eha: Event History Analysis

Parametric proportional hazards fitting with left truncation and right censoring for common families of distributions, piecewise constant hazards, and discrete models. Parametric accelerated failure time models for left truncated and right censored data. Proportional hazards models for tabular and register data. Sampling of risk sets in Cox regression, selections in the Lexis diagram, bootstrapping. Broström (2022) <doi:10.1201/9780429503764>.

Version: 2.11.4
Depends: R (≥ 3.5.0)
Imports: stats, graphics, survival (≥ 3.0)
Suggests: knitr, rmarkdown, bookdown
Published: 2024-03-08
DOI: 10.32614/CRAN.package.eha
Author: Göran Broström [aut, cre], Jianming Jin [ctb]
Maintainer: Göran Broström <goran.brostrom at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Citation: eha citation info
Materials: NEWS ChangeLog
In views: Survival
CRAN checks: eha results


Reference manual: eha.pdf
Vignettes: Event History and Survival Analysis
The Gompertz distribution
Parametric survival models
Proportional hazards regression with tabular data
Parametric duration models


Package source: eha_2.11.4.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): eha_2.11.4.tgz, r-oldrel (arm64): eha_2.11.4.tgz, r-release (x86_64): eha_2.11.4.tgz, r-oldrel (x86_64): eha_2.11.4.tgz
Old sources: eha archive

Reverse dependencies:

Reverse depends: EquiSurv, OrdFacReg, survsim
Reverse imports: BayesCTDesign, FamEvent, mlt.docreg, rriskDistributions, surrosurv
Reverse suggests: casebase, decisionSupport, flexsurv, rsimsum, rstpm2, simsurv, VirtualPop
Reverse enhances: memisc, stargazer, texreg


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