An object of class expectreg as returned e.g. by the function expectreg.ls.
rug
Boolean. Whether nonlinear effects are displayed in a rug plot.
xlab, ylab, ylim
Graphic parameters. xlab should match the number of covariates.
legend
Boolean. Decides whether a legend is added to the plots.
ci
Boolean. Whether confidence intervals and significances should be plotted.
ask
Should always be asked before a new plot is printed.
cex.main
Font size of main
mar.min
Minimal margins, important when markov fields are plotted
main
Vector of main per plot
cols
Colours sheme of plots. Default is rainbow. Alternatively hcl can be used.
hcl.par
Parameters to specify the hcl coulour sheme.
ylim_spat
y_limits of the markov random field and all other spatial methods.
ylim_factor
y_limits of the plots of factor covariates.
range_warning
Should a warning be printed in the graphic if the range of the markov random field/factor plot is larger than the specified limits in markov_ylim/factors_ylim.
add_intercept
Should the intercept be added to the plots of splines?
…
Details
The plot function gives a visual representation of the fitted expectiles
separately for each covariate.
References
Schnabel S and Eilers P (2009)
Optimal expectile smoothing
Computational Statistics and Data Analysis, 53:4168-4177
Sobotka F and Kneib T (2010)
Geoadditive Expectile Regression
Computational Statistics and Data Analysis,
doi: 10.1016/j.csda.2010.11.015.