Summary.PGM: Summarize the results of piecewise growth mixture model (PGM)

In lockEF/BayesianPGMM: Bayesian Piecewise Growth Mixture Modeling

Summarize the results of piecewise growth mixture model (PGM)

Description

Provides a summary of a PGM model, as returned by BayesPGM(...).

Usage

  
  ## S3 method for class 'PGM'
summary(object, ...)

Arguments

object	An object of class "PGM" (returned by BayesPGM(...)).
...	Additional arguments.

Value

Prints a table with estimates for key parameters in each class identified by BayesPGM(...).

Author(s)

Eric F. Lock

Examples

  data(SimData)  ##load simple simulated dataset
  X=X[1:10,];Y=Y[1:10,]  ###select subjects from first class only
  Results <- BayesPGM(X,Y) ##Fit PGM
  summary(Results) ##summarize results

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