MKMO_Null_Model: Optimal KM for Multiple Quantitative Traits in GWAS Data (fit...

In KMgene: Gene-Based Association Analysis for Complex Traits

Description

This function (MKMO) is used to perform optimal KM analysis for multiple (two) quantitative traits in GWAS data.
# It considers variances of trait 1 and 2, and covariance between trait 1 and 2

Usage

MKMO_Null_Model(phenotype, trait, yid, covariates = NULL, eq.cov.effect = F)

Arguments

phenotype	A vector of quantitative trait in the analysis (class: vector). The order should match the vector yid. No missing.
trait	A vector of multivariate traits (class: vector). The order should match the vector yid. No missing.
yid	A vector of id (class: vector). Although it doesn't have to be sorted, observations from the same subject have to be connected with each other. The repeated id numbers indicate multiple traits for one subject. Make sure it is not a factor. No missing.
covariates	A matrix of covariates (class: data.frame). The order of rows should match the vector yid. Default NULL. No missing.
eq.cov.effect	Whether assume equal covariates effects on different traits (Default=False).

Value

output: object as input for MKMO

KMgene documentation built on July 8, 2020, 6:09 p.m.