Spatiotemporal Boundary Detection Model for Areal Unit Data

Implements a spatiotemporal boundary detection model with a dissimilarity metric for areal data with inference in a Bayesian setting using Markov chain Monte Carlo (MCMC). The response variable can be modeled as Gaussian (no nugget), probit or Tobit link and spatial correlation is introduced at each time point through a conditional autoregressive (CAR) prior. Temporal correlation is introduced through a hierarchical structure and can be specified as exponential or first-order autoregressive. Full details of the package can be found in the accompanying vignette.


News

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("womblR")

1.0.1 by Samuel I. Berchuck, 3 days ago


Browse source code at https://github.com/cran/womblR


Authors: Samuel I. Berchuck [aut, cre]


Documentation:   PDF Manual  


GPL (>= 3) license


Imports graphics, grDevices, msm, mvtnorm, Rcpp, stats, utils

Suggests coda, classInt, knitr, rmarkdown

Linking to Rcpp, RcppArmadillo


See at CRAN