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 (2020a, <doi:10.48550/arXiv.1804.04916>) and Cattaneo, Farrell and Feng (2020b, <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.

Package details

AuthorMatias D. Cattaneo [aut], Max H. Farrell [aut], Yingjie Feng [aut, cre]
MaintainerYingjie Feng <fengyingjiepku@gmail.com>
LicenseGPL-2
Version0.5
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("lspartition")

Try the lspartition package in your browser

Any scripts or data that you put into this service are public.

lspartition documentation built on June 8, 2025, 10:01 a.m.