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invGauss

1.2Package record

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

0packages dependsuggested by 1
3.1Kdownloads / year
–test coverage
11/13flavors OK

Overview

About

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.

Install

Health

CRAN checks
2NOTE11OK
Check messages
NOTECRAN incoming feasibilityr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Maintainer: ‘Hakon K. Gjessing <hakon.gjessing@uib.no>’

No Authors@R field in DESCRIPTION.
Please add one, modifying
  Authors@R: person(given = c("Hakon", "K."),
                    family = "Gjessing",
                    role = c("aut", "cre"),
                    email = "hakon.gjessing@uib.no")
as necessary.

CRAN check page ↗

Slowest check: 1.6 min · r-oldrel-windows-x86_64
Status changes
  • NOTE11 OK, 2 NOTENow
  • NOTE12 OK, 2 NOTE2026-03-10
Advisories

none known

Documentation

In release 1.2
READMENoVignettesNoNEWSNoCitation fileNoWebsiteYes
Help pages
3
Examples that run
100%2 run in a plain check
Exported functions with examples
100%
Documented parameters
93%
Return-value docs
100%
Help pages citing references
100%

Downloads

3.1K
CRAN downloads in the past year
Rank #12,831 · ~8/day · ~258/mo
Daily download trend is not available in this view yet.
27930 days
88890 days
3.1K1 year
Compare downloads with other packages →
Also on94 r2u4 autocran129 c2d4u

Dependencies

Declared dependencies
1 external dependency (excludes base and recommended)

Installing invGauss adds 4 packages (1 with compiled code, 4.8 MB of source tarballs). Heaviest: optimx 2.2 MB, nloptr 2.1 MB, pracma 389 KB.

Depends (1)
survival
Imports (1)
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect
Suggested by 1
Suggests, most downloaded first

Datasets

People & History

People (from the free-text Author field) (1)

Maintainer since 1.1 (2014)

Releases (2)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • 1.2Latest
    record
    2022-05-20 · current release · diff ↗
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • R
    R 4.0.0 released · 2020-04-24
  • R
    R 3.6.0 released · 2019-04-26
  • R
    R 3.5.0 released · 2018-04-23
  • R
    R 3.4.0 released · 2017-04-21
  • R
    R 3.3.0 released · 2016-05-03
  • R
    R 3.2.0 released · 2015-04-16
  • R
    R 3.1.0 released · 2014-04-10
  • 1.1
    record
    2014-03-28
  • R
    R 3.0.0 released · 2013-04-03

Package metadata

First published
2014-03-28
Total releases
2 / 12 yrs
License
GPL (>= 2) OSI
Bundled data
2.9 KB / 1 file
Download size
15 KB
Appears in task views

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("invGauss")

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for invGauss version 1.2 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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