PLEMT: Pseudolikelihood based EM test (PLEMT)

In ChuanHong/robustETM_0.1: Robust tests for exponential tilt models

Description

Conducts the pseudolikelihood based EM test for homogeneity in generalized exponential tilt mixture models.

Usage

PLEMT(Y1, Y2, cc = 2, niter = 3, distn = c("beta", "norm", "gamma", "mixture"))

Arguments

Y1	the vector of methylation beta values in the case group for one marker
Y2	the vector of methylation beta values in the control group for one marker
cc	the penalty for the modified pseudolikelihood
niter	the number iterations for the EM algorithm
distn	name of the distribution for the methylation beta values

Author(s)

Chuan Hong, Yong Chen, Yang Ning, Hao Wu

References

Submitted to Biometrics

PLEMT: A Novel Pseudolikelihood Based EM Test for Homogeneity in Generalized Exponential Tilt Mixture Models

Examples

data(pseudo_dat)
myresult=PLEMT(dat.case[c(1:2),], dat.ctrl[c(1:2),], cc=2, niter=3, distn="beta")

ChuanHong/robustETM_0.1 documentation built on May 6, 2019, 11:49 a.m.