We propose a fully efficient sieve maximum likelihood method to estimate genotype-specific distribution of time-to-event outcomes under a nonparametric model. We can handle missing genotypes in pedigrees. We estimate the time-dependent hazard ratio between two genetic mutation groups using B-splines, while applying nonparametric maximum likelihood estimation to the reference baseline hazard function. The estimators are calculated via an expectation-maximization algorithm.

Documentation

Manual: GSSE.pdf
Vignette: None available.

Maintainer: Baosheng Liang <liangbsunc at gmail.com>

Author(s): Baosheng Liang, Yuanjia Wang and Donglin Zeng

Install package and any missing dependencies by running this line in your R console:

install.packages("GSSE")

Depends R(>= 3.0.1)
Imports Iso(>=0.0-17), splines, stats, zoo(>=1.7-12)
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Package GSSE
Materials
URL
Task Views Survival
Version 0.1
Published 2015-10-20
License GPL (>= 2)
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NeedsCompilation no
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Package source GSSE_0.1.tar.gz