nn_minini_extractor

Extract the minimal activation point of a NN given as the min_init argument in the NN function

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_minini_extractor function

<dl><dt>text</dt>
<dd>(string) String of NN in form of NN1(state=C,min_init=1,max_init=5)</dd></dl>

Arguments

Author

Internal: Extract minimal activation point of NN — nn_minini_extractor

<dl>

<dt>text</dt>
<dd>(string) String of NN in form of NN1(state=C,min_init=1,max_init=5)</dd>

</dl>

nn_minini_extractor: Internal: Extract minimal activation point of NN

Description

Usage

Value

Arguments

Author