bru_mapper_factor: Mapper for factor variables

In inlabru: Bayesian Latent Gaussian Modelling using INLA and Extensions

Mapper for factor variables

Description

Create a factor mapper

Usage

bru_mapper_factor(values, factor_mapping, indexed = FALSE)

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

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

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

Arguments

values	Input values calculated by input_eval.bru_input()
factor_mapping	character; selects the type of factor mapping. 'contrast' for leaving out the first factor level. 'full' for keeping all levels.
indexed	logical; if TRUE, the ibm_values() method will return an integer vector instead of the factor levels. This is needed e.g. for group and replicate mappers, since INLA::f() doesn't accept factor values. Default: FALSE, which works for the main input mappers. The default mapper constructions will set it the required setting.
mapper	A mapper S3 object, inheriting from bru_mapper.
...	Arguments passed on to other methods
input	Data input for the mapper.

See Also

bru_mapper, bru_mapper_generics

Other mappers: bru_get_mapper(), bru_mapper.fm_mesh_1d(), bru_mapper.fm_mesh_2d(), bru_mapper_aggregate(), bru_mapper_collect(), bru_mapper_const(), 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_factor(factor(c("a", "b")), "full")
ibm_eval2(m, input = c("b", "a", "a", "b"), state = c(1, 3))

m <- bru_mapper_factor(factor(c("a", "b")), "contrast")
ibm_eval2(m, input = factor(c("b", "a", "a", "b")), state = 2)

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