aop (version 1.0.0)

pod_envelope_analysis: This function calculates the chemical's point of departure.

Description

This function calculates the chemical's point of departure based on the concentration-response data.

Usage

pod_envelope_analysis(bmr_obj, slope_data, slope_threshold = 1, lower_interpolation_range, upper_interpolation_range, interval_size, agonist_assay = TRUE)

Arguments

bmr_obj

a bmr object that holds all of the bootstrap metaregression models produced.

slope_data

the data.frame object that contains the concentration and slope data.

slope_threshold

the numeric object that sets the threshold for the slope. This determines the upper bound on the concentration range that is determined to be the asymptote. In other words, the asymptote is defined as that region that has a slope less than the threshold at the lower end of the concentration-response curve.

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.

agonist_assay

a boolean value that specifies if the assay is an agonist or antagonist assay.

Value

a two column data.frame that contains the chemical's point of departure and the threshold value.

Examples

bmr_obj <- bootstrap_metaregression(oxybenzone, 15, 100)
slope_pod <- slope_pod_analysis(bmr_obj, 0.0001, 10, 0.1)
pod_and_threshold <- pod_envelope_analysis(bmr_obj, slope_pod,
  slope_threshold = 10, min(oxybenzone$Concentration),
  max(oxybenzone$Concentration), interval_size = 0.1)