{ "_id": "6a1f060fb401979e7341bae2", "Package": "aster2", "Version": "0.3-2", "Date": "2024-09-17", "Title": "Aster Models", "Authors@R": "person(given = c(\"Charles\", \"J.\"), family = \"Geyer\",\nrole = c(\"aut\", \"cre\"), email = \"geyer@umn.edu\")", "ByteCompile": "TRUE", "Description": "Aster models are exponential family regression models for\nlife history analysis. They are like generalized linear models\nexcept that elements of the response vector can have different\nfamilies (e. g., some Bernoulli, some Poisson, some\nzero-truncated Poisson, some normal) and can be dependent, the\ndependence indicated by a graphical structure. Discrete time\nsurvival analysis, zero-inflated Poisson regression, and\ngeneralized linear models that are exponential family (e. g.,\nlogistic regression and Poisson regression with log link) are\nspecial cases. Main use is for data in which there is survival\nover discrete time periods and there is additional data about\nwhat happens conditional on survival (e. g., number of\noffspring). Uses the exponential family canonical\nparameterization (aster transform of usual parameterization).\nUnlike the aster package, this package does dependence groups\n(nodes of the graph need not be conditionally independent given\ntheir predecessor node), including multinomial and\ntwo-parameter normal as families. Thus this package also\ngeneralizes mark-capture-recapture analysis.", "License": "GPL (>= 2)", "URL": "https://www.stat.umn.edu/geyer/aster/", "NeedsCompilation": "yes", "Packaged": { "Date": "2026-05-18 07:13:12 UTC", "User": "root" }, "Author": "Charles J. Geyer [aut, cre]", "Maintainer": "Charles J. 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