The package offers a fitting of smooth varying coefficients in a competing risks modelling of hazards as well as estimating of the frailties (or unobserved heterogenities) for clustered observations. Nonparametric penalized spline (p-spline) fitting of smooth covariates effects is proposed. As a spline basis truncated polynomial functions are chosen. The frailties are also fitted (via the EM-algoritghm) in a flexible way using a penalizied mixture of gamma distributions.
| Version: | 2.0 |
| Author: | Pavel Khomski |
| Maintainer: | Pavel Khomski <pkhomski at web.de> |
| License: | GPL (≥ 2) |
| In views: | Survival |
| CRAN checks: | CompetingRiskFrailty results |
Downloads:
| Package source: | CompetingRiskFrailty_2.0.tar.gz |
| MacOS X binary: | CompetingRiskFrailty_2.0.tgz |
| Windows binary: | CompetingRiskFrailty_2.0.zip |
| Reference manual: | CompetingRiskFrailty.pdf |
| Old sources: | CompetingRiskFrailty archive |