Package index • seerSurv

Main analysis wrapper

End-to-end function for a single tumour type

run_tumour_analysis(): Estimate Cancer-Recurrence Transition Probabilities for One Tumour Type

Individual functions that run_tumour_analysis() calls internally, exposed for custom workflows.

prep_ipd(): Prepare Pseudo-Individual Patient Data from Aggregate Survival Proportions
fit_models(): Fit a Panel of Parametric Survival Models to Pseudo-IPD
extract_ic(): Extract Information Criteria from a List of Parametric Survival Models
compute_weights(): Compute Relative-Likelihood Weights for Model Averaging
blend_survival(): Blend Parametric Survival Curves Using Model-Averaging Weights
predict_surv(): Predict Survival from a Single flexsurvreg Model
make_background_surv(): Construct Background (All-Cause) Survival from a US-CDC Life-Table
rmst(): Compute the Restricted Mean Survival Time (Trapezoidal Rule)

plot_survival_curves(): Plot Blended Survival Curves for LR and DR Populations

lifetable_seer: US-CDC Life-Table for SEER-17 Background Mortality Adjustment
tumour_data_seer: SEER-17 Five-Year Aggregate Survival Data for 11 Cancer Types

seerSurv seerSurv-package: seerSurv: Cancer Progression Transition Probabilities from Aggregate Survival Data