bayes_cwomb: Curvilinear Bayesian Wombling

In arh926/spWombling: Bayesian Wombling for Spatial Processes

Curvilinear Bayesian Wombling

Description

performs Bayesian wombling on curves within the spatial surface.

Usage

bayes_cwomb(
  coords = NULL,
  model = NULL,
  cov.type = c("gaussian", "matern1", "matern2"),
  nbatch = NULL,
  curve = NULL,
  type = c("rectilinear", "riemann.sum"),
  approx = NULL,
  verbose = T,
  rule.len = 10
)

Arguments

coords	coordinates for observed process (order L x 2)
model	the posterior samples from the MCMC fit
cov.type	covariance type (three available choices: Gaussian, Mat\'ern(\nu=3/2)), Mat\'ern(\nu=5/2)
nbatch	number of batches
curve	coordinates for the curve
type	specify type or rule of quadrature
approx	if TRUE curve will be approximated
verbose	if TRUE will print status
rule.len	specifies accuracy for quadrature

arh926/spWombling documentation built on April 14, 2025, 4 p.m.