nn_tester

Tests whether all required arguments are given to each NN

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

nn_tester function

<dl><dt>text</dt>
<dd>NN function from the un-converted model file, e.g., NN1(state=C,min_init=1,max_init=5)</dd></dl>

Arguments

Author

Internal: Test NNs for completeness — nn_tester

<dl>

<dt>text</dt>
<dd>NN function from the un-converted model file, e.g., NN1(state=C,min_init=1,max_init=5)</dd>

</dl>

nn_tester: Internal: Test NNs for completeness

Description

Usage

Value

Arguments

Author

Details