.parallel_sim {EFAtools}

Parallel analysis on simulated data.

Description

Function called from within PARALLEL so usually no call to this is needed by the user. Provides a C++ implementation of the PARALLEL simulation procedure

Usage

.parallel_sim(n_datasets, n_vars, N, eigen_type, maxit = 10000L)

Arguments

n_datasets

numeric. Number of datasets with dimensions (N, n_vars) to simulate.

n_vars

numeric. Number of variables / indicators in dataset.

N

numeric. Number of cases / observations in dataset.

eigen_type

numeric. Whether PCA (eigen_type = 1; i.e., leaving diagonal of correlation matrix at 1) or PAF (eigen_type = 2; i.e., setting diagonal of correlation matrix to SMCs).

maxit

numeric. Maximum iterations to perform after which to abort.