parmsurvfit (version 0.1.0)

compute_AD: Anderson-Darling goodness of fit test statistic

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

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