Interactive Platform for Pharmacometrics Model Visualization and Simulation

An interactive 'shiny' application for exploring pharmacometrics models with minimal setup. Users can explore model structures, parameters and dosing regimens with 'mrgsolve', and compare simulations with observed data. Additional features include parameter sensitivity analysis, non-compartmental analysis (NCA), data exploration, variability assessment with virtual populations, and optional AI-assisted model translation. For design considerations of the app, see Choy et al. (2025) .


Reference manual

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install.packages("MVPapp")

1.0.0 by Steve Choy, 5 hours ago


https://github.com/stevechoy/MVPapp, https://stevechoy.github.io/MVPapp/


Browse source code at https://github.com/cran/MVPapp


Authors: Steve Choy [aut, cre, cph] , Jin Gyu Kim [aut] , Matthew Fidler [ctb] , Jason Bryer [ctb, cph] (Author of the ShinyDemo package , from which run_mvp() is adapted)


Documentation:   PDF Manual  


GPL (>= 3) license


Imports bslib, cowplot, data.table, dplyr, DT, flextable, ggplot2, grid, graphics, grDevices, htmltools, magrittr, mrgsolve, plotly, rhandsontable, rlang, scales, shiny, shinyAce, shinyBS, shinycssloaders, shinydashboard, shinyFiles, shinyjs, shinythemes, shinyWidgets, stats, stringr, tidyr, tools, utils, zip

Suggests curl, ellmer, GGally, httr2, knitr, mime, ncar, NonCompart, nonmem2mrgsolve, nonmem2rx, pdftools, rmarkdown, shinyalert, spelling, testthat


See at CRAN