plot.bootVal

order

<p>Plots a grid of slices from the estimates of the repeat_cv function</p>

Main objective of a predictive model is to provide accurated predictions of a new observations.
Unfortunately we don't know how well the model performs. In addition, at the current era of omic
data where p >> n, is not reasonable applying internal validation using data-splitting. Under this
background a good method to assessing model performance is applying internal bootstrap validation
(Harrell Jr, Frank E (2015) <doi:10.1007/978-1-4757-3462-1>.) This package provides bootstrap validation
for the linear, logistic, multinomial and cox 'glmnet' models as well as lm and glm models.

Antonio Canada Martinez

plot.bootVal: Plot for repeat_cv results

Description

Usage

Arguments

Value