This function creates a log-Gaussian Cox process model for point pattern data on metric graphs. It handles the creation of integration points and prepares the data for fitting with INLA.
Usage
lgcp_graph(
formula,
graph,
interpolate = TRUE,
manual_integration_points = NULL,
manual_covariates = NULL,
use_current_mesh = TRUE,
new_h = NULL,
new_n = NULL,
repl = ".all",
repl_col = ".group",
...
)Arguments
- formula
A formula object specifying the model structure
- graph
A metric_graph object containing the network and point pattern data
- interpolate
Logical; if TRUE, interpolate covariates from the graph data to integration points
- manual_integration_points
Data frame with columns edge_number, distance_on_edge, and E (integration weights) for manually specified integration points, or NULL to use automatic integration points
- manual_covariates
Named vector of covariates at integration points if interpolate is FALSE and covariates are used
- use_current_mesh
Logical; if TRUE, use the existing mesh in the graph as integration points
- new_h
Numeric; mesh size for creating a new mesh if use_current_mesh is FALSE
- new_n
Integer; alternative to new_h, specifies the approximate number of mesh points
- repl
Vector of replicates to be used in the model. For all replicates, one must use ".all".
- repl_col
Name of the column in the data that contains the replicates. Default is ".group".
- ...
Additional arguments to be passed to inla