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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