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

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

## Documentation for package ‘lspartition’ version 0.5

- DESCRIPTION file.

## Help Pages

lspartition-package | Nonparametric Estimation and Inference using Partitioning-Based Least Squares Regression
lspartition | Nonparametric Estimation and Inference using Partitioning-Based Least Squares Regression
lspkselect | Tuning Parameter Selection Procedures for Partitioning-Based Regression Estimation and Inference
lsplincom | Linear Combination of Estimators for 'lspartition' Package
lsprobust | Partitioning-Based Least Squares Regression with Robust Inference.
lsprobust.plot | Graphic Presentation of Results for 'lspartition' Package
print.lspkselect | Tuning Parameter Selection Procedures for Partitioning-Based Regression Estimation and Inference
print.lsplincom | Linear Combination of Estimators for 'lspartition' Package
print.lsprobust | Partitioning-Based Least Squares Regression with Robust Inference.
summary.lspkselect | Tuning Parameter Selection Procedures for Partitioning-Based Regression Estimation and Inference
summary.lsplincom | Linear Combination of Estimators for 'lspartition' Package
summary.lsprobust | Partitioning-Based Least Squares Regression with Robust Inference.