Package: nprobust Type: Package Title: Kernel Density and Local Polynomial Regression Methods Version: 1.0.0 Date: 2026-05-17 Authors@R: c(person(given = c("Sebastian"), family = "Calonico", role = c("aut", "cre"), email = "scalonico@ucdavis.edu"), person(given = c("Matias", "D."), family = "Cattaneo", role = "aut", email = "matias.d.cattaneo@gmail.com"), person(given = c("Max", "H."), family = "Farrell", role = "aut", email = "mhfarrell@gmail.com")) Author: Sebastian Calonico [aut, cre], Matias D. Cattaneo [aut], Max H. Farrell [aut] Maintainer: Sebastian Calonico Description: Estimation, inference, bandwidth selection, and graphical procedures for kernel density and local polynomial regression methods, including robust bias-corrected confidence intervals as described in Calonico, Cattaneo and Farrell (2018, ). The package includes 'lprobust()' for local polynomial point estimation and robust bias-corrected inference, 'lpbwselect()' for local polynomial bandwidth selection, 'kdrobust()' for kernel density point estimation and robust bias-corrected inference, 'kdbwselect()' for kernel density bandwidth selection, and 'nprobust.plot()' for plotting results. The main methodological and numerical features are described in Calonico, Cattaneo and Farrell (2019, ). Encoding: UTF-8 Depends: R (>= 3.6.0) License: GPL-3 URL: https://github.com/nppackages/nprobust BugReports: https://github.com/nppackages/nprobust/issues Imports: ggplot2 Suggests: testthat (>= 3.0.0), broom, sandwich Config/testthat/edition: 3 NeedsCompilation: no Packaged: 2026-10-16 06:28:28 UTC; root Repository: https://scalonico.r-universe.dev Date/Publication: 2026-05-19 05:10:09 UTC RemoteUrl: https://github.com/cran/nprobust RemoteRef: HEAD RemoteSha: dd598ed6ba2aa472d2d1ce486e5158f7f870d750