Package: ungroup Type: Package Title: Penalized Composite Link Model for Efficient Estimation of Smooth Distributions from Coarsely Binned Data Version: 1.4.5 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) . 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 Encoding: UTF-8 RoxygenNote: 7.3.0 Repository: https://mpascariu.r-universe.dev Date/Publication: 2026-05-03 08:35:20 UTC RemoteUrl: https://github.com/mpascariu/ungroup RemoteRef: HEAD RemoteSha: 2423c193b797d98e08ca61d3997bdeea02a9e63f NeedsCompilation: yes Packaged: 2026-07-02 07:39:55 UTC; root Author: Marius D. Pascariu [aut, cre] (ORCID: ), Silvia Rizzi [aut], Jonas Schoeley [aut] (ORCID: ), Maciej J. Danko [aut] (ORCID: ) Maintainer: Marius D. Pascariu