R Observatory: Metrics for iai version 1.10.2

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

iai

1.10.2Package record

Interface to 'Interpretable AI' Modules

0packages depend

4.2Kdownloads / year

2.2%test coverage

13/13flavors OK

Overview

About

Maintained by Jack DunnCRAN page ↗Website ↗

An interface to the algorithms of 'Interpretable AI' https://www.interpretable.ai from the R programming language. 'Interpretable AI' provides various modules, including 'Optimal Trees' for classification, regression, prescription and survival analysis, 'Optimal Imputation' for missing data imputation and outlier detection, and 'Optimal Feature Selection' for exact sparse regression. The 'iai' package is an open-source project. The 'Interpretable AI' software modules are proprietary products, but free academic and evaluation licenses are available.

Changes in 1.10.2

Add support for Julia 1.11+

From NEWS.md in the release

Install

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

install.packages("iai", 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-iai

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-iai

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-iai

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: 3.2 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.10.2

READMEYes · 74 wordsVignettesNoNEWSYes · 100% structured · mentions 1.10.2Citation fileNoWebsiteYes

Help pages: 246
Examples that run: 0%221 never run
Exported functions with examples: 84%
Documented parameters: 100%
Return-value docs: 0%
Help pages citing references: 0%

How these are measured

Downloads

4.2K

CRAN downloads in the past year

Rank #10,607 · ~11/day · ~346/mo

Releases R versions

Daily download trend is not available in this view yet.

42230 days

97890 days

4.2K1 year

Compare downloads with other packages →

Also on86 r2u7 autocran96 c2d4u

How downloads are counted

Dependencies

Declared dependencies

12 external dependencies (excludes base and recommended)

Installing iai adds 30 packages (15 with compiled code, 31 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, Rcpp 1.8 MB.

Depends (0)

none

Imports (8)

JuliaCall stringr rlang lifecycle rappdirs ggplot2 cowplot rjson

LinkingTo (0)

none

Suggests (4)

testthat covr xml2 withr

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

People & History

People (3)

Jack Dunn

Author, Maintainer since 1.0.0 (2019)

Ying Zhuo

Author · added in 1.1.0

Interpretable AI LLC

Copyright holder

Releases (13)

Pick two releases to compare their code metrics.

R
R 4.6.0 released · 2026-04-24
R
R 4.5.0 released · 2025-04-11
1.10.2Latest
record
2024-10-19 · current release · diff ↗
1.10.1
record
2024-06-18 · diff ↗
R
R 4.4.0 released · 2024-04-24
1.10.0
record
2023-06-13 · diff ↗ ·
added 2 exports
optimal_tree_multi_classifier, optimal_tree_multi_regressor
R
R 4.3.0 released · 2023-04-21
1.9.0
record
2023-04-04 · diff ↗ ·
added 2 exports
get_policy_treatment_outcome_standard_error, predict_treatment_outcome_standard_error
1.8.0
record
2022-08-29 · diff ↗ ·
added 4 exports
acquire_license, load_graphviz, release_license, resume_from_checkpoint
R
R 4.2.0 released · 2022-04-22
1.7.0
record
2021-12-06 · diff ↗ ·
added 11 exports
cleanup_installation, copy_splits_and_refit_leaves, fit_and_expand, get_machine_id, glmnetcv_classifier, glmnetcv_survival_learner, predict_reward, prune_trees, refit_leaves, transform_and_expand, zero_imputation_learner
1.6.0
record
2021-06-09 · diff ↗ ·
added 23 exports
add_julia_processes, categorical_classification_reward_estimator, categorical_regression_reward_estimator, categorical_survival_reward_estimator, get_cluster_assignments, get_cluster_details, get_cluster_distances, get_estimation_densities, get_features_used, get_stability_results, get_train_errors, get_tree, numeric_classification_reward_estimator, numeric_regression_reward_estimator, numeric_survival_reward_estimator, predict_shap, random_forest_survival_learner, set_reward_kernel_bandwidth, similarity_comparison, stability_analysis, tune_reward_kernel_bandwidth, variable_importance_similarity, xgboost_survival_learner
R
R 4.1.0 released · 2021-05-18
1.5.0
record
2021-02-03 · diff ↗ ·
added 4 exports
get_grid_result_details, get_grid_result_summary, install_julia, install_system_image
1.4.0
record
2020-12-09 · diff ↗ ·
added 20 exports
all_treatment_combinations, categorical_reward_estimator, convert_treatments_to_numeric, equal_propensity_estimator, get_num_fits, get_policy_treatment_outcome, get_roc_curve_data, get_survival_expected_time, get_survival_hazard, glmnetcv_regressor, numeric_reward_estimator, predict_treatment_outcome, predict_treatment_rank, random_forest_classifier, random_forest_regressor, write_booster, write_pdf, write_svg, xgboost_classifier, xgboost_regressor
1.3.0
record
2020-08-05 · diff ↗ ·
added 7 exports
fit_predict, get_policy_treatment_rank, optimal_tree_policy_maximizer, optimal_tree_policy_minimizer, optimal_tree_survival_learner, predict_expected_survival_time, reward_estimator

Show 5 earlier eventsHide 5 earlier events

R
R 4.0.0 released · 2020-04-24
1.2.0
record
2020-01-29 · diff ↗ ·
added 1 export
predict_hazard
1.1.0
record
2019-09-13 · diff ↗ ·
added 8 exports
get_prediction_constant, get_prediction_weights, multi_questionnaire, multi_tree_plot, optimal_feature_selection_classifier, optimal_feature_selection_regressor, questionnaire, tree_plot
1.0.0
record
2019-07-18
R
R 3.6.0 released · 2019-04-26

Package metadata

First published: 2019-07-18
Total releases: 13 / 7 yrs
License: MIT + file LICENSE OSI
Download size: 83 KB

Appears in task views

Missing Data

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("iai")

Format

Dunn, J., Interpretable AI LLC, & Zhuo, Y. (2024). iai: Interface to 'Interpretable AI' Modules (Version 1.10.2) [Computer software]. https://doi.org/10.32614/CRAN.package.iai

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

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 iai version 1.10.2 [Data set]. HJJB, LLC. Data release v2026-10-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

Report a problem with this page →