The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
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>).
| Version: | 1.0.0 |
| Depends: | R (≥ 3.6.0) |
| Imports: | ggplot2 |
| Suggests: | testthat (≥ 3.0.0), broom, sandwich |
| Published: | 2026-05-19 |
| DOI: | 10.32614/CRAN.package.nprobust |
| Author: | Sebastian Calonico [aut, cre], Matias D. Cattaneo [aut], Max H. Farrell [aut] |
| Maintainer: | Sebastian Calonico <scalonico at ucdavis.edu> |
| BugReports: | https://github.com/nppackages/nprobust/issues |
| License: | GPL-3 |
| URL: | https://github.com/nppackages/nprobust |
| NeedsCompilation: | no |
| Citation: | nprobust citation info |
| Materials: | README |
| CRAN checks: | nprobust results |
| Reference manual: | nprobust.html , nprobust.pdf |
| Package source: | nprobust_1.0.0.tar.gz |
| Windows binaries: | r-devel: nprobust_0.5.0.zip, r-release: nprobust_1.0.0.zip, r-oldrel: nprobust_1.0.0.zip |
| macOS binaries: | r-release (arm64): nprobust_1.0.0.tgz, r-oldrel (arm64): nprobust_1.0.0.tgz, r-release (x86_64): nprobust_1.0.0.tgz, r-oldrel (x86_64): nprobust_1.0.0.tgz |
| Old sources: | nprobust archive |
| Reverse imports: | DIDHAD, rdlearn |
| Reverse suggests: | tidyhte |
Please use the canonical form https://CRAN.R-project.org/package=nprobust to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.