sim_data

A simulated dataset from a hypothetical PK model with 100 replicates.

datasets

Perform a Visual Predictive Check (VPC), while accounting for
stratification, censoring, and prediction correction. Using piping from
'magrittr', the intuitive syntax gives users a flexible and powerful method
to generate VPCs using both traditional binning and a new binless approach
Jamsen et al. (2018) <doi:10.1002/psp4.12319> with Additive Quantile
Regression (AQR) and Locally Estimated Scatterplot Smoothing (LOESS)
prediction correction.

James Craig

tidyvpc

VPC Percentiles and Prediction Intervals

Olivier Barriere

Benjamin Rich

Samer Mouksassi

Bill Denney

Michael Tomashevskiy

Kris Jamsen

Certara USA, Inc. 

sim_data function

A data.table with 60000 rows and 10 variables:<dl>
 <dt>ID</dt>
<dd>Subject identifier</dd> <dt>REP</dt>
<dd>Replicate num for simulation</dd> <dt>TIME</dt>
<dd>Time</dd> <dt>DV</dt>
<dd>Concentration of drug</dd> <dt>IPRED</dt>
<dd>Individual prediction variable</dd> <dt>PRED</dt>
<dd>Population prediction variable</dd> <dt>AMT</dt>
<dd>Amount of dosage initially administered at DV = 0, TIME = 0</dd> <dt>DOSE</dt>
<dd>Dosage amount</dd> <dt>MDV</dt>
<dd>Dummy indicating missing dependent variable value</dd> <dt>NTIME</dt>
<dd>Nominal Time</dd>
</dl>

Format

Example simulated data with continuous DV — sim_data

A data.table with 60000 rows and 10 variables:<dl>
 <dt>ID</dt>
<dd>Subject identifier</dd>

 <dt>REP</dt>
<dd>Replicate num for simulation</dd>

 <dt>TIME</dt>
<dd>Time</dd>

 <dt>DV</dt>
<dd>Concentration of drug</dd>

 <dt>IPRED</dt>
<dd>Individual prediction variable</dd>

 <dt>PRED</dt>
<dd>Population prediction variable</dd>

 <dt>AMT</dt>
<dd>Amount of dosage initially administered at DV = 0, TIME = 0</dd>

 <dt>DOSE</dt>
<dd>Dosage amount</dd>

 <dt>MDV</dt>
<dd>Dummy indicating missing dependent variable value</dd>

 <dt>NTIME</dt>
<dd>Nominal Time</dd>


</dl>

Example simulated data with continuous DV

sim_data: Example simulated data with continuous DV

Description

Usage

Arguments

Format