stmgp (1.0.2)

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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 ) is provided. Covariates can be included in regression model.

Maintainer: Masao Ueki
Author(s): Masao Ueki

License: GPL (>= 2)

Uses: MASS

Released 23 days ago.

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