lspartition
0.5Nonparametric Estimation and Inference Procedures using Partitioning-Based Least Squares Regression
Overview
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.
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- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
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People & History
5 releases. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- 0.5Latest
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- 0.42019-08-09 · diff ↗
- 0.32019-06-04 · diff ↗
- RR 3.6.0 released · 2019-04-26
- 0.22018-12-03 · diff ↗
- RR 3.5.0 released · 2018-04-23
- 0.12018-04-19
- RR 3.4.0 released · 2017-04-21
Package metadata
- First published
- 2018-04-19
- Total releases
- 5 / 8 yrs
- License
- GPL-2 OSI
- Download size
- 2.7 MB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet