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lcda  

Latent Class Discriminant Analysis
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("lcda", "0.3.2")



Attach the package and use:
library("lcda")
Maintained by
Michael Buecker
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2009-03-25
Latest Update: 2024-02-15
Description:
Providing a method for Local Discrimination via Latent Class Models. The approach is described in .
How to cite:
Michael Buecker (2009). lcda: Latent Class Discriminant Analysis. R package version 0.3.2, https://cran.r-project.org/web/packages/lcda. Accessed 05 Aug. 2026.
Previous versions and publish date:
(2026-07-09 07:52), 0.1 (2009-03-25 18:49), 0.2 (2009-10-15 13:08), 0.3.1 (2022-03-11 17:00), 0.3.2 (2024-02-15 15:10), 0.3 (2011-04-06 12:12)
Other packages that cited lcda R package
View lcda citation profile
Other R packages that lcda depends, imports, suggests or enhances
Complete documentation for lcda
Functions, R codes and Examples using the lcda R package
Some associated functions: cclcda . cclcda2 . lcda . predict.cclcda . predict.cclcda2 . predict.lcda . 
Some associated R codes: cclcda.R . cclcda.default.R . cclcda.formula.R . cclcda2.R . cclcda2.default.R . cclcda2.formula.R . entropy.R . lcda.R . lcda.default.R . lcda.formula.R . predict.cclcda.R . predict.cclcda2.R . predict.lcda.R .  Full lcda package functions and examples
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