parmsurvfit (version 0.1.0)

surv_summary: Summary statistics based on parametric distribution

Description

Estimates various statistics, including median, mean, standard deviation, and percentiles of survival time given that the data follows a specified parametric distribution.

Usage

surv_summary(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, returns summary statistics for each group. Variable can contain logical, string, character, or numeric data.

Examples

# NOT RUN {
data("rearrest")
surv_summary(rearrest, "lnorm", time = "months")
surv_summary(rearrest, "weibull", time = "months", by = "personal")
# }