find_best_combination_logistic: Find best combination of cutoffs for logistic regression
In RGS: Recursive Gradient Scanning Algorithm
find_best_combination_logistic R Documentation
Find best combination of cutoffs for logistic regression
Description
This function searches for the best combination of cutoffs that minimizes the Akaike Information Criterion (AIC).
Usage
find_best_combination_logistic(my_data, cutoffs_list, formula)
Arguments
my_data
A dataframe containing the data.
cutoffs_list
A list of dataframes containing the cutoffs for each variable.
formula
An object of class "formula" describing the model structure.
Value
A dataframe containing the optimal cutoff values and the AIC value.
RGS documentation built on April 4, 2025, 1:08 a.m.
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| find_best_combination_logistic | R Documentation |
Find best combination of cutoffs for logistic regression
Description
This function searches for the best combination of cutoffs that minimizes the Akaike Information Criterion (AIC).
Usage
find_best_combination_logistic(my_data, cutoffs_list, formula)
Arguments
my_data |
A dataframe containing the data. |
cutoffs_list |
A list of dataframes containing the cutoffs for each variable. |
formula |
An object of class "formula" describing the model structure. |
Value
A dataframe containing the optimal cutoff values and the AIC value.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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