Skip to content

FDboost

1.1-4Package record

Boosting Functional Regression Models

0packages dependsuggested by 4
42.4Kdownloads / year
35.1%test coverage
13/13flavors OK

Overview

About

Regression models for functional data, i.e., scalar-on-function, function-on-scalar and function-on-function regression models, are fitted by a component-wise gradient boosting algorithm. For a manual on how to use 'FDboost', see Brockhaus, Ruegamer, Greven (2017) doi:10.18637/jss.v094.i10.

Changes in 1.1-4

Bug fixes

  • Suppressed deprecation warnings from refund::pffrSim() in examples to keep checks clean with recent refund versions.
  • Stabilized tests/general_tests.R by forcing serial evaluation (mc.cores = 1) to avoid parallel applyFolds() crashes on some check platforms.

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 5.9 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-07-24
  • ERROR12 OK, 1 ERROR2026-07-23
  • OK13 OK2026-06-09
Show 4 earlier changesHide 4 earlier changes
  • NOTE12 OK, 1 NOTE2026-06-08
  • OK14 OK2026-03-28
  • WARNING10 OK, 4 WARNING2026-03-25
  • ERROR13 OK, 1 ERROR2026-03-10
Advisories

none known

Documentation

In release 1.1-4
README· In the repository, left out of the releaseVignettesYes · 4 · dynamicNEWSYes · 100% structured · mentions 1.1-4Citation fileYes · cites a publication
Cites a JSS article
Help pages
46includes a package overview page
Examples that run
92%22 run in a plain check · 2 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples
67%
Documented parameters
97%
Return-value docs
100%
Help pages citing references
28%

Downloads

42.4K
CRAN downloads in the past year
Rank #2,451 · ~116/day · ~3.5K/mo
Daily download trend is not available in this view yet.
2.2K30 days
6.6K90 days
42.4K1 year
Compare downloads with other packages →
Also on191 r2u2 autocran1.7K conda_forge186 c2d4u

Repository

21Stars
7Forks
4Open issues
0Open PRs
0Releases
335Commits
10Commit identities
cranboosting-algorithmsboostingfunction-on-function-regressionscalar-on-function-regressionfunction-on-scalar-regressionmachine-learningvariable-selection
335 commits · Last activity 2026-04-12 · 0% stars, 30d
Responsiveness
How these are sampled
PRs merged (all time)
100%
Median days to close, 50 most recently updated closed issues
12
Median days to close, 50 most recently updated closed PRs
1

Stars over time

2025-06-25 · 202026-07-07 · 21
PracticesBeta

5 development-tooling and community-health practices detected across 4 families in the upstream repository

Checks run against github.com/boost-r/fdboost on 2026-10-18.

Continuous integration (2)
GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

Docs source (1)
pkgdown
CRAN release process (1)
cran-comments.md
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies
12 external dependencies (excludes base and recommended)

Installing FDboost adds 14 packages (9 with compiled code, 12 MB of source tarballs). Heaviest: partykit 2.1 MB, mboost 2.0 MB, gamboostLSS 1.5 MB.

Depends (2)
R >= 3.5.0mboost
Imports (11)
gamboostLSSgraphicsgrDevicesMASSMatrixmethodsmgcvstabsstatsutilszoo
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect
Suggested by 4
Suggests, most downloaded first

Datasets

People & History

People (5)
Author, Maintainer since 1.0-0 (2020) · added in 0.1-0
Author · added in 0.3-3
Contributor · added in 0.1-0

Previously maintained by Sarah Brockhaus (0.0-5 to 0.3-3).

Releases (14)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • 1.1-4Latest
    record
    2026-03-24 · current release · diff ↗
  • 1.1-3
    record
    2025-08-23 · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • 1.1-2
    record
    2023-08-12 · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • unarchivedReturned to CRAN
    2022-09-27
  • 1.1-1
    record
    2022-09-27 · diff ↗
  • archivedRemoved from CRAN
    2022-09-04
    issues were not corrected in time
  • unarchivedReturned to CRAN
    2022-07-13
  • 1.1-0
    record
    2022-07-13 · diff ↗ ·
    added 2 exports
    clr, factorize
  • R
    R 4.2.0 released · 2022-04-22
  • archivedRemoved from CRAN
    2022-03-20
    requires archived package 'gamboostLSS'
  • R
    R 4.1.0 released · 2021-05-18
  • unarchivedReturned to CRAN
    2020-09-08
Show 19 earlier eventsHide 19 earlier events
  • 1.0-0
    record
    2020-09-08 · diff ↗
  • archivedRemoved from CRAN
    2020-08-12
    problems were not corrected in time Use of LINPACK in un-exercised code
  • unarchivedReturned to CRAN
    2020-06-21
  • 0.3-3
    record
    2020-06-21 · diff ↗
  • archivedRemoved from CRAN
    2020-05-29
    check problems were not corrected in time
  • R
    R 4.0.0 released · 2020-04-24
  • R
    R 3.6.0 released · 2019-04-26
  • 0.3-2
    record
    2018-08-04 · diff ↗
  • 0.3-1
    record
    2018-05-10 · diff ↗
  • R
    R 3.5.0 released · 2018-04-23
  • 0.3-0
    record
    2017-05-31 · diff ↗ ·
    added 2 exports
    bootstrapCI, subset_hmatrix
  • R
    R 3.4.0 released · 2017-04-21
  • 0.2-0
    record
    2016-06-20 · diff ↗ ·
    added 5 exports
    %A%, %A0%, %Xa0%, applyFolds, reweightData
  • R
    R 3.3.0 released · 2016-05-03
  • 0.1-0
    record
    2016-03-14 · diff ↗ ·
    added 15 exports
    %Xc%, FDboostLSS, bfpc, bhistx, getArgvals, getArgvalsLab, getId, getIdLab, getTime, getTimeLab, getX, getXLab, hmatrix, is.hmatrix, wide2long
  • R
    R 3.2.0 released · 2015-04-16
  • 0.0-8
    record
    2015-02-16 · diff ↗
  • 0.0-5
    record
    2014-04-22
  • R
    R 3.1.0 released · 2014-04-10

Package metadata

First published
2014-04-22
Total releases
14 / 12 yrs
License
GPL-2 OSI
Minimum R
≥ 3.5.0
Bundled data
1.3 MB / 5 files
Download size
2.9 MB
Appears in task views

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("FDboost")

The package provides a citation file that builds its entry when R runs it. Run citation() to see it.

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 FDboost version 1.1-4 [Data set]. HJJB, LLC. Data release v2026-10-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

Report a problem with this page →

Privacy choices

These apply to this browser and are stored on this device only. Nothing about your choice is sent to us.

Read the privacy policy