log_prior

Function to return the prior probability for a set of parameters
assuming a log-normal distribution.

Implementation of target-controlled infusion algorithms for compartmental pharmacokinetic and pharmacokinetic-pharmacodynamic models. Jacobs (1990) <doi:10.1109/10.43622>; Marsh et al. (1991) <doi:10.1093/bja/67.1.41>; Shafer and Gregg (1993) <doi:10.1007/BF01070999>; Schnider et al. (1998) <doi:10.1097/00000542-199805000-00006>; Abuhelwa, Foster, and Upton (2015) <doi:10.1016/j.vascn.2015.03.004>; Eleveld et al. (2018) <doi:10.1016/j.bja.2018.01.018>.

Ryan Jarrett

Target Controlled Infusion (TCI)

log_prior function

<dl><dt>lpr</dt>
<dd>log parameter values to evaluate</dd>
<dt>mu</dt>
<dd>mean for model parameters and mean residual error</dd>
<dt>sig</dt>
<dd>variance covariance matrix for model parameters</dd></dl>

Arguments

Calculate logged prior value — log_prior

<dl>

<dt>lpr</dt>
<dd>log parameter values to evaluate</dd>


<dt>mu</dt>
<dd>mean for model parameters and mean residual error</dd>


<dt>sig</dt>
<dd>variance covariance matrix for model parameters</dd>

</dl>

log_prior: Calculate logged prior value

Description

Usage

Value

Arguments