Description Details Testing for homogeneity in generalized exponential titl mixture model Author(s) References
The package robustETM consists of the functions to perform pseudolikelihood based EM test for homogeneity in generalized exponential tilt mixture models.
Package: | robustETM |
Type: | robustETM |
Version: | 1.0 |
Date: | 2016-03-27 |
License: GPL>=2 | |
Motivated by analyses of DNA methylation data, we propose a semiparametric mixture model, namely the generalized exponential tilt mixture model,
to account for heterogeneity between differentially methylated and non-differentially methylated subjects in the cancer group, and capture the
differences in higher order moments (e.g. mean and variance) between subjects
in cancer and normal groups. A pairwise pseudolikelihood is constructed
to eliminate the unknown nuisance function. To circumvent boundary and
non-identifiability problems as in parametric mixture models, we modify the
pseudolikelihood by adding a penalty function. In addition, test with simple
asymptotic distribution has computational advantages over permutational
test for high-dimensional genetic and epigenetic data. We propose a pseudolikelihood
based expectation-maximization test, and show the proposed test
follows a simple chi-squared limiting distribution.
The methods contains in function sim are:
The proposed PLEMT test (pseudolikelihood based EM test)
The t-test
The modified empirical likelihood ratio test
The empirical likelihood ratio test
The logistic regression test
The Wilcoxon test
The F test
The KS test
Chuan Hong
Yong Chen
Yang Ning
Hao Wu
Maintainer: Chuan Hong <hong.chuan.hannah@gmail.com>
Hong, C., Chen Y., Ning Y., Wang S., Wu H. and Carroll R.J. (2016). PLEMT: A novel pseudolikelihood based EM test for homogeneity in generalized exponential tilt mixture model (in preparation).
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