nn_errors

Raises error if one or more NNs are not complete, i.e., not all required arguments are given

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_errors function

<dl><dt>nn_tests</dt>
<dd>(list of strings) List of missing arguments for each NN, &#8220;None&#8221; if no arguments are missing for a NN</dd></dl>

Arguments

Author

Internal: Error for incomplete NNs — nn_errors

<dl>

<dt>nn_tests</dt>
<dd>(list of strings) List of missing arguments for each NN, &#8220;None&#8221; if no arguments are missing for a NN</dd>

</dl>

nn_errors: Internal: Error for incomplete NNs

Description

Usage

Value

Arguments

Author

Details