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, theibm_values()method will return an integer vector instead of the factor levels. This is needed e.g. forgroupandreplicatemappers, sinceINLA::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(),
bru_mapper.fm_mesh_1d(),
bru_mapper.fm_mesh_2d(),
bru_mapper_aggregate(),
bru_mapper_collect(),
bru_mapper_const(),
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_factor(factor(c("a", "b")), "full")
ibm_eval2(m, input = c("b", "a", "a", "b"), state = c(1, 3))
#> $offset
#> [1] 3 1 1 3
#>
#> $jacobian
#> 4 x 2 sparse Matrix of class "dgCMatrix"
#>
#> [1,] . 1
#> [2,] 1 .
#> [3,] 1 .
#> [4,] . 1
#>
m <- bru_mapper_factor(factor(c("a", "b")), "contrast")
ibm_eval2(m, input = factor(c("b", "a", "a", "b")), state = 2)
#> $offset
#> [1] 2 0 0 2
#>
#> $jacobian
#> 4 x 1 sparse Matrix of class "dgCMatrix"
#>
#> [1,] 1
#> [2,] .
#> [3,] .
#> [4,] 1
#>