Description Usage Arguments Value References See Also Examples
Calculates location and scale parameters for all models in the candidate set
using the maximum approach from Pinheiro et al. (2006). This is done by repeatedly
calling the getPars
function.
1 |
models |
A list specifying the candidate models. The names of the list entries should be equal to the names of the model functions. The list entries should be equal to the guesstimates |
doses |
Dose levels to be administered |
base, maxEff |
Baseline effect and maximum change from baseline to be used for calculating the location and scale parameters of the model |
off |
Offset parameter for the linear in log model |
scal |
Scale parameter for the beta model |
Returns an object of class fullMod, containing all parameter values for the models in a list.
Bornkamp B., Pinheiro J. C., Bretz, F. (2009). MCPMod: An R Package for the Design and Analysis of Dose-Finding Studies, Journal of Statistical Software, 29(7), 1–23
Pinheiro, J. C., Bornkamp, B. and Bretz, F. (2006). Design and analysis of dose finding studies combining multiple comparisons and modeling procedures, Journal of Biopharmaceutical Statistics, 16, 639–656
getPars
, sampSize
, powerMM
, plotModels
, LP
1 2 3 4 5 6 | doses <- c(0, 10, 25, 50, 100, 150)
models <- list(linear = NULL, emax = c(25),
logistic = c(50, 10.88111), exponential = c(85),
betaMod = matrix(c(0.33, 2.31, 1.39, 1.39), byrow=TRUE,nrow=2))
fMod <- fullMod(models, doses, base = 0, maxEff = 0.4, scal = 200)
plot(fMod) # automatically calls the plotModels function
|
Loading required package: mvtnorm
Loading required package: lattice
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