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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.

Versions across snapshots

VersionRepositoryFileSize
0.1.3-2 rolling linux/jammy R-4.5 vdar_0.1.3-2.tar.gz 93.4 KiB
0.1.3-2 rolling linux/noble R-4.5 vdar_0.1.3-2.tar.gz 93.4 KiB
0.1.3-2 rolling source/ R- vdar_0.1.3-2.tar.gz 36.8 KiB
0.1.3-2 latest linux/jammy R-4.5 vdar_0.1.3-2.tar.gz 93.4 KiB
0.1.3-2 latest linux/noble R-4.5 vdar_0.1.3-2.tar.gz 93.4 KiB
0.1.3-2 latest source/ R- vdar_0.1.3-2.tar.gz 36.8 KiB
0.1.3-2 2026-04-26 source/ R- vdar_0.1.3-2.tar.gz 36.8 KiB
0.1.3-2 2026-04-23 source/ R- vdar_0.1.3-2.tar.gz 36.8 KiB
0.1.3-2 2026-04-09 windows/windows R-4.5 vdar_0.1.3-2.zip 96.4 KiB
0.1.3-2 2025-04-20 source/ R- vdar_0.1.3-2.tar.gz 36.8 KiB

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