sptwombling
R-package for performing Bayesian Spatiotemporal Wombling on surfaces
Science Score: 36.0%
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Repository
R-package for performing Bayesian Spatiotemporal Wombling on surfaces
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Metadata Files
README.md
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).
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Steps to follow for analysis
- Load the data containing (a) space-time co-ordinates (b) response (c) covariates
- Fit a spatiotemporal Bayesian hierarchical model to the data
- Perform spatiotemporal differential process analysis
- Locate or annotate planar curves of interest
- 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 | <!--- --->
Owner
- Name: Aritra Halder
- Login: arh926
- Kind: user
- Location: Philadelphia, PA
- Company: Drexel University
- Website: https://sites.google.com/view/aritra-halder/home
- Twitter: ahalder926
- Repositories: 8
- Profile: https://github.com/arh926
Assistant Professor of Biostatistics
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Dependencies
- MASS * imports
- MBA * imports
- Matrix * imports
- RColorBrewer * imports
- coda * imports
- grDevices * imports
- graphics * imports
- latex2exp * imports
- parallel * imports
- raster * imports
- sp * imports
- stats * imports