The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.
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 |
| DOI: | 10.32614/CRAN.package.TPLSr |
| 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 |
Please use the canonical form https://CRAN.R-project.org/package=TPLSr to link to this page.
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.