Nonparametric Estimation and Inference Procedures using Partitioning-Based Least Squares Regression
Nonparametric Estimation and Inference using Partitioning-Based Least ...
Tuning Parameter Selection Procedures for Partitioning-Based Regressio...
Linear Combination of Estimators for lspartition Package
Graphic Presentation of Results for lspartition Package
Partitioning-Based Least Squares Regression with Robust Inference.
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.