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: 2026-09-30 10:54:57 UTC; root
Author: Yun Cai [aut, cre], Hong Gu [aut], Tobias Kenney [aut]
Repository: https://cran.r-universe.dev
Date/Publication: 2022-05-30 05:40:02 UTC
RemoteUrl: https://github.com/cran/pmledecon
RemoteRef: HEAD
RemoteSha: f0f21626fd93f63a8120bd417d3972cf894d0ace