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modelgrid  

A Framework for Creating, Managing and Training Multiple 'caret' Models
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("modelgrid", "1.2.0")



Attach the package and use:
library("modelgrid")
Maintained by
Angel Robles
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-07-13
Latest Update: 2025-09-03
Description:
A minimalistic but flexible framework that facilitates the creationmanagement and training of multiple caret models. A model grid consists oftwo components 1 a set of settings that is shared by all models bydefault and 2 specifications that apply only to the individual models.When the model grid is trained model and training specifications are firstconsolidated from the shared and the model specific settings into completecaret model configurations. These models are then trained with the trainfunction from the caret package.
How to cite:
Angel Robles (2018). modelgrid: A Framework for Creating, Managing and Training Multiple 'caret' Models. R package version 1.2.0, https://cran.r-project.org/web/packages/modelgrid. Accessed 12 Oct. 2026.
Previous versions and publish date:
(2026-07-09 06:32), 1.1.0.0 (2018-07-13 17:10), 1.1.1.0 (2018-11-04 09:20), 1.2.0 (2024-05-07 09:30)
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Complete documentation for modelgrid
Functions, R codes and Examples using the modelgrid R package
Some associated functions: add_model . consolidate_model . edit_model . model_grid . pipe . remove_model . share_settings . 
Some associated R codes: add_model.R . consolidate_model.R . edit_model.R . model_grid.R . remove_model.R . share_settings.R . train_model_grid.R . utils.R .  Full modelgrid package functions and examples
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