Package: lpme
Type: Package
Title: Nonparametric Estimation of Measurement Error Models
Version: 1.1.3
Date: 2022-05-09
Authors@R: c(person("Haiming", "Zhou", role = c("aut", "cre","cph"),
                    email = "haiming2019@gmail.com"),
             person("Xianzheng", "Huang", role = "aut") )
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) <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>.
License: GPL (>= 2)
Depends: R (>= 3.0.2)
Imports: Rcpp (>= 0.11.1), decon, flexmix, splines, locpol
LinkingTo: Rcpp, RcppArmadillo (>= 0.4.300.0)
NeedsCompilation: yes
Packaged: 2022-05-09 18:07:56 UTC; Haiming
Author: Haiming Zhou [aut, cre, cph],
  Xianzheng Huang [aut]
Maintainer: Haiming Zhou <haiming2019@gmail.com>
Repository: CRAN
Date/Publication: 2022-05-09 22:00:12 UTC
Built: R 4.1.2; x86_64-apple-darwin17.0; 2022-05-10 10:29:30 UTC; unix
Archs: lpme.so.dSYM
