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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: | 1.1.3 |
| Depends: | R (≥ 3.0.2) |
| Imports: | Rcpp (≥ 0.11.1), decon, flexmix, splines, locpol |
| LinkingTo: | Rcpp, RcppArmadillo (≥ 0.4.300.0) |
| Published: | 2022-05-09 |
| Author: | Haiming Zhou [aut, cre, cph], Xianzheng Huang [aut] |
| Maintainer: | Haiming Zhou <haiming2019 at gmail.com> |
| 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_1.1.3.tar.gz |
| Windows binaries: | r-devel: lpme_1.1.3.zip, r-release: lpme_1.1.3.zip, r-oldrel: lpme_1.1.3.zip |
| macOS binaries: | r-release (arm64): lpme_1.1.3.tgz, r-oldrel (arm64): lpme_1.1.3.tgz, r-release (x86_64): lpme_1.1.3.tgz, r-oldrel (x86_64): lpme_1.1.3.tgz |
| Old sources: | lpme archive |
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