individual

labels

facets

dname

<code>list</code> some pred line geom properties aesthetics

ipred_line

<code>list</code> some ipred line geom properties aesthetics

pred_line

<code>list</code> some point geom properties aesthetics

point

<code>pmxBLOQ</code> object created by <code><a rd-options="" href="/link/pmx_bloq?package=ggPMX&version=0.9.4" data-mini-rdoc="ggPMX::pmx_bloq">pmx_bloq</a></code>

bloq

<code>logical</code> if TRUE add a legend

is.legend

<code>logical</code> if FALSE use predictions data set

use.finegrid

others graphics arguments passed to <code><a rd-options="" href="/link/pmx_gpar?package=ggPMX&version=0.9.4" data-mini-rdoc="ggPMX::pmx_gpar">pmx_gpar</a></code> internal object.

This function can be used to obtain individual prediction and compare with observed data and population prediction
for each individual separately

At Novartis, we aimed at standardizing the set of diagnostic plots used for modeling
activities in order to reduce the overall effort required for generating such plots.
For this, we developed a guidance that proposes an adequate set of diagnostics and a toolbox,
called 'ggPMX' to execute them. 'ggPMX' is a toolbox that can generate all diagnostic plots at a quality sufficient
for publication and submissions using few lines of code.

Amine Gassem

ggPMX

'ggplot2' Based Tool to Facilitate Diagnostic Plots for NLME
Models

Bruno Bieth

Irina Baltcheva

Thomas Dumortier

Christian Bartels

Souvik Bhattacharya

Inga Ludwig

Ines Paule

Didier Renard

Qing Xi Ooi

Novartis Pharma AG 

individual function

<code>pmxBLOQ</code> object created by <code><a rd-options='' href='pmx_bloq'>pmx_bloq</a></code>

others graphics arguments passed to <code><a rd-options='' href='pmx_gpar'>pmx_gpar</a></code> internal object.

This function can be used to obtain individual prediction and compare with observed data and population prediction
for each individual separately — individual

individual: This function can be used to obtain individual prediction and compare with observed data and population prediction for each individual separately

Description

Usage

Arguments

Value

See Also