R: Bayesian Wombling using 'nimble'

# Bayesian Wombling using 'nimble'

## Documentation for package ‘nimblewomble’ version 0.1.0

- DESCRIPTION file
- Package README

## Help Pages

curvatures_gaussian | Posterior samples of rates of change (gradients and curvatures) for the Matern kernel with nu\toInf producing the squared exponential kernel.
curvatures_matern2 | Posterior samples of rates of change (gradients and curvatures) for the Matern kernel with nu=5/2
gamma1.mcov1 | Cross-covariance terms for the posterior distribution of wombling measures for Matern nu=3/2.
gamma1n2.gauss | Cross-covariance terms for the posterior distribution of wombling measures for Matern nu\toInf, the squared exponential kernel.
gamma1n2.mcov2 | Cross-covariance terms for the posterior distribution of wombling measures for Matern nu=5/2, the squared exponential kernel.
gamma_int | Incomplete Gamma Function
gaussian | Squared Exponential Covariance kernel
gp_fit | Fit a Gaussian process
gradients_matern1 | Posterior samples of rates of change (gradients) for the Matern kernel with nu=3/2
materncov1 | Matern Covariance kernel with nu = 3/2
materncov2 | Matern Covariance kernel with nu = 5/2
pnorm_nimble | Computes the Cumulative Distribution Function (CDF) for the standard Gaussian probability distribution
significance | Determines significance for posterior estimates
sprates | Posterior samples for rates of change
spwombling | Posterior samples for wombling measures
sp_ggplot | Spatial Plot Function
wombling_gaussian | Posterior samples for wombling measures for the squared exponential kernel
wombling_matern1 | Posterior samples for wombling measures from the Matern kernel with nu=3/2
wombling_matern2 | Posterior samples for wombling measures from the Matern kernel with nu=5/2
zbeta_gaussian | Posterior samples of spatial effects and intercept for the squared exponential kernel
zbeta_matern1 | Posterior samples of spatial effects and intercept for the Matern kernel with nu=3/2
zbeta_matern2 | Posterior samples of spatial effects and intercept for the Matern kernel with nu=5/2
zbeta_samples | Posterior samples of spatial effects and intercept for Matern with nu=3/2
zXbeta | Posterior samples of spatial effects and intercept for all kernels in the presence of covariates