A VGAM quantile regression model, i.e.,
an object produced by modelling functions
such as vglm
and vgam with a family function beginning with
"lms.", e.g., lms.yjn.
newdata
Optional data frame for computing the quantiles.
If missing, the original data is used.
percentiles
Numerical vector with values
between 0 and 100
that specify the percentiles (quantiles).
The default are the percentiles used when the model was fitted.
show.plot
Logical. Plot it? If FALSE no plot will
be done.
...
Graphical parameter that are passed into
plotqtplot.lmscreg.
Author
Thomas W. Yee
Details
The `primary' variable is defined as the main covariate upon
which the regression or smoothing is performed. For example,
in medical studies, it is often the age. In VGAM, it is
possible to handle more than one covariate, however, the primary
variable must be the first term after the intercept.
References
Yee, T. W. (2004).
Quantile regression via vector generalized additive models.
Statistics in Medicine, 23, 2295--2315.