postMean: Calculate posterior mean from the Linear Mixed Model result

In maoyinan/BayesPC: R package for Bayesian Projection Clustering

Description

Compute parameters' posterior mean based on modelStan output.

Usage

postMean(df_of_draws, x_var, id_var, dat)

Arguments

df_of_draws	Data frame of simulated LMM output
x_var	Character vector of random effect variables
id_var	Character of id variable
dat	Longitudinal data input

Value

list(b0,bMatrix,G,Gamma)

See Also

Other BayesPC main functions: clustKL(), modelStan(), pcFit()

Examples

data(df_of_draws)
ls_par <- postMean(df_of_draws, paste0("Z", 1:10), "ID", DATASET)

maoyinan/BayesPC documentation built on Dec. 21, 2021, 1:48 p.m.