Produce graphics of calibration data, the fitted model as well as confidence, and, for unweighted regression, prediction bands.
The limits of the plot on the x axis.
The limits of the plot on the y axis.
The label of the x axis.
The label of the y axis.
An optional numeric value for adjusting the x coordinate of the legend.
The error tolerance level for the confidence and prediction
bands. Note that this includes both tails of the Gaussian distribution,
unlike the alpha and beta parameters used in
lod (see note
The variance function for generating the weights in the model. Currently, this argument is ignored (see note below).
A plot of the calibration data, of your fitted model as well as lines showing the confidence limits. Prediction limits are only shown for models from unweighted regression.
Prediction bands for models from weighted linear regression require
weights for the data, for which responses should be predicted. Prediction
intervals using weights e.g. from a variance function are currently not
supported by the internally used function
calplot does not draw prediction bands for such models.