R Observatory: Metrics for mlrMBO version 1.1.6

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

This package has an overdue CRAN deadline (Oct 19) to fix its check problems; archival is imminent. See the check details

mlrMBO needs mlr, which CRAN will archive unless its check problems are fixed by Oct 26.

mlrMBO

1.1.6Package record

Bayesian Optimization and Model-Based Optimization of Expensive Black-Box Functions

3packages dependsuggested by 5

75Kdownloads / year

79.2%test coverage

13/13flavors OK

Overview

About

Maintained by Martin BinderCRAN page ↗GitHub ↗Issues ↗

Flexible and comprehensive R toolbox for model-based optimization ('MBO'), also known as Bayesian optimization. It implements the Efficient Global Optimization Algorithm and is designed for both single- and multi- objective optimization with mixed continuous, categorical and conditional parameters. The machine learning toolbox 'mlr' provide dozens of regression learners to model the performance of the target algorithm with respect to the parameter settings. It provides many different infill criteria to guide the search process. Additional features include multi-point batch proposal, parallel execution as well as visualization and sophisticated logging mechanisms, which is especially useful for teaching and understanding of algorithm behavior. 'mlrMBO' is implemented in a modular fashion, such that single components can be easily replaced or adapted by the user for specific use cases.

Changes in 1.1.6

Documentation fixes

From NEWS.md in the release

Install

R (CRAN)pak (dev)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("mlrMBO", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("mlr-org/mlrMBO")

Development version from mlr-org/mlrMBO. Installs pak first if it is not already available.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-mlrmbo

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-mlrMBO

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-mlrMBO

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

13OK

CRAN check page ↗

Slowest check: 8.9 min · r-oldrel-macos-x86_64

Status changes

OK13 OK2026-10-15
ERROR12 OK, 1 ERROR2026-09-13
OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.1.6

READMEYes · 327 wordsVignettesYes · 1 · dynamicNEWSYes · 100% structured · mentions 1.1.6Citation fileYes · software entry only

Help pages: 38
Examples that run: 67%2 run in a plain check · 1 never run
Exported functions with examples: 8%
Documented parameters: 97%
Return-value docs: 85%
Help pages citing references: 5%

Vignettes (1)

Quick introduction

How these are measured

Downloads

75K

CRAN downloads in the past year

Rank #1,544 · ~205/day · ~6.2K/mo

Releases R versions

Daily download trend is not available in this view yet.

4.5K30 days

15.4K90 days

75K1 year

Compare downloads with other packages →

Also on899 r2u9 autocran5.7K conda_forge157 c2d4u

How downloads are counted

Repository

mlr-org/mlrmbo ↗Organization: mlr-org

187Stars

48Forks

82Open issues

14Open PRs

2Releases

1,656Commits

23Commit identities

model-based-optimizationrr-packageoptimizationmlrhyperparameter-optimizationblack-box-optimizationbayesian-optimization

1,656 commits · Last activity 2026-03-01 · 0% stars, 30d

Responsiveness

How these are sampled

PRs merged (all time): 93%
Median days to close, 50 most recently updated closed issues: 7
Median days to close, 50 most recently updated closed PRs: 1

Stars over time

2025-04-12 · 1862026-08-24 · 187

How these are measured

PracticesBeta

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

Checks run against github.com/mlr-org/mlrmbo on 2026-10-11.

Continuous integration (1)

tic

Governance and community (3)

Contributing guide (inherited from mlr-org)

Funding links: GitHub Sponsors

The repository owner accepts GitHub Sponsors

Docs source (3)

README.Rmdpkgdown

GitHub Pages site last deployed 2022-10-09

Coverage (1)

Coverage reporting (Codecov)

Show all practicesHide 1 practice

Lint, format, editor (2)

EditorConfigRStudio project

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

Dependencies

Declared dependencies

29 external dependencies (excludes base and recommended)

Installing mlrMBO adds 31 packages (20 with compiled code, 38 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB.

Depends (3)

mlr ParamHelpers smoof

Imports (6)

backports BBmisc checkmate data.table lhs parallelMap

LinkingTo (0)

none

Suggests (22)

akima cmaesr covr DiceKriging earth emoa GGally ggplot2 gridExtra interp kernlab kknn knitr mconnetparty randomForest reshape2 rgenoud rmarkdownrparttestthat

Enhances (0)

none

Dependencies facing archival

CRAN will archive these unless their check problems are fixed by the date shown. This package needs each one to install.

mlrfix by Oct 26

Dependency license breakdown →

Reverse dependencies

3direct

1indirect

Depends 1 · Imports 2

Suggested by 5

Depends, Imports or LinkingTo, most downloaded first

tuneRanger varycoef FactorHet

Suggests, most downloaded first

mlr ChemoSpec2D binaryRL mlrintermbo multiRL

How these are counted

Code & Tests

People & History

People (7)

Martin Binder

Maintainer since 1.1.6 (2026) · added in 1.1.6

Author

Author

Author

Author

Author

Author

Previously maintained by Jakob Richter (1.0.0 to 1.1.5.1).

Releases (9)

Pick two releases to compare their code metrics.

R
R 4.6.0 released · 2026-04-24
1.1.6Latest
record
2026-03-01 · 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
1.1.5.1
record
2022-07-04 · diff ↗
R
R 4.2.0 released · 2022-04-22
R
R 4.1.0 released · 2021-05-18
1.1.5
record
2020-10-23 · diff ↗
R
R 4.0.0 released · 2020-04-24
1.1.4
record
2020-02-28 · diff ↗
1.1.3
record
2019-12-02 · diff ↗
R
R 3.6.0 released · 2019-04-26
1.1.2
record
2018-06-21 · diff ↗ ·
added 1 export
makeMBOInfillCritAdaCB
R
R 3.5.0 released · 2018-04-23
1.1.1
record
2018-01-03 · diff ↗ ·
added 4 exports
finalizeSMBO, initSMBO, proposePoints, updateSMBO

Show 4 earlier eventsHide 4 earlier events

1.1.0
record
2017-05-13 · diff ↗
R
R 3.4.0 released · 2017-04-21
1.0.0
record
2017-03-12
R
R 3.3.0 released · 2016-05-03

Package metadata

First published: 2017-03-12
Total releases: 9 / 9 yrs
License: BSD_2_clause + file LICENSE OSI
Download size: 676 KB

Appears in task views

Optimization and Mathematical Programming

Cite

Cite this package

Run in R for the authors' entry:

citation("mlrMBO")

The package provides a citation file, so citation() returns the authors' own entry.

Cite the R Observatory

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

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for mlrMBO version 1.1.6 [Data set]. HJJB, LLC. Data release v2026-10-19. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-19, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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