nlmixr2 ecosystem

nlmixr2lib In addition to a model library, it has tools to change model components (like add Weibull absorption, add transit compartments, change standard elimination to Michaleis-Menton absorption; maintained by Bill Denney and developed by the nlmixr2 team).

pmxNODE The goal of pmxNODE is to facilitate the implementation of neural ordinary differential equations (NODEs) in pharmacometric software, i.e., Monolix, NONMEM, and nlmixr2 (by Dominic Bräm & language integration by Matt Fidler).

ggPMX This tool creates standardized diagnostic plots for tools like Monolix, nlmixr2 and NONMEM (By colleagues sponsored by Novartis).

nlmixr2autoinit Creates automatic parameter estimates for a nlmixr2 model. (By Zhonghui Huang and Joe Standing lab at UCL)

nlmixr2auto Automated Population Pharmacokinetic Modelling. This package offers serveral optimisation algorithms designed for automated population pharmacokinetic modeling, serving as a valuable tool for pharmacokinetic model selection. (By Zhonghui Huang and Joe Standing lab at UCL)

pharmpy Can create nlmixr2 models (and convert between NONMEM and nlmixr2 models)

PKNCA With the help of babelmixr2, you can use PKNCA to calculate PK parameters that will be used as initial estimates for your population PK model (By Bill Denney and team at Human Predictions)

tidyvpc integrates and can create visual prediction plots from nlmixr2 models (by James Craig and team at Cetara)

vpc Create visual predictive checks, a commonly used diagnostic plot in pharmacometrics, in R, and is used by the default VPCs from nlmixr2 (By Ron Keizer and Bill Denney)

xpose.nlmixr2 This integrates the ggplot2 xpose with nlmixr2 outputs allowing standardized graphs (By Justin Wilkins and collegues)

Campsis can use the Campsis models to perform a shiny model simulation using rxode2 or mrgsolve. With the professional subscription, you can also convert nlmixr2, Monolix and NONMEM models to campsis format (by Nicolas Luyckx and colleagues at Campsis)

ruminate Shiny tool for simulation of complex regimens and designs

OptiDoseR optiDoseR is a package to facilitate the application of the optiDose approach in Monolix, NONMEM, and nlmixr2 (by Dominic Bräm)

PopED this allows optimal design methodologies to be applied to a nlmixr2 model using the babelmixr2 package. (Translation written by Matt Fidler; PopED written by Andrew Hooker and colleagues)

posologyr Personalize drug regimens using individual pharmacokinetic (PK) and pharmacokinetic-pharmacodynamic (PK-PD) profiles. By combining therapeutic drug monitoring (TDM) data with a population model, posologyr offers accurate posterior estimates and helps compute optimal individualized dosing regimens (by Cyril Leven)

Monolix These models can be imported using monolix2rx() and exported/run using monolix’s "monolix" method. Both are available in babelmixr2. (Conversion routines written by Matt Fidler, Monolix is currently maintained by Simulations Plus).

NONMEM These models can be imported using nonmem2rx() and exported/run using babelmixr2’s "nonmem" method. Both are available in babelmixr2. (Conversion routines are written by Matt Fidler, NONMEM currently maintained by Bob Bauer and other colleagues at Icon).

pharmpy Can create nlmixr2 models (and convert between NONMEM and nlmixr2 models)

PKPDsim Can convert PKPDsim models to nlmixr2 models (by Ron Keizer and team at InsightRX)