dot-parallel_sim: Parallel analysis on simulated data.

In mdsteiner/EFAdiff: Fast and Flexible Implementations of Exploratory Factor Analysis Tools

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.

mdsteiner/EFAdiff documentation built on Jan. 10, 2023, 8:54 a.m.