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.

Version: 1.1.1
Depends: R (≥ 3.0.2)
Imports: Rcpp (≥ 0.11.1), decon, flexmix, splines, locpol
LinkingTo: Rcpp, RcppArmadillo (≥ 0.4.300.0)
Published: 2017-10-31
Author: Haiming Zhou and Xianzheng Huang
Maintainer: Haiming Zhou <zhouh at niu.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Citation: lpme citation info
CRAN checks: lpme results


Reference manual: lpme.pdf
Package source: lpme_1.1.1.tar.gz
Windows binaries: r-devel: lpme_1.1.1.zip, r-release: lpme_1.1.1.zip, r-oldrel: lpme_1.1.1.zip
OS X El Capitan binaries: r-release: lpme_1.1.1.tgz
OS X Mavericks binaries: r-oldrel: lpme_1.1.1.tgz
Old sources: lpme archive


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