Cost: Industry: $300 / Academia+Government: $200 / Student: $100

Join us for a half-day pre-meeting workshop at ACoP13!

Instructors

• Kyle Baron, PharmD, PhD
• Sam Callisto, PhD
• Seth Green, MS
• Matthew Riggs, PhD

Learning Objectives

• Identify the available open-source R packages developed by MetrumRG to support traceable, reproducible, and scalable pharmacometric analyses
• Explore a reproducible pharmacometric analysis workflow

Topic Outline

• Introduction to MetrumRG’s open-source R package ecosystem
  • Metrum Package Network (MPN) / pkgr: curated, reproducible R package environment 
  • bbi/bbr: a user-friendly interface between R and NONMEM® to manage, track, and report modeling activities through simple R objects  
  • yspec: data specifications, wrangling, and documentation
  • pmplots: exploratory and diagnostic plots for pharmacometrics
  • pmforest: forest plots, a visualization tool for identified variables of interest, for pharmacometrics
  • mrggsave: labeling, arranging, and saving figures
  • pmtables: tables for pharmacometrics including (i) built in functions to summarize data disposition and continuous or categorical variables, and (ii) simple functions to turn any dataframe/tibble into a highly customized tex table
  • lastdose: calculating last dose amount and time since previous doses 
• Demonstration of individual R packages and how they support scalability and reproducibility during:
  • Project setup 
  • Data assembly
  • Data exploration
  • Model development and evaluation 
  • Simulation
  • Reporting
• Resources for additional learning

To register, visit the ACoP meeting website.