Introduction to MetrumRG tools

Brief overview of MetrumRG tools

mpn
pkgr
bbr
mrggsave
mrgsolve
pmforest
pmplots
pmtables
yspec

Introduction

The following packages are maintained and supported under Metrum Research Group (MetrumRG)’s software development lifecycle (SDLC). Every MetrumRG package is linked with its respective user guide, website, vignettes, repository, and additional learning material. An introductory page is linked if the package is used extensively throughout the Expo.

All of our tools are free and open-source; however, they are built and optimized for use on our Metworx platform.

MPN (MetrumRG Package Network) and pkgr

Create and manage curated, reproducible R package environments.

MPN is an open repository of ~1000 packages specific to PMX sourced from CRAN and GitHub which is freely available and accessible to all. pkgr is a command line tool to help project collaborators quickly identify and install all the packages relevant to a given project.

bbr

Manage, track, and report modeling activities through simple R objects with a user-friendly interface between R and NONMEM®.

bbr is used to submit models, consume outputs and diagnostics, and iterate through models during development. It also provides simple model tagging options and model inheritance trees to support the replication and external review of your work.

bbr.bayes

Manage, track, and report modeling activities through simple R objects with a user-friendly interface between R and NONMEM®.

bbr.bayes is used to create and submit NONMEM® models that use Bayesian estimation, create model summaries, and iterate through models during development. It also provides simple model tagging options and model inheritance trees to support the replication and external review of your work.

mrgsolve

Simulate from ODE-based population PK/PD and QSP models in R.

mrgsolve is used to create a model specification file consisting of R and C++ code that is parsed, compiled, and dynamically loaded into the R session. Input data is passed in and simulated data is returned as R objects, so disk access is never required during the simulation cycle after compiling. The resulting computational efficiency facilitates model exploration and application during both model development and decision-making phases of a drug development program.

pmforest

Create forest plots for pharmacometrics to visualize variables of interest.

pmplots

Create exploratory and diagnostic plots for pharmacometrics.

pmplots provides light wrappers around ggplot2, plotting code tailored for pharmacometric applications.

pmtables

Create summary tables commonly used in pharmacometrics and turn any R table into a highly customized, publication-quality tex table.

yspec

Data specification, wrangling, and documentation for pharmacometrics.