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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 |
| Author: | Sangil Lee [aut, cre] |
| Maintainer: | Sangil Lee <sangillee3rd at gmail.com> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| CRAN checks: | TPLSr results |
| Reference manual: | TPLSr.pdf |
| Vignettes: |
TPLS_example1 TPLS_example2 |
| 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 |
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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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