Class "Idtqda"

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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

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