astertransform
(Package: aster) :
Transform between Aster Model Parameterizations
Transform between different parameterizations of the aster model. In effect, this function is called inside predict.aster. Users generally do not need to call it directly.
Random generation for the k-truncated Poisson distribution or for the k-truncated negative binomial distribution, where “k-truncated” means conditioned on being strictly greater than k. If xpred is not one, then the random variate is the sum of xpred such random variates.
● Data Source:
CranContrib
● Keywords: distribution
● Alias: rktnb, rktp, rnzp, truncated
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families
(Package: aster) :
Families for Aster Models
Families (response models) known to the package. These functions construct simple family specifications used in specifying models for aster and mlogl. They are mostly for convenience, since the specifications are easy to construct by hand.
quickle
(Package: aster) :
Penalized Quasi-Likelihood for Aster Models
Evaluates the objective function for approximate maximum likelihood for an aster model with random effects. Uses Laplace approximation to integrate out the random effects analytically. The “quasi” in the title is a misnomer in the context of aster models but the acronym PQL for this procedure is well-established in the generalized linear mixed models literature.
penmlogl
(Package: aster) :
Penalized Minus Log Likelihood for Aster Models
Penalized minus log likelihood for an aster model, and its first and second derivative. The penalization allows for (approximate) random effects. These functions are called inside pickle, pickle1, pickle2, pickle3, and reaster.
mlogl
(Package: aster) :
Minus Log Likelihood for Aster Models
Minus the Log Likelihood for an Aster model, and its first and second derivative. This function is called inside aster. Users generally do not need to call it directly.
pickle
(Package: aster) :
Penalized Quasi-Likelihood for Aster Models
Evaluates an approximation to minus the log likelihood for an aster model with random effects. Uses Laplace approximation to integrate out the random effects analytically. The “quasi” in the title is a misnomer in the context of aster models but the acronym PQL for this procedure is well-established in the generalized linear mixed models literature.
newpickle
(Package: aster) :
Penalized Quasi-Likelihood for Aster Models
Evaluates the objective function for approximate maximum likelihood for an aster model with random effects. Uses Laplace approximation to integrate out the random effects analytically. The “quasi” in the title is a misnomer in the context of aster models but the acronym PQL for this procedure is well-established in the generalized linear mixed models literature.
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