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 <scalonico@ucdavis.edu>
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, <doi:10.1080/01621459.2017.1285776>). 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, <doi:10.18637/jss.v091.i08>).
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: 2026-05-18 21:54:24 UTC; ncalonic
Repository: CRAN
Date/Publication: 2026-05-19 05:10:09 UTC
