lpme: Local Polynomial Estimators in Measurement Error Models

Provide local polynomial estimators for nonparametric mean regression and nonparametric modal regression in the presence/absence of measurement error. Bandwidth selection is also provided for each estimator.

Install the latest version of this package by entering the following in R:
install.packages("lpme")
AuthorHaiming Zhou <zhouh@niu.edu> and Xianzheng Huang <huang@stat.sc.edu>
Date of publication2017-03-24 06:25:37 UTC
MaintainerHaiming Zhou <zhouh@niu.edu>
LicenseGPL (>= 2)
Version1.1.0

View on CRAN

Files

inst
inst/CITATION
src
src/Makevars
src/lpme_modereg_fit_approx.cpp
src/lpme_meanreg_dfc.cpp
src/lpme_modereg_band2.cpp
src/registerDynamicSymbol.c
src/lpme_modereg_band1.cpp
src/lpme_common.cpp
src/lpme_modereg_fit.cpp
src/lpme_meanreg_hz.cpp
src/Makevars.win
src/lpme_densityreg_fit.cpp
src/lpme_common.h
NAMESPACE
R
R/meanreg_bwSIMEX.R R/modereg.R R/wrappers.R R/modereg_bwSIMEX.R R/meanreg.R R/modereg_bw.R
MD5
DESCRIPTION
man
man/modereg_bwSIMEX.Rd man/modereg_bw.Rd man/modereg.Rd man/meanreg.Rd man/meanreg_bwSIMEX.Rd

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