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


Reference manual: TPLSr.pdf
Vignettes: TPLS_example1


Package source: TPLSr_1.0.4.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
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


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