Package index

Fitting

coxtrans()

Transfer Learning Cox Model with Prior Constraints

cv.coxtrans() coef(<cv.coxtrans>) predict(<cv.coxtrans>)

Cross-validated tuning for coxtrans

Inference

logLik(<coxtrans>)

Log-likelihood for a coxtrans object

coef(<coxtrans>)

Extract the coefficients from a coxtrans object

vcov(<coxtrans>)

Variance-covariance matrix for a coxtrans object.

summary(<coxtrans>)

Summary method for a coxtrans object

print(<coxtrans>)

Print method for a coxtrans object

print(<summary.coxtrans>)

Print method for a summary.coxtrans object

diagnose(<coxtrans>)

Diagnose Cox Transfer Model's Optimization Process

refit()

Refit a coxtrans model with hard constraints

Prediction

basehaz(<coxtrans>)

Predict the cumulative baseline hazard function for coxtrans objects

predict(<coxtrans>)

Prediction method for coxtrans objects.

plot(<cv.coxtrans>)

Plot cross-validation curve for a cv.coxtrans object

Utils

calc_lambda_max()

Calculate the maximum value of the penalty parameter lambda

survtrans_control()

Ancillary arguments for controlling survtrans fitting

simsurv_tl()

Simulate survival data for a multi-source Cox model

ncvcox()

Non-convex penalized Cox proportional hazards model

logLik(<ncvcox>)

Log-likelihood for a ncvcox object

coef(<ncvcox>)

Extract the coefficients from a ncvcox object

vcov(<ncvcox>)

Variance-covariance matrix for a ncvcox object.

summary(<ncvcox>)

Summary method for a ncvcox object

print(<summary.ncvcox>)

Print method for a summary.ncvcox object

predict(<ncvcox>)

Prediction method for ncvcox objects.

basehaz(<ncvcox>)

Predict the cumulative baseline hazard function for ncvcox objects

diagnose()

Generic function for diagnose

preprocess()

Preprocess Survival Data

Data Sets

sim2

Simulated Group Survival Data: Multiple-source Transfer Learning