R: Diagnostic plots for 'mclustDensity' estimation

densityMclust.diagnostic {mclust} | R Documentation

## Diagnostic plots for `mclustDensity` estimation

### Description

Diagnostic plots for density estimation. Only available for the one-dimensional case.

### Usage

    densityMclust.diagnostic(object, type = c("cdf", "qq"),
                             col = c("black", "black"),
                             lwd = c(2,1), lty = c(1,1),
                             legend = TRUE, grid = TRUE,
                             ...)

### Arguments

`object` | An object of class `'mclustDensity'` obtained from a call to `densityMclust` function.
`type` | The type of graph requested: `"cdf"` = a plot of the estimated CDF versus the empirical distribution function. `"qq"` = a Q-Q plot of sample quantiles versus the quantiles obtained from the inverse of the estimated cdf.
`col` | A pair of values for the color to be used for plotting, respectively, the estimated CDF and the empirical cdf.
`lwd` | A pair of values for the line width to be used for plotting, respectively, the estimated CDF and the empirical cdf.
`lty` | A pair of values for the line type to be used for plotting, respectively, the estimated CDF and the empirical cdf.
`legend` | A logical indicating if a legend must be added to the plot of fitted CDF vs the empirical CDF.
`grid` | A logical indicating if a `grid` should be added to the plot.
`...` | Additional arguments.

### Details

The two diagnostic plots for density estimation in the one-dimensional case are discussed in Loader (1999, pp- 87-90).

### Author(s)

Luca Scrucca

### References

Loader C. (1999), Local Regression and Likelihood. New York, Springer.

C. Fraley, A. E. Raftery, T. B. Murphy and L. Scrucca (2012). mclust Version 4 for R: Normal Mixture Modeling for Model-Based Clustering, Classification, and Density Estimation. Technical Report No. 597, Department of Statistics, University of Washington.

### See Also

`densityMclust`, `plot.densityMclust`.

### Examples

    ## Not run:
    x <- faithful$waiting
    dens <- densityMclust(x)
    plot(dens, x, what = "diagnostic")
    # or
    densityMclust.diagnostic(dens, type = "cdf")
    densityMclust.diagnostic(dens, type = "qq")

    ## End(Not run)

[Package mclust version 5.4.2 Index]