open_mlx_example

Opens unconverted Monolix example model with NN functions

internal

An easy-to-use tool for implementing Neural Ordinary Differential Equations (NODEs) in pharmacometric software such as 'Monolix', 'NONMEM', and 'nlmixr2', see Bräm et al. (2024) <doi:10.1007/s10928-023-09886-4> and Bräm et al. (2025) <doi:10.1002/psp4.13265>. The main functionality is to automatically generate structural model code describing computations within a neural network. Additionally, parameters and software settings can be initialized automatically. For using these additional functionalities with 'Monolix', 'pmxNODE' interfaces with 'MonolixSuite' via the 'lixoftConnectors' package. The 'lixoftConnectors' package is distributed with 'MonolixSuite' (<https://monolixsuite.slp-software.com/r-functions/2024R1/package-lixoftconnectors>) and is not available from public repositories.

Dominic Bräm

pmxNODE

Application of NODEs in 'Monolix', 'NONMEM', and 'nlmixr2'

Bernhard Steiert

Gilbert Koch

Matthew Fidler

open_mlx_example function

<dl><dt>model_nr</dt>
<dd>(number) What example number should be read (1-4 available).</dd></dl>

Arguments

Author

Open Monolix example model — open_mlx_example

<dl>

<dt>model_nr</dt>
<dd>(number) What example number should be read (1-4 available).</dd>

</dl>

open_mlx_example: Open Monolix example model

Description

Usage

Value

Arguments

Author

Details