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Spline implementation of Spatial Temporal Aggregated Predictors(STAP). Enables the identification and estimation of BEF network effects with both cross-sectional and longitudinal data.

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apeterson91/rsstap

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rsstap: Spline Spatial Temporal Aggregated Predictors

License: GPL v3 Travis build status R build status

About

This is an R package that fits spline spatial temporal aggregated predictors to subject indexed spatio-temporal data. The primary target audience is researchers interested in the effect of built environment features (BEFs) on human health,though other applications are possible.

Installation

Development Version

As this package is under active development it is currently only available via Github. If you'd like to to install the current development software use the following lines of R code

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

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

Code of Conduct

Please note that rsstap is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.

How to cite this package

A citation is in progress. Check back soon.

Acknowledgments

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

About

Spline implementation of Spatial Temporal Aggregated Predictors(STAP). Enables the identification and estimation of BEF network effects with both cross-sectional and longitudinal data.

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