vdar: 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.

Version: 0.1.3
Depends: R (≥ 3.6.0)
Imports: compositions
Suggests: ggplot2, ggthemes, ggtern
Published: 2020-07-17
Author: Solveig Pospiech [aut, cre], K. Gerald van den Boogaart [ctb]
Maintainer: Solveig Pospiech <s.pospiech at hzdr.de>
License: GPL-3
NeedsCompilation: no
CRAN checks: vdar results

Downloads:

Reference manual: vdar.pdf
Package source: vdar_0.1.3.tar.gz
Windows binaries: r-devel: vdar_0.1.3.zip, r-release: vdar_0.1.3.zip, r-oldrel: vdar_0.1.3.zip
macOS binaries: r-release (arm64): vdar_0.1.3.tgz, r-release (x86_64): vdar_0.1.3.tgz, r-oldrel: vdar_0.1.3.tgz
Old sources: vdar archive

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