timecourse_stats

Given a matrix (d) of time courses (each row is an individual and each column is
 a time point) and a confidence interval (ci) this will calculate the mean,
 median, confidence intervals and a vector of values for creating patches.

internal

Complete work flow for the analysis of pharmacokinetic pharmacodynamic (PKPD), physiologically-based pharmacokinetic (PBPK) and systems pharmacology models including: creation of ordinary differential equation-based models, pooled parameter estimation, individual/population based simulations, rule-based simulations for clinical trial design and modeling assays, deployment with a customizable 'Shiny' app, and non-compartmental analysis. System-specific analysis templates can be generated and each element includes integrated reporting with 'PowerPoint' and 'Word'.

John Harrold

ubiquity

PKPD, PBPK, and Systems Pharmacology Modeling Tools

timecourse_stats function

<dl><dt>d</dt>
<dd>matrix of responses (each row an individual and each column a time point)</dd>
<dt>ci</dt>
<dd>confidence interval in percent (eg, 95)</dd></dl>

Arguments

Calculate Timecourse Statistics for a Matrix of Responses — timecourse_stats

<dl>

<dt>d</dt>
<dd>matrix of responses (each row an individual and each column a time point)</dd>


<dt>ci</dt>
<dd>confidence interval in percent (eg, 95)</dd>

</dl>

timecourse_stats: Calculate Timecourse Statistics for a Matrix of Responses

Description

Usage

Value

Arguments