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Provides functions for fitting a sparse partial least squares (SPLS) regression and classification (Chun and Keles (2010) <doi:10.1111/j.1467-9868.2009.00723.x>).
Version: | 2.2-3 |
Depends: | R (≥ 2.14) |
Imports: | MASS, nnet, parallel, pls |
Published: | 2019-05-04 |
DOI: | 10.32614/CRAN.package.spls |
Author: | Dongjun Chung, Hyonho Chun, Sunduz Keles |
Maintainer: | Valentin Todorov <valentin.todorov at chello.at> |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
NeedsCompilation: | no |
Materials: | ChangeLog |
In views: | ChemPhys |
CRAN checks: | spls results |
Reference manual: | spls.pdf |
Vignettes: |
Sparse PLS |
Package source: | spls_2.2-3.tar.gz |
Windows binaries: | r-devel: spls_2.2-3.zip, r-release: spls_2.2-3.zip, r-oldrel: spls_2.2-3.zip |
macOS binaries: | r-release (arm64): spls_2.2-3.tgz, r-oldrel (arm64): spls_2.2-3.tgz, r-release (x86_64): spls_2.2-3.tgz, r-oldrel (x86_64): spls_2.2-3.tgz |
Old sources: | spls archive |
Reverse imports: | bootPLS, enpls, rrcovHD, SelectBoost, SmCCNet |
Reverse suggests: | caret, flowml, fscaret, joinet, Patterns, subsemble, SuperLearner, superMICE |
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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.