Package: lpdensity 2.5

lpdensity: Local Polynomial Density Estimation and Inference

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.

Authors:Matias D. Cattaneo [aut], Michael Jansson [aut], Xinwei Ma [aut, cre]

lpdensity_2.5.tar.gz
lpdensity_2.5.zip(r-4.5)lpdensity_2.5.zip(r-4.4)lpdensity_2.5.zip(r-4.3)
lpdensity_2.5.tgz(r-4.4-any)lpdensity_2.5.tgz(r-4.3-any)
lpdensity_2.5.tar.gz(r-4.5-noble)lpdensity_2.5.tar.gz(r-4.4-noble)
lpdensity_2.5.tgz(r-4.4-emscripten)lpdensity_2.5.tgz(r-4.3-emscripten)
lpdensity.pdf |lpdensity.html
lpdensity/json (API)

# Install 'lpdensity' in R:
install.packages('lpdensity', repos = c('https://xinweima.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.51 score 2 packages 35 scripts 1.5k downloads 3 exports 28 dependencies

Last updated 2 months agofrom:2eba61e2cc. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKDec 06 2024
R-4.5-winOKDec 06 2024
R-4.5-linuxOKDec 06 2024
R-4.4-winOKDec 06 2024
R-4.4-macOKDec 06 2024
R-4.3-winOKDec 06 2024
R-4.3-macOKDec 06 2024

Exports:lpbwdensitylpdensitylpdensity.plot

Dependencies:clicolorspacefansifarverggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerrlangscalestibbleutf8vctrsviridisLitewithr