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stacking
View on CRAN: Click
here
Download and install stacking package within the R console
Install from CRAN:
install.packages("stacking")
Install from Github:
library("remotes")
install_github("cran/stacking")
Install by package version:
library("remotes")
install_version("stacking", "0.2.1")
Attach the package and use:
library("stacking")
Maintained by
Akio Onogi
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.stacking . stacking results . stacking.pdf . stacking_0.2.1.tar.gz . stacking_0.2.1.zip . stacking_0.2.1.zip . stacking_0.2.1.zip . stacking_0.2.1.tgz . stacking_0.2.1.tgz . stacking_0.2.1.tgz . stacking_0.2.1.tgz . stacking archive . https://CRAN.R-project.org/package=stacking .
First Published: 2023-06-11
Latest Update: 2023-09-01
Description:
Building predictive models with stacking which is a type of ensemble learning. Learners can be specified from those implemented in 'caret'. For more information of the package, see Nukui and Onogi (2023) <doi:10.1101/2023.06.06.543970>.
How to cite:
Akio Onogi (2023). stacking: Building Predictive Models with Stacking. R package version 0.2.1, https://cran.r-project.org/web/packages/stacking. Accessed 18 Apr. 2025.
Previous versions and publish date:
Other packages that cited stacking R package
View stacking citation profile
Other R packages that stacking depends,
imports, suggests or enhances
Complete documentation for stacking
Functions, R codes and Examples using
the stacking R package
Some associated functions: stacking_predict . stacking_train . train_basemodel . train_basemodel_core . train_metamodel .
Some associated R codes: stacking_predict.R . stacking_train.R . train_basemodel.R . train_basemodel_core.R . train_metamodel.R . Full stacking package functions and examples
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