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>.
Version: | 1.1.2 |
Depends: | R (≥ 3.0.2) |
Imports: | Rcpp (≥ 0.11.1), decon, flexmix, splines, locpol |
LinkingTo: | Rcpp, RcppArmadillo (≥ 0.4.300.0) |
Published: | 2021-07-13 |
Author: | Haiming Zhou [aut, cre, cph], Xianzheng Huang [aut] |
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_1.1.2.tar.gz |
Windows binaries: | r-devel: lpme_1.1.2.zip, r-release: lpme_1.1.2.zip, r-oldrel: lpme_1.1.2.zip |
macOS binaries: | r-release (arm64): lpme_1.1.2.tgz, r-oldrel (arm64): lpme_1.1.2.tgz, r-release (x86_64): lpme_1.1.2.tgz, r-oldrel (x86_64): lpme_1.1.2.tgz |
Old sources: | lpme archive |
Please use the canonical form https://CRAN.R-project.org/package=lpme to link to this page.