averageResponse: Calculate the weighted average of estimated response values

In alfcrisci/bmdModeling: Benchmark dose modeling

Description

Calculate the weighted average of estimated response values

Usage

averageResponse(weights, dose, modelResults, groupIndex = 1)

Arguments

weights	numeric vector, estimated weights as returned by calculateWeights()
dose	numeric vector, dose values at which response values are estimated
modelResults	list, with results for each model, same length as weights. For each model a list with at least model.ans, regr.par, CES and ces.ans; these are by default included in result from f.proast(). Eventually contains also fct1 and fct2 if factors are included for the model parameters.
groupIndex	integer, index for covariate combination of interest; default value is 1; if NA average response for all groups is returned

Value

numeric (vector), averaged response value at given dose for group(s) of interest

alfcrisci/bmdModeling documentation built on May 28, 2019, 12:32 a.m.