Psychometric Functions from the Waller Lab R package fungible version 2.4.7 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, <DOI:10.1007/s11336-008-9066-z>. Waller, N. & Jones, J. (2009). Locating the Extrema of Fungible Regression Weights. Psychometrika, 74(4), 589-602, <DOI:10.1007/s11336-008-9087-7>. 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, <DOI:10.1007/s11336-013-9380-y>. Waller, N. G. (2018). Direct Schmid-Leiman transformations and rank-deficient loadings matrices. Psychometrika, 83, 858-870. <DOI:10.1007/s11336-017-9599-0>. Software Depends: R (>= 4.5.0) Imports: crayon (>= 1.4.1), clue, CVXR (>= 1.8.2), DEoptim, GA (>= 3.2.1), GPArotation, LaplacesDemon, lattice, MASS, MBESS (>= 4.8.0), MCMCpack, methods, mvtnorm, nleqslv, pbmcapply, Rcsdp, RSpectra, sem (>= 3.1-11), utils, graphics, grDevices Suggests: rmarkdown, knitr, covr (>= 3.5.1), testthat (>= 3.0.0), Niels Waller <nwaller@umn.edu> Comprehensive R Archive Network (CRAN) Niels Waller [aut, cre], Justin Kracht [ctb], Jeff Jones [ctb], Casey Giordano [ctb], Hoang V. Nguyen [ctb] GPL (>= 2) 2026-04-07 application/tgz https://CRAN.R-project.org/package=fungible doi:10.32614/CRAN.package.fungible