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Authors
Nima S. Hejazi (0000-0002-7127-2789), Mark J. van der Laan (0000-0002-1019-8343), David Benkeser (0000-0002-1019-8343)
Citation
Hejazi et al., (2022). haldensify: Highly adaptive lasso conditional density estimation in R. Journal of Open Source Software, 7(77), 4522, https://doi.org/10.21105/joss.04522
@article{Hejazi2022,
doi = {10.21105/joss.04522},
url = {https://doi.org/10.21105/joss.04522},
year = {2022},
publisher = {The Open Journal},
volume = {7},
number = {77},
pages = {4522},
author = {Nima S. Hejazi and Mark J. van der Laan and David Benkeser},
title = {`haldensify`: Highly adaptive lasso conditional density estimation in `R`},
journal = {Journal of Open Source Software}
}
Tags
machine learning causal inference conditional density estimation generalized propensity score inverse probability weighting semiparametric inference
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