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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 (2018) <arXiv:1804.04916>. lsprobust() for nonparametric point estimation of regression functions and derivatives thereof, and for robust bias-corrected (pointwise and uniform) inference procedures. lspkselect() for data-driven procedure for selecting 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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Package details |
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| Author | Matias D. Cattaneo, Max H. Farrell, Yingjie Feng |
| Maintainer | Yingjie Feng <[email protected]> |
| License | GPL-2 |
| Version | 0.2 |
| Package repository | View on CRAN |
| Installation |
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