plot_survival_km: Diagnostic and Visualization Suite for MultiFrailty Models

In MultiFrailty: Shared Frailty Regression Models with Inverse Gaussian, Generalized Lindley, and Gamma Frailty Distributions

Diagnostic and Visualization Suite for MultiFrailty Models

Description

Provides specialized plotting capabilities for fitted shared frailty models, including frailty density overlays across all five families, baseline hazard curves, Kaplan-Meier survival curves, residual diagnostic plots, coefficient forest plots, and influence diagnostic plots.

Usage

plot_survival_km(fit)

Arguments

fit	A fitted object of class "multifrailty_fit".

Value

No return value, called for side effects (displays a Kaplan-Meier survival curve with fitted MultiFrailty model overlay).

References

Pandey, A., Hanagal, D. D., & Tyagi, S. (2022). Shared Frailty Models Based on Cancer Data. International Journal of Statistics and Reliability Engineering, 9(3), 461-474.

Pandey, A., & Tyagi, S. (2021). Comparison of Multiplicative Frailty Models Under Weibull Baseline Distribution. Lobachevskii Journal of Mathematics, 42(13), 3184-3195.

Examples

set.seed(123)
dat <- r_frailty(n = 60, baseline = "weibull", bpar = c(2, 1.5), frailty = "gamma", fpar = c(0.8))
fit <- fit_frailty(time = dat$time, status = dat$status, baseline = "weibull", frailty = "gamma")
plot_survival_km(fit)

MultiFrailty documentation built on Aug. 8, 2026, 1:07 a.m.