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Overview

Include functions to rapidly build accurate genetic prediction models for genome-wide association or whole-genome sequencing study data by smooth-threshold multivariate genetic prediction (STMGP) method.

Installation

To install: install.packages("stmgp")

References

Ueki M, Tamiya G, and for Alzheimer's Disease Neuroimaging Initiative. (2016) Smooth-thresholdmultivariate genetic prediction with unbiased model selection. Genet Epidemiol 40:233-43. https://doi.org/10.1002/gepi.21958 Ueki M. (2009) A note on automatic variable selection using smooth-threshold estimating equations. Biometrika 96:1005-11. https://doi.org/10.1093/biomet/asp060

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Version

Install

install.packages('stmgp')

Monthly Downloads

256

Version

1.0.4.1

License

GPL (>= 2)

Maintainer

Masao Ueki

Last Published

February 12th, 2025

Functions in stmgp (1.0.4.1)

stmgeplink

Smooth-threshold multivariate genetic prediction (incorporating gene-environment interactions) for genome-wide association or whole-genome sequencing data in PLINK format
lapprox

Compute lapprox
stmgplink

Smooth-threshold multivariate genetic prediction for genome-wide association or whole-genome sequencing data in PLINK format
stmgp

Smooth-threshold multivariate genetic prediction
stmgp-package

tools:::Rd_package_title("stmgp")