plot.paircopula: Flexible Pair-Copula Estimation in D-vines with Penalized...
In penRvine: Flexible R-Vines Estimation Using Bivariate Penalized Splines

Description Usage Arguments Value Author(s) References

Plotting a paircopula of class 'paircopula'.

## S3 method for class 'paircopula'
plot(x,val=NULL,marg=TRUE,plot=TRUE,int=FALSE,
                    main.txt=NULL,sub.txt=NULL,contour=FALSE,cuts=20,cex=1,
                    cex.axes=1,xlab=NULL,ylab=NULL,zlab=NULL,xlim=NULL,
                    ylim=NULL,zlim=NULL,margin.normal=FALSE,...)

`x`	object of class 'paircopula', result of function 'paircopula'.
`val`	Default val = NULL, one can calculate the estimated density/distribution for bivariate vector, e.g. val=c(0.5,1).
`marg`	Default = TRUE, plotting the marginal densities.
`plot`	Default = TRUE, if 'FALSE' no plot is shown, e.g. for calculations with val != NULL.
`int`	Default = FALSE, if TRUE, the integral, i.e. the distribution of the copula density is plotted.
`main.txt`	Default = NULL shows 'K' and the value of lambda.
`sub.txt`	Default = NULL shows the log-likelihood, the penalized log-likelihood and the cAIC-value of the estimation.
`contour`	If TRUE, a contour plot is shown. Default = FALSE.
`cuts`	Number of cuts for the contour plots, if contour=TRUE.
`cex`	Default = 1, determing the size of the main of the plot.
`cex.axes`	Default = 1, determing the size of the labels at the axes.
`xlab`	Default = NULL and no text is printed at the xlab
`ylab`	Default = NULL and no text is printed at the ylab
`zlab`	Default = NULL and 'density' is printed at the zlab for int=FALSE and 'distribution' for int=TRUE.
`xlim`	Default = NULL, changes the range for the values of x in the case of a contour plot.
`ylim`	Default = NULL, changes the range for the values of y in the case of a contour plot.
`zlim`	Default = NULL and the range for the values of z are the range of calculated values.
`margin.normal`	Default = FALSE. If TRUE, the plot is presented with margins following standard normal distribution.
`...`	further arguments

If 'val' is not NULL, the function returns a matrix with the calculated density or distribution values for the set 'val'.

Christian Schellhase <cschellhase@wiwi.uni-bielefeld.de>

Flexible Pair-Copula Estimation in D-vines using Bivariate Penalized Splines, Kauermann, G. and Schellhase, C. (2014), Statistics and Computing 24(6): 1081-1100).

Nonparametric estimation of simplified vines: comparison of methods, Nagler N., Schellhase, C. and Czado, C. (2017) Dependence Modeling.

penRvine documentation built on May 30, 2017, 2:20 a.m.