surv_risk_m: Manually define survival risk with xgb or lgb model
In topycyao/Xsurv: A package used to model survival data from advanced machine learning algorithms
surv_risk_m R Documentation
Manually define survival risk with xgb or lgb model
Description
Find the risk level for patient under model
Usage
surv_risk_m(model, train_data, test_data, upper, lower)
Arguments
model
fitted model (xgb or lgb)
train_data
train data (only covariates)
test_data
test data (only covaraites)
upper
upper percentil cutting point
lower
lower percentil cutting point
Value
a factor vector with three different risk levels
topycyao/Xsurv documentation built on Aug. 6, 2022, 9:06 p.m.
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| surv_risk_m | R Documentation |
Manually define survival risk with xgb or lgb model
Description
Find the risk level for patient under model
Usage
surv_risk_m(model, train_data, test_data, upper, lower)
Arguments
model |
fitted model (xgb or lgb) |
train_data |
train data (only covariates) |
test_data |
test data (only covaraites) |
upper |
upper percentil cutting point |
lower |
lower percentil cutting point |
Value
a factor vector with three different risk levels
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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