R Observatory: Metrics for modelbased version 0.18.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

modelbased

0.18.0Package record

Estimation of Model-Based Predictions, Contrasts and Means

3packages dependsuggested by 10

287.7Kdownloads / year

–test coverage

13/13flavors OK

Overview

About

Maintained by Dominique MakowskiCRAN page ↗GitHub ↗Website ↗Issues ↗

Implements a general interface for model-based estimations for a wide variety of models, used in the computation of marginal means, contrast analysis and predictions. For a list of supported models, see 'insight::supported_models()'.

Changes in 0.17.0

Breaking Changes

The comparison argument in estimate_contrasts() for backend = "emmeans" now defaults to "revpairwise", to return consistent results regarding the sign of contrasts with the "marginaleffects" backend.

Changes

For contrasts of models where predictions vary by response category (e.g., categorical, ordinal/cumulative or multinomial models, as well as multivariate response models), estimate_contrasts() now returns separate Response1 and Response2 columns instead of merging the response category label into the Level1 and Level2 columns (#646).
The iterations argument can now also be used for Bayesian model in estimate_means(), estimate_slopes(), and estimate_contrasts(), which is then passed to the ndraws argument and controls how many samples are drawn from the posterior when calculating marginal means, effects or contrasts.

Show all changes in 0.17.0Hide the rest of the changes in 0.17.0

ci = NULL now suppresses calculation of standard errors and confidence intervals.
The data argument can be used as an alias for newdata in estimate_means(), estimate_slopes(), and estimate_contrasts(), and is passed to the related *marginaleffects* functions.
Improved default settings for plots using tinyplot():
facets now automatically remove redundant axes. If you prefer to keep them, you can simply enable them by setting frame = TRUE.
The x-axis now automatically adjusts its limits when categorical predictors are used. By setting xlim to c(0.5, n + 0.5), the geoms are moved closer together, resulting in a more compact appearance.
tinyplot() for *modelbased* objects now supports standard arguments following easystats conventions, allowing for more fine-grained plot customizations (e.g., text/line sizes, color palettes, and axis title sizes).
New options for printing (in particular, formatting CIs), see also documentation (?modelbased::"modelbased-options").
Improved documentation for estimate_means() and vignettes about technical details of marginalization.

Bug fixes

estimate_contrasts() with backend = "emmeans" now correctly parses factor levels that contain " - " in their names (e.g., "A - High", "B - Low"). emmeans wraps such levels in parentheses (e.g., "(A - Low) - (A - High)"), which is now handled properly (#649).
Fixed issue with estimate = "average" in estimate_slopes() when no by variable was specified and therefore no data grid created. This caused an issue with filtering the output.

From NEWS.md in the release

Install

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

install.packages("modelbased", 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("easystats/modelbased")

Development version from easystats/modelbased. 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-modelbased

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-modelbased

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-modelbased

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: 4.0 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK13 OK2026-07-23
ERROR12 OK, 1 ERROR2026-07-21
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.17.0

Release 0.18.0 has not been analysed yet.

READMEYes · 2,357 wordsVignettesYes · 1 · dynamicNEWSYes · 100% structured · mentions 0.17.0Citation fileYes · cites a publicationWebsiteYes · pkgdown

Cites a JOSS paper

Help pages: 24 (3 internal)includes a package overview page
Examples that run: 94%15 run in a plain check (13 of them under a condition) · 1 never run
Exported functions with examples: 93%
Documented parameters: 99%
Return-value docs: 79%
Help pages citing references: 29%

How these are measured

Downloads

287.7K

CRAN downloads in the past year

Rank #682 · ~788/day · ~24K/mo

Releases R versions

Daily download trend is not available in this view yet.

26.2K30 days

79.9K90 days

287.7K1 year

Compare downloads with other packages →

Also on3.4K r2u5 autocran4.8K conda_forge87 c2d4u

How downloads are counted

Repository

easystats/modelbased ↗Organization: easystats

263Stars

23Forks

16Open issues

4Open PRs

15Releases

1,874Commits

17Commit identities

contrastsmarginalmeansmarginal-effectspredictestimateeasystatsr

License file reads as GPL-3.0 · 1,874 commits · Last activity 2026-10-18 · 0% stars, 30d · Discussions: 8 posts

Responsiveness

How these are sampled

PRs merged (all time): 95%
Median days to close, 50 most recently updated closed issues: 3
Median days to close, 50 most recently updated closed PRs: 0

Stars over time

2025-10-09 · 2542026-09-16 · 263

How these are measured

PracticesBeta

15 development-tooling and community-health practices detected across 6 families in the upstream repository

Checks run against github.com/easystats/modelbased on 2026-10-11.

Continuous integration (1)

GitHub Actions

Governance and community (5)

Code of conductContributing guideFundingSupport guide

Funding links: GitHub Sponsors

The repository owner accepts GitHub Sponsors

Docs source (3)

README.Rmdpkgdown

GitHub Pages site last deployed 2026-10-08

pkgdown site last built 2026-10-08, before release 0.18.0 (2026-10-18)

Coverage (1)

Coverage reporting

Show all practicesHide 2 practices

CRAN release process (1)

cran-comments.md

Lint, format, editor (4)

lintrLint workflowAirRStudio project

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

AI coding toolsBeta

This repository shows signs of AI coding tools.

GitHub Copilotfirst seen 2025-10-05
Pull request: opened by its own account
Commits: 3 by its own account · at least 3 crediting it in the message
Gemini CLIfirst seen 2026-02-05
Seen in the repository: GEMINI.md
Named in .Rbuildignore: GEMINI.md

Counts are commits, not lines of code. Commits by a tool's accounts count once across all of its accounts. Commits crediting it are the largest count among its credit lines, a minimum.How this is detected·Detection ruleset v4 (updated 2026-09-27)

Dependencies

Declared dependencies

61 external dependencies (excludes base and recommended)

Installing modelbased adds 4 packages (0 with compiled code, 2.9 MB of source tarballs). Heaviest: insight 1.2 MB, parameters 701 KB, bayestestR 576 KB.

Depends (1)

R >= 4.0

Imports (8)

bayestestR datawizard insight (>= 1.5.4)parametersgraphicsstatstoolsutils

LinkingTo (0)

none

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

3direct

2indirect

Imports 3

Suggested by 10

Show all 13 packagesHide all 13 packages

Depends, Imports or LinkingTo, most downloaded first

see easystats AssumpSure

Suggests, most downloaded first

insight datawizard performance bayestestR parameters marginaleffects ggeffects report rempsyc cogmod

How these are counted

Code & Tests

Datasets

People & History

People (5)

Dominique Makowski

Author, Maintainer since 0.1.0 (2020)

Mattan S. Ben-Shachar

Author

Daniel Lüdecke

Author

Indrajeet Patil

Author · added in 0.6.0

Rémi Thériault

Author · added in 0.10.0

Releases (30)

Pick two releases to compare their code metrics.

0.18.0Latest
record
2026-10-18 · current release · diff ↗ ·
listed once in CRAN's queue
Seen in one reading of CRAN's incoming queue, at 2026-10-18 16:17 UTC, so it stayed less than the time between readings.
0.17.0
record
2026-08-28 · diff ↗
0.16.0
record
2026-06-30 · diff ↗
0.15.0
record
2026-05-10 · diff ↗
R
R 4.6.0 released · 2026-04-24
0.14.0
record
2026-02-17 · diff ↗ ·
added 1 export
collapse_by_group
0.13.1
record
2025-12-08 · diff ↗
0.13.0
record
2025-08-30 · diff ↗ ·
added 1 export
residualize_over_grid
0.12.0
record
2025-07-10 · diff ↗ ·
added 1 export
display
0.11.2
record
2025-05-31 · diff ↗
0.11.0
record
2025-05-02 · diff ↗ ·
added 1 export
pool_slopes
R
R 4.5.0 released · 2025-04-11
0.10.0
record
2025-03-10 · diff ↗ ·
removed 1 export
visualisation_matrix

added 2 exports
pool_contrasts, pool_predictions
0.9.0
record
2025-02-05 · diff ↗ ·
removed 5 exports
estimate_response, get_marginaleffects, model_emcontrasts, model_emmeans, model_emtrends

added 4 exports
get_marginalcontrasts, get_marginalmeans, get_marginaltrends, print_html
0.8.9
record
2024-10-26 · diff ↗
0.8.8
record
2024-06-11 · diff ↗

Show 24 earlier eventsHide 24 earlier events

R
R 4.4.0 released · 2024-04-24
0.8.7
record
2024-02-15 · diff ↗
R
R 4.3.0 released · 2023-04-21
0.8.6
record
2023-01-13 · diff ↗
0.8.5
record
2022-08-18 · diff ↗ ·
added 1 export
print_md
unarchivedReturned to CRAN
2022-05-30
archivedRemoved from CRAN
2022-05-30
check problems were not corrected in time
0.8.1
record
2022-05-30 · diff ↗
R
R 4.2.0 released · 2022-04-22
0.8.0
record
2022-03-31 · diff ↗ ·
removed 2 exports
data_matrix, model_marginaleffects

added 4 exports
get_emcontrasts, get_emmeans, get_emtrends, get_marginaleffects
0.7.2
record
2022-02-28 · diff ↗ ·
added 3 exports
model_marginaleffects, standardize, unstandardize
0.7.1
record
2022-01-13 · diff ↗ ·
added 3 exports
data_matrix, model_emcontrasts, model_emtrends
0.7.0
record
2021-06-06 · diff ↗ ·
removed 2 exports
as.numeric_ifnumeric, data_restoretype

added 6 exports
describe_nonlinear, estimate_expectation, estimate_grouplevel, model_emmeans, reshape_grouplevel, visualisation_recipe
R
R 4.1.0 released · 2021-05-18
0.6.0
record
2021-04-12 · diff ↗ ·
removed 1 export
reshape_draws

added 3 exports
data_restoretype, estimate_prediction, estimate_relation
0.5.1
record
2021-01-27 · diff ↗
0.5.0
record
2021-01-15 · diff ↗
0.4.0
record
2020-12-06 · diff ↗
0.3.0
record
2020-09-27 · diff ↗
R
R 4.0.0 released · 2020-04-24
0.1.2
record
2020-03-12 · diff ↗
0.1.1
record
2020-01-27 · diff ↗
0.1.0
record
2020-01-12
R
R 3.6.0 released · 2019-04-26

Across CRAN, the median accepted release of the past year spent 19 hours in the queue, 90% under 11 days.How queue time is measured

Package metadata

First published: 2020-01-12
Total releases: 30 / 6 yrs
License: GPL-3 OSI
Minimum R: ≥ 4.0
Bundled data: 17 KB / 4 files
Download size: 624 KB

Appears in task views

Causal Inference

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("modelbased")

Format

Makowski, D., Ben-Shachar, M. S., Lüdecke, D., Patil, I., & Thériault, R. (2026). modelbased: Estimation of Model-Based Predictions, Contrasts and Means (Version 0.18.0) [Computer software]. https://doi.org/10.32614/CRAN.package.modelbased

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

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 modelbased version 0.18.0 [Data set]. HJJB, LLC. Data release v2026-10-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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