compute_AD: Anderson-Darling goodness of fit test statistic

In parmsurvfit: Parametric Models for Survival Data

Description

Computes Anderson-Darling goodness of fit test statistic given that the data follows a specified parametric distribution.

Usage

compute_AD(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 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.

Examples

data("rearrest")
compute_AD(rearrest, "lnorm", time = "months")
compute_AD(rearrest, "weibull", time = "months")

Example output

[1] 284.0479
[1] 283.9084

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