Building Cox Models
Functions for building penalized Cox models.

fit_lasso()

Model selection for highdimensional Cox models with lasso penalty 
fit_alasso()

Model selection for highdimensional Cox models with adaptive lasso penalty 
fit_enet()

Model selection for highdimensional Cox models with elasticnet penalty 
fit_aenet()

Model selection for highdimensional Cox models with adaptive elasticnet penalty 
fit_scad()

Model selection for highdimensional Cox models with SCAD penalty 
fit_snet()

Model selection for highdimensional Cox models with Snet penalty 
fit_mcp()

Model selection for highdimensional Cox models with MCP penalty 
fit_mnet()

Model selection for highdimensional Cox models with Mnet penalty 
fit_flasso()

Model selection for highdimensional Cox models with fused lasso penalty 
print(<hdnom.model>)

Print highdimensional Cox model objects 
predict(<hdnom.model>)

Make predictions from highdimensional Cox models 
infer_variable_type()

Extract information of selected variables from highdimensional Cox models 
Model Validation
Functions for model validation using bootstrap, kfold crossvalidation, and repeated kfold crossvalidation. Model performance is assessed by timedependent AUC (tAUC).

validate()

Validate highdimensional Cox models with timedependent AUC 
print(<hdnom.validate>)

Print validation results 
summary(<hdnom.validate>)

Summary of validation results 
plot(<hdnom.validate>)

Plot optimismcorrected timedependent discrimination curves for validation 
validate_external()

Externally validate highdimensional Cox models with timedependent AUC 
print(<hdnom.validate.external>)

Print external validation results 
summary(<hdnom.validate.external>)

Summary of external validation results 
plot(<hdnom.validate.external>)

Plot timedependent discrimination curves for external validation 
Model Calibration
Functions for model calibration using direct fitting, bootstrap resampling, kfold crossvalidation, and repeated crossvalidation.

calibrate()

Calibrate highdimensional Cox models 
print(<hdnom.calibrate>)

Print calibration results 
summary(<hdnom.calibrate>)

Summary of calibration results 
plot(<hdnom.calibrate>)

Plot calibration results 
calibrate_external()

Externally calibrate highdimensional Cox models 
print(<hdnom.calibrate.external>)

Print external calibration results 
summary(<hdnom.calibrate.external>)

Summary of external calibration results 
plot(<hdnom.calibrate.external>)

Plot external calibration results 
kmplot()

KaplanMeier plot with number at risk table for internal calibration and
external calibration results 
logrank_test()

Logrank test for internal calibration and external calibration results 
Model Comparison
Functions for model comparison in terms of validation and calibration performance.

compare_by_validate()

Compare highdimensional Cox models by model validation 
print(<hdnom.compare.validate>)

Print model comparison by validation results 
summary(<hdnom.compare.validate>)

Summary of model comparison by validation results 
plot(<hdnom.compare.validate>)

Plot model comparison by validation results 
compare_by_calibrate()

Compare highdimensional Cox models by model calibration 
print(<hdnom.compare.calibrate>)

Print model comparison by calibration results 
summary(<hdnom.compare.calibrate>)

Summary of model comparison by calibration results 
plot(<hdnom.compare.calibrate>)

Plot model comparison by calibration results 