Package: fungible
Version: 1.75
Date: 2018-11-16
Title: Psychometric Functions from the Waller Lab
Author: c(
person("Niels", "Waller", role = c("aut", "cre"), email="nwaller@umn.edu" ),
person("Jeff","Jones", role = "ctb"))
Maintainer: Niels G. Waller <nwaller@umn.edu>
Depends: R (>= 3.0)
Imports: clue, e1071, GPArotation, lattice, MASS, methods, mvtnorm,
nleqslv, psych, Rcsdp, RSpectra, stringr
Description: 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, <DOI10.1007/s11336-008-9066-z>.
Waller, N. & Jones, J. (2009). Locating the Extrema of Fungible Regression Weights.
Psychometrika, 74(4), 589-602, <DOI10.1007/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, <DOI10.1080/00273171.2016.1178566>.
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, <DOI10.1007/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>.
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2018-11-16 20:34:46 UTC; nielswaller
Repository: CRAN
Date/Publication: 2018-11-18 00:50:14 UTC

Waller, N. (2008). Fungible Weights in Multiple Regression. Psychometrika, 73(4), 691-703, <DOI:10.1007/s11336-008-9066-z>.
Monte Carlo Research. Multivariate Behavioral Research, 51(4), 554-568, <DOI:10.1080/00273171.2016.1178566>.
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>.
Packaged: 2019-01-24 23:01:25 UTC; nielswaller