Mapper for fm_mesh_1d

Create mapper for an fm_mesh_1d object

Usage

# S3 method for class 'fm_mesh_1d'
bru_mapper(mesh, indexed = TRUE, ...)

# S3 method for class 'bru_mapper_fm_mesh_1d'
ibm_n(mapper, ...)

# S3 method for class 'bru_mapper_fm_mesh_1d'
ibm_values(mapper, ...)

# S3 method for class 'bru_mapper_fm_mesh_1d'
ibm_jacobian(mapper, input, ...)

# S3 method for class 'bru_mapper_inla_mesh_1d'
ibm_n(mapper, ...)

# S3 method for class 'bru_mapper_inla_mesh_1d'
ibm_values(mapper, ...)

# S3 method for class 'bru_mapper_inla_mesh_1d'
ibm_jacobian(mapper, input, ...)

Arguments

mesh

An fm_mesh_1d object to use as a mapper

indexed

logical; If TRUE (default), the ibm_values() output will be the integer indexing sequence for the latent variables (needed for spde models). If FALSE, the knot locations are returned (useful as an interpolator for rw2 models and similar).

...

Arguments passed on to other methods

mapper

A mapper S3 object, inheriting from bru_mapper.

input

Data input for the mapper.

Value

A bru_mapper_fm_mesh_1d or fm_mapper_fmesher object. The the general bru_mapper_fmesher() mapper handles all indexed fmesher objects, except that NA inputs for fm_mesh_1d requires fmesher version 0.2.0.9002 or later. The fmesher version is detected, and an appropriate mapper is created.

See also

bru_mapper, bru_mapper_generics

Other mappers: bru_get_mapper(), bru_mapper(), bru_mapper.fm_mesh_2d(), bru_mapper_aggregate(), bru_mapper_collect(), bru_mapper_const(), bru_mapper_factor(), bru_mapper_fmesher(), bru_mapper_generics, bru_mapper_harmonics(), bru_mapper_index(), bru_mapper_linear(), bru_mapper_logsumexp(), bru_mapper_marginal(), bru_mapper_matrix(), bru_mapper_mesh_B(), bru_mapper_multi(), bru_mapper_pipe(), bru_mapper_repeat(), bru_mapper_scale(), bru_mapper_shift(), bru_mapper_sum(), bru_mapper_taylor()

Examples

m <- bru_mapper(fm_mesh_1d(c(1:3, 5, 7)))
ibm_values(m)
#> [1] 1 2 3 4 5
ibm_eval(m, 1:7, 1:5)
#> [1] 1.0 2.0 3.0 3.5 4.0 4.5 5.0
m <- bru_mapper(fm_mesh_1d(c(1:3, 5, 7)), indexed = FALSE)
ibm_values(m)
#> [1] 1 2 3 5 7
ibm_eval(m, 1:7, 1:5)
#> [1] 1.0 2.0 3.0 3.5 4.0 4.5 5.0