wombling_gaussian: Posterior samples for wombling measures for the squared...
In nimblewomble: Bayesian Wombling using 'nimble'

wombling_gaussian

R Documentation

Posterior samples for wombling measures for the squared exponential kernel

Description

For internal use only.

Usage

wombling_gaussian(coords, curve, dists, tvec, umat, z, phi, sigma2)

Arguments

`coords`	coordinates
`curve`	curve coordinates
`dists`	distance matrix
`tvec`	vector of t's
`umat`	matrix of u's
`z`	posterior samples of `Z(s)`
`phi`	posterior samples of `\phi`
`sigma2`	posterior samples of `\sigma^2`

Value

A matrix of wombling measures. For internal use only.

Author(s)

Aritra Halder <aritra.halder@drexel.edu>,
Sudipto Banerjee <sudipto@ucla.edu>

Examples

## Not run: 
#####################
# Internal use only #
#####################
# Example usage inside of nimblewomble::spwombling(...)
WG = compileNimble(wombling_gaussian)
wmeasure = WG(coords = coords,
              curve = curve,
              dists = distM,
              tvec = tvec,
              umat = umat,
              z = z,
              phi = phi,
              sigma2 = sigma2)

## End(Not run)

nimblewomble documentation built on April 12, 2025, 2:11 a.m.