summary.REMLA {REMLA}

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().