stacking - Building Predictive Models with Stacking
Building predictive models with stacking which is a type of ensemble learning. Learners can be specified from those implemented in 'caret'. For more information of the package, see Nukui and Onogi (2023) <doi:10.1101/2023.06.06.543970>. Packages caret, parallel, snow, and packages for base and meta learners should be installed.
Last updated 3 months ago
3.30 score 4 stars 3 scripts 224 downloadsVIGoR - Variational Bayesian Inference for Genome-Wide Regression
Conducts linear regression using variational Bayesian inference, particularly optimized for genome-wide association mapping and whole-genome prediction which use a number of DNA markers as the explanatory variables. Provides seven regression models which select the important variables (i.e., the variables related to response variables) among the given explanatory variables in different ways (i.e., model structures).
Last updated 3 months ago
3.30 score 1 stars 7 scripts 280 downloads