plot.MCPMod {MCPMod} | R Documentation |
Plot MCPMod model fits
Description
The function plots the model(s) used for dose estimation.
Usage
## 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, ...)
Arguments
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. |
See Also
MCPMod
[Package
MCPMod version 1.0-2
Index]