aster: Aster Models

Aster models are exponential family regression models for life history analysis. They are like generalized linear models except that elements of the response vector can have different families (e. g., some Bernoulli, some Poisson, some zero-truncated Poisson, some normal) and can be dependent, the dependence indicated by a graphical structure. Discrete time survival analysis, zero-inflated Poisson regression, and generalized linear models that are exponential family (e. g., logistic regression and Poisson regression with log link) are special cases. Main use is for data in which there is survival over discrete time periods and there is additional data about what happens conditional on survival (e. g., number of offspring). Uses the exponential family canonical parameterization (aster transform of usual parameterization).

Version: 0.8-31
Depends: R (≥ 2.10.0), trust
Imports: stats
Published: 2015-07-17
Author: Charles J. Geyer.
Maintainer: Charles J. Geyer <charlie at>
License: MIT + file LICENSE
NeedsCompilation: yes
In views: Survival
CRAN checks: aster results


Reference manual: aster.pdf
Vignettes: Random Effects Design Document
Design Document for Truncated Distributions
Aster Package Tutorial
Package source: aster_0.8-31.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X Snow Leopard binaries: r-release: aster_0.8-31.tgz, r-oldrel: aster_0.8-30.tgz
OS X Mavericks binaries: r-release: aster_0.8-31.tgz
Old sources: aster archive

Reverse dependencies:

Reverse depends: rTableICC
Reverse suggests: aster2