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TPLSr: Thresholded Partial Least Squares Model for Neuroimaging Data

Uses thresholded partial least squares algorithm to create a regression or classification model. For more information, see Lee, Bradlow, and Kable <doi:10.1016/j.crmeth.2022.100227>.

Version: 1.0.4
Depends: R (≥ 3.5), plotly (≥ 4.9.2.1)
Suggests: knitr, rmarkdown
Published: 2022-06-10
DOI: 10.32614/CRAN.package.TPLSr
Author: Sangil Lee [aut, cre]
Maintainer: Sangil Lee <sangillee3rd at gmail.com>
License: GPL-3
NeedsCompilation: no
Materials: README NEWS
CRAN checks: TPLSr results

Documentation:

Reference manual: TPLSr.pdf
Vignettes: TPLS_example1
TPLS_example2

Downloads:

Package source: TPLSr_1.0.4.tar.gz
Windows binaries: r-devel: TPLSr_1.0.4.zip, r-release: TPLSr_1.0.4.zip, r-oldrel: TPLSr_1.0.4.zip
macOS binaries: r-release (arm64): TPLSr_1.0.4.tgz, r-oldrel (arm64): TPLSr_1.0.4.tgz, r-release (x86_64): TPLSr_1.0.4.tgz, r-oldrel (x86_64): TPLSr_1.0.4.tgz
Old sources: TPLSr archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=TPLSr to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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