R Observatory: Metrics for MBESS version 5.0.1

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

MBESS

5.0.1Package record

The MBESS R Package

16packages dependsuggested by 7

122.4Kdownloads / year

–test coverage

13/13flavors OK

Overview

About

Maintained by Ken KelleyCRAN page ↗Website ↗

Implements methods that are useful in designing research studies and analyzing data, with particular emphasis on methods that are developed for or used within the behavioral, educational, and social sciences (broadly defined). That being said, many of the methods implemented within MBESS are applicable to a wide variety of disciplines. MBESS has a suite of functions for a variety of related topics, such as effect sizes, confidence intervals for effect sizes (including standardized effect sizes and noncentral effect sizes), sample size planning (from the accuracy in parameter estimation [AIPE], power analytic, equivalence, and minimum-risk point estimation perspectives), mediation analysis, various properties of distributions, and a variety of utility functions. MBESS (pronounced 'em-bes') was originally an acronym for 'Methods for the Behavioral, Educational, and Social Sciences,' but MBESS became more general and now contains methods applicable and used in a wide variety of fields and is an orphan acronym, in the sense that what was an acronym is now literally its name. MBESS has greatly benefited from the contributions of many people over the years, who are acknowledged in the package documentation.

Changes in 5.0.1

Maintenance release. Corrects the sampling-variance scaling in the

polynomial change model sample size planner ss.aipe.pcm().

ss.aipe.pcm(): the single-subject sampling variance of the change coefficient now includes the factor frequency^(2m) (where m is the order of the polynomial trend), matching Raudenbush and Liu (2001) and the companion power function ss.power.pcm(). Previously this factor was omitted, so for designs measured more than once per unit of time (frequency greater than 1) the planned sample size was too small and the resulting confidence interval was wider than requested. Results for frequency = 1 are unchanged, including the published Kelley and Rausch (2011) examples, which still return 278 and 316.
ss.aipe.pcm(): corrected the constant for a cubic trend from 1/1000800 to the correct 1/100800 (that is, (3!)^2 / (6! 7!)). The earlier value, a transcription error with an extra digit, inflated the implied error variance for trend = "cubic" by a factor of about 9.93 and so overstated the planned sample size. Linear and quadratic trends were unaffected.

Show all changes in 5.0.1Hide the rest of the changes in 5.0.1

ss.aipe.pcm(): in the assurance branch, the t critical value is now recomputed as the sample size iterates rather than reusing the value from the expected-width search. The numerical effect is small, but the previous code used a critical value carrying the wrong degrees of freedom.

From NEWS.md in the release

Install

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

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

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

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-mbess

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-MBESS

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-MBESS

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: 3.0 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-09-08
ERROR12 OK, 1 ERROR2026-09-07
OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK13 OK2026-06-09

Show 3 earlier changesHide 3 earlier changes

ERROR12 OK, 1 ERROR2026-06-08
OK12 OK2026-04-25
ERROR13 OK, 1 ERROR2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 5.0.1

READMEYes · 350 wordsVignettesNoNEWSYes · 100% structured · mentions 5.0.1Citation fileYes · cites a publicationWebsiteYes

Help pages: 96includes a package overview page
Examples that run: 53%39 run in a plain check · 17 never run · 18 hold no code
Exported functions with examples: 80%
Documented parameters: not tracked
Return-value docs: not tracked
Help pages citing references: 96%

How these are measured

Downloads

122.4K

CRAN downloads in the past year

Rank #1,286 · ~335/day · ~10.2K/mo

Releases R versions

Daily download trend is not available in this view yet.

8.2K30 days

23.3K90 days

122.4K1 year

Compare downloads with other packages →

Also on616 r2u2.6K conda_forge178 c2d4u

How downloads are counted

Dependencies

Declared dependencies

6 external dependencies (excludes base and recommended)

Installing MBESS adds 29 packages (18 with compiled code, 40 MB of source tarballs). Heaviest: BH 14 MB, lme4 4.1 MB, OpenMx 3.7 MB.

Depends (2)

R >= 3.5.0stats

Imports (10)

bootlavaanMASSmethodsmnormtnlmeOpenMxparallelsem semTools

LinkingTo (0)

none

Suggests (1)

gsl

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

16direct

2indirect

Depends 1 · Imports 15

Suggested by 7

Show all 23 packagesHide all 23 packages

Depends, Imports or LinkingTo, most downloaded first

apaTables fungible apa Surrogate tidycomm CoTiMA quest negligible pwr2ppl iGasso auRoc multiModTest sprtt cvcqv iMediate predictionInterval

Suggests, most downloaded first

miceadds yhat effectcheck ModStatR EpiQuestionR csemTools pplot

How these are counted

Code & Tests

Datasets

People & History

People (1)

Ken Kelley

Author, Maintainer since 4.0.0 (2016)

Previously maintained by Keke Lai (1.0.0 to 3.3.3) and Ken Kelley (0.0.1 to 0.0.9).

Listed in earlier versions (1)

Keke Lai

no longer listed · 2.11.0 to 3.3.3

Releases (56)

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5.0.1Latest
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2026-06-04 · current release · diff ↗
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Package metadata

First published: 2006-05-06
Total releases: 56 / 20 yrs
License: GPL-2 | GPL-3 OSI
Minimum R: ≥ 3.5.0
Bundled data: 16 KB / 5 files
Download size: 221 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("MBESS")

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 MBESS version 5.0.1 [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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