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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: | 1.2 |
Depends: | survival |
Imports: | optimx |
Published: | 2022-05-20 |
DOI: | 10.32614/CRAN.package.invGauss |
Author: | Hakon K. Gjessing |
Maintainer: | Hakon K. Gjessing <hakon.gjessing at uib.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_1.2.tar.gz |
Windows binaries: | r-devel: invGauss_1.2.zip, r-release: invGauss_1.2.zip, r-oldrel: invGauss_1.2.zip |
macOS binaries: | r-release (arm64): invGauss_1.2.tgz, r-oldrel (arm64): invGauss_1.2.tgz, r-release (x86_64): invGauss_1.2.tgz, r-oldrel (x86_64): invGauss_1.2.tgz |
Old sources: | invGauss archive |
Reverse imports: | ahMLE |
Reverse suggests: | multipleOutcomes |
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