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sptwombling

An R-package for Bayesian spatiotemporal Wombling

Maintainer

An R-package for performing Bayesian spatiotemporal wombling. Further details can be found in the paper titled, "Bayesian Spatiotemporal Wombling". (arXiv link: https://arxiv.org/abs/2407.17804).

Steps to follow for analysis

  1. Load the data containing (a) space-time co-ordinates (b) response (c) covariates
  2. Fit a spatiotemporal Bayesian hierarchical model to the data
  3. Perform spatiotemporal differential process analysis
  4. Locate or annotate planar curves of interest
  5. Perform surface wombling over triangulated surface

Refer to the vignettes folder for further details on the above steps to reproduce the analysis. All spatiotemporal plotting relies on ggplot2 and rgl.

if("devtools" %in% rownames(installed.packages()) == FALSE) install.packages("devtools")
devtools::install_github('arh926/sptwombling')
require(sptwombling)

Authors

Name Email
Aritra Halder (maintainer) aritra.halder@drexel.edu Asst. Professor, Dept. of Biostatistics, Drexel University
Didong Li didongli@unc.edu Asst. Professor, Dept. of Biostatistics, University of North Carolina
Sudipto Banerjee sudipto@ucla.edu Professor & Past Chair, Dept. of Biostatistics, UCLA