gencve: General Cross Validation Engine

Engines for cross-validation of many types of regression and class prediction models are provided. These engines include built-in support for 'glmnet', 'lars', 'plus', 'MASS', 'rpart', 'C50' and 'randomforest'. It is easy for the user to add other regression or classification algorithms. The 'parallel' package is used to improve speed. Several data generation algorithms for problems in regression and classification are provided.

Package details

AuthorA. I McLeod
MaintainerA. I. McLeod <[email protected]>
LicenseGPL (>= 2)
Version0.3
URL http://www.stats.uwo.ca/faculty/aim
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("gencve")

Try the gencve package in your browser

Any scripts or data that you put into this service are public.

gencve documentation built on May 29, 2017, 7:12 p.m.