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.
Supplementary materials are available in addition to this article. It can be downloaded at RJ-2021-006.zip
puzzle, saemix, nlmixr, tidyverse
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For attribution, please cite this work as
González-Sales, et al., "The R Journal: Assembling Pharmacometric Datasets in R - The puzzle Package", The R Journal, 2021
BibTeX citation
@article{RJ-2021-006,
author = {González-Sales, Mario and Barrière, Olivier and Tremblay, Pierre Olivier and Bonnefois, Guillaume and Desrochers, Julie and Nekka, Fahima},
title = {The R Journal: Assembling Pharmacometric Datasets in R - The puzzle Package},
journal = {The R Journal},
year = {2021},
note = {https://doi.org/10.32614/RJ-2021-006},
doi = {10.32614/RJ-2021-006},
volume = {12},
issue = {2},
issn = {2073-4859},
pages = {107-119}
}