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:	0.1.3-2
Depends:	R (≥ 3.6.0)
Imports:	compositions
Suggests:	ggplot2, ggthemes, ggtern
Published:	2022-01-04
DOI:	10.32614/CRAN.package.vdar
Author:	Solveig Pospiech [aut, cre]
Maintainer:	Solveig Pospiech <s.pospiech at hzdr.de>
License:	GPL-3
NeedsCompilation:	no
Materials:	NEWS
CRAN checks:	vdar results

Documentation:

Reference manual:

vdar.pdf

Downloads:

Package source:	vdar_0.1.3-2.tar.gz
Windows binaries:	r-devel: vdar_0.1.3-2.zip, r-release: vdar_0.1.3-2.zip, r-oldrel: vdar_0.1.3-2.zip
macOS binaries:	r-release (arm64): vdar_0.1.3-2.tgz, r-oldrel (arm64): vdar_0.1.3-2.tgz, r-release (x86_64): vdar_0.1.3-2.tgz, r-oldrel (x86_64): vdar_0.1.3-2.tgz
Old sources:	vdar archive

Linking:

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