controlREM: Control parameters for REM package

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

Control parameters for REM package

Description

Control parameters for REM package

Usage

controlREM(
  steps = 25,
  tol = 1e-06,
  maxiter = 1000,
  min_weights = 1e-30,
  max_ueps = 0.3,
  chk_gamma = 0.9,
  n = 20000
)

Arguments

steps	number of steps in binary search for optimal epsilon value (default = 25)
tol	tolerance parameter to check for convergence of EM and REM algorithm (default = 1e-6)
maxiter	maximum number iterations of EM and REM algorithm (default = 1e3)
min_weights	lower bound for the individual weights estimated by REM (default = 1e-30)
max_ueps	percentile of the distribution of likelihood values to use as the maximum epsilon value to consider
chk_gamma	gamma value used when searching for epsilon
n	sample size of simulated data used when checking heuristic criterion in the epsilon search

Value

control parameters used in the REM package (steps, tol, maxiter, min_weights, ueps, n).

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

REM_EFA(), REM_CFA()

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