LKM_Null_Model

A vector of quantitative trait in the analysis (class: vector). The order should match the vector yid. No missing.

phenotype

A vector of time points (class: vector). The order should match the vector yid. No missing.

time

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 time points for one subject. Make sure it is not a factor. No missing.

A matrix of covariates (class: data.frame). The order of rows should match the vector yid. Default NULL. No missing.

covariates

This function (LKM) is used to perform Kernel Machine analysis (Yan et al., 2016) for quantitative traits in GWAS longitudinal data. 
# It considers random intercept and random time

Gene based association test between a group of SNPs and traits
including familial (both continuous and binary) traits, multivariate
continuous (both independent and familial) traits and longitudinal
continuous traits. Part of methods were previously published in Maity et al
(2012) <doi:10.1002/gepi.21663>, Chen et al (2013)
<doi:10.1002/gepi.21703>, Yan et al (2015) <doi:10.1159/000375409>, Yan et
al (2015) <doi:10.1534/genetics.115.178590> and Yan et al (2015)
<doi:10.1159/000445057>.

LKM_Null_Model: KM for Quantitative Traits in Longitudinal GWAS Data (fit null model)

Description

Usage

Arguments

Value