bm_matrix: Mapper for matrix multiplication

In inlabru: Bayesian Latent Gaussian Modelling using INLA and Extensions

Mapper for matrix multiplication

Description

Create a matrix mapper, for a given number of columns

Usage

bm_matrix(labels)

bru_mapper_matrix(...)

Arguments

labels	Column labels for matrix mappings; Can be factor, character, or a single integer specifying the number of columns for integer column indexing.
...	Arguments passed on to bm_matrix()

Value

A bm_matrix mapper object.

See Also

bru_mapper, bru_mapper_generics

Other mappers: bm_aggregate(), bm_collect(), bm_const(), bm_expr(), bm_factor(), bm_fm_mesh_1d, bm_fmesher(), bm_harmonics(), bm_index(), bm_linear(), bm_logitaverage(), bm_logsumexp(), bm_marginal(), bm_multi(), bm_pipe(), bm_reparam(), bm_repeat(), bm_scale(), bm_shift(), bm_sum(), bm_taylor(), bru_get_mapper(), bru_mapper()

Examples

m <- bm_matrix(labels = c("a", "b"))
ibm_values(m)
ibm_eval2(m, input = matrix(1:6, 3, 2), state = 2:3)

m <- bm_matrix(labels = 2L)
ibm_values(m)
ibm_eval2(m, input = matrix(1:6, 3, 2), state = 2:3)

inlabru documentation built on July 28, 2026, 9:07 a.m.