Rapid and Accurate Genetic Prediction Modeling for Genome-Wide Association or Whole-Genome Sequencing Study Data

Rapidly build accurate genetic prediction models for genome-wide association or whole-genome sequencing study data by smooth-threshold multivariate genetic prediction (STMGP) method. Variable selection is performed using marginal association test p-values with an optimal p-value cutoff selected by Cp-type criterion. Quantitative and binary traits are modeled respectively via linear and logistic regression models. A function that works through PLINK software (Purcell et al. 2007 , Chang et al. 2015 ) < https://www.cog-genomics.org/plink2> is provided. Covariates can be included in regression model.


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install.packages("stmgp")

1.0 by Masao Ueki, 2 years ago


Browse source code at https://github.com/cran/stmgp


Authors: Masao Ueki


Documentation:   PDF Manual  


GPL (>= 2) license


Depends on MASS

System requirements: PLINK must be installed


See at CRAN