Title: Using Apache 'Kafka' Messaging Queue Through 'R'
Description: Apache 'Kafka' is an open-source message broker project developed by the Apache Software Foundation which can be thought of as a distributed, partitioned, replicated commit log service.At a high level, producers send messages over the network to the 'Kafka' cluster which in turn serves them up to consumers.See <http://kafka.apache.org/> for more information.Functions included in this package enable:1.Creating 'Kafka' producer 2.Writing messages to a topic 3.Closing 'Kafka' producer 4.Creating 'Kafka' consumer 5.Reading messages from a topic 6.Closing 'Kafka' consumer. The jars required for this package are included in a separate package 'rkafkajars'.
Author: Shruti Gupta[aut,cre]
Maintainer: Shruti Gupta <shrutigupta34@gmail.com>
Diff between rkafka versions 1.0 dated 2015-04-13 and 1.1 dated 2017-06-28
rkafka-1.0/rkafka/vignettes/MuSigma.jpg |only rkafka-1.0/rkafka/vignettes/MuSigmaLogo.jpg |only rkafka-1.0/rkafka/vignettes/MuSigmaLogoText.jpg |only rkafka-1.1/rkafka/DESCRIPTION | 12 ++++++------ rkafka-1.1/rkafka/MD5 | 17 +++++++---------- rkafka-1.1/rkafka/build/vignette.rds |binary rkafka-1.1/rkafka/inst/doc/rkafka-manual.pdf |binary rkafka-1.1/rkafka/inst/doc/rkafka.Rnw | 9 +++------ rkafka-1.1/rkafka/inst/doc/rkafka.pdf |binary rkafka-1.1/rkafka/man/rkafka-package.Rd | 6 +++--- rkafka-1.1/rkafka/vignettes/rkafka.Rnw | 9 +++------ 11 files changed, 22 insertions(+), 31 deletions(-)
Title: Interactive Viewing of Spatial Objects in R
Description: Methods to view spatial objects interactively.
Author: Tim Appelhans [cre, aut],
Florian Detsch [aut],
Christoph Reudenbach [aut],
Stefan Woellauer [aut],
Spaska Forteva [ctb],
Thomas Nauss [ctb],
Edzer Pebesma [ctb],
Kenton Russell [ctb],
Michael Sumner [ctb],
Environmental Informatics Marburg [ctb]
Maintainer: Tim Appelhans <tim.appelhans@gmail.com>
Diff between mapview versions 2.0.1 dated 2017-05-07 and 2.1.0 dated 2017-06-28
DESCRIPTION | 12 MD5 | 54 ++- NAMESPACE | 1 NEWS |only NEWS.md | 27 + R/RcppExports.R | 24 - R/addFeatures.R | 122 ++++++--- R/addVeryLargeFeatures.R | 4 R/burst.R | 36 ++ R/cubeView.R | 6 R/garnishMap.R | 6 R/leafletView.R | 582 +++++++++++++++++++++---------------------- R/mapView.R | 188 ++++++------- R/mapview-package.R | 2 R/mapviewControls.R | 22 + R/mapviewHighlightOptions.R | 25 - R/popup.R | 217 +++++++--------- R/raster2PNG.R | 2 R/sf.R | 32 +- README.md | 1 data/breweries.rda |binary data/poppendorf.rda |binary inst/htmlwidgets/cubeView.js | 27 + man/addFeatures.Rd |only man/cubeView.Rd | 6 man/garnishMap.Rd | 6 man/mapView.Rd | 53 +-- man/mapview-package.Rd | 2 man/popup.Rd | 44 +-- 29 files changed, 817 insertions(+), 684 deletions(-)
Title: Penalized Parametric and Semiparametric Bayesian Survival Models
with Shrinkage and Grouping Priors
Description: Algorithms for fitting penalized parametric and semiparametric Bayesian survival models with shrinkage and grouping priors.
Author: Kyu Ha Lee, Sounak Chakraborty, (Tony) Jianguo Sun
Maintainer: Kyu Ha Lee <klee@hsph.harvard.edu>
Diff between psbcGroup versions 1.3 dated 2016-03-08 and 1.4 dated 2017-06-28
DESCRIPTION | 8 ++++---- MD5 | 9 +++++---- NAMESPACE | 2 +- man/aftGL.Rd | 6 +----- man/psbcGroup.Rd | 8 ++++---- src/registerDynamicSymbol.c |only 6 files changed, 15 insertions(+), 18 deletions(-)
Title: Wicked-Fast Streaming 'JSON' ('ndjson') Reader
Description: Streaming 'JSON' ('ndjson') has one 'JSON' record per-line and
many modern 'ndjson' files contain large numbers of records. These constructs
may not be columnar in nature, but it is often useful to read in these files
and "flatten" the structure out to enable working with the data in an R
'data.frame'-like context. Functions are provided that make it possible to read
in plain 'ndjson' files or compressed ('gz') 'ndjson' files and either validate
the format of the records or create "flat" 'data.table' structures from them.
Author: Bob Rudis (bob@rud.is), Niels Lohmann (C++ json parser),
Deepak Bandyopadhyay (C++ gzstream), Lutz Kettner (C++ gzstream)
Maintainer: Bob Rudis <bob@rud.is>
Diff between ndjson versions 0.2.0 dated 2016-08-27 and 0.5.0 dated 2017-06-28
DESCRIPTION | 32 INSTALL |only MD5 | 32 NAMESPACE | 5 NEWS.md | 18 R/RcppExports.R | 10 R/ndjson-package.R | 6 R/ndjson.R | 30 README.md | 72 man/flatten.Rd |only man/ndjson.Rd | 3 man/stream_in.Rd | 9 man/validate.Rd | 1 src/Makevars | 4 src/RcppExports.cpp | 41 src/json.h |17011 ++++++++++++++++++++++++++----------------- src/ndjson.cpp | 249 tests/testthat/test-ndjson.R | 4 18 files changed, 10920 insertions(+), 6607 deletions(-)
Title: Convenience Functions for Education Data
Description: Collection of convenience functions to make working with
administrative records easier and more consistent. Includes functions to
clean strings, and identify cut points. Also includes three example data
sets of administrative education records for learning how to process records
with errors.
Author: Jason P. Becker [ctb],
Jared E. Knowles [aut, cre]
Maintainer: Jared E. Knowles <jknowles@gmail.com>
Diff between eeptools versions 1.0.0 dated 2016-11-01 and 1.1.0 dated 2017-06-28
eeptools-1.0.0/eeptools/tests/testthat/test-maptools.R |only eeptools-1.1.0/eeptools/DESCRIPTION | 20 +-- eeptools-1.1.0/eeptools/MD5 | 90 ++++++++--------- eeptools-1.1.0/eeptools/NEWS.md | 18 +++ eeptools-1.1.0/eeptools/R/age_calc.R | 2 eeptools-1.1.0/eeptools/R/eeptools-package.r | 2 eeptools-1.1.0/eeptools/R/eeptools.R | 4 eeptools-1.1.0/eeptools/R/leading_zero.R | 7 - eeptools-1.1.0/eeptools/R/mapfunctions.R | 5 eeptools-1.1.0/eeptools/R/remove_char.R | 2 eeptools-1.1.0/eeptools/README.md | 35 ------ eeptools-1.1.0/eeptools/build/vignette.rds |binary eeptools-1.1.0/eeptools/inst/doc/intro.html | 21 +-- eeptools-1.1.0/eeptools/man/age_calc.Rd | 9 - eeptools-1.1.0/eeptools/man/autoplot.lm.Rd | 1 eeptools-1.1.0/eeptools/man/cleanTex.Rd | 1 eeptools-1.1.0/eeptools/man/crosstabplot.Rd | 1 eeptools-1.1.0/eeptools/man/crosstabs.Rd | 1 eeptools-1.1.0/eeptools/man/cutoff.Rd | 1 eeptools-1.1.0/eeptools/man/decomma.Rd | 1 eeptools-1.1.0/eeptools/man/defac.Rd | 7 - eeptools-1.1.0/eeptools/man/eeptools.Rd | 1 eeptools-1.1.0/eeptools/man/gelmansim.Rd | 1 eeptools-1.1.0/eeptools/man/ggmapmerge.Rd | 3 eeptools-1.1.0/eeptools/man/lag_data.Rd | 1 eeptools-1.1.0/eeptools/man/leading_zero.Rd | 1 eeptools-1.1.0/eeptools/man/makenum.Rd | 7 - eeptools-1.1.0/eeptools/man/mapmerge.Rd | 4 eeptools-1.1.0/eeptools/man/max_mis.Rd | 7 - eeptools-1.1.0/eeptools/man/midsch.Rd | 1 eeptools-1.1.0/eeptools/man/moves_calc.Rd | 1 eeptools-1.1.0/eeptools/man/nth_max.Rd | 1 eeptools-1.1.0/eeptools/man/profpoly.Rd | 1 eeptools-1.1.0/eeptools/man/profpoly.data.Rd | 1 eeptools-1.1.0/eeptools/man/remove_char.Rd | 3 eeptools-1.1.0/eeptools/man/retained_calc.Rd | 1 eeptools-1.1.0/eeptools/man/statamode.Rd | 7 - eeptools-1.1.0/eeptools/man/stuatt.Rd | 3 eeptools-1.1.0/eeptools/man/stulevel.Rd | 1 eeptools-1.1.0/eeptools/man/theme_dpi.Rd | 7 - eeptools-1.1.0/eeptools/man/theme_dpi_map.Rd | 7 - eeptools-1.1.0/eeptools/man/theme_dpi_map2.Rd | 7 - eeptools-1.1.0/eeptools/man/theme_dpi_mapPNG.Rd | 7 - eeptools-1.1.0/eeptools/man/thresh.Rd | 7 - eeptools-1.1.0/eeptools/tests/testthat/test-plots.R | 19 --- eeptools-1.1.0/eeptools/tools |only 46 files changed, 137 insertions(+), 190 deletions(-)
Title: Convolution of Gamma Distributions
Description: Convolution of gamma distributions in R. The convolution of
gamma distributions is the sum of series of gamma
distributions and all gamma distributions here can have different
parameters. This package can calculate density, distribution function
and do simulation work.
Author: Chaoran Hu [aut, cre],
Vladimir Pozdnyakov [ths],
Jun Yan [ths]
Maintainer: Chaoran Hu <chaoran.hu@uconn.edu>
Diff between coga versions 0.1.0 dated 2017-05-25 and 0.2.0 dated 2017-06-28
DESCRIPTION | 17 +- MD5 | 40 ++++-- NAMESPACE | 4 NEWS.md | 19 +++ R/RcppExports.R | 93 +++++++++++++++ R/coga.R | 3 R/dprcoga.R | 7 + build/vignette.rds |binary cleanup |only configure |only configure.ac |only inst/CITATION | 12 +- inst/doc/coga-intro.R | 9 + inst/doc/coga-intro.Rmd | 22 +++ inst/doc/coga-intro.html | 53 ++++++--- inst/include |only man/coga.Rd | 2 man/dcoga2dim.Rd |only man/pcoga2dim_diff_shape.Rd |only src/Makevars.in |only src/Makevars.win |only src/RcppExports.cpp | 258 ++++++++++++++++++++++++++++++++++++++++++-- src/coga2dim.cpp |only src/dpcoga.cpp | 6 + vignettes/coga-intro.Rmd | 22 +++ 25 files changed, 507 insertions(+), 60 deletions(-)
Title: Hierarchical Models for Parametric and Semi-Parametric Analyses
of Semi-Competing Risks Data
Description: Parametric and semi-parametric analyses of semi-competing risks/univariate survival data. For semi-competing risks data, the package contains implementations of hierarchical models for independent data (Lee et al., 2015; <doi:10.1111/rssc.12078>, Lee et al. 2017) and cluster-correlated data (Lee et al., 2016; <doi:10.1111/biom.12696> <doi:10.1080/01621459.2016.1164052>).
Author: Kyu Ha Lee, Catherine Lee, and Sebastien Haneuse
Maintainer: Kyu Ha Lee <klee@hsph.harvard.edu>
Diff between SemiCompRisks versions 2.6 dated 2016-12-11 and 2.7 dated 2017-06-28
DESCRIPTION | 10 +++++----- MD5 | 17 +++++++++-------- NAMESPACE | 2 +- build/vignette.rds |binary inst/doc/SemiCompRisks.pdf |binary man/BayesID_AFT.Rd | 4 ++-- man/BayesSurv_AFT.Rd | 4 ++-- man/SemiCompRisks-package.Rd | 8 ++++---- man/initiate.startValues_AFT.Rd | 4 ++-- src/registerDynamicSymbol.c |only 10 files changed, 25 insertions(+), 24 deletions(-)
Title: Log-Binomial Regression with Constrained Optimization
Description: Maximum likelihood estimation of log-binomial regression with special functionality when the MLE is on (or close to) the boundary of the parameter space.
Author: Bernardo B. Andrade and Mateus Carbone Ananias
Maintainer: Bernardo Andrade <bbandrade@unb.br>
Diff between lbreg versions 1.0 dated 2016-12-20 and 1.1 dated 2017-06-28
DESCRIPTION | 10 +++++----- MD5 | 6 +++--- R/lbregEst.R | 3 ++- build/partial.rdb |binary 4 files changed, 10 insertions(+), 9 deletions(-)
Title: Verbose Assertions for Tabular Data (Data.frames and
Data.tables)
Description: Simple, flexible, assertions on data.frame or data.table objects with verbose output for vetting. While other assertion packages apply towards more general use-cases, assertable is tailored towards tabular data. It includes functions to check variable names and values, whether the dataset contains all combinations of a given set of unique identifiers, and whether it is a certain length. In addition, assertable includes utility functions to check the existence of target files and to efficiently import multiple tabular data files into one data.table.
Author: Grant Nguyen [aut, cre]
Maintainer: Grant Nguyen <gngu@uw.edu>
Diff between assertable versions 0.2.3 dated 2017-05-17 and 0.2.4 dated 2017-06-28
DESCRIPTION | 6 +++--- MD5 | 4 ++-- R/import_files.R | 6 +----- 3 files changed, 6 insertions(+), 10 deletions(-)
Title: Flexible Optimization
Description: Flexible optimizer with numerous input specifications. It allows a very detailed parameterization and is therefore useful for specific and complex loss functions, like functions with discrete parameter space. Also visualization tools for validation and analysis of the convergence are included.
Author: Kai Husmann and Alexander Lange
Maintainer: Kai Husmann <khusman1@uni-goettingen.de>
Diff between optimization versions 1.0-4 dated 2017-05-21 and 1.0-5 dated 2017-06-28
DESCRIPTION | 8 ++++---- MD5 | 12 ++++++------ NEWS.md | 5 ++++- R/RcppExports.R | 2 +- R/optim_nm.R | 19 +++++++++++++++---- build/partial.rdb |binary man/optimization-package.Rd | 2 +- 7 files changed, 31 insertions(+), 17 deletions(-)
Title: Machine Learning Tools
Description: A collection of machine learning helper functions, particularly assisting in the Exploratory Data Analysis phase.
Makes heavy use of the 'data.table' package for optimal speed and memory efficiency. Highlights include a versatile bin_data()
function, sparsify() for converting a data.table to sparse matrix format with one-hot encoding, fast evaluation metrics, and
empirical_cdf() for calculating empirical Multivariate Cumulative Distribution Functions.
Author: Ben Gorman
Maintainer: Ben Gorman <bgorman@GormAnalysis.com>
Diff between mltools versions 0.2.0 dated 2017-01-03 and 0.3.0 dated 2017-06-28
DESCRIPTION | 8 +-- MD5 | 52 +++++++++++----------- NEWS.md | 11 ++-- R/date_factor.R | 18 +++++-- R/empirical_cdf.R | 107 ++++++++++++++++++++++++++-------------------- README.md | 3 + man/alien.test.Rd | 1 man/alien.train.Rd | 1 man/auc_roc.Rd | 1 man/bin_data.Rd | 1 man/date_factor.Rd | 3 - man/empirical_cdf.Rd | 17 ++----- man/explore_dataset.Rd | 1 man/exponential_weight.Rd | 1 man/folds.Rd | 1 man/geometric_weight.Rd | 1 man/gini_impurities.Rd | 1 man/gini_impurity.Rd | 1 man/mcc.Rd | 1 man/one_hot.Rd | 1 man/relative_position.Rd | 1 man/replace_na.Rd | 1 man/rmse.Rd | 1 man/roc_scores.Rd | 1 man/set_factor.Rd | 1 man/skewness.Rd | 1 man/sparsify.Rd | 1 27 files changed, 120 insertions(+), 118 deletions(-)
Title: Generate, Visualise, and Evaluate Fast-and-Frugal Decision Trees
Description: Create, visualize, and test fast-and-frugal decision trees (FFTs). FFTs are very simple decision trees for
classifying cases (i.e.; breast cancer patients) into one of two classes (e.g.;
no cancer vs. true cancer) based on a small number of cues (e.g.; test results). FFTs can be preferable to more complex algorithms because they are easy to communicate, require very little information, and are
robust against overfitting.
Author: Nathaniel Phillips [aut, cre],
Hansjoerg Neth [aut],
Jan Woike [aut],
Wolfgang Gaissmaer [aut]
Maintainer: Nathaniel Phillips <Nathaniel.D.Phillips.is@gmail.com>
Diff between FFTrees versions 1.2.3 dated 2017-05-04 and 1.3.2 dated 2017-06-28
FFTrees-1.2.3/FFTrees/R/bank_doc.R |only FFTrees-1.2.3/FFTrees/R/income_doc.R |only FFTrees-1.2.3/FFTrees/data/bank.RData |only FFTrees-1.2.3/FFTrees/data/income.RData |only FFTrees-1.2.3/FFTrees/man/bank.Rd |only FFTrees-1.2.3/FFTrees/man/income.Rd |only FFTrees-1.3.2/FFTrees/DESCRIPTION | 30 FFTrees-1.3.2/FFTrees/MD5 | 142 ++- FFTrees-1.3.2/FFTrees/NAMESPACE | 8 FFTrees-1.3.2/FFTrees/R/FFForest.R | 87 -- FFTrees-1.3.2/FFTrees/R/FFTrees.R | 694 +++++++++++------ FFTrees-1.3.2/FFTrees/R/applytree_function.R | 263 ++++-- FFTrees-1.3.2/FFTrees/R/classtable_function.R | 41 - FFTrees-1.3.2/FFTrees/R/cuerank_function.R | 235 ++++- FFTrees-1.3.2/FFTrees/R/fan_algorithm.R |only FFTrees-1.3.2/FFTrees/R/growFFTrees_function.R | 494 +----------- FFTrees-1.3.2/FFTrees/R/heartcost_doc.R |only FFTrees-1.3.2/FFTrees/R/heartfff_doc.R |only FFTrees-1.3.2/FFTrees/R/hearttest_doc.R |only FFTrees-1.3.2/FFTrees/R/hearttrain_doc.R |only FFTrees-1.3.2/FFTrees/R/heuristic_algorithm.R |only FFTrees-1.3.2/FFTrees/R/inwords.R |only FFTrees-1.3.2/FFTrees/R/plotFFForest.R | 2 FFTrees-1.3.2/FFTrees/R/plotFFTrees_function.R | 682 ++++++++++++---- FFTrees-1.3.2/FFTrees/R/printFFForest_function.R | 32 FFTrees-1.3.2/FFTrees/R/printFFTrees_function.R | 56 - FFTrees-1.3.2/FFTrees/R/showcues_function.R | 32 FFTrees-1.3.2/FFTrees/R/wordstoFFT.R |only FFTrees-1.3.2/FFTrees/R/zzz.R | 14 FFTrees-1.3.2/FFTrees/README.md | 30 FFTrees-1.3.2/FFTrees/build/vignette.rds |binary FFTrees-1.3.2/FFTrees/data/creditapproval.RData |binary FFTrees-1.3.2/FFTrees/data/heartcost.RData |only FFTrees-1.3.2/FFTrees/data/heartfff.RData |only FFTrees-1.3.2/FFTrees/data/hearttest.RData |only FFTrees-1.3.2/FFTrees/data/hearttrain.RData |only FFTrees-1.3.2/FFTrees/data/mushrooms.RData |binary FFTrees-1.3.2/FFTrees/data/sonar.RData |binary FFTrees-1.3.2/FFTrees/data/wine.RData |binary FFTrees-1.3.2/FFTrees/inst/CoronaryArtery.jpg |only FFTrees-1.3.2/FFTrees/inst/HeartFFT.jpg |only FFTrees-1.3.2/FFTrees/inst/confusiontable.jpg |only FFTrees-1.3.2/FFTrees/inst/doc/AccuracyStatistics.R |only FFTrees-1.3.2/FFTrees/inst/doc/AccuracyStatistics.Rmd |only FFTrees-1.3.2/FFTrees/inst/doc/AccuracyStatistics.html |only FFTrees-1.3.2/FFTrees/inst/doc/FFTrees_algorithm.R | 38 FFTrees-1.3.2/FFTrees/inst/doc/FFTrees_algorithm.Rmd | 110 ++ FFTrees-1.3.2/FFTrees/inst/doc/FFTrees_algorithm.html | 239 ++++- FFTrees-1.3.2/FFTrees/inst/doc/FFTrees_examples.R | 79 + FFTrees-1.3.2/FFTrees/inst/doc/FFTrees_examples.Rmd | 118 +- FFTrees-1.3.2/FFTrees/inst/doc/FFTrees_examples.html | 146 ++- FFTrees-1.3.2/FFTrees/inst/doc/FFTrees_function.R | 65 + FFTrees-1.3.2/FFTrees/inst/doc/FFTrees_function.Rmd | 199 ++++ FFTrees-1.3.2/FFTrees/inst/doc/FFTrees_function.html | 418 ++++++---- FFTrees-1.3.2/FFTrees/inst/doc/FFTrees_heart.R |only FFTrees-1.3.2/FFTrees/inst/doc/FFTrees_heart.Rmd |only FFTrees-1.3.2/FFTrees/inst/doc/FFTrees_heart.html |only FFTrees-1.3.2/FFTrees/inst/doc/FFTrees_mytree.R |only FFTrees-1.3.2/FFTrees/inst/doc/FFTrees_mytree.Rmd |only FFTrees-1.3.2/FFTrees/inst/doc/FFTrees_mytree.html |only FFTrees-1.3.2/FFTrees/inst/doc/FFTrees_plot.R | 35 FFTrees-1.3.2/FFTrees/inst/doc/FFTrees_plot.Rmd | 62 - FFTrees-1.3.2/FFTrees/inst/doc/FFTrees_plot.html | 57 - FFTrees-1.3.2/FFTrees/inst/doc/guide.R | 34 FFTrees-1.3.2/FFTrees/inst/doc/guide.Rmd | 110 +- FFTrees-1.3.2/FFTrees/inst/doc/guide.html | 168 +++- FFTrees-1.3.2/FFTrees/inst/mushrooms.jpg |only FFTrees-1.3.2/FFTrees/inst/titanic.jpg |only FFTrees-1.3.2/FFTrees/inst/virginica.jpg |only FFTrees-1.3.2/FFTrees/man/FFForest.Rd | 17 FFTrees-1.3.2/FFTrees/man/FFTrees.Rd | 70 + FFTrees-1.3.2/FFTrees/man/apply.tree.Rd | 22 FFTrees-1.3.2/FFTrees/man/classtable.Rd | 7 FFTrees-1.3.2/FFTrees/man/cuerank.Rd | 26 FFTrees-1.3.2/FFTrees/man/fan.algorithm.Rd |only FFTrees-1.3.2/FFTrees/man/grow.FFTrees.Rd | 26 FFTrees-1.3.2/FFTrees/man/heart.cost.Rd |only FFTrees-1.3.2/FFTrees/man/heart.fff.Rd |only FFTrees-1.3.2/FFTrees/man/heart.test.Rd |only FFTrees-1.3.2/FFTrees/man/heart.train.Rd |only FFTrees-1.3.2/FFTrees/man/heuristic.algorithm.Rd |only FFTrees-1.3.2/FFTrees/man/inwords.Rd |only FFTrees-1.3.2/FFTrees/man/plot.FFTrees.Rd | 27 FFTrees-1.3.2/FFTrees/man/print.FFTrees.Rd | 4 FFTrees-1.3.2/FFTrees/man/wordstoFFT.Rd |only FFTrees-1.3.2/FFTrees/vignettes/AccuracyStatistics.Rmd |only FFTrees-1.3.2/FFTrees/vignettes/FFTrees_algorithm.Rmd | 110 ++ FFTrees-1.3.2/FFTrees/vignettes/FFTrees_examples.Rmd | 118 +- FFTrees-1.3.2/FFTrees/vignettes/FFTrees_function.Rmd | 199 ++++ FFTrees-1.3.2/FFTrees/vignettes/FFTrees_heart.Rmd |only FFTrees-1.3.2/FFTrees/vignettes/FFTrees_mytree.Rmd |only FFTrees-1.3.2/FFTrees/vignettes/FFTrees_plot.Rmd | 62 - FFTrees-1.3.2/FFTrees/vignettes/fft.bib | 14 FFTrees-1.3.2/FFTrees/vignettes/guide.Rmd | 110 +- 94 files changed, 3602 insertions(+), 1930 deletions(-)
Title: A Collection of Tools for Working with Time Series in R
Description:
Get the time series index, signature, and summary from time series objects and
time-based tibbles. Create future time series based on properties of
existing time series index.
Coerce between time-based tibbles ('tbl') and 'xts', 'zoo', and 'ts'.
Author: Matt Dancho [aut, cre],
Davis Vaughan [aut]
Maintainer: Matt Dancho <mdancho@business-science.io>
Diff between timekit versions 0.3.0 dated 2017-05-16 and 0.3.1 dated 2017-06-28
DESCRIPTION | 22 MD5 | 33 - NAMESPACE | 2 NEWS.md | 13 R/tk_get_timeseries.R | 5 R/tk_index.R | 10 README.md | 64 +- build/vignette.rds |binary inst/doc/TK00_Time_Series_Coercion.html | 382 ++++++------- inst/doc/TK01_Working_With_Time_Series_Index.Rmd | 1 inst/doc/TK01_Working_With_Time_Series_Index.html | 200 +++--- inst/doc/TK02_Making_A_Future_Time_Series_Index.html | 8 inst/doc/TK03_Forecasting_Using_Time_Series_Signature.html | 142 ++-- tests/testthat/test_tk_augment_timeseries.R | 2 tests/testthat/test_tk_get_timeseries.R | 2 tests/testthat/test_tk_index.R | 21 tools/frequency_prediciton.png |only vignettes/TK01_Working_With_Time_Series_Index.Rmd | 1 18 files changed, 478 insertions(+), 430 deletions(-)
Title: Computation of Power and Level Tables for Hypothesis Tests
Description: Functions for the computation of power and level tables for hypothesis tests, in Latex format, functions to build explanatory graphs for studying power of test statistics.
Author: Pierre Lafaye de Micheaux <lafaye@unsw.edu.au>, Viet Anh Tran <vietanhtran184@yahoo.com>, Alain Desgagne <desgagne.alain@uqam.ca>
Maintainer: P. Lafaye de Micheaux <lafaye@unsw.edu.au>
Diff between PoweR versions 1.0.5 dated 2016-02-15 and 1.0.6 dated 2017-06-28
PoweR-1.0.5/PoweR/man/stat0035.DesgagneMicheauxLeblanc-P1.Rd |only PoweR-1.0.5/PoweR/man/stat0036.DesgagneMicheauxLeblanc-P2.Rd |only PoweR-1.0.5/PoweR/man/stat0037.DesgagneMicheaux-S.Rd |only PoweR-1.0.5/PoweR/man/stat0038.DesgagneMicheaux-C.Rd |only PoweR-1.0.5/PoweR/man/stat0039.DesgagneMicheaux-CS.Rd |only PoweR-1.0.5/PoweR/man/stat0040.DesgagneMicheauxLeblanc-Rn.Rd |only PoweR-1.0.5/PoweR/man/stat0084.DesgagneMicheauxLeblanc-nor1.Rd |only PoweR-1.0.5/PoweR/src/calcpuissRcpp.cpp |only PoweR-1.0.5/PoweR/src/laws-stats/stats/pvalues/pvalue38.cpp |only PoweR-1.0.5/PoweR/src/laws-stats/stats/pvalues/pvalue39.cpp |only PoweR-1.0.5/PoweR/src/laws-stats/stats/pvalues/pvalue40.cpp |only PoweR-1.0.5/PoweR/src/laws-stats/stats/pvalues/pvalue84.cpp |only PoweR-1.0.5/PoweR/src/laws-stats/stats/stat38.cpp |only PoweR-1.0.5/PoweR/src/laws-stats/stats/stat39.cpp |only PoweR-1.0.5/PoweR/src/laws-stats/stats/stat40.cpp |only PoweR-1.0.5/PoweR/src/laws-stats/stats/stat84.cpp |only PoweR-1.0.6/PoweR/DESCRIPTION | 16 PoweR-1.0.6/PoweR/MD5 | 240 ++-- PoweR-1.0.6/PoweR/NAMESPACE | 5 PoweR-1.0.6/PoweR/R/calcFx.R | 28 PoweR-1.0.6/PoweR/R/checklaw.R | 82 - PoweR-1.0.6/PoweR/R/compquant.R | 139 +- PoweR-1.0.6/PoweR/R/create.alter.R | 43 PoweR-1.0.6/PoweR/R/gensample.R | 24 PoweR-1.0.6/PoweR/R/getindex.R | 134 +- PoweR-1.0.6/PoweR/R/getnbparlaws.R | 38 PoweR-1.0.6/PoweR/R/getnbparstats.R | 42 PoweR-1.0.6/PoweR/R/graph.R | 43 PoweR-1.0.6/PoweR/R/help.law.R | 20 PoweR-1.0.6/PoweR/R/help.stat.R | 20 PoweR-1.0.6/PoweR/R/law.cstr.R | 42 PoweR-1.0.6/PoweR/R/many.crit.R | 293 ++--- PoweR-1.0.6/PoweR/R/many.pval.R | 194 +-- PoweR-1.0.6/PoweR/R/plot.discrepancy.R | 47 PoweR-1.0.6/PoweR/R/plot.pvalue.R | 48 PoweR-1.0.6/PoweR/R/plot.sizepower.R | 58 - PoweR-1.0.6/PoweR/R/powcomp-easy.R | 259 ++-- PoweR-1.0.6/PoweR/R/powcomp-fast.R | 408 +++---- PoweR-1.0.6/PoweR/R/powergui.R | 6 PoweR-1.0.6/PoweR/R/print.critvalues.R | 8 PoweR-1.0.6/PoweR/R/print.critvalues1.R | 188 +-- PoweR-1.0.6/PoweR/R/print.index.R | 8 PoweR-1.0.6/PoweR/R/print.power.R | 10 PoweR-1.0.6/PoweR/R/print.power1.R | 395 +++---- PoweR-1.0.6/PoweR/R/pvalueMC.R | 121 +- PoweR-1.0.6/PoweR/R/stat.cstr.R | 29 PoweR-1.0.6/PoweR/R/statcompute.R | 89 - PoweR-1.0.6/PoweR/R/zzz.R | 11 PoweR-1.0.6/PoweR/TODO | 13 PoweR-1.0.6/PoweR/inst/HISTORY | 67 + PoweR-1.0.6/PoweR/inst/examples/Normality022.txt |only PoweR-1.0.6/PoweR/inst/laws/densities.R | 15 PoweR-1.0.6/PoweR/inst/laws/moments.R | 7 PoweR-1.0.6/PoweR/inst/power.gui.R | 154 +- PoweR-1.0.6/PoweR/inst/statsPureR |only PoweR-1.0.6/PoweR/man/Distributions.Rd | 4 PoweR-1.0.6/PoweR/man/Normality.tests.Rd | 12 PoweR-1.0.6/PoweR/man/calcFx.Rd | 11 PoweR-1.0.6/PoweR/man/densities.Rd | 1 PoweR-1.0.6/PoweR/man/law0017.JohnsonSU.Rd | 4 PoweR-1.0.6/PoweR/man/law0023.GeneralizedPareto.Rd | 2 PoweR-1.0.6/PoweR/man/law0029.GeneralizedArcsine.Rd | 2 PoweR-1.0.6/PoweR/man/law0038.AsymmetricPowerDistribution.Rd | 6 PoweR-1.0.6/PoweR/man/law0039.modifiedAsymmetricPowerDistribution.Rd | 8 PoweR-1.0.6/PoweR/man/law0040.Log-Pareto-tail-normal.Rd |only PoweR-1.0.6/PoweR/man/moments.Rd | 1 PoweR-1.0.6/PoweR/man/powcomp-fast.Rd | 4 PoweR-1.0.6/PoweR/man/stat0035.DesgagneLafayeDeMicheauxLeblanc-Rn.Rd |only PoweR-1.0.6/PoweR/man/stat0036.DesgagneLafayeDeMicheaux-XAPD.Rd |only PoweR-1.0.6/PoweR/man/stat0037.DesgagneLafayeDeMicheaux-ZEPD.Rd |only PoweR-1.0.6/PoweR/man/statcompute.Rd | 38 PoweR-1.0.6/PoweR/man/statsPureR.Rd |only PoweR-1.0.6/PoweR/src/PoweR_init.c |only PoweR-1.0.6/PoweR/src/Rcpp |only PoweR-1.0.6/PoweR/src/calcpuiss.cpp | 93 - PoweR-1.0.6/PoweR/src/laws-stats/def-laws-stats.cpp | 31 PoweR-1.0.6/PoweR/src/laws-stats/laws/law1.cpp | 18 PoweR-1.0.6/PoweR/src/laws-stats/laws/law10.cpp | 12 PoweR-1.0.6/PoweR/src/laws-stats/laws/law11.cpp | 12 PoweR-1.0.6/PoweR/src/laws-stats/laws/law12.cpp | 10 PoweR-1.0.6/PoweR/src/laws-stats/laws/law13.cpp | 12 PoweR-1.0.6/PoweR/src/laws-stats/laws/law14.cpp | 20 PoweR-1.0.6/PoweR/src/laws-stats/laws/law15.cpp | 20 PoweR-1.0.6/PoweR/src/laws-stats/laws/law16.cpp | 22 PoweR-1.0.6/PoweR/src/laws-stats/laws/law17.cpp | 24 PoweR-1.0.6/PoweR/src/laws-stats/laws/law18.cpp | 16 PoweR-1.0.6/PoweR/src/laws-stats/laws/law19.cpp | 18 PoweR-1.0.6/PoweR/src/laws-stats/laws/law2.cpp | 12 PoweR-1.0.6/PoweR/src/laws-stats/laws/law20.cpp | 15 PoweR-1.0.6/PoweR/src/laws-stats/laws/law21.cpp | 22 PoweR-1.0.6/PoweR/src/laws-stats/laws/law22.cpp | 18 PoweR-1.0.6/PoweR/src/laws-stats/laws/law23.cpp | 24 PoweR-1.0.6/PoweR/src/laws-stats/laws/law24.cpp | 21 PoweR-1.0.6/PoweR/src/laws-stats/laws/law25.cpp | 40 PoweR-1.0.6/PoweR/src/laws-stats/laws/law26.cpp | 12 PoweR-1.0.6/PoweR/src/laws-stats/laws/law27.cpp | 12 PoweR-1.0.6/PoweR/src/laws-stats/laws/law28.cpp | 14 PoweR-1.0.6/PoweR/src/laws-stats/laws/law29.cpp | 12 PoweR-1.0.6/PoweR/src/laws-stats/laws/law3.cpp | 12 PoweR-1.0.6/PoweR/src/laws-stats/laws/law30.cpp | 12 PoweR-1.0.6/PoweR/src/laws-stats/laws/law31.cpp | 18 PoweR-1.0.6/PoweR/src/laws-stats/laws/law32.cpp | 16 PoweR-1.0.6/PoweR/src/laws-stats/laws/law33.cpp | 38 PoweR-1.0.6/PoweR/src/laws-stats/laws/law34.cpp | 64 - PoweR-1.0.6/PoweR/src/laws-stats/laws/law35.cpp | 12 PoweR-1.0.6/PoweR/src/laws-stats/laws/law36.cpp | 14 PoweR-1.0.6/PoweR/src/laws-stats/laws/law37.cpp | 26 PoweR-1.0.6/PoweR/src/laws-stats/laws/law38.cpp | 22 PoweR-1.0.6/PoweR/src/laws-stats/laws/law39.cpp | 26 PoweR-1.0.6/PoweR/src/laws-stats/laws/law4.cpp | 8 PoweR-1.0.6/PoweR/src/laws-stats/laws/law40.cpp |only PoweR-1.0.6/PoweR/src/laws-stats/laws/law5.cpp | 12 PoweR-1.0.6/PoweR/src/laws-stats/laws/law6.cpp | 12 PoweR-1.0.6/PoweR/src/laws-stats/laws/law7.cpp | 8 PoweR-1.0.6/PoweR/src/laws-stats/laws/law8.cpp | 12 PoweR-1.0.6/PoweR/src/laws-stats/laws/law9.cpp | 12 PoweR-1.0.6/PoweR/src/laws-stats/register.cpp | 42 PoweR-1.0.6/PoweR/src/laws-stats/stats/pvalues/pvalue35.cpp | 65 + PoweR-1.0.6/PoweR/src/laws-stats/stats/pvalues/pvalue36.cpp | 544 +++++++++- PoweR-1.0.6/PoweR/src/laws-stats/stats/pvalues/pvalue37.cpp | 105 - PoweR-1.0.6/PoweR/src/laws-stats/stats/pvalues/pvalue7.cpp | 2 PoweR-1.0.6/PoweR/src/laws-stats/stats/pvalues/pvalue8.cpp | 2 PoweR-1.0.6/PoweR/src/laws-stats/stats/stat1.cpp | 30 PoweR-1.0.6/PoweR/src/laws-stats/stats/stat16.cpp | 24 PoweR-1.0.6/PoweR/src/laws-stats/stats/stat2.cpp | 36 PoweR-1.0.6/PoweR/src/laws-stats/stats/stat3.cpp | 32 PoweR-1.0.6/PoweR/src/laws-stats/stats/stat35.cpp | 87 - 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Title: Finding Multiple-Objective Optimal Designs for the 4-Parameter
Logistic Model
Description: Provide tools for finding multiple-objective optimal designs for
estimating the shape of dose-response, the ED50 (the dose producing an effect
midway between the expected responses at the extreme doses) and the MED (the
minimum effective dose level) for the 2,3,4-parameter logistic models and for
evaluating its efficiencies for the three objectives. The acronym VNM stands
for V-algorithm using Newton Raphson method to search multiple-objective
optimal design.
Author: Seung Won Hyun, Weng Kee Wong, and Yarong Yang
Maintainer: Yarong Yang <yarongyang78@gmail.com>
Diff between VNM versions 4.1 dated 2016-02-10 and 5.1 dated 2017-06-28
DESCRIPTION | 22 ++-- MD5 | 29 ++--- NAMESPACE | 9 - R/RcppExports.R | 231 ++++++++++++++++++++++---------------------- man/Deff.Rd | 35 ++++-- man/MOPT.Rd | 36 ++++-- man/OPT-class.Rd | 6 - man/PAR-class.Rd | 6 - man/S.Weight.Rd | 26 +++- man/SW-class.Rd | 6 - man/VNM-package.Rd | 63 +++++++++--- man/ceff1.Rd | 33 ++++-- man/ceff2.Rd | 36 ++++-- src/RcppExports.cpp | 227 +++++++++++++++++++++---------------------- src/ff.cpp | 5 src/registerDynamicSymbol.c |only 16 files changed, 428 insertions(+), 342 deletions(-)
Title: Manipulate R Data Frames Using SQL
Description: The sqldf() function is typically passed a single argument which
is an SQL select statement where the table names are ordinary R data
frame names. sqldf() transparently sets up a database, imports the
data frames into that database, performs the SQL select or other
statement and returns the result using a heuristic to determine which
class to assign to each column of the returned data frame. The sqldf()
or read.csv.sql() functions can also be used to read filtered files
into R even if the original files are larger than R itself can handle.
'RSQLite', 'RH2', 'RMySQL' and 'RPostgreSQL' backends are supported.
Author: G. Grothendieck <ggrothendieck@gmail.com>
Maintainer: G. Grothendieck <ggrothendieck@gmail.com>
Diff between sqldf versions 0.4-10 dated 2014-11-06 and 0.4-11 dated 2017-06-28
sqldf-0.4-10/sqldf/inst/TODO |only sqldf-0.4-10/sqldf/tests/doSvUnit.Rout |only sqldf-0.4-11/sqldf/DESCRIPTION | 29 +++-- sqldf-0.4-11/sqldf/INSTALL | 136 +++++++--------------------- sqldf-0.4-11/sqldf/MD5 | 19 +-- sqldf-0.4-11/sqldf/NAMESPACE | 2 sqldf-0.4-11/sqldf/R/sqldf.R | 44 +++------ sqldf-0.4-11/sqldf/README.md |only sqldf-0.4-11/sqldf/demo/sqldf-groupchoose.R | 1 sqldf-0.4-11/sqldf/inst/NEWS | 6 + sqldf-0.4-11/sqldf/man/sqldf-package.Rd | 4 sqldf-0.4-11/sqldf/man/sqldf.Rd | 2 12 files changed, 92 insertions(+), 151 deletions(-)
Title: Performs Bayesian Variable Selection on the Covariates in a
Semi-Competing Risks Model
Description: Contains four functions used in the DIC-tau_g procedure. SCRSELECT() and SCRSELECTRUN() uses Stochastic Search Variable Selection to select important
covariates in the three hazard functions of a semi-competing risks model. These functions perform the Gibbs sampler for variable selection and a Metropolis-Hastings-Green sampler for the number of split points and parameters for the
three baseline hazard function. The function SCRSELECT() returns the posterior sample of all quantities sampled in the Gibbs sampler after a burn-in period to a desired
file location, while the function SCRSELECTRUN() returns posterior values of important quantities to the DIC-Tau_g procedure in a list.
The function DICTAUG() returns a list containing the DIC values for the unique models visited by the DIC-Tau_g grid search.
The function ReturnModel() uses SCRSELECTRUN() and DICTAUG() to return a summary of the posterior coefficient vectors for the optimal model along with saving this posterior sample to a desired path location.
Author: Andrew Chapple [aut, cre]
Maintainer: Andrew Chapple <Andrew.G.Chapple@rice.edu>
Diff between SCRSELECT versions 1.1-3 dated 2017-05-29 and 1.2-2 dated 2017-06-28
DESCRIPTION | 6 MD5 | 18 R/DICTAUG.R | 873 ++++++- R/ReturnModel.R | 305 +- R/SCRSELECT.R | 17 R/SCRSELECTRETURN.R | 6209 +++++++++++++++++++++++++++++++++++++++++++++++++++- man/DICTAUG.Rd | 1 man/ReturnModel.Rd | 1 man/SCRSELECT.Rd | 1 man/SCRSELECTRUN.Rd | 1 10 files changed, 7252 insertions(+), 180 deletions(-)
Title: Analysis of Parent-Specific DNA Copy Numbers
Description: Segmentation of allele-specific DNA copy number data and detection of regions with abnormal copy number within each parental chromosome. Both tumor-normal paired and tumor-only analyses are supported.
Author: Henrik Bengtsson [aut, cre, cph],
Pierre Neuvial [aut],
Venkatraman E. Seshan [aut],
Adam B. Olshen [aut],
Paul T. Spellman [aut],
Richard A. Olshen [aut]
Maintainer: Henrik Bengtsson <henrikb@braju.com>
Diff between PSCBS versions 0.62.0 dated 2016-11-10 and 0.63.0 dated 2017-06-28
DESCRIPTION | 22 MD5 | 55 NAMESPACE | 10 NEWS | 3611 ++++++++++++++++++++++------------- R/CBS.CALL.R | 3 R/CBS.R | 2 R/NonPairedPSCBS.R | 2 R/PSCBS.isLocallyPhased.R |only R/PairedPSCBS.R | 4 R/PairedPSCBS.callCopyNeutral.R | 69 R/PairedPSCBS.estimateKappa.R | 3 R/callSegmentationOutliers.R | 4 R/findNeutralCopyNumberState.R | 4 R/segmentByCBS.R | 5 R/segmentByNonPairedPSCBS.R | 1 R/segmentByPairedPSCBS.R | 4 R/zzz.R | 64 build/vignette.rds |binary inst/doc/CBS.R | 12 inst/doc/CBS.pdf |binary inst/doc/PairedPSCBS.R | 12 inst/doc/PairedPSCBS.pdf |binary man/Non-documented_objects.Rd | 2 man/NonPairedPSCBS.Rd | 2 man/PSCBS.Rd | 1 man/PairedPSCBS.Rd | 2 man/estimateDeltaCN.PairedPSCBS.Rd | 6 tests/segmentByCBS,futures.R | 10 tests/segmentByPairedPSCBS,futures.R | 4 29 files changed, 2516 insertions(+), 1398 deletions(-)
Title: R Package for Fitting the Multinomial Probit Model
Description: Fits the Bayesian multinomial probit model via Markov chain
Monte Carlo. The multinomial probit model is often used to analyze
the discrete choices made by individuals recorded in survey data.
Examples where the multinomial probit model may be useful include the
analysis of product choice by consumers in market research and the
analysis of candidate or party choice by voters in electoral studies.
The MNP package can also fit the model with different choice sets for
each individual, and complete or partial individual choice orderings
of the available alternatives from the choice set. The estimation is
based on the efficient marginal data augmentation algorithm that is
developed by Imai and van Dyk (2005). ``A Bayesian Analysis of the
Multinomial Probit Model Using the Data Augmentation,'' Journal of
Econometrics, Vol. 124, No. 2 (February), pp. 311-334.
<DOI:10.1016/j.jeconom.2004.02.002> Detailed examples are given in
Imai and van Dyk (2005). ``MNP: R Package for Fitting the Multinomial
Probit Model.'' Journal of Statistical Software, Vol. 14, No. 3 (May),
pp. 1-32. <DOI:10.18637/jss.v014.i03>.
Author: Kosuke Imai [aut, cre],
David van Dyk [aut],
Hubert Jin [ctb]
Maintainer: Kosuke Imai <kimai@princeton.edu>
Diff between MNP versions 3.0-1 dated 2017-05-06 and 3.0-2 dated 2017-06-28
MNP-3.0-1/MNP/README.md |only MNP-3.0-1/MNP/src/registerDynamicSymbols.c |only MNP-3.0-2/MNP/ChangeLog | 1 + MNP-3.0-2/MNP/DESCRIPTION | 12 ++++++------ MNP-3.0-2/MNP/MD5 | 13 ++++++------- MNP-3.0-2/MNP/R/predict.mnp.R | 3 ++- MNP-3.0-2/MNP/build/vignette.rds |binary MNP-3.0-2/MNP/inst/doc/MNP.pdf |binary MNP-3.0-2/MNP/src/init.c |only 9 files changed, 15 insertions(+), 14 deletions(-)
Title: High-Performance Stemmer, Tokenizer, and Spell Checker for R
Description: A spell checker and morphological analyzer library designed for
languages with rich morphology and complex word compounding or character
encoding. The package can check and analyze individual words as well as
search for incorrect words within a text, latex, html or xml document. Use
the 'devtools' package to spell check R documentation with 'hunspell'.
Author: Jeroen Ooms
Maintainer: Jeroen Ooms <jeroen@berkeley.edu>
Diff between hunspell versions 2.5 dated 2017-05-21 and 2.6 dated 2017-06-28
DESCRIPTION | 6 +++--- MD5 | 28 ++++++++++++++-------------- NEWS | 4 ++++ README.md | 2 -- inst/doc/intro.html | 34 +++++++++++++++++----------------- src/find.cpp | 2 +- src/hunspell/affentry.hxx | 4 ++-- src/hunspell/affixmgr.cc | 2 +- src/hunspell/affixmgr.hxx | 2 +- src/hunspell/filemgr.hxx | 2 +- src/hunspell/hashmgr.hxx | 2 +- src/hunspell/hunspell.cc | 2 +- src/hunspell/hunvisapi.h | 2 +- src/hunspell/suggestmgr.hxx | 2 +- src/utils.h | 2 +- 15 files changed, 49 insertions(+), 47 deletions(-)
Title: 'ggplot2' Based Publication Ready Plots
Description: 'ggplot2' is an excellent and flexible package for elegant data
visualization in R. However the default generated plots requires some formatting
before we can send them for publication. Furthermore, to customize a 'ggplot',
the syntax is opaque and this raises the level of difficulty for researchers
with no advanced R programming skills. 'ggpubr' provides some easy-to-use
functions for creating and customizing 'ggplot2'- based publication ready plots.
Author: Alboukadel Kassambara [aut, cre]
Maintainer: Alboukadel Kassambara <alboukadel.kassambara@gmail.com>
Diff between ggpubr versions 0.1.3 dated 2017-06-06 and 0.1.4 dated 2017-06-28
DESCRIPTION | 29 ++-- MD5 | 65 ++++++--- NAMESPACE | 17 ++ NEWS.md | 77 +++++++---- R/annotate_figure.R |only R/as_ggplot.R |only R/background_image.R |only R/desc_statby.R | 2 R/facet.R | 6 R/get_legend.R |only R/ggarrange.R | 98 +++++++++++--- R/gghistogram.R | 7 - R/ggparagraph.R |only R/ggtexttable.R |only R/gradient_color.R |only R/rotate_axis_text.R | 2 R/rremove.R | 21 ++- R/set_palette.R | 66 ++++++++- R/text_grob.R |only R/theme_pubr.R | 20 ++ R/theme_transparent.R |only R/utilities.R | 19 ++ R/utilities_color.R | 52 ------- inst |only man/annotate_figure.Rd |only man/as_ggplot.Rd |only man/background_image.Rd |only man/facet.Rd | 6 man/get_legend.Rd |only man/ggarrange.Rd | 39 +++++ man/ggparagraph.Rd |only man/ggtexttable.Rd |only man/gradient_color.Rd |only man/rotate_axis_text.Rd | 2 man/rremove.Rd | 39 +++-- man/set_palette.Rd | 16 ++ man/text_grob.Rd |only man/theme_pubr.Rd | 7 - man/theme_transparent.Rd |only tools/README-ggpubr-1.png |binary tools/README-ggpubr-2.png |binary tools/README-ggpubr-box-plot-dot-plots-strip-charts-2.png |binary tools/README-ggpubr-box-plot-dot-plots-strip-charts-3.png |binary 43 files changed, 428 insertions(+), 162 deletions(-)
More information about ForecastFramework at CRAN
Permanent link
Title: Additional Univariate and Multivariate Distributions
Description: Density, distribution function, quantile function
and random generation for a number of univariate
and multivariate distributions. This package implements the
following distributions: Bernoulli, beta-binomial, beta-negative
binomial, beta prime, Bhattacharjee, Birnbaum-Saunders,
bivariate normal, bivariate Poisson, categorical, Dirichlet,
Dirichlet-multinomial, discrete gamma, discrete Laplace,
discrete normal, discrete uniform, discrete Weibull, Frechet,
gamma-Poisson, generalized extreme value, Gompertz,
generalized Pareto, Gumbel, half-Cauchy, half-normal, half-t,
Huber density, inverse chi-squared, inverse-gamma, Kumaraswamy,
Laplace, logarithmic, Lomax, multivariate hypergeometric,
multinomial, negative hypergeometric, non-standard t,
non-standard beta, normal mixture, Poisson mixture, Pareto,
power, reparametrized beta, Rayleigh, shifted Gompertz, Skellam,
slash, triangular, truncated binomial, truncated normal,
truncated Poisson, Tukey lambda, Wald, zero-inflated binomial,
zero-inflated negative binomial, zero-inflated Poisson.
Author: Tymoteusz Wolodzko
Maintainer: Tymoteusz Wolodzko <twolodzko+extraDistr@gmail.com>
Diff between extraDistr versions 1.8.5 dated 2017-04-04 and 1.8.6 dated 2017-06-28
extraDistr-1.8.5/extraDistr/README.md |only extraDistr-1.8.5/extraDistr/src/Rcpp_init_extraDistr.c |only extraDistr-1.8.6/extraDistr/DESCRIPTION | 8 extraDistr-1.8.6/extraDistr/MD5 | 151 ++-- extraDistr-1.8.6/extraDistr/NEWS.md | 16 extraDistr-1.8.6/extraDistr/R/RcppExports.R | 370 +++++----- extraDistr-1.8.6/extraDistr/R/bernoulli-distribution.R | 6 extraDistr-1.8.6/extraDistr/R/beta-binomial-distribution.R | 4 extraDistr-1.8.6/extraDistr/R/beta-negative-binomial-distribution.R | 4 extraDistr-1.8.6/extraDistr/R/beta-prime-distribution.R | 6 extraDistr-1.8.6/extraDistr/R/bhattacharjee-distribution.R | 4 extraDistr-1.8.6/extraDistr/R/birnbaum-saunders-distribution.R | 6 extraDistr-1.8.6/extraDistr/R/bivariate-normal-distribution.R | 4 extraDistr-1.8.6/extraDistr/R/bivariate-poisson-distribution.R | 2 extraDistr-1.8.6/extraDistr/R/categorical-distribution.R | 6 extraDistr-1.8.6/extraDistr/R/dirichlet-distribution.R | 2 extraDistr-1.8.6/extraDistr/R/dirichlet-multinomial-distribution.R | 2 extraDistr-1.8.6/extraDistr/R/discrete-gamma-distribution.R | 6 extraDistr-1.8.6/extraDistr/R/discrete-laplace-distribution.R | 4 extraDistr-1.8.6/extraDistr/R/discrete-normal-distribution.R | 4 extraDistr-1.8.6/extraDistr/R/discrete-uniform-distribution.R | 6 extraDistr-1.8.6/extraDistr/R/discrete-weibull-distribution.R | 6 extraDistr-1.8.6/extraDistr/R/frechet-distribution.R | 6 extraDistr-1.8.6/extraDistr/R/gamma-poisson-distribution.R | 4 extraDistr-1.8.6/extraDistr/R/gev-distribution.R | 6 extraDistr-1.8.6/extraDistr/R/gompertz-distribution.R | 6 extraDistr-1.8.6/extraDistr/R/gpd-distribution.R | 6 extraDistr-1.8.6/extraDistr/R/gumbel-distribution.R | 6 extraDistr-1.8.6/extraDistr/R/half-cauchy-distribution.R | 6 extraDistr-1.8.6/extraDistr/R/half-normal-distribution.R | 6 extraDistr-1.8.6/extraDistr/R/half-t-distribution.R | 6 extraDistr-1.8.6/extraDistr/R/huber-distribution.R | 6 extraDistr-1.8.6/extraDistr/R/inverse-chi-squared-distribution.R | 12 extraDistr-1.8.6/extraDistr/R/inverse-gamma-distribution.R | 6 extraDistr-1.8.6/extraDistr/R/kumaraswamy-distribution.R | 6 extraDistr-1.8.6/extraDistr/R/laplace-distribution.R | 6 extraDistr-1.8.6/extraDistr/R/logarithmic-series-distribution.R | 10 extraDistr-1.8.6/extraDistr/R/lomax-distribution.R | 6 extraDistr-1.8.6/extraDistr/R/mixture-of-normal-distributions.R | 4 extraDistr-1.8.6/extraDistr/R/mixture-of-poisson-distributions.R | 4 extraDistr-1.8.6/extraDistr/R/multinomial-distribution.R | 2 extraDistr-1.8.6/extraDistr/R/multivariate-hypergeometric-distribution.R | 2 extraDistr-1.8.6/extraDistr/R/negative-hypergeometric-distribution.R | 6 extraDistr-1.8.6/extraDistr/R/non-standard-beta-distribution.R | 6 extraDistr-1.8.6/extraDistr/R/non-standard-t-distribution.R | 6 extraDistr-1.8.6/extraDistr/R/pareto-distribution.R | 6 extraDistr-1.8.6/extraDistr/R/power-distribution.R | 6 extraDistr-1.8.6/extraDistr/R/proportion-distribution.R | 10 extraDistr-1.8.6/extraDistr/R/rayleigh-distribution.R | 6 extraDistr-1.8.6/extraDistr/R/shifted-gompertz-distribution.R | 4 extraDistr-1.8.6/extraDistr/R/skellam-distribution.R | 2 extraDistr-1.8.6/extraDistr/R/slash-distribution.R | 4 extraDistr-1.8.6/extraDistr/R/triangular-distribution.R | 6 extraDistr-1.8.6/extraDistr/R/truncated-binomial-distribution.R | 6 extraDistr-1.8.6/extraDistr/R/truncated-normal-distribution.R | 10 extraDistr-1.8.6/extraDistr/R/truncated-poisson-distributtion.R | 4 extraDistr-1.8.6/extraDistr/R/tuckey-lambda-distribution.R | 2 extraDistr-1.8.6/extraDistr/R/wald-distribution.R | 4 extraDistr-1.8.6/extraDistr/R/zero-inflated-binomial-distribution.R | 6 extraDistr-1.8.6/extraDistr/R/zero-inflated-negative-binomial-distribution.R | 8 extraDistr-1.8.6/extraDistr/R/zero-inflated-poisson-distribution.R | 6 extraDistr-1.8.6/extraDistr/man/BivNormal.Rd | 2 extraDistr-1.8.6/extraDistr/man/DiscreteGamma.Rd | 2 extraDistr-1.8.6/extraDistr/man/LogSeries.Rd | 4 extraDistr-1.8.6/extraDistr/man/PropBeta.Rd | 4 extraDistr-1.8.6/extraDistr/man/TruncNormal.Rd | 4 extraDistr-1.8.6/extraDistr/man/ZINB.Rd | 2 extraDistr-1.8.6/extraDistr/src/RcppExports.cpp | 208 +++++ extraDistr-1.8.6/extraDistr/src/beta-binomial-distribution.cpp | 4 extraDistr-1.8.6/extraDistr/src/beta-negative-binomial-distribution.cpp | 4 extraDistr-1.8.6/extraDistr/src/gamma-poisson-distribution.cpp | 4 extraDistr-1.8.6/extraDistr/src/inverse-gamma-distribution.cpp | 49 + extraDistr-1.8.6/extraDistr/src/negative-hypergeometric-distribution.cpp | 8 extraDistr-1.8.6/extraDistr/src/truncated-normal-distribution.cpp | 28 extraDistr-1.8.6/extraDistr/tests/testthat/test-discrete-sum-to-unity.R | 2 extraDistr-1.8.6/extraDistr/tests/testthat/test-multivariate-distributions.R | 6 extraDistr-1.8.6/extraDistr/tests/testthat/test-p-r-random-tests.R |only extraDistr-1.8.6/extraDistr/tests/testthat/test-rng-coverge.R |only extraDistr-1.8.6/extraDistr/tests/testthat/test-rtnorm-in-bounds.R |only 79 files changed, 729 insertions(+), 443 deletions(-)
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2017-05-29 1.5-1
2017-04-18 1.5-0
2013-12-10 1.4-9
2013-02-11 1.4-8
2011-12-27 1.4-6
2011-03-27 1.4-5
2010-10-20 1.4-3
2010-02-22 1.4-2
2009-10-26 1.3-8
2009-09-08 1.3-0
2009-04-15 1.1-8
2009-01-20 1.1-7
2008-11-24 1.1-6