fit_data: Fitting right censored survival data to distribution

In parmsurvfit: Parametric Models for Survival Data

Description

Fits right censored data to a distribution using maximum likelihood estimates.

Usage

fit_data(data, dist, time = "time", censor = "censor", by = "")

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 a 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.
by	The string name of a grouping variable. If specified, the function returns a list. The list will be in alphabetic order of the values in the by column. Variable can contain logical, string, character, or numeric data.

See Also

fitdistcens

Examples

data("rearrest")
fit_data(rearrest, "lnorm", time = "months")

fit_data(rearrest, "weibull", time = "months", by = "personal")

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