Other packages > Find by keyword >

clustGLMM  

Model-Based Clustering of Mixed-Type Longitudinal Data
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("clustGLMM", "1.0")



Attach the package and use:
library("clustGLMM")
Maintained by
Jan Vavra
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-08-05
Latest Update: 2026-08-05
Description:
Provides tools for Bayesian estimation and inference for modelling clusterwise multivariate regression models for numeric, count, binary, ordinal and count outcomes observed repeatedly on the same units and where possible relations among outcomes are captured through a joint distribution of random effects. The clusters are defined through cluster-specific parameters, which the analyst can choose, e.g., with respect to the regression coefficients. In particular, the model specification for each regression model via the formula is specific to the outcome and consists of four parts: (1) fixed - regression coefficients common to all clusters, (2) group - group-specific regression coefficients, (3) random - random effects specific for each unit, (3) offset - name of an offset variable (if needed). Estimation is performed using MCMC sampling combining Gibbs and Metropolis-Hastings steps. Post-processing tools allow to assess convergence and address label switching and provide visual diagnostics. Units may be classified based on sampled allocation indicators or by exploiting the posterior distribution of the classification probabilities. For more details see Vavra et al. (2024) <doi:10.1007/s11222-023-10304-5>.
How to cite:
Jan Vavra (2026). clustGLMM: Model-Based Clustering of Mixed-Type Longitudinal Data. R package version 1.0, https://cran.r-project.org/web/packages/clustGLMM. Accessed 20 Sep. 2026.
Previous versions and publish date:
(2026-08-05 08:36), 1.0 (2026-07-22 08:20)
Other packages that cited clustGLMM R package
View clustGLMM citation profile
Other R packages that clustGLMM depends, imports, suggests or enhances
Complete documentation for clustGLMM
Functions, R codes and Examples using the clustGLMM R package
Full clustGLMM package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

migration.indices  
Migration Indices
Calculate various indices, like Crude Migration Rate, different Gini indices or the Coefficient of ...
Download / Learn more Package Citations See dependency  
RWmisc  
Miscellaneous Spatial Functions
Contains convenience functions for working with spatial data across multiple UTM zones, raster-vect ...
Download / Learn more Package Citations See dependency  
relimp  
Relative Contribution of Effects in a Regression Model
Functions to facilitate inference on the relative importance of predictors in a linear or generalize ...
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  
MatchThem  
Matching and Weighting Multiply Imputed Datasets
Provides essential tools for the pre-processing techniques of matching and weighting multiply impute ...
Download / Learn more Package Citations See dependency  
WASP  
Wavelet System Prediction
The wavelet-based variance transformation method is used for system modelling and prediction. It ref ...
Download / Learn more Package Citations See dependency  

28,565

R Packages

239,283

Dependencies

75,677

Author Associations

28,566

Publication Badges

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