llikGamma

log likelihood and derivatives for Gamma distribution

Provides the log-likelihoods with gradients from 'stan'
(Carpenter et al (2015), <doi:10.48550/arXiv.1509.07164>) needed
for generalized log-likelihood estimation in 'nlmixr2'
(Fidler et al (2019) <doi:10.1002/psp4.12445>). This is
split of to reduce computational burden of recompiling 'rxode2'
(Wang, Hallow and James (2016) <doi:10.1002/psp4.12052>) which runs
the 'nlmixr2' models during estimation.

Matthew Fidler

rxode2ll

Log-Likelihood Functions for 'rxode2'

Matthew L. Fidler

llikGamma function

<dl><dt>x</dt>
<dd>variable that is distributed by gamma distribution</dd>
<dt>shape</dt>
<dd>this is the distribution's shape parameter. Must be positive.</dd>
<dt>rate</dt>
<dd>this is the distribution's rate parameters. Must be positive.</dd>
<dt>full</dt>
<dd>Add the data frame showing x, mean, sd as well as the
fx and derivatives</dd></dl>

Arguments

Author

log likelihood and derivatives for Gamma distribution — llikGamma

<dl>

<dt>x</dt>
<dd>variable that is distributed by gamma distribution</dd>


<dt>shape</dt>
<dd>this is the distribution's shape parameter. Must be positive.</dd>


<dt>rate</dt>
<dd>this is the distribution's rate parameters. Must be positive.</dd>


<dt>full</dt>
<dd>Add the data frame showing x, mean, sd as well as the
fx and derivatives</dd>

</dl>

llikGamma: log likelihood and derivatives for Gamma distribution

Description

Usage

Value

Arguments

Author

Examples