The R Journal: article published in 2020, volume 12:2

Assembling Pharmacometric Datasets in R - The puzzle Package PDF download
Mario González-Sales, Olivier Barrière, Pierre Olivier Tremblay, Guillaume Bonnefois, Julie Desrochers and Fahima Nekka , The R Journal (2020) 12:2, pages 107-119.

Abstract Pharmacometric analyses are integral components of the drug development process. The core of each pharmacometric analysis is a dataset. The time required to construct a pharmacometrics dataset can sometimes be higher than the effort required for the modeling per se. To simplify the process, the puzzle R package has been developed aimed at simplifying and facilitating the time consuming and error prone task of assembling pharmacometrics datasets. Puzzle consist of a series of functions written in R. These functions create, from tabulated files, datasets that are compatible with the formatting requirements of the gold standard non-linear mixed effects modeling software. With only one function, puzzle(), complex pharmacometrics databases can easily be assembled. Users are able to select from different absorption processes such as zeroand first-order, or a com bination of both. Furthermore, datasets containing data from one or more analytes, and/or one or more responses, and/or time dependent and/or independent covariates, and/or urine data can be simultaneously assembled. The puzzle package is a powerful and efficient tool that helps modelers, programmers and pharmacometricians through the challenging process of assembling pharmacometrics datasets.

Received: 2019-07-19; online 2021-01-14, supplementary material, (448.3 KiB)
CRAN packages: puzzle, saemix, nlmixr, tidyverse

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This article and supplementary materials are licensed under a Creative Commons Attribution 4.0 International license.

  author = {Mario González-Sales and Olivier Barrière and Pierre
          Olivier Tremblay and Guillaume Bonnefois and Julie
          Desrochers and Fahima Nekka},
  title = {{Assembling Pharmacometric Datasets in R - The puzzle Package}},
  year = {2021},
  journal = {{The R Journal}},
  doi = {10.32614/RJ-2021-006},
  url = {},
  pages = {107--119},
  volume = {12},
  number = {2}