SLmix-package: SLMix package \packagetitle SLMix packageSLmix

In alexpkeil1/SLmix: Extensions of Bayesian Kernel Machine Regression and Weighted Quantile Sums for prediction and integration with SuperLearner package

Description

Includes functions ml.gwqs and ml.wqs.est which perform (general) weighted quantile sums based on the package defaults of 'wqs' and 'gWQS', but which additionally allow prediction using novel data. Also includes functions SL.bkmr, SL.gwqs, and SL.wqs which are wrappers for kmbayes (BKMR package), ml.gwqs and ml.wqs.est for use the R SuperLearner package.

Details

The DESCRIPTION file: This package was not yet installed at build time.

Index: This package was not yet installed at build time.
~~ An overview of how to use the package, including the most important functions ~~

Author(s)

Alex Keil

Maintainer: Alex Keil <[e-mail]>

References

~~ Literature or other references for background information ~~

See Also

~~ Optional links to other man pages, e.g. ~~ ~~ <pkg> ~~

Examples

~~ simple examples of the most important functions ~~

alexpkeil1/SLmix documentation built on Aug. 15, 2020, 9:10 a.m.