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GLBFP: General Linear Blend Frequency Polygon Density Estimation

Implements nonparametric density estimation with Averaged Shifted Histogram (ASH), Linear Blend Frequency Polygon (LBFP), and General Linear Blend Frequency Polygon (GLBFP) estimators. The package provides pointwise and grid-based estimation workflows, sparse-prefix grid-count computation, plotting helpers, and plug-in bandwidth selection. Methodological background follows Scott (1992) <doi:10.1002/9780470316849>, Terrell and Scott (1985) <doi:10.1080/01621459.1985.10477163>, and Carbon and Duchesne (2024) <doi:10.1007/s10463-023-00883-5>.

Version: 0.5.1
Depends: R (≥ 4.1.0)
Imports: ggplot2, plotly
Suggests: knitr, MASS, rmarkdown, testthat (≥ 3.0.0)
Published: 2026-06-16
DOI: 10.32614/CRAN.package.GLBFP (may not be active yet)
Author: Aurélien Nicosia [aut, cre]
Maintainer: Aurélien Nicosia <aurelien.nicosia at mat.ulaval.ca>
BugReports: https://github.com/AurelienNicosiaULaval/GLBFP/issues
License: GPL (≥ 3)
URL: https://aureliennicosiaulaval.github.io/GLBFP/, https://github.com/AurelienNicosiaULaval/GLBFP
NeedsCompilation: no
Citation: GLBFP citation info
Materials: README, NEWS
CRAN checks: GLBFP results

Documentation:

Reference manual: GLBFP.html , GLBFP.pdf
Vignettes: Getting started with GLBFP (source, R code)
Legacy estimation example (source, R code)
Choosing between ASH, LBFP and GLBFP (source, R code)
Sparse-prefix computation (source, R code)
Package overview and workflow map (source, R code)
Objects, summaries and plotting (source, R code)
Validation and comparison (source, R code)
Brief methodological background (source, R code)
Two-dimensional density estimation (source, R code)

Downloads:

Package source: GLBFP_0.5.1.tar.gz
Windows binaries: r-devel: GLBFP_0.5.1.zip, r-release: not available, r-oldrel: GLBFP_0.5.1.zip
macOS binaries: r-release (arm64): GLBFP_0.5.1.tgz, r-oldrel (arm64): GLBFP_0.5.1.tgz, r-release (x86_64): GLBFP_0.5.1.tgz, r-oldrel (x86_64): GLBFP_0.5.1.tgz

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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