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). There are also random effects versions of these models.

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Description file content

Package
aster
Version
1.0-3
Date
2019-05-13
Title
Aster Models
Author
Charles J. Geyer
Maintainer
Charles J. Geyer
Depends
R (>= 3.0.2), trust
Imports
stats
Suggests
numDeriv
ByteCompile
TRUE
Description
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). There are also random effects versions of these models.
License
MIT + file LICENSE
URL
NeedsCompilation
yes
Packaged
2019-05-13 15:06:04 UTC; geyer
Repository
CRAN
Date/Publication
2019-05-13 19:20:03 UTC

install.packages('aster')

1.0-3

3 months ago

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

Charles J. Geyer

MIT + file LICENSE

Depends on

R (>= 3.0.2), trust

Imports

stats

Suggests

numDeriv

Discussions