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 (2019a, doi:10.48550/arXiv.1804.04916) and Cattaneo, Farrell and Feng (2019b, 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.
- Version0.4
- R versionunknown
- LicenseGPL-2
- Needs compilation?No
- Last release08/08/2019
Team
Yingjie Feng
Matias D. Cattaneo
Max H. Farrell
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- Imports7 packages