Build and Tune Several Models

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Documentation for package ‘manymodelr’ version 0.3.7

• DESCRIPTION file.
• User guides, package vignettes and other documentation.

Help Pages

add_model_predictions	Add predictions to the data set. A dplyr compatible way to add predictions to a data set.
add_model_residuals	Add model residuals
agg_by_group	A convenient way to perform grouped operations
drop_non_numeric	Drops non numeric columns from a data.frame object
extract_model_info	Extract important model attributes
fit_model	Fit and predict in a single function.
fit_models	Fit several models with different response variables
get_data_Stats	A pipe friendly way to get summary stats for exploratory data analysis
get_exponent	Get the exponent of any number or numbers
get_mode	A convenience function that returns the mode
get_stats	A pipe friendly way to get summary stats for exploratory data analysis
get_this	Helper function to easily access elements
get_var_corr	Get correlations between variables
get_var_corr_	Get correlations for combinations
multi_model_1	Simultaneously train and predict on new data.
multi_model_2	Fit and predict in one function
na_replace	Replace missing values
na_replace_grouped	Replace NAs by group
plot_corr	Plot a correlations matrix
rowdiff	Get row differences between values
select_col	A convenient selector gadget
select_percentile	Get the row corresponding to a given percentile
yields	Plant yields