Package: TPLSr 1.0.4

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>.

Authors:Sangil Lee [aut, cre]

TPLSr_1.0.4.tar.gz
TPLSr_1.0.4.zip(r-4.5)TPLSr_1.0.4.zip(r-4.4)TPLSr_1.0.4.zip(r-4.3)
TPLSr_1.0.4.tgz(r-4.4-any)TPLSr_1.0.4.tgz(r-4.3-any)
TPLSr_1.0.4.tar.gz(r-4.5-noble)TPLSr_1.0.4.tar.gz(r-4.4-noble)
TPLSr_1.0.4.tgz(r-4.4-emscripten)TPLSr_1.0.4.tgz(r-4.3-emscripten)
TPLSr.pdf |TPLSr.html✨
TPLSr/json (API)
NEWS

# Install 'TPLSr' in R:
install.packages('TPLSr', repos = c('https://sangillee.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/sangillee/tplsr/issues

Datasets:
  • TPLSdat - Sample participant data from a left-right button press task

On CRAN:

4.00 score 4 scripts 177 downloads 6 exports 70 dependencies

Last updated 2 years agofrom:cc0f07bb8c. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 12 2024
R-4.5-winOKNov 12 2024
R-4.5-linuxOKNov 12 2024
R-4.4-winOKNov 12 2024
R-4.4-macOKNov 12 2024
R-4.3-winOKNov 12 2024
R-4.3-macOKNov 12 2024

Exports:evalTuningParammakePredictorplotTuningSurfaceTPLSTPLS_cvTPLSpredict

Dependencies:askpassbase64encbslibcachemclicolorspacecpp11crosstalkcurldata.tabledigestdplyrevaluatefansifarverfastmapfontawesomefsgenericsggplot2gluegtablehighrhtmltoolshtmlwidgetshttrisobandjquerylibjsonliteknitrlabelinglaterlatticelazyevallifecyclemagrittrMASSMatrixmemoisemgcvmimemunsellnlmeopensslpillarpkgconfigplotlypromisespurrrR6rappdirsRColorBrewerRcpprlangrmarkdownsassscalesstringistringrsystibbletidyrtidyselecttinytexutf8vctrsviridisLitewithrxfunyaml

TPLS_example1

Rendered fromTPLS_example1.Rmdusingknitr::rmarkdownon Nov 12 2024.

Last update: 2022-06-13
Started: 2022-06-13

TPLS_example2

Rendered fromTPLS_example2.Rmdusingknitr::rmarkdownon Nov 12 2024.

Last update: 2022-06-13
Started: 2022-06-13