This auxiliary function defines model options for
pois.krige.bayes
and binom.krige.bayes
.
model.glm.control(trend.d = "cte", trend.l = "cte", cov.model = "matern",
kappa = 0.5, aniso.pars = NULL, lambda = 0)
specifies the covariate values at the data
locations.
See documentation of trend.spatial
for
further details. Default is trend.d="cte"
.
specifies the covariate values at prediction
locations. It must be of the same type as for trend.d
.
Only used if prediction locations are provided in the argument
locations
.
string indicating the name of the model for the
correlation function. Further details in the
documentation for cov.spatial
.
additional smoothness parameter required by the following correlation
functions: "matern"
, "powered.exponential"
, "gneiting.matern"
and "cauchy"
.
parameters for geometric anisotropy
correction. If aniso.pars = NULL
no correction is made, otherwise
a two elements vector with values for the anisotropy parameters
must be provided. Anisotropy correction consists of a
transformation of the data and prediction coordinates performed
by the function coords.aniso
.
parameter controlling the link function for
pois.krige.bayes
. lambda = 0
is the default, which corresponds to a log link.
Other values gives a link function from the Box-Cox class.
A list with processed arguments to be passed to the main function.