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.
Version: 0.1 Depends: R (≥ 3.0.1) Imports: Iso (≥ 0.0-17), splines, stats, zoo (≥ 1.7-12) Suggests: MASS Published: 2015-10-20 DOI: 10.32614/CRAN.package.GSSE Author: Baosheng Liang, Yuanjia Wang and Donglin Zeng Maintainer: Baosheng Liang <liangbsunc at gmail.com> License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] NeedsCompilation: no In views: Survival CRAN checks: GSSE results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=GSSE to link to this page.
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