Description Usage Arguments Value See Also
Control variables in control.predictor
for use in inla
1 2 | inla.set.control.predictor.default(...)
control.predictor(A, cdf, compute, cross, fixed, hyper, initial, link, param, precision, prior, quantiles)
|
... |
Possible arguments |
hyper |
Definition of the hyperparameters. |
fixed |
(OBSOLETE!) If the precision for the artificial noise is fixed or not (defualt TRUE) |
prior |
(OBSOLETE!) The prior for the artificial noise |
param |
(OBSOLETE!) Prior parameters for the artificial noise |
initial |
(OBSOLETE!) The value of the log precision of the artificial noise |
compute |
A boolean variable; should the marginals for the linear predictor be computed? (Default FALSE.) |
cdf |
A list of values to compute the CDF for the linear predictor |
quantiles |
A list of quantiles to compute for the linear predictor |
cross |
Cross-sum-to-zero constraints with the linear predictor. All linear predictors with the same level of 'cross' are constrained to have sum zero. Use 'NA' for no contribution. 'Cross' has the same length as the linear predictor (including the 'A' matrix extention). (THIS IS AN EXPERIMENTAL OPTION, CHANGES MAY APPEAR.) |
A |
The observation matrix (matrix or Matrix::sparseMatrix) or a filename with format ‘i j value’. |
precision |
The precision for eta* - A*eta, |
link |
Define the family-connection for unobserved observations ( |
The function control.predictor
is used to TAB-complete arguments and returns a list of given arguments.
The function inla.set.control.predictor.default
returns a list with all the default values of all parameters within this control statement.
control.update
, control.lincomb
, control.group
, control.mix
, control.link
, control.expert
, control.compute
, control.family
, control.fixed
, control.inla
, control.predictor
, control.results
, control.mode
, control.hazard
,
inla
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