plot_surv_mod: Plot parametric survival models

In Xa4P/pacheck: Probabilistic Analysis Check Package

Plot parametric survival models

Description

This function plots two parametric survival models based on he functional form of the model and their parameters.

Usage

plot_surv_mod(
  df,
  surv_mod_1,
  surv_mod_2,
  v_names_param_mod_1,
  v_names_param_mod_2,
  label_surv_1 = "first survival",
  label_surv_2 = "second survival",
  iteration,
  time = seq(0, 5, 1)
)

Arguments

df	a dataframe.
surv_mod_1	character. Name of the parametric model to use for the first survival model.
surv_mod_2	character. Name of the parametric model to use for the second survival model.
v_names_param_mod_1	(vector of) character. Name of the columns containing the parameter values for the first survival model.
v_names_param_mod_2	(vector of) character. Name of the columns containing the parameter values for the second survival model.
label_surv_1	character vector. The label to provide to the first survival curve (relevant for export).
label_surv_2	character vector. The label to provide to the second survival curve (relevant for export).
iteration	integer. The row number of the iterations for which the parametric survival models have to be plotted.
time	a numerical vector. Determine at which time points survival probabilities have to be estimated for both survival models. For each of these time points, it will be checked whether the first survival model results in higher survival probabilities than the second survival model.

Details

The parametric models that can be used are the following: exponential ('exp'), Weibull ('weibull'), gamma ('gamma'), loglogistic ('logis'), and lognormal ('lnorm'). All these functions are implemented following their distribution function as documented in the stats package.

Value

A ggplot object.

Xa4P/pacheck documentation built on April 14, 2025, 1:51 p.m.