qbern

pbern

dbern

The density function <code>dbern()</code>, distribution function <code>pbern()</code>, and quantile
function <code>qbern()</code> for a Bernoulli distribution, with success probability
<code>prob</code>. These are equivalent to <code>dbinom(p, 1, prob)</code>, <code>pbinom(p, 1, prob)</code>
and <code>qbinom(p, 1, prob)</code>.

Network meta-analysis and network meta-regression models for
aggregate data, individual patient data, and mixtures of both individual
and aggregate data using multilevel network meta-regression as described by
Phillippo et al. (2020) <doi:10.1111/rssa.12579>. Models are estimated in a
Bayesian framework using 'Stan'.

David Phillippo

multinma

Bayesian Network Meta-Analysis of Individual and Aggregate Data

qbern function

<dl><dt>p</dt>
<dd>vector of probabilities</dd>
<dt>prob</dt>
<dd>probability of success</dd>
<dt>lower.tail, log.p, log</dt>
<dd>see <a href="/link/stats%3A%3ABinomial?package=multinma&version=0.6.1" data-mini-rdoc="multinma::stats::Binomial">stats::Binomial</a></dd>
<dt>x, q</dt>
<dd>vector of quantiles</dd></dl>

Arguments

The Bernoulli Distribution — qbern

<dl>

<dt>p</dt>
<dd>vector of probabilities</dd>


<dt>prob</dt>
<dd>probability of success</dd>


<dt>lower.tail, log.p, log</dt>
<dd>see <a href='https://rdrr.io/r/stats/Binomial.html'>stats::Binomial</a></dd>


<dt>x, q</dt>
<dd>vector of quantiles</dd>

</dl>

qbern: The Bernoulli Distribution

Description

Usage

Value

Arguments