`predict.MclustDA.Rd`

Classify multivariate observations based on Gaussian finite mixture models estimated by `MclustDA`

.

# S3 method for MclustDA predict(object, newdata, prop = object$prop, ...)

object | an object of class |
---|---|

newdata | a data frame or matrix giving the data. If missing the train data obtained from the call to |

prop | the class proportions or prior class probabilities to belong to each class; by default, this is set at the class proportions in the training data. |

... | further arguments passed to or from other methods. |

Returns a list of with the following components:

a factor of predicted class labels for `newdata`

.

a matrix whose *[i,k]*th entry is the probability that
observation *i* in `newdata`

belongs to the *k*th class.

Luca Scrucca

if (FALSE) { odd <- seq(from = 1, to = nrow(iris), by = 2) even <- odd + 1 X.train <- iris[odd,-5] Class.train <- iris[odd,5] X.test <- iris[even,-5] Class.test <- iris[even,5] irisMclustDA <- MclustDA(X.train, Class.train) predTrain <- predict(irisMclustDA) predTrain predTest <- predict(irisMclustDA, X.test) predTest }