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mpae: Metodos Predictivos de Aprendizaje Estadistico (Statistical Learning Predictive Methods)

Functions and datasets used in the book: Fernandez-Casal, R., Costa, J. and Oviedo-de la Fuente, M. (2024) "Metodos predictivos de aprendizaje estadistico" <https://rubenfcasal.github.io/aprendizaje_estadistico/>.

Version: 0.1.2
Depends: R (≥ 3.5.0), graphics
Imports: caret, RcmdrMisc
Suggests: car, gbm, leaps, lmtest, glmnet, mgcv, np, NeuralNetTools, pdp, vivid, plot3D, AppliedPredictiveModeling, ISLR
Published: 2024-03-21
Author: Ruben Fernandez-Casal ORCID iD [aut, cre], Manuel Oviedo-de la Fuente ORCID iD [aut], Julian Costa-Bouzas ORCID iD [aut]
Maintainer: Ruben Fernandez-Casal <rubenfcasal at gmail.com>
BugReports: https://github.com/rubenfcasal/mpae/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/rubenfcasal/mpae
NeedsCompilation: no
Materials: README NEWS
CRAN checks: mpae results

Documentation:

Reference manual: mpae.pdf

Downloads:

Package source: mpae_0.1.2.tar.gz
Windows binaries: r-devel: mpae_0.1.2.zip, r-release: mpae_0.1.2.zip, r-oldrel: mpae_0.1.2.zip
macOS binaries: r-release (arm64): mpae_0.1.2.tgz, r-oldrel (arm64): mpae_0.1.2.tgz, r-release (x86_64): mpae_0.1.2.tgz, r-oldrel (x86_64): mpae_0.1.2.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=mpae 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.
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