R: Calculate location and scale parameters for candidate set of...
fullMod
R Documentation
Calculate location and scale parameters for candidate set of models
Description
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.
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
Value
Returns an object of class fullMod, containing all parameter values for the models in a list.
References
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
R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
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> library(MCPMod)
Loading required package: mvtnorm
Loading required package: lattice
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/MCPMod/fullMod.Rd_%03d_medium.png", width=480, height=480)
> ### Name: fullMod
> ### Title: Calculate location and scale parameters for candidate set of
> ### models
> ### Aliases: fullMod
> ### Keywords: design
>
> ### ** Examples
>
> 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
>
>
>
>
>
> dev.off()
null device
1
>