dot-parallel_sim: Parallel analysis on simulated data.

In EFAtools: Fast and Flexible Implementations of Exploratory Factor Analysis Tools

Parallel analysis on simulated data.

Description

Function called from within efa_parallel() so usually no call to this is needed by the user. Provides a C++ implementation of the efa_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), SMC (eigen_type = 2; i.e., setting diagonal of correlation matrix to SMCs), or both from the same simulated datasets (eigen_type = 3), in which case the returned matrix holds the PCA eigenvalues in the first n_vars columns and the SMC eigenvalues in the next n_vars.
maxit	numeric. Maximum iterations to perform after which to abort.

EFAtools documentation built on Aug. 21, 2026, 5:16 p.m.