read_input

ipath

<code>character</code> the name of measurable variable used in the input modelling file

<code>character</code> observation type parameter

dvid

[Optional]<code>character</code> vector of categorical covariates

cats

[Optional]<code>character</code> vector of continuous covariates

conts

[Optional]<code>character</code> extra stratification variables

strats

[Optional]<code>character</code> inter individual occasion variables

<code>integer</code> null in case of a single endpoint otherwise the index of endpoints.

endpoint

<code>character</code> the name of identifier variable used in the input modelling file.

<code>character</code> the name of time variable used in the input modelling file

time

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. This package focuses on plots recommended by ISoP
<doi:10.1002/psp4.12161>. While not required, you can get/install the 'R' 'lixoftConnectors'
package in the 'Monolix' installation, as described at the following url
<https://monolix.lixoft.com/monolix-api/lixoftconnectors_installation/>.
When 'lixoftConnectors' is available, 'R' can use 'Monolix' directly to create the required
Chart Data instead of exporting it from the 'Monolix' gui.

read_input: Read Modelling input data

Description

Usage

Arguments

Value