# Class "Idtqda"

### Description

Idtqda contains the results of Quadratic Discriminant Analysis for the interval data

### Slots

`prior`

:Prior probabilities of class membership; if unspecified, the class proportions for the training set are used; if present, the probabilities should be specified in the order of the factor levels.

`means`

:Matrix with the mean vectors for each group

`scaling`

:A three-dimensional array. For each group, g, scaling[,,g] is a matrix which transforms interval-valued observations so that within-groups covariance matrix is spherical.

`ldet`

:Vector of half log determinants of the dispersion matrix.

`lev`

:Levels of the grouping factor

`CovCase`

:Configuration case of the variance-covariance matrix: Case 1 through Case 4

### Methods

- predict
`signature(object = "Idtqda")`

: Classifies interval-valued observations in conjunction with qda.- show
`signature(object = "Idtqda")`

: show S4 method for the Idtqda-class- CovCase
`signature(object = "Idtqda")`

: Returns the configuration case of the variance-covariance matrix

### Author(s)

Pedro Duarte Silva <psilva@porto.ucp.pt>

Paula Brito <mpbrito.fep.up.pt>

### References

Brito, P., Duarte Silva, A. P. (2012), Modelling Interval Data with Normal and Skew-Normal Distributions. *Journal of Applied Statistics* **39**(1), 3–20.

Duarte Silva, A.P. and Brito, P. (2015), Discriminant analysis of interval data: An assessment of parametric and distance-based approaches. *Journal of Classification* **39**(3), 516–541.

### See Also

`qda`

, `MANOVA`

, `Robqda`

, `IData`