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bundle
View on CRAN: Click
here
Download and install bundle package within the R console
Install from CRAN:
install.packages("bundle")
Install from Github:
library("remotes")
install_github("cran/bundle") Install by package version:
library("remotes")
install_version("bundle", "0.1.3") Attach the package and use:
library("bundle")
Maintained by
Julia Silge
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[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-09-15
Latest Update: 2024-11-12
Description:
Typically, models in 'R' exist in memory and can be saved via
regular 'R' serialization. However, some models store information in
locations that cannot be saved using 'R' serialization alone. The goal
of 'bundle' is to provide a common interface to capture this
information, situate it within a portable object, and restore it for
use in new settings.
How to cite:
Julia Silge (2022). bundle: Serialize Model Objects with a Consistent Interface. R package version 0.1.3, https://cran.r-project.org/web/packages/bundle. Accessed 09 Oct. 2026.
Previous versions and publish date:
Other packages that cited bundle R package
View bundle citation profile
Other R packages that bundle depends,
imports, suggests or enhances
Complete documentation for bundle
Functions, R codes and Examples using
the bundle R package
Some associated functions: bundle . bundle_caret . bundle_description . bundle_embed . bundle_h2o . bundle_keras . bundle_parsnip . bundle_recipe . bundle_stacks . bundle_torch . bundle_workflows . bundle_xgboost . internal_functions .
Some associated R codes: bundle.R . bundle_caret.R . bundle_embed.R . bundle_h2o.R . bundle_keras.R . bundle_parsnip.R . bundle_recipe.R . bundle_stacks.R . bundle_torch.R . bundle_workflows.R . bundle_xgboost.R . package.R . utils.R . Full bundle package functions and examples
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