Two-Compt IV Bolus Model

Two-Compartment IV Bolus PK Model

Background & Objective

RsNLME provides an R interface to the Phoenix NLME engine to enable users to:

Define PK/PD models via R objects with readable syntax using the piping operator (%>%) from magrittr package
Perform estimation and simulation in an R environment with the capability of parallelizing the runs using Multicore, MPI and Grids
Access the xpose library for diagnostic plots by creating compatible database from NLME results

RsNLME also provides a number of shiny apps to facilitate the process of model building and model execution.

The objective is to demonstrate the functionalities of RsNLME through developing a two-compartment population PK model.

Define the base model through built-in model library
Using the provided Initial estimates shiny app to visually determine a set of reasonable initial values for fixed effects
Fit the base model with initial estimates picked from shiny app
Create commonly used Diagnostic plots
Add covariates to the base model and then identify covariates through the Stepwise covariate search
Perform Bootstrapping analysis for the model selected by the covariate search

Note:R script for this example, TwoCptIVBolus_FitBaseModel_CovariateSearch_BootStrapping.R, can be downloaded from RsNLME Examples.