Auxiliar function to obtain predictions of the stationary Matern 1d models using 'inlabru'.
# S3 method for inla_rspde_matern1d
predict(
object,
cmp,
bru_fit,
newdata = NULL,
formula = NULL,
n.samples = 100,
seed = 0L,
probs = c(0.025, 0.5, 0.975),
return_original_order = TRUE,
num.threads = NULL,
include = NULL,
exclude = NULL,
drop = FALSE,
tolerance = 1e-04,
...
)A list with predictions.
An inla_rspde_matern1d object built with the rspde.matern1d()
function.
The 'inlabru' component used to fit the model.
A fitted model using 'inlabru' or 'INLA'.
A data.frame of covariates needed for the prediction.
A formula where the right hand side defines an R expression to evaluate for each generated sample. If NULL, the latent and hyperparameter states are returned as named list elements. See Details for more information.
Integer setting the number of samples to draw in order to calculate the posterior statistics. The default is rather low but provides a quick approximate result.
Random number generator seed passed on to inla.posterior.sample()
A numeric vector of probabilities with values in the standard unit interval to be passed to stats::quantile
Should the predictions be returned in the original order?
Specification of desired number of threads for parallel computations. Default NULL, leaves it up to 'INLA'. When seed != 0, overridden to "1:1"
Character vector of component labels that are needed by the predictor expression; Default: NULL (include all components that are not explicitly excluded)
Character vector of component labels that are not used by the predictor expression. The exclusion list is applied to the list as determined by the include parameter; Default: NULL (do not remove any components from the inclusion list)
logical; If keep=FALSE, data is a SpatialDataFrame, and the prediciton summary has the same number of rows as data, then the output is a SpatialDataFrame object. Default FALSE.
Tolerance for merging locations.
Additional arguments passed on to inla.posterior.sample().