aster2: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).
Unlike the aster package, this package does dependence groups
(nodes of the graph need not be conditionally independent given
their predecessor node), including multinomial and
two-parameter normal as families. Thus this package also
generalizes mark-capture-recapture analysis.