Kernel Density and Local Polynomial Regression Methods
Overview
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).
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK14 OK2026-04-22
- ERROR13 OK, 1 ERROR2026-04-18
- OK14 OK2026-03-10
Documentation
- Help pages
- 6includes a package overview page
- Examples that run
- 100%5 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 96%
- Return-value docs
- 100%
- Help pages citing references
- 100%
Downloads
Repository
- PRs merged (all time)
- 100%
- Median days to close, 50 most recently updated closed issues
- not measured
- Median days to close, 50 most recently updated closed PRs
- 0
Stars over time
Forks over time
Issues over time
6 development-tooling and community-health practices detected across 3 families in the upstream repository
Checks run against github.com/nppackages/nprobust on 2026-10-21.
The R CMD check workflow runs on Linux
Dependencies
Installing nprobust adds 17 packages (7 with compiled code, 14 MB of source tarballs). Heaviest: ggplot2 6.0 MB, isoband 1.5 MB, farver 1.2 MB.
Code & Tests
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- RR 3.6.0 released · 2019-04-26
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Package metadata
- First published
- 2016-11-07
- Total releases
- 12 / 10 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 3.6.0
- Download size
- 41 KB
Cite
Cite this package
Run in R for the authors' entry:
citation("nprobust")The package provides a citation file, so citation() returns the authors' own entry.
It points to 10.18637/jss.v091.i08.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.