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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.html ,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:

Please use the canonical formhttps://CRAN.R-project.org/package=vdarto link to this page.


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