Learn R Programming

lpme (version 1.1.3)

Nonparametric Estimation of Measurement Error Models

Description

Provide nonparametric methods for mean regression model, modal regression and conditional density estimation in the presence/absence of measurement error. Bandwidth selection is also provided for each method. See Huang and Zhou (2017) , Zhou and Huang (2016) , Huang and Zhou (2020) , and Zhou and Huang (2019) .

Copy Link

Version

Install

install.packages('lpme')

Monthly Downloads

85

Version

1.1.3

License

GPL (>= 2)

Maintainer

Haiming Zhou

Last Published

May 9th, 2022

Functions in lpme (1.1.3)

densityregbw

Bandwidth Selector for Conditional Density Estimation with Covariate Measurement Error
modereg

Nonparametric Estimators for Nonparametric Mode Regression
meanreg

Local Polynomial Estimators for Nonparametric Mean Regression
moderegbw

Cross-Validation Bandwidth Selector for Nonparametric Mode Regression
moderegbwSIMEX

Cross-Validation Bandwidth Selector Using SIMEX for Nonparametric Mode Regression
densityreg

Conditional Density Estimation with Covariate Measurement Error
meanregbwSIMEX

Cross-Validation Bandwidth Selector Using SIMEX for Nonparametric Mean Regression