Constructs a mapper that aggregates elements of the input state, so it can be used e.g. for weighted summation or integration over blocks of values.
bru_mapper_aggregate(rescale = FALSE, n_block = NULL)# S3 method for bru_mapper_aggregate
ibm_n(mapper, ..., input = NULL, state = NULL, n_state = NULL)
# S3 method for bru_mapper_aggregate
ibm_n_output(mapper, input = NULL, ...)
# S3 method for bru_mapper_aggregate
ibm_values(mapper, ..., state = NULL, n_state = NULL)
# S3 method for bru_mapper_aggregate
ibm_jacobian(mapper, input, state = NULL, ...)
# S3 method for bru_mapper_aggregate
ibm_eval(mapper, input, state = NULL, ..., sub_lin = NULL)
logical; For bru_mapper_aggregate
and bru_mapper_logsumexp
,
specifies if the blockwise sums should be normalised by the blockwise weight
sums or not:
FALSE
: (default) Straight weighted sum, no rescaling.
TRUE
: Divide by the sum of the weight values within each block.
This is useful for integration averages, when the given weights are plain
integration weights. If the weights are NULL
or all ones, this is
the same as dividing by the number of entries in each block.
Predetermined number of output blocks. If NULL
, overrides
the maximum block index in the inputs.
A mapper S3 object, inheriting from bru_mapper
.
Arguments passed on to other methods
Data input for the mapper.
A vector of latent state values for the mapping,
of length ibm_n(mapper, inla_f = FALSE)
integer giving the length of the state vector for mappers that have state dependent output size.
Internal, optional pre-computed sub-mapper information
For bru_mapper_aggregate
, input
should be a list with elements block
and weights
. block
should be a vector of the same length as the state
, or NULL
, with NULL
equivalent to all-1.
If weights
is NULL
, it's interpreted as all-1.
bru_mapper, bru_mapper_generics
Other mappers:
bru_get_mapper()
,
bru_mapper()
,
bru_mapper.fm_mesh_1d()
,
bru_mapper.fm_mesh_2d()
,
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()
m <- bru_mapper_aggregate()
ibm_eval2(m, list(block = c(1, 2, 1, 2), weights = 1:4), 11:14)
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