Package: ai 1.0.4.44
ai: Build, Predict and Analyse Artificial Intelligence Models
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.
Authors:
ai_1.0.4.44.tar.gz
ai_1.0.4.44.zip(r-4.7)ai_1.0.4.44.zip(r-4.6)ai_1.0.4.44.zip(r-4.5)
ai_1.0.4.44.tgz(r-4.6-any)ai_1.0.4.44.tgz(r-4.5-any)
ai_1.0.4.44.tar.gz(r-4.7-any)ai_1.0.4.44.tar.gz(r-4.6-any)
ai_1.0.4.44.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
ai/json (API)
| # Install 'ai' in R: |
| install.packages('ai', repos = c('https://urniaz.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/urniaz/ai/issues
Last updated from:28282f73f9. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 111 | ||
| source / vignettes | OK | 155 | ||
| linux-release-x86_64 | OK | 110 | ||
| macos-release-arm64 | OK | 85 | ||
| macos-oldrel-arm64 | OK | 83 | ||
| windows-devel | OK | 69 | ||
| windows-release | OK | 64 | ||
| windows-oldrel | OK | 78 | ||
| wasm-release | OK | 99 |
Exports:configmodelprodatastatsstats_compare_modelsstats_model
Dependencies:bitopscaToolsclasscodetoolscoinlatticelibcoinMASSMatrixmatrixStatsMetricsmodeltoolsmultcompmvtnormpartysandwichstrucchangesurvivalTH.datazoo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Models parameters | config |
| AI/ML models | model |
| Data processing | prodata |
| Models statistics | stats |
| stats_compare_models() | stats_compare_models |
| stats_model() | stats_model |
