df_pd_start

A dataset containing pharmacodynamic observations.

datasets

To Simplify the time consuming and error prone task of assembling complex data sets for non-linear mixed effects modeling. Users are able to select from different absorption processes such as zero and first order, or a combination of both. Furthermore, data sets containing data from several entities, responses, and covariates can be simultaneously assembled.

Mario Gonzalez Sales

puzzle

Assembling Data Sets for Non-Linear Mixed Effects Modeling

Olivier Barriere

df_pd_start function

A tibble with 6 rows and 3 variable:<dl class="dl-horizontal">
 <dt>ID</dt><dd>Individual</dd>
 <dt>TIME</dt><dd>Time, in hours</dd>
 <dt>DV</dt><dd>Response, ng/mL</dd>
</dl>

Format

An starting pharmacoynamic data set example. — df_pd_start

A tibble with 6 rows and 3 variable:<dl class='dl-horizontal'>
 <dt>ID</dt><dd>Individual</dd>
 <dt>TIME</dt><dd>Time, in hours</dd>
 <dt>DV</dt><dd>Response, ng/mL</dd>
</dl>

df_pd_start: An starting pharmacoynamic data set example.

Description

Usage

Arguments

Format