Data extraction from metric graphs for 'rSPDE' models

Extracts data from metric graphs to be used by 'INLA' and 'inlabru'.

Usage

graph_data_rspde(
  graph_rspde,
  name = "field",
  repl = NULL,
  repl_col = NULL,
  group = NULL,
  group_col = NULL,
  only_pred = FALSE,
  loc = NULL,
  bru = FALSE,
  tibble = FALSE,
  drop_na = FALSE,
  drop_all_na = TRUE
)

Arguments

graph_rspde: An inla_metric_graph_spde object built with the rspde.metric_graph() function.
name: A character string with the base name of the effect.
repl: Which replicates? If there is no replicates, one can set repl to NULL. If one wants all replicates, then one sets to repl to .all.
repl_col: Which "column" of the data contains the replicate variable?
group: Which groups? If there is no groups, one can set group to NULL. If one wants all groups, then one sets to group to .all.
group_col: Which "column" of the data contains the group variable?
only_pred: Should only return the data.frame to the prediction data?
loc: Locations. If not given, they will be chosen as the available locations on the metric graph internal dataset.
bru: Should the data be processed for inlabru?
tibble: Should the data be returned as a tidyr::tibble?
drop_na: Should the rows with at least one NA for one of the columns be removed? DEFAULT is FALSE. This option is turned to FALSE if only_pred is TRUE.
drop_all_na: Should the rows with all variables being NA be removed? DEFAULT is TRUE. This option is turned to FALSE if only_pred is TRUE.

Value

An 'INLA' and 'inlabru' friendly list with the data.