Build, Predict and Analyse Artificial Intelligence Models
Overview
An interface for data processing, building models, predicting values and analysing outcomes. Fitting Linear Models, Robust Fitting of Linear Models, k-Nearest Neighbor Classification, 1-Nearest Neighbor Classification, and Conditional Inference Trees are available.
Install
Health
- 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 2 earlier changesHide 2 earlier changes
- ERROR12 OK, 1 ERROR2026-06-08
- OK14 OK2026-03-10
Documentation
- Help pages
- 6
- Examples that run
- 0%4 only when donttest examples are enabled (R CMD check --as-cran)
- Exported functions with examples
- 67%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 0%
Downloads
Repository
Stars over time
Releases over time
4 development-tooling and community-health practices detected across 3 families in the upstream repository
Checks run against github.com/urniaz/ai on 2026-10-18.
The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel
GitHub Pages site last deployed 2026-05-30
Dependencies
Code & Tests
People & History
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- 1.0.4.44Latest2024-10-02 · current release
- RR 4.4.0 released · 2024-04-24
Package metadata
- First published
- 2024-10-02
- Total releases
- 1 / 2 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 4.4.0
- Download size
- 5.1 KB
Cite
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