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lpme  

Nonparametric Estimation of Measurement Error Models
View on CRAN: Click here


Download and install lpme package within the R console
Install from CRAN:
install.packages("lpme")

Install from Github:
library("remotes")
install_github("cran/lpme")

Install by package version:
library("remotes")
install_version("lpme", "1.1.3")



Attach the package and use:
library("lpme")
Maintained by
Haiming Zhou
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2014-11-06
Latest Update: 2022-05-09
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) .
How to cite:
Haiming Zhou (2014). lpme: Nonparametric Estimation of Measurement Error Models. R package version 1.1.3, https://cran.r-project.org/web/packages/lpme
Previous versions and publish date:
1.0.0 (2014-11-06 01:03), 1.0.1 (2014-12-19 07:37), 1.1.0 (2017-03-24 07:25), 1.1.1 (2017-10-31 22:31), 1.1.2 (2021-07-13 21:30)
Other packages that cited lpme R package
View lpme citation profile
Other R packages that lpme depends, imports, suggests or enhances
Functions, R codes and Examples using the lpme R package
Some associated functions: densityreg . densityregbw . meanreg . meanregbwSIMEX . modereg . moderegbw . moderegbwSIMEX . 
Some associated R codes: densityreg.R . densityregbw.R . meanreg.R . meanregbwSIMEX.R . modereg.R . moderegbw.R . moderegbwSIMEX.R . wrappers.R .  Full lpme package functions and examples
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