Pharmacometric Model Building Using 'shiny'

Develop Nonlinear Mixed Effects (NLME) models for pharmacometrics using a 'shiny' interface. The Pharmacometric Modeling Language (PML) code updates in real time given changes to user inputs. Models can be executed using the 'Certara.RsNLME' package. Additional support to generate the underlying 'Certara.RsNLME' code to recreate the corresponding model in R is provided in the user interface.

RsNLME Model Builder

Overview

Certara.RsNLME.ModelBuilder is an R package and Shiny application used to build an RsNLME model.

Use the GUI to select from various model building options and observe the PML update in real time. Additionally, users may generate the corresponding RsNLME code to learn reproduce the model object from R.

Installation

Windows

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

Linux

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

Usage

Use the built in data object from the Certara.RsNLME package to explore functionality inside Certara.RsNLME.ModelBuilder.

library(Certara.RsNLME.ModelBuilder)
library(Certara.RsNLME)

model <- modelBuilderUI(data = pkData)