Tools for statistical analysis using partitioning-based least squares regression as described in Cattaneo, Farrell and Feng (2019a, <arXiv:1804.04916>) and Cattaneo, Farrell and Feng (2019b, <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.
Package details |
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Author | Matias D. Cattaneo, Max H. Farrell, Yingjie Feng |
Maintainer | Yingjie Feng <yingjief@princeton.edu> |
License | GPL-2 |
Version | 0.4 |
Package repository | View on CRAN |
Installation |
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