Package index • cifmodeling

Nonparametric estimation and visualization

cifcurve(): Calculate the Kaplan-Meier estimator and the Aalen-Johansen estimator
cifplot(): Generate a survival/CIF curve with marks that represent censoring, competing risks and intercurrent events
cifpanel(): Arrange multiple survival and CIF plots in a panel display
cifflowchart(): Create a flowchart of exclusions, treatment groups, and outcome status

Direct polytomous regression

polyreg(): Fit coherent regression models of CIFs using polytomous log odds products
coef(<polyreg>) vcov(<polyreg>) nobs(<polyreg>) summary(<polyreg>) print(<summary.polyreg>) effect_label.polyreg() tidy(<polyreg>) glance(<polyreg>) augment(<polyreg>): Methods for polyreg objects

Data

diabetes.complications: Data from a cohort study of patients with type 2 diabetes
prostate: Data from a prostate cancer trial in Byer & Green (1980)

Helpers

extract_time_to_event(): Extract per-stratum event times from a formula and data
Event(): Create a survival or competing-risks response