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 (2025).haldensify: Highly adaptive lasso conditional density estimation.doi:10.5281/zenodo.3698329, R package version 0.2.8,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.
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.
Corresponding BibTeX entries:
@Manual{, title = {{haldensify}: Highly adaptive lasso conditional density estimation}, author = {Nima S Hejazi and David Benkeser and Mark J {van der Laan}}, year = {2025}, note = {R package version 0.2.8}, doi = {10.5281/zenodo.3698329}, url = {https://github.com/nhejazi/haldensify}, } @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}, } @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}, }