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DESCRIPTION
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DESCRIPTION
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Package: ungroup
Type: Package
Title: Penalized Composite Link Model for Efficient Estimation of
Smooth Distributions from Coarsely Binned Data
Version: 1.4.4
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
Encoding: UTF-8
RoxygenNote: 7.3.0