computeNEff

Help function to compute the effective sample size based on a length 2 vector of samples

Functions to design and apply tests that are anytime valid. The
functions can be used to design hypothesis tests in the prospective/randomised
control trial setting or in the observational/retrospective setting. The
resulting tests remain valid under both optional stopping and optional
continuation. The current version includes safe t-tests and safe tests of
two proportions. For details on the theory of safe tests, see
Grunwald, de Heide and Koolen (2019) "Safe Testing" <arXiv:1906.07801>,
for details on safe logrank tests see ter Schure, Perez-Ortiz, Ly and Grunwald
(2020) "The Safe Logrank Test: Error Control under Continuous Monitoring with
Unlimited Horizon" <arXiv:2011.06931v3> and Turner, Ly and Grunwald (2021)
"Safe Tests and Always-Valid Confidence Intervals for contingency tables and
beyond" <arXiv:2106.02693> for details on safe contingency table tests.

Alexander Ly

safestats

Safe Anytime-Valid Inference

Rosanne Turner

Muriel Felipe Perez-Ortiz

Judith ter Schure

Peter Grunwald

computeNEff function

<dl><dt>n</dt>
<dd>vector of length at most 2 representing the sample sizes of the first and second group</dd>
<dt>testType</dt>
<dd>either one of "oneSample", "paired", "twoSample".</dd>
<dt>silent</dt>
<dd>logical, if true, then turn off warnings</dd></dl>

Arguments

Help function to compute the effective sample size based on a length 2 vector of samples — computeNEff

<dl>

<dt>n</dt>
<dd>vector of length at most 2 representing the sample sizes of the first and second group</dd>


<dt>testType</dt>
<dd>either one of "oneSample", "paired", "twoSample".</dd>


<dt>silent</dt>
<dd>logical, if true, then turn off warnings</dd>

</dl>

computeNEff: Help function to compute the effective sample size based on a length 2 vector of samples

Description

Usage

Value

Arguments