Please cite the following works when using the 'haldensify' software
package, including both the software tool and any articles describing
the statistical methodology.

  Hejazi N, Benkeser D, van der Laan M (2024). _haldensify: Highly
  adaptive lasso conditional density estimation_.
  doi:10.5281/zenodo.3698329 <https://doi.org/10.5281/zenodo.3698329>,
  R package version 0.2.6, <https://github.com/nhejazi/haldensify>.

A BibTeX entry for LaTeX users is

  @Manual{,
    title = {{haldensify}: Highly adaptive lasso conditional density estimation},
    author = {Nima S Hejazi and David Benkeser and Mark J {van der Laan}},
    year = {2024},
    note = {R package version 0.2.6},
    doi = {10.5281/zenodo.3698329},
    url = {https://github.com/nhejazi/haldensify},
  }

  Hejazi N, van der Laan M, Benkeser D (2022). “haldensify: Highly
  adaptive lasso conditional density estimation in R.” _Journal of Open
  Source Software_. doi:10.21105/joss.04522
  <https://doi.org/10.21105/joss.04522>,
  <https://doi.org/10.21105/joss.04522>.

A BibTeX entry for LaTeX users is

  @Article{,
    title = {{haldensify}: Highly adaptive lasso conditional density estimation in {R}},
    author = {Nima S Hejazi and Mark J {van der Laan} and David Benkeser},
    year = {2022},
    journal = {Journal of Open Source Software},
    publisher = {The Open Journal},
    doi = {10.21105/joss.04522},
    url = {https://doi.org/10.21105/joss.04522},
  }

  Hejazi N, Benkeser D, Díaz I, van der Laan M (2022). “Efficient
  estimation of modified treatment policy effects based on the
  generalized propensity score.” _arXiv_.
  <https://arxiv.org/abs/2205.05777>.

A BibTeX entry for LaTeX users is

  @Article{,
    title = {Efficient estimation of modified treatment policy effects based on the generalized propensity score},
    author = {Nima S Hejazi and David Benkeser and Iván Díaz and Mark J {van der Laan}},
    year = {2022},
    journal = {arXiv},
    url = {https://arxiv.org/abs/2205.05777},
  }