bru_index {inlabru} | R Documentation |
Extract predictor or component index information
Description
Extract the index vector for a
bru_obs()
predictor,
or the whole or a subset of a full bru()
predictor.
Usage
bru_index(object, ...)
## S3 method for class 'bru_obs'
bru_index(object, what = NULL, ...)
## S3 method for class 'bru'
bru_index(object, tag = NULL, what = NULL, ...)
## S3 method for class 'bru_comp'
bru_index(object, inla_f, ...)
## S3 method for class 'bru_comp_list'
bru_index(object, inla_f, ...)
## S3 method for class 'bru_model'
bru_index(object, used, ...)
index_eval(...)
Arguments
object |
A component. |
... |
Arguments passed on to sub-methods. |
what |
|
tag |
|
inla_f |
logical; when |
used |
A |
Value
-
bru_index(bru_obs)
: Aninteger
vector.
-
bru_index(bru)
: Aninteger
vector.
-
bru_index(bru_comp)
: A list of indices into the latent variables compatible with the component mapper.
-
bru_index(bru_comp_list)
: A list of list of indices into the latent variables compatible with each component mapper.
-
bru_index(bru_model)
: A named list ofidx_full
andidx_inla
, named list of indices, andinla_subset
, andinla_subset
, a named list of logical subset specifications for extracting theINLA::f()
compatible index subsets.
Methods (by class)
-
bru_index(bru_obs)
: Extract the index vector for the predictor vector for abru_obs()
sub-model. The indices are relative to the sub-model, and need to be appropriately offset to be used in the full model predictor. -
bru_index(bru)
: Extract the index vector for "APredictor" for one or more specified observationbru_obs()
sub-models. Accepts any combination oftag
andwhat
. -
bru_index(bru_model)
: Compute all index values for abru_model()
object. Computes the index value matrices for included components according to theused
argument.
Functions
Author(s)
Fabian E. Bachl bachlfab@gmail.com, Finn Lindgren finn.lindgren@gmail.com
Examples
fit <- bru(
~ 0 + x,
bru_obs(
y ~ .,
data = data.frame(x = 1:3, y = 1:3 + rnorm(3)),
tag = "A"
),
bru_obs(
y ~ .,
data = data.frame(x = 1:4, y = c(NA, NA, 3:4) + rnorm(4)),
tag = "B"
)
)
bru_index(fit)
bru_index(fit, "A")
bru_index(fit, "B")
bru_index(fit, c("B", "A"))
bru_index(fit, what = "missing")