| TExPosition-package | R Documentation |
TExPosition is two-table ExPosition and includes discriminant
methods of the singular value decomposition (SVD). The core of TExPosition
is ExPosition and the svd.
Questions, comments, compliments, and complaints go to Derek Beaton
exposition.software@gmail.com.
The following people are authors or contributors to TExPosition code, data,
or examples:
Derek Beaton, Jenny Rieck, Cherise Chin-Fatt, Francesca
Filbey, Ju-Chi Yu, Luke Moraglia, and Hervé Abdi.
Abdi, H., and Williams, L.J. (2010). Principal component
analysis. Wiley Interdisciplinary Reviews: Computational Statistics,
2, 433-459.
Abdi, H. and Williams, L.J. (2010). Correspondence analysis.
In N.J. Salkind, D.M., Dougherty, & B. Frey (Eds.): Encyclopedia of
Research Design. Thousand Oaks (CA): Sage. pp. 267-278.
Abdi, H. (2007).
Singular Value Decomposition (SVD) and Generalized Singular Value
Decomposition (GSVD). In N.J. Salkind (Ed.): Encyclopedia of
Measurement and Statistics.Thousand Oaks (CA): Sage. pp. 907-912.
Abdi,
H. & Williams, L.J. (2010). Barycentric discriminant analysis (BADIA). In
N.J. Salkind, D.M., Dougherty, & B. Frey (Eds.): Encyclopedia of
Research Design. Thousand Oaks (CA): Sage. pp. 64-75.
Abdi, H. (2007).
Discriminant correspondence analysis. In N.J. Salkind (Ed.):
Encyclopedia of Measurement and Statistics. Thousand Oaks (CA): Sage.
pp. 270-275. Krishnan, A., Williams, L. J., McIntosh, A. R., & Abdi, H.
(2011). Partial Least Squares (PLS) methods for neuroimaging: A tutorial and
review. NeuroImage, 56(2), 455 – 475.
McIntosh, A.
R., & Lobaugh, N. J. (2004). Partial least squares analysis of neuroimaging
data: applications and advances. Neuroimage, 23,
S250–S263.
tepBADA, tepPLS, tepDICA,
tepPLSCA
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