Model and Analyse Interval Data
Agregate Micro Data
Methods for function BestModel in Package `MAINT.Data'
Methods for function coef in Package `MAINT.Data'
Confussion Matrices for classification results
Class "Configuration Tests"
Methods for function cor in Package `MAINT.Data'
Cross Validation for Discriminant Analysis Classification Rules
EM algorithm control parameters for fitting Gaussian mixtures to inter...
Constructor function for objects of class EMControl
Class extmatrix
Methods for Function fasttle in Package MAINT.Data
Methods for Function fulltle in Package MAINT.Data
Get Interval Data Outliers
Class IData
Interval Data objects
Class IdtE
Class "Idtlda"
Class IdtMANOVA
Class IdtMclust
Methods for function Idtmclust in Package `MAINT.Data'
Class IdtMxE
Class IdtMxNandSNDE
Class IdtMxNDE
Class IdtMxNDE
Class IdtMxSNDE
Class IdtMxtNDE
Class IdtNandSNDE
Class IdtNDE
Class IdtOutl
Plot method for class IdtOutl in Package `MAINT.Data'
Class "Idtqda"
Class "IdtSNDE"
Class "IdtSNgenda"
Class IdtSngNandSNDE
Class IdtSngNDE
Class IdtSngNDRE
Class IdtSngSNDE
Class "IdtSNlocda"
Linear Discriminant Analysis of Interval Data
Loans by risk levels: minimum and maximum Data Set
Loans by risk levels: ten and ninety per cent quantiles Data Set
Class LRTest
Operators, functions and other Internal MAINT.Data objects.
Modelling and Analizing Interval Data
Methods for Function MANOVA in Package `MAINT.Data'
MANOVA permutation test
Methods for function mean in Package `MAINT.Data'
Methods for function mle in Package `MAINT.Data'
Parallel coordinates plot.
Methods for function plot in Package `MAINT.Data'
Information criteria plot.
Quadratic Discriminant Analysis of Interval Data
Hardin and Rocke F-quantiles
Repeated Local Optimization
Robust Discriminant Analysis of Interval Data
Class 'RobEstControl' - contains control parameters for the robust est...
Constructor function for objects of class RobEstControl
Methods for Function RobMxtDEst in Package `MAINT.Data'
Skew-Normal Discriminant Analysis of Interval Data
Methods for function stdEr in Package `MAINT.Data'
IdtMclust summary method
Methods for Function testMod in Package `MAINT.Data'
Methods for function var in Package `MAINT.Data'
Methods for function vcov in Package `MAINT.Data'
Implements methodologies for modelling interval data by Normal and Skew-Normal distributions, considering appropriate parameterizations of the variance-covariance matrix that takes into account the intrinsic nature of interval data, and lead to four different possible configuration structures. The Skew-Normal parameters can be estimated by maximum likelihood, while Normal parameters may be estimated by maximum likelihood or robust trimmed maximum likelihood methods.