Package: degross
Title: Density Estimation from GROuped Summary Statistics
Version: 0.9.0
Authors@R: 
        person(given = "Philippe",
           family = "Lambert",
           role = c("aut", "cre"),
           email = "p.lambert@uliege.be",
           comment = "Université de Liège / Université catholique de Louvain (Belgium)")
Description: Estimation of a density from grouped (tabulated) summary
        statistics evaluated in each of the big bins (or classes)
        partitioning the support of the variable. These statistics
        include class frequencies and central moments of order one up
        to four. The log-density is modelled using a linear combination
        of penalised B-splines. The multinomial log-likelihood
        involving the frequencies adds up to a roughness penalty based
        on the differences in the coefficients of neighbouring
        B-splines and the log of a root-n approximation of the sampling
        density of the observed vector of central moments in each
        class. The so-obtained penalized log-likelihood is maximized
        using the EM algorithm to get an estimate of the spline
        parameters and, consequently, of the variable density and
        related quantities such as quantiles, see Lambert, P. (2021)
        <arXiv:2107.03883> for details.
License: GPL-3
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.1.1
Imports: cubicBsplines, stats
Repository: https://plambertuliege.r-universe.dev
Date/Publication: 2023-03-26 09:44:28 UTC
RemoteUrl: https://github.com/plambertuliege/degross
RemoteRef: HEAD
RemoteSha: 4fb733597a7f56c12351b7276eb6a3333b93a9f0
NeedsCompilation: no
Packaged: 2026-07-19 08:33:46 UTC; root
Author: Philippe Lambert [aut, cre] (Université de Liège / Université
    catholique de Louvain (Belgium))
Maintainer: Philippe Lambert <p.lambert@uliege.be>