bmr2: Target function for optimization if ces.ans = 2

In alfcrisci/bmdModeling: Benchmark dose modeling

Description

Target function for optimization if ces.ans = 2

Usage

bmr2(weights, dose, modelResults, groupIndex = 1, baseResponse,
  maxResponse = NULL)

Arguments

weights	numeric vector, estimated weights as returned by calculateWeights()
dose	numeric, value for the dose 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 missing average response for all groups is returned
baseResponse	numeric, estimated response value for dose = 0
maxResponse	numeric, response value for which bmr should be calculated; default value is NULL

Value

numeric (vector), estimated added risk for group(s) of interest

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