This function is deprecated, use dsm_var_gam.
dsm.var.gam(
dsm.obj,
pred.data,
off.set,
seglen.varname = "Effort",
type.pred = "response"
)a model object fitted by dsm.
either: a single prediction grid or list of prediction
grids. Each grid should be a data.frame with the same columns as the
original data.
a a vector or list of vectors with as many elements as there
are in pred.data. Each vector is as long as the number of rows in the
corresponding element of pred.data. These give the area associated with
each prediction cell. If a single number is supplied it will be replicated
for the length of pred.data.
name for the column which holds the segment length
(default value "Effort").
should the predictions be on the "response" or "link"
scale? (default "response").