plot.MCPMod: Plot MCPMod model fits
In MCPMod: Design and Analysis of Dose-Finding Studies

The function plots the model(s) used for dose estimation.

## S3 method for class 'MCPMod'
plot(x, complData = FALSE, CI = FALSE, clinRel = FALSE, doseEst = FALSE,
     gamma = NULL, models = "all", nrDoseGam = 1,
     colors = c("black", "blue", "black", "gray", "blue"),
     uGrad = NULL, ...)

`x`	A MCPMod object.
`complData`	Logical indicating whether complete data set or group means should be plotted.
`CI`	Logical indicating whether a confidence interval should be plotted along the model fit(s).
`clinRel`	Logical indicating, whether clinical relevance threshold should be included in plot.
`doseEst`	Logical determining whether dose estimate should be included in plot.
`gamma`	Numeric giving the value for the 1-2*gamma pointwise CI around the predicted mean. if equal to NULL the value determined in the MCPMod call is used. In case a vector of gamma values was used `nrDoseGam` determines which is used.
`models`	Character vector determining, which of the used models should be plotted (only available if model averaging was used)
`nrDoseGam`	In case a vector is specified for `dePar` in the MCPMod function (and gamma in the plot.MCPMod function is NULL), nrDoseGam determines which of these values should be used for the conf. interval and the dose estimate (if doseEst = T).
`colors`	Vector of length 5 with the names of the colors for: predictions, CI, data, clinical relevance threshold, dose estimator
`uGrad`	If a user defined model has been used for dose estimation, the gradient function needs to be handed over via uGrad.
`...`	Additional arguments to xyplot.