Other packages > Find by keyword >

poLCA  

Polytomous Variable Latent Class Analysis
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("poLCA", "1.6.0.1")



Attach the package and use:
library("poLCA")
Maintained by
Drew Linzer
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2006-06-14
Latest Update: 2022-04-25
Description:
Latent class analysis and latent class regression models for polytomous outcome variables. Also known as latent structure analysis.
How to cite:
Drew Linzer (2006). poLCA: Polytomous Variable Latent Class Analysis. R package version 1.6.0.1, https://cran.r-project.org/web/packages/poLCA. Accessed 22 Dec. 2024.
Previous versions and publish date:
0.9 (2006-06-14 13:22), 1.0 (2007-04-05 21:02), 1.1 (2007-11-03 19:43), 1.2 (2010-05-12 09:22), 1.3.1 (2011-05-22 14:41), 1.3 (2011-04-05 09:15), 1.4.1 (2014-01-10 07:33), 1.4 (2013-02-24 08:43), 1.6.0 (2022-04-03 21:10)
Other packages that cited poLCA R package
View poLCA citation profile
Other R packages that poLCA depends, imports, suggests or enhances
Complete documentation for poLCA
Downloads during the last 30 days
Get rewarded with contribution points by helping add
Reviews / comments / questions /suggestions ↴↴↴

Today's Hot Picks in Authors and Packages

elect  
Estimation of Life Expectancies Using Multi-State Models
Functions to compute state-specific and marginal life expectancies. The computation is based on a fi ...
Download / Learn more Package Citations See dependency  
composits  
Compositional, Multivariate and Univariate Time Series Outlier Ensemble
A compositional multivariate and univariate time series outlier ensemble.It uses the four R packages ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
dmlalg  
Double Machine Learning Algorithms
Implementation of double machine learning (DML) algorithms in R, based on Emmenegger and Buehlmann ...
Download / Learn more Package Citations See dependency  
LOGANTree  
Tree-Based Models for the Analysis of Log Files from Computer-Based Assessments
Enables researchers to model log-file data from computer-based assessments using machine-learning te ...
Download / Learn more Package Citations See dependency  
Maintainer: Qi Qin (view profile)
wordspace  
Distributional Semantic Models in R
An interactive laboratory for research on distributional semantic models ('DSM', see < ...
Download / Learn more Package Citations See dependency  

23,394

R Packages

201,798

Dependencies

63,416

Author Associations

23,395

Publication Badges

© Copyright 2022 - present. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA