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).


News

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("aster")

0.9.1 by Charles J. Geyer, 9 months ago


http://www.stat.umn.edu/geyer/aster/


Browse source code at https://github.com/cran/aster


Authors: Charles J. Geyer <charlie@stat.umn.edu>.


Documentation:   PDF Manual  


Task views: Survival Analysis


MIT + file LICENSE license


Imports stats

Depends on trust

Suggests numDeriv


Depended on by envlpaster, rTableICC.

Suggested by aster2.


See at CRAN