alexpkeil1/SLmix: Extensions of Bayesian Kernel Machine Regression and Weighted Quantile Sums for prediction and integration with SuperLearner package
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.
Getting started
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Package details |
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| Author | Alex Keil |
| Maintainer | Alex Keil <akeil@unc.edu> |
| License | Released under the GNU General Public License: http://www.gnu.org/copyleft/gpl.html |
| Version | 1.0 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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