fit_var

Estimate Additive and proportional errors from calibration data

Automate pharmacokinetic/pharmacodynamic bioanalytical procedures based on best practices and regulatory recommendations.
The package impose regulatory constrains and sanity checking for common bioanalytical procedures.
Additionally, 'PKbioanalysis' provides a relational infrastructure for plate management and injection sequence.

Omar Elashkar

PKbioanalysis

Pharmacokinetic Bioanalysis Experiments Design and Exploration

fit_var function

<dl><dt>data</dt>
<dd>Data frame with columns: conc (concentration), stdconc (standardized concentration, e.g. conc/LLOQ)</dd>
<dt>level</dt>
<dd>Confidence level for the CI (default is 0.95)</dd>
<dt>method</dt>
<dd>Optimization method (default is "nlminb")</dd>
<dt>bootstrap</dt>
<dd>Logical indicating whether to perform bootstrap (default is TRUE)</dd>
<dt>n_boot</dt>
<dd>Number of bootstrap samples (default is 1000)</dd></dl>

Arguments

Author

Estimate Additive and proportional errors from calibration data — fit_var

<dl>

<dt>data</dt>
<dd>Data frame with columns: conc (concentration), stdconc (standardized concentration, e.g. conc/LLOQ)</dd>


<dt>level</dt>
<dd>Confidence level for the CI (default is 0.95)</dd>


<dt>method</dt>
<dd>Optimization method (default is "nlminb")</dd>


<dt>bootstrap</dt>
<dd>Logical indicating whether to perform bootstrap (default is TRUE)</dd>


<dt>n_boot</dt>
<dd>Number of bootstrap samples (default is 1000)</dd>

</dl>

fit_var: Estimate Additive and proportional errors from calibration data

Description

Usage

Arguments

Author