DA.MRFA-package: Dimensionality Assesment using Minimum Rank Factor Analysis...

In navarro-gonzalez/DA.MRFA: Dimensionality Assessment using Minimum Rank Factor Analysis

Description

Package for performing Parallel Analysis using Minimum Rank Factor Analysis (MRFA) . It also include a function to perform the MRFA only and another function to compute the Greater Lower Bound step for estimating the variables communalities.

Details

For more information about the methods used in each function, please go to each main page.

Value

parallelMRFA	Performs Parallel Analysis using Minimum Rank Factor Analysis (MRFA).
mrfa	Performs Minimum Rank Factor Analysis (MRFA) procedure.
GreaterLowerBound	Estimates the communalities of the variables from a factor model.
testme	An auto-executable script for testing the functions included in DA.MRFA.

Author(s)

David Navarro-Gonzalez

Urbano Lorenzo-Seva

References

Devlin, S. J., Gnanadesikan, R., & Kettenring, J. R. (1981). Robust estimation of dispersion matrices and principal components. Journal of the American Statistical Association, 76, 354-362. http://doi.org/10.1080/01621459.1981.10477654

ten Berge, J. M. F., & Kiers, H. A. L. (1991). A numerical approach to the approximate and the exact minimum rank of a covariance matrix. Psychometrika, 56(2), 309<e2><80><93>315. http://doi.org/10.1007/BF02294464

Ten Berge, J.M.F., Snijders, T.A.B. & Zegers, F.E. (1981). Computational aspects of the greatest lower bound to reliability and constrained minimum trace factor analysis. Psychometrika, 46, 201-213.

Timmerman, M. E., & Lorenzo-Seva, U. (2011). Dimensionality assessment of ordered polytomous items with parallel analysis. Psychological Methods, 16(2), 209-220. http://doi.org/10.1037/a0023353

Examples

## Each man page contains examples of each function. For a fast global example use
testme(example = TRUE)

navarro-gonzalez/DA.MRFA documentation built on May 23, 2019, 12:23 p.m.