evaluate_model_logistic: Evaluate logistic regression model with cutoffs
In RGS: Recursive Gradient Scanning Algorithm
evaluate_model_logistic R Documentation
Evaluate logistic regression model with cutoffs
Description
This function evaluates the logistic regression model by creating exposure variables based on the cutoffs and fitting the model.
Usage
evaluate_model_logistic(my_data, cutoffs, formula)
Arguments
my_data
A dataframe containing the data.
cutoffs
A list of dataframes containing the cutoffs for each variable.
formula
An object of class "formula" describing the model structure.
Value
A dataframe summarizing the model evaluation metrics.
RGS documentation built on April 4, 2025, 1:08 a.m.
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.
| evaluate_model_logistic | R Documentation |
Evaluate logistic regression model with cutoffs
Description
This function evaluates the logistic regression model by creating exposure variables based on the cutoffs and fitting the model.
Usage
evaluate_model_logistic(my_data, cutoffs, formula)
Arguments
my_data |
A dataframe containing the data. |
cutoffs |
A list of dataframes containing the cutoffs for each variable. |
formula |
An object of class "formula" describing the model structure. |
Value
A dataframe summarizing the model evaluation metrics.
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.