Package: gpls 1.79.0
Bioconductor Package Maintainer
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_1.79.0.tar.gz
gpls_1.79.0.zip(r-4.5)gpls_1.79.0.zip(r-4.4)gpls_1.79.0.zip(r-4.3)
gpls_1.79.0.tgz(r-4.4-any)gpls_1.79.0.tgz(r-4.3-any)
gpls_1.79.0.tar.gz(r-4.5-noble)gpls_1.79.0.tar.gz(r-4.4-noble)
gpls_1.79.0.tgz(r-4.4-emscripten)gpls_1.79.0.tgz(r-4.3-emscripten)
gpls.pdf |gpls.html✨
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-1.79.0(bioc 3.21)gpls-1.78.0(bioc 3.20)
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
classificationmicroarrayregression
Last updated 2 months agofrom:eb0ca4c687. Checks:OK: 1 WARNING: 6. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 30 2024 |
| R-4.5-win | WARNING | Nov 30 2024 |
| R-4.5-linux | WARNING | Nov 30 2024 |
| R-4.4-win | WARNING | Nov 30 2024 |
| R-4.4-mac | WARNING | Nov 30 2024 |
| R-4.3-win | WARNING | Nov 30 2024 |
| R-4.3-mac | WARNING | Nov 30 2024 |
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 |
