Package: stmgp 1.0.4

stmgp: 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 <doi:10.1086/519795>, Chang et al. 2015 <doi:10.1186/s13742-015-0047-8>) <https://www.cog-genomics.org/plink2> is provided. Covariates can be included in regression model.

Authors:Masao Ueki

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3 exports 0.00 score 1 dependencies 2 scripts 258 downloads

Last updated 3 years agofrom:0f4a4b282d. Checks:OK: 7. Indexed: yes.

Exports:stmgeplinkstmgpstmgplink

Dependencies:MASS