invGauss fits the (randomized drift) inverse Gaussian distribution to survival data. The model is described in Aalen OO, Borgan O, Gjessing HK. Survival and Event History Analysis. A Process Point of View. Springer, 2008. It is based on describing time to event as the barrier hitting time of a Wiener process, where drift towards the barrier has been randomized with a Gaussian distribution. The model allows covariates to influence starting values of the Wiener process and/or average drift towards a barrier, with a user-defined choice of link functions.
| Version: | 1.1 |
| Depends: | survival |
| Imports: | optimx |
| Published: | 2014-03-28 |
| Author: | Hakon K. Gjessing |
| Maintainer: | Hakon K. Gjessing <hakon.gjessing at fhi.no> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | http://www.uib.no/smis/gjessing/projects/invgauss/ |
| NeedsCompilation: | no |
| In views: | Survival |
| CRAN checks: | invGauss results |
| Reference manual: | invGauss.pdf |
| Package source: | invGauss_1.1.tar.gz |
| Windows binaries: | r-devel: invGauss_1.1.zip, r-release: invGauss_1.1.zip, r-oldrel: invGauss_1.1.zip |
| macOS binaries: | r-release: invGauss_1.1.tgz, r-oldrel: invGauss_1.1.tgz |
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