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cff-version: 1.2.0
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type: software
license: MIT
title: 'aster: Aster Models'
version: 1.1-3
doi: 10.32614/CRAN.package.aster
abstract: Aster models (Geyer, Wagenius, and Shaw, 2007, <https://doi.org/10.1093/biomet/asm030>;
  Shaw, Geyer, Wagenius, Hangelbroek, and Etterson, 2008, <https://doi.org/10.1086/588063>;
  Geyer, Ridley, Latta, Etterson, and Shaw, 2013, <https://doi.org/10.1214/13-AOAS653>)
  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, life table 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).
  There are also random effects versions of these models.
authors:
- family-names: Geyer
  given-names: Charles J.
  email: geyer@umn.edu
- email: geyer@umn.edu
repository: https://CRAN.R-project.org/package=aster
url: http://www.stat.umn.edu/geyer/aster/
date-released: '2023-12-13'
contact:
- family-names: Geyer
  given-names: Charles J.
  email: geyer@umn.edu
- email: geyer@umn.edu