Package: GLBFP 0.5.2.9000
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, fixed-grid leave-one-out self-support scores, plotting helpers, and plug-in bandwidth selection.
Authors:
GLBFP_0.5.2.9000.tar.gz
GLBFP_0.5.2.9000.zip(r-4.7)GLBFP_0.5.2.9000.zip(r-4.6)GLBFP_0.5.2.9000.zip(r-4.5)
GLBFP_0.5.2.9000.tgz(r-4.6-any)GLBFP_0.5.2.9000.tgz(r-4.5-any)
GLBFP_0.5.2.9000.tar.gz(r-4.7-any)GLBFP_0.5.2.9000.tar.gz(r-4.6-any)
GLBFP_0.5.2.9000.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
GLBFP/json (API)
NEWS
| # Install 'GLBFP' in R: |
| install.packages('GLBFP', repos = c('https://aureliennicosiaulaval.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/aureliennicosiaulaval/glbfp/issues
Pkgdown/docs site:https://aureliennicosiaulaval.github.io
- ashua - River Ashuapmushuan daily flow and level data
Last updated from:9e91c088b0. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 137 | ||
| source / vignettes | OK | 192 | ||
| linux-release-x86_64 | OK | 145 | ||
| macos-release-arm64 | OK | 79 | ||
| macos-oldrel-arm64 | OK | 92 | ||
| windows-devel | OK | 115 | ||
| windows-release | OK | 76 | ||
| windows-oldrel | OK | 93 | ||
| wasm-release | OK | 105 |
Exports:ashASHash_estimateASH_estimatecompute_bi_optimcompute_dicompute_Dicompute_G_starG_iglbfpGLBFPglbfp_estimateGLBFP_estimateK_milbfpLBFPlbfp_estimateLBFP_estimate
Dependencies:askpassbase64encbslibcachemclicpp11crosstalkcurldata.tabledigestdplyrevaluatefarverfastmapfontawesomefsgenericsggplot2gluegtablehighrhtmltoolshtmlwidgetshttrisobandjquerylibjsonliteknitrlabelinglaterlazyevallifecyclemagrittrmemoisemimeopensslotelpillarpkgconfigplotlypromisespurrrR6rappdirsRColorBrewerRcpprlangrmarkdownS7sassscalesstringistringrsystibbletidyrtidyselecttinytexutf8vctrsviridisLitewithrxfunyaml
Brief methodological background
Rendered fromglbfp-theory-brief.Rmdusingknitr::rmarkdownon Jun 17 2026.Last update: 2026-06-08
Started: 2026-05-03
Choosing between ASH, LBFP and GLBFP
Rendered fromGLBFP_estimator_choice.Rmdusingknitr::rmarkdownon Jun 17 2026.Last update: 2026-06-08
Started: 2026-06-07
Getting started with GLBFP
Rendered fromgetting-started.Rmdusingknitr::rmarkdownon Jun 17 2026.Last update: 2026-06-08
Started: 2026-05-03
Leave-one-out D_i diagnostics
Rendered fromGLBFP_leave_one_out_scores.Rmdusingknitr::rmarkdownon Jun 17 2026.Last update: 2026-06-08
Started: 2026-06-07
Legacy estimation example
Rendered fromGLBFP_estimation.Rmdusingknitr::rmarkdownon Jun 17 2026.Last update: 2026-06-08
Started: 2025-02-20
Objects, summaries and plotting
Rendered fromGLBFP_objects_and_s3.Rmdusingknitr::rmarkdownon Jun 17 2026.Last update: 2026-06-08
Started: 2026-06-07
Package overview and workflow map
Rendered fromGLBFP_introduction.Rmdusingknitr::rmarkdownon Jun 17 2026.Last update: 2026-06-08
Started: 2026-05-03
Sparse-prefix computation
Rendered fromGLBFP_fast_sparse_computation.Rmdusingknitr::rmarkdownon Jun 17 2026.Last update: 2026-06-08
Started: 2026-06-07
Two-dimensional density estimation
Rendered fromtwo-dimensional-density.Rmdusingknitr::rmarkdownon Jun 17 2026.Last update: 2026-06-08
Started: 2026-05-03
Validation and comparison
Rendered fromGLBFP_validation.Rmdusingknitr::rmarkdownon Jun 17 2026.Last update: 2026-06-08
Started: 2026-05-03
