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

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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.

Author
Hakon K. Gjessing
Date of publication
2014-03-28 14:06:47
Maintainer
Hakon K. Gjessing <hakon.gjessing@fhi.no>
License
GPL (>= 2)
Version
1.1
URLs

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Man pages

d.oropha.rec
Carcinoma of the oropharynx
invGauss
Threshold regression that fits the (randomized drift) inverse...
summary.invGauss
Summarize the estimation result from invGauss

Files in this package

invGauss
invGauss/NAMESPACE
invGauss/data
invGauss/data/d.oropha.rec.rda
invGauss/R
invGauss/R/f.grovest3.R
invGauss/R/f.B.R
invGauss/R/summary.invGauss.R
invGauss/R/print.summary.invGauss.R
invGauss/R/invGauss.R
invGauss/R/f.B.neglog.deriv.R
invGauss/R/f.fb.R
invGauss/R/predict.invGauss.R
invGauss/R/f.fb.neglog.deriv.R
invGauss/R/print.invGauss.R
invGauss/MD5
invGauss/DESCRIPTION
invGauss/man
invGauss/man/d.oropha.rec.Rd
invGauss/man/summary.invGauss.Rd
invGauss/man/invGauss.Rd