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 |
| 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 |
| Reference manual: | GSSE.pdf |
| 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: GSSE_0.1.tgz, r-oldrel: GSSE_0.1.tgz |
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