Diagnostic plots for mclustDensity estimation
Diagnostic plots for density estimation. Only available for the one-dimensional case.
densityMclust.diagnostic(object, type = c("cdf", "qq"),
col = c("black", "black"),
lwd = c(2,1), lty = c(1,1),
legend = TRUE, grid = TRUE,
...)object |
An object of class |
type |
The type of graph requested:
|
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 |
... |
Additional arguments. |
The two diagnostic plots for density estimation in the one-dimensional case are discussed in Loader (1999, pp- 87-90).
Luca Scrucca
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.
x <- faithful$waiting dens <- densityMclust(x, plot = FALSE) plot(dens, x, what = "diagnostic") # or densityMclust.diagnostic(dens, type = "cdf") densityMclust.diagnostic(dens, type = "qq")
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