CRAN/E | lspartition

lspartition

Nonparametric Estimation and Inference Procedures using Partitioning-Based Least Squares Regression

Installation

About

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.

Key Metrics

Version 0.4
R ≥ 3.1
Published 2019-08-08 1731 days ago
Needs compilation? no
License GPL-2
CRAN checks lspartition results

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Maintainer

Maintainer

Yingjie Feng

yingjief@princeton.edu

Authors

Matias D. Cattaneo
Max H. Farrell
Yingjie Feng

Material

Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

lspartition archive

Depends

R ≥ 3.1

Imports

ggplot2
pracma
mgcv
combinat
matrixStats
MASS
dplyr