Package index

Step 1: Perform simulation

Perform simulation using a survival model and a provided dataset

surv_param_sim() surv_param_sim_resample()

Simulation of parametric survival model

surv_param_sim_pre_resampled()

Simulation of parametric survival model with an already-resampled dataset

Step 2: Generate K-M and/or HR

Calculate Kaplan-Meier estimates (with median survival time) and/or hazard ratios. You can either use methods based on the simulated survival times (calc_hr_pi() and calc_km_pi()) or based on the average survival & PDF functions per treatment groups (calc_ave_hr_pi() and calc_ave_km_pi())

calc_ave_hr_pi() calc_hr_pi()

Generate hazard ratio with prediction intervals from parametric bootstrap simulation

calc_ave_km_pi() calc_km_pi()

Generate Kaplan-Meier curves with prediction intervals using simulated survival time

Step 3: Extract K-M/HR or generate plots

plot_hr_pi()

Plot simulated HR histogram(s) overlayed with prediction intervals

plot_km_pi()

Plot Kaplan-Meier curves with prediction intervals from parametric bootstrap simulation

extract_hr_pi() extract_km_pi() extract_medsurv_pi() extract_medsurv_delta_pi()

Functions to extract prediction intervals and observed data

extract_sim() extract_hr() extract_km_obs() extract_medsurv() extract_medsurv_delta()

Functions to extract raw simulated samples

S3 methods

print(<survparamsim.hrpi>) summary(<survparamsim.hrpi>) print(<survparamsim.kmpi>) summary(<survparamsim.kmpi>) print(<survparamsim>)

Methods for S3 objects in the package

Superseded

Superseded functions no longer needed

extract_median_surv()

Functions to extract prediction intervals and observed data