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degross

0.9.0Package record

Density Estimation from GROuped Summary Statistics

0packages depend
2.7Kdownloads / year
–test coverage
0/13flavors OK

Overview

About

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.

Install

Health

CRAN checks
13NOTE
Check messages
NOTERd filesr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-windows-x86_64, r-oldrel-macos-arm64, r-oldrel-macos-x86_64, r-oldrel-windows-x86_64, r-patched-linux-x86_64, r-release-linux-x86_64, r-release-macos-arm64, r-release-macos-x86_64, r-release-windows-x86_64
checkRd: (-1) degross.object.Rd:9: Lost braces in \itemize; \value handles \item{}{} directly
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checkRd: (-1) degross_lpostBasic.Rd:53: Lost braces in \itemize; \value handles \item{}{} directly
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checkRd: (-1) simDegrossData.Rd:21: Lost braces in \itemize; \value handles \item{}{} directly
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checkRd: (-1) simDegrossData.Rd:24: Lost braces in \itemize; \value handles \item{}{} directly
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checkRd: (-1) simDegrossData.Rd:26: Lost braces in \itemize; \value handles \item{}{} directly
checkRd: (-1) simDegrossData.Rd:27: Lost braces in \itemize; \value handles \item{}{} directly
NOTECRAN incoming feasibilityr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Maintainer: ‘Philippe Lambert <p.lambert@uliege.be>’

The Description field contains
  (2021) <arXiv:2107.03883> for details.
Please refer to arXiv e-prints via their arXiv DOI <doi:10.48550/arXiv.YYMM.NNNNN>.

CRAN check page ↗

Slowest check: 59 s · r-devel-windows-x86_64
Status changes
  • NOTE13 NOTENow
  • NOTE14 NOTE2026-03-10
Advisories

none known

Documentation

In release 0.9.0
READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
14
Examples that run
100%12 run in a plain check
Exported functions with examples
100%
Documented parameters
97%
Return-value docs
100%
Help pages citing references
100%

Downloads

2.7K
CRAN downloads in the past year
Rank #19,317 · ~7/day · ~222/mo
Daily download trend is not available in this view yet.
23330 days
68690 days
2.7K1 year
Compare downloads with other packages →
Also on74 r2u7 autocran

Dependencies

Declared dependencies
1 external dependency (excludes base and recommended)

Installing degross adds 1 package (1 with compiled code, 5.4 KB of source tarballs). Heaviest: cubicBsplines 5.4 KB.

Depends (0)
none
Imports (2)
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (1)
Author, Maintainer since 0.9.0 (2021)
Université de Liège / Université catholique de Louvain (Belgium)
Releases (1)
  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • 0.9.0Latest
    2021-08-04 · current release
  • R
    R 4.1.0 released · 2021-05-18

Package metadata

First published
2021-08-04
Total releases
1 / 5 yrs
License
GPL-3 OSI
Download size
21 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("degross")
Lambert, P. (2021). degross: Density Estimation from GROuped Summary Statistics (Version 0.9.0) [Computer software]. https://doi.org/10.32614/CRAN.package.degross

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for degross version 0.9.0 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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