is_significant_at

Generic method for checking if a hypothesis test is significant at a given
significance level.

Provides a consistent API for hypothesis testing built on
principles from 'Structure and Interpretation of Computer Programs':
data abstraction, closure (combining tests yields tests), and
higher-order functions (transforming tests). Implements z-tests,
Wald tests, likelihood ratio tests, Fisher's method for combining
p-values, and multiple testing corrections. Designed for use by
other packages that want to wrap their hypothesis tests in a
consistent interface.

Alexander Towell

hypothesize

A Consistent API for Hypothesis Testing

is_significant_at function

<dl><dt>x</dt>
<dd>a hypothesis test object</dd>
<dt>alpha</dt>
<dd>significance level</dd>
<dt>...</dt>
<dd>additional arguments passed to methods</dd></dl>

Arguments

Generic method for checking if a hypothesis test is significant at a given
significance level. — is_significant_at

<dl>

<dt>x</dt>
<dd>a hypothesis test object</dd>


<dt>alpha</dt>
<dd>significance level</dd>


<dt>...</dt>
<dd>additional arguments passed to methods</dd>

</dl>

is_significant_at: Generic method for checking if a hypothesis test is significant at a given significance level.

Description

Usage

Value

Arguments