R Observatory: Metrics for autoFC version 1.0.0.1100

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

autoFC

1.0.0.1100

Automatic Toolkit for Construction, Optimization, Scoring and Simulation of Forced-Choice Tests

0packages depend

4.1Kdownloads / year

–test coverage

13/13checks pass

Overview

About

Maintained by Mengtong LiFirst published 2021-06-078 releasesCRAN page ↗

Forced-choice (FC) response has gained increasing popularity and interest for its resistance to faking when well-designed (Cao & Drasgow, 2019 doi:10.1037/apl0000414). To established well-designed FC scales, typically each item within a block should measure different trait and have similar level of social desirability (Zhang et al., 2020 doi:10.1177/1094428119836486). Recent study also suggests the importance of high inter-item agreement of social desirability between items within a block (Pavlov et al., 2021 doi:10.31234/osf.io/hmnrc). In addition to this, FC developers may also need to maximize factor loading differences (Brown & Maydeu-Olivares, 2011 doi:10.1177/0013164410375112) or minimize item location differences (Cao & Drasgow, 2019 doi:10.1037/apl0000414) depending on scoring models. Decision of which items should be assigned to the same block, also called as item pairing, is thus critical to the quality of an FC test. Because such pairing process often requires researchers to meet multiple objectives, manual pairing becomes impractical or even not feasible once the number of latent traits and/or number of items per elevates. To address these problems, autoFC is developed as a automatic and efficient tool for facilitating the automatic construction of FC tests (Li et al., 2022 doi:10.1177/01466216211051726), essentially exempting users from the burden of manual item pairing. Given characteristics of each item (and item responses), FC measures can be constructed either automatically based on user-defined pairing criteria and weights, or based on exact specifications of each block (i.e., blueprint; see Li et al., 2025 doi:10.1177/10944281241229784). Users can also generate simulated responses based on the Thurstonian Item Response Theory model (Brown & Maydeu-Olivares, 2011 doi:10.1177/0013164410375112) and predict trait scores of simulated/actual respondents based on an estimated model.

Install

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

install.packages("autoFC", 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-autofc

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled.

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-autoFC

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-autoFC

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed).

Health

CRAN checks

13OK

Slowest check: 2.6 min · r-oldrel-macos-x86_64

Code health

None

Tests · ratio 0.00

not tracked

Coverage

100%

Documentation · exports

6

Dependencies · direct

Check history

OK2026-08-05
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
NOTE2026-08-01
12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
OK2026-06-09
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
ERROR2026-06-08
12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
OK2026-05-02
8 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Show 2 earlier snapshots

ERROR2026-04-30
7 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
OK2026-03-10
14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMEYes · 806 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 67% structuredCode of conductNoContributing guideNo

Examples that run: 100%
Documented parameters: 99%
Return-value docs: 91%
References docs: 12%

Downloads

4.1K

CRAN downloads in the past year

Rank #6,507 · ~11/day · ~341/mo

Releases R versions

Daily download trend is not available in this view yet.

32730 days

1.2K90 days

4.1K1 year

Compare downloads with other packages →

Also on135 r2u58 autocran

Dependencies

Declared dependencies

7 external dependencies (excludes base and recommended)

Depends (1)

R >= 3.5

Imports (6)

lavaanMASSMplusAutomation pbapply rstanstats

LinkingTo (0)

none

Suggests (3)

knitr rmarkdown cmdstanr

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (3)

Maintainer (1)

Mengtong Li

Maintainer, Author

Authors (3)

Mengtong Li

Maintainer, Author

Tianjun Sun

Author

Bo Zhang

Author

Package Timeline

8 releases. Pick two to compare their code metrics. R releases are shown for context.

1.0.0.1100Latest
2026-08-23 · current release · diff ↗
1.0.0.1002
2026-07-14 · diff ↗
1.0.0.1001
2026-06-10 · diff ↗
1.0.0.1000
2026-05-27 · diff ↗
0.2.0.1010
2026-04-29 · diff ↗
unarchivedReturned to CRAN
2026-04-29
R
R 4.6.0 released · 2026-04-24
archivedRemoved from CRAN
2026-04-10
requires archived package 'irrCAC'
R
R 4.5.0 released · 2025-04-11
0.2.0.1002
2025-03-13 · diff ↗
R
R 4.4.0 released · 2024-04-24
0.2.0.1001
2024-02-17 · diff ↗
R
R 4.3.0 released · 2023-04-21
R
R 4.2.0 released · 2022-04-22
0.1.2
2021-06-07
R
R 4.1.0 released · 2021-05-18

Package metadata

First published: 2021-06-07
Total releases: 8 / 5 yrs
License: GPL (>= 3) OSI
Additional repositories: stan-dev.r-universe.dev
Minimum R: ≥ 3.5
Bundled data: 82 KB / 4 files
Download size: 299 KB
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("autoFC")

Format

Li, M., Sun, T., & Zhang, B. (2026). autoFC: Automatic Toolkit for Construction, Optimization, Scoring and Simulation of Forced-Choice Tests (Version 1.0.0.1100) [Computer software]. https://doi.org/10.32614/CRAN.package.autoFC

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 autoFC version 1.0.0.1100 [Data set]. HJJB, LLC. Data release v2026-08-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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