aster (0.9.1)
Aster Models.
http://www.stat.umn.edu/geyer/aster/
http://cran.rproject.org/web/packages/aster
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).
Maintainer:
Charles J. Geyer
Author(s): Charles J. Geyer <charlie@stat.umn.edu>.
License: MIT + file LICENSE
Uses: trust, numDeriv
Reverse depends: envlpaster, rTableICC
Reverse suggests: aster2
Released 4 months ago.
12 previous versions
 aster_0.9. Released 5 months ago.
 aster_0.831. Released about 2 years ago.
 aster_0.830. Released about 3 years ago.
 aster_0.827. Released about 4 years ago.
 aster_0.823. Released about 4 years ago.
 aster_0.821. Released over 4 years ago.
 aster_0.820. Released almost 5 years ago.
 aster_0.819. Released almost 5 years ago.
 aster_0.78. Released over 5 years ago.
 aster_0.77. Released over 8 years ago.
 aster_0.75. Released about 9 years ago.
 aster_0.73. Released almost 10 years ago.
Ratings
Overall: 

Documentation: 

Log in to vote.
Reviews
No one has written a review of aster yet. Want to be the first? Write one now.
Related packages: BMA, BayHaz, DAAG, DPpackage, Epi, ICE, KMsurv, LearnBayes, LogicReg, MCMCpack, MLEcens, NADA, NestedCohort, SMPracticals, VGAM, bayesSurv, boot, clinfun, cmprsk, coin … (20 best matches, based on common tags.)
Search for aster on google, google scholar, rhelp, rdevel.
Visit aster on R Graphical Manual.