eha (2.4-3)

Event History Analysis.

Sampling of risk sets in Cox regression, selections in the Lexis diagram, bootstrapping. Parametric proportional hazards fitting with left truncation and right censoring for common families of distributions, piecewise constant hazards, and discrete models. AFT regression for left truncated and right censored data. Binary and Poisson regression for clustered data, fixed and random effects with bootstrapping.

Maintainer: Göran Broström
Author(s): Gran Brostrm [aut, cre]

License: GPL (>= 2)

Uses: survival
Reverse depends: complex.surv.dat.sim, OrdFacReg, rriskDistributions, survsim
Reverse suggests: casebase, decisionSupport, flexsurv, mlt.docreg, rsimsum, rstpm2, simsurv
Reverse enhances: memisc, stargazer, texreg

Released over 4 years ago.