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)invGauss_1.2.zip(r-4.6)invGauss_1.2.zip(r-4.5)
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 271 downloads 1 exports 7 dependencies

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

TargetResultTimeFilesSyslog
linux-devel-x86_64OK123
source / vignettesOK183
linux-release-x86_64OK116
macos-release-arm64OK163
macos-oldrel-arm64OK172
windows-develOK77
windows-releaseOK76
windows-oldrelOK71
wasm-releaseOK94

Exports:invGauss

Dependencies:latticeMatrixnloptrnumDerivoptimxpracmasurvival