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vdar  

Discriminant Analysis Incorporating Individual Uncertainties
View on CRAN: Click here


Download and install vdar package within the R console
Install from CRAN:
install.packages("vdar")

Install from Github:
library("remotes")
install_github("cran/vdar")

Install by package version:
library("remotes")
install_version("vdar", "0.1.3-2")



Attach the package and use:
library("vdar")
Maintained by
Solveig Pospiech
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-03-10
Latest Update: 2022-01-04
Description:
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.
How to cite:
Solveig Pospiech (2020). vdar: Discriminant Analysis Incorporating Individual Uncertainties. R package version 0.1.3-2, https://cran.r-project.org/web/packages/vdar. Accessed 07 Nov. 2024.
Previous versions and publish date:
0.1.1 (2020-03-10 09:50), 0.1.2-1 (2020-03-19 13:10), 0.1.3 (2020-07-17 12:50)
Other packages that cited vdar R package
View vdar citation profile
Other R packages that vdar depends, imports, suggests or enhances
Complete documentation for vdar
Functions, R codes and Examples using the vdar R package
Some associated functions: calc_estimate_true_var . dataobs . dataobs_coda . datatrue . datatrue_coda . force_posdef . generalized_mean . predict . uncertainties . uncertainties_coda . vlda . vqda . 
Some associated R codes: data.R . subfunctions.R . weighted_DA.R .  Full vdar package functions and examples
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