# --------------------------------------------
# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "lpdensity" in publications use:'
type: software
license: GPL-2.0-only
title: 'lpdensity: Local Polynomial Density Estimation and Inference'
version: '2.5'
doi: 10.18637/jss.v101.i02
identifiers:
- type: doi
  value: 10.32614/CRAN.package.lpdensity
abstract: '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) <https://doi.org/10.18637/jss.v101.i02>:
  lpdensity() to construct local polynomial based density (and derivatives) estimator,
  and lpbwdensity() to perform data-driven bandwidth selection.'
authors:
- family-names: Cattaneo
  given-names: Matias D.
- family-names: Jansson
  given-names: Michael
- family-names: Ma
  given-names: Xinwei
  email: x1ma@ucsd.edu
preferred-citation:
  type: article
  title: 'lpdensity: Local Polynomial Density Estimation and Inference'
  authors:
  - family-names: Cattaneo
    given-names: Matias D.
    email: cattaneo@princeton.edu
  - family-names: Jansson
    given-names: Michael
    email: mjansson@econ.berkeley.edu
  - family-names: Ma
    given-names: Xinwei
    email: x1ma@ucsd.edu
  journal: Journal of Statistical Software
  year: '2022'
  volume: '101'
  issue: '2'
  doi: 10.18637/jss.v101.i02
  start: '1'
  end: '25'
repository: https://CRAN.R-project.org/package=lpdensity
date-released: '2024-10-06'
contact:
- family-names: Ma
  given-names: Xinwei
  email: x1ma@ucsd.edu