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aihuman

1.0.1Package record

Experimental Evaluation of Algorithm-Assisted Human Decision-Making

0packages depend
6.9Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

Provides statistical methods for analyzing experimental evaluation of the causal impacts of algorithmic recommendations on human decisions developed by Imai, Jiang, Greiner, Halen, and Shin (2023) doi:10.1093/jrsssa/qnad010 and Ben-Michael, Greiner, Huang, Imai, Jiang, and Shin (2024) doi:10.48550/arXiv.2403.12108. The data used for this paper, and made available here, are interim, based on only half of the observations in the study and (for those observations) only half of the study follow-up period. We use them only to illustrate methods, not to draw substantive conclusions.

Changes in 1.0.1
  • Minor update: updated compute_bounds_aipw() function to allow for a single treatment group (i.e., Z = 1 or Z = 0).

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 9.8 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 OK2026-05-02
Show 3 earlier changesHide 3 earlier changes
  • NOTE12 OK, 2 NOTE2026-04-22
  • ERROR11 OK, 2 NOTE, 1 ERROR2026-04-18
  • NOTE12 OK, 2 NOTE2026-03-10
Advisories

none known

Documentation

In release 1.0.1
READMEYes · 813 wordsVignettesYes · 2 · dynamicNEWSYes · 100% structured · mentions 1.0.1Citation fileYes · cites a publicationWebsitenot declared in DESCRIPTION
Help pages
69 (12 internal)includes a package overview page
Examples that run
59%27 run in a plain check · 19 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples
97%
Documented parameters
99%
Return-value docs
100%
Help pages citing references
10%
Vignettes (2)

Downloads

6.9K
CRAN downloads in the past year
Rank #6,192 · ~19/day · ~578/mo
Daily download trend is not available in this view yet.
45030 days
1.3K90 days
6.9K1 year
Compare downloads with other packages →
Also on376 r2u47 autocran

Repository

2Stars
1Forks
0Open issues
0Open PRs
0Releases
46Commits
1Commit identities
46 commits · Last activity 2025-05-07
Responsiveness
How these are sampled
PRs merged (all time)
100%
Median days to close, 50 most recently updated closed issues
not measured
Median days to close, 50 most recently updated closed PRs
0

Stars over time

2024-10-07 · 22026-07-07 · 2
PracticesBeta

5 development-tooling and community-health practices detected across 4 families in the upstream repository

Checks run against github.com/sooahnshin/aihuman on 2026-10-11.

Continuous integration (2)
GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

Docs source (1)
README.Rmd
Reproducibility and dev environment (1)
data-raw/
CRAN release process (1)
cran-comments.md
How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies
21 external dependencies (excludes base and recommended)

Installing aihuman adds 63 packages (36 with compiled code, 60 MB of source tarballs). Heaviest: stringi 11 MB, sf 9.3 MB, ggplot2 6.0 MB.

Depends (1)
R >= 4.1.0
Suggests (2)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (3)
Author, Maintainer since 0.1.0 (2023)
Releases (3)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • 1.0.1Latest
    record
    2025-05-07 · current release · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • 1.0.0
    record
    2025-01-09 · diff ↗ ·
    added 3 exports
    compute_nuisance_functions, compute_nuisance_functions_ai, g_legend
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • 0.1.0
    record
    2023-03-02
  • R
    R 4.2.0 released · 2022-04-22

Package metadata

First published
2023-03-02
Total releases
3 / 3 yrs
License
GPL (>= 2) OSI
Minimum R
≥ 4.1.0
Bundled data
34 KB / 8 files
Download size
1.2 MB

Cite

Cite this package

Run in R for the authors' entry:

citation("aihuman")

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.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for aihuman version 1.0.1 [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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