evaluate_model_cox: Evaluate model with cutoffs Evaluates the model by creating...
In RGS: Recursive Gradient Scanning Algorithm
evaluate_model_cox R Documentation
Evaluate model with cutoffs
Evaluates the model by creating exposure variables based on the cutoffs and fitting a Cox model.
Description
Evaluate model with cutoffs
Evaluates the model by creating exposure variables based on the cutoffs and fitting a Cox model.
Usage
evaluate_model_cox(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.
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| evaluate_model_cox | R Documentation |
Evaluate model with cutoffs Evaluates the model by creating exposure variables based on the cutoffs and fitting a Cox model.
Description
Evaluate model with cutoffs Evaluates the model by creating exposure variables based on the cutoffs and fitting a Cox model.
Usage
evaluate_model_cox(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.
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