For dispersion parameter Gamma
means that random effects are distributed as shape=
1/
The two-parameter inverse Gamma distribution is the distribution of the reciprocal of a variable distributed according to the Gamma distribution Gamma with the same shape and scale parameters. inverse.Gamma
implements the one-parameter inverse Gamma family with shape=1+1/"-1/mu"
, in which case v=-1/u
is “-Gamma”-distributed with the same shape and rate, hence with mean Gamma
. The other possible link is v=log(u)
in which case
inverse.Gamma(link = "-1/mu")
# Gamma(link = "inverse") using stats::Gamma
For Gamma
, allowed links are log
and identity
(the default link from Gamma
, "inverse"
, cannot be used for the random effect specification). For inverse.Gamma
, allowed links are "-1/mu"
(default) and log
.
# NOT RUN {
# see help("HLfit") for fits using the inverse.Gamma distribution.
# }
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