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abcrlda  

Asymptotically Bias-Corrected Regularized Linear Discriminant Analysis
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("abcrlda", "1.0.3")



Attach the package and use:
library("abcrlda")
Maintained by
Dmitriy Fedorov
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-11-25
Latest Update: 2020-05-28
Description:
Offers methods to perform asymptotically bias-corrected regularized linear discriminant analysis (ABC_RLDA) for cost-sensitive binary classification. The bias-correction is an estimate of the bias term added to regularized discriminant analysis (RLDA) that minimizes the overall risk. The default magnitude of misclassification costs are equal and set to 0.5; however, the package also offers the options to set them to some predetermined values or, alternatively, take them as hyperparameters to tune. A. Zollanvari, M. Abdirash, A. Dadlani and B. Abibullaev (2019) .
How to cite:
Dmitriy Fedorov (2019). abcrlda: Asymptotically Bias-Corrected Regularized Linear Discriminant Analysis. R package version 1.0.3, https://cran.r-project.org/web/packages/abcrlda. Accessed 21 Nov. 2024.
Previous versions and publish date:
1.0.1 (2019-11-25 13:00), 1.0.2 (2020-01-29 06:40)
Other packages that cited abcrlda R package
View abcrlda citation profile
Other R packages that abcrlda depends, imports, suggests or enhances
Complete documentation for abcrlda
Functions, R codes and Examples using the abcrlda R package
Some associated functions: abcrlda . cross_validation . da_risk_estimator . grid_search . predict.abcrlda . risk_calculate . 
Some associated R codes: abc_grid.R . abcrlda.R .  Full abcrlda package functions and examples
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