sptwombling

An R-package for Bayesian spatiotemporal Wombling

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