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baguette  

Efficient Model Functions for Bagging
View on CRAN: Click here


Download and install baguette package within the R console
Install from CRAN:
install.packages("baguette")

Install from Github:
library("remotes")
install_github("cran/baguette")

Install by package version:
library("remotes")
install_version("baguette", "1.0.2")



Attach the package and use:
library("baguette")
Maintained by
Max Kuhn
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-04-14
Latest Update: 2024-02-13
Description:
Tree- and rule-based models can be bagged () using this package and their predictions equations are stored in an efficient format to reduce the model objects size and speed.
How to cite:
Max Kuhn (2020). baguette: Efficient Model Functions for Bagging. R package version 1.0.2, https://cran.r-project.org/web/packages/baguette
Previous versions and publish date:
0.0.1 (2020-04-14 16:20), 0.1.0 (2020-10-28 06:20), 0.1.1 (2021-07-14 19:00), 0.2.0 (2022-03-09 14:40), 1.0.0 (2022-06-17 18:00), 1.0.1 (2023-04-05 01:00)
Other packages that cited baguette R package
View baguette citation profile
Other R packages that baguette depends, imports, suggests or enhances
Functions, R codes and Examples using the baguette R package
Some associated functions: bagger . baguette-package . class_cost . control_bag . nnet_imp_garson . predict.bagger . reexports . var_imp.bagger . 
Some associated R codes: C5.0.R . aaa.R . aaa_validate.R . bag_mars_data.R . bag_nnet_data.R . bag_tree_data.R . bagger.R . bridge.R . cart.R . class_cost.R . constructor.R . cost_models.R . mars.R . misc.R . model_info.R . nnet.R . out-of-bag.R . predict.R . reexports.R . var_imp.R .  Full baguette package functions and examples
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