cl_updates

Set parameters for closed-loop updates.

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)

cl_updates function

<dl><dt>time</dt>
<dd>Times at which PK or PK-PD parameters should be updated</dd>
<dt>full_data</dt>
<dd>Vector of logical values indicating if all data should be used at update
or only data since last update. Once first "FALSE" value is observed, the prior variance-
covariance matrix is overwritten. Consequently, any "TRUE" updates will only use data since
the last "FALSE" update.</dd>
<dt>plot_progress</dt>
<dd>Vector of logical values. Should values be plotted at each update?</dd></dl>

Arguments

Closed-loop updates — cl_updates

<dl>

<dt>time</dt>
<dd>Times at which PK or PK-PD parameters should be updated</dd>


<dt>full_data</dt>
<dd>Vector of logical values indicating if all data should be used at update
or only data since last update. Once first "FALSE" value is observed, the prior variance-
covariance matrix is overwritten. Consequently, any "TRUE" updates will only use data since
the last "FALSE" update.</dd>


<dt>plot_progress</dt>
<dd>Vector of logical values. Should values be plotted at each update?</dd>

</dl>

cl_updates: Closed-loop updates

Description

Usage

Value

Arguments