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 zerotruncated Poisson, some normal) and can be dependent, the dependence indicated by a graphical structure. Discrete time survival analysis, zeroinflated 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 twoparameter normal as families. Thus this package also generalizes markcapturerecapture analysis.
Package details 


Author  Charles J. Geyer <charlie@stat.umn.edu>. 
Date of publication  20170326 21:30:45 UTC 
Maintainer  Charles J. Geyer <charlie@stat.umn.edu> 
License  GPL (>= 2) 
Version  0.3 
URL  http://www.stat.umn.edu/geyer/aster/ 
Package repository  View on CRAN 
Installation 
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