degross: Density Estimation from GROuped Summary Statistics

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.

Getting started

Package details

AuthorPhilippe Lambert [aut, cre] (Université de Liège / Université catholique de Louvain (Belgium))
MaintainerPhilippe Lambert <>
Package repositoryView on CRAN
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degross documentation built on Aug. 4, 2021, 5:06 p.m.