references.bib

@article{Julia-2017,
    title={Julia: A fresh approach to numerical computing},
    author={Bezanson, Jeff and Edelman, Alan and Karpinski, Stefan and Shah, Viral B},
    journal={SIAM {R}eview},
    volume={59},
    number={1},
    pages={65--98},
    year={2017},
    publisher={SIAM},
    doi={10.1137/141000671},
    url={https://epubs.siam.org/doi/10.1137/141000671}
}
@article{rackauckas2017differentialequations,
  title={Differentialequations.jl--a performant and feature-rich ecosystem for solving differential equations in julia},
  author={Rackauckas, Christopher and Nie, Qing},
  journal={Journal of Open Research Software},
  volume={5},
  number={1},
  pages={15},
  year={2017},
  publisher={Ubiquity Press}
}
@article{mogensen2018optim,
  title={Optim: A mathematical optimization package for Julia},
  author={Mogensen, P and Riseth, A},
  journal={Journal of Open Source Software},
  volume={3},
  number={24},
  year={2018},
  publisher={Open Journals}
}
@misc{Margolskee2020_xGx,
  author = {Margolskee, A. and Khanshan, F. and Stein, A. M. and Ho, Y.-Y. and Looby, M.},
  title  = {Exploratory Graphics (xGx): An open-source pharmacometrician’s workflow in R – from exploration (xGx) to model building (nlmixr) and diagnostics (ggPMX)},
  howpublished = {Tutorial at ACoP11 2020 Annual Meeting (virtual)},
  year   = {2020},
  note   = {Open-source materials available at https://opensource.nibr.com/xgx/}
}
@misc{pumas_datatypes,
  title = {{Pumas Tutorials: Data Wrangling and Visualization}},
  author = {{Pumas Developers}},
  howpublished = {\url{https://tutorials.pumas.ai/html/LearningPaths/01-LP/02-Module/mod2-data-wrangling-visualization.html#reading-and-writing-data}},
  year = {2023},
  note = {Accessed: [Dec 1, 2025]}
}
@misc{SummaryTables,
  title = {{SummaryTables.jl}: Publication-quality tables in Julia},
  author = {{PumasAI}},
  howpublished = {\url{https://pumasai.github.io/SummaryTables.jl/stable/}},
  year = {2024},
  note = {Accessed: Dec 2025}
}

@misc{ReadStatTables,
  title = {{ReadStatTables.jl}},
  author = {{ReadStatTables Developers}},
  howpublished = {\url{https://junyuan-chen.github.io/ReadStatTables.jl/stable/}},
  year = {2023},
  note = {Accessed: Dec 2025}
}

@misc{XLSX,
  title = {{XLSX.jl}},
  author = {{XLSX Developers}},
  howpublished = {\url{https://felipenoris.github.io/XLSX.jl/stable/}},
  year = {2023},
  note = {Accessed: Dec 2025}
}

@misc{AlgebraOfGraphics,
  title = {{AlgebraOfGraphics.jl}: A grammar of graphics for Julia},
  author = {{PumasAI}},
  howpublished = {\url{https://aog.makie.org/stable/}},
  year = {2024},
  note = {Accessed: Dec 2025}
}

@misc{Makie,
  title = {{Makie.jl}},
  author = {{Makie.jl Developers}},
  howpublished = {\url{https://docs.makie.org/stable/}},
  year = {2023},
  note = {Accessed: Dec 2025}
}

% ============================================
% SOFTWARE AND TOOLS
% ============================================

@book{beal2013nonmem,
  title={NONMEM 7.3.0 Users Guides},
  author={Beal, S and Sheiner, LB and Boeckmann, A and Bauer, RJ},
  year={2013},
  publisher={ICON plc, Gaithersburg, MD}
}

@manual{monolix2024,
  title={Monolix version 2024R1},
  author={{Lixoft}},
  year={2024},
  url={http://lixoft.com/products/monolix/}
}

@manual{R2024,
  title={R: A Language and Environment for Statistical Computing},
  author={{R Core Team}},
  organization={R Foundation for Statistical Computing},
  address={Vienna, Austria},
  year={2024},
  url={https://www.R-project.org/}
}

@manual{SAS2024,
  title={{SAS/STAT} Software, Version 9.4},
  author={{SAS Institute Inc.}},
  address={Cary, NC},
  year={2024},
  url={https://www.sas.com/}
}

@manual{Phoenix2024,
  title={Phoenix WinNonlin, Version 8.4},
  author={{Certara USA, Inc.}},
  address={Princeton, NJ},
  year={2024},
  url={https://www.certara.com/software/phoenix-winnonlin/}
}

@book{Python2009,
  title={Python 3 Reference Manual},
  author={Van Rossum, Guido and Drake, Fred L.},
  year={2009},
  publisher={CreateSpace},
  address={Scotts Valley, CA}
}

@manual{MATLAB2024,
  title={{MATLAB} version 24.2 (R2024b)},
  author={{The MathWorks Inc.}},
  address={Natick, Massachusetts},
  year={2024},
  url={https://www.mathworks.com}
}

@book{wickham2016ggplot2,
  title={ggplot2: elegant graphics for data analysis},
  author={Wickham, Hadley},
  year={2016},
  publisher={Springer}
}

@manual{wickham2023dplyr,
  title={dplyr: A Grammar of Data Manipulation},
  author={Wickham, Hadley and Fran{\c{c}}ois, Romain and Henry, Lionel and M{\"u}ller, Kirill and Vaughan, Davis},
  year={2023},
  note={R package version 1.1.2},
  url={https://CRAN.R-project.org/package=dplyr}
}

@article{danisch2021makie,
  title={Makie.jl: Flexible high-performance data visualization for Julia},
  author={Danisch, Simon and Krumbiegel, Julius},
  journal={Journal of Open Source Software},
  volume={6},
  number={65},
  pages={3349},
  year={2021}
}

% ============================================
% PHARMACOMETRIC METHODS AND ALGORITHMS
% ============================================

@article{lindstrom1990nonlinear,
  title={Nonlinear mixed effects models for repeated measures data},
  author={Lindstrom, Mary J and Bates, Douglas M},
  journal={Biometrics},
  volume={46},
  number={3},
  pages={673--687},
  year={1990},
  publisher={JSTOR}
}

@article{kuhn2005maximum,
  title={Maximum likelihood estimation in nonlinear mixed effects models},
  author={Kuhn, Estelle and Lavielle, Marc},
  journal={Computational Statistics \& Data Analysis},
  volume={49},
  number={4},
  pages={1020--1038},
  year={2005},
  publisher={Elsevier}
}

@article{Wei1990,
  title = {A Monte Carlo Implementation of the EM Algorithm and the Poor Man's Data Augmentation Algorithms},
  volume = {85},
  ISSN = {1537-274X},
  url = {http://dx.doi.org/10.1080/01621459.1990.10474930},
  DOI = {10.1080/01621459.1990.10474930},
  number = {411},
  journal = {Journal of the American Statistical Association},
  publisher = {Informa UK Limited},
  author = {Wei,  Greg C. G. and Tanner,  Martin A.},
  year = {1990},
  month = sep,
  pages = {699–704}
}

@article{hoffman2014nuts,
  title={The No-U-Turn sampler: adaptively setting path lengths in Hamiltonian Monte Carlo},
  author={Hoffman, Matthew D and Gelman, Andrew},
  journal={Journal of Machine Learning Research},
  volume={15},
  number={1},
  pages={1593--1623},
  year={2014}
}

@article{hooker2007cwres,
  title={Conditional weighted residuals (CWRES): a model diagnostic for the FOCE method},
  author={Hooker, Andrew C and Staatz, Christine E and Karlsson, Mats O},
  journal={Pharmaceutical Research},
  volume={24},
  number={12},
  pages={2187--2197},
  year={2007},
  publisher={Springer}
}

@article{savic2009shrinkage,
  title={Importance of shrinkage in empirical Bayes estimates for diagnostics: problems and solutions},
  author={Savic, Radojka M and Karlsson, Mats O},
  journal={The AAPS Journal},
  volume={11},
  number={3},
  pages={558--569},
  year={2009},
  publisher={Springer}
}

@article{karlsson2007error,
  title={The importance of modeling interoccasion variability in population pharmacokinetic analyses},
  author={Karlsson, Mats O and Savic, Radojka M},
  journal={Journal of Pharmacokinetics and Pharmacodynamics},
  volume={34},
  number={6},
  pages={735--750},
  year={2007},
  publisher={Springer}
}

% ============================================
% STATISTICAL METHODS
% ============================================

@book{efron1994bootstrap,
  title={An introduction to the bootstrap},
  author={Efron, Bradley and Tibshirani, Robert J},
  year={1994},
  publisher={CRC press}
}

@article{akaike1974aic,
  title={A new look at the statistical model identification},
  author={Akaike, Hirotugu},
  journal={IEEE Transactions on Automatic Control},
  volume={19},
  number={6},
  pages={716--723},
  year={1974},
  publisher={IEEE}
}

@article{schwarz1978bic,
  title={Estimating the dimension of a model},
  author={Schwarz, Gideon},
  journal={The Annals of Statistics},
  volume={6},
  number={2},
  pages={461--464},
  year={1978},
  publisher={Institute of Mathematical Statistics}
}

@article{white1980sandwich,
  title={A heteroskedasticity-consistent covariance matrix estimator and a direct test for heteroskedasticity},
  author={White, Halbert},
  journal={Econometrica},
  volume={48},
  number={4},
  pages={817--838},
  year={1980},
  publisher={JSTOR}
}

% ============================================
% MODEL DIAGNOSTICS AND VALIDATION
% ============================================

@article{holford2005vpc,
  title={The visual predictive check--superiority to standard diagnostic (Rorschach) plots},
  author={Holford, Nicholas},
  journal={PAGE},
  volume={14},
  pages={738},
  year={2005}
}

@article{bergstrand2011vpc,
  title={Prediction-corrected visual predictive checks for diagnosing nonlinear mixed-effects models},
  author={Bergstrand, Martin and Hooker, Andrew C and Wallin, Joakim E and Karlsson, Mats O},
  journal={The AAPS Journal},
  volume={13},
  number={2},
  pages={143--151},
  year={2011},
  publisher={Springer}
}

% ============================================
% PK-PD MODELING
% ============================================

@article{dayneka1993indirect,
  title={Comparison of four basic models of indirect pharmacodynamic responses},
  author={Dayneka, Nicholas L and Garg, Vinod and Jusko, William J},
  journal={Journal of Pharmacokinetics and Biopharmaceutics},
  volume={21},
  number={4},
  pages={457--478},
  year={1993},
  publisher={Springer}
}

@article{jusko1994indirect,
  title={Physiologic indirect response models characterize diverse types of pharmacodynamic effects},
  author={Jusko, William J and Ko, Hocheol C},
  journal={Clinical Pharmacology \& Therapeutics},
  volume={56},
  number={4},
  pages={406--419},
  year={1994},
  publisher={Wiley Online Library}
}

@article{holford1981pkpd,
  title={Understanding the dose-effect relationship},
  author={Holford, NHG and Sheiner, LB},
  journal={Clinical Pharmacokinetics},
  volume={6},
  number={6},
  pages={429--453},
  year={1981},
  publisher={Springer}
}

@article{sharma1998indirect,
  title={Characteristics of indirect pharmacodynamic models and applications to clinical drug responses},
  author={Sharma, Ayyappa and Jusko, William J},
  journal={British Journal of Clinical Pharmacology},
  volume={45},
  number={3},
  pages={229--239},
  year={1998},
  publisher={Wiley Online Library}
}

% ============================================
% ALLOMETRIC SCALING AND COVARIATES
% ============================================

@article{anderson2008allometric,
  title={Mechanistic basis of using body size and maturation to predict clearance in humans},
  author={Anderson, Brian J and Holford, Nick HG},
  journal={Drug Metabolism and Pharmacokinetics},
  volume={23},
  number={1},
  pages={13--25},
  year={2008},
  publisher={Japanese Society for the Study of Xenobiotics}
}

@article{west1997allometric,
  title={A general model for the origin of allometric scaling laws in biology},
  author={West, Geoffrey B and Brown, James H and Enquist, Brian J},
  journal={Science},
  volume={276},
  number={5309},
  pages={122--126},
  year={1997},
  publisher={American Association for the Advancement of Science}
}

% ============================================
% SENSITIVITY ANALYSIS AND IDENTIFIABILITY
% ============================================

@article{sobol2001sensitivity,
  title={Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates},
  author={Sobol, Ilya M},
  journal={Mathematics and Computers in Simulation},
  volume={55},
  number={1-3},
  pages={271--280},
  year={2001},
  publisher={Elsevier}
}

@article{morris1991factorial,
  title={Factorial sampling plans for preliminary computational experiments},
  author={Morris, Max D},
  journal={Technometrics},
  volume={33},
  number={2},
  pages={161--174},
  year={1991},
  publisher={Taylor \& Francis}
}

@article{saltelli1999efast,
  title={A quantitative model-independent method for global sensitivity analysis of model output},
  author={Saltelli, Andrea and Tarantola, Stefano and Chan, Karen PS},
  journal={Technometrics},
  volume={41},
  number={1},
  pages={39--56},
  year={1999},
  publisher={Taylor \& Francis}
}

@article{raue2009identifiability,
  title={Structural and practical identifiability analysis of partially observed dynamical models by exploiting the profile likelihood},
  author={Raue, Andreas and Kreutz, Clemens and Maiwald, Thomas and Bachmann, Julie and Schilling, Marcel and Klingm{\"u}ller, Ursula and Timmer, Jens},
  journal={Bioinformatics},
  volume={25},
  number={15},
  pages={1923--1929},
  year={2009},
  publisher={Oxford University Press}
}

@article{bellman1970structural,
  title={On structural identifiability},
  author={Bellman, Richard and {\AA}str{\"o}m, Karl J},
  journal={Mathematical Biosciences},
  volume={7},
  number={3-4},
  pages={329--339},
  year={1970},
  publisher={Elsevier}
}

% ============================================
% OPTIMAL DESIGN
% ============================================

@book{atkinson2007optimal,
  title={Optimum experimental designs, with SAS},
  author={Atkinson, Anthony and Donev, Alexander and Tobias, Randy},
  year={2007},
  publisher={Oxford University Press}
}

@article{mentre1997optimal,
  title={Optimal design in random-effects regression models},
  author={Mentr{\'e}, France and Mallet, Aur{\'e}lie and Baccar, Djalil},
  journal={Biometrika},
  volume={84},
  number={2},
  pages={429--442},
  year={1997},
  publisher={Oxford University Press}
}

@article{nyberg2012methods,
  title={Methods and software tools for design evaluation in population pharmacokinetics--pharmacodynamics studies},
  author={Nyberg, Joakim and Karlsson, Mats O and Hooker, Andrew C},
  journal={British Journal of Clinical Pharmacology},
  volume={74},
  number={6},
  pages={909--923},
  year={2012},
  publisher={Wiley Online Library}
}

% ============================================
% MACHINE LEARNING IN PKPD
% ============================================

@article{rackauckas2020universal,
  title={Universal differential equations for scientific machine learning},
  author={Rackauckas, Christopher and Ma, Yingbo and Martensen, Julius and Warner, Collin and Zubov, Kirill and Supekar, Rohit and Skinner, Dominic and Ramadhan, Ali and Edelman, Alan},
  journal={arXiv preprint arXiv:2001.04385},
  year={2020}
}

@article{raissi2019pinn,
  title={Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations},
  author={Raissi, Maziar and Perdikaris, Paris and Karniadakis, George E},
  journal={Journal of Computational Physics},
  volume={378},
  pages={686--707},
  year={2019},
  publisher={Elsevier}
}

% ============================================
% REGULATORY GUIDANCE AND MIDD
% ============================================

@misc{fda2022popPK,
  title={Population Pharmacokinetics: Guidance for Industry},
  author={{FDA}},
  year={2022},
  howpublished={U.S. Department of Health and Human Services, Food and Drug Administration, Center for Drug Evaluation and Research (CDER)},
  url={https://www.fda.gov/regulatory-information/search-fda-guidance-documents/population-pharmacokinetics}
}

@misc{fda2014bioequivalence,
  title={Bioavailability and Bioequivalence Studies Submitted in NDAs or INDs--General Considerations},
  author={{FDA}},
  year={2014},
  howpublished={U.S. Department of Health and Human Services, Food and Drug Administration, Center for Drug Evaluation and Research (CDER)},
  url={https://www.fda.gov/regulatory-information/search-fda-guidance-documents/bioavailability-and-bioequivalence-studies-submitted-ndas-or-inds-general-considerations}
}

@misc{ema2010bioequivalence,
  title={Guideline on the Investigation of Bioequivalence},
  author={{EMA}},
  year={2010},
  howpublished={European Medicines Agency, Committee for Medicinal Products for Human Use (CHMP)},
  url={https://www.ema.europa.eu/en/documents/scientific-guideline/guideline-investigation-bioequivalence-rev1_en.pdf}
}

@article{marshall2016midd,
  title={Good practices in model-informed drug discovery and development: practice, application, and documentation},
  author={Marshall, Stuart F and Burghaus, Rolf and Cosson, Vincent and Cheung, Siew Yee and Chenel, Marylore and DellaPasqua, Oscar and Frey, Nicolas and Hamr{\'e}n, Bengt and Harnisch, Loew and Ivanow, Fran{\c{c}}ois and others},
  journal={CPT: Pharmacometrics \& Systems Pharmacology},
  volume={5},
  number={3},
  pages={93--122},
  year={2016},
  publisher={Wiley Online Library}
}

@article{barrett2022midd,
  title={Model-informed drug discovery and development: current industry good practice and regulatory expectations},
  author={Barrett, Jeffrey S and Narayan, Murali and Patel, Kinjal and Zutshi, Abhishek and Cheung, Siew Yee and Dodds, Michael G and Ene, Ivelina and Gopalakrishnan, Mathangi and Fossler, Michael J and Holloway, Christopher W and others},
  journal={CPT: Pharmacometrics \& Systems Pharmacology},
  volume={11},
  number={12},
  pages={1583--1608},
  year={2022},
  publisher={Wiley Online Library}
}

% ============================================
% PHARMACOMETRIC TEXTBOOKS AND TUTORIALS
% ============================================

@book{gabrielsson2006pharmacokinetic,
  title={Pharmacokinetic and pharmacodynamic data analysis: concepts and applications},
  author={Gabrielsson, Johan and Weiner, Daniel},
  year={2006},
  publisher={Swedish Pharmaceutical Press},
  edition={4th}
}

@book{bonate2011pharmacokinetic,
  title={Pharmacokinetic-pharmacodynamic modeling and simulation},
  author={Bonate, Peter L},
  year={2011},
  publisher={Springer},
  edition={2nd}
}

@article{bauer2019nonmem,
  title={NONMEM tutorial part II: estimation methods and advanced examples},
  author={Bauer, Robert J},
  journal={CPT: Pharmacometrics \& Systems Pharmacology},
  volume={8},
  number={8},
  pages={538--556},
  year={2019},
  publisher={Wiley Online Library}
}

@article{upton2014nonmem,
  title={Basic concepts in population modeling, simulation, and model-based drug development: part 3--introduction to pharmacokinetic modeling methods},
  author={Upton, Richard N and Mould, Diane R},
  journal={CPT: Pharmacometrics \& Systems Pharmacology},
  volume={3},
  number={1},
  pages={e88},
  year={2014},
  publisher={Wiley Online Library}
}

% ============================================
% PHARMACOKINETIC FUNDAMENTALS
% ============================================

@book{rowland2011clinical,
  title={Clinical pharmacokinetics and pharmacodynamics: concepts and applications},
  author={Rowland, Malcolm and Tozer, Thomas N},
  year={2011},
  publisher={Lippincott Williams \& Wilkins},
  edition={4th}
}

% ============================================
% CDISC STANDARDS
% ============================================

@misc{cdisc2023,
  title={Clinical Data Interchange Standards Consortium (CDISC) Standards},
  author={{CDISC}},
  year={2023},
  howpublished={CDISC},
  url={https://www.cdisc.org/standards}
}

% ============================================
% QUARTO AND REPRODUCIBLE RESEARCH
% ============================================

@misc{allaire2023quarto,
  title={Quarto: An open-source scientific and technical publishing system},
  author={Allaire, JJ and Teague, Charles and Xie, Yihui and Dervieux, Christophe},
  year={2023},
  howpublished={Posit Software, PBC},
  url={https://quarto.org}
}

@article{sandve2013reproducible,
  title={Ten simple rules for reproducible computational research},
  author={Sandve, Geir Kjetil and Nekrutenko, Anton and Taylor, James and Hovig, Eivind},
  journal={PLoS Computational Biology},
  volume={9},
  number={10},
  pages={e1003285},
  year={2013},
  publisher={Public Library of Science}
}

% ============================================
% PUMASAI OPEN-SOURCE PACKAGES
% ============================================

@misc{WriteDocx,
  title = {{WriteDocx.jl}: Programmatic generation of Word documents in Julia},
  author = {{PumasAI}},
  howpublished = {\url{https://pumasai.github.io/WriteDocx.jl/dev/}},
  year = {2024},
  note = {Accessed: Dec 2025}
}

@misc{QuartoNotebookRunner,
  title = {{QuartoNotebookRunner.jl}: Backend for executing Quarto notebooks with Julia},
  author = {{PumasAI}},
  howpublished = {\url{https://github.com/PumasAI/QuartoNotebookRunner.jl}},
  year = {2024},
  note = {Accessed: Dec 2025}
}

@misc{QuartoTools,
  title = {{QuartoTools.jl}: Integration utilities for Quarto document rendering},
  author = {{PumasAI}},
  howpublished = {\url{https://pumasai.github.io/QuartoTools.jl/stable/}},
  year = {2024},
  note = {Accessed: Dec 2025}
}

@misc{SimpleChains,
  title = {{SimpleChains.jl}: High-performance neural networks for small models},
  author = {{PumasAI}},
  howpublished = {\url{https://pumasai.github.io/SimpleChains.jl/stable/}},
  year = {2024},
  note = {Accessed: Dec 2025}
}

% ============================================
% JULIA ECOSYSTEM PACKAGES
% ============================================

@misc{DataFrames,
  title = {{DataFrames.jl}: Flexible data manipulation in Julia},
  author = {{JuliaData}},
  howpublished = {\url{https://dataframes.juliadata.org/stable/}},
  year = {2024},
  note = {Accessed: Dec 2025}
}

@misc{DataFramesMeta,
  title = {{DataFramesMeta.jl}: Metaprogramming tools for DataFrames.jl},
  author = {{JuliaData}},
  howpublished = {\url{https://juliadata.github.io/DataFramesMeta.jl/stable/}},
  year = {2024},
  note = {Accessed: Dec 2025}
}

@misc{CSV,
  title = {{CSV.jl}: Fast and flexible CSV reading and writing in Julia},
  author = {{JuliaData}},
  howpublished = {\url{https://csv.juliadata.org/stable/}},
  year = {2024},
  note = {Accessed: Dec 2025}
}

@inproceedings{AdvancedHMC,
  title={AdvancedHMC. jl: A robust, modular and efficient implementation of advanced HMC algorithms},
  author={Xu, Kai and Ge, Hong and Tebbutt, Will and Tarek, Mohamed and Trapp, Martin and Ghahramani, Zoubin},
  booktitle={Symposium on Advances in Approximate Bayesian Inference},
  pages={1--10},
  year={2020},
  organization={PMLR}
}

@misc{StableRNGs,
  title = {{StableRNGs.jl}: Stable random number generators for reproducible results},
  author = {{JuliaRandom}},
  howpublished = {\url{https://github.com/JuliaRandom/StableRNGs.jl}},
  year = {2024},
  note = {Accessed: Dec 2025}
}

@misc{pumas2024docs,
  title = {{Pumas Documentation}},
  author = {{PumasAI}},
  howpublished = {\url{https://docs.pumas.ai/}},
  year = {2024},
  note = {Accessed: Dec 2025}
}

@misc{askpumas2024,
  title = {{AskPumas}: AI-powered learning assistant for pharmacometrics in Pumas},
  author = {{PumasAI}},
  howpublished = {\url{https://ask.pumas.ai/}},
  year = {2024},
  note = {Accessed: Dec 2025}
}

@misc{pumasdiscourse,
  title = {{Pumas Discourse Forum}},
  author = {{PumasAI}},
  howpublished = {\url{https://discourse.pumas.ai/}},
  year = {2024},
  note = {Accessed: Dec 2025}
}

@misc{juliadocs,
  title = {{Julia Documentation}},
  author = {{JuliaLang}},
  howpublished = {\url{https://docs.julialang.org/}},
  year = {2024},
  note = {Accessed: Dec 2025}
}

@misc{pumastutorials,
  title = {{Pumas Tutorials}},
  author = {{PumasAI}},
  howpublished = {\url{https://tutorials.pumas.ai/}},
  year = {2024},
  note = {Accessed: Dec 2025}
}