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blockForest

0.2.7Package record

Block Forests: Random Forests for Blocks of Clinical and Omics Covariate Data

0packages depend
7.9Kdownloads / year
84.2%test coverage
13/13flavors OK

Overview

About

A random forest variant 'block forest' ('BlockForest') tailored to the prediction of binary, survival and continuous outcomes using block-structured covariate data, for example, clinical covariates plus measurements of a certain omics data type or multi-omics data, that is, data for which measurements of different types of omics data and/or clinical data for each patient exist. Examples of different omics data types include gene expression measurements, mutation data and copy number variation measurements. Block forest are presented in Hornung & Wright (2019). The package includes four other random forest variants for multi-omics data: 'RandomBlock', 'BlockVarSel', 'VarProb', and 'SplitWeights'. These were also considered in Hornung & Wright (2019), but performed worse than block forest in their comparison study based on 20 real multi-omics data sets. Therefore, we recommend to use block forest ('BlockForest') in applications. The other random forest variants can, however, be consulted for academic purposes, for example, in the context of further methodological developments. Reference: Hornung, R. & Wright, M. N. (2019) Block Forests: random forests for blocks of clinical and omics covariate data. BMC Bioinformatics 20:358. doi:10.1186/s12859-019-2942-y.

Install

Health

CRAN checks
13OK
Slowest check: 5.5 min · r-devel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK12 OK2026-04-25
  • NOTE12 OK, 2 NOTE2026-04-22
  • ERROR11 OK, 2 NOTE, 1 ERROR2026-04-18
Show 1 earlier changeHide 1 earlier change
  • NOTE12 OK, 2 NOTE2026-03-10
Advisories

none known

Documentation

In release 0.2.7
README· In the repository, left out of the releaseVignettesNoNEWSNoCitation fileNoWebsiteYes · pkgdown
Help pages
8
Examples that run
100%4 run in a plain check
Exported functions with examples
60%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
38%

Downloads

7.9K
CRAN downloads in the past year
Rank #6,505 · ~22/day · ~660/mo
Daily download trend is not available in this view yet.
47230 days
1.3K90 days
7.9K1 year
Compare downloads with other packages →
Also on375 r2u21 autocran

Repository

9Stars
4Forks
0Open issues
1Open PRs
0Releases
74Commits
3Commit identities
74 commits · Last activity 2026-01-14 · 0% stars, 30d
Responsiveness
How these are sampled
PRs merged (all time)
100%
Median days to close, 50 most recently updated closed issues
1,057
Median days to close, 50 most recently updated closed PRs
0

Stars over time

2023-05-30 · 72026-09-10 · 9
PracticesBeta

5 development-tooling and community-health practices detected across 2 families in the upstream repository

Checks run against github.com/bips-hb/blockforest 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 (3)
pkgdown

GitHub Pages site last deployed 2026-01-14 · The repository has a site deploy workflow

pkgdown site last built 2026-01-14

How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies
4 external dependencies (excludes base and recommended)

Installing blockForest adds 2 packages (2 with compiled code, 3.5 MB of source tarballs). Heaviest: Rcpp 1.8 MB, RcppEigen 1.7 MB.

Depends (1)
R >= 3.1
Imports (4)
RcppMatrixmethodssurvival
LinkingTo (2)
Suggests (1)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (2)
Author, Maintainer since 0.1.7 (2018)
Releases (7)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • 0.2.7Latest
    record
    2026-01-14 · current release · diff ↗
  • 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
  • 0.2.6
    record
    2023-03-31 · diff ↗
  • 0.2.5
    record
    2022-10-20 · diff ↗
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • R
    R 4.0.0 released · 2020-04-24
  • 0.2.4
    record
    2019-12-06 · diff ↗
  • 0.2.3
    record
    2019-07-03 · diff ↗
  • R
    R 3.6.0 released · 2019-04-26
  • 0.2.0
    record
    2019-04-10 · diff ↗
  • 0.1.7
    record
    2018-12-30
  • R
    R 3.5.0 released · 2018-04-23

Package metadata

First published
2018-12-30
Total releases
7 / 8 yrs
License
GPL-3 OSI
Minimum R
≥ 3.1
Download size
134 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("blockForest")
Wright, M. N., & Hornung, R. (2026). blockForest: Block Forests: Random Forests for Blocks of Clinical and Omics Covariate Data (Version 0.2.7) [Computer software]. https://doi.org/10.32614/CRAN.package.blockForest

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 blockForest version 0.2.7 [Data set]. HJJB, LLC. Data release v2026-10-21. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-21, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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