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LDATree  

Oblique Classification Trees with Uncorrelated Linear Discriminant Analysis Splits
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("LDATree", "0.2.0")



Attach the package and use:
library("LDATree")
Maintained by
Siyu Wang
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-08-22
Latest Update: 2024-10-31
Description:
A classification tree method that uses LDA (Linear Discriminant Analysis) for variable selection, split determination, and model fitting in terminal nodes. It automatically handles missing values and offers visualization tools.
How to cite:
Siyu Wang (2023). LDATree: Oblique Classification Trees with Uncorrelated Linear Discriminant Analysis Splits. R package version 0.2.0, https://cran.r-project.org/web/packages/LDATree. Accessed 05 Oct. 2026.
Previous versions and publish date:
0.1.0 (2023-08-22 18:00), 0.1.1 (2023-08-24 09:30), 0.1.2 (2023-08-26 00:40), (2026-07-09 08:08)
Other packages that cited LDATree R package
View LDATree citation profile
Other R packages that LDATree depends, imports, suggests or enhances
Complete documentation for LDATree
Functions, R codes and Examples using the LDATree R package
Full LDATree package functions and examples
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