models_pro: Run Multiple Prognostic Models
In E2E: Ensemble Learning Framework for Diagnostic and Prognostic Modeling
models_pro R Documentation
Run Multiple Prognostic Models
Description
High-level API to train and evaluate multiple survival models in batch.
Usage
models_pro(
data,
model = "all_pro",
tune = FALSE,
seed = 123,
time_unit = "day",
years_to_evaluate = c(1, 3, 5)
)
Arguments
data
Input data frame.
model
Character vector of model names or "all_pro".
tune
Logical. Enable hyperparameter tuning?
seed
Random seed.
time_unit
Time unit of input.
years_to_evaluate
Years for AUC calculation.
Value
A list of model results.
E2E documentation built on March 22, 2026, 1:07 a.m.
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| models_pro | R Documentation |
Run Multiple Prognostic Models
Description
High-level API to train and evaluate multiple survival models in batch.
Usage
models_pro(
data,
model = "all_pro",
tune = FALSE,
seed = 123,
time_unit = "day",
years_to_evaluate = c(1, 3, 5)
)
Arguments
data |
Input data frame. |
model |
Character vector of model names or "all_pro". |
tune |
Logical. Enable hyperparameter tuning? |
seed |
Random seed. |
time_unit |
Time unit of input. |
years_to_evaluate |
Years for AUC calculation. |
Value
A list of model results.
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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