bru_options | R Documentation |
Create a new options object, or merge information from several objects.
The _get
, _set
, and _reset
functions operate on a global
package options override object. In many cases, setting options in
specific calls to bru()
is recommended instead.
bru_options(...)
as.bru_options(x = NULL)
bru_options_default()
bru_options_check(options, ignore_null = TRUE)
bru_options_get(name = NULL, include_default = TRUE)
bru_options_set(..., .reset = FALSE)
bru_options_reset()
... |
A collection of named options, optionally including one or more
|
x |
An object to be converted to an |
options |
An |
ignore_null |
Ignore missing or NULL options. |
name |
Either |
include_default |
logical; If |
.reset |
For |
bru_options()
returns a bru_options
object.
For as.bru_options()
, NULL
or no input returns an empty
bru_options
object, a list
is converted via bru_options(...)
,
and bru_options
input is passed through. Other types of input generates
an error.
bru_options_default()
returns an bru_options
object containing
default options.
bru_options_check()
returns a logical
; TRUE
if the object
contains valid options for use by other functions
bru_options_get
returns either an bru_options
object, for
name == NULL
, the contents of single option, if name
is a options name
string, or a named list of option contents, if name
is a list of option
name strings.
bru_options_set()
returns a copy of the global override options,
invisibly (as bru_options_get(include_default = FALSE)
).
as.bru_options()
: Coerces inputs to a bru_options
object.
bru_options_default()
: Returns the default options.
bru_options_check()
: Checks for valid contents of a bru_options
object, and produces warnings for invalid options.
bru_options_get()
: Used to access global package options.
bru_options_set()
: Used to set global package options.
bru_options_reset()
: Clears the global option overrides.
For bru_options
and bru_options_set
, recognised options are:
logical or numeric; if TRUE
, log messages of verbosity
\le 1
are printed by bru_log_message()
. If numeric, log messages
of
verbosity \le
bru_verbose
are printed.
For line search details, set bru_verbose=2
or 3
.
Default: 0, to not print any messages
logical or numeric; if TRUE
, log messages of
verbosity
\le 1
are stored by bru_log_message()
. If numeric,
log messages of verbosity \le
are stored. Default: Inf, to store all
messages.
If TRUE, run inference. Otherwise only return configuration needed to run inference.
maximum number of inla iterations, default 10.
Also see the bru_method$rel_tol
and related options below.
An inla
object returned from previous calls of
INLA::inla
, bru()
or lgcp()
, or a list of named vectors of starting
values for the latent variables. This will be used as a
starting point for further improvement of the approximate posterior.
List of arguments passed all the way to the
integration method ipoints
and int.polygon
for 'cp' family models;
"stable" or "direct". For "stable" (default) integration points are aggregated to mesh vertices.
Number of integration points per knot interval in 1D. Default 30.
Number of integration points along a triangle edge for 2D. Default 9.
Deprecated parameter that overrides nsub1
and nsub2
if set.
Default NULL
.
List of arguments controlling the iterative inlabru method:
'pandemic' (default, from version 2.1.15).
Either 'all' (default), to use all available line search methods, or one or more of
(reduce step size until predictor is finite)
(decrease step size until trust hypersphere reached)
(increase step size until no improvement)
(fast approximate error norm minimisation)
To disable line search, set to an empty vector. Line search is not
available for taylor="legacy"
.
Numeric, > 1
determining the line search step scaling
multiplier. Default (1 + \sqrt{5})/2
.
Stop the iterations when the largest change in linearisation
point
(the conditional latent state mode) in relation to the estimated posterior
standard deviation is less than rel_tol
. Default 0.1 (ten percent).
The largest allowed line search step factor. Factor 1 is the full INLA step. Default is 2.
Which method to use for the line search optimisation step. Default "onestep", using a quadratic approximation based on the value and gradient at zero, and the value at the current best step length guess. The method "full" does line optimisation on the full nonlinear predictor; this is slow and intended for debugging purposes only.
logical; when TRUE
, compress the
\sum_{i=1}^n \eta_i
part of the Poisson process likelihood (family="cp"
) into a single term,
with y=n
, and predictor mean(eta)
. Default: TRUE
logical; when TRUE
, activate temporary debug features for
package development. Default: FALSE
inla()
optionsAll options not starting with bru_
are passed on to inla()
, sometimes
after altering according to the needs of the inlabru method.
Warning:
Due to how inlabru currently constructs the inla()
call, the mean
,
prec
, mean.intercept
, and prec.intercept
settings in
control.fixed
will have no
effect. Until a more elegant alternative has been implemented, use explicit
mean.linear
and prec.linear
specifications in each
model="linear"
component instead.
bru_options()
, bru_options_default()
, bru_options_get()
## Not run:
if (interactive()) {
# Combine global and user options:
options1 <- bru_options(bru_options_get(), bru_verbose = TRUE)
# Create a proto-options object in two equivalent ways:
options2 <- as.bru_options(bru_verbose = TRUE)
options2 <- as.bru_options(list(bru_verbose = TRUE))
# Combine options objects:
options3 <- bru_options(options1, options2)
}
## End(Not run)
## Not run:
if (interactive()) {
bru_options_check(bru_options(bru_max_iter = "text"))
}
## End(Not run)
bru_options_get("bru_verbose")
## Not run:
if (interactive()) {
bru_options_set(
bru_verbose = TRUE,
verbose = TRUE
)
}
## End(Not run)
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