S original by Doug Nychka <nychka@stat.ncsu.edu>
R port by Albrecht Gebhardt <albrecht.gebhardt@uni-klu.ac.at>.
FUNFITS is an integrated set of S-PLUS functions for fitting
curves and surfaces and includes thin plate splines, kriging
and neural networks.

Fungible Coefficients and Monte Carlo Functions
Niels G. Waller <nwaller@umn.edu> and Jeff Jones <jeff.jones@kornferry.com>
e1071, lattice, MASS, mvtnorm, R2Cuba, stringr, methods
Functions for computing fungible coefficients and Monte Carlo data.

e1071, lattice, MASS, mvtnorm, R2Cuba, stringr, nleqslv,
methods

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>.

Psychometric Functions from the Waller Lab
c(
person("Niels", "Waller", role = c("aut", "cre"), email="nwaller@umn.edu" ),
person("Jeff","Jones", role = "ctb"))
clue, e1071, GPArotation, lattice, MASS, methods, mvtnorm,
nleqslv, psych, Rcsdp, RSpectra, stringr
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>.