BayesianPGMM-package: Bayesian Piecewise Growth Mixture Modeling

In lockEF/BayesianPGMM: Bayesian Piecewise Growth Mixture Modeling

Bayesian Piecewise Growth Mixture Modeling

Description

Estimates a Bayesian piecewise growth mixture model with linear segments, for a given number of latent classes and a latent number of possible change points in each class. See [1] for the methodological details, and see ?BayesPGMM for details on the input and output.

Details

Package:	BayesianPGMM-package
Type:	Package
Version:	1.5
Date:	2020-8-12
License:	GPL-3

Author(s)

Eric F. Lock

Maintainer: Eric F. Lock

References

[1] EF Lock, N Kohli & M Bose (2018). Detecting multiple random changepoints in Bayesian piecewise growth mixture models. Psychometrika, 83 (3): 733-750.

Examples

data(SimData)
plotPGMM(X,Y) ##Plot the data
Results <- BayesPGMM(X,Y) ##Fit PGMM (can take about 5 minutes)
plotPGMM(X,Y,Results) ##Plot results

lockEF/BayesianPGMM documentation built on Sept. 30, 2022, 6:53 a.m.