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mixAK (version 2.2)

plot.NMixPredCDFMarg: Plot computed marginal predictive cumulative distribution functions

Description

This is a basic plotting tool to visualize computed marginal cumulative distribution functions, see NMixPredCDFMarg.

Usage

## S3 method for class 'NMixPredCDFMarg':
plot(x, K=0, auto.layout=TRUE,
    type="l", col="darkblue", lty=1, lwd=1, main, xlab, ylab, \dots)

Arguments

x
an object of class NMixPredCDFMarg.
K
if equal to 0 then the overall predictive CDF's are plotted taken from the dens part of the object x.

If higher than 0 then the predictive CDF conditioned by the value of K is p

auto.layout
if TRUE then the function determines itself how to divide the plotting region to draw densities for all margins.
type
type of the plot.
col
color used to draw the lines.
lty
type of the line.
lwd
line width.
main
main title of the plot. Either character which is replicated or a vector of characters of the length equal to the number of margins.
xlab
label for the x-axis. Either character which is replicated or a vector of characters of the length equal to the number of margins.
ylab
label for the y-axis. Either character which is replicated or a vector of characters of the length equal to the number of margins.
...
additional arguments passed to the plot function.

Value

  • invisible(x)

References

Komárek, A. (2009). A new R package for Bayesian estimation of multivariate normal mixtures allowing for selection of the number of components and interval-censored data. Computational Statistics and Data Analysis, 53, 3932-3947.

See Also

NMixPredCDFMarg, NMixMCMC.