Man pages for survkl
Estimate Survival Data with Data Integration

cal_surv_probCalculate Survival Probabilities
coef.coxklExtract Coefficients from a 'coxkl' Object
coef.coxkl_enetExtract Coefficients from a 'coxkl_enet' Object
coef.coxkl_ridgeExtract Coefficients from a 'coxkl_ridge' Object
coxklCox Proportional Hazards Model with KL Divergence for Data...
coxkl_enetCox Proportional Hazards Model with KL Divergence for Data...
coxkl_ridgeCox Proportional Hazards Model with Ridge Penalty and...
cv.coxklCross-Validated Selection of Integration Parameter ('eta')...
cv.coxkl_enetCross-Validation for CoxKL Model with elastic net & lasso...
cv.coxkl_ridgeCross-Validation for CoxKL Ridge Model (eta tuning)
cv.plotPlot Cross-Validation Results vs Eta
ExampleData_highdimExample high-dimensional survival data
ExampleData_lowdimExample low-dimensional survival data
generate_etaGenerate a Sequence of Tuning Parameters (eta)
loss_fnCalculate the Log-Partial Likelihood for a Stratified Cox...
plot.coxklPlot Model Performance vs Eta for 'coxkl'
plot.coxkl_enetPlot Model Performance vs Lambda for 'coxkl_enet'
plot.coxkl_ridgePlot Model Performance vs Lambda for 'coxkl_ridge'
predict.coxklPredict Linear Predictors from a 'coxkl' Object
predict.coxkl_enetPredict Linear Predictors from a coxkl_enet Object
predict.coxkl_ridgePredict Linear Predictors from a coxkl_ridge Object
supportStudy to Understand Prognoses Preferences Outcomes and Risks...
test_evalEvaluate model performance on test data
survkl documentation built on April 22, 2026, 1:08 a.m.