Psychometric Functions from the Waller Lab

Computes fungible coefficients and Monte Carlo data. Underlying theory for these functions is described in the following publications: Waller, N. (2008). Fungible Weights in Multiple Regression. Psychometrika, 73(4), 691-703, . Waller, N. & Jones, J. (2009). Locating the Extrema of Fungible Regression Weights. Psychometrika, 74(4), 589-602, . Waller, N. G. (2016). Fungible Correlation Matrices: A Method for Generating Nonsingular, Singular, and Improper Correlation Matrices for Monte Carlo Research. Multivariate Behavioral Research, 51(4), 554-568, . Jones, J. A. & Waller, N. G. (2015). The normal-theory and asymptotic distribution-free (ADF) covariance matrix of standardized regression coefficients: theoretical extensions and finite sample behavior. Psychometrika, 80, 365-378, . Waller, N. G. (2018). Direct Schmid-Leiman transformations and rank-deficient loadings matrices. Psychometrika, 83, 858-870. .


Reference manual

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1.99 by Niels Waller, 4 months ago

Browse source code at

Authors: Niels Waller [aut, cre] , Jeff Jones [ctb] , Casey Giordano [ctb]

Documentation:   PDF Manual  

GPL (>= 2) license

Imports clue, GPArotation, lattice, MASS, methods, mvtnorm, nleqslv, Rcsdp, RSpectra, utils, graphics, grDevices

Suggests rmarkdown, knitr

Imported by vampyr.

Suggested by insight.

See at CRAN