PLEMT: Pseudolikelihood based EM test (PLEMT)

Description Usage Arguments Author(s) References Examples

View source: R/PLEMT.R

Description

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

Usage

1
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

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

ChuanHong/robustETM_2.0 documentation built on June 2, 2017, 1:18 a.m.