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DLCA  

Divisive Latent Class Analysis
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("DLCA", "1.1")



Attach the package and use:
library("DLCA")
Maintained by
Daniel W. van der Palm
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-08-21
Latest Update: 2026-08-21
Description:
Provides algorithms for estimating divisive and standard latent class models. The divisive latent class method follows van der Palm, van der Ark and Vermunt (2016) <doi:10.1007/s00357-016-9195-5>. Both algorithms use expectation-maximization and Newton-Raphson optimization and are implemented in 'C++' for speed through 'Rcpp'.
How to cite:
Daniel W. van der Palm (2026). DLCA: Divisive Latent Class Analysis. R package version 1.1, https://cran.r-project.org/web/packages/DLCA. Accessed 27 Oct. 2026.
Previous versions and publish date:
1.0 (2026-08-07 17:20), (2026-08-21 11:10)
Other packages that cited DLCA R package
View DLCA citation profile
Other R packages that DLCA depends, imports, suggests or enhances
Complete documentation for DLCA
Functions, R codes and Examples using the DLCA R package
Full DLCA package functions and examples
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