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. Furthermore, the details of the package can be found in the corresponding paper on arXiv by Berchuck et al (2018): "Diagnosing Glaucoma Progression with Visual Field Data Using a Spatiotemporal Boundary Detection Method", .


womblR 1.0.2 (2017-09-12)

  • Fixed a bug related to the use of the truncated normal from the msm package.

  • Updated the vignette.

womblR 1.0.1 (2017-07-17)

  • New STBDwDM() functionality, related to the adjacency weights that can be used. A new option is included, Weights allows for the binary weights of the Lee and Mitchell (2011) specification.

  • New PlotVFTimeSeries() functionality, related to the location specific regression line (including line.col, line.reg, and line.type).

  • Default bounds for lower and upper bounds for Phi are now specific to the temporal correlation structure specification (i.e., if TemporalStructure = "ar1" the bounds are now appropriate).

  • Adjusted the truncated normal random sampler to allow it to use the inverse CDF method or accept-reject method of the msm package when necessary.

  • Tidying of the help pages.

womblR 1.0.0 (2017-06-15)

  • First release.

Reference manual

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


1.0.3 by Samuel I. Berchuck, 2 days ago

Browse source code at

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