IAfrac: IAfrac: A package for interim analysis using weighted...

In lilywang1988/IAfrac: Tools for weighted log-rank tests

Description

The IAfrac package implements Hasegawa (2014) and (2016) proposals for weighted log-rank tests in piece-wise expornential distributed survival functions. The current version only considers two pieces with only one change point (epsilon). This R package provides four categories of important functions: sample size, information fraction, weighted log-rank test, data manipulation.

Sample size functions

The sample size calculation functions implement methods proposed in Hasegawa (2014). They are recorded in R/Hasegama2014.R.

Information fraction functions

The iformaiton fraction functions implement methods proposed in Hasegawa (2016). They are recorded in R/Hasegama2016.R.

Weightd log-rank test

The weighted log-rank test functions are newly written functions for weighted log-rank tests. They are recorded in R/WLRT.R.

Data manipulation functions

The data manipulation functions are prepared to trim the data either according to the follow-up time or the event counts. They are recorded in R/data_manipulation.R.

lilywang1988/IAfrac documentation built on March 11, 2021, 11:53 a.m.