GSSE: Genotype-Specific Survival Estimation

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>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
In views: Survival
CRAN checks: GSSE results


Reference manual: GSSE.pdf


Package source: GSSE_0.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): GSSE_0.1.tgz, r-oldrel (arm64): GSSE_0.1.tgz, r-release (x86_64): GSSE_0.1.tgz, r-oldrel (x86_64): GSSE_0.1.tgz


Please use the canonical form to link to this page.