extract_ECx.jagsNECfit: extract_ECx.jagsNEC

In AIMS/NEC-estimation: A Bayesian No Effect Concentration (NEC) package. R package version 1. doi:10.5281/ZENODO.3966864

Description

Extracts the predicted ECx value as desired from a jagsNEC model fit object

Usage

extract_ECx.jagsNECfit(
  X,
  ECx.val = 10,
  precision = 10000,
  posterior = FALSE,
  type = "absolute",
  hormesis.def = "control",
  x.range = NA,
  xform = NA,
  prob.vals = c(0.5, 0.025, 0.975)
)

Arguments

X	a jag model fit as returned by a call to jags from fit.jagsNEC or fit.jagsMANEC
ECx.val	the desired percentage effect value. This must be a value between 1 and 99 (for type = "relative" and "absolute"), defaults to 10.
precision	The number of unique x values over which to find ECx - large values will make the ECx estimate more precise.
posterior	A logical value indicating if the full posterior sample of calculated ECx values should be returned instead of just the median and 95 credible intervals.
type	a character vector, taking values of "relative", "absolute" (the default) or "direct". Type "relative" is calculated as the percentage decrease from the maximum predicted value of the response (top) to the minimum predicted value of the response. Type "absolute" (the default) is calculated as the percentage decrease from the maximum value of the response (top) to 0 (or bot for a 4 parameter model fit where the y data are not bounded by zero). Type "direct" provides a direct estimate of the x value for a given y.
hormesis.def	takes values of 'max' or 'control' (the default). If 'control' Absolute and relative ECx values are calculated as a decline from the control. If 'max' Absolute and relative ECx values are calculated as a decline from the maximum predicted value.
x.range	A range of x values over which to consider extracting ECx
xform	A function to apply to the returned estimated concentration values
prob.vals	A vector indicating the probability values over which to return the estimated ECx value. Defaults to 0.5 (median) and 0.025 and 0.975 (95 percent credible intervals).

Value

A vector containing the estimated ECx value, including upper and lower 95 percent Credible Interval bounds

AIMS/NEC-estimation documentation built on Dec. 7, 2020, 10:44 a.m.