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, ...)
An object of class
The type of graph requested:
A pair of values for the color to be used for plotting, respectively, the estimated CDF and the empirical cdf.
A pair of values for the line width to be used for plotting, respectively, the estimated CDF and the empirical cdf.
A pair of values for the line type to be used for plotting, respectively, the estimated CDF and the empirical cdf.
A logical indicating if a legend must be added to the plot of fitted CDF vs the empirical CDF.
A logical indicating if a
The two diagnostic plots for density estimation in the one-dimensional case are discussed in Loader (1999, pp- 87-90).
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.