• Nima Hejazi. Author, maintainer, copyright holder.

  • David Benkeser. Author.

  • Mark van der Laan. Author, thesis advisor.

  • Rachael Phillips. Contributor.

Citation

Source: inst/CITATION

Hejazi N, Benkeser D, van der Laan M (2022). haldensify: Highly adaptive lasso conditional density estimation. doi:10.5281/zenodo.3698329, R package version 0.2.5, https://github.com/nhejazi/haldensify.

@Manual{,
  title = {{haldensify}: Highly adaptive lasso conditional density estimation},
  author = {Nima S Hejazi and David Benkeser and Mark J {van der Laan}},
  year = {2022},
  note = {R package version 0.2.5},
  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.

@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.

@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},
}