Learn R Programming

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)

Copy Link

Version

Install

install.packages('Certara.RsNLME.ModelBuilder')

Monthly Downloads

237

Version

3.0.1

License

LGPL-3

Maintainer

James Craig

Last Published

December 20th, 2024

Functions in Certara.RsNLME.ModelBuilder (3.0.1)

modelTextualUI

Edit textual RsNLME model from Shiny GUI
estimatesUI

Shiny GUI to examine the model and evaluate estimates for fixed effects.
create_metamodelTextual

Send metamodel to modelTextualUI() and run shiny application
modelBuilderUI

Build RsNLME model from Shiny GUI and generate corresponding RsNLME code
create_metamodelBuiltin

Run modelBuilderUI() and create resulting metamodel
change_ThetasMmdl

Passes the metamodel to estimatesUI and, after returning, saves it as a metamodel file
NlmeCovarItem-class

Class represents an NLME Covariate parameter