R Observatory: Metrics for rbmi version 1.7.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

rbmi

1.7.0Package record

Reference Based Multiple Imputation

2packages depend

6.1Kdownloads / year

86.6%test coverage

13/13flavors OK

Overview

About

Maintained by Lukas A. WidmerCRAN page ↗GitHub ↗Website ↗Issues ↗Declared funder: F. Hoffmann-La Roche AG

Implements standard and reference based multiple imputation methods for continuous longitudinal endpoints (Gower-Page et al. (2022) doi:10.21105/joss.04251). In particular, this package supports deterministic conditional mean imputation and jackknifing as described in Wolbers et al. (2022) doi:10.1002/pst.2234, Bayesian multiple imputation as described in Carpenter et al. (2013) doi:10.1080/10543406.2013.834911, and bootstrapped maximum likelihood imputation as described in von Hippel and Bartlett (2021) doi:10.1214/20-STS793.

Changes in 1.7.0

New Features

pool() gains a rubin_df_method argument. The default "barnard-rubin" uses the Barnard-Rubin small-sample degrees-of-freedom adjustment, while "rubin" uses the original approximation from Rubin (1987). (#587)
ancova() now supports the analysis of two or more treatment groups. For more than two groups the ref / alt naming scheme is extended with alt2, alt3, etc. based on the factor levels of vars$group; the two-group output is unchanged (trt, lsm_ref, lsm_alt) for backwards compatibility. set_vars() gained a group_contrasts argument allowing users to specify a bespoke set of treatment-group contrasts for ancova(). By default a contrast of each non-reference group versus the reference group is estimated. Custom contrasts must be named (the name becomes the output parameter name) and may be given as pairwise c(minuend, subtrahend) character vectors or as general named numeric weight vectors over the group levels (e.g. c(Placebo = -1, A = 0.5, B = 0.5) for a pooled comparison); contrasts are evaluated in a contrast-coding-agnostic way. The data.frame produced by as.data.frame() / pool() now includes explicit estimate_type, group, group_level_1, group_level_2, contrast_label and visit columns when the analysis was performed with ancova(). The existing parameter column is retained for backwards compatibility. (#520)

Show all changes in 1.7.0Hide the rest of the changes in 1.7.0

Bug Fixes

ancova() now rejects interactions involving the treatment group in vars$covariates, avoiding treatment contrasts that depend on the reference values of interacting covariates. (#595)

From NEWS.md in the release

Install

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

install.packages("rbmi", 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("openpharma/rbmi")

Development version from openpharma/rbmi. 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-rbmi

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-rbmi

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-rbmi

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: 7.4 min · r-release-macos-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK13 OK2026-07-25
NOTE10 OK, 3 NOTE2026-07-16
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.7.0

READMEYes · 218 wordsVignettesYes · 11 · dynamicNEWSYes · 67% structured · mentions 1.7.0Citation fileYes · cites a publicationWebsiteYes · pkgdown

Cites a JOSS paper

Help pages: 161 (32 internal)includes a package overview page
Examples that run: 36%10 run in a plain check · 18 never run
Exported functions with examples: 68%
Documented parameters: 96%
Return-value docs: 100%
Help pages citing references: 7%

Vignettes (11)

Show 1 moreHide 1 vignette

rbmi: Statistical Specifications

How these are measured

Downloads

6.1K

CRAN downloads in the past year

Rank #4,372 · ~17/day · ~511/mo

Releases R versions

Daily download trend is not available in this view yet.

71730 days

1.9K90 days

6.1K1 year

Compare downloads with other packages →

Also on281 r2u7 autocran58 c2d4u

How downloads are counted

Repository

openpharma/rbmi ↗Organization: openpharma

21Stars

12Forks

36Open issues

11Open PRs

19Releases

1,098Commits

16Commit identities

1,098 commits · Last activity 2026-10-15 · 0% stars, 30d · Discussions: 5 posts

Responsiveness

How these are sampled

PRs merged (all time): 94%
Median days to close, 50 most recently updated closed issues: 8
Median days to close, 50 most recently updated closed PRs: 2

Stars over time

2025-06-28 · 202026-07-07 · 21

How these are measured

PracticesBeta

13 development-tooling and community-health practices detected across 8 families in the upstream repository

Checks run against github.com/openpharma/rbmi on 2026-10-11.

Continuous integration (1)

GitHub Actions

Governance and community (2)

Contributing guideIssue templates

Docs source (2)

pkgdown

GitHub Pages site last deployed 2026-09-21

pkgdown site last built 2026-07-23, before release 1.7.0 (2026-10-15)

Coverage (1)

Coverage reporting (Codecov)

Show all practicesHide 4 practices

Reproducibility and dev environment (1)

data-raw/

CRAN release process (1)

cran-comments.md

Lint, format, editor (4)

lintrAirVS CodeRStudio project

Git structural (1)

.gitattributes

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

Dependencies

Declared dependencies

24 external dependencies (excludes base and recommended)

Installing rbmi adds 43 packages (23 with compiled code, 28 MB of source tarballs). Heaviest: stringi 11 MB, Rcpp 1.8 MB, RcppEigen 1.7 MB.

Depends (1)

R >= 3.4.0

Imports (11)

mmrm pkgloadMatrixtoolsmethodsR6 assertthat jinjar fs stringr lifecycle

LinkingTo (0)

none

Suggests (17)

dplyr tidyrnlmetestthat emmeans tibble mvtnorm knitr rmarkdown bookdown lubridate purrr ggplot2 rstan R.rsp withr spelling

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

2direct

1indirect

Imports 2

Depends, Imports or LinkingTo, most downloaded first

junco rbmiUtils

How these are counted

Code & Tests

Datasets

People & History

People (7)

Lukas A. Widmer

Author, Maintainer since 1.6.0 (2026) · added in 1.6.0

Craig Gower-Page

Author

Isaac Gravestock

Author · added in 1.3.1

Alessandro Noci

Author

Daniel Sabanes Bove

Author · added in 1.4.0

Marcel Wolbers

Author

F. Hoffmann-La Roche AG

Copyright holder, Funder · added in 1.3.0

Previously maintained by Craig Gower-Page (1.5.1 to 1.5.2) and Isaac Gravestock (1.4.1).

Listed in earlier versions (1)

Roche

no longer listed · 1.1.0 to 1.2.6

Releases (17)

Pick two releases to compare their code metrics.

1.7.0Latest
record
2026-10-15 · current release · diff ↗
1.6.1
record
2026-07-22 · diff ↗
R
R 4.6.0 released · 2026-04-24
unarchivedReturned to CRAN
2026-01-23
1.6.0
record
2026-01-23 · diff ↗
archivedRemoved from CRAN
2025-11-19
issues were not corrected in time Still does not clean up in ~/.cache
1.5.2
record
2025-10-28 · diff ↗
1.5.1
record
2025-10-14 · diff ↗ ·
added 4 exports
jackknife_se, mcse, mcse_combine_all_pars, mcse_jackknife
R
R 4.5.0 released · 2025-04-11
1.4.1
record
2025-03-03 · diff ↗
1.4.0
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2025-02-07 · diff ↗ ·
added 1 export
control_bayes
1.3.1
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2024-12-11 · diff ↗
1.3.0
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2024-10-16 · diff ↗ ·
added 1 export
make_rbmi_cluster
R
R 4.4.0 released · 2024-04-24
1.2.6
record
2023-11-24 · diff ↗
1.2.5
record
2023-09-21 · diff ↗

Show 11 earlier eventsHide 11 earlier events

R
R 4.3.0 released · 2023-04-21
unarchivedReturned to CRAN
2022-11-14
1.2.3
record
2022-11-14 · diff ↗
archivedRemoved from CRAN
2022-11-09
issues were not corrected in time
1.2.1
record
2022-10-25 · diff ↗
1.1.4
record
2022-05-18 · diff ↗
R
R 4.2.0 released · 2022-04-22
1.1.3
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2022-03-21 · diff ↗
1.1.1
record
2022-03-08 · diff ↗
1.1.0
record
2022-03-03
R
R 4.1.0 released · 2021-05-18

Package metadata

First published: 2022-03-03
Total releases: 17 / 4 yrs
License: Apache License (>= 2)
Minimum R: ≥ 3.4.0
Bundled data: 3.9 KB / 1 file
Download size: 438 KB

Appears in task views

Clinical Trial Design, Monitoring, Analysis and Reporting

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("rbmi")

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.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for rbmi version 1.7.0 [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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