In tsahota/NMproject: Script Based 'NONMEM' Model Development

knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>"
)

library(NMproject)

Creating Analysis Project

It is recommended to work in structured. Create a new analysis project via the RStudio menu items: FILE -> New Project -> New Directory -> New NMproject. The underlying function being used to create this analysis project is nm_create_analysis_project(). See documentation for detailed information including how to modify the structure to suit your preferences.

Follow through the instructions, you'll be asked for a location, a name and whether you want to use renv to manage project library directories. See renv documentation for more information.

Once created you'll see a clean analysis directory with empty subfolders.

Default the subdirectories for model development (these can be modified - see nm_create_analysis_project() documentation):

• SourceData : intended for unmodified source datasets entering the analysis project

• DerivedData : intended for cleaned and processed NONMEM ready datasets

• Scripts : intended for all R scripts

• Models : intended for all NONMEM modelling

• Results : intended as default location for run diagnostics, plots and tables

Creating new R markdown documents

There is nothing mandating the use of R markdown in NMproject. You can use scripts. However R markdown documents produce nice shareable model development logs which provide a readable description of what steps were performed and in what order.

It is advisable to always start from a template. Templates can be accessed in File -> New File -> R markdown... -> From Template. Two to get started with are NMproject generic which we'll use as a generic template for data processing and cleaning and model development for our model development notebook.

tsahota/NMproject documentation built on Oct. 1, 2022, 11:51 a.m.