Mon, 05 Aug 2019

Package pkgbuild updated to version 1.0.4 with previous version 1.0.3 dated 2019-03-20

Title: Find Tools Needed to Build R Packages
Description: Provides functions used to build R packages. Locates compilers needed to build R packages on various platforms and ensures the PATH is configured appropriately so R can use them.
Author: Hadley Wickham [aut], Jim Hester [aut, cre], RStudio [cph]
Maintainer: Jim Hester <jim.hester@rstudio.com>

Diff between pkgbuild versions 1.0.3 dated 2019-03-20 and 1.0.4 dated 2019-08-05

 DESCRIPTION                         |   14 +++++------
 MD5                                 |   22 +++++++++---------
 NEWS.md                             |   18 ++++++++++++++
 R/build-bg.R                        |   44 +++++++++++++++---------------------
 R/build-tools.R                     |    9 +++++--
 R/build.R                           |   20 +++++++++-------
 R/compiler.R                        |    5 ++--
 R/rcmd.R                            |    4 +--
 R/rtools-cache.R                    |    8 ++++++
 man/build.Rd                        |   11 ++++++---
 man/has_compiler.Rd                 |    2 -
 tests/testthat/test-build-process.r |   19 ---------------
 12 files changed, 96 insertions(+), 80 deletions(-)

More information about pkgbuild at CRAN
Permanent link

Package scoper updated to version 0.2.0 with previous version 0.1.0 dated 2018-10-14

Title: Spectral Clustering-Based Method for Identifying B Cell Clones
Description: Provides a computational framework for B cell clones identification from adaptive immune receptor repertoire sequencing (AIRR-Seq) datasets. Three models are included (identical, hierarchical, and spectral) that perform clustering among sequences of BCRs/IGs (B cell receptors/immunoglobulins) which share the same V gene, J gene and junction length. Nouri N and Kleinstein SH (2018) <doi: 10.1093/bioinformatics/bty235>. Gupta NT, et al. (2017) <doi: 10.4049/jimmunol.1601850>.
Author: Nima Nouri [aut, cre], Jason Vander Heiden [ctb], Steven Kleinstein [aut, cph]
Maintainer: Nima Nouri <nima.nouri@yale.edu>

Diff between scoper versions 0.1.0 dated 2018-10-14 and 0.2.0 dated 2019-08-05

 scoper-0.1.0/scoper/data/ClonedExampleDb.rda      |only
 scoper-0.1.0/scoper/inst/doc/Scoper-Vignette.html |only
 scoper-0.1.0/scoper/man/ClonalAnalysis-class.Rd   |only
 scoper-0.1.0/scoper/man/analyzeClones.Rd          |only
 scoper-0.2.0/scoper/DESCRIPTION                   |   34 
 scoper-0.2.0/scoper/MD5                           |   37 
 scoper-0.2.0/scoper/NAMESPACE                     |   45 
 scoper-0.2.0/scoper/NEWS.md                       |   31 
 scoper-0.2.0/scoper/R/Data.R                      |   13 
 scoper-0.2.0/scoper/R/Functions.R                 | 1889 +++++++++++++---------
 scoper-0.2.0/scoper/R/RcppExports.R               |only
 scoper-0.2.0/scoper/R/Scoper.R                    |   51 
 scoper-0.2.0/scoper/README.md                     |   13 
 scoper-0.2.0/scoper/build/vignette.rds            |binary
 scoper-0.2.0/scoper/inst/CITATION                 |only
 scoper-0.2.0/scoper/inst/doc/Scoper-Vignette.R    |   70 
 scoper-0.2.0/scoper/inst/doc/Scoper-Vignette.Rmd  |  295 +--
 scoper-0.2.0/scoper/inst/doc/Scoper-Vignette.pdf  |only
 scoper-0.2.0/scoper/man/ExampleDb.Rd              |    5 
 scoper-0.2.0/scoper/man/defineClonesScoper.Rd     |  141 +
 scoper-0.2.0/scoper/man/scoper.Rd                 |   17 
 scoper-0.2.0/scoper/src                           |only
 scoper-0.2.0/scoper/vignettes/Scoper-Vignette.Rmd |  295 +--
 23 files changed, 1739 insertions(+), 1197 deletions(-)

More information about scoper at CRAN
Permanent link

Package pivottabler updated to version 1.2.1 with previous version 1.2.0 dated 2019-03-20

Title: Create Pivot Tables in R
Description: Create regular pivot tables with just a few lines of R. More complex pivot tables can also be created, e.g. pivot tables with irregular layouts, multiple calculations and/or derived calculations based on multiple data frames. Pivot tables are constructed using R only and can be written to a range of output formats (plain text, 'HTML', 'Latex' and 'Excel'), including with styling/formatting.
Author: Christopher Bailiss [aut, cre]
Maintainer: Christopher Bailiss <cbailiss@gmail.com>

Diff between pivottabler versions 1.2.0 dated 2019-03-20 and 1.2.1 dated 2019-08-05

 DESCRIPTION                            |    6 -
 MD5                                    |   38 ++++-----
 NEWS.md                                |   10 ++
 R/PivotTable.R                         |    3 
 build/vignette.rds                     |binary
 inst/doc/v01-introduction.html         |  106 +++++++++++++------------
 inst/doc/v02-datagroups.html           |   66 ++++++++-------
 inst/doc/v03-calculations.html         |   86 ++++++++++----------
 inst/doc/v04-outputs.html              |   22 +++--
 inst/doc/v05-latexoutput.html          |   14 ++-
 inst/doc/v06-styling.html              |   58 +++++++------
 inst/doc/v07-findingandformatting.html |  138 ++++++++++++++++-----------------
 inst/doc/v08-cellcontext.html          |   30 ++++---
 inst/doc/v09-irregularlayout.html      |   66 ++++++++-------
 inst/doc/v10-performance.html          |   68 ++++++++--------
 inst/doc/v11-shiny.html                |   10 +-
 inst/doc/v12-excelexport.html          |   14 ++-
 inst/doc/vA1-appendix.html             |   22 +++--
 inst/doc/vA2-appendix.html             |   82 ++++++++++---------
 inst/doc/vA3-appendix.html             |   14 ++-
 20 files changed, 462 insertions(+), 391 deletions(-)

More information about pivottabler at CRAN
Permanent link

Package oncrawlR updated to version 0.1.6 with previous version 0.1.5 dated 2019-06-28

Title: Machine Learning for S.E.O
Description: Measures different aspects of page content, structure and performance for SEO (Search Engine Optimization). Aspects covered include HTML tags used in SEO, duplicate and near-duplicate content, structured data, on-site linking structure and popularity transfer, and many other amazing things. This package can be used to generate a real, full SEO audit report, which serves to detect errors or inefficiencies on a page that can be corrected in order to optimise its performance on search engines.
Author: Vincent Terrasi [aut, cre], OnCrawl [cph, fnd]
Maintainer: Vincent Terrasi <vincent@data-seo.com>

Diff between oncrawlR versions 0.1.5 dated 2019-06-28 and 0.1.6 dated 2019-08-05

 DESCRIPTION                     |   17 ++-
 MD5                             |   17 ++-
 NAMESPACE                       |   12 ++
 R/utils-dataviz.R               |only
 R/utils-model.R                 |only
 R/utils.R                       |  169 ----------------------------------
 README.md                       |  198 ++++++++++++++++++++++++++++++++++++++--
 man/export_formattableWidget.Rd |only
 man/oncrawlCreateDashboard.Rd   |only
 man/oncrawlCreateGraph.Rd       |only
 man/oncrawlExplainModel.Rd      |    2 
 man/oncrawlTrainModel.Rd        |    2 
 12 files changed, 228 insertions(+), 189 deletions(-)

More information about oncrawlR at CRAN
Permanent link

Package negenes updated to version 1.0-12 with previous version 1.0-8 dated 2018-04-02

Title: Estimating the Number of Essential Genes in a Genome
Description: Estimating the number of essential genes in a genome on the basis of data from a random transposon mutagenesis experiment, through the use of a Gibbs sampler. Lamichhane et al. (2003) <doi:10.1073/pnas.1231432100>.
Author: Karl W Broman [aut, cre] (<https://orcid.org/0000-0002-4914-6671>)
Maintainer: Karl W Broman <broman@wisc.edu>

Diff between negenes versions 1.0-8 dated 2018-04-02 and 1.0-12 dated 2019-08-05

 negenes-1.0-12/negenes/ChangeLog          |only
 negenes-1.0-12/negenes/DESCRIPTION        |   26 ++--
 negenes-1.0-12/negenes/MD5                |   23 +--
 negenes-1.0-12/negenes/NAMESPACE          |   13 --
 negenes-1.0-12/negenes/R/Mtb80-data.R     |only
 negenes-1.0-12/negenes/R/negenes.R        |  193 ++++++++++++++----------------
 negenes-1.0-12/negenes/R/sim_mutants.R    |only
 negenes-1.0-12/negenes/README.md          |   15 ++
 negenes-1.0-12/negenes/data/Mtb80.RData   |binary
 negenes-1.0-12/negenes/inst/CITATION      |    6 
 negenes-1.0-12/negenes/man/Mtb80.Rd       |   60 ++++-----
 negenes-1.0-12/negenes/man/negenes.Rd     |  158 ++++++++++++------------
 negenes-1.0-12/negenes/man/sim.mutants.Rd |   81 ++++++------
 negenes-1.0-8/negenes/inst/INSTALL_ME.txt |only
 negenes-1.0-8/negenes/inst/STATUS.txt     |only
 15 files changed, 295 insertions(+), 280 deletions(-)

More information about negenes at CRAN
Permanent link

Package SemNetDictionaries updated to version 0.1.3 with previous version 0.1.2 dated 2019-06-19

Title: Dictionaries for the 'SemNetCleaner' Package
Description: Implements dictionaries that can be used in the 'SemNetCleaner' package. Also includes several functions aimed at facilitating the text cleaning analysis in the 'SemNetCleaner' package. This package is designed to integrate and update word lists and dictionaries based on each user's individual needs by allowing users to store and save their own dictionaries. Dictionaries can be added to the 'SemNetDictionaries' package by submitting user-defined dictionaries to <https://github.com/AlexChristensen/SemNetDictionaries>.
Author: Alexander P. Christensen [aut, cre] (<https://orcid.org/0000-0002-9798-7037>)
Maintainer: Alexander P. Christensen <alexpaulchristensen@gmail.com>

Diff between SemNetDictionaries versions 0.1.2 dated 2019-06-19 and 0.1.3 dated 2019-08-05

 SemNetDictionaries-0.1.2/SemNetDictionaries/R/fruits.misnomer.R               |only
 SemNetDictionaries-0.1.2/SemNetDictionaries/R/good.misnomer.R                 |only
 SemNetDictionaries-0.1.2/SemNetDictionaries/R/hot.misnomer.R                  |only
 SemNetDictionaries-0.1.2/SemNetDictionaries/R/jobs.misnomer.R                 |only
 SemNetDictionaries-0.1.2/SemNetDictionaries/R/vegetables.misnomer.R           |only
 SemNetDictionaries-0.1.2/SemNetDictionaries/data/fruits.misnomer.RData        |only
 SemNetDictionaries-0.1.2/SemNetDictionaries/data/good.misnomer.RData          |only
 SemNetDictionaries-0.1.2/SemNetDictionaries/data/hot.misnomer.RData           |only
 SemNetDictionaries-0.1.2/SemNetDictionaries/data/jobs.misnomer.RData          |only
 SemNetDictionaries-0.1.2/SemNetDictionaries/data/vegetables.misnomer.RData    |only
 SemNetDictionaries-0.1.2/SemNetDictionaries/man/fruits.misnomer.Rd            |only
 SemNetDictionaries-0.1.2/SemNetDictionaries/man/good.misnomer.Rd              |only
 SemNetDictionaries-0.1.2/SemNetDictionaries/man/hot.misnomer.Rd               |only
 SemNetDictionaries-0.1.2/SemNetDictionaries/man/jobs.misnomer.Rd              |only
 SemNetDictionaries-0.1.2/SemNetDictionaries/man/vegetables.misnomer.Rd        |only
 SemNetDictionaries-0.1.3/SemNetDictionaries/DESCRIPTION                       |   13 -
 SemNetDictionaries-0.1.3/SemNetDictionaries/MD5                               |   86 +++++-----
 SemNetDictionaries-0.1.3/SemNetDictionaries/NAMESPACE                         |    1 
 SemNetDictionaries-0.1.3/SemNetDictionaries/NEWS                              |   12 +
 SemNetDictionaries-0.1.3/SemNetDictionaries/R/SemNetDictionaries.R            |    4 
 SemNetDictionaries-0.1.3/SemNetDictionaries/R/animals.dictionary.R            |    4 
 SemNetDictionaries-0.1.3/SemNetDictionaries/R/animals.misnomer.R              |    8 
 SemNetDictionaries-0.1.3/SemNetDictionaries/R/animals.moniker.R               |only
 SemNetDictionaries-0.1.3/SemNetDictionaries/R/append.dictionary.R             |   51 +++++
 SemNetDictionaries-0.1.3/SemNetDictionaries/R/dictionaries.R                  |    1 
 SemNetDictionaries-0.1.3/SemNetDictionaries/R/find.dictionaries.R             |   79 ++++++---
 SemNetDictionaries-0.1.3/SemNetDictionaries/R/fruits.moniker.R                |only
 SemNetDictionaries-0.1.3/SemNetDictionaries/R/general.dictionary.R            |    8 
 SemNetDictionaries-0.1.3/SemNetDictionaries/R/good.moniker.R                  |only
 SemNetDictionaries-0.1.3/SemNetDictionaries/R/hot.moinker.R                   |only
 SemNetDictionaries-0.1.3/SemNetDictionaries/R/jobs.moniker.R                  |only
 SemNetDictionaries-0.1.3/SemNetDictionaries/R/load.dictionaries.R             |   19 +-
 SemNetDictionaries-0.1.3/SemNetDictionaries/R/load.misnomers.R                |    6 
 SemNetDictionaries-0.1.3/SemNetDictionaries/R/load.monikers.R                 |only
 SemNetDictionaries-0.1.3/SemNetDictionaries/R/vegetables.moniker.R            |only
 SemNetDictionaries-0.1.3/SemNetDictionaries/data/animals.dictionary.RData     |binary
 SemNetDictionaries-0.1.3/SemNetDictionaries/data/animals.misnomer.RData       |binary
 SemNetDictionaries-0.1.3/SemNetDictionaries/data/animals.moniker.RData        |only
 SemNetDictionaries-0.1.3/SemNetDictionaries/data/datalist                     |   11 -
 SemNetDictionaries-0.1.3/SemNetDictionaries/data/fruits.moniker.RData         |only
 SemNetDictionaries-0.1.3/SemNetDictionaries/data/general.dictionary.RData     |binary
 SemNetDictionaries-0.1.3/SemNetDictionaries/data/good.moniker.RData           |only
 SemNetDictionaries-0.1.3/SemNetDictionaries/data/hot.moniker.RData            |only
 SemNetDictionaries-0.1.3/SemNetDictionaries/data/jobs.moniker.RData           |only
 SemNetDictionaries-0.1.3/SemNetDictionaries/data/vegetables.moniker.RData     |only
 SemNetDictionaries-0.1.3/SemNetDictionaries/inst                              |only
 SemNetDictionaries-0.1.3/SemNetDictionaries/man/SemNetDictionaries-package.Rd |    4 
 SemNetDictionaries-0.1.3/SemNetDictionaries/man/animals.dictionary.Rd         |    4 
 SemNetDictionaries-0.1.3/SemNetDictionaries/man/animals.misnomer.Rd           |    8 
 SemNetDictionaries-0.1.3/SemNetDictionaries/man/animals.moniker.Rd            |only
 SemNetDictionaries-0.1.3/SemNetDictionaries/man/append.dictionary.Rd          |   16 +
 SemNetDictionaries-0.1.3/SemNetDictionaries/man/dictionaries.Rd               |    1 
 SemNetDictionaries-0.1.3/SemNetDictionaries/man/find.dictionaries.Rd          |   23 +-
 SemNetDictionaries-0.1.3/SemNetDictionaries/man/fruits.moniker.Rd             |only
 SemNetDictionaries-0.1.3/SemNetDictionaries/man/general.dictionary.Rd         |    8 
 SemNetDictionaries-0.1.3/SemNetDictionaries/man/good.moniker.Rd               |only
 SemNetDictionaries-0.1.3/SemNetDictionaries/man/hot.moniker.Rd                |only
 SemNetDictionaries-0.1.3/SemNetDictionaries/man/jobs.moniker.Rd               |only
 SemNetDictionaries-0.1.3/SemNetDictionaries/man/load.dictionaries.Rd          |   10 -
 SemNetDictionaries-0.1.3/SemNetDictionaries/man/load.misnomers.Rd             |    4 
 SemNetDictionaries-0.1.3/SemNetDictionaries/man/load.monikers.Rd              |only
 SemNetDictionaries-0.1.3/SemNetDictionaries/man/vegetables.moniker.Rd         |only
 62 files changed, 242 insertions(+), 139 deletions(-)

More information about SemNetDictionaries at CRAN
Permanent link

Package jmuOutlier updated to version 2.2 with previous version 2.1 dated 2019-07-22

Title: Permutation Tests for Nonparametric Statistics
Description: Performs a permutation test on the difference between two location parameters, a permutation correlation test, a permutation F-test, the Siegel-Tukey test, a ratio mean deviance test. Also performs some graphing techniques, such as for confidence intervals, vector addition, and Fourier analysis; and includes functions related to the Laplace (double exponential) and triangular distributions. Performs power calculations for the binomial test.
Author: Steven T. Garren
Maintainer: Steven T. Garren <GARRENST@JMU.EDU>

Diff between jmuOutlier versions 2.1 dated 2019-07-22 and 2.2 dated 2019-08-05

 DESCRIPTION        |    8 ++++----
 MD5                |    6 +++---
 man/read.table2.Rd |    7 +++----
 man/scan2.Rd       |    7 +++----
 4 files changed, 13 insertions(+), 15 deletions(-)

More information about jmuOutlier at CRAN
Permanent link

Package fslr updated to version 2.24.1 with previous version 2.23.0 dated 2019-07-18

Title: Wrapper Functions for 'FSL' ('FMRIB' Software Library) from Functional MRI of the Brain ('FMRIB')
Description: Wrapper functions that interface with 'FSL' <http://fsl.fmrib.ox.ac.uk/fsl/fslwiki/>, a powerful and commonly-used 'neuroimaging' software, using system commands. The goal is to be able to interface with 'FSL' completely in R, where you pass R objects of class 'nifti', implemented by package 'oro.nifti', and the function executes an 'FSL' command and returns an R object of class 'nifti' if desired.
Author: John Muschelli [aut, cre] (<https://orcid.org/0000-0001-6469-1750>)
Maintainer: John Muschelli <muschellij2@gmail.com>

Diff between fslr versions 2.23.0 dated 2019-07-18 and 2.24.1 dated 2019-08-05

 DESCRIPTION                |    6 -
 MD5                        |   45 +++++++-------
 NAMESPACE                  |    9 ++
 NEWS.md                    |   12 +++
 R/convert_xfm.R            |only
 R/face_removal_mask.R      |  143 ++++++++++++++++++++++++++++++++++++++++++++-
 R/fsl_bin_tab.R            |    2 
 R/fsl_dice.R               |    2 
 R/fsl_version.R            |    6 +
 R/fslhd.R                  |   61 +++++++++++++++----
 R/mridefacer.R             |only
 R/readrpi.R                |   14 ++++
 inst/doc/dti_data.html     |    4 -
 man/check_file.Rd          |    3 
 man/face_removal_mask.Rd   |    4 -
 man/fsl_bin_tab.Rd         |    2 
 man/fsl_dice.Rd            |    2 
 man/fsl_version.Rd         |    3 
 man/fslhd.parse.Rd         |    3 
 man/fslmask.Rd             |   22 +++---
 man/fslreorient2std.Rd     |   10 ++-
 man/getForms.Rd            |    3 
 man/get_quickshear_mask.Rd |only
 man/invert_xfm.Rd          |only
 man/mridefacer.Rd          |only
 man/readrpi.Rd             |   15 ++++
 26 files changed, 308 insertions(+), 63 deletions(-)

More information about fslr at CRAN
Permanent link

Package climatol updated to version 3.1.2 with previous version 3.1.1 dated 2018-05-06

Title: Climate Tools (Series Homogenization and Derived Products)
Description: Functions for the quality control, homogenization and missing data infilling of climatological series and to obtain climatological summaries and grids from the results. Also functions to draw wind-roses and Walter&Lieth climate diagrams.
Author: Jose A. Guijarro <jguijarrop@aemet.es>
Maintainer: Jose A. Guijarro <jguijarrop@aemet.es>

Diff between climatol versions 3.1.1 dated 2018-05-06 and 3.1.2 dated 2019-08-05

 DESCRIPTION   |    8 ++++----
 MD5           |    6 +++---
 NEWS          |    2 ++
 data/datalist |    2 +-
 4 files changed, 10 insertions(+), 8 deletions(-)

More information about climatol at CRAN
Permanent link

Package BatchGetSymbols updated to version 2.5.3 with previous version 2.5.2 dated 2019-04-24

Title: Downloads and Organizes Financial Data for Multiple Tickers
Description: Makes it easy to download a large number of trade data from Yahoo Finance <https://finance.yahoo.com/>.
Author: Marcelo Perlin [aut, cre]
Maintainer: Marcelo Perlin <marceloperlin@gmail.com>

Diff between BatchGetSymbols versions 2.5.2 dated 2019-04-24 and 2.5.3 dated 2019-08-05

 DESCRIPTION                            |   10 ++--
 MD5                                    |   20 ++++-----
 NEWS.md                                |    5 ++
 R/BatchGetSymbols.R                    |   33 +++++++++-------
 R/GetSP500Stocks.R                     |    7 +--
 R/Utils.R                              |    2 
 R/myGetSymbols.R                       |   62 +++++++++++++++++++-----------
 build/vignette.rds                     |binary
 inst/doc/BatchGetSymbols-vignette.html |   67 +++++++++++++++++----------------
 man/BatchGetSymbols.Rd                 |    5 +-
 man/myGetSymbols.Rd                    |    4 +
 11 files changed, 127 insertions(+), 88 deletions(-)

More information about BatchGetSymbols at CRAN
Permanent link

Package Rfast2 updated to version 0.0.4 with previous version 0.0.3 dated 2019-07-28

Title: A Collection of Efficient and Extremely Fast R Functions II
Description: A collection of fast statistical and utility functions for data analysis. Functions for regression, maximum likelihood, column-wise statistics and many more have been included. C++ has been utilized to speed up the functions.
Author: Manos Papadakis, Michail Tsagris, Stefanos Fafalios and Marios Dimitriadis.
Maintainer: Manos Papadakis <rfastofficial@gmail.com>

Diff between Rfast2 versions 0.0.3 dated 2019-07-28 and 0.0.4 dated 2019-08-05

 DESCRIPTION                 |    8 +++----
 MD5                         |   22 ++++++++++---------
 NAMESPACE                   |    2 -
 NEWS.md                     |   49 +++++++++++++++++++++++++++++++++++++-------
 R/lm.drop1.R                |only
 man/Rfast2-package.Rd       |    4 +--
 man/lm.drop1.Rd             |only
 src/Makevars                |    2 +
 src/Makevars.win            |    2 +
 src/apply_funcs_templates.h |   34 +++++++++++++++---------------
 src/mmpc2.cpp               |    2 -
 src/reg_lib2.cpp            |    1 
 src/templates.h             |    9 ++++----
 13 files changed, 88 insertions(+), 47 deletions(-)

More information about Rfast2 at CRAN
Permanent link

Package polycor updated to version 0.7-10 with previous version 0.7-9 dated 2016-08-26

Title: Polychoric and Polyserial Correlations
Description: Computes polychoric and polyserial correlations by quick "two-step" methods or ML, optionally with standard errors; tetrachoric and biserial correlations are special cases.
Author: John Fox [aut, cre]
Maintainer: John Fox <jfox@mcmaster.ca>

Diff between polycor versions 0.7-9 dated 2016-08-26 and 0.7-10 dated 2019-08-05

 DESCRIPTION           |   15 +--
 MD5                   |   15 +--
 NEWS                  |only
 R/hetcor.R            |    5 -
 R/hetcor.data.frame.R |  215 ++++++++++++++++++++++++----------------------
 R/hetcor.default.R    |    8 +
 man/hetcor.Rd         |  230 +++++++++++++++++++++++++-------------------------
 man/polychor.Rd       |  190 ++++++++++++++++++++---------------------
 man/polyserial.Rd     |  184 ++++++++++++++++++++--------------------
 9 files changed, 443 insertions(+), 419 deletions(-)

More information about polycor at CRAN
Permanent link

Package rflights updated to version 0.1.102 with previous version 0.1.0 dated 2019-05-16

Title: Query Plane Tickets using the 'Kiwi' API
Description: Query plane tickets, from several airlines, using the 'Kiwi' API (similar to 'Google Flights'). The API is documented at <https://docs.kiwi.com/>.
Author: Juan Cruz Rodriguez [aut, cre]
Maintainer: Juan Cruz Rodriguez <jcrodriguez@unc.edu.ar>

Diff between rflights versions 0.1.0 dated 2019-05-16 and 0.1.102 dated 2019-08-05

 DESCRIPTION                         |    9 ++-
 MD5                                 |   37 +++++++++++-----
 NAMESPACE                           |    1 
 R/data.R                            |only
 R/find-location.R                   |    9 ++-
 R/get-flights.R                     |   12 +++--
 README.md                           |   60 ++++++++++++++------------
 build/vignette.rds                  |binary
 data                                |only
 inst/doc/basic-usage-example.Rmd    |    3 -
 inst/doc/basic-usage-example.html   |   82 +++++++++++++++++++++---------------
 man/africa.Rd                       |only
 man/asia.Rd                         |only
 man/country_code.Rd                 |only
 man/europe.Rd                       |only
 man/north_america.Rd                |only
 man/oceania.Rd                      |only
 man/south_america.Rd                |only
 tests/testthat/test-find_location.R |    4 -
 tests/testthat/test-get_flights.R   |    6 +-
 vignettes/basic-usage-example.Rmd   |    3 -
 21 files changed, 138 insertions(+), 88 deletions(-)

More information about rflights at CRAN
Permanent link

Package NewmanOmics updated to version 1.0.4 with previous version 1.0.2 dated 2019-08-03

Title: Extending the Newman Studentized Range Statistic to Transcriptomics
Description: Extends the classical Newman studentized range statistic in various ways that can be applied to genome-scale transcriptomic or other expression data.
Author: Zachary Abrams, Greg Gershkowitz, Anoushka Joglekar, Chao Liu, Kevin R. Coombes
Maintainer: Kevin R. Coombes <krc@silicovore.com>

Diff between NewmanOmics versions 1.0.2 dated 2019-08-03 and 1.0.4 dated 2019-08-05

 DESCRIPTION                   |    8 
 MD5                           |   12 -
 inst/doc/newmanomics.html     |  388 +++++++++---------------------------------
 tests/00-pairedTest.R         |    3 
 tests/00-pairedTest.Rout.save |    6 
 tests/03-betamix.R            |    2 
 tests/03-betamix.Rout.save    |    6 
 7 files changed, 105 insertions(+), 320 deletions(-)

More information about NewmanOmics at CRAN
Permanent link

Package dbscan updated to version 1.1-4 with previous version 1.1-3 dated 2018-11-13

Title: Density Based Clustering of Applications with Noise (DBSCAN) and Related Algorithms
Description: A fast reimplementation of several density-based algorithms of the DBSCAN family for spatial data. Includes the DBSCAN (density-based spatial clustering of applications with noise) and OPTICS (ordering points to identify the clustering structure) clustering algorithms HDBSCAN (hierarchical DBSCAN) and the LOF (local outlier factor) algorithm. The implementations use the kd-tree data structure (from library ANN) for faster k-nearest neighbor search. An R interface to fast kNN and fixed-radius NN search is also provided.
Author: Michael Hahsler [aut, cre, cph], Matthew Piekenbrock [aut, cph], Sunil Arya [ctb, cph], David Mount [ctb, cph]
Maintainer: Michael Hahsler <mhahsler@lyle.smu.edu>

Diff between dbscan versions 1.1-3 dated 2018-11-13 and 1.1-4 dated 2019-08-05

 dbscan-1.1-3/dbscan/tests/testthat/Rplots.pdf     |only
 dbscan-1.1-4/dbscan/DESCRIPTION                   |   11 
 dbscan-1.1-4/dbscan/MD5                           |   52 +-
 dbscan-1.1-4/dbscan/NAMESPACE                     |   28 -
 dbscan-1.1-4/dbscan/NEWS.md                       |   11 
 dbscan-1.1-4/dbscan/R/RcppExports.R               |   56 +-
 dbscan-1.1-4/dbscan/R/dbscan.R                    |   18 
 dbscan-1.1-4/dbscan/R/frNN.R                      |    2 
 dbscan-1.1-4/dbscan/R/hdbscan.R                   |    6 
 dbscan-1.1-4/dbscan/R/kNN.R                       |    4 
 dbscan-1.1-4/dbscan/R/kNNdist.R                   |    7 
 dbscan-1.1-4/dbscan/R/optics.R                    |   16 
 dbscan-1.1-4/dbscan/R/predict.R                   |only
 dbscan-1.1-4/dbscan/build/vignette.rds            |binary
 dbscan-1.1-4/dbscan/inst/doc/dbscan.Rnw           |    8 
 dbscan-1.1-4/dbscan/inst/doc/dbscan.pdf           |binary
 dbscan-1.1-4/dbscan/inst/doc/hdbscan.R            |    2 
 dbscan-1.1-4/dbscan/inst/doc/hdbscan.Rmd          |    2 
 dbscan-1.1-4/dbscan/inst/doc/hdbscan.html         |  509 +++++++++++++---------
 dbscan-1.1-4/dbscan/man/frNN.Rd                   |    2 
 dbscan-1.1-4/dbscan/man/kNNdist.Rd                |   16 
 dbscan-1.1-4/dbscan/man/optics.Rd                 |    5 
 dbscan-1.1-4/dbscan/src/RcppExports.cpp           |  218 ++++-----
 dbscan-1.1-4/dbscan/tests/testthat/test-hdbscan.R |    2 
 dbscan-1.1-4/dbscan/tests/testthat/test-kNNdist.R |    4 
 dbscan-1.1-4/dbscan/vignettes/dbscan.Rnw          |    8 
 dbscan-1.1-4/dbscan/vignettes/dbscan.bib          |   14 
 dbscan-1.1-4/dbscan/vignettes/hdbscan.Rmd         |    2 
 28 files changed, 578 insertions(+), 425 deletions(-)

More information about dbscan at CRAN
Permanent link

New package valueEQ5D with initial version 0.4.3
Package: valueEQ5D
Type: Package
Title: Scoring the EQ-5D Descriptive System
Version: 0.4.3
Authors@R: c(person("Sheeja", "Manchira Krishnan", , "sheejamk@gmail.com", c("aut", "cre")))
Maintainer: Sheeja Manchira Krishnan <sheejamk@gmail.com>
Depends: R (>= 2.10)
Description: EQ-5D is a standard instrument (<https://euroqol.org/eq-5d-instruments/>) that measures the quality of life often used in clinical and economic evaluations of health care technologies. Both adult versions of EQ-5D (EQ-5D-3L and EQ-5D-5L) contain a descriptive system and visual analog scale. The descriptive system measures the patient's health in 5 dimensions: the 5L versions has 5 levels and 3L version has 3 levels. The descriptive system scores are usually converted to index values using country specific values sets (that incorporates the country preferences). This package allows the calculation of both descriptive system scores to the index value scores. The value sets for EQ-5D-3L are from the references mentioned in the website <https://euroqol.org/eq-5d-instruments/eq-5d-3l-about/valuation/> The value sets for EQ-5D-3L for a total of 31 countries are used for the valuation (see the user guide for a complete list of references). The value sets for EQ-5D-5L are obtained from references mentioned in the <https://euroqol.org/eq-5d-instruments/eq-5d-5l-about/valuation-standard-value-sets/> and other sources. The value sets for EQ-5D-5L for a total of 17 countries are used for the valuation (see the user guide for a complete list of references). The package can also be used to map 5L scores to 3L index values for 10 countries: Denmark, France, Germany, Japan, Netherlands, Spain, Thailand, UK, USA, and Zimbabwe. The value set and method for mapping are obtained from Van Hout et al (2012) <doi: 10.1016/j.jval.2012.02.008>.
License: GNU General Public License
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Imports: rstudioapi, testthat, utils, dplyr, stringr
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-08-05 15:07:44 UTC; smk543
Author: Sheeja Manchira Krishnan [aut, cre]
Repository: CRAN
Date/Publication: 2019-08-05 16:10:03 UTC

More information about valueEQ5D at CRAN
Permanent link

Package SCORPIUS updated to version 1.0.4 with previous version 1.0.3 dated 2019-05-27

Title: Inferring Developmental Chronologies from Single-Cell RNA Sequencing Data
Description: An accurate and easy tool for performing linear trajectory inference on single cells using single-cell RNA sequencing data. In addition, SCORPIUS provides functions for discovering the most important genes with respect to the reconstructed trajectory, as well as nice visualisation tools. Cannoodt et al. (2016) <doi:10.1101/079509>.
Author: Robrecht Cannoodt [aut, cre] (<https://orcid.org/0000-0003-3641-729X>, rcannood), Wouter Saelens [ctb] (<https://orcid.org/0000-0002-7114-6248>, zouter)
Maintainer: Robrecht Cannoodt <rcannood@gmail.com>

Diff between SCORPIUS versions 1.0.3 dated 2019-05-27 and 1.0.4 dated 2019-08-05

 DESCRIPTION                                    |   14 +-
 MD5                                            |   28 ++---
 NAMESPACE                                      |    4 
 R/dummy_proofing.R                             |   16 +-
 R/package.R                                    |    2 
 R/plotting.R                                   |  137 ++++++++++++++++++-------
 R/trajectory_inference.R                       |   30 +++--
 README.md                                      |only
 inst/NEWS                                      |   14 ++
 inst/doc/ginhoux.html                          |    4 
 inst/doc/simulated-data.html                   |    4 
 man/draw_trajectory_heatmap.Rd                 |   23 ++--
 man/draw_trajectory_plot.Rd                    |   20 +++
 man/figures/README_infer_trajectory-1.png      |binary
 man/figures/README_reduce_dimensionality-1.png |binary
 tests/testthat/test-sparse.R                   |only
 16 files changed, 203 insertions(+), 93 deletions(-)

More information about SCORPIUS at CRAN
Permanent link

Package scan updated to version 0.40 with previous version 0.20 dated 2016-10-14

Title: Single-Case Data Analyses for Single and Multiple Baseline Designs
Description: A collection of procedures for analysing, visualising, and managing single-case data. These include piecewise linear regression models, multilevel models, overlap indices (PND, PEM, PAND, PET, tauU, baseline corrected tau), and randomization tests. Data preparation functions support outlier detection, handling missing values, scaling, truncating, rank transformation, and smoothing. An exporting function help to generate html and latex tables in a publication friendly style. More details can be found at <https://jazznbass.github.io/scan-Book/>.
Author: Juergen Wilbert [aut, cre], Timo Lueke [aut]
Maintainer: Juergen Wilbert <jwilbert@uni-potsdam.de>

Diff between scan versions 0.20 dated 2016-10-14 and 0.40 dated 2019-08-05

 scan-0.20/scan/R/makeSCDF.R                     |only
 scan-0.20/scan/R/makesingleSC.R                 |only
 scan-0.20/scan/R/power.test.R                   |only
 scan-0.20/scan/man/exampledata.Rd               |only
 scan-0.20/scan/man/makeSCDF.Rd                  |only
 scan-0.20/scan/man/plotSC.Rd                    |only
 scan-0.20/scan/man/rSC.Rd                       |only
 scan-0.40/scan/DESCRIPTION                      |   35 
 scan-0.40/scan/MD5                              |  158 ++--
 scan-0.40/scan/NAMESPACE                        |   60 +
 scan-0.40/scan/R/autocorrSC.R                   |   86 +-
 scan-0.40/scan/R/corrected_tauSC.R              |only
 scan-0.40/scan/R/deprecated_estimateSC.R        |only
 scan-0.40/scan/R/deprecated_makesingleSC.R      |only
 scan-0.40/scan/R/deprecated_power.testSC.R      |only
 scan-0.40/scan/R/deprecated_rand.test.R         |only
 scan-0.40/scan/R/describeSC.R                   |  240 +++---
 scan-0.40/scan/R/estimate_design.R              |only
 scan-0.40/scan/R/export.R                       |only
 scan-0.40/scan/R/fillmissingSC.R                |  107 ++
 scan-0.40/scan/R/hplm.R                         |  227 ++++--
 scan-0.40/scan/R/inherit_roxygen_descriptions.R |only
 scan-0.40/scan/R/longSCDF.R                     |only
 scan-0.40/scan/R/mplm.R                         |only
 scan-0.40/scan/R/nap.R                          |  107 ++
 scan-0.40/scan/R/outlierSC.R                    |  256 ++++--
 scan-0.40/scan/R/overlapSC.R                    |  125 ++-
 scan-0.40/scan/R/pand.R                         |  215 +++--
 scan-0.40/scan/R/pem.R                          |  126 ++-
 scan-0.40/scan/R/pet.R                          |  106 +-
 scan-0.40/scan/R/pkg-package.R                  |only
 scan-0.40/scan/R/plm.R                          |  431 ++++-------
 scan-0.40/scan/R/plotSC.R                       |  894 ++++++++++++++++--------
 scan-0.40/scan/R/pnd.R                          |   62 +
 scan-0.40/scan/R/power_testSC.R                 |only
 scan-0.40/scan/R/print.sc.R                     |  520 ++++++++-----
 scan-0.40/scan/R/print.scdf.R                   |only
 scan-0.40/scan/R/private_SCprepare.R            |only
 scan-0.40/scan/R/private_options.R              |only
 scan-0.40/scan/R/private_regression.R           |only
 scan-0.40/scan/R/private_utilities.R            |only
 scan-0.40/scan/R/rSC.R                          |  462 ++++++++----
 scan-0.40/scan/R/randSC.R                       |  426 +++++++----
 scan-0.40/scan/R/rankSC.R                       |only
 scan-0.40/scan/R/rciSC.R                        |  162 +++-
 scan-0.40/scan/R/readSC.R                       |  131 ++-
 scan-0.40/scan/R/scaleSC.R                      |only
 scan-0.40/scan/R/scan-Data.R                    |only
 scan-0.40/scan/R/scan.R                         |   87 --
 scan-0.40/scan/R/scdf-functions.R               |only
 scan-0.40/scan/R/scdf.R                         |only
 scan-0.40/scan/R/scdf_attr.R                    |only
 scan-0.40/scan/R/shiftSC.R                      |only
 scan-0.40/scan/R/smoothSC.R                     |   94 +-
 scan-0.40/scan/R/style_plotSC.R                 |only
 scan-0.40/scan/R/summary.scdf.R                 |only
 scan-0.40/scan/R/tauUSC.R                       |  284 +++++--
 scan-0.40/scan/R/trendSC.R                      |  148 ++-
 scan-0.40/scan/R/truncateSC.R                   |   75 +-
 scan-0.40/scan/R/writeSC.R                      |   47 +
 scan-0.40/scan/data/scan-Data.RData             |binary
 scan-0.40/scan/man/Beretvas2008.Rd              |only
 scan-0.40/scan/man/Subsetting.Rd                |only
 scan-0.40/scan/man/as_scdf.Rd                   |only
 scan-0.40/scan/man/autocorrSC.Rd                |   47 -
 scan-0.40/scan/man/c.scdf.Rd                    |only
 scan-0.40/scan/man/corrected_tauSC.Rd           |only
 scan-0.40/scan/man/describeSC.Rd                |   48 -
 scan-0.40/scan/man/dot-inheritParams.Rd         |only
 scan-0.40/scan/man/estimateSC.Rd                |only
 scan-0.40/scan/man/estimate_design.Rd           |only
 scan-0.40/scan/man/export.Rd                    |only
 scan-0.40/scan/man/fillmissingSC.Rd             |   71 +
 scan-0.40/scan/man/hplm.Rd                      |  121 ++-
 scan-0.40/scan/man/longSCDF.Rd                  |   58 +
 scan-0.40/scan/man/makesingleSC.Rd              |   56 -
 scan-0.40/scan/man/mplm.Rd                      |only
 scan-0.40/scan/man/nap.Rd                       |   70 +
 scan-0.40/scan/man/outlierSC.Rd                 |   82 +-
 scan-0.40/scan/man/overlapSC.Rd                 |   69 +
 scan-0.40/scan/man/pand.Rd                      |  121 ++-
 scan-0.40/scan/man/pem.Rd                       |   85 +-
 scan-0.40/scan/man/pet.Rd                       |   79 +-
 scan-0.40/scan/man/plm.Rd                       |  130 ++-
 scan-0.40/scan/man/plot.scdf.Rd                 |only
 scan-0.40/scan/man/pnd.Rd                       |   50 -
 scan-0.40/scan/man/power.testSC.Rd              |  188 +++--
 scan-0.40/scan/man/power_testSC.Rd              |only
 scan-0.40/scan/man/print.sc.Rd                  |only
 scan-0.40/scan/man/print.scdf.Rd                |only
 scan-0.40/scan/man/rand.test.Rd                 |only
 scan-0.40/scan/man/randSC.Rd                    |  158 ++--
 scan-0.40/scan/man/random.Rd                    |only
 scan-0.40/scan/man/rankSC.Rd                    |only
 scan-0.40/scan/man/rciSC.Rd                     |   97 +-
 scan-0.40/scan/man/readSC.Rd                    |   82 +-
 scan-0.40/scan/man/scaleSC.Rd                   |only
 scan-0.40/scan/man/scan-package.Rd              |   23 
 scan-0.40/scan/man/scdf.Rd                      |only
 scan-0.40/scan/man/scdf_attr.Rd                 |only
 scan-0.40/scan/man/shiftSC.Rd                   |only
 scan-0.40/scan/man/smoothSC.Rd                  |   66 +
 scan-0.40/scan/man/style_plotSC.Rd              |only
 scan-0.40/scan/man/summary.scdf.Rd              |only
 scan-0.40/scan/man/tauUSC.Rd                    |   72 +
 scan-0.40/scan/man/trendSC.Rd                   |   70 +
 scan-0.40/scan/man/truncateSC.Rd                |   53 -
 scan-0.40/scan/man/writeSC.Rd                   |   52 -
 108 files changed, 5012 insertions(+), 2607 deletions(-)

More information about scan at CRAN
Permanent link

New package GillespieSSA2 with initial version 0.2.4
Package: GillespieSSA2
Type: Package
Title: Gillespie's Stochastic Simulation Algorithm for Impatient People
Version: 0.2.4
Authors@R: c( person( "Robrecht", "Cannoodt", email = "rcannood@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0003-3641-729X") ) )
Description: A fast, scalable, and versatile framework for simulating large systems with Gillespie's Stochastic Simulation Algorithm ('SSA'). This package is the spiritual successor to the 'GillespieSSA' package originally written by Mario Pineda-Krch. Benefits of this package include major speed improvements (>100x), easier to understand documentation, and many unit tests that try to ensure the package works as intended.
License: GPL (>= 3)
LazyData: TRUE
Depends: R (>= 3.0)
Imports: assertthat, dplyr, dynutils, Matrix, methods, purrr, Rcpp (>= 0.12.3), readr, rlang, stringr, tidyr
Suggests: ggplot2, GillespieSSA, knitr, rmarkdown, testthat (>= 2.1.0)
LinkingTo: Rcpp
VignetteBuilder: knitr
RoxygenNote: 6.1.1
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2019-08-05 14:21:48 UTC; rcannood
Author: Robrecht Cannoodt [aut, cre] (<https://orcid.org/0000-0003-3641-729X>)
Maintainer: Robrecht Cannoodt <rcannood@gmail.com>
Repository: CRAN
Date/Publication: 2019-08-05 16:20:02 UTC

More information about GillespieSSA2 at CRAN
Permanent link

Package experiment updated to version 1.2.0 with previous version 1.1-4 dated 2018-04-30

Title: R Package for Designing and Analyzing Randomized Experiments
Description: Provides various statistical methods for designing and analyzing randomized experiments. One functionality of the package is the implementation of randomized-block and matched-pair designs based on possibly multivariate pre-treatment covariates. The package also provides the tools to analyze various randomized experiments including cluster randomized experiments, two-stage randomized experiments, randomized experiments with noncompliance, and randomized experiments with missing data.
Author: Kosuke Imai [aut, cre], Zhichao Jiang [aut], Michael Li [aut]
Maintainer: Kosuke Imai <imai@harvard.edu>

Diff between experiment versions 1.1-4 dated 2018-04-30 and 1.2.0 dated 2019-08-05

 DESCRIPTION       |   20 +++++++++++---------
 MD5               |   20 +++++++++++++-------
 NAMESPACE         |    3 +++
 R/ATEnocov.R      |    2 +-
 R/AUPEC.R         |only
 R/PAPD.R          |only
 R/PAPE.R          |only
 man/ATEcluster.Rd |    4 ++--
 man/AUPEC.Rd      |only
 man/NoncompLI.Rd  |   14 +++++++-------
 man/PAPD.Rd       |only
 man/PAPE.Rd       |only
 man/randomize.Rd  |    5 +++--
 man/seguro.Rd     |    2 +-
 14 files changed, 41 insertions(+), 29 deletions(-)

More information about experiment at CRAN
Permanent link

New package arrow with initial version 0.14.1
Package: arrow
Title: Integration to 'Apache' 'Arrow'
Version: 0.14.1
Authors@R: c( person("Romain", "Fran\u00e7ois", email = "romain@rstudio.com", role = c("aut"), comment = c(ORCID = "0000-0002-2444-4226")), person("Jeroen", "Ooms", email = "jeroen@berkeley.edu", role = c("aut")), person("Neal", "Richardson", email = "neal@ursalabs.org", role = c("aut", "cre")), person("Javier", "Luraschi", email = "javier@rstudio.com", role = c("ctb")), person("Jeffrey", "Wong", email = "jeffreyw@netflix.com", role = c("ctb")), person("Apache Arrow", email = "dev@arrow.apache.org", role = c("aut", "cph")) )
Description: 'Apache' 'Arrow' <https://arrow.apache.org/> is a cross-language development platform for in-memory data. It specifies a standardized language-independent columnar memory format for flat and hierarchical data, organized for efficient analytic operations on modern hardware. This package provides an interface to the 'Arrow C++' library.
Depends: R (>= 3.1)
License: Apache License (>= 2.0)
URL: https://github.com/apache/arrow/
BugReports: https://issues.apache.org/jira/projects/ARROW/issues
Encoding: UTF-8
Language: en-US
LazyData: true
SystemRequirements: C++11
Biarch: true
LinkingTo: Rcpp (>= 1.0.1)
Imports: assertthat, bit64, fs, purrr, R6, Rcpp (>= 1.0.1), rlang, tidyselect, utils
RoxygenNote: 6.1.1
Suggests: covr, hms, lubridate, pkgdown, rmarkdown, roxygen2, testthat, tibble, vctrs
Collate: 'enums.R' 'R6.R' 'ArrayData.R' 'ChunkedArray.R' 'Column.R' 'Field.R' 'List.R' 'RecordBatch.R' 'RecordBatchReader.R' 'RecordBatchWriter.R' 'Schema.R' 'Struct.R' 'Table.R' 'array.R' 'arrow-package.R' 'arrowExports.R' 'buffer.R' 'io.R' 'compression.R' 'compute.R' 'csv.R' 'dictionary.R' 'feather.R' 'install-arrow.R' 'json.R' 'memory_pool.R' 'message.R' 'parquet.R' 'read_record_batch.R' 'read_table.R' 'reexports-bit64.R' 'reexports-tidyselect.R' 'write_arrow.R'
NeedsCompilation: yes
Packaged: 2019-08-01 15:11:24 UTC; enpiar
Author: Romain François [aut] (<https://orcid.org/0000-0002-2444-4226>), Jeroen Ooms [aut], Neal Richardson [aut, cre], Javier Luraschi [ctb], Jeffrey Wong [ctb], Apache Arrow [aut, cph]
Maintainer: Neal Richardson <neal@ursalabs.org>
Repository: CRAN
Date/Publication: 2019-08-05 16:10:10 UTC

More information about arrow at CRAN
Permanent link

New package rTorch with initial version 0.0.3
Package: rTorch
Title: R Bindings to 'PyTorch'
Version: 0.0.3
Authors@R: c( person("Alfonso R.", "Reyes", role = c("aut", "cre", "cph"), email = "alfonso.reyes@oilgainsanalytics.com"), person("Daniel", "Falbel", role = c("ctb", "cph"), email = "daniel@rstudio.com"), person("JJ", "Allaire", role = c("ctb", "cph")) )
Description: 'R' implementation and interface of the Machine Learning platform 'PyTorch' <https://pytorch.org/> developed in 'Python'. It requires a 'conda' environment with 'torch' and 'torchvision' to provide 'PyTorch' functions, methods and classes. The key object in 'PyTorch' is the tensor which is in essence a multidimensional array. These tensors are fairly flexible to perform calculations in CPUs as well as 'GPUs' to accelerate the process.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.1)
Imports: logging, reticulate, jsonlite (>= 1.2), utils, methods, R6, rstudioapi (>= 0.7), data.table
Suggests: testthat, knitr, rmarkdown
SystemRequirements: PyTorch (https://pytorch.org/)
RoxygenNote: 6.1.1
URL: https://github.com/f0nzie/rTorch
NeedsCompilation: no
Packaged: 2019-08-02 18:18:38 UTC; msfz751
Author: Alfonso R. Reyes [aut, cre, cph], Daniel Falbel [ctb, cph], JJ Allaire [ctb, cph]
Maintainer: Alfonso R. Reyes <alfonso.reyes@oilgainsanalytics.com>
Repository: CRAN
Date/Publication: 2019-08-05 15:40:03 UTC

More information about rTorch at CRAN
Permanent link

Package REndo updated to version 2.3.0 with previous version 2.2.1 dated 2019-06-05

Title: Fitting Linear Models with Endogenous Regressors using Latent Instrumental Variables
Description: Fits linear models with endogenous regressor using latent instrumental variable approaches. The methods included in the package are Lewbel's (1997) <doi:10.2307/2171884> higher moments approach as well as Lewbel's (2012) <doi:10.1080/07350015.2012.643126> heteroscedasticity approach, Park and Gupta's (2012) <doi:10.1287/mksc.1120.0718> joint estimation method that uses Gaussian copula and Kim and Frees's (2007) <doi:10.1007/s11336-007-9008-1> multilevel generalized method of moment approach that deals with endogeneity in a multilevel setting. These are statistical techniques to address the endogeneity problem where no external instrumental variables are needed. Note that with version 2.0.0 sweeping changes were introduced which greatly improve functionality and usability but break backwards compatibility.
Author: Raluca Gui [cre, aut], Markus Meierer [aut], Rene Algesheimer [aut], Patrik Schilter [aut]
Maintainer: Raluca Gui <raluca.gui@business.uzh.ch>

Diff between REndo versions 2.2.1 dated 2019-06-05 and 2.3.0 dated 2019-08-05

 DESCRIPTION                                         |    8 -
 MD5                                                 |   68 ++++++-----
 NAMESPACE                                           |    5 
 NEWS.md                                             |   13 ++
 R/data.R                                            |   51 ++++----
 R/f_copulacorrection_interface.R                    |    2 
 R/f_copulacorrection_linearmodel.R                  |   22 +++
 R/f_latentIV.R                                      |    2 
 R/f_multilevelIV.R                                  |    2 
 R/f_s3_multilevel.R                                 |   60 ++++++++++
 R/f_s3_rendocopulacorrection.R                      |   54 +++++++++
 R/f_s3_rendoivreg.R                                 |   46 +++++++
 R/f_s3_rendolatentIV.R                              |   46 +++++++
 inst/doc/REndo-introduction.pdf                     |binary
 man/copulaCorrection.Rd                             |    2 
 man/dataCopCont.Rd                                  |    4 
 man/dataCopCont2.Rd                                 |    4 
 man/dataCopDis.Rd                                   |    4 
 man/dataCopDis2.Rd                                  |    4 
 man/dataCopDisCont.Rd                               |    4 
 man/dataHetIV.Rd                                    |    4 
 man/dataHigherMoments.Rd                            |   14 +-
 man/dataLatentIV.Rd                                 |    4 
 man/dataMultilevelIV.Rd                             |    2 
 man/latentIV.Rd                                     |    2 
 man/multilevelIV.Rd                                 |    2 
 man/predict.rendo.copula.correction.Rd              |only
 man/predict.rendo.ivreg.Rd                          |only
 man/predict.rendo.latent.IV.Rd                      |only
 man/predict.rendo.multilevel.Rd                     |only
 man/summary.rendo.multilevel.Rd                     |    2 
 tests/testthat/test_correctness_copulacorrections.R |  118 ++++++++++++++++++++
 tests/testthat/test_correctness_heterrors.R         |   51 ++++++++
 tests/testthat/test_correctness_highermoments.R     |   51 ++++++++
 tests/testthat/test_correctness_latentIV.R          |   34 +++++
 tests/testthat/test_correctness_multilevel.R        |   61 ++++++++++
 vignettes/REndo-introduction.Rmd                    |    4 
 37 files changed, 655 insertions(+), 95 deletions(-)

More information about REndo at CRAN
Permanent link

New package projmgr with initial version 0.1.0
Package: projmgr
Title: Task Tracking and Project Management with GitHub
Version: 0.1.0
Authors@R: person(given = "Emily", family = "Riederer", role = c("cre", "aut"), email = "emilyriederer@gmail.com")
Description: Provides programmatic access to 'GitHub' API with a focus on project management. Key functionality includes setting up issues and milestones from R objects or 'YAML' configurations, querying outstanding or completed tasks, and generating progress updates in tables, charts, and RMarkdown reports. Useful for those using 'GitHub' in personal, professional, or academic settings with an emphasis on streamlining the workflow of data analysis projects.
License: MIT + file LICENSE
URL: https://github.com/emilyriederer/projmgr
BugReports: https://github.com/emilyriederer/projmgr/issues
Depends: R (>= 3.1.2)
Imports: gh, magrittr
Suggests: clipr, curl, dplyr, ggplot2, knitr, purrr, reprex, rmarkdown, testthat, tidyr, yaml, htmltools, httr, covr
Encoding: UTF-8
Language: en-US
LazyData: true
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-07-20 19:12:56 UTC; emily
Author: Emily Riederer [cre, aut]
Maintainer: Emily Riederer <emilyriederer@gmail.com>
Repository: CRAN
Date/Publication: 2019-08-05 15:40:06 UTC

More information about projmgr at CRAN
Permanent link

Package mvLSW updated to version 1.2.3 with previous version 1.2.2 dated 2018-10-24

Title: Multivariate, Locally Stationary Wavelet Process Estimation
Description: Tools for analysing multivariate time series with wavelets. This includes: simulation of a multivariate locally stationary wavelet (mvLSW) process from a multivariate evolutionary wavelet spectrum (mvEWS); estimation of the mvEWS, local coherence and local partial coherence. See Park, Eckley and Ombao (2014) <doi:10.1109/TSP.2014.2343937> for details.
Author: Simon Taylor [aut, cre], Tim Park [aut], Idris Eckley [ths], Rebecca Killick [ctb]
Maintainer: Simon Taylor <s.taylor2@lancaster.ac.uk>

Diff between mvLSW versions 1.2.2 dated 2018-10-24 and 1.2.3 dated 2019-08-05

 DESCRIPTION              |    8 -
 MD5                      |   30 ++--
 NEWS                     |   42 +++---
 R/mvLSW.R                |    4 
 inst/CITATION            |   56 ++++++---
 man/ApxCI.Rd             |    5 
 man/AutocorrIP.Rd        |    5 
 man/Spectrum2Transfer.Rd |  157 +++++++++++++-------------
 man/as.mvLSW.Rd          |  240 ++++++++++++++++++++-------------------
 man/coherence.Rd         |  173 ++++++++++++++--------------
 man/mvEWS.rd             |  283 +++++++++++++++++++++++------------------------
 man/mvLSW.Rd             |    9 +
 man/plot.mvLSW.Rd        |  245 ++++++++++++++++++++--------------------
 man/rmvLSW.Rd            |  210 +++++++++++++++++-----------------
 man/summary.mvLSW.Rd     |  116 ++++++++++---------
 man/varEWS.Rd            |  239 ++++++++++++++++++++-------------------
 16 files changed, 956 insertions(+), 866 deletions(-)

More information about mvLSW at CRAN
Permanent link

New package mlr3learners with initial version 0.1.1
Package: mlr3learners
Title: Recommended Learners for 'mlr3'
Version: 0.1.1
Authors@R: c(person(given = "Michel", family = "Lang", role = c("cre", "aut"), email = "michellang@gmail.com", comment = c(ORCID = "0000-0001-9754-0393")), person(given = "Quay", family = "Au", role = "aut", email = "quayau@gmail.com", comment = c(ORCID = "0000-0002-5252-8902")), person(given = "Stefan", family = "Coors", role = "aut", email = "mail@stefancoors.de", comment = c(ORCID = "0000-0002-7465-2146")))
Description: Recommended Learners for 'mlr3'. Extends 'mlr3' with interfaces to essential machine learning packages on CRAN. This includes, but is not limited to: (penalized) linear and logistic regression, linear and quadratic discriminant analysis, k-nearest neighbors, naive Bayes, support vector machines, and gradient boosting.
License: LGPL-3
URL: https://mlr3learners.mlr-org.com
BugReports: https://github.com/mlr-org/mlr3learners/issues
Depends: R (>= 3.1.0)
Imports: data.table, mlr3 (>= 0.1.1), mlr3misc, paradox, R6
Suggests: checkmate, DiceKriging, e1071, glmnet, kknn, lgr, MASS, ranger, testthat, withr, xgboost
Encoding: UTF-8
NeedsCompilation: no
RoxygenNote: 6.1.1
Packaged: 2019-07-29 07:57:47 UTC; lang
Author: Michel Lang [cre, aut] (<https://orcid.org/0000-0001-9754-0393>), Quay Au [aut] (<https://orcid.org/0000-0002-5252-8902>), Stefan Coors [aut] (<https://orcid.org/0000-0002-7465-2146>)
Maintainer: Michel Lang <michellang@gmail.com>
Repository: CRAN
Date/Publication: 2019-08-05 15:30:02 UTC

More information about mlr3learners at CRAN
Permanent link

Package mlmm.gwas updated to version 1.0.6 with previous version 1.0.5 dated 2019-05-22

Title: Pipeline for GWAS Using MLMM
Description: Pipeline for Genome-Wide Association Study using Multi-Locus Mixed Model from Segura V, Vilhjálmsson BJ et al. (2012) <doi:10.1038/ng.2314>. The pipeline include detection of associated SNPs with MLMM, model selection by lowest eBIC and p-value threshold, estimation of the effects of the SNPs in the selected model and graphical functions.
Author: Fanny Bonnafous [aut], Alexandra Duhnen [aut], Louise Gody [aut], Olivier Guillaume[aut, cre], Brigitte Mangin [aut], Prune Pegot-Espagnet [aut], Vincent Segura [aut], Bjarni J. Vilhjalmsson [aut], Clement Mabire [aut], Timothee Flutre [aut]
Maintainer: Clement Mabire <clement.mabire@inra.fr>

Diff between mlmm.gwas versions 1.0.5 dated 2019-05-22 and 1.0.6 dated 2019-08-05

 DESCRIPTION                      |   10 
 MD5                              |   22 -
 NEWS                             |   13 
 R/eBIC_allmodels_withlmekin_ML.r |  594 +++++++++++++++++++--------------------
 R/fromeBICtoEstimation.r         |  197 ++++++------
 R/mlmm_allmodels_withsommer.r    |    2 
 R/run_entire_gwas_pipeline.R     |    6 
 R/threshold_allmodels.r          |    2 
 build/vignette.rds               |binary
 inst/doc/gwas-manual.html        |  152 ++++-----
 man/eBIC_allmodels.Rd            |    4 
 man/run_entire_gwas_pipeline.Rd  |    4 
 12 files changed, 505 insertions(+), 501 deletions(-)

More information about mlmm.gwas at CRAN
Permanent link

New package kStatistics with initial version 1.0
Package: kStatistics
Type: Package
Title: Unbiased Estimators for Cumulant Products
Version: 1.0
Date: 2019-07-20
Author: Elvira Di Nardo <elvira.dinardo@unito.it>, Giuseppe Guarino <giuseppe.guarino@rete.basilicata.it>
Maintainer: Giuseppe Guarino <giuseppe.guarino@rete.basilicata.it>
Description: Methods and tools for estimate (joint) cumulants of a given population distribution using (multivariate) k-statistics and (multivariate) polykays,symmetric unbiased estimators with minimum variance. For more details see Di Nardo E., Guarino G., Senato D. (2009) <arXiv:0807.5008>.
License: GPL
NeedsCompilation: no
Packaged: 2019-08-05 14:24:55 UTC; giuseppe.guarino
Repository: CRAN
Date/Publication: 2019-08-05 15:10:02 UTC

More information about kStatistics at CRAN
Permanent link

New package importinegi with initial version 1.0.0
Package: importinegi
Title: Download and Manage Open Data from INEGI
Version: 1.0.0
Authors@R: person("Cesar", "Renteria", email = "crenteria@albany.edu", role = c("aut", "cre"))
Author: Cesar Renteria [aut, cre]
Maintainer: Cesar Renteria <crenteria@albany.edu>
Description: Download and manage data sets of statistical projects and geographic data created by Instituto Nacional de Estadistica y Geografia (INEGI). See <https://www.inegi.org.mx/>.
BugReports: https://github.com/crenteriam/importinegi/issues
Depends: R (>= 3.3.0)
License: CC0
Encoding: UTF-8
LazyData: true
Imports: foreign, dplyr, haven, rgdal, data.table
Suggests: tidyverse, knitr, rmarkdown, testthat (>= 2.1.0)
Language: es
RoxygenNote: 6.1.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-08-04 17:29:17 UTC; rente
Repository: CRAN
Date/Publication: 2019-08-05 15:40:10 UTC

More information about importinegi at CRAN
Permanent link

Package groupdata2 updated to version 1.1.2 with previous version 1.1.1 dated 2019-07-05

Title: Creating Groups from Data
Description: Methods for dividing data into groups. Create balanced partitions and cross-validation folds. Perform time series windowing and general grouping and splitting of data. Balance existing groups with up- and downsampling.
Author: Ludvig Renbo Olsen [aut, cre]
Maintainer: Ludvig Renbo Olsen <r-pkgs@ludvigolsen.dk>

Diff between groupdata2 versions 1.1.1 dated 2019-07-05 and 1.1.2 dated 2019-08-05

 DESCRIPTION                                         |    8 -
 MD5                                                 |   76 +++++++-------
 NAMESPACE                                           |    2 
 NEWS.md                                             |   11 ++
 R/all_groups_identical.R                            |only
 R/create_num_col_groups.R                           |    4 
 R/differs_from_previous.R                           |    1 
 R/find_missing_starts.R                             |   16 ++
 R/fold.R                                            |   48 +++++---
 R/helpers.R                                         |   80 +++++++++-----
 R/primes_remainder.R                                |    1 
 R/sampling.R                                        |   64 ++++++++---
 R/sampling_methods.R                                |   48 +++++---
 README.md                                           |   75 ++++++++------
 inst/doc/automatic_groups_with_groupdata2.html      |   10 +
 inst/doc/cross-validation_with_groupdata2.html      |   10 +
 inst/doc/description_of_groupdata2.html             |   10 +
 inst/doc/introduction_to_groupdata2.html            |    8 +
 inst/doc/time_series_with_groupdata2.html           |   10 +
 man/all_groups_identical.Rd                         |only
 man/fold.Rd                                         |    6 -
 man/group.Rd                                        |    6 -
 man/group_factor.Rd                                 |    6 -
 man/partition.Rd                                    |    6 -
 man/splt.Rd                                         |    6 -
 tests/testthat/test_all_groups_identical.R          |only
 tests/testthat/test_balance.R                       |   66 ++++++++----
 tests/testthat/test_create_n_primes.R               |    2 
 tests/testthat/test_differs_from_previous.R         |   16 ++
 tests/testthat/test_find_missing_starts.R           |only
 tests/testthat/test_find_starts.R                   |    6 -
 tests/testthat/test_fold.R                          |  107 ++++++++++++++------
 tests/testthat/test_group.R                         |   14 +-
 tests/testthat/test_grouping_factor.R               |   49 +++++----
 tests/testthat/test_numerically_balanced_grouping.R |   69 +++++-------
 tests/testthat/test_partition.R                     |   54 +++++-----
 tests/testthat/test_primes_remainder.R              |    1 
 tests/testthat/test_rearrange.R                     |   71 +++++++++++++
 tests/testthat/test_sampling_methods.R              |   46 ++++----
 tests/testthat/test_splt.R                          |    9 +
 tests/testthat/test_utilities.R                     |    6 -
 41 files changed, 669 insertions(+), 359 deletions(-)

More information about groupdata2 at CRAN
Permanent link

New package golem with initial version 0.1
Package: golem
Title: A Framework for Robust Shiny Applications
Version: 0.1
Authors@R: c(person(given = "Vincent", family = "Guyader", role = c("cre", "aut"), email = "vincent@thinkr.fr", comment = c(ORCID = "0000-0003-0671-9270")), person(given = "Colin", family = "Fay", role = "aut", email = "contact@colinfay.me", comment = c(ORCID = "0000-0001-7343-1846")), person(given = "Sébastien", family = "Rochette", role = "aut", email = "sebastien@thinkr.fr", comment = c(ORCID = "0000-0002-1565-9313")), person(given = "Cervan", family = "Girard", role = "aut", email = "cervan@thinkr.fr", comment = c(ORCID = "0000-0002-4816-4624")), person(given = "ThinkR", role = "cph"))
Description: An opinionated framework for building a production-ready 'Shiny' application. This package contains a series of tools for building a robust 'Shiny' application from start to finish.
License: MIT + file LICENSE
URL: https://github.com/ThinkR-open/golem
BugReports: https://github.com/ThinkR-open/golem/issues
Depends: R (>= 3.0)
Imports: attempt, cli, crayon, desc, dockerfiler, DT, glue, htmltools, pkgload, processx, remotes, rlang, roxygen2, rsconnect, rstudioapi, shiny, stats, stringr, testthat, tools, usethis, utils, yesno
Suggests: covr, knitr, pkgdown, purrr, rcmdcheck, rmarkdown, withr
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-07-19 09:00:08 UTC; Vincent
Author: Vincent Guyader [cre, aut] (<https://orcid.org/0000-0003-0671-9270>), Colin Fay [aut] (<https://orcid.org/0000-0001-7343-1846>), Sébastien Rochette [aut] (<https://orcid.org/0000-0002-1565-9313>), Cervan Girard [aut] (<https://orcid.org/0000-0002-4816-4624>), ThinkR [cph]
Maintainer: Vincent Guyader <vincent@thinkr.fr>
Repository: CRAN
Date/Publication: 2019-08-05 15:50:02 UTC

More information about golem at CRAN
Permanent link

Package stuart updated to version 0.8.0 with previous version 0.7.3 dated 2018-09-17

Title: Subtests Using Algorithmic Rummaging Techniques
Description: Construct subtests from a pool of items by using ant-colony-optimization, genetic algorithms, brute force, or random sampling. Schultze (2017) <doi:10.17169/refubium-622>.
Author: Martin Schultze [aut, cre]
Maintainer: Martin Schultze <schultze@psych.uni-frankfurt.de>

Diff between stuart versions 0.7.3 dated 2018-09-17 and 0.8.0 dated 2019-08-05

 DESCRIPTION                   |   14 ++--
 MD5                           |   58 ++++++++--------
 R/bf.cycle.R                  |    3 
 R/bruteforce.R                |    2 
 R/combinations.R              |    1 
 R/crossvalidate.Mplus.R       |  145 ++++++++++++++++++++++--------------------
 R/crossvalidate.R             |   39 ++---------
 R/crossvalidate.lavaan.R      |  123 ++++++++++++++++++++++++-----------
 R/data.prep.R                 |    2 
 R/fitness.R                   |   15 ++++
 R/invariance.implementation.R |   69 ++++++++++++++++++-
 R/mmas.R                      |    2 
 R/run.Mplus.R                 |  124 +++++++++++++++++++++--------------
 R/run.lavaan.R                |   63 ++++++++++++++----
 R/sanitycheck.R               |   16 +++-
 R/stuart.bruteforce.R         |   10 ++
 R/stuart.gene.R               |   10 ++
 R/stuart.mmas.R               |   15 ++++
 R/stuart.randomsamples.R      |   10 ++
 man/bruteforce.Rd             |   16 ++--
 man/combinations.Rd           |    4 -
 man/crossvalidate.Rd          |   23 ++----
 man/fairplayer.Rd             |    5 -
 man/gene.Rd                   |   22 ++----
 man/heuristics.Rd             |    4 -
 man/holdout.Rd                |    4 -
 man/mmas.Rd                   |   25 +++----
 man/randomsamples.Rd          |   17 ++--
 man/stuart-package.Rd         |    2 
 man/sups.Rd                   |    5 -
 30 files changed, 518 insertions(+), 330 deletions(-)

More information about stuart at CRAN
Permanent link

New package sccr with initial version 1.0
Package: sccr
Type: Package
Title: The Self-Consistent, Competing Risks (SC-CR) Algorithms
Version: 1.0
Date: 2019-07-23
Author: Peter Adamek, Alicja Wolny-Dominiak
Maintainer: Alicja Wolny-Dominiak<woali@ue.katowice.pl>
Description: An algorithm for producing fully non-parametric and self-consistent estimators of the cause-specific failure probabilities in the presence of interval-censoring data. See Adamic P., Caron S. (2014) <doi:10.1080/03461238.2012.693457>, Adamic P., Dixon S., Gillis D. (2010) <doi:10.1080/03461230903134780>, Turnbull B. (1976) <doi:10.1111/j.2517-6161.1976.tb01597.x>.
Imports: dplyr
License: GPL-2
NeedsCompilation: no
Packaged: 2019-08-05 11:06:50 UTC; Woali
Repository: CRAN
Date/Publication: 2019-08-05 14:50:02 UTC

More information about sccr at CRAN
Permanent link

Package mets updated to version 1.2.6 with previous version 1.2.5 dated 2018-11-20

Title: Analysis of Multivariate Event Times
Description: Implementation of various statistical models for multivariate event history data <doi:10.1007/s10985-013-9244-x>. Including multivariate cumulative incidence models <doi:10.1002/sim.6016>, and bivariate random effects probit models (Liability models) <doi:10.1016/j.csda.2015.01.014>. Also contains two-stage binomial modelling that can do pairwise odds-ratio dependence modelling based marginal logistic regression models. This is an alternative to the alternating logistic regression approach (ALR).
Author: Klaus K. Holst and Thomas Scheike
Maintainer: Klaus K. Holst <klaus@holst.it>

Diff between mets versions 1.2.5 dated 2018-11-20 and 1.2.6 dated 2019-08-05

 mets-1.2.5/mets/data/base1cumhaz.txt.gz                          |only
 mets-1.2.5/mets/data/base4cumhaz.txt.gz                          |only
 mets-1.2.5/mets/data/drcumhaz.txt.gz                             |only
 mets-1.2.5/mets/data/migr.txt.gz                                 |only
 mets-1.2.5/mets/data/multcif.txt.gz                              |only
 mets-1.2.5/mets/data/np.txt.gz                                   |only
 mets-1.2.5/mets/data/twinbmi.txt.gz                              |only
 mets-1.2.5/mets/data/twinstut.txt.gz                             |only
 mets-1.2.5/mets/inst/doc/index.html                              |only
 mets-1.2.5/mets/src/mvt.f                                        |only
 mets-1.2.5/mets/src/tvpackAux.c                                  |only
 mets-1.2.6/mets/DESCRIPTION                                      |   16 
 mets-1.2.6/mets/MD5                                              |  182 
 mets-1.2.6/mets/NAMESPACE                                        |   19 
 mets-1.2.6/mets/NEWS                                             |   14 
 mets-1.2.6/mets/R/cifreg.R                                       |only
 mets-1.2.6/mets/R/discrete-survival-haplo.r                      |only
 mets-1.2.6/mets/R/dreg.R                                         |   14 
 mets-1.2.6/mets/R/dsort.R                                        |   25 
 mets-1.2.6/mets/R/gof-phreg.R                                    |   74 
 mets-1.2.6/mets/R/mets-package.R                                 |   29 
 mets-1.2.6/mets/R/mutinomialreg.R                                |only
 mets-1.2.6/mets/R/pch.R                                          |only
 mets-1.2.6/mets/R/phreg.R                                        |  226 
 mets-1.2.6/mets/R/recurrent.marginal.R                           |  631 +
 mets-1.2.6/mets/R/sim.clayton.oakes.R                            |   31 
 mets-1.2.6/mets/R/twostage.R                                     | 1858 ++---
 mets-1.2.6/mets/R/wild-phreg.R                                   |only
 mets-1.2.6/mets/build/vignette.rds                               |binary
 mets-1.2.6/mets/data/base1cumhaz.txt.xz                          |only
 mets-1.2.6/mets/data/base4cumhaz.txt.xz                          |only
 mets-1.2.6/mets/data/datalist                                    |    3 
 mets-1.2.6/mets/data/dermalridges.rda                            |binary
 mets-1.2.6/mets/data/dermalridgesMZ.rda                          |binary
 mets-1.2.6/mets/data/drcumhaz.txt.xz                             |only
 mets-1.2.6/mets/data/hHaplos.rda                                 |only
 mets-1.2.6/mets/data/hapfreqs.rda                                |only
 mets-1.2.6/mets/data/haploX.rda                                  |only
 mets-1.2.6/mets/data/mena.rda                                    |binary
 mets-1.2.6/mets/data/migr.txt.xz                                 |only
 mets-1.2.6/mets/data/multcif.txt.xz                              |only
 mets-1.2.6/mets/data/np.txt.xz                                   |only
 mets-1.2.6/mets/data/prt.rda                                     |binary
 mets-1.2.6/mets/data/twinbmi.txt.xz                              |only
 mets-1.2.6/mets/data/twinstut.txt.xz                             |only
 mets-1.2.6/mets/inst/doc/basic-dutils.pdf                        |binary
 mets-1.2.6/mets/inst/doc/binomial-case-control-ascertainment.pdf |binary
 mets-1.2.6/mets/inst/doc/binomial-family.pdf                     |binary
 mets-1.2.6/mets/inst/doc/binomial-twin.pdf                       |binary
 mets-1.2.6/mets/inst/doc/competing.pdf                           |binary
 mets-1.2.6/mets/inst/doc/marginal-cox.pdf                        |binary
 mets-1.2.6/mets/inst/doc/quantitative-twin.pdf                   |binary
 mets-1.2.6/mets/inst/doc/recurrent-events.pdf                    |binary
 mets-1.2.6/mets/inst/doc/twostage-survival-case-control.pdf      |binary
 mets-1.2.6/mets/inst/doc/twostage-survival.pdf                   |binary
 mets-1.2.6/mets/inst/include/mets_RcppExports.h                  |   42 
 mets-1.2.6/mets/inst/misc/pairwise-twostage.r                    |   33 
 mets-1.2.6/mets/man/Bootphreg.Rd                                 |only
 mets-1.2.6/mets/man/basehazplot.phreg.Rd                         |    7 
 mets-1.2.6/mets/man/cifreg.Rd                                    |only
 mets-1.2.6/mets/man/count.history.Rd                             |    2 
 mets-1.2.6/mets/man/dreg.Rd                                      |    5 
 mets-1.2.6/mets/man/dsort.Rd                                     |    1 
 mets-1.2.6/mets/man/ghaplos.Rd                                   |only
 mets-1.2.6/mets/man/gof.phreg.Rd                                 |    2 
 mets-1.2.6/mets/man/gofG.phreg.Rd                                |    2 
 mets-1.2.6/mets/man/gofM.phreg.Rd                                |   23 
 mets-1.2.6/mets/man/gofZ.phreg.Rd                                |only
 mets-1.2.6/mets/man/hapfreqs.Rd                                  |only
 mets-1.2.6/mets/man/haplo.surv.discrete.Rd                       |only
 mets-1.2.6/mets/man/haploX.Rd                                    |only
 mets-1.2.6/mets/man/logitSurv.Rd                                 |    2 
 mets-1.2.6/mets/man/mlogit.Rd                                    |only
 mets-1.2.6/mets/man/predict.phreg.Rd                             |    1 
 mets-1.2.6/mets/man/rpch.Rd                                      |only
 mets-1.2.6/mets/man/simClaytonOakes.Rd                           |    1 
 mets-1.2.6/mets/man/simMultistate.Rd                             |only
 mets-1.2.6/mets/man/simRecurrent.Rd                              |    1 
 mets-1.2.6/mets/man/simRecurrentII.Rd                            |    1 
 mets-1.2.6/mets/man/simRecurrentTS.Rd                            |only
 mets-1.2.6/mets/man/survival.twostage.Rd                         |   22 
 mets-1.2.6/mets/src/RcppExports.cpp                              |   76 
 mets-1.2.6/mets/src/aalenfrailty.cpp                             |    2 
 mets-1.2.6/mets/src/binomial-twostage.cpp                        |    2 
 mets-1.2.6/mets/src/fastcox.cpp                                  | 3216 +++++-----
 mets-1.2.6/mets/src/init.c                                       |   12 
 mets-1.2.6/mets/src/mvn.cpp                                      |   64 
 mets-1.2.6/mets/src/mvn.h                                        |   22 
 mets-1.2.6/mets/src/pch.cpp                                      |only
 mets-1.2.6/mets/src/randomF77.c                                  |   11 
 mets-1.2.6/mets/src/survival-twostage.cpp                        |   32 
 mets-1.2.6/mets/vignettes/basic-dutils.org                       |   26 
 mets-1.2.6/mets/vignettes/competing.org                          |  607 -
 mets-1.2.6/mets/vignettes/index.html                             |only
 mets-1.2.6/mets/vignettes/marginal-cox.org                       |  160 
 mets-1.2.6/mets/vignettes/mets.bib                               |  265 
 mets-1.2.6/mets/vignettes/quantitative-twin.org                  |   42 
 mets-1.2.6/mets/vignettes/rec1.jpg                               |binary
 mets-1.2.6/mets/vignettes/rec2.jpg                               |binary
 mets-1.2.6/mets/vignettes/rec3.jpg                               |binary
 mets-1.2.6/mets/vignettes/rec4.jpg                               |binary
 mets-1.2.6/mets/vignettes/rec4Bi.jpg                             |binary
 mets-1.2.6/mets/vignettes/rec4MV.jpg                             |binary
 mets-1.2.6/mets/vignettes/rec5.jpg                               |binary
 mets-1.2.6/mets/vignettes/rec6.jpg                               |binary
 mets-1.2.6/mets/vignettes/rec7.jpg                               |binary
 mets-1.2.6/mets/vignettes/recurrent-events.org                   |  429 -
 mets-1.2.6/mets/vignettes/robcox1.jpg                            |binary
 mets-1.2.6/mets/vignettes/robcox2.jpg                            |binary
 mets-1.2.6/mets/vignettes/robgofcox1.jpg                         |binary
 mets-1.2.6/mets/vignettes/scatter1.jpg                           |binary
 mets-1.2.6/mets/vignettes/scatter2.jpg                           |binary
 112 files changed, 4428 insertions(+), 3805 deletions(-)

More information about mets at CRAN
Permanent link

New package LPRelevance with initial version 1.0
Package: LPRelevance
Type: Package
Title: Relevance-Integrated Statistical Inference Engine
Version: 1.0
Date: 2019-07-08
Author: Subhadeep Mukhopadhyay, Kaijun Wang
Maintainer: Kaijun Wang <kaijunwang.19@gmail.com>
Description: A framework of methods to perform customized inference at individual level by taking contextual covariates into account. Three main functions are provided in this package: (i) LASER(): it generates specially-designed artificial relevant samples for a given case; (ii) g2l.proc(): computes customized fdr(z|x); and (iii) rEB.proc(): performs empirical Bayes inference based on LASERs. The details can be found in Mukhopadhyay, S., and Wang, K (2019, Technical Report).
Imports: leaps,locfdr,Bolstad2,reshape2,ggplot2,polynom
Depends: R (>= 3.5.0), stats, BayesGOF
License: GPL-2
NeedsCompilation: no
Packaged: 2019-08-04 03:44:15 UTC; AquinasUnit
Repository: CRAN
Date/Publication: 2019-08-05 14:10:09 UTC

More information about LPRelevance at CRAN
Permanent link

Package JFE updated to version 2.1.3 with previous version 2.1.1 dated 2019-04-09

Title: Tools and GUI for Analyzing Data of Just Finance and Econometrics
Description: Support the analysis of global assets selection and portfolio backtesting, we also enhance the computation of some performance ratios of 'PerformanceAnalytics'.
Author: Ho Tsung-wu
Maintainer: Ho Tsung-wu <tsungwu@ntnu.edu.tw>

Diff between JFE versions 2.1.1 dated 2019-04-09 and 2.1.3 dated 2019-08-05

 DESCRIPTION                 |   14 +++++++-------
 MD5                         |   13 ++++++++-----
 R/05PortoflioMore.R         |only
 R/PerformanceIndex.R        |    4 ++--
 man/ActivePremium.Rd        |   10 +++++-----
 man/JFE.Rd                  |    2 +-
 man/data-sets.Rd            |    8 ++------
 man/riskOptimalPortfolio.Rd |only
 man/riskParityPortfolio.Rd  |only
 9 files changed, 25 insertions(+), 26 deletions(-)

More information about JFE at CRAN
Permanent link

New package kofdata with initial version 0.1.3.3
Package: kofdata
Type: Package
Version: 0.1.3.3
Title: Get Data from the 'KOF Datenservice' API
Description: Read Swiss time series data from the 'KOF Datenservice' API, <https://datenservice.kof.ethz.ch>. The API provides macroeconomic survey data, business cycle and further macro economic time series about Switzerland. The package itself is a set of wrappers around the 'KOF Datenservice' API. The 'kofdata' package is able to consume public information as well as data that requires an API token.
Authors@R: c( person("Matthias", "Bannert", , "bannert@kof.ethz.ch", c("aut", "cre")), person("Severin", "Thoeni", , "thoenis@kof.ethz.ch", "aut"))
Depends: R (>= 3.0.0), jsonlite (>= 1.1), httr
Imports: xts, zoo
URL: https://github.com/KOF-ch/kofdata
BugReports: https://github.com/KOF-ch/kofdata/issues
Date: 2019-08-05
License: GPL-2
LazyData: true
RoxygenNote: 6.0.1
Suggests: testthat
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2019-08-05 12:51:31 UTC; mbannert
Author: Matthias Bannert [aut, cre], Severin Thoeni [aut]
Maintainer: Matthias Bannert <bannert@kof.ethz.ch>
Repository: CRAN
Date/Publication: 2019-08-05 14:40:02 UTC

More information about kofdata at CRAN
Permanent link

Package httr updated to version 1.4.1 with previous version 1.4.0 dated 2018-12-11

Title: Tools for Working with URLs and HTTP
Description: Useful tools for working with HTTP organised by HTTP verbs (GET(), POST(), etc). Configuration functions make it easy to control additional request components (authenticate(), add_headers() and so on).
Author: Hadley Wickham [aut, cre], RStudio [cph]
Maintainer: Hadley Wickham <hadley@rstudio.com>

Diff between httr versions 1.4.0 dated 2018-12-11 and 1.4.1 dated 2019-08-05

 DESCRIPTION                          |   12 
 MD5                                  |   30 -
 NEWS.md                              |   18 +
 R/http-post.r                        |   10 
 R/request.R                          |    3 
 R/response-status.r                  |    5 
 R/retry.R                            |    6 
 build/vignette.rds                   |binary
 demo/oauth2-linkedin.r               |    6 
 inst/doc/api-packages.html           |  581 ++++++++++++++++++-----------------
 inst/doc/quickstart.html             |  526 +++++++++++++++++--------------
 inst/doc/secrets.html                |  173 ++++++----
 man/POST.Rd                          |    8 
 man/httr-package.Rd                  |    1 
 tests/testthat/test-http-condition.R |    4 
 tests/testthat/test-retry.R          |    7 
 16 files changed, 769 insertions(+), 621 deletions(-)

More information about httr at CRAN
Permanent link

Package gMOIP updated to version 1.3.0 with previous version 1.1.0 dated 2017-02-20

Title: '2D and 3D plots of linear mathematical programming models'
Description: Make 2D and 3D plots of the polytope of a LP, ILP or MILP problem, including integer points and iso profit curve. Can also make a plot of the bi-objective criterion space.
Author: Lars Relund [aut, cre]
Maintainer: Lars Relund <lars@relund.dk>

Diff between gMOIP versions 1.1.0 dated 2017-02-20 and 1.3.0 dated 2019-08-05

 gMOIP-1.1.0/gMOIP/inst/examples/examples.R          |only
 gMOIP-1.1.0/gMOIP/man/plotCriterion.Rd              |only
 gMOIP-1.3.0/gMOIP/DESCRIPTION                       |   22 
 gMOIP-1.3.0/gMOIP/MD5                               |   50 
 gMOIP-1.3.0/gMOIP/NAMESPACE                         |    6 
 gMOIP-1.3.0/gMOIP/NEWS.md                           |only
 gMOIP-1.3.0/gMOIP/R/functions.R                     | 1327 +++++++++++++++-----
 gMOIP-1.3.0/gMOIP/R/package_doc.R                   |   11 
 gMOIP-1.3.0/gMOIP/build                             |only
 gMOIP-1.3.0/gMOIP/inst/doc                          |only
 gMOIP-1.3.0/gMOIP/inst/examples/3d_interactive.Rmd  |only
 gMOIP-1.3.0/gMOIP/inst/examples/3d_interactive.html |only
 gMOIP-1.3.0/gMOIP/inst/examples/ex_criterion.R      |only
 gMOIP-1.3.0/gMOIP/inst/examples/ex_polytope.R       |only
 gMOIP-1.3.0/gMOIP/inst/examples/old_examples.R      |only
 gMOIP-1.3.0/gMOIP/man/cornerPoints.Rd               |   66 
 gMOIP-1.3.0/gMOIP/man/cornerPointsCont.Rd           |only
 gMOIP-1.3.0/gMOIP/man/criterionPoints.Rd            |   78 -
 gMOIP-1.3.0/gMOIP/man/df2String.Rd                  |only
 gMOIP-1.3.0/gMOIP/man/gMOIP.Rd                      |   58 
 gMOIP-1.3.0/gMOIP/man/hullSegment.Rd                |only
 gMOIP-1.3.0/gMOIP/man/inHull.Rd                     |only
 gMOIP-1.3.0/gMOIP/man/integerPoints.Rd              |   68 -
 gMOIP-1.3.0/gMOIP/man/loadView.Rd                   |only
 gMOIP-1.3.0/gMOIP/man/mergeLists.Rd                 |only
 gMOIP-1.3.0/gMOIP/man/plotCriterion2D.Rd            |only
 gMOIP-1.3.0/gMOIP/man/plotPolytope.Rd               |  391 +++++
 gMOIP-1.3.0/gMOIP/man/plotPolytope2D.Rd             |only
 gMOIP-1.3.0/gMOIP/man/plotPolytope3D.Rd             |only
 gMOIP-1.3.0/gMOIP/man/saveView.Rd                   |only
 gMOIP-1.3.0/gMOIP/man/slices.Rd                     |only
 gMOIP-1.3.0/gMOIP/vignettes                         |only
 32 files changed, 1482 insertions(+), 595 deletions(-)

More information about gMOIP at CRAN
Permanent link

Package cvms updated to version 0.1.2 with previous version 0.1.1 dated 2019-07-20

Title: Cross-Validation for Model Selection
Description: Cross-validate one or multiple regression models and get relevant evaluation metrics in a tidy format. Validate the best model on a test set and compare it to a baseline evaluation. Currently supports Gaussian and binomial regression. Described in chp. 5 of Jeyaraman, B. P., Olsen, L. R., & Wambugu M. (2019, ISBN: 9781838550134).
Author: Ludvig Renbo Olsen [aut, cre], Benjamin Hugh Zachariae [aut]
Maintainer: Ludvig Renbo Olsen <r-pkgs@ludvigolsen.dk>

Diff between cvms versions 0.1.1 dated 2019-07-20 and 0.1.2 dated 2019-08-05

 cvms-0.1.1/cvms/vignettes/man/figures/README-unnamed-chunk-15-1.png         |only
 cvms-0.1.1/cvms/vignettes/man/figures/README-unnamed-chunk-15-2.png         |only
 cvms-0.1.1/cvms/vignettes/man/figures/README-unnamed-chunk-15-3.png         |only
 cvms-0.1.1/cvms/vignettes/man/figures/README-unnamed-chunk-15-4.png         |only
 cvms-0.1.1/cvms/vignettes/man/figures/README-unnamed-chunk-16-1.png         |only
 cvms-0.1.2/cvms/DESCRIPTION                                                 |   12 
 cvms-0.1.2/cvms/MD5                                                         |   64 +--
 cvms-0.1.2/cvms/NEWS.md                                                     |   14 
 cvms-0.1.2/cvms/R/baseline.R                                                |   13 
 cvms-0.1.2/cvms/R/baseline_binomial.R                                       |   73 ++-
 cvms-0.1.2/cvms/R/baseline_gaussian.R                                       |   48 +-
 cvms-0.1.2/cvms/R/basics_cross_validate_list.R                              |   37 +
 cvms-0.1.2/cvms/R/basics_fit_model.R                                        |   12 
 cvms-0.1.2/cvms/R/basics_run_model_fitting.R                                |    6 
 cvms-0.1.2/cvms/R/basics_update_model_specifics.R                           |    4 
 cvms-0.1.2/cvms/R/basics_validate_list.R                                    |   25 -
 cvms-0.1.2/cvms/R/binomial_classification_eval.R                            |   22 -
 cvms-0.1.2/cvms/R/combine_predictors_prepare_args.R                         |    6 
 cvms-0.1.2/cvms/R/cross_validate.R                                          |    2 
 cvms-0.1.2/cvms/R/helpers.R                                                 |   83 ++++
 cvms-0.1.2/cvms/R/linear_regression_eval.R                                  |   11 
 cvms-0.1.2/cvms/README.md                                                   |   63 +--
 cvms-0.1.2/cvms/inst/doc/Introduction_to_cvms.R                             |   12 
 cvms-0.1.2/cvms/inst/doc/Introduction_to_cvms.Rmd                           |   12 
 cvms-0.1.2/cvms/inst/doc/Introduction_to_cvms.html                          |   30 -
 cvms-0.1.2/cvms/man/cross_validate.Rd                                       |    2 
 cvms-0.1.2/cvms/man/validate.Rd                                             |    2 
 cvms-0.1.2/cvms/tests/testthat/test_baseline.R                              |  107 +++++
 cvms-0.1.2/cvms/tests/testthat/test_combine_predictors.R                    |   67 +++
 cvms-0.1.2/cvms/tests/testthat/test_cross_validate.R                        |  196 +++++++++-
 cvms-0.1.2/cvms/tests/testthat/test_helpers.R                               |    6 
 cvms-0.1.2/cvms/tests/testthat/test_validate.R                              |   71 +++
 cvms-0.1.2/cvms/vignettes/Introduction_to_cvms.Rmd                          |   12 
 cvms-0.1.2/cvms/vignettes/man/figures/vignette_intro-unnamed-chunk-15-1.png |only
 cvms-0.1.2/cvms/vignettes/man/figures/vignette_intro-unnamed-chunk-15-2.png |only
 cvms-0.1.2/cvms/vignettes/man/figures/vignette_intro-unnamed-chunk-15-3.png |only
 cvms-0.1.2/cvms/vignettes/man/figures/vignette_intro-unnamed-chunk-15-4.png |only
 cvms-0.1.2/cvms/vignettes/man/figures/vignette_intro-unnamed-chunk-16-1.png |only
 38 files changed, 803 insertions(+), 209 deletions(-)

More information about cvms at CRAN
Permanent link

Package BANEScarparkinglite updated to version 0.1.3 with previous version 0.1.2 dated 2018-06-30

Title: Working with Car Parking Data for Bath and North East Somerset
Description: Contains functions for importing and working with the BANES car parking records and other related datasets. For the full version of the package, including all datasets, see the repo at <https://github.com/owenjonesuob/BANEScarparking>. The original dataset of parking records can be found at <https://data.bathhacked.org/Government-and-Society/BANES-Historic-Car-Park-Occupancy/x29s-cczc>.
Author: Owen Jones [aut, cre], Ryan Kenning [aut, ctb], Nick Howlett [ctb]
Maintainer: Owen Jones <joneso21164@gmail.com>

Diff between BANEScarparkinglite versions 0.1.2 dated 2018-06-30 and 0.1.3 dated 2019-08-05

 DESCRIPTION                             |   21 +--
 MD5                                     |   12 -
 NEWS.md                                 |   14 ++
 R/add_records.R                         |  200 +++++++++++++++++---------------
 R/web_scraping.R                        |    6 
 README.md                               |    4 
 inst/tests/testthat/test-web_scraping.R |   23 +--
 7 files changed, 158 insertions(+), 122 deletions(-)

More information about BANEScarparkinglite at CRAN
Permanent link

New package wyz.code.testthat with initial version 1.1.5
Package: wyz.code.testthat
Type: Package
Title: Wizardry Code Offensive Programming Test Generation
Version: 1.1.5
Author: Fabien Gelineau <neonira@gmail.com>
Maintainer: Fabien Gelineau <neonira@gmail.com>
Description: Allows to generate automatically 'testthat' code files from offensive programming test cases. Generated test files are complete and ready to run. Using 'wyz.code.testthat' you will earn a lot of time, reduce the number of errors in test case production, be able to test immediately generated files without any need to view or modify them, and enter a zero time latency between code implementation and industrial testing. As with 'testthat', you may complete provided test cases according to your needs to push testing further, but this need is nearly void when using 'wyz.code.offensiveProgramming'. Refer to chapter 9 of Offensive Programming Book, Fabien GELINEAU (2019, ISBN:979-10-699-4075-8), to learn about details and get value from this package.
Encoding: UTF-8
LazyData: true
License: GPL-3
Depends: R (>= 3.5)
Imports: methods, data.table (>= 1.11.8), tidyr, lubridate (>= 1.7.4), wyz.code.offensiveProgramming (>= 1.1.7)
Suggests: testthat, knitr, rmarkdown, DT (>= 0.5)
RoxygenNote: 6.1.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-08-03 14:59:55 UTC; fgelineau
Repository: CRAN
Date/Publication: 2019-08-05 13:10:02 UTC

More information about wyz.code.testthat at CRAN
Permanent link

New package tensorsparse with initial version 1.0
Package: tensorsparse
Type: Package
Title: Multiway Clustering via Tensor Block Models
Version: 1.0
Date: 2019-08-02
Author: Miaoyan Wang, Yuchen Zeng
Maintainer: Yuchen Zeng <yzeng58@wisc.edu>
Depends: glasso
Imports: fields, glmnet, rgl, reshape, mvtnorm, HDCI, clues, parallel, RColorBrewer, viridis, rTensor, methods
Description: Implements the multiway sparse clustering approach of Zeng and Wang (2019) <arXiv:1906.03807>.
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2019-08-04 01:06:40 UTC; cengyuchen
Repository: CRAN
Date/Publication: 2019-08-05 13:40:02 UTC
RoxygenNote: 6.1.1
Encoding: UTF-8

More information about tensorsparse at CRAN
Permanent link

New package slga with initial version 1.1.0
Package: slga
Type: Package
Title: Data Access Tools for the Soil and Landscape Grid of Australia
Version: 1.1.0
Date: 2019-08-03
Authors@R: c( person("Lauren", "O'Brien", email = "obrlsoilau@gmail.com", role = c('aut', 'cre')), person("Ross", "Searle", email = "ross.searle@csiro.au", role = c('ant')))
Description: Provides access to soil and landscape grid of Australia raster datasets via existing open geospatial consortium web coverage services. See <http://www.csiro.au/soil-and-landscape-grid>.
License: MIT + file LICENSE
Depends: R (>= 2.10)
Imports: httr, raster, sf, utils, xml2
Suggests: covr, knitr, pkgdown, rmarkdown, testthat
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
URL: https://github.com/obrl-soil/slga
BugReports: https://github.com/obrl-soil/slga/issues
NeedsCompilation: no
Packaged: 2019-08-03 03:45:10 UTC; leobr
Author: Lauren O'Brien [aut, cre], Ross Searle [ant]
Maintainer: Lauren O'Brien <obrlsoilau@gmail.com>
Repository: CRAN
Date/Publication: 2019-08-05 13:10:04 UTC

More information about slga at CRAN
Permanent link

New package MWright with initial version 0.3.0
Package: MWright
Type: Package
Title: Mainardi-Wright Family of Distributions
Version: 0.3.0
Author: Dexter Cahoy
Maintainer: Dexter Cahoy <dexter.cahoy@gmail.com>
Description: Implements random number generation, plotting, and estimation algorithms for the two-parameter one-sided and two-sided M-Wright (Mainardi-Wright) family. The M-Wright distributions naturally generalize widely used one-sided (Airy and half-normal or half-Gaussian) and symmetric (Airy and Gaussian or normal) models. These are widely studied in time-fractional differential equations. References: Cahoy and Minkabo (2017) <doi:10.3233/MAS-170388>; Cahoy (2012) <doi:10.1007/s00180-011-0269-x>; Cahoy (2012) <doi:10.1080/03610926.2010.543299>; Cahoy (2011); Mainardi, Mura, and Pagnini (2010) <doi:10.1155/2010/104505>.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Imports: stats, cubature
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-08-03 15:10:55 UTC; cahoyd
Repository: CRAN
Date/Publication: 2019-08-05 13:20:02 UTC

More information about MWright at CRAN
Permanent link

New package imagefx with initial version 0.1.0
Package: imagefx
Type: Package
Title: Extract Features from Images
Version: 0.1.0
Author: Alex J.C. Witsil
Maintainer: Alex J.C. Witsil <alexjcwitsil@gmail.com>
Description: Synthesize images into characteristic features for time-series analysis or machine learning applications. The package was originally intended for monitoring volcanic eruptions in video data by highlighting and extracting regions above the vent associated with plume activity. However, the functions within are general and have wide applications for image processing, analyzing, filtering, and plotting.
Depends: R (>= 2.10)
Imports: moments
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-08-04 01:24:09 UTC; alex
Repository: CRAN
Date/Publication: 2019-08-05 13:40:05 UTC

More information about imagefx at CRAN
Permanent link

New package formulaic with initial version 0.0.1
Package: formulaic
Title: Create Formula
Version: 0.0.1
Authors@R: c( person("David", "Shilane", , "david.shilane@columbia.edu", c("aut")), person("Caffrey", "Lee", , "cl3802@columbia.edu", c("ctb")), person("Zichen", "Huang", , "zh2380@columbia.edu", c("ctb")), person("Anderson", "Nelson", , "an2908@columbia.edu", c("ctb","cre")) )
Description: Create a dynamic formula with multiple features. It not only diminishes the time required for modeling and implementing, but also enriches the quality of the result. Many statistical models and analyses in 'R' are implemented through formula objects. The 'formulaic' package creates a unified approach for programmatically and dynamically generating formula objects in 'R'. Users may specify the inputs and outcomes of a model directly, search for variables to include based upon naming patterns, and identify variables to exclude. A wide range of quality checks are implemented to identify issues such as misspecified variables, duplication, a lack of contrast in the inputs, and a large number of levels in categorical data. These issues are documented and reported in a manner that provides greater accountability and useful information to guide an investigators choices in selecting features.
Depends: R (>= 3.6.0)
URL: https://github.com/dachosen1/formulaic
BugReports: https://github.com/dachosen1/formulaic/issues
License: GPL-3
Encoding: UTF-8
LazyData: TRUE
RoxygenNote: 6.1.1
Imports: data.table, stats, DT
Suggests: knitr, rmarkdown, testthat
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-08-03 17:09:47 UTC; ander
Author: David Shilane [aut], Caffrey Lee [ctb], Zichen Huang [ctb], Anderson Nelson [ctb, cre]
Maintainer: Anderson Nelson <an2908@columbia.edu>
Repository: CRAN
Date/Publication: 2019-08-05 13:30:02 UTC

More information about formulaic at CRAN
Permanent link

New package FCSlib with initial version 1.0.0
Package: FCSlib
Type: Package
Title: A Collection of Fluorescence Fluctuation Spectroscopy Methods
Version: 1.0.0
Date: 2019-07-30
Author: Raul Pinto Camara, Adan Guerrero.
Maintainer: Raul Pinto Camara <vasto.lorde.rp@gmail.com>
Description: A set of tools for fluorescence fluctuation spectroscopy data analysis performance is provided in this package. It includes techniques such as single-point fluorescence correlation spectroscopy, autocorrelation and pair correlation functions, number & brightness (raster line scan) and a novel method recently developed by Hinde and co-workers, pair correlation of molecular brightness. A set of simulations and real experimental data is used for the examples of each function provided in this package. For an in-depth description of the basics behind each function here included and a detailed step-by-step guide on how to use them on your own data, please refer to the Supplementary Material file provided at (<https://github.com/RPintoC/FCSlib_Sup>). R.A. Migueles-Ramirez, A.G. Velasco-Felix, R. Pinto-Camara, C.D. Wood, A. Guerrero (2017, ISBN-13:978-84-942134-9-6). Hinde, E., Pandzic, E., Yang, Z., Ng, I. H., Jans, D. A., Bogoyevitch, M. A., Gratton, E. & Gaus, K. (2016) <doi:10.1038/ncomms11047>.
License: GPL-3
Depends: R(>= 3.5.0), tiff
Suggests: fields
RoxygenNote: 6.1.1
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2019-08-03 12:43:49 UTC; raul_
Repository: CRAN
Date/Publication: 2019-08-05 13:10:08 UTC

More information about FCSlib at CRAN
Permanent link

New package seqgendiff with initial version 1.1.0
Package: seqgendiff
Type: Package
Title: RNA-Seq Generation/Modification for Simulation
Version: 1.1.0
Authors@R: person("David", "Gerard", email = "gerard.1787@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0001-9450-5023"))
Description: Generates/modifies RNA-seq data for use in simulations. We provide a suite of functions that will add a known amount of signal to a real RNA-seq dataset. The advantage of using this approach over simulating under a theoretical distribution is that common/annoying aspects of the data are more preserved, giving a more realistic evaluation of your method. The main functions are select_counts(), thin_diff(), thin_lib(), thin_gene(), thin_2group(), thin_all(), and effective_cor().
License: GPL-3
Encoding: UTF-8
LazyData: true
URL: https://github.com/dcgerard/seqgendiff
BugReports: http://github.com/dcgerard/seqgendiff/issues
RoxygenNote: 6.1.1
Suggests: covr, testthat, SummarizedExperiment, DESeq2, knitr, rmarkdown, airway, limma, qvalue, edgeR, optmatch
Imports: assertthat, irlba, sva, pdist, matchingR, clue, cate
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-08-02 15:20:00 UTC; dgerard
Author: David Gerard [aut, cre] (<https://orcid.org/0000-0001-9450-5023>)
Maintainer: David Gerard <gerard.1787@gmail.com>
Repository: CRAN
Date/Publication: 2019-08-05 12:20:02 UTC

More information about seqgendiff at CRAN
Permanent link

New package sensemakr with initial version 0.1.2
Package: sensemakr
Type: Package
Title: Sensitivity Analysis Tools for OLS
Date: 2019-07-26
Version: 0.1.2
Authors@R: c( person("Carlos", "Cinelli", role = c("aut", "cre"), email = "carloscinelli@hotmail.com"), person("Chad", "Hazlett", role = "aut"), person("Aaron", "Rudkin", role = "ctb") )
Author: Carlos Cinelli [aut, cre], Chad Hazlett [aut], Aaron Rudkin [ctb]
Maintainer: Carlos Cinelli <carloscinelli@hotmail.com>
Description: Implements a suite of sensitivity analysis tools that extends the traditional omitted variable bias framework and makes it easier to understand the impact of omitted variables in regression models, as discussed in Cinelli and Hazlett (2018) <https://www.researchgate.net/publication/322509816_Making_Sense_of_Sensitivity_Extending_Omitted_Variable_Bias>.
URL: https://github.com/chadhazlett/sensemakr
BugReports: https://github.com/chadhazlett/sensemakr/issues
License: GPL-3
Depends: R (>= 3.1.0)
Encoding: UTF-8
RoxygenNote: 6.1.1
Suggests: testthat, covr
LazyData: true
NeedsCompilation: no
Packaged: 2019-08-02 21:42:38 UTC; carloscinelli
Repository: CRAN
Date/Publication: 2019-08-05 12:50:02 UTC

More information about sensemakr at CRAN
Permanent link

New package SemNeT with initial version 1.0.0
Package: SemNeT
Title: Methods and Measures for Semantic Network Analysis
Version: 1.0.0
Date: 2019-07-31
Authors@R: c(person("Alexander P.", "Christensen", email = "alexpaulchristensen@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-9798-7037")), person("Yoed N.", "Kenett", role = c("aut", "ctb"), comment = c(ORCID = "0000-0003-3872-7689")))
Maintainer: Alexander P. Christensen <alexpaulchristensen@gmail.com>
Description: Implements several functions for the analysis of semantic networks including partial node bootstrapping (Kenett, Anaki, & Faust, 2014 <doi:10.3389/fnhum.2014.00407>), random walk simulation (Kenett & Austerweil, 2016 <http://alab.psych.wisc.edu/papers/files/Kenett16CreativityRW.pdf>), and a function to compute global network measures. Significance tests and plotting features are also implemented.
Depends: R (>= 3.5.0)
License: GPL (>= 3.0)
Encoding: UTF-8
LazyData: true
Imports: lsa, foreach, parallel, doParallel, pbapply, NetworkToolbox, SemNetCleaner, dplyr, plyr, RColorBrewer, purrr, magrittr, ggplot2, grid, igraph, qgraph, networktools
URL: https://github.com/AlexChristensen/SemNeT
BugReports: https://github.com/AlexChristensen/SemNeT/issues
NeedsCompilation: no
RoxygenNote: 6.1.1
Packaged: 2019-08-02 18:25:21 UTC; APCHRIST
Author: Alexander P. Christensen [aut, cre] (<https://orcid.org/0000-0002-9798-7037>), Yoed N. Kenett [aut, ctb] (<https://orcid.org/0000-0003-3872-7689>)
Repository: CRAN
Date/Publication: 2019-08-05 12:20:06 UTC

More information about SemNeT at CRAN
Permanent link

Package performance updated to version 0.3.0 with previous version 0.2.0 dated 2019-06-04

Title: Assessment of Regression Models Performance
Description: Utilities for computing measures to assess model quality, which are not directly provided by R's 'base' or 'stats' packages. These include e.g. measures like r-squared, intraclass correlation coefficient (Nakagawa, Johnson & Schielzeth (2017) <doi:10.1098/rsif.2017.0213>), root mean squared error or functions to check models for overdispersion, singularity or zero-inflation and more. Functions apply to a large variety of regression models, including generalized linear models, mixed effects models and Bayesian models.
Author: Daniel Lüdecke [aut, cre] (<https://orcid.org/0000-0002-8895-3206>), Dominique Makowski [aut, ctb] (<https://orcid.org/0000-0001-5375-9967>), Philip Waggoner [aut, ctb] (<https://orcid.org/0000-0002-7825-7573>)
Maintainer: Daniel Lüdecke <d.luedecke@uke.de>

Diff between performance versions 0.2.0 dated 2019-06-04 and 0.3.0 dated 2019-08-05

 performance-0.2.0/performance/man/r2_kl.Rd                            |only
 performance-0.2.0/performance/tests/testthat/test-r2_kl.R             |only
 performance-0.3.0/performance/DESCRIPTION                             |   17 -
 performance-0.3.0/performance/MD5                                     |  123 +++++-----
 performance-0.3.0/performance/NAMESPACE                               |   20 +
 performance-0.3.0/performance/NEWS.md                                 |   35 ++
 performance-0.3.0/performance/R/binned_residuals.R                    |   36 ++
 performance-0.3.0/performance/R/check_autocorrelation.R               |    2 
 performance-0.3.0/performance/R/check_collinearity.R                  |   44 ++-
 performance-0.3.0/performance/R/check_convergence.R                   |   20 +
 performance-0.3.0/performance/R/check_distribution.R                  |  104 ++++++--
 performance-0.3.0/performance/R/check_heteroscedasticity.R            |   11 
 performance-0.3.0/performance/R/check_homogeneity.R                   |only
 performance-0.3.0/performance/R/check_model.R                         |   25 +-
 performance-0.3.0/performance/R/check_model_diagnostics.R             |   94 ++++++-
 performance-0.3.0/performance/R/check_normality.R                     |   31 ++
 performance-0.3.0/performance/R/check_outliers.R                      |  123 ++++++++--
 performance-0.3.0/performance/R/check_overdispersion.R                |   39 +--
 performance-0.3.0/performance/R/check_singularity.R                   |    2 
 performance-0.3.0/performance/R/check_zeroinflation.R                 |   11 
 performance-0.3.0/performance/R/compare_performance.R                 |only
 performance-0.3.0/performance/R/helpers.R                             |   20 +
 performance-0.3.0/performance/R/icc.R                                 |   31 +-
 performance-0.3.0/performance/R/model_performance.R                   |   55 ----
 performance-0.3.0/performance/R/model_performance.bayesian.R          |   21 +
 performance-0.3.0/performance/R/model_performance.lavaan.R            |only
 performance-0.3.0/performance/R/model_performance.lm.R                |   27 +-
 performance-0.3.0/performance/R/performance_accuracy.R                |   16 -
 performance-0.3.0/performance/R/performance_mse.R                     |    6 
 performance-0.3.0/performance/R/performance_rmse.R                    |    2 
 performance-0.3.0/performance/R/performance_roc.R                     |    4 
 performance-0.3.0/performance/R/performance_score.R                   |   10 
 performance-0.3.0/performance/R/plot-methods.R                        |   40 +++
 performance-0.3.0/performance/R/print-methods.R                       |   61 +++-
 performance-0.3.0/performance/R/r2.R                                  |   12 
 performance-0.3.0/performance/R/r2_bayes.R                            |   13 -
 performance-0.3.0/performance/R/r2_kl.R                               |    6 
 performance-0.3.0/performance/R/r2_nakagawa.R                         |   15 -
 performance-0.3.0/performance/R/skewness_kurtosis.R                   |    5 
 performance-0.3.0/performance/R/sysdata.rda                           |binary
 performance-0.3.0/performance/README.md                               |  100 ++++----
 performance-0.3.0/performance/build/partial.rdb                       |binary
 performance-0.3.0/performance/man/binned_residuals.Rd                 |   16 +
 performance-0.3.0/performance/man/check_collinearity.Rd               |   10 
 performance-0.3.0/performance/man/check_convergence.Rd                |    4 
 performance-0.3.0/performance/man/check_distribution.Rd               |   21 +
 performance-0.3.0/performance/man/check_heteroscedasticity.Rd         |    4 
 performance-0.3.0/performance/man/check_homogeneity.Rd                |only
 performance-0.3.0/performance/man/check_model.Rd                      |    9 
 performance-0.3.0/performance/man/check_normality.Rd                  |   11 
 performance-0.3.0/performance/man/check_outliers.Rd                   |   63 ++++-
 performance-0.3.0/performance/man/check_overdispersion.Rd             |   39 +--
 performance-0.3.0/performance/man/check_singularity.Rd                |    2 
 performance-0.3.0/performance/man/icc.Rd                              |   31 +-
 performance-0.3.0/performance/man/model_performance.Rd                |   29 +-
 performance-0.3.0/performance/man/model_performance.lavaan.Rd         |only
 performance-0.3.0/performance/man/model_performance.stanreg.Rd        |   15 +
 performance-0.3.0/performance/man/performance_accuracy.Rd             |    6 
 performance-0.3.0/performance/man/performance_mse.Rd                  |    6 
 performance-0.3.0/performance/man/performance_rmse.Rd                 |    2 
 performance-0.3.0/performance/man/r2.Rd                               |    2 
 performance-0.3.0/performance/man/r2_bayes.Rd                         |    7 
 performance-0.3.0/performance/man/r2_kullback.Rd                      |only
 performance-0.3.0/performance/tests/testthat/test-check_singularity.R |    4 
 performance-0.3.0/performance/tests/testthat/test-coxph.R             |   17 -
 performance-0.3.0/performance/tests/testthat/test-icc.R               |   43 ---
 performance-0.3.0/performance/tests/testthat/test-r2_kullback.R       |only
 67 files changed, 1035 insertions(+), 487 deletions(-)

More information about performance at CRAN
Permanent link

New package dssd with initial version 0.1.0
Package: dssd
Imports: sf, plot3D, methods
Suggests: knitr, rmarkdown, tibble, testthat
VignetteBuilder: knitr
Type: Package
Title: Distance Sampling Survey Design
Version: 0.1.0
Author: Laura Marshall <lhm@st-andrews.ac.uk>
Maintainer: Laura Marshall <lhm@st-andrews.ac.uk>
Description: Creates survey designs for distance sampling surveys. These designs can be assessed for various effort and coverage statistics. Once the user is satisfied with the design characteristics they can generate a set of transects to use in their distance sampling survey. Many of the designs implemented in this R package were first made available in our 'Distance' for Windows software and are detailed in Chapter 7 of Advanced Distance Sampling, Buckland et. al. (2008, ISBN-13: 978-0199225873). Find out more about estimating animal/plant abundance with distance sampling at <http://distancesampling.org/>.
BugReports: https://github.com/DistanceDevelopment/dssd/issues
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Collate: 'Class.Constructors.R' 'Coverage.Grid.R' 'Transect.R' 'Region.R' 'generic.functions.R' 'Survey.Design.R' 'Line.Transect.Design.R' 'Line.Transect.R' 'Point.Transect.Design.R' 'Point.Transect.R' 'calc.region.width.R' 'calculate.trackline.pl.R' 'calculate.trackline.zz.R' 'calculate.trackline.zzcom.R' 'check.line.design.R' 'check.point.design.R' 'check.shape.R' 'generate.eqspace.zigzags.R' 'generate.parallel.lines.R' 'generate.random.points.R' 'generate.systematic.points.R' 'get.intersection.points.R' 'run.coverage.R' 'write.transects.R'
NeedsCompilation: no
Packaged: 2019-08-02 22:14:36 UTC; lhm
Repository: CRAN
Date/Publication: 2019-08-05 13:00:02 UTC

More information about dssd at CRAN
Permanent link

New package DRAFT with initial version 0.3.0
Package: DRAFT
Type: Package
Title: Disease Rapid Analysis and Forecasting Tool
Version: 0.3.0
Authors@R: c(person(given="Michal", family="Ben-Nun", email="mbennun@predsci.com", role="aut"), person(given="James", family="Turtle", email="jturtle@predsci.com", role="cre"), person(given="Pete", family="Riley", email="pete@predsci.com", role="ctb"))
Author: Michal Ben-Nun [aut], James Turtle [cre], Pete Riley [ctb]
Maintainer: James Turtle <jturtle@predsci.com>
Description: Fits epidemic data to and generates stochastic profiles of a model with constant or time-dependent behavior modification parameters. Two parameters, p and q, describe the effect of reduced contact rate of susceptible and infectious populations, respectively as described by Brauer (2011, ISSN:1471-2458). In the absence of behavior modification, p=q=1, we recover the familiar compartmental Susceptible-Infectious-Recovered (SIR) equations. 'DRAFT' supports both constant values for p and q and a time-dependent form which smoothly changes p and q from their initial, pre-epidemic value of 1.0 to the user chosen values that are between 0 and 1. The start and transient time of behavior change are set by the user. 'DRAFT' can be used to compare forecasts of epidemic incidence with and without behavior modification. Additional parameters and data fitting methods are explained in Ben-Nun et al (2019) <doi:10.1371/journal.pcbi.1007013>.
License: GPL-3
Encoding: UTF-8
LazyData: true
NeedsCompilation: yes
Imports: stats, utils, tools, coda, gridExtra, ggplot2, reshape, lubridate (>= 1.7.0)
RoxygenNote: 6.1.1
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Packaged: 2019-08-02 23:46:24 UTC; turtle
Repository: CRAN
Date/Publication: 2019-08-05 13:00:05 UTC

More information about DRAFT at CRAN
Permanent link

New package BayesPostEst with initial version 0.0.1
Package: BayesPostEst
Type: Package
Title: Generate Postestimation Quantities for Bayesian MCMC Estimation
Version: 0.0.1
Date: 2019-08-01
Authors@R: c(person("Johannes", "Karreth", email = "jkarreth@ursinus.edu", role = c("aut")), person("Shana", "Scogin", email = "shanarscogin@gmail.com", role = c("aut", "cre")), person("Andreas", "Beger", email = "adbeger@gmail.com", role = c("aut")), person("Myunghee", "Lee", email = "mlq38@mail.missouri.edu", role = c("ctb")), person("Neil", "Williams", email = "snpwill@uga.edu", role = c("ctb")))
Description: An implementation of functions to generate and plot postestimation quantities after estimating Bayesian regression models using Markov chain Monte Carlo (MCMC). Functionality includes the estimation of the Precision-Recall curves (see Beger, 2016 <doi:10.2139/ssrn.2765419>), the implementation of the observed values method of calculating predicted probabilities by Hanmer and Kalkan (2013) <doi:10.1111/j.1540-5907.2012.00602.x>, the implementation of the average value method of calculating predicted probabilities (see King, Tomz, and Wittenberg, 2000 <doi:10.2307/2669316>), and the generation and plotting of first differences to summarize typical effects across covariates (see Long 1997, ISBN:9780803973749; King, Tomz, and Wittenberg, 2000 <doi:10.2307/2669316>). This package can be used with MCMC output generated by any Bayesian estimation tool including 'JAGS', 'BUGS', 'MCMCpack', and 'Stan'.
URL: https://github.com/ShanaScogin/BayesPostEst
BugReports: https://github.com/ShanaScogin/BayesPostEst/issues
License: GPL-3
Imports: carData, caTools, coda (>= 0.13), dplyr (>= 0.5.0), ggmcmc, ggplot2, ggridges, R2jags, reshape2, rlang, ROCR, stats, tidyr (>= 0.5.1)
Depends: R (>= 2.14.0)
Encoding: UTF-8
LazyData: TRUE
LazyLoad: TRUE
Suggests: knitr, MCMCpack, rmarkdown, rstan (>= 2.10.1), rstanarm, testthat
VignetteBuilder: knitr
RoxygenNote: 6.1.1
SystemRequirements: JAGS (http://mcmc-jags.sourceforge.net)
NeedsCompilation: no
Packaged: 2019-08-02 21:10:33 UTC; shanascogin
Author: Johannes Karreth [aut], Shana Scogin [aut, cre], Andreas Beger [aut], Myunghee Lee [ctb], Neil Williams [ctb]
Maintainer: Shana Scogin <shanarscogin@gmail.com>
Repository: CRAN
Date/Publication: 2019-08-05 12:20:09 UTC

More information about BayesPostEst at CRAN
Permanent link

Package rSPARCS updated to version 0.0.5 with previous version 0.0.4 dated 2019-02-25

Title: Statistical Package for Analysis Related Cleaning Support
Description: To clean and analyze hospital data, and generate sets for statistical modeling.
Author: Wangjian Zhang, Zhicheng Du, Ziqiang Lin, Jijin Yao, Yanan Jin, Wayne R. Lawrence, Yuantao Hao
Maintainer: Wangjian Zhang <wzhang27@albany.edu>

Diff between rSPARCS versions 0.0.4 dated 2019-02-25 and 0.0.5 dated 2019-08-05

 DESCRIPTION       |    8 +++----
 MD5               |   14 ++++++------
 NAMESPACE         |    1 
 R/DBFgeocode.R    |    6 ++---
 R/FIPS.name.R     |   59 ++++++++++++++++++------------------------------------
 R/desc.comp.R     |    3 +-
 man/DBFgeocode.Rd |   20 ++++++++----------
 man/FIPS.name.Rd  |   44 +++++++++++++++-------------------------
 8 files changed, 62 insertions(+), 93 deletions(-)

More information about rSPARCS at CRAN
Permanent link

New package RISCA with initial version 0.8
Package: RISCA
Type: Package
Title: Causal Inference and Prediction in Cohort-Based Analyses
Version: 0.8
Depends: R (>= 3.6.0), splines, survival, relsurv, riskRegression
Imports: date, graphics, nlme, MASS, mvtnorm, statmod
Authors@R: c( person("Yohann", "Foucher", email = "Yohann.Foucher@univ-nantes.fr", role = c("aut", "cre")), person("Florent", "Le Borgne", email = "fleborgne@idbc.fr", role = "aut"), person("Etienne", "Dantan", email = "Etienne.Dantan@univ-nantes.fr", role = "aut"), person("Florence", "Gillaizeau", email = "Florence.Gillaizeau@univ-nantes.fr", role = "aut"), person("Arthur", "Chatton", email = "arthur.chatton@etu.univ-nantes.fr", role = "aut"), person("Christophe", "Combescure", email = "christophe.combescure@hcuge.ch", role = "aut"))
Description: We propose numerous functions for cohort-based analyses, either for prediction or causal inference. For causal inference, it includes Inverse Probability Weighting and G-computation for marginal estimation of an exposure effect when confounders are expected. We deal with binary outcomes, times-to-events (Le Borgne, 2016, <doi:10.1002/sim.6777>), competing events (Trebern-Launay, 2018, <doi: 10.1007/s10654-017-0322-3>), and multi-state data (Gillaizeau, 2018, <doi: 10.1002/sim.7550>). For multistate data, semi-Markov model with interval censoring (Foucher, 2008, <doi: 10.1177/0962280208093889>) may be considered and we propose the possibility to consider the excess of mortality related to the disease compared to reference lifetime tables (Gillaizeau, 2017, <doi: 10.1177/0962280215586456>). For predictive studies, we propose a set of functions to estimate time-dependent receiver operating characteristic (ROC) curves with the possible consideration of right-censoring times-to-events or the presence of confounders (Le Borgne, 2018, <doi: 10.1177/0962280217702416>). Finally, several functions are available to assess time-dependant ROC curves (Combescure, 2017, <doi: 10.1177/0962280212464542>) or survival curves (Combescure, 2014, <doi: 10.1002/sim.6111>) from aggregated data.
License: GPL (>= 2)
LazyLoad: yes
URL: www.labcom-risca.com
NeedsCompilation: no
Packaged: 2019-08-02 14:34:25 UTC; foucher-y
Author: Yohann Foucher [aut, cre], Florent Le Borgne [aut], Etienne Dantan [aut], Florence Gillaizeau [aut], Arthur Chatton [aut], Christophe Combescure [aut]
Maintainer: Yohann Foucher <Yohann.Foucher@univ-nantes.fr>
Repository: CRAN
Date/Publication: 2019-08-05 11:00:05 UTC

More information about RISCA at CRAN
Permanent link

Package rgeos updated to version 0.5-1 with previous version 0.4-3 dated 2019-04-24

Title: Interface to Geometry Engine - Open Source ('GEOS')
Description: Interface to Geometry Engine - Open Source ('GEOS') using the C 'API' for topology operations on geometries. The 'GEOS' library is external to the package, and, when installing the package from source, must be correctly installed first. Windows and Mac Intel OS X binaries are provided on 'CRAN'. ('rgeos' >= 0.5-1): Up to and including 'GEOS' 3.7.1, topological operations succeeded with some invalid geometries for which the same operations fail from and including 'GEOS' 3.7.2. The 'checkValidity=' argument defaults and structure have been changed, from default FALSE to integer default '0L' for 'GEOS' < 3.7.2 (no check), '1L' 'GEOS' >= 3.7.2 (check and warn). A value of '2L' is also provided that may be used, assigned globally using 'set_RGEOS_CheckValidity(2L)', or locally using the 'checkValidity=2L' argument, to attempt zero-width buffer repair if invalid geometries are found. The previous default (FALSE, now '0L') is fastest and used for 'GEOS' < 3.7.2, but will not warn users of possible problems before the failure of topological operations that previously succeeded.
Author: Roger Bivand [cre, aut] (<https://orcid.org/0000-0003-2392-6140>), Colin Rundel [aut], Edzer Pebesma [ctb], Rainer Stuetz [ctb], Karl Ove Hufthammer [ctb], Patrick Giraudoux [ctb], Martin Davis [cph, ctb], Sandro Santilli [cph, ctb]
Maintainer: Roger Bivand <Roger.Bivand@nhh.no>

Diff between rgeos versions 0.4-3 dated 2019-04-24 and 0.5-1 dated 2019-08-05

 ChangeLog                         |   85 +++++++++++++++++++++++++++
 DESCRIPTION                       |   11 +--
 MD5                               |   32 +++++-----
 NAMESPACE                         |    3 
 R/AAA.R                           |   13 ++++
 R/rgeos_topology.R                |   18 +++++
 R/rgeos_topology_binary.R         |  119 +++++++++++++++++++++++++++++---------
 configure                         |   18 ++---
 inst/ChangeLog                    |   85 +++++++++++++++++++++++++++
 inst/SVN_VERSION                  |    2 
 man/topo-bin-gDifference.Rd       |    4 -
 man/topo-bin-gIntersection.Rd     |   10 +--
 man/topo-bin-gSymdifference.Rd    |    4 -
 man/topo-bin-gUnion.Rd            |    8 +-
 man/utility-functions.Rd          |   11 ++-
 src/rgeos_R2geos.c                |    2 
 tests/leak_by_exception.Rout.save |   30 ++++++++-
 17 files changed, 374 insertions(+), 81 deletions(-)

More information about rgeos at CRAN
Permanent link

Package MetabolicSurv updated to version 1.1.0 with previous version 1.0.0 dated 2019-01-30

Title: A Biomarker Validation Approach for Classification and Predicting Survival Using Metabolomics Signature
Description: An approach to identifies metabolic biomarker signature for metabolic data by discovering predictive metabolite for predicting survival and classifying patients into risk groups. Classifiers are constructed as a linear combination of predictive/important metabolites, prognostic factors and treatment effects if necessary. Several methods were implemented to reduce the metabolomics matrix such as the principle component analysis of Wold Svante et al. (1987) <doi:10.1016/0169-7439(87)80084-9> , the LASSO method by Robert Tibshirani (1998) <doi:10.1002/(SICI)1097-0258(19970228)16:4%3C385::AID-SIM380%3E3.0.CO;2-3>, the elastic net approach by Hui Zou and Trevor Hastie (2005) <doi:10.1111/j.1467-9868.2005.00503.x>. Sensitivity analysis on the quantile used for the classification can also be accessed to check the deviation of the classification group based on the quantile specified. Large scale cross validation can be performed in order to investigate the mostly selected predictive metabolites and for internal validation. During the evaluation process, validation is accessed using the hazard ratios (HR) distribution of the test set and inference is mainly based on resampling and permutations technique.
Author: Olajumoke Evangelina Owokotomo [aut, cre], Ziv Shkedy [aut]
Maintainer: Olajumoke Evangelina Owokotomo <olajumoke.owokotomo@uhasselt.be>

Diff between MetabolicSurv versions 1.0.0 dated 2019-01-30 and 1.1.0 dated 2019-08-05

 DESCRIPTION                 |    6 
 MD5                         |   86 ++++++------
 NAMESPACE                   |   90 ++++++-------
 NEWS.md                     |   12 -
 R/CVPcaPls.R                |    2 
 R/Majorityvotes.R           |    2 
 R/MetFreq.R                 |  136 ++++++++-----------
 R/cvle-class.R              |   62 ++++-----
 R/cvmm-class.R              |   10 -
 R/cvmv-class.R              |   16 +-
 R/cvpp-class.R              |    7 -
 build/partial.rdb           |binary
 build/vignette.rds          |binary
 inst/doc/MetabolicSurv.R    |   12 -
 inst/doc/MetabolicSurv.Rmd  |   50 +++----
 inst/doc/MetabolicSurv.html |  303 +++++++++++++++++++++++++++++++++++---------
 man/CVLasoelacox.Rd         |  176 ++++++++++++-------------
 man/CVMajorityvotes.Rd      |  134 +++++++++----------
 man/CVMetSpecificCoxPh.Rd   |  144 ++++++++++----------
 man/CVPcaPls.Rd             |  148 ++++++++++-----------
 man/CVSim.Rd                |  120 ++++++++---------
 man/DataHR.Rd               |   58 ++++----
 man/DistHR.Rd               |  138 ++++++++++----------
 man/EstimateHR.Rd           |  104 +++++++--------
 man/Icvlasoel.Rd            |  162 +++++++++++------------
 man/Lasoelacox.Rd           |  162 +++++++++++------------
 man/MSData.Rd               |   96 ++++++-------
 man/MSpecificCoxPh.Rd       |  134 +++++++++----------
 man/Majorityvotes.Rd        |  134 +++++++++----------
 man/MetFreq.Rd              |  104 +++++++--------
 man/MetabolicSurv.Rd        |   54 +++----
 man/QuantileAnalysis.Rd     |  144 ++++++++++----------
 man/SIMet.Rd                |  142 ++++++++++----------
 man/SurvPcaClass.Rd         |  152 +++++++++++-----------
 man/SurvPlsClass.Rd         |  152 +++++++++++-----------
 man/cvle-class.Rd           |  162 +++++++++++------------
 man/cvmm-class.Rd           |  162 +++++++++++------------
 man/cvmv-class.Rd           |  140 ++++++++++----------
 man/cvpp-class.Rd           |  140 ++++++++++----------
 man/cvsim-class.Rd          |  152 +++++++++++-----------
 man/fcv-class.Rd            |  158 +++++++++++-----------
 man/ms-class.Rd             |  148 ++++++++++-----------
 man/perm-class.Rd           |  146 ++++++++++-----------
 vignettes/MetabolicSurv.Rmd |   50 +++----
 44 files changed, 2336 insertions(+), 2174 deletions(-)

More information about MetabolicSurv at CRAN
Permanent link

New package geobr with initial version 1.0
Type: Package
Package: geobr
Title: Loads Shapefiles of Official Spatial Data Sets of Brazil
Version: 1.0
Authors@R: c(person(given="Rafael H. M.", family="Pereira", email="rafa.pereira.br@gmail.com", role=c("aut", "cre"), comment = c(ORCID = "0000-0003-2125-7465")), person(given="Caio", family="Nogueira Goncalves", role=c("aut")), person(given="Guilherme", family="Duarte Carvalho", role=c("aut")), person(given="Paulo Henrique", family="Fernandes de Araujo", role=c("aut")), person(given="Rodrigo", family="Almeida de Arruda", role=c("aut")), person(given="Igor", family="Nascimento", role="aut"), person("Ipea - Institue for Applied Economic Research", role = c("cph", "fnd")))
Date: 2019-07-28
URL: https://github.com/ipeaGIT/geobr
BugReports: https://github.com/ipeaGIT/geobr/issues
Description: Easy access to shapefiles of the Brazilian Institute of Geography and Statistics (IBGE) <https://www.ibge.gov.br/> and other official spatial data sets of Brazil as 'sf' objects in R. The package includes a wide range of geographic datasets available at various geographic scales and for various years.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: TRUE
Depends: R (>= 3.4.0)
Suggests: ggplot2, mapview, knitr, rio, rmarkdown
Imports: dplyr, httr, readr, sf, utils
RoxygenNote: 6.1.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-08-02 14:29:10 UTC; rafa
Author: Rafael H. M. Pereira [aut, cre] (<https://orcid.org/0000-0003-2125-7465>), Caio Nogueira Goncalves [aut], Guilherme Duarte Carvalho [aut], Paulo Henrique Fernandes de Araujo [aut], Rodrigo Almeida de Arruda [aut], Igor Nascimento [aut], Ipea - Institue for Applied Economic Research [cph, fnd]
Maintainer: Rafael H. M. Pereira <rafa.pereira.br@gmail.com>
Repository: CRAN
Date/Publication: 2019-08-05 11:00:02 UTC

More information about geobr at CRAN
Permanent link

Package IsoplotR updated to version 3.0 with previous version 2.7 dated 2019-06-06

Title: Statistical Toolbox for Radiometric Geochronology
Description: Plots U-Pb data on Wetherill and Tera-Wasserburg concordia diagrams. Calculates concordia and discordia ages. Performs linear regression of measurements with correlated errors using 'York', 'Titterington' and 'Ludwig' approaches. Generates Kernel Density Estimates (KDEs) and Cumulative Age Distributions (CADs). Produces Multidimensional Scaling (MDS) configurations and Shepard plots of multi-sample detrital datasets using the Kolmogorov-Smirnov distance as a dissimilarity measure. Calculates 40Ar/39Ar ages, isochrons, and age spectra. Computes weighted means accounting for overdispersion. Calculates U-Th-He (single grain and central) ages, logratio plots and ternary diagrams. Processes fission track data using the external detector method and LA-ICP-MS, calculates central ages and plots fission track and other data on radial (a.k.a. 'Galbraith') plots. Constructs total Pb-U, Pb-Pb, K-Ca, Re-Os, Sm-Nd, Lu-Hf, Rb-Sr and 230Th-U isochrons as well as 230Th-U evolution plots.
Author: Pieter Vermeesch [aut, cre]
Maintainer: Pieter Vermeesch <p.vermeesch@ucl.ac.uk>

Diff between IsoplotR versions 2.7 dated 2019-06-06 and 3.0 dated 2019-08-05

 DESCRIPTION         |    8 
 MD5                 |  110 +++---
 NAMESPACE           |    2 
 R/UPb.R             |  563 ++++++++++++++++----------------
 R/age.R             |   62 ++-
 R/agespectrum.R     |   45 +-
 R/cad.R             |   29 +
 R/central.R         |   65 +--
 R/ci.R              |    4 
 R/commonPb.R        |  342 +++++++++++++++----
 R/concordia.R       |  279 ++++++++-------
 R/constants.R       |   98 ++---
 R/discordia.R       |  105 +++--
 R/diseq.R           |  668 ++++++++++++++++++++++++--------------
 R/errorellipse.R    |   38 +-
 R/evolution.R       |   32 -
 R/fissiontracks.R   |    4 
 R/helioplot.R       |   33 -
 R/io.R              |  278 ++++++++-------
 R/isochron.R        |  257 +++++++++++---
 R/kde.R             |   26 +
 R/ludwig.R          |  914 ++++++++++++++++++++++++++++++++--------------------
 R/mds.R             |    2 
 R/peakfit.R         |   44 +-
 R/radialplot.R      |  317 +++++++++---------
 R/regression.R      |    4 
 R/titterington.R    |    3 
 R/toolbox.R         |   91 +++--
 R/weightedmean.R    |   59 +--
 R/york.R            |  204 +++--------
 data/examples.rda   |binary
 inst/UPb7.csv       |   20 -
 inst/UPb8.csv       |   22 -
 inst/constants.json |    4 
 inst/diseq.csv      |only
 man/Pb0corr.Rd      |   44 +-
 man/age.Rd          |   44 +-
 man/agespectrum.Rd  |   39 +-
 man/cad.Rd          |   26 +
 man/central.Rd      |   54 +--
 man/concordia.Rd    |  124 +++----
 man/data2york.Rd    |   45 +-
 man/diseq.Rd        |  134 ++++---
 man/evolution.Rd    |   27 -
 man/helioplot.Rd    |   27 -
 man/isochron.Rd     |  148 +++++---
 man/kde.Rd          |   25 -
 man/ludwig.Rd       |   18 -
 man/mclean.Rd       |only
 man/peakfit.Rd      |   27 +
 man/radialplot.Rd   |  149 ++++----
 man/read.data.Rd    |  126 +++++--
 man/scatterplot.Rd  |   36 +-
 man/settings.Rd     |   98 ++---
 man/titterington.Rd |    3 
 man/weightedmean.Rd |   56 +--
 man/york.Rd         |    2 
 57 files changed, 3563 insertions(+), 2421 deletions(-)

More information about IsoplotR at CRAN
Permanent link

Package meme updated to version 0.2.2 with previous version 0.2.1 dated 2018-09-27

Title: Create Meme
Description: The word 'Meme' was originated from the book, 'The Selfish Gene', authored by Richard Dawkins (1976). It is a unit of culture that is passed from one generation to another and correlates to the gene, the unit of physical heredity. The internet memes are captioned photos that are intended to be funny, ridiculous. Memes behave like infectious viruses and travel from person to person quickly through social media. The 'meme' package allows users to make custom memes.
Author: Guangchuang Yu [aut, cre] (<https://orcid.org/0000-0002-6485-8781>)
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>

Diff between meme versions 0.2.1 dated 2018-09-27 and 0.2.2 dated 2019-08-05

 DESCRIPTION              |    8 -
 MD5                      |   13 +-
 build/vignette.rds       |binary
 inst/ash-pikachu.0.0.jpg |only
 inst/doc/meme.R          |    6 -
 inst/doc/meme.Rmd        |    6 -
 inst/doc/meme.html       |  226 ++++++++++++++++++++++++++---------------------
 vignettes/meme.Rmd       |    6 -
 8 files changed, 151 insertions(+), 114 deletions(-)

More information about meme at CRAN
Permanent link

Package BCEA updated to version 2.3-1 with previous version 2.2-6 dated 2018-07-11

Title: Bayesian Cost Effectiveness Analysis
Description: Produces an economic evaluation of a Bayesian model in the form of MCMC simulations. Given suitable variables of cost and effectiveness / utility for two or more interventions, This package computes the most cost-effective alternative and produces graphical summaries and probabilistic sensitivity analysis.
Author: Gianluca Baio, Andrea Berardi, Anna Heath
Maintainer: Gianluca Baio <gianluca@stats.ucl.ac.uk>

Diff between BCEA versions 2.2-6 dated 2018-07-11 and 2.3-1 dated 2019-08-05

 DESCRIPTION         |   15 
 MD5                 |   54 +-
 NAMESPACE           |    2 
 R/BCEA-package.R    |    4 
 R/BCEAweb.R         |    2 
 R/CreateInputs.R    |   20 
 R/ceac.plot.R       |  453 +++++++++++++------
 R/ceplane.plot.R    |  969 ++++++++++++++++++++++++++++--------------
 R/eib.plot.R        |  444 ++++++++++++++-----
 R/evi.plot.R        |  222 +++++++--
 R/evppi.default.R   |   17 
 R/info.rank.R       |  195 +++++---
 R/make.report.R     |only
 data/datalist       |    3 
 inst/BCEAweb/ui.R   | 1196 ++++++++++++++++++++++++++--------------------------
 inst/CITATION       |only
 inst/Report         |only
 man/BCEA-package.Rd |   59 +-
 man/BCEAweb.Rd      |    9 
 man/CreateInputs.Rd |   59 +-
 man/Vaccine.Rd      |    7 
 man/ceac.plot.Rd    |  110 ++--
 man/ceplane.plot.Rd |  183 ++++---
 man/diag.evppi.Rd   |    3 
 man/eib.plot.Rd     |  156 +++---
 man/evi.plot.Rd     |   76 +--
 man/info.rank.Rd    |  126 ++---
 man/make.report.Rd  |only
 28 files changed, 2709 insertions(+), 1675 deletions(-)

More information about BCEA at CRAN
Permanent link

Package bnlearn updated to version 4.5 with previous version 4.4.1 dated 2019-03-05

Title: Bayesian Network Structure Learning, Parameter Learning and Inference
Description: Bayesian network structure learning, parameter learning and inference. This package implements constraint-based (PC, GS, IAMB, Inter-IAMB, Fast-IAMB, MMPC, Hiton-PC, HPC), pairwise (ARACNE and Chow-Liu), score-based (Hill-Climbing and Tabu Search) and hybrid (MMHC, RSMAX2, H2PC) structure learning algorithms for discrete, Gaussian and conditional Gaussian networks, along with many score functions and conditional independence tests. The Naive Bayes and the Tree-Augmented Naive Bayes (TAN) classifiers are also implemented. Some utility functions (model comparison and manipulation, random data generation, arc orientation testing, simple and advanced plots) are included, as well as support for parameter estimation (maximum likelihood and Bayesian) and inference, conditional probability queries, cross-validation, bootstrap and model averaging. Development snapshots with the latest bugfixes are available from <http://www.bnlearn.com>.
Author: Marco Scutari [aut, cre], Robert Ness [ctb]
Maintainer: Marco Scutari <marco.scutari@gmail.com>

Diff between bnlearn versions 4.4.1 dated 2019-03-05 and 4.5 dated 2019-08-05

 bnlearn-4.4.1/bnlearn/R/relevant.R                          |only
 bnlearn-4.4.1/bnlearn/man/relevant.Rd                       |only
 bnlearn-4.5/bnlearn/Changelog                               |   55 
 bnlearn-4.5/bnlearn/DESCRIPTION                             |   35 
 bnlearn-4.5/bnlearn/MD5                                     |  334 ++---
 bnlearn-4.5/bnlearn/NAMESPACE                               |    9 
 bnlearn-4.5/bnlearn/R/arc.strength.R                        |   26 
 bnlearn-4.5/bnlearn/R/backend-indep.R                       |   79 -
 bnlearn-4.5/bnlearn/R/bootstrap.R                           |   46 
 bnlearn-4.5/bnlearn/R/ci.test.R                             |    2 
 bnlearn-4.5/bnlearn/R/classifiers.R                         |    4 
 bnlearn-4.5/bnlearn/R/cpdag.R                               |   23 
 bnlearn-4.5/bnlearn/R/cpq.R                                 |    2 
 bnlearn-4.5/bnlearn/R/custom.fit.R                          |   10 
 bnlearn-4.5/bnlearn/R/cv.R                                  |   32 
 bnlearn-4.5/bnlearn/R/data.preprocessing.R                  |   12 
 bnlearn-4.5/bnlearn/R/fast-iamb.R                           |   80 -
 bnlearn-4.5/bnlearn/R/fast.lm.R                             |    2 
 bnlearn-4.5/bnlearn/R/fit.R                                 |    4 
 bnlearn-4.5/bnlearn/R/fitted.assignment.R                   |    6 
 bnlearn-4.5/bnlearn/R/frontend-bn.R                         |    4 
 bnlearn-4.5/bnlearn/R/frontend-bootstrap.R                  |   21 
 bnlearn-4.5/bnlearn/R/frontend-data.R                       |   38 
 bnlearn-4.5/bnlearn/R/frontend-fit.R                        |   80 +
 bnlearn-4.5/bnlearn/R/frontend-lattice.R                    |   69 +
 bnlearn-4.5/bnlearn/R/frontend-learning.R                   |   63 -
 bnlearn-4.5/bnlearn/R/frontend-plot.R                       |   32 
 bnlearn-4.5/bnlearn/R/frontend-predict.R                    |   15 
 bnlearn-4.5/bnlearn/R/frontend-print.R                      |    6 
 bnlearn-4.5/bnlearn/R/frontend-simulation.R                 |    4 
 bnlearn-4.5/bnlearn/R/frontend-strength.R                   |   47 
 bnlearn-4.5/bnlearn/R/globals.R                             |   33 
 bnlearn-4.5/bnlearn/R/graphviz-compare.R                    |   12 
 bnlearn-4.5/bnlearn/R/grow-shrink.R                         |   83 -
 bnlearn-4.5/bnlearn/R/hiton-pc.R                            |  104 -
 bnlearn-4.5/bnlearn/R/hybrid-pc.R                           |only
 bnlearn-4.5/bnlearn/R/iamb-fdr.R                            |only
 bnlearn-4.5/bnlearn/R/incremental-association.R             |   83 -
 bnlearn-4.5/bnlearn/R/inter-iamb.R                          |  101 -
 bnlearn-4.5/bnlearn/R/lattice.R                             |   12 
 bnlearn-4.5/bnlearn/R/learning-algorithms.R                 |  228 +--
 bnlearn-4.5/bnlearn/R/loss.R                                |    6 
 bnlearn-4.5/bnlearn/R/maxmin-pc.R                           |   77 -
 bnlearn-4.5/bnlearn/R/nparams.R                             |    2 
 bnlearn-4.5/bnlearn/R/predict.R                             |   14 
 bnlearn-4.5/bnlearn/R/sanitization-arclists.R               |    8 
 bnlearn-4.5/bnlearn/R/sanitization-bootstrap.R              |    4 
 bnlearn-4.5/bnlearn/R/sanitization-data.R                   |    2 
 bnlearn-4.5/bnlearn/R/sanitization-fitted.R                 |   48 
 bnlearn-4.5/bnlearn/R/sanitization-fitting.R                |   10 
 bnlearn-4.5/bnlearn/R/sanitization-graph.R                  |    2 
 bnlearn-4.5/bnlearn/R/sanitization-learning.R               |    4 
 bnlearn-4.5/bnlearn/R/sanitization-loss.R                   |   22 
 bnlearn-4.5/bnlearn/R/sanitization-queries.R                |   20 
 bnlearn-4.5/bnlearn/R/sanitization-scores.R                 |  195 ++-
 bnlearn-4.5/bnlearn/R/sanitization-vsdata.R                 |    5 
 bnlearn-4.5/bnlearn/R/tabu.R                                |    5 
 bnlearn-4.5/bnlearn/R/test.R                                |    2 
 bnlearn-4.5/bnlearn/R/utils-graph.R                         |    2 
 bnlearn-4.5/bnlearn/R/utils-misc.R                          |   24 
 bnlearn-4.5/bnlearn/man/alarm.Rd                            |    2 
 bnlearn-4.5/bnlearn/man/alpha.star.Rd                       |    2 
 bnlearn-4.5/bnlearn/man/arc.strength.Rd                     |   30 
 bnlearn-4.5/bnlearn/man/bayesian.network.classifiers.Rd     |only
 bnlearn-4.5/bnlearn/man/bf.Rd                               |    2 
 bnlearn-4.5/bnlearn/man/bn.class.Rd                         |    2 
 bnlearn-4.5/bnlearn/man/bn.cv.Rd                            |    6 
 bnlearn-4.5/bnlearn/man/bn.fit.Rd                           |   13 
 bnlearn-4.5/bnlearn/man/bn.fit.methods.Rd                   |   17 
 bnlearn-4.5/bnlearn/man/bn.fit.plots.Rd                     |   14 
 bnlearn-4.5/bnlearn/man/bn.kcv.class.Rd                     |    3 
 bnlearn-4.5/bnlearn/man/bnboot.Rd                           |    6 
 bnlearn-4.5/bnlearn/man/bnlearn-package.Rd                  |  502 +-------
 bnlearn-4.5/bnlearn/man/choose.direction.Rd                 |    5 
 bnlearn-4.5/bnlearn/man/ci.test.Rd                          |   33 
 bnlearn-4.5/bnlearn/man/compare.Rd                          |    9 
 bnlearn-4.5/bnlearn/man/conditional.independence.tests.Rd   |only
 bnlearn-4.5/bnlearn/man/constraint.Rd                       |   88 -
 bnlearn-4.5/bnlearn/man/ctsdag.Rd                           |    8 
 bnlearn-4.5/bnlearn/man/graphgen.Rd                         |    2 
 bnlearn-4.5/bnlearn/man/graphviz.plot.Rd                    |    3 
 bnlearn-4.5/bnlearn/man/hc.Rd                               |   27 
 bnlearn-4.5/bnlearn/man/hybrid.Rd                           |   27 
 bnlearn-4.5/bnlearn/man/impute.Rd                           |   20 
 bnlearn-4.5/bnlearn/man/learn.Rd                            |    6 
 bnlearn-4.5/bnlearn/man/mb.Rd                               |    2 
 bnlearn-4.5/bnlearn/man/mi.matrix.Rd                        |    8 
 bnlearn-4.5/bnlearn/man/naive.bayes.Rd                      |    3 
 bnlearn-4.5/bnlearn/man/network.scores.Rd                   |only
 bnlearn-4.5/bnlearn/man/ordering.Rd                         |    2 
 bnlearn-4.5/bnlearn/man/rbn.Rd                              |   13 
 bnlearn-4.5/bnlearn/man/score.Rd                            |   84 -
 bnlearn-4.5/bnlearn/man/strength.plot.Rd                    |   11 
 bnlearn-4.5/bnlearn/man/structural.em.Rd                    |    8 
 bnlearn-4.5/bnlearn/man/structure.learning.Rd               |only
 bnlearn-4.5/bnlearn/man/whitelists.and.blacklists.Rd        |only
 bnlearn-4.5/bnlearn/src/acyclic.c                           |   23 
 bnlearn-4.5/bnlearn/src/allsubs.test.c                      |  695 +++++++++---
 bnlearn-4.5/bnlearn/src/alpha.star.c                        |   16 
 bnlearn-4.5/bnlearn/src/arcs2elist.c                        |    1 
 bnlearn-4.5/bnlearn/src/bn.recovery.c                       |   26 
 bnlearn-4.5/bnlearn/src/cache.structure.c                   |   26 
 bnlearn-4.5/bnlearn/src/cextend.c                           |   18 
 bnlearn-4.5/bnlearn/src/cg.assumptions.c                    |    2 
 bnlearn-4.5/bnlearn/src/cg.loglikelihood.c                  |    5 
 bnlearn-4.5/bnlearn/src/cg.mutual.information.c             |    5 
 bnlearn-4.5/bnlearn/src/cg.predictive.loglikelihood.c       |only
 bnlearn-4.5/bnlearn/src/common.c                            |   21 
 bnlearn-4.5/bnlearn/src/conditional.least.squares.c         |    2 
 bnlearn-4.5/bnlearn/src/covariance.c                        |   88 -
 bnlearn-4.5/bnlearn/src/cpdag.c                             |  143 +-
 bnlearn-4.5/bnlearn/src/ctest.c                             |  610 +++-------
 bnlearn-4.5/bnlearn/src/data.frame.c                        |    4 
 bnlearn-4.5/bnlearn/src/data.table.c                        |  231 +++
 bnlearn-4.5/bnlearn/src/dedup.c                             |    8 
 bnlearn-4.5/bnlearn/src/df.adjust.c                         |  133 +-
 bnlearn-4.5/bnlearn/src/dirichlet.averaged.posterior.c      |    6 
 bnlearn-4.5/bnlearn/src/dirichlet.posterior.c               |    6 
 bnlearn-4.5/bnlearn/src/discrete.loglikelihood.c            |    5 
 bnlearn-4.5/bnlearn/src/discrete.monte.carlo.c              |   20 
 bnlearn-4.5/bnlearn/src/discrete.predictive.loglikelihood.c |only
 bnlearn-4.5/bnlearn/src/discrete.tests.c                    |   17 
 bnlearn-4.5/bnlearn/src/enums.c                             |   19 
 bnlearn-4.5/bnlearn/src/filter.arcs.c                       |   44 
 bnlearn-4.5/bnlearn/src/gaussian.loglikelihood.c            |    7 
 bnlearn-4.5/bnlearn/src/gaussian.monte.carlo.c              |   22 
 bnlearn-4.5/bnlearn/src/gaussian.predictive.loglikelihood.c |only
 bnlearn-4.5/bnlearn/src/gaussian.tests.c                    |    2 
 bnlearn-4.5/bnlearn/src/graph.generation.c                  |   66 -
 bnlearn-4.5/bnlearn/src/graph.priors.c                      |   20 
 bnlearn-4.5/bnlearn/src/hash.c                              |   12 
 bnlearn-4.5/bnlearn/src/hc.cache.lookup.c                   |   30 
 bnlearn-4.5/bnlearn/src/htest.c                             |    2 
 bnlearn-4.5/bnlearn/src/include/blas.h                      |   12 
 bnlearn-4.5/bnlearn/src/include/bn.h                        |    2 
 bnlearn-4.5/bnlearn/src/include/covariance.h                |   11 
 bnlearn-4.5/bnlearn/src/include/data.frame.h                |    2 
 bnlearn-4.5/bnlearn/src/include/data.table.h                |   19 
 bnlearn-4.5/bnlearn/src/include/fitted.h                    |    2 
 bnlearn-4.5/bnlearn/src/include/graph.h                     |   12 
 bnlearn-4.5/bnlearn/src/include/loss.h                      |    4 
 bnlearn-4.5/bnlearn/src/include/rcore.h                     |    3 
 bnlearn-4.5/bnlearn/src/include/register.h                  |    8 
 bnlearn-4.5/bnlearn/src/include/sampling.h                  |   10 
 bnlearn-4.5/bnlearn/src/include/scores.h                    |   77 -
 bnlearn-4.5/bnlearn/src/include/tests.h                     |   15 
 bnlearn-4.5/bnlearn/src/init.c                              |    4 
 bnlearn-4.5/bnlearn/src/is.row.equal.c                      |    8 
 bnlearn-4.5/bnlearn/src/jonckheere.c                        |    5 
 bnlearn-4.5/bnlearn/src/least.squares.c                     |    4 
 bnlearn-4.5/bnlearn/src/likelihood.weighting.c              |    4 
 bnlearn-4.5/bnlearn/src/linear.algebra.c                    |  201 ---
 bnlearn-4.5/bnlearn/src/linear.correlation.c                |    4 
 bnlearn-4.5/bnlearn/src/loss.c                              |   24 
 bnlearn-4.5/bnlearn/src/map.lw.c                            |   24 
 bnlearn-4.5/bnlearn/src/mi.matrix.c                         |   34 
 bnlearn-4.5/bnlearn/src/nparams.c                           |   33 
 bnlearn-4.5/bnlearn/src/path.c                              |   40 
 bnlearn-4.5/bnlearn/src/pdag2dag.c                          |   14 
 bnlearn-4.5/bnlearn/src/per.node.score.c                    |   88 +
 bnlearn-4.5/bnlearn/src/predict.c                           |   77 -
 bnlearn-4.5/bnlearn/src/rbn.c                               |   41 
 bnlearn-4.5/bnlearn/src/roundrobin.test.c                   |  657 ++++++++---
 bnlearn-4.5/bnlearn/src/sampling.c                          |   79 -
 bnlearn-4.5/bnlearn/src/sanitization.c                      |    2 
 bnlearn-4.5/bnlearn/src/score.delta.c                       |    4 
 bnlearn-4.5/bnlearn/src/shd.c                               |    5 
 bnlearn-4.5/bnlearn/src/shrinkage.c                         |   14 
 bnlearn-4.5/bnlearn/src/simulation.c                        |   13 
 bnlearn-4.5/bnlearn/src/subsets.c                           |    2 
 bnlearn-4.5/bnlearn/src/tabu.c                              |   58 -
 bnlearn-4.5/bnlearn/src/tiers.c                             |    7 
 bnlearn-4.5/bnlearn/src/utest.c                             |   25 
 bnlearn-4.5/bnlearn/src/wishart.posterior.c                 |  296 +----
 174 files changed, 3815 insertions(+), 3670 deletions(-)

More information about bnlearn at CRAN
Permanent link


Built and running on Debian GNU/Linux using R, littler and blosxom. Styled with Bootstrap.