Author: John Ruscio <ruscio@tcnj.edu> and Shirley Wang <shirleywang@g.harvard.edu>
Packaged: 2020-08-24 17:56:48 UTC; shirleywang

Packaged: 2020-11-01 03:31:31 UTC; shirleywang

Packaged: 2021-01-14 15:19:21 UTC; shirleywang

Description: We provide functions to perform taxometric analyses. This package contains 46 functions, but only 5 should be called directly by users. CheckData() should be run prior to any taxometric analysis to ensure that the data are appropriate for taxometric analysis. RunTaxometrics() performs taxometric analyses for a sample of data. RunCCFIProfile() performs a series of taxometric analyses to generate a CCFI profile. CreateData() generates a sample of categorical or dimensional data. ClassifyCases() assigns cases to groups using the base-rate classification method.
Packaged: 2021-03-20 21:36:40 UTC; shirleywang

Title: A XML-Based Testing Framework for Automated Component Tests of R
person("Sebastian", "Wolf", , "sebastian.wolf.sw1@roche.com", role = c("aut","cre")),
person("Matthias", "Pfeifer", , "matthias.pfeifer@roche.com", role = c("aut", "ctb")),
person("Sergej", "Potapov", , "sergej.potapov@roche.com", role = c("ctb")),
Depends: R (>= 3.1.3), testthat (>= 1.0.0), methods
Description: This provides a framework for R packages developed for
a regulatory environment. It is based on the 'testthat' unit testing system and provides the adapter
functionalities for XML-based test case definition as well as for standardized
Collate: RTest-package.R utils.R utils.test.R utils.xmlRead.R
SystemRequirements: ImageMagick++: ImageMagick-c++-devel (rpm) or

Depends: R (>= 3.1.3), testthat (>= 1.0.0), methods, XML, stringr

person("Sebastian", "Wolf", , "sebastian@mail-wolf.de", role = c("aut","cre")),
person("Matthias", "Pfeifer", , "matthiaspfeifer@gmx.net", role = c("aut", "ctb")),

Collate: RTest-package.R utils.R utils.examples.R utils.test.R

Imports: base64, jsonlite, rlang, glue, magrittr, stringr, tcltk

Imports: base64, jsonlite, rlang, glue, magrittr, stringr

Package: RTextTools
Type: Package
Title: Automatic Text Classification via Supervised Learning
Version: 1.2
Date: 2011-08-12
Author: Timothy P. Jurka, Loren Collingwood, Amber E. Boydstun,
Emiliano Grossman, Wouter van Atteveldt
Maintainer: Timothy P. Jurka <tpjurka@ucdavis.edu>
Depends: R (>= 2.13.0), methods, SparseM, randomForest, tree, nnet, tm,
e1071, Rstem, ipred, caTools, maxent, RODBC, glmnet
Description: RTextTools is a machine learning package for automatic
text classification that makes it simple for novice users to
get started with machine learning, while allowing experienced
users to easily experiment with different settings and
algorithm combinations. The package includes nine algorithms
for ensemble classification (SVM, SLDA, BOOSTING, BAGGING, RF,
GLMNET, TREE, NNET, MAXENT), comprehensive analytics, and
thorough documentation.
License: GPL-3
URL: http://www.rtexttools.com/
LazyLoad: yes
Packaged: 2011-08-15 15:30:25 UTC; timjurka
Repository: CRAN
Date/Publication: 2011-08-16 07:53:12