| controlREM {REMLA} | R Documentation |
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 (bortiztorres@wisc.edu); Kenneth Nieser (nieser@stanford.edu)
References
Nieser, K. J., & Cochran, A. L. (2021). Addressing heterogeneous populations in latent variable settings through robust estimation. Psychological Methods.