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cff-version: 1.2.0
message: 'To cite package "monolix2rx" in publications use:'
type: software
license: MIT
title: 'monolix2rx: Converts ''Monolix'' Models to ''rxode2'''
version: 0.0.3
doi: 10.32614/CRAN.package.monolix2rx
abstract: '''Monolix'' is a tool for running mixed effects model using ''saem''. This
  tool allows you to convert ''Monolix'' models to ''rxode2'' (Wang, Hallow and James
  (2016) <https://doi.org/10.1002/psp4.12052>) using the form compatible with ''nlmixr2''
  (Fidler et al (2019) <https://doi.org/10.1002/psp4.12445>). If available, the ''rxode2''
  model will read in the ''Monolix'' data and compare the simulation for the population
  model individual model and residual model to immediately show how well the translation
  is performing. This saves the model development time for people who are creating
  an ''rxode2'' model manually. Additionally, this package reads in all the information
  to allow simulation with uncertainty (that is the number of observations, the number
  of subjects, and the covariance matrix) with a ''rxode2'' model. This is complementary
  to the ''babelmixr2'' package that translates ''nlmixr2'' models to ''Monolix''
  and can convert the objects converted from ''monolix2rx'' to a full ''nlmixr2''
  fit. While not required, you can get/install the ''lixoftConnectors'' package in
  the ''Monolix'' installation, as described at the following url <https://monolixsuite.slp-software.com/r-functions/2024R1/installation-and-initialization>.
  When ''lixoftConnectors'' is available, ''Monolix'' can be used to load its model
  library instead manually setting up text files (which only works with old versions
  of ''Monolix'').'
authors:
- family-names: Fidler
  given-names: Matthew
  email: matthew.fidler@gmail.com
  orcid: https://orcid.org/0000-0001-8538-6691
repository: https://CRAN.R-project.org/package=monolix2rx
repository-code: https://github.com/nlmixr2/monolix2rx/
url: https://nlmixr2.github.io/monolix2rx/
date-released: '2024-10-24'
contact:
- family-names: Fidler
  given-names: Matthew
  email: matthew.fidler@gmail.com
  orcid: https://orcid.org/0000-0001-8538-6691