getStackingWeights: Model-average dose-response curves

In DoseResponse/bmd: Benchmark dose estimation for dose-response data

Model-average dose-response curves

Description

Computing stacking weights.

Usage

getStackingWeights(modelList, nSplits = 2)

Arguments

modelList	list of models of class drc
nSplits	integer. The Stacking Weights are based on V-fold cross-validation. The nSplits argument sets the number V of data splits used in the cross validation.

Details

The aim to provide an R package calculating the benchmark dose (BMD) and the lower limit of the corresponding 95% confidence interval (BMDL) for continuous and quantal dose-response data for a range of dose-response models based on the available definitions of the benchmark dose concepts.

Details on the implemented definitions and methods can be found in Crump (2002)

Value

numeric

Author(s)

Jens Riis Baalkilde

Examples

library(bmd)
library(drc)
library(drcData)

# fit models to aconiazide data
aconiazide.LL.3 <- drm(weightChange ~ dose,data = aconiazide,fct = LL.3())
aconiazide.LN.3 <- drm(weightChange ~ dose,data = aconiazide,fct = LN.3())
aconiazide.W1.3 <- drm(weightChange ~ dose,data= aconiazide,fct = W1.3())
aconiazide.W2.3 <- drm(weightChange ~ dose,data= aconiazide,fct = W2.3())

getStackingWeights(modelList = list(aconiazide.LL.3, aconiazide.LN.3,
                                  aconiazide.W1.3, aconiazide.W2.3))
getStackingWeights(modelList = list(aconiazide.LL.3, aconiazide.LN.3,
                                  aconiazide.W1.3, aconiazide.W2.3),
                  nSplits = 7)

DoseResponse/bmd documentation built on July 4, 2025, 11:20 p.m.