modelStan: Bayesian mixed linear regression modelling

In maoyinan/BayesPC: R package for Bayesian Projection Clustering

Description

To fit longitudinal dataset using linear mixed model by calling stan package.

Usage

modelStan(y_var, x_var, id_var = "ID", dat, seed = 1, ...)

Arguments

y_var	Character of response variable
x_var	Character vector of random effect variables
id_var	Character of id variable
dat	Longitudinal data input
seed	Random seed to pass to sampling
...	Additional arguments passed to sampling

Value

dataframe of posterior output from Bayesian mixed linear regression

See Also

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

Examples

df_of_draws <- modelStan("Record", paste0("Z", 1:10), "ID", DATASET, seed=1, iter = 2, chain = 1)

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