Discriminant Analysis Incorporating Individual Uncertainties

The qda() function from package 'MASS' is extended to calculate a weighted linear (LDA) and quadratic discriminant analysis (QDA) by changing the group variances and group means based on cell-wise uncertainties. The uncertainties can be derived e.g. through relative errors for each individual measurement (cell), not only row-wise or column-wise uncertainties. The method can be applied compositional data (e.g. portions of substances, concentrations) and non-compositional data.


Reference manual

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0.1.3 by Solveig Pospiech, a year ago

Browse source code at https://github.com/cran/vdar

Authors: Solveig Pospiech [aut, cre] , K. Gerald van den Boogaart [ctb]

Documentation:   PDF Manual  

GPL-3 license

Imports compositions

Suggests ggplot2, ggthemes, ggtern

See at CRAN