Package: ungroup
Type: Package
Title: Penalized Composite Link Model for Efficient Estimation of
        Smooth Distributions from Coarsely Binned Data
Version: 1.4.2
Authors@R: c(
  person("Marius D.", "Pascariu", role = c("aut", "cre"), email = "rpascariu@outlook.com", comment = c(ORCID = "0000-0002-2568-6489")),
  person("Silvia", "Rizzi", role = "aut", email = "srizzi@health.sdu.dk"),
  person("Jonas", "Schoeley", role = "aut", comment = c(ORCID = "0000-0002-3340-8518")),
  person("Maciej J.", "Danko", role = "aut", email = "Danko@demogr.mpg.de", comment = c(ORCID = "0000-0002-7924-9022"))
  )
Description: Versatile method for ungrouping histograms (binned count data) 
 assuming that counts are Poisson distributed and that the underlying sequence 
 on a fine grid to be estimated is smooth. The method is based on the composite 
 link model and estimation is achieved by maximizing a penalized likelihood. 
 Smooth detailed sequences of counts and rates are so estimated from the binned 
 counts. Ungrouping binned data can be desirable for many reasons: Bins can be 
 too coarse to allow for accurate analysis; comparisons can be hindered when 
 different grouping approaches are used in different histograms; and the last 
 interval is often wide and open-ended and, thus, covers a lot of information 
 in the tail area. Age-at-death distributions grouped in age classes and 
 abridged life tables are examples of binned data. Because of modest assumptions, 
 the approach is suitable for many demographic and epidemiological applications. 
 For a detailed description of the method and applications see 
 Rizzi et al. (2015) <doi:10.1093/aje/kwv020>.
License: MIT + file LICENSE
LazyData: TRUE
Depends: R (>= 3.4.0)
Imports: pbapply (>= 1.3), Rcpp (>= 0.12.0), Rdpack (>= 0.8), Matrix
LinkingTo: Rcpp, RcppEigen
Suggests: MortalityLaws (>= 1.5.0), knitr (>= 1.20), rmarkdown (>=
        1.10), testthat (>= 2.0.0)
RdMacros: Rdpack
URL: https://github.com/mpascariu/ungroup
BugReports: https://github.com/mpascariu/ungroup/issues
VignetteBuilder: knitr
RoxygenNote: 7.1.1
NeedsCompilation: yes
Packaged: 2021-06-28 15:54:57 UTC; mpascariu
Author: Marius D. Pascariu [aut, cre] (<https://orcid.org/0000-0002-2568-6489>),
  Silvia Rizzi [aut],
  Jonas Schoeley [aut] (<https://orcid.org/0000-0002-3340-8518>),
  Maciej J. Danko [aut] (<https://orcid.org/0000-0002-7924-9022>)
Maintainer: Marius D. Pascariu <rpascariu@outlook.com>
Repository: CRAN
Date/Publication: 2021-06-28 16:10:02 UTC
Built: R 4.0.5; x86_64-w64-mingw32; 2022-04-21 07:47:55 UTC; windows
Archs: i386, x64
