Package: pmledecon
Title: Deconvolution Density Estimation using Penalized MLE
Version: 0.2.1
Authors@R: c(person(given = "Yun",family = "Cai",role = c("aut", "cre"),email = "Yun.Cai@dal.ca"),
  person(given = "Hong",family = "Gu",role = c("aut"),email = "hgu@dal.ca"),
  person(given = "Tobias",family = "Kenney",role = c("aut"),email = "tb432381@dal.ca"))
Description: Given a sample with additive measurement error, the package estimates the deconvolution density - that is, the density of the underlying distribution of the sample without measurement error. The method maximises the log-likelihood of the estimated density, plus a quadratic smoothness penalty. The distribution of the measurement error can be either a known family, or can be estimated from a "pure error" sample. For known error distributions, the package supports Normal, Laplace or Beta distributed error. For unknown error distribution, a pure error sample independent from the data is used.
Depends: R (>= 3.6.0)
Imports: stats,splitstackshape,rmutil
License: GPL (>= 3)
Encoding: UTF-8
RoxygenNote: 7.1.1
Maintainer: Yun Cai <Yun.Cai@dal.ca>
NeedsCompilation: no
Packaged: 2022-05-30 01:51:25 UTC; cyun
Author: Yun Cai [aut, cre],
  Hong Gu [aut],
  Tobias Kenney [aut]
Repository: CRAN
Date/Publication: 2022-05-30 06:40:02 UTC
Built: R 4.3.3; ; 2025-01-24 15:25:57 UTC; unix
