TMLE.jl: Targeted Minimum Loss-Based Estimation in Julia

Julia Submitted 06 June 2025Published 18 August 2025
Review

Editor: @jbytecode (all papers)
Reviewers: @nhejazi (all reviews), @salbalkus (all reviews), @mantzaris (all reviews)

Authors

Olivier Labayle (0000-0002-3708-3706), Chris P. Ponting (0000-0003-0202-7816), Mark J. van der Laan, Ava Khamseh (0000-0001-5203-2205), Sjoerd Viktor Beentjes (0000-0002-7998-4262)

Citation

Labayle et al., (2025). TMLE.jl: Targeted Minimum Loss-Based Estimation in Julia. Journal of Open Source Software, 10(112), 8446, https://doi.org/10.21105/joss.08446

@article{Labayle2025, doi = {10.21105/joss.08446}, url = {https://doi.org/10.21105/joss.08446}, year = {2025}, publisher = {The Open Journal}, volume = {10}, number = {112}, pages = {8446}, author = {Labayle, Olivier and Ponting, Chris P. and van der Laan, Mark J. and Khamseh, Ava and Beentjes, Sjoerd Viktor}, title = {TMLE.jl: Targeted Minimum Loss-Based Estimation in Julia}, journal = {Journal of Open Source Software} }
Copy citation string · Copy BibTeX  
Tags

julia statistics semiparametric statistics machine learning causal inference

Altmetrics
Markdown badge

 

License

Authors of JOSS papers retain copyright.

This work is licensed under a Creative Commons Attribution 4.0 International License.

Creative Commons License

Table of Contents
Public user content licensed CC BY 4.0 unless otherwise specified.
ISSN 2475-9066