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.


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install.packages("gencve")

0.3 by A. I. McLeod, 3 years ago


http://www.stats.uwo.ca/faculty/aim


Browse source code at https://github.com/cran/gencve


Authors: A. I McLeod


Documentation:   PDF Manual  


GPL (>= 2) license


Imports lars, glmnet, plus, C50, randomForest, e1071, rpart, MASS, class, nnet


See at CRAN