Xsurv_predict_sv: This function allows you to predict a patient's survival...
In topycyao/Xsurv: A package used to model survival data from advanced machine learning algorithms
View source: R/Xsurv_predict.R
Xsurv_predict_sv R Documentation
This function allows you to predict a patient's survival curve
Description
This function allows you to predict a patient's survival curve
Usage
Xsurv_predict_sv(model, x_train, y_train, x_new, nc = 25)
Arguments
model
xgboost or lightgbm model object
x_train
X train data set
y_train
Y trian data set
nc
number of cutting points defaut is 25, and 20-30 is recommended
x_test
X test data set
nq
quantile of train data time in each cut group for prediction time
Value
predicted survival probabilty
topycyao/Xsurv documentation built on Aug. 6, 2022, 9:06 p.m.
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View source: R/Xsurv_predict.R
| Xsurv_predict_sv | R Documentation |
This function allows you to predict a patient's survival curve
Description
This function allows you to predict a patient's survival curve
Usage
Xsurv_predict_sv(model, x_train, y_train, x_new, nc = 25)
Arguments
model |
xgboost or lightgbm model object |
x_train |
X train data set |
y_train |
Y trian data set |
nc |
number of cutting points defaut is 25, and 20-30 is recommended |
x_test |
X test data set |
nq |
quantile of train data time in each cut group for prediction time |
Value
predicted survival probabilty
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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