Threshold regression that fits the (randomized drift) inverse Gaussian distribution to survival data.

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.


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Reference manual

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install.packages("invGauss")

1.1 by Hakon K. Gjessing, 7 years ago


http://www.uib.no/smis/gjessing/projects/invgauss/


Browse source code at https://github.com/cran/invGauss


Authors: Hakon K. Gjessing


Documentation:   PDF Manual  


Task views: Survival Analysis


GPL (>= 2) license


Imports optimx

Depends on survival


See at CRAN