lspartition
Nonparametric Estimation and Inference Procedures using Partitioning-Based Least Squares Regression
Tools for statistical analysis using partitioning-based least squares regression as described in Cattaneo, Farrell and Feng (2020a, <doi:10.48550/arXiv.1804.04916>) and Cattaneo, Farrell and Feng (2020b, <doi:10.48550/arXiv.1906.00202>): lsprobust() for nonparametric point estimation of regression functions and their derivatives and for robust bias-corrected (pointwise and uniform) inference; lspkselect() for data-driven selection of the IMSE-optimal number of knots; lsprobust.plot() for regression plots with robust confidence intervals and confidence bands; lsplincom() for estimation and inference for linear combinations of regression functions from different groups.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.5 |
rolling linux/jammy R-4.5 | lspartition_0.5.tar.gz |
2.3 MiB |
0.5 |
rolling linux/noble R-4.5 | lspartition_0.5.tar.gz |
2.3 MiB |
0.5 |
rolling source/ R- | lspartition_0.5.tar.gz |
2.6 MiB |
0.5 |
latest linux/jammy R-4.5 | lspartition_0.5.tar.gz |
2.3 MiB |
0.5 |
latest linux/noble R-4.5 | lspartition_0.5.tar.gz |
2.3 MiB |
0.5 |
latest source/ R- | lspartition_0.5.tar.gz |
2.6 MiB |
0.5 |
2026-04-26 source/ R- | lspartition_0.5.tar.gz |
2.6 MiB |
0.5 |
2026-04-23 source/ R- | lspartition_0.5.tar.gz |
2.6 MiB |
0.5 |
2026-04-09 windows/windows R-4.5 | lspartition_0.5.zip |
2.3 MiB |
0.4 |
2025-04-20 source/ R- | lspartition_0.4.tar.gz |
2.6 MiB |