Package: gpls 1.79.0
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_1.79.0.tar.gz
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gpls_1.79.0.tgz(r-4.4-any)gpls_1.79.0.tgz(r-4.3-any)
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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 22 days agofrom:eb0ca4c687. Checks:OK: 1 WARNING: 6. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 31 2024 |
R-4.5-win | WARNING | Oct 31 2024 |
R-4.5-linux | WARNING | Oct 31 2024 |
R-4.4-win | WARNING | Oct 31 2024 |
R-4.4-mac | WARNING | Oct 31 2024 |
R-4.3-win | WARNING | Oct 31 2024 |
R-4.3-mac | WARNING | Oct 31 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 |