Bayesian CAR Models for Road-Segment Traffic

---

Documentation for package ‘trafficCAR’ version 0.1.0

• DESCRIPTION file.
• User guides, package vignettes and other documentation.

Help Pages

augment_roads	Augment roads with predicted traffic quantities
build_adjacency	Build segment adjacency from segment geometries
build_network	Build a road network graph from sf LINESTRING data
car_precision	CAR precision matrix from an adjacency matrix
fetch_osm_roads	Fetch road geometries from OpenStreetMap
fit_car	Fit Gaussian CAR / ICAR regression via Gibbs sampling
fit_traffic	Fit a Gaussian CAR traffic model (speed or travel time)
icar_sum_to_zero	Apply sum-to-zero constraint to ICAR precision
intrinsic_car_precision	Intrinsic CAR (ICAR) precision matrix
map_roads_interactive	Interactive map of road-segment traffic measures
map_roads_interactive_layers	Interactive map with multiple standard traffic layers
moran_residuals	Moran's I for trafficCAR residuals
plot_mcmc_diagnostics	MCMC diagnostic plots
plot_observed_fitted	Plot observed vs predicted traffic values
plot_predicted	Plot predicted traffic outcome on road network
plot_relative_congestion	Plot relative congestion on road network
plot_roads_static	Static map of road-segment traffic measures
plot_traffic_map	Quick map helper for augmented roads
ppc_summary	Posterior predictive checks for trafficCAR fits
residuals.traffic_fit	Residuals for trafficCAR fits
roads_cstat	Example road network datasets
roads_datasets	Example road network datasets
roads_small	Example road network datasets
roads_to_segments	Convert road geometries to modeling segments
sample_proper_car	Gibbs sampler for a proper CAR latent Gaussian model
simplify_network	Simplify a built network object by removing parallel edges (and loops)
weights_from_adjacency	Construct spatial weights matrix