hypotheses

Create main hypotheses and intersection hypotheses.

P-values and no/lowest observed (adverse) effect concentration values derived from the closure principle computational approach test (Lehmann, R. et al. (2015) <doi:10.1007/s00477-015-1079-4>) are provided. The package contains functions to generate intersection hypotheses according to the closure principle (Bretz, F., Hothorn, T., Westfall, P. (2010) <doi:10.1201/9781420010909>), an implementation of the computational approach test (Ching-Hui, C., Nabendu, P., Jyh-Jiuan, L. (2010) <doi:10.1080/03610918.2010.508860>) and the combination of both, that is, the closure principle computational approach test.

René Lehmann

CPCAT

The Closure Principle Computational Approach Test

hypotheses function

<dl><dt>n</dt>
<dd>The number of treatments exclusive of the control group. That is, if we have, e.g., a control group and 3 treatments choose n=3.</dd></dl>

Arguments

Create main hypotheses and intersection hypotheses. — hypotheses

<dl>

<dt>n</dt>
<dd>The number of treatments exclusive of the control group. That is, if we have, e.g., a control group and 3 treatments choose n=3.</dd>

</dl>

hypotheses: Create main hypotheses and intersection hypotheses.

Description

Usage

Value

Arguments

Examples