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rstap: An R Package for Spatial Temporal Aggregated Predictor Models

Methodology 2018-12-27 v1

Abstract

The rstap package implements Bayesian spatial temporal aggregated predictor models in R using the probabilistic programming language Stan. A variety of distributions and link functions are supported, allowing users to fit this extension to the generalized linear model with both independent and correlated outcomes.

Keywords

Cite

@article{arxiv.1812.10208,
  title  = {rstap: An R Package for Spatial Temporal Aggregated Predictor Models},
  author = {Adam Peterson and Brisa Sanchez},
  journal= {arXiv preprint arXiv:1812.10208},
  year   = {2018}
}

Comments

20 pages 12 figures

R2 v1 2026-06-23T06:56:02.976Z