Title: HTML Writer - Outputs R objects in HTML format
Packaged: Sat Jul  5 17:15:57 2008; gpau

Packaged: Thu Oct  2 16:05:50 2008; gpau

Packaged: Sun Feb  8 11:45:58 2009; greg

Packaged: Tue Mar  3 13:29:23 2009; greg

Description: Easy-to-use and versatile functions to output R objects in

X-CRAN-Comment: Orphaned on 2014-08-23 as maintainer address

Title: HTML Writer - Outputs R Objects in HTML Format

Title: hwriterPlus: Extending the hwriter Package
Depends: R (>= 2.10.0), hwriter, TeachingDemos, RUnit
Description: This package extends the package hwriter providing
facilities such as the inclusion of output from R, the results
of an R session, the display of mathematical expressions using
LaTeX notation and the incorporation of SVG graphical objects.
It uses MathJax to display mathematical expressions, in

facilities such as the inclusion of output from R, the
results of an R session, the display of mathematical
expressions using LaTeX notation and the incorporation of
SVG graphical objects.  It uses MathJax to display
mathematical expressions, in contrast to R2HTML which

Title: Interface to the 'HWSD' Web Services
Description: Programmatic interface to the Harmonized World Soil Database
Allows for easy downloads of 'HWSD' soil data directly to your R workspace
or your computer. Routines for both single pixel data downloads and
Suggests: rgdal, ncdf4, magrittr, knitr, markdown, rmarkdown, covr,

Title: Tests of White Noise using Wavelets
Description: Provides methods to test whether time series is consistent

Title: 'testthat' Unit Test Enhancements
person("Claudia",   "Beleites",  role = c("aut","cre"), email = "Claudia.Beleites@chemometrix.gmbh"),
person("Erick",     "Oduniyi",   role = "aut",          email = "eeoduniyi@gmail.com"))
Description: Enhance package 'testthat' by allowing tests to be attached to the function/object they test.
This allows to keep functional and unit test code together.
Collate: 'test.R' 'gettest.R' 'test-fun.R' 'unittest.R'

Title: Build, deploy and evaluate a Hybrid Ensemble
Author: Michel Ballings, Dauwe Vercamer, and Dirk Van den Poel
Description: This package contains functions to build and deploy an ensemble
consisting of six different sub-ensembles: Bagged Logistic Regressions,
Random Forest, Stochastic AdaBoost, Kernel Factory, Bagged Neural Networks,
Bagged Support Vector Machines. Functions to cross-validate the Hybrid
Ensemble and plot and summarize the results are also provided. There is
also a function to assess the importance of the predictors.