Package: lpdensity 2.4

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, Michael Jansson, Xinwei Ma

lpdensity_2.4.tar.gz
lpdensity_2.4.zip(r-4.5)lpdensity_2.4.zip(r-4.4)lpdensity_2.4.zip(r-4.3)
lpdensity_2.4.tgz(r-4.4-any)lpdensity_2.4.tgz(r-4.3-any)
lpdensity_2.4.tar.gz(r-4.5-noble)lpdensity_2.4.tar.gz(r-4.4-noble)
lpdensity_2.4.tgz(r-4.4-emscripten)lpdensity_2.4.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.

3 exports 0.71 score 28 dependencies 2 dependents 34 scripts 806 downloads

Last updated 2 years agofrom:3a4610201b. Checks:OK: 5 NOTE: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 13 2024
R-4.5-winNOTESep 13 2024
R-4.5-linuxNOTESep 13 2024
R-4.4-winOKSep 13 2024
R-4.4-macOKSep 13 2024
R-4.3-winOKSep 13 2024
R-4.3-macOKSep 13 2024

Exports:lpbwdensitylpdensitylpdensity.plot

Dependencies:clicolorspacefansifarverggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerrlangscalestibbleutf8vctrsviridisLitewithr