mlnbinom

For the density function of the Negative binomial distribution see
<a href="/link/Negative%20binomial?package=univariateML&version=1.5.0" data-mini-rdoc="univariateML::Negative binomial">Negative binomial</a>.

User-friendly maximum likelihood estimation (Fisher (1921)
<doi:10.1098/rsta.1922.0009>) of univariate densities.

Jonas Moss

univariateML

Maximum Likelihood Estimation for Univariate Densities

Thomas Nagler

Chitu Okoli

mlnbinom function

<dl><dt>x</dt>
<dd>a (non-empty) numeric vector of data values.</dd>
<dt>na.rm</dt>
<dd>logical. Should missing values be removed?</dd>
<dt>...</dt>
<dd>The arguments <code>size</code> can be specified to only return the ml of <code>prob</code>.
<code>reltol</code> is the relative accuracy requested,
defaults to <code>.Machine$double.eps^0.25</code>. <code>iterlim</code> is a positive integer
specifying the maximum number of iterations to be performed before the
program is terminated (defaults to <code>100</code>).</dd></dl>

Arguments

For the density function of the Negative binomial distribution see
<a href='https://rdrr.io/r/stats/NegBinomial.html'>Negative binomial</a>.

Negative binomial distribution maximum likelihood estimation — mlnbinom

<dl>

<dt>x</dt>
<dd>a (non-empty) numeric vector of data values.</dd>


<dt>na.rm</dt>
<dd>logical. Should missing values be removed?</dd>


<dt>...</dt>
<dd>The arguments <code>size</code> can be specified to only return the ml of <code>prob</code>.
<code>reltol</code> is the relative accuracy requested,
defaults to <code>.Machine$double.eps^0.25</code>. <code>iterlim</code> is a positive integer
specifying the maximum number of iterations to be performed before the
program is terminated (defaults to <code>100</code>).</dd>

</dl>

mlnbinom: Negative binomial distribution maximum likelihood estimation

Description

Usage

Value

Arguments

References

See Also

Examples