schnider_poppk

Evaluate Schnider population PK model at patient covariate values.

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)

schnider_poppk function

<dl><dt>df</dt>
<dd>data frame with variable names "AGE","TBM","HGT","MALE"</dd>
<dt>rate</dt>
<dd>Logical. Should rate parameters be returned rather than clearance.
Defaults to FALSE</dd>
<dt>rand</dt>
<dd>Logical. Should a vector of Monte Carlo samples be returned instead
of point estimates at patient covariate values. Defaults to FALSE.</dd></dl>

Arguments

Schnider population PK model — schnider_poppk

<dl>

<dt>df</dt>
<dd>data frame with variable names "AGE","TBM","HGT","MALE"</dd>


<dt>rate</dt>
<dd>Logical. Should rate parameters be returned rather than clearance.
Defaults to FALSE</dd>


<dt>rand</dt>
<dd>Logical. Should a vector of Monte Carlo samples be returned instead
of point estimates at patient covariate values. Defaults to FALSE.</dd>

</dl>

schnider_poppk: Schnider population PK model

Description

Usage

Value

Arguments

Examples