plot_ppsurv: Plotting percent-percent plots for parametric fitting of data

In parmsurvfit: Parametric Models for Survival Data

Description

Creates percent-percent plot of right censored data given that it follows a specified parametric distribution.

Usage

plot_ppsurv(data, dist, time = "time", censor = "censor")

Arguments

data	A dataframe containing a time column and a censor column.
dist	A string name for a distribution that has a corresponding density function and distribution function. Examples include "norm", "lnorm", "exp", "weibull", "logis", "llogis", "gompertz", etc.
time	The string name of the time column of the dataframe. Defaults to "time".
censor	The string name of the censor column of the dataframe. Defaults to "censor". The censor column must be a numeric indicator variable where complete times correspond to a value of 1 and incomplete times correspond to 0.

Examples

data("rearrest")
plot_ppsurv(rearrest, "weibull", time = "months")
plot_ppsurv(rearrest, "exp", time = "months")

parmsurvfit documentation built on May 2, 2019, 5:41 a.m.