plot.NMixPredDensMarg {mixAK} | R Documentation

## Plot computed marginal predictive densities

### Description

This is a basic plotting tool to visualize computed marginal predictive densities, see `NMixPredDensMarg`.

### Usage

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

### Arguments

`x` | an object of class `NMixPredDensMarg`.
`K` | if equal to `0` then the overall predictive densities are plotted taken from the `dens` part of the object `x`. If higher than `0` then the predictive density conditioned by the value of `K` is plotted (taken from the `densK` part of the object `x`).
`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)`

### Author(s)

Arnošt Komárek arnost.komarek[AT]mff.cuni.cz

### References

Komárek, A. 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

`NMixPredDensMarg`, `NMixMCMC`.

### Examples

    ## See additional material available in
    ## YOUR_R_DIR/library/mixAK/doc/
    ## or YOUR_R_DIR/site-library/mixAK/doc/
    ## - files Galaxy.pdf, Faithful.pdf, Tandmob.pdf

[Package mixAK version 0.6 Index]