slope_pod_analysis: Slope-based POD analysis

In DataSciBurgoon/aop: Adverse Outcome Pathway Analysis

Description

This requires lower and upper limits to be specified. This is the function that calculates the slope as part of the basis for the POD. The slope is used to identify the lower bound asymptote on the concentration-response curve.

Usage

slope_pod_analysis(bootstrap_metaregression_obj, lower_interpolation_range,
  upper_interpolation_range, interval_size)

Arguments

bootstrap_metaregression_obj	the object that contains the bootstrap metaregression models as a bmr object.
lower_interpolation_range	a numeric value where the interpolation should be bounded on the lower end.
upper_interpolation_range	a numeric value where the interpolation should be bounded on the upper end.
interval_size	a numeric value that specifies how large the interval should be between each value used for interpolation between the lower and upper bounds.

Value

slope_pod a two-column data.frame object that contains the concentration (column 1) and the median slope.

Examples

bmr_obj <- bootstrap_metaregression(oxybenzone, 15, 100)
slope_pod <- slope_pod_analysis(bmr_obj, 0.0001, 10, 0.1)

DataSciBurgoon/aop documentation built on May 6, 2019, 1:52 p.m.