model-classes

baymedrSuperiority-class

baymedrEquivalence-class

baymedrNonInferiority-class

The S4 classes <a href="/link/?package=baymedr&version=0.1.1" baymedrsuperiority'="" data-mini-rdoc="baymedr::"></a>'>baymedrSuperiority,
<a href="/link/?package=baymedr&version=0.1.1" baymedrequivalence'="" data-mini-rdoc="baymedr::"></a>'>baymedrEquivalence, and <a href="/link/?package=baymedr&version=0.1.1" baymedrnoninferiority'="" data-mini-rdoc="baymedr::"></a>'>baymedrNonInferiority
represent models for the superiority (<code><a rd-options="" href="/link/super_bf?package=baymedr&version=0.1.1" data-mini-rdoc="baymedr::super_bf">super_bf</a></code>), equivalence
(<code><a rd-options="" href="/link/equiv_bf?package=baymedr&version=0.1.1" data-mini-rdoc="baymedr::equiv_bf">equiv_bf</a></code>), and non-inferiority (<code><a rd-options="" href="/link/infer_bf?package=baymedr&version=0.1.1" data-mini-rdoc="baymedr::infer_bf">infer_bf</a></code>) tests,
respectively.

BAYesian inference for MEDical designs in R. Functions for the
computation of Bayes factors for common biomedical research designs.
Implemented are functions to test the equivalence (equiv_bf),
non-inferiority (infer_bf), and superiority (super_bf) of an experimental
group compared to a control group on a continuous outcome measure. Bayes
factors for these three tests can be computed based on raw data (x, y) or
summary statistics (n_x, n_y, mean_x, mean_y, sd_x, sd_y [or ci_margin
and ci_level]).

Maximilian Linde

baymedr

Computation of Bayes Factors for Common Biomedical Designs

Don van Ravenzwaaij

Quentin F. Gronau

model-classes function

<dl class="dl-horizontal">
<dt><code>test</code></dt><dd>Type of test that was conducted.</dd></dl><dt><code>hypotheses</code></dt><dd>The hypotheses that are tested.</dd><dt><code>data</code></dt><dd>The type of data that was used.</dd><dt><code>prior_scale</code></dt><dd>The Cauchy prior scale that was used.</dd><dt><code>bf</code></dt><dd>The resulting Bayes factor.</dd><dt><code>interval</code></dt><dd>The equivalence interval in case of <code><a rd-options="" href="/link/equiv_bf?package=baymedr&version=0.1.1" data-mini-rdoc="baymedr::equiv_bf">equiv_bf</a></code>.</dd><dt><code>ni_margin</code></dt><dd>The non-inferiority margin in case of <code><a rd-options="" href="/link/infer_bf?package=baymedr&version=0.1.1" data-mini-rdoc="baymedr::infer_bf">infer_bf</a></code>.</dd>

Slots

The S4 classes <a href='<a href='baymedrSuperiority'></a>'>baymedrSuperiority</a>,
<a href='<a href='baymedrEquivalence'></a>'>baymedrEquivalence</a>, and <a href='<a href='baymedrNonInferiority'></a>'>baymedrNonInferiority</a>
represent models for the superiority (<code><a rd-options='' href='super_bf'>super_bf</a></code>), equivalence
(<code><a rd-options='' href='equiv_bf'>equiv_bf</a></code>), and non-inferiority (<code><a rd-options='' href='infer_bf'>infer_bf</a></code>) tests,
respectively.

model-classes: S4 classes to represent different models

Description

Arguments

Slots