Description Usage Arguments Value
View source: R/modelAveraging.R
Target function for optimization if ces.ans = 1
1 2 |
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 NA results for all groups are returned |
baseResponse |
numeric, estimated response value for dose = 0; redundant but retained for convenience with bmr2() and bmr3() |
maxResponse |
numeric, response value for which bmr should be calculated; default value is NULL |
numeric (vector), estimated response value for a given dose and group(s) of interest; same object as returned by averageResponse()
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