Execute Pharmacometric Models Using 'shiny'

Execute Nonlinear Mixed Effects (NLME) models for pharmacometrics using a 'shiny' interface. Specify engine parameters and select from different run options, including simple estimation, stepwise covariate search, bootstrapping, simulation, visual predictive check, and more. Models are executed using the 'Certara.RsNLME' package.


RsNLME Model Executor ModelExecutor package logo.

Overview

Certara.RsNLME.ModelExecutor is an R package and Shiny application used to execute an RsNLME model.

Use the GUI to add additional output tables, specify engine parameters, select various run types, and more!

Gif showing how to execute a simple model in the Shiny GUI.

Installation

Windows

install.packages("Certara.RsNLME.ModelExecutor",
                 repos = c("https://certara.jfrog.io/artifactory/certara-cran-release-public/",
                           "https://cloud.r-project.org"),
                 method = "libcurl")

Linux

install.packages("Certara.RsNLME.ModelExecutor",
                 repos = c("https://certara.jfrog.io/artifactory/certara-cran-release-public/",
                           "https://cloud.r-project.org"))

Usage

Use Certara.RsNLME.ModelExecutor to launch the model execution interface with a model object.

library(Certara.RsNLME.ModelExecutor)
library(Certara.RsNLME)

model <- pkmodel(numCompartments=2,
                 data = pkData,
                 ID = "Subject",
                 Time = "Act_Time",
                 A1 = "Amount",
                 CObs = "Conc")

modelExecutorUI(model = model)

Reference manual

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install.packages("Certara.RsNLME.ModelExecutor")

3.1.0 by James Craig, 4 months ago


https://certara.github.io/R-RsNLME-model-executor/


Browse source code at https://github.com/cran/Certara.RsNLME.ModelExecutor


Authors: James Craig [aut, cre] , Mike Talley [aut] , Vitalii Nazarov [aut] , Certara USA , Inc [cph, fnd]


Documentation:   PDF Manual  


LGPL-3 license


Imports Certara.RsNLME, Certara.NLME8, shinyAce, shinymeta, bslib, htmltools, magrittr, dplyr, shiny, shinyFiles, shinyjs, shinyWidgets, stringr, tools, fs, ggplot2, future, promises, reshape, jsonlite, DT

Suggests knitr, rmarkdown, testthat


See at CRAN