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Without imposing stringent distributional assumptions or shape restrictions, nonparametric estimation has been popular in economics and other social sciences for counterfactual analysis, program evaluation, and policy recommendations. This package implements a novel density (and derivatives) estimator based on local polynomial regressions, documented in Cattaneo, Jansson and Ma (2022) <doi:10.18637/jss.v101.i02>: lpdensity() to construct local polynomial based density (and derivatives) estimator, and lpbwdensity() to perform data-driven bandwidth selection.
Version: | 2.5 |
Depends: | R (≥ 3.1) |
Imports: | ggplot2, MASS |
Published: | 2024-10-06 |
DOI: | 10.32614/CRAN.package.lpdensity |
Author: | Matias D. Cattaneo [aut], Michael Jansson [aut], Xinwei Ma [aut, cre] |
Maintainer: | Xinwei Ma <x1ma at ucsd.edu> |
License: | GPL-2 |
NeedsCompilation: | no |
Citation: | lpdensity citation info |
CRAN checks: | lpdensity results |
Reference manual: | lpdensity.pdf |
Package source: | lpdensity_2.5.tar.gz |
Windows binaries: | r-devel: lpdensity_2.5.zip, r-release: lpdensity_2.5.zip, r-oldrel: lpdensity_2.5.zip |
macOS binaries: | r-release (arm64): lpdensity_2.5.tgz, r-oldrel (arm64): lpdensity_2.5.tgz, r-release (x86_64): lpdensity_2.5.tgz, r-oldrel (x86_64): lpdensity_2.5.tgz |
Old sources: | lpdensity archive |
Reverse imports: | rddensity |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.