lspartition (0.4)

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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, ) and Cattaneo, Farrell and Feng (2019b, ): 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.

Maintainer: Yingjie Feng
Author(s): Matias D. Cattaneo, Max H. Farrell, Yingjie Feng

License: GPL-2

Uses: combinat, dplyr, ggplot2, MASS, matrixStats, mgcv, pracma

Released 17 days ago.

3 previous versions



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