Package: MVPapp 1.0.0

MVPapp: 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) <doi:10.1002/psp4.70023>.

Authors:Steve Choy [aut, cre, cph], Jin Gyu Kim [aut], Matthew Fidler [ctb], Jason Bryer [ctb, cph]

MVPapp_1.0.0.tar.gz
MVPapp_1.0.0.zip(r-4.7-any)MVPapp_1.0.0.zip(r-4.6-any)MVPapp_1.0.0.zip(r-4.5-any)
MVPapp_1.0.0.tgz(r-4.6-any)MVPapp_1.0.0.tgz(r-4.5-any)
MVPapp_1.0.0.tar.gz(r-4.7-any)MVPapp_1.0.0.tar.gz(r-4.6-any)
MVPapp_1.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
MVPapp/json (API)

# Install 'MVPapp' in R:
install.packages('MVPapp', repos = c('https://stevechoy.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/stevechoy/mvpapp/issues

Pkgdown/docs site:https://stevechoy.github.io

Datasets:

On CRAN:

Conda:

pharmacometricsshinysimulation

5.51 score 4 stars 7 scripts 3 exports 95 dependencies

Last updated from:7961064fb1. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK192
source / vignettesOK261
linux-releaseOK273
macos-releaseOK159
macos-oldrelOK171
windows-develOK168
windows-releaseOK183
windows-oldrelOK143
wasm-releaseOK165

Exports:%>%mvp_apprun_mvp

Dependencies:askpassbase64encBHbslibcachemclicommonmarkcowplotcpp11crosstalkcurldata.tabledigestdplyrDTevaluatefarverfastmapflextablefontawesomefontBitstreamVerafontLiberationfontquiverfsgdtoolsgenericsggplot2gluegtablehighrhtmltoolshtmlwidgetshttpuvhttrisobandjquerylibjsonliteknitrlabelinglaterlazyevallifecyclemagrittrmemoisemimemrgsolveofficeropensslotelpillarpkgconfigplotlypromisespurrrR6raggrappdirsRColorBrewerRcppRcppArmadillorhandsontablerlangrmarkdownS7sassscalesshinyshinyAceshinyBSshinycssloadersshinydashboardshinyFilesshinyjsshinythemesshinyWidgetssourcetoolsstringistringrsyssystemfontstextshapingtibbletidyrtidyselecttinytexutf8uuidvctrsviridisLitewithrxfunxml2xtableyamlzip

Automatic Model Translation
Motivation | Disclaimer | Pre-requisites | Setup | Required Packages | API Keys | Configuring Default Options | Usage | Locally Parsing Files | Automatic Retries | Deterministic Translation of NONMEM files | Cost | Notes | Performance Evaluation | Summary
Rendered fromautomatic-translation.Rmdusingknitr::rmarkdown

Last update: 2026-10-18
Started: 2026-02-25

Effective Exploratory Data Analysis
Motivation | Uploading and Filtering Data | Summary Statistics | Descriptive Statistics (NCA) | General Plot | Continuous Plots | Box plots | Count plots | Individual Plots | Correlation Plots | Covariate Histograms | Summary
Rendered fromdata-exploration.Rmdusingknitr::rmarkdown

Last update: 2026-10-17
Started: 2025-01-22

Supplying Passworded Models
Update | Motivation | How models are supplied to MVP | Re-defining model_switch_conditions() | Re-defining update_model_choices() | Data Options | Dosing Options | Sampling Options | Plotting Options | Variability Options | Supplying Model Code | Summary
Rendered fromsupply-passwords.Rmdusingknitr::rmarkdown

Last update: 2026-10-17
Started: 2024-10-04