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paper.md

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The package `lpcde` contributes to a small set of open source statistical
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software packages implementing estimation and inference methods for conditional
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CDF, conditional PDF, and derivatives thereof. More specifically, we identified
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three `R` packages, `hdrcde` [@hdrcde], `haldensify` [@haldensify] and `np`
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three `R` packages, `hdrcde` [@hdrcde], `haldensify` [@haldensify], and `np`
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[@np], and one `Python` package, `cde` [@rothfuss2019conditional], which provide
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related methodology. There are no open source `Stata` packages that implement
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comparable estimation and inference methods. The table below summarizes some of
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# Acknowledgements
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Cattaneo gratefully acknowledges financial support from the National Science Foundation through grants SES-1947805 and DMS-2210561, and from the National Institute of Health (R01 GM072611-16). Jansson gratefully acknowledges financial support from the National Science Foundation through grant SES-1947662.
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Cattaneo gratefully acknowledges financial support from the National Science Foundation through grants SES-1947805, DMS-2210561, and SES-2241575, and from the National Institute of Health (R01 GM072611-16). Jansson gratefully acknowledges financial support from the National Science Foundation through grant SES-1947662.
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# References

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