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

Documentation:

Reference manual:

GSSE.html , GSSE.pdf

Downloads:

Package source:	GSSE_0.1.tar.gz
Windows binaries:	r-devel: GSSE_0.1.zip, r-release: GSSE_0.1.zip, r-oldrel: GSSE_0.1.zip
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

Linking:

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