lpme: Nonparametric Estimation of Measurement Error Models

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) <doi:10.1080/10485252.2017.1303060>, Zhou and Huang (2016) <doi:10.1214/16-EJS1210>, Huang and Zhou (2020) <doi:10.1214/20-EJS1688>, and Zhou and Huang (2019) <doi:10.1080/03610918.2017.1402044>.

Getting started

Package details

AuthorHaiming Zhou [aut, cre, cph], Xianzheng Huang [aut]
MaintainerHaiming Zhou <haiming2019@gmail.com>
LicenseGPL (>= 2)
Version1.1.3
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("lpme")

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lpme documentation built on May 10, 2022, 1:05 a.m.