nprobust
Nonparametric Robust Estimation and Inference Methods using Local Polynomial Regression and Kernel Density Estimation
Tools for data-driven statistical analysis using local polynomial regression and kernel density estimation methods as described in Calonico, Cattaneo and Farrell (2018, <doi:10.1080/01621459.2017.1285776>): '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 of this package are described in Calonico, Cattaneo and Farrell (2019, <doi:10.18637/jss.v091.i08>).
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.5.0 |
rolling linux/jammy R-4.5 | nprobust_0.5.0.tar.gz |
239.2 KiB |
0.5.0 |
rolling linux/noble R-4.5 | nprobust_0.5.0.tar.gz |
244.0 KiB |
0.5.0 |
rolling source/ R- | nprobust_0.5.0.tar.gz |
25.1 KiB |
0.5.0 |
latest linux/jammy R-4.5 | nprobust_0.5.0.tar.gz |
239.2 KiB |
0.5.0 |
latest linux/noble R-4.5 | nprobust_0.5.0.tar.gz |
244.0 KiB |
0.5.0 |
latest source/ R- | nprobust_0.5.0.tar.gz |
25.1 KiB |
0.5.0 |
2026-04-26 source/ R- | nprobust_0.5.0.tar.gz |
25.1 KiB |
0.5.0 |
2026-04-23 source/ R- | nprobust_0.5.0.tar.gz |
25.1 KiB |
0.5.0 |
2026-04-09 windows/windows R-4.5 | nprobust_0.5.0.zip |
656.3 KiB |
0.5.0 |
2025-04-20 source/ R- | nprobust_0.5.0.tar.gz |
25.1 KiB |