Inspired by the tidyverse’s package ecosystem that work together cohesively for day-to-day analysis, the bentobox package is intended to provide a wide range of data structures and modeling techniques for those working with built environment data. The bentobox contains the following packages

• rbenvo for creating and working with subject - built environment relational data.
• rsstap for estimating population level effects of built environment exposure on pertinent health outcomes.
• bendr for estimating clusters of spatial distributions between subjects and point pattern built environment features.
• rstapDP for estimating heterogeneous - cluster level effects of built environment exposure on pertinent health outcomes.

## Installation

### Development Version

Currently this package is only available via Github. It is in active development and thus caution is warraranted to anyone interested in using it. In order to install the software use the following lines of R code

if(!require(devtools)){
install.packages("devtools")
library(devtools)
}

install_github("apeterson91/bentobox",dependencies = TRUE)

## Acknowledgments

This work was developed with support from NIH grant R01-HL131610 (PI: Sanchez).