# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- 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: 0.0.3.9000 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) ) using the form compatible with ''nlmixr2'' (Fidler et al (2019) ). 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 . 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://nlmixr2.r-universe.dev repository-code: https://github.com/nlmixr2/monolix2rx/ commit: 1e877df8f8c926f29b42ebd8b9987a3ba8b09d24 url: https://nlmixr2.github.io/monolix2rx/ contact: - family-names: Fidler given-names: Matthew email: matthew.fidler@gmail.com orcid: https://orcid.org/0000-0001-8538-6691