lbrat_simu: Simulation for LBRAT test

In ZWang-Lab/LBRAT: Retrospective Association Testing for Longitudinal Binary Outcomes

Description

This function use pre-defined parameters to make the simulation data for the LBRAT test (including type I and power test)

Usage

lbrat_simu(n.sample = 1000, n.time = 5, par = list(),
  time_cov = TRUE, snp.count = 1000, intercept = TRUE,
  disease.para = list(), onlypower = FALSE, phe.model = "logistic",
  oversampling = "random")

Arguments

n.sample	Numeric, sample size, number of individuals
n.time	Numeric, number of measurements for each individual
par	List, the parameters for the phenotype traits, including covaraites and individual specific time dependent random effects
time_cov	Logical variable, indicating whether time effect is included in phenotypic traits
snp.count	Numeric, number of SNPs
intercept	Logical variable, indicating whether intercept is used in phenotypic traits
disease.para	List, the parameters for disease allele and its effect size for power simulation
onlypower	Logical variable, indicating whether include disease SNPs in the generated SNPs
phe.model	String, the phenotype model, two optional values: 'logistic', 'liability'
oversampling	String, the ascertainment scheme, three optional value: 'random', 'baseline', 'sum'

Value

A list object is returned to be used as object for LBRAT test

ZWang-Lab/LBRAT documentation built on March 12, 2020, 7:26 p.m.