inst/CITATION
Hejazi N, Benkeser D, van der Laan M (2024). haldensify: Highly adaptive lasso conditional density estimation. doi:10.5281/zenodo.3698329, R package version 0.2.6, 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 = {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.
@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},
}