/fastNaiveBayes/NAMESPACE | 2 fastNaiveBayes-1.1.1/fastNaiveBayes/NEWS.md | 15 fastNaiveBayes-1.1.1/fastNaiveBayes/R/fastNaiveBayes.bernoulli.R | 63 +- fastNaiveBayes-1.1.1/fastNaiveBayes/R/fastNaiveBayes.bernoulli.default.R | 69 +- fastNaiveBayes-1.1.1/fastNaiveBayes/R/fastNaiveBayes.detect_distribution.R |only fastNaiveBayes-1.1.1/fastNaiveBayes/R/fastNaiveBayes.detect_distribution.default.R |only fastNaiveBayes-1.1.1/fastNaiveBayes/R/fastNaiveBayes.gaussian.R | 53 +- fastNaiveBayes-1.1.1/fastNaiveBayes/R/fastNaiveBayes.gaussian.default.R | 46 + fastNaiveBayes-1.1.1/fastNaiveBayes/R/fastNaiveBayes.mixed.R | 156 +++--- fastNaiveBayes-1.1.1/fastNaiveBayes/R/fastNaiveBayes.mixed.default.R | 63 +- fastNaiveBayes-1.1.1/fastNaiveBayes/R/fastNaiveBayes.multinomial.R | 51 - fastNaiveBayes-1.1.1/fastNaiveBayes/R/fastNaiveBayes.multinomial.default.R | 44 - fastNaiveBayes-1.1.1/fastNaiveBayes/R/predict.fastNaiveBayes.bernoulli.R | 97 +-- fastNaiveBayes-1.1.1/fastNaiveBayes/R/predict.fastNaiveBayes.gaussian.R | 107 ++-- fastNaiveBayes-1.1.1/fastNaiveBayes/R/predict.fastNaiveBayes.mixed.R | 195 ++++--- fastNaiveBayes-1.1.1/fastNaiveBayes/R/predict.fastNaiveBayes.multinomial.R | 81 +-- fastNaiveBayes-1.1.1/fastNaiveBayes/README.md | 4 fastNaiveBayes-1.1.1/fastNaiveBayes/inst/doc/fastnaivebayes.Rmd | 37 - fastNaiveBayes-1.1.1/fastNaiveBayes/inst/doc/fastnaivebayes.html | 89 +-- fastNaiveBayes-1.1.1/fastNaiveBayes/man/fastNaiveBayes.bernoulli.Rd | 55 +- fastNaiveBayes-1.1.1/fastNaiveBayes/man/fastNaiveBayes.detect_distribution.Rd |only fastNaiveBayes-1.1.1/fastNaiveBayes/man/fastNaiveBayes.gaussian.Rd | 50 + fastNaiveBayes-1.1.1/fastNaiveBayes/man/fastNaiveBayes.mixed.Rd | 160 +++--- fastNaiveBayes-1.1.1/fastNaiveBayes/man/fastNaiveBayes.multinomial.Rd | 43 - fastNaiveBayes-1.1.1/fastNaiveBayes/man/predict.fastNaiveBayes.bernoulli.Rd | 55 +- fastNaiveBayes-1.1.1/fastNaiveBayes/man/predict.fastNaiveBayes.gaussian.Rd | 43 - fastNaiveBayes-1.1.1/fastNaiveBayes/man/predict.fastNaiveBayes.mixed.Rd | 147 ++--- fastNaiveBayes-1.1.1/fastNaiveBayes/man/predict.fastNaiveBayes.multinomial.Rd | 43 - fastNaiveBayes-1.1.1/fastNaiveBayes/tests/testthat/test-fastnaivebayes_bernoulli.R | 127 ++-- fastNaiveBayes-1.1.1/fastNaiveBayes/tests/testthat/test-fastnaivebayes_detect_distribution.R |only fastNaiveBayes-1.1.1/fastNaiveBayes/tests/testthat/test-fastnaivebayes_gaussian.R | 127 +--- fastNaiveBayes-1.1.1/fastNaiveBayes/tests/testthat/test-fastnaivebayes_mixed.R | 257 ++-------- fastNaiveBayes-1.1.1/fastNaiveBayes/tests/testthat/test-fastnaivebayes_multinomial.R | 136 ++--- fastNaiveBayes-1.1.1/fastNaiveBayes/vignettes/fastnaivebayes.Rmd | 37 - 37 files changed, 1227 insertions(+), 1305 deletions(-)
More information about fastNaiveBayes at CRAN
Permanent link
Title: Zigzag Expanded Navigation Plots
Description: Graphical tools for visualizing high-dimensional data with a path
of pairs. Note that this requires 'graph' from Bioconductor.
If you want to use dynamic graphics based on 'loon', you also need to have
'loon' installed, see <https://github.com/waddella/loon>.
Author: Marius Hofert [aut, cre],
Wayne Oldford [aut]
Maintainer: Marius Hofert <marius.hofert@uwaterloo.ca>
Diff between zenplots versions 0.0-3 dated 2018-02-27 and 0.0-4 dated 2019-03-31
zenplots-0.0-3/zenplots/R/auxiliaries.R |only zenplots-0.0-3/zenplots/R/tools_graphics.R |only zenplots-0.0-3/zenplots/R/tools_grid.R |only zenplots-0.0-3/zenplots/R/tools_loon.R |only zenplots-0.0-3/zenplots/inst/doc/intro.R |only zenplots-0.0-3/zenplots/inst/doc/intro.Rmd |only zenplots-0.0-3/zenplots/inst/doc/intro.html |only zenplots-0.0-3/zenplots/vignettes/intro.Rmd |only zenplots-0.0-3/zenplots/vignettes/intro_de_elect_pairs68_1500.png |only zenplots-0.0-4/zenplots/DESCRIPTION | 21 zenplots-0.0-4/zenplots/MD5 | 60 - zenplots-0.0-4/zenplots/NAMESPACE | 9 zenplots-0.0-4/zenplots/R/getpath.R | 88 - zenplots-0.0-4/zenplots/R/plot1dgraphics.R | 10 zenplots-0.0-4/zenplots/R/plot1dgrid.R | 12 zenplots-0.0-4/zenplots/R/plot1dloon.R | 17 zenplots-0.0-4/zenplots/R/plot2dgraphics.R | 90 + zenplots-0.0-4/zenplots/R/plot2dgrid.R | 121 +- zenplots-0.0-4/zenplots/R/plot2dloon.R | 47 zenplots-0.0-4/zenplots/R/tools.R | 320 +++++ zenplots-0.0-4/zenplots/R/zenpath.R | 45 zenplots-0.0-4/zenplots/TODO | 20 zenplots-0.0-4/zenplots/build/vignette.rds |binary zenplots-0.0-4/zenplots/data/happiness.rda |only zenplots-0.0-4/zenplots/inst/doc/selected_features.R | 79 - zenplots-0.0-4/zenplots/inst/doc/selected_features.Rmd | 73 - zenplots-0.0-4/zenplots/inst/doc/selected_features.html | 568 ++++++---- zenplots-0.0-4/zenplots/man/burst.Rd | 6 zenplots-0.0-4/zenplots/man/happiness.Rd |only zenplots-0.0-4/zenplots/man/occupancy.Rd |only zenplots-0.0-4/zenplots/man/plots_graphics.Rd | 20 zenplots-0.0-4/zenplots/man/plots_grid.Rd | 17 zenplots-0.0-4/zenplots/man/plots_loon.Rd | 6 zenplots-0.0-4/zenplots/man/zenpath.Rd | 63 - zenplots-0.0-4/zenplots/man/zenplot.Rd | 15 zenplots-0.0-4/zenplots/src/init.c | 2 zenplots-0.0-4/zenplots/vignettes/selected_features.Rmd | 73 - 37 files changed, 1253 insertions(+), 529 deletions(-)
Title: Commodore Amiga File Format Handler
Description: Modern software often poorly support older file formats. This
package intends to handle many file formats that were native to the
antiquated Commodore Amiga machine. This package focuses on file types from
the older Amiga operating systems (<= 3.0). It will read and write specific
file formats and coerces them into more contemporary data.
Author: Pepijn de Vries [aut, cre, dtc]
Maintainer: Pepijn de Vries <pepijn.devries@outlook.com>
Diff between AmigaFFH versions 0.2.0 dated 2019-01-27 and 0.3.1 dated 2019-03-31
DESCRIPTION | 10 - MD5 | 104 ++++++++------ NAMESPACE | 24 +++ NEWS | 27 +++ R/AmigaFFH.r | 30 ++-- R/bitmapfont.r |only R/data.r | 22 +++ R/generic_support.r | 216 +++++++++++++++++++++++++++---- R/hardwareSprites.r | 2 R/iff.0.r | 94 ++++--------- R/iff.ilbm.r | 96 ++++++++++++- R/system_configuration.r | 56 +++++--- R/workbench_icon.r | 285 +++++++++++++++++++++++++---------------- data/font_example.rda |only man/AmigaBitmapFont.Rd |only man/AmigaFFH.Rd | 30 ++-- man/AmigaIcon.Rd | 6 man/IFFChunk-class.Rd | 3 man/IFFChunk.Rd | 4 man/SysConfig.Rd | 4 man/WaveToIFF.Rd | 3 man/amiga_monitors.Rd | 2 man/as.raster.Rd | 42 ++++-- man/as.raw.Rd | 28 ++-- man/availableFontSizes.Rd |only man/bitmapToRaster.Rd | 6 man/c.Rd |only man/colourToAmigaRaw.Rd | 5 man/deltaFibonacciCompress.Rd | 2 man/dither.Rd | 15 +- man/fontName.Rd |only man/font_example.Rd |only man/getAmigaBitmapFont.Rd |only man/getIFFChunk.Rd | 2 man/hardwareSprite-class.Rd | 2 man/index.colours.Rd | 20 ++ man/interpretIFFChunk.Rd | 6 man/packBitmap.Rd | 2 man/plot.Rd | 47 +++++- man/rasterToAmigaBitmapFont.Rd |only man/rasterToBitmap.Rd | 38 ++++- man/rasterToHWSprite.Rd | 7 - man/rasterToIFF.Rd | 20 ++ man/rawToAmigaBitmapFont.Rd |only man/rawToAmigaBitmapFontSet.Rd |only man/rawToAmigaIcon.Rd | 4 man/rawToHWSprite.Rd | 2 man/rawToIFFChunk.Rd | 4 man/rawToSysConfig.Rd | 2 man/read.AmigaBitmapFont.Rd |only man/read.AmigaBitmapFontSet.Rd |only man/read.AmigaIcon.Rd | 16 +- man/read.SysConfig.Rd | 17 +- man/read.iff.Rd | 16 +- man/simpleAmigaIcon.Rd | 2 man/simpleSysConfig.Rd | 14 +- man/write.AmigaBitmapFont.Rd |only man/write.AmigaIcon.Rd | 17 +- man/write.SysConfig.Rd | 15 +- man/write.iff.Rd | 16 +- 60 files changed, 994 insertions(+), 391 deletions(-)
Title: Download Data from the International Monetary Fund's Data API
Description: Explore and download data from the International Monetary Fund's
data API <http://data.imf.org/>.
Author: Christopher Gandrud [aut, cre]
Maintainer: Christopher Gandrud <christopher.gandrud@gmail.com>
Diff between imfr versions 0.1.5 dated 2017-11-17 and 0.1.6 dated 2019-03-31
DESCRIPTION | 10 +++++----- MD5 | 8 ++++---- NEWS | 4 ++++ R/data_functions.R | 12 ++++-------- man/imf_ids.Rd | 6 ++---- 5 files changed, 19 insertions(+), 21 deletions(-)
Title: Download and Explore Datasets from UCSC Xena Data Hubs
Description: Download and explore datasets from UCSC Xena data hubs, which are
a collection of UCSC-hosted public databases such as TCGA, ICGC, TARGET, GTEx, CCLE, and others.
Databases are normalized so they can be combined, linked, filtered, explored and downloaded.
Author: Shixiang Wang [aut, cre] (<https://orcid.org/0000-0001-9855-7357>),
Martin Morgan [aut]
Maintainer: Shixiang Wang <w_shixiang@163.com>
Diff between UCSCXenaTools versions 1.1.0 dated 2019-03-29 and 1.2.0 dated 2019-03-31
UCSCXenaTools-1.1.0/UCSCXenaTools/R/api.R |only UCSCXenaTools-1.1.0/UCSCXenaTools/R/download.R |only UCSCXenaTools-1.1.0/UCSCXenaTools/R/query.R |only UCSCXenaTools-1.2.0/UCSCXenaTools/DESCRIPTION | 13 UCSCXenaTools-1.2.0/UCSCXenaTools/MD5 | 63 - UCSCXenaTools-1.2.0/UCSCXenaTools/NEWS.md | 12 UCSCXenaTools-1.2.0/UCSCXenaTools/R/XenaHub-class.R | 324 ++---- UCSCXenaTools-1.2.0/UCSCXenaTools/R/api_higher.R |only UCSCXenaTools-1.2.0/UCSCXenaTools/R/api_inner.R |only UCSCXenaTools-1.2.0/UCSCXenaTools/R/api_xq.R |only UCSCXenaTools-1.2.0/UCSCXenaTools/R/data.R | 2 UCSCXenaTools-1.2.0/UCSCXenaTools/R/workflow.R |only UCSCXenaTools-1.2.0/UCSCXenaTools/README.md | 64 - UCSCXenaTools-1.2.0/UCSCXenaTools/data/XenaData.rda |binary UCSCXenaTools-1.2.0/UCSCXenaTools/inst/api.RData |only UCSCXenaTools-1.2.0/UCSCXenaTools/inst/dataset_metadata.RData |only UCSCXenaTools-1.2.0/UCSCXenaTools/inst/doc/USCSXenaTools.Rmd | 2 UCSCXenaTools-1.2.0/UCSCXenaTools/inst/doc/USCSXenaTools.html | 103 - UCSCXenaTools-1.2.0/UCSCXenaTools/inst/doc/xena-apis.R | 40 UCSCXenaTools-1.2.0/UCSCXenaTools/inst/doc/xena-apis.Rmd | 120 ++ UCSCXenaTools-1.2.0/UCSCXenaTools/inst/doc/xena-apis.html | 530 +++++++++- UCSCXenaTools-1.2.0/UCSCXenaTools/inst/test_api.R | 223 ++++ UCSCXenaTools-1.2.0/UCSCXenaTools/man/XenaBrowse.Rd | 2 UCSCXenaTools-1.2.0/UCSCXenaTools/man/XenaData.Rd | 2 UCSCXenaTools-1.2.0/UCSCXenaTools/man/XenaDownload.Rd | 2 UCSCXenaTools-1.2.0/UCSCXenaTools/man/XenaFilter.Rd | 2 UCSCXenaTools-1.2.0/UCSCXenaTools/man/XenaGenerate.Rd | 2 UCSCXenaTools-1.2.0/UCSCXenaTools/man/XenaPrepare.Rd | 2 UCSCXenaTools-1.2.0/UCSCXenaTools/man/XenaQuery.Rd | 2 UCSCXenaTools-1.2.0/UCSCXenaTools/man/cohorts.Rd | 2 UCSCXenaTools-1.2.0/UCSCXenaTools/man/datasets.Rd | 2 UCSCXenaTools-1.2.0/UCSCXenaTools/man/hosts.Rd | 2 UCSCXenaTools-1.2.0/UCSCXenaTools/man/samples.Rd | 6 UCSCXenaTools-1.2.0/UCSCXenaTools/man/to_snake.Rd | 2 UCSCXenaTools-1.2.0/UCSCXenaTools/tests/testthat/test-basic-workflow.R | 6 UCSCXenaTools-1.2.0/UCSCXenaTools/vignettes/USCSXenaTools.Rmd | 2 UCSCXenaTools-1.2.0/UCSCXenaTools/vignettes/xena-apis.Rmd | 120 ++ 37 files changed, 1290 insertions(+), 362 deletions(-)
Title: Efficient and Publishing-Oriented Workflow for Psychological
Science
Description: The main goal of the psycho package is to provide tools for psychologists, neuropsychologists and neuroscientists,
to facilitate and speed up the time spent on data analysis. It aims at supporting best practices and tools to format the output
of statistical methods to directly paste them into a manuscript, ensuring statistical reporting standardization and conformity.
Author: Dominique Makowski [aut, cre, cph]
(<https://orcid.org/0000-0001-5375-9967>),
Hugo Najberg [ctb],
Viliam Simko [ctb],
Sasha Epskamp [rev] (Sasha reviewed the package for JOSS, see
https://github.com/openjournals/joss-reviews/issues/470)
Maintainer: Dominique Makowski <dom.makowski@gmail.com>
Diff between psycho versions 0.4.0 dated 2019-01-14 and 0.4.9 dated 2019-03-31
psycho-0.4.0/psycho/R/affective.R |only psycho-0.4.0/psycho/R/analyze.R |only psycho-0.4.0/psycho/R/analyze.anova.R |only psycho-0.4.0/psycho/R/analyze.blavaan.R |only psycho-0.4.0/psycho/R/analyze.fa.R |only psycho-0.4.0/psycho/R/analyze.glm.R |only psycho-0.4.0/psycho/R/analyze.glmerMod.R |only psycho-0.4.0/psycho/R/analyze.htest.R |only psycho-0.4.0/psycho/R/analyze.lavaan.R |only psycho-0.4.0/psycho/R/analyze.lm.R |only psycho-0.4.0/psycho/R/analyze.lmerModLmerTest.R |only psycho-0.4.0/psycho/R/analyze.principal.R |only psycho-0.4.0/psycho/R/analyze.stanreg.R |only psycho-0.4.0/psycho/R/as.data.frame.density.R |only psycho-0.4.0/psycho/R/assess.R |only psycho-0.4.0/psycho/R/bayes_cor.R |only psycho-0.4.0/psycho/R/cite_packages.R |only psycho-0.4.0/psycho/R/correlation.R |only psycho-0.4.0/psycho/R/crawford.test.R |only psycho-0.4.0/psycho/R/crawford_dissociation.test.R |only psycho-0.4.0/psycho/R/create_intervals.R |only psycho-0.4.0/psycho/R/dprime.R |only 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Title: Interactive Visualization of Bayesian Networks
Description: Bayesian networks provide an intuitive framework for probabilistic reasoning
and its graphical nature can be interpreted quite clearly. Graph based methods
of machine learning are becoming more popular because they offer a richer model
of knowledge that can be understood by a human in a graphical format. The 'bnviewer'
is an R Package that allows the interactive visualization of Bayesian Networks.
The aim of this package is to improve the Bayesian Networks visualization over
the basic and static views offered by existing packages.
Author: Robson Fernandes
Maintainer: Robson Fernandes <robs.fernandes@outlook.com>
Diff between bnviewer versions 0.1.1 dated 2018-12-10 and 0.1.2 dated 2019-03-31
DESCRIPTION | 16 ++++++++++------ MD5 | 13 ++++++++----- NAMESPACE | 1 + R/bnviewer.R | 10 +--------- R/model.to.structure.R |only R/strength.viewer.R | 4 ++-- man/bnviewer-package.Rd |only man/model.to.structure.Rd |only man/strength.viewer.Rd | 2 +- 9 files changed, 23 insertions(+), 23 deletions(-)
Title: LogNormal Response Time Item Response Theory Models
Description: Allows the simultaneous analysis of responses and response times in an Item Response Theory (IRT) modelling framework. Supports variable person speed functions (intercept, trend, quadratic), and covariates for item and person (random) parameters. Data missing-by-design can be specified. Parameter estimation is done with a MCMC algorithm. LNIRT replaces the package CIRT, which was written by Rinke Klein Entink. For reference, see the paper by Fox, Klein Entink and Van der Linden (2007), "Modeling of Responses and Response Times with the Package cirt", Journal of Statistical Software, <doi:10.18637/jss.v020.i07>.
Author: Jean-Paul Fox, Konrad Klotzke, Rinke Klein Entink
Maintainer: Konrad Klotzke <omd.bms.utwente.stats@gmail.com>
Diff between LNIRT versions 0.3.5 dated 2018-11-14 and 0.4.0 dated 2019-03-31
DESCRIPTION | 14 +- MD5 | 30 ++++-- NAMESPACE | 9 + R/LNIRT.R | 252 +++++++++++++++++++++++++++++++++++++++++++--------- R/LNIRT_Q.R |only R/LNRT.R | 2 R/LNRT_Q.R |only R/MCMC.R | 233 +++++++++++++++++++++++++++++++++++++++++++++++- R/MCMC_Q.R |only R/SUMMARY_LNIRT_Q.R |only R/fit.R | 171 +++++++++++++++++++++++++++++++---- R/fit_Q.R |only R/print.R | 7 + R/simLNIRT.R | 2 R/simLNIRT_Q.R |only R/summary.R | 15 ++- man/LNIRT.Rd | 14 ++ man/LNIRTQ.Rd |only man/LNRTQ.Rd |only man/simLNIRTQ.Rd |only man/summaryIRTQ.Rd |only 21 files changed, 659 insertions(+), 90 deletions(-)
Title: Support Functions and Datasets for Venables and Ripley's MASS
Description: Functions and datasets to support Venables and Ripley,
"Modern Applied Statistics with S" (4th edition, 2002).
Author: Brian Ripley [aut, cre, cph],
Bill Venables [ctb],
Douglas M. Bates [ctb],
Kurt Hornik [trl] (partial port ca 1998),
Albrecht Gebhardt [trl] (partial port ca 1998),
David Firth [ctb]
Maintainer: Brian Ripley <ripley@stats.ox.ac.uk>
Diff between MASS versions 7.3-51.2 dated 2019-03-01 and 7.3-51.4 dated 2019-03-31
DESCRIPTION | 10 +++++----- MD5 | 4 ++-- tests/Examples/MASS-Ex.Rout.save | 7 ++----- 3 files changed, 9 insertions(+), 12 deletions(-)
Title: Modified Versions of Mann Kendall and Spearman's Rho Trend Tests
Description: Power of non-parametric Mann-Kendall test and Spearman’s Rho test is highly influenced by serially correlated data. To address this issue, trend tests may be applied on the modified versions of the time series data by Block Bootstrapping (BBS), Prewhitening (PW) , Trend Free Prewhitening (TFPW), Bias Corrected Prewhitening and Variance Correction Approach by calculating effective sample size.
Mann, H. B. (1945).<doi:10.1017/CBO9781107415324.004>.
Kendall, M. (1975). Multivariate analysis. Charles Griffin&Company Ltd,.
sen, P. K. (1968).<doi:10.2307/2285891>.
Önöz, B., & Bayazit, M. (2012) <doi:10.1002/hyp.8438>.
Hamed, K. H. (2009).<doi:10.1016/j.jhydrol.2009.01.040>.
Yue, S., & Wang, C. Y. (2002) <doi:10.1029/2001WR000861>.
Yue, S., Pilon, P., Phinney, B., & Cavadias, G. (2002) <doi:10.1002/hyp.1095>.
Hamed, K. H., & Ramachandra Rao, A. (1998) <doi:10.1016/S0022-1694(97)00125-X>.
Yue, S., & Wang, C. Y. (2004) <doi:10.1023/B:WARM.0000043140.61082.60>.
Author: Sandeep Kumar Patakamuri [aut, cre],
Nicole O'Brien [aut, ctb]
Maintainer: Sandeep Kumar Patakamuri <sandeep.patakamuri@gmail.com>
Diff between modifiedmk versions 1.3.0 dated 2019-01-25 and 1.3.1 dated 2019-03-31
DESCRIPTION | 8 +- MD5 | 52 ++++++++-------- R/bbsmk.R | 42 ++++++------- R/bbssr.R | 28 ++++---- R/bcpw.R | 47 ++++++++------ R/mkttest.R | 48 ++++++++------- R/mmkh.R | 71 +++++++++++----------- R/mmkh3.R | 147 +++++++++++++++++++++++----------------------- R/mmky.R | 67 +++++++++++--------- R/mmky1.R | 109 +++++++++++++++++----------------- R/pbmk.R | 91 +++++++++++++--------------- R/pwmk.R | 64 ++++++++++---------- R/spmr.R | 52 ++++++++++++---- R/tfpwmk.R | 66 ++++++++++---------- inst/doc/my-vignette.html | 2 man/bbsmk.Rd | 26 ++++---- man/bbssr.Rd | 18 ++--- man/bcpw.Rd | 16 ++--- man/mkttest.Rd | 22 +++--- man/mmkh.Rd | 28 ++++---- man/mmkh3lag.Rd | 26 ++++---- man/mmky.Rd | 23 ++++--- man/mmky1lag.Rd | 23 ++++--- man/pbmk.Rd | 44 +++++-------- man/pwmk.Rd | 30 ++++----- man/spear.Rd | 11 ++- man/tfpwmk.Rd | 30 ++++----- 27 files changed, 625 insertions(+), 566 deletions(-)
Title: Support Functions and Datasets for Venables and Ripley's MASS
Description: Functions and datasets to support Venables and Ripley,
"Modern Applied Statistics with S" (4th edition, 2002).
Author: Brian Ripley [aut, cre, cph],
Bill Venables [ctb],
Douglas M. Bates [ctb],
Kurt Hornik [trl] (partial port ca 1998),
Albrecht Gebhardt [trl] (partial port ca 1998),
David Firth [ctb]
Maintainer: Brian Ripley <ripley@stats.ox.ac.uk>
Diff between MASS versions 7.3-51.2 dated 2019-03-01 and 7.3-51.3 dated 2019-03-31
MASS |only 1 file changed
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2019-03-25 3.1.2
2019-03-21 3.1.1
2019-03-16 3.1