mclust: predict.densityMclust – R documentation

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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, what = c("dens", "cdens", "z"), logarithm = FALSE, ...)

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`.
`what`	a character string specifying what to retrieve: `"dens"` returns a vector of values for the mixture density; `"cdens"` returns a matrix of component densities for each mixture component (along the columns); `"z"` returns a matrix of conditional probabilities of each data point to belong to a mixture component.
`logarithm`	A logical value indicating whether or not the logarithm of the density or component densities should be returned.
`...`	further arguments passed to or from other methods.

Value

Returns a vector or a matrix of densities evaluated at newdata depending on the argument what (see above).

Author(s)

Luca Scrucca

Examples

x <- faithful$waiting
dens <- densityMclust(x, plot = FALSE)
x0 <- seq(50, 100, by = 10)
d0 <- predict(dens, x0)
plot(dens, what = "density")
points(x0, d0, pch = 20)

mclust

Gaussian Mixture Modelling for Model-Based Clustering, Classification, and Density Estimation

v5.4.10

GPL (>= 2)

Authors

Chris Fraley [aut], Adrian E. Raftery [aut] (<https://orcid.org/0000-0002-6589-301X>), Luca Scrucca [aut, cre] (<https://orcid.org/0000-0003-3826-0484>), Thomas Brendan Murphy [ctb] (<https://orcid.org/0000-0002-5668-7046>), Michael Fop [ctb] (<https://orcid.org/0000-0003-3936-2757>)

Initial release

2022-05-20