Package: gpls 1.85.0
gpls: Classification using generalized partial least squares
Classification using generalized partial least squares for two-group and multi-group (more than 2 group) classification.
Authors:
gpls_1.85.0.tar.gz
gpls_1.85.0.zip(r-4.7)gpls_1.85.0.zip(r-4.6)gpls_1.85.0.zip(r-4.5)
gpls_1.85.0.tgz(r-4.6-any)gpls_1.85.0.tgz(r-4.5-any)
gpls_1.85.0.tar.gz(r-4.7-any)gpls_1.85.0.tar.gz(r-4.6-any)
gpls_1.85.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
gpls/json (API)
| # Install 'gpls' in R: |
| install.packages('gpls', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org')) |
On BioConductor:gpls-1.85.0(bioc 3.24)gpls-1.84.0(bioc 3.23)
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
classificationmicroarrayregression
Last updated from:373a417202. Checks:1 ERROR, 7 WARNING, 2 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| bioc-checks | ERROR | 129 | ||
| linux-devel-x86_64 | WARNING | 157 | ||
| source / vignettes | OK | 163 | ||
| linux-release-x86_64 | WARNING | 142 | ||
| macos-release-arm64 | WARNING | 105 | ||
| macos-oldrel-arm64 | WARNING | 78 | ||
| windows-devel | WARNING | 87 | ||
| windows-release | WARNING | 80 | ||
| windows-oldrel | WARNING | 68 | ||
| wasm-release | OK | 82 |
Exports:glpls1aglpls1a.cv.errorglpls1a.logit.allglpls1a.mlogitglpls1a.mlogit.cv.errorglpls1a.train.test.errorgpls
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Fit IRWPLS and IRWPLSF model | glpls1a |
| Leave-one-out cross-validation error using IRWPLS and IRWPLSF model | glpls1a.cv.error |
| Fit MIRWPLS and MIRWPLSF model separately for logits | glpls1a.logit.all |
| Fit MIRWPLS and MIRWPLSF model | glpls1a.mlogit |
| Leave-one-out cross-validation error using MIRWPLS and MIRWPLSF model | glpls1a.mlogit.cv.error |
| out-of-sample test set error using IRWPLS and IRWPLSF model | glpls1a.train.test.error |
| A function to fit Generalized partial least squares models. | gpls gpls.default gpls.formula print.gpls |
| A prediction method for gpls. | predict,gpls-method predict.gpls |
