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 (2012) <doi:10.1201/9781315373942>.

Version:	2.10.0
Depends:	R (≥ 3.5.0)
Imports:	stats, graphics, survival (≥ 3.0)
Suggests:	knitr, rmarkdown, bookdown
Published:	2022-04-17
Author:	Göran Broström [aut, cre], Jianming Jin [ctb]
Maintainer:	Göran Broström <goran.brostrom at umu.se>
BugReports:	https://github.com/goranbrostrom/eha/issues
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL:	http://ehar.se/r/eha/
NeedsCompilation:	yes
Citation:	eha citation info
Materials:	NEWS ChangeLog
In views:	Survival
CRAN checks:	eha results

Documentation:

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

Downloads:

Package source:	eha_2.10.0.tar.gz
Windows binaries:	r-devel: eha_2.10.0.zip, r-release: eha_2.10.0.zip, r-oldrel: eha_2.10.0.zip
macOS binaries:	r-release (arm64): eha_2.10.0.tgz, r-oldrel (arm64): eha_2.10.0.tgz, r-release (x86_64): eha_2.10.0.tgz, r-oldrel (x86_64): eha_2.10.0.tgz
Old sources:	eha archive

Reverse dependencies:

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

Linking:

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