`predict.densityMclust.Rd`

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

.

- 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.

Returns a vector or a matrix of densities evaluated at `newdata`

depending on the argument `what`

(see above).

```
# \donttest{
x <- faithful$waiting
dens <- densityMclust(x)
x0 <- seq(50, 100, by = 10)
d0 <- predict(dens, x0)
plot(dens)
points(x0, d0, pch = 20)
# }
```