make_prior

Make a list containing log prior density and its gradient

internal

Methods and functions for fitting ordinary differential equations (ODE) model in 'R'. Sensitivity equations are used to compute the gradients of ODE trajectories with respect to underlying parameters, which in turn allows for more stable fitting. Other fitting methods, such as MCMC (Markov chain Monte Carlo), are also available.

Sang Woo Park

fitode

Tools for Ordinary Differential Equations Model Fitting

Ben Bolker

make_prior function

<dl><dt>model</dt>
<dd>model.ode object</dd>
<dt>link</dt>
<dd>link</dd>
<dt>prior</dt>
<dd>list of formulas</dd>
<dt>prior.density</dt>
<dd>(logical) does this represent a probability density?</dd>
<dt>keep_grad</dt>
<dd>(logical) keep gradient?</dd></dl>

Arguments

Make a list containing log prior density and its gradient — make_prior

<dl>

<dt>model</dt>
<dd>model.ode object</dd>


<dt>link</dt>
<dd>link</dd>


<dt>prior</dt>
<dd>list of formulas</dd>


<dt>prior.density</dt>
<dd>(logical) does this represent a probability density?</dd>


<dt>keep_grad</dt>
<dd>(logical) keep gradient?</dd>

</dl>

make_prior: Make a list containing log prior density and its gradient

Description

Usage

Arguments