benkeser/cvma: Cross-validation-based maximal association

Estimates of association of a set of covariates with a multivariate outcome. Nested cross-validation is used to fit super learners for each component of the outcome, and to determine a composite outcomes that maximizes the fit of the super learner. Finally, an outer layer of cross-validation is used to accurately assess an association of the super learner with the optimized composite outcome.

Getting started

Package details

Maintainer
LicenseMIT + file LICENSE
Version0.1.0
URL https://github.com/benkeser/cvma
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("benkeser/cvma")
benkeser/cvma documentation built on Oct. 8, 2018, 7 a.m.