hhh4
ModelsThe functions documented here are considered internal,
i.e., not intended to be called by the user. They are used by
add-on packages dealing with hhh4
models.
meanHHH(theta, model, subset = model$subset, total.only = FALSE)
sizeHHH(theta, model, subset = model$subset)decompose.hhh4(x, coefs = x$coefficients, ...)
numeric vector of untransformed model parameters,
i.e., the coefficients
element of the "hhh4"
object.
the model terms as returned by the
terms
-method for "hhh4"
objects.
vector of time points for which to compute the component
means. Defaults to the fitted time range. For sizeHHH
,
subset=NULL
means to return the vector of dispersion
parameters.
logical. Should only the total mean (epidemic +
endemic) be returned in a length(subset)
x nUnit matrix?
Otherwise, a list of such matrices is returned, giving the values of
the various model components separately (as well as the total).
a fitted hhh4
model.
unused.
Michaela Paul and Sebastian Meyer
meanHHH
computes the components of the mean returned in
length(subset)
x nUnit matrices.
sizeHHH
computes the model dispersion in dnbinom
(mu
, size
) parametrization (it returns NULL
in
the Poisson case).
decompose.hhh4
decomposes the fitted mean (extracted via
meanHHH
) in an array with dimensions \((t, i, j)\), where the
first \(j\) index is "endemic"
.