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manymodelr
View on CRAN: Click
here
Download and install manymodelr package within the R console
Install from CRAN:
install.packages("manymodelr")
Install from Github:
library("remotes")
install_github("cran/manymodelr") Install by package version:
library("remotes")
install_version("manymodelr", "0.4.0") Attach the package and use:
library("manymodelr")
Maintained by
Nelson Gonzabato
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-03-02
Latest Update: 2025-03-20
Description:
Frequently one needs a convenient way to build and tune
several models in one go.The goal is to provide a number of machine learning convenience
functions. It provides the ability to build, tune and obtain predictions of
several models in one function. The models are built using functions from
'caret' with easier to read syntax.
Kuhn(2014) .
How to cite:
Nelson Gonzabato (2019). manymodelr: Build and Tune Several Models. R package version 0.4.0, https://cran.r-project.org/web/packages/manymodelr. Accessed 04 Jun. 2026.
Previous versions and publish date:
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imports, suggests or enhances
Complete documentation for manymodelr
Functions, R codes and Examples using
the manymodelr R package
Some associated functions: add_model_predictions . add_model_residuals . agg_by_group . drop_non_numeric . extract_model_info . fit_model . fit_models . get_data_Stats . get_exponent . get_mode . get_this . get_var_corr . get_var_corr_ . multi_model_1 . multi_model_2 . na_replace . na_replace_grouped . plot_corr . rowdiff . select_col . select_percentile . yields .
Some associated R codes: add_model_predictions.R . agg_by_group.R . data.R . extract_model_info.R . fit_model.R . get_exponent.R . get_mode.R . get_stats.R . get_this.R . get_var_corr.R . get_var_corr_.R . helpers.R . multi_model_1.R . multi_model_2.R . na_replace.R . na_replace_grouped.R . plot_corr.R . rowdiff.R . select_col.R . select_percentile.R . zzz.R . Full manymodelr package functions and examples
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