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
Browse package contents
Package details |
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| Maintainer | |
| License | MIT + file LICENSE |
| Version | 0.1.0 |
| URL | https://github.com/benkeser/cvma |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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