mclust (version 4.1)

predict.densityMclust: Density estimate of multivariate observations by Gaussian finite mixture modeling

Description

Compute density estimation for multivariate observations based on Gaussian finite mixture models estimated by densityMclust.

Usage

## S3 method for class 'densityMclust':
predict(object, newdata, \dots)

Arguments

object

an object of class "densityMclust" resulting from a call to densityMclust.

newdata

a vector, a data frame or matrix giving the data. If missing the density is computed for the input data obtained from the call to densityMclust.

...

further arguments passed to or from other methods.

Value

• Returns a vector of densities evaluated at newdata.

References

C. Fraley and A. E. Raftery (2002). Model-based clustering, discriminant analysis, and density estimation. Journal of the American Statistical Association 97:611:631.

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

Mclust.

Examples

x = faithful$waiting
dens = densityMclust(x)
x0 = seq(50, 100, by = 10)
d0 = predict(dens, x0)
plot(dens)
points(x0, d0, pch = 20)