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TPLSr
View on CRAN: Click
here
Download and install TPLSr package within the R console
Install from CRAN:
install.packages("TPLSr")
Install from Github:
library("remotes")
install_github("cran/TPLSr")
Install by package version:
library("remotes")
install_version("TPLSr", "1.0.4")
Attach the package and use:
library("TPLSr")
Maintained by
Sangil Lee
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-11-02
Latest Update: 2022-06-10
Description:
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>.
How to cite:
Sangil Lee (2020). TPLSr: Thresholded Partial Least Squares Model for Neuroimaging Data. R package version 1.0.4, https://cran.r-project.org/web/packages/TPLSr. Accessed 06 May. 2025.
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Other R packages that TPLSr depends,
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Complete documentation for TPLSr
Functions, R codes and Examples using
the TPLSr R package
Some associated functions: TPLS . TPLS_cv . TPLSdat . TPLSpredict . evalTuningParam . makePredictor . plotTuningSurface .
Some associated R codes: TPLS.R . TPLS_cv.R . TPLSinputchecker.R . data.R . evalTuningParam.R . Full TPLSr package functions and examples
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