TInPosition-package: TInPosition: Inference Tests for Two-table _ExPosition_...

Description Details Author(s) References See Also Examples

Description

TInPosition provides multiple forms of inference tests for the TExPosition package.

Details

Package: TInPosition
Type: Package
Version: 0.13.6
Date: 2013-12-09
Depends: R (>=2.15.0), prettyGraphs (>= 2.1.4), TExPosition (>= 2.6.10), ExPosition (>= 2.8.19), InPosition (>= 0.12.7)
License: GPL-2
URL: http://www.utdallas.edu/~derekbeaton/software/ExPosition

Author(s)

Questions, comments, compliments, and complaints go to Derek Beaton exposition.software@gmail.com. Also see the bug-tracking and live update website for ExPosition: http://code.google.com/p/exposition-family/

Primary authors and contributors are: Derek Beaton, Jenny Rieck, and Hervé Abdi

References

Permutation:
Berry, K. J., Johnston, J. E., & Mielke, P. W. (2011). Permutation methods. Wiley Interdisciplinary Reviews: Computational Statistics,3, 527–542.
Peres-Neto, P. R., Jackson, D. A., & Somers, K. M. (2005). How many principal components? Stopping rules for determining the number of non-trivial axes revisited. Computational Statistics & Data Analysis, 49(4), 974–997.

Bootstrap:
Chernick, M. R. (2008). Bootstrap methods: A guide for practitioners and researchers (Vol. 619). Wiley-Interscience.
Hesterberg, T. (2011). Bootstrap. Wiley Interdisciplinary Reviews: Computational Statistics, 3, 497–526.

Two-table specific cases:
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.
Abdi, H., Williams, L.J., Beaton, D., Posamentier, M., Harris, T.S., Krishnan, A., & Devous, M.D. (2012). Analysis of regional cerebral blood flow data to discriminate among Alzheimer's disease, fronto-temporal dementia, and elderly controls: A multi-block barycentric discriminant analysis (MUBADA) methodology. Journal of Alzheimer Disease, 31, s189–s201.

See Also

tepBADA.inference.battery, tepDICA.inference.battery

Examples

1
#For more examples, see each individual function (as noted above).

TInPosition documentation built on May 2, 2019, 3:46 p.m.