datasciburgoon / aop

AOP R Package. This package does the following awesome things: 1) Concentration-response analysis using bootstrap metaregression and 2) identifying sufficient causal key events in an AOP.

#Purpose The overall goal of the aop package is to provide a single package to facilitate the use of Adverse Outcome Pathways for chemical risk assessment, hazard identification, and risk screening in an environmental health context. Currently, the aop package provides capabilities for:

1. Identifying key events sufficient to infer an adverse outcome
2. Concentration-response analysis to identify the point of departure

Note: The point of departure is the point at which the exposed population begins to deviate from the exposed non-response population (in other words, the concentration at which adversity is likely to be seen in the population).

#Examples For examples, please see the package documentation.

#Installation

#from github
library(devtools)
install_github("DataSciBurgoon/aop", build_vignettes=TRUE)

#Overview Please see the vignettes for tutorials on use.