bru_mapper_fm_mesh_1d: Mapper for 'fm_mesh_1d'

In inlabru: Bayesian Latent Gaussian Modelling using INLA and Extensions

Mapper for fm_mesh_1d

Description

Create mapper for an fm_mesh_1d object

Usage

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

## 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 'inla.mesh.1d'
bru_mapper(mesh, indexed = NULL, ...)

## 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 or inla.mesh.1d object to use as a mapper
indexed	logical; If TRUE, 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). Default: NULL, to force user specification of this parameter
...	Arguments passed on to other methods
mapper	A mapper S3 object, inheriting from bru_mapper.
input	Data input for the mapper.

Functions

• bru_mapper(inla.mesh.1d): Create mapper for an inla.mesh.1d object; converts the mesh fo fm_mesh_1d first.

See Also

bru_mapper, bru_mapper_generics

Other mappers: bru_get_mapper(), bru_mapper.fm_mesh_2d(), bru_mapper_aggregate(), bru_mapper_collect(), bru_mapper_const(), bru_mapper_factor(), 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_scale(), bru_mapper_shift(), bru_mapper_taylor(), bru_mapper()

Examples

m <- bru_mapper(fm_mesh_1d(c(1:3, 5, 7)), indexed = FALSE)
ibm_values(m)
ibm_eval(m, 1:7, 1:5)
m <- bru_mapper(fm_mesh_1d(c(1:3, 5, 7)), indexed = TRUE)
ibm_values(m)
ibm_eval(m, 1:7, 1:5)

inlabru documentation built on Nov. 2, 2023, 6:07 p.m.