Implementations must return a logical vector of TRUE/FALSE for
the subset such that, given the full A matrix and values output,
A[, subset, drop = FALSE] and values[subset]
(or values[subset, , drop = FALSE] for data.frame values) are equal
to the inla_f = TRUE version of A and values. The default method uses
the ibm_values output to construct the subset indexing.
Methods (by class)
ibm_inla_subset(default): Uses the [ibm_values()] output to construct the inla subset indexing as the difference betweeninla_f=FALSEandinla_f=TRUE. Extra arguments such asmultiare passed on to [ibm_values()]. This means it supports both regular vector values andmulti=1` data.frame values.
See also
Other mapper methods:
bru_mapper_generics,
ibm_eval(),
ibm_eval2(),
ibm_invalid_output(),
ibm_is_linear(),
ibm_jacobian(),
ibm_linear(),
ibm_n(),
ibm_n_output(),
ibm_names(),
ibm_simplify(),
ibm_values()