Package: TPLSr
Type: Package
Title: Thresholded Partial Least Squares Model for Neuroimaging Data
Version: 1.0.5
Authors@R: person("Sangil", "Lee", email = "sangillee3rd@gmail.com", role = c("aut", "cre"))
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>.
License: GPL-3
Depends: R (>= 3.5), plotly (>= 4.9.2.1)
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
RoxygenNote: 7.3.3
LazyDataCompression: xz
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Config/pak/sysreqs: cmake make libicu-dev libuv1-dev libssl-dev
Repository: https://sangillee.r-universe.dev
Date/Publication: 2025-12-19 13:20:59 UTC
RemoteUrl: https://github.com/sangillee/tplsr
RemoteRef: HEAD
RemoteSha: 1b50f25b5716885cbcecfeb2ec9d332520908be7
Packaged: 2026-06-17 08:46:05 UTC; root
Author: Sangil Lee [aut, cre]
Maintainer: Sangil Lee <sangillee3rd@gmail.com>