Package: invGauss 1.2

invGauss: Threshold Regression that Fits the (Randomized Drift) Inverse Gaussian Distribution to Survival Data

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.

Authors:Hakon K. Gjessing

invGauss_1.2.tar.gz
invGauss_1.2.zip(r-4.7-any)invGauss_1.2.zip(r-4.6-any)invGauss_1.2.zip(r-4.5-any)
invGauss_1.2.tgz(r-4.6-any)invGauss_1.2.tgz(r-4.5-any)
invGauss_1.2.tar.gz(r-4.7-any)invGauss_1.2.tar.gz(r-4.6-any)
invGauss_1.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
invGauss/json (API)

# Install 'invGauss' in R:
install.packages('invGauss', repos = c('https://hkgjess.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 5 scripts 332 downloads 1 exports 7 dependencies

Last updated from:d45775d995. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK182
source / vignettesOK185
linux-releaseOK110
macos-releaseOK191
macos-oldrelOK138
windows-develOK77
windows-releaseOK71
windows-oldrelOK68
wasm-releaseOK74

Exports:invGauss

Dependencies:latticeMatrixnloptrnumDerivoptimxpracmasurvival