summary.REMLA: Summary for Robust Estimation Maximization

In REMLA: Robust Expectation-Maximization Estimation for Latent Variable Models

Summary for Robust Estimation Maximization

Description

Summary method for class "REMLA".

Usage

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

Arguments

object	an object of class "REMLA", usually a result of a call to REM_EFA.
...	further arguments passed to or from other methods.

Value

The summary.REM function returns estimated parameters from the optimal model based on the BIC from the EM and REM algorithms.

Output include:

optimal	optimal number of factors based on BIC
mu	intercept
lambda	loadings
psi	variance
indk_lik	likelihood value for each individual
epsilon	hyperparameter on the likelihood scale
diff	differences between EM and REM

Author(s)

Bryan Ortiz-Torres ([e-mail]); Kenneth Nieser ([e-mail])

References

Nieser, K. J., & Cochran, A. L. (2021). Addressing heterogeneous populations in latent variable settings through robust estimation. Psychological Methods.

See Also

the model fitting function REM_EFA(), summary().

REMLA documentation built on May 29, 2024, 12:06 p.m.