Interpreting Latent Variables with AI
Overview
A small package designed for interpreting continuous and categorical latent variables. You provide a data set with a latent variable you want to understand and some other explanatory variables. It provides a description of the latent variable based on the explanatory variables. It also provides a name to the latent variable.
- Added a
NEWS.mdfile to track changes to the package. - Enhanced prompt generation in
nail_sort()to enforce stricter group limits - Added new parameters to
nail_catdes()andnail_condes()to sample significant results when too many - Enhanced prompt in
nail_qda()to generate reports
From NEWS.md in the release
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
- 25 (1 internal)
- Examples that run
- 0%24 never run
- Exported functions with examples
- 90%
- Documented parameters
- 88%
- Return-value docs
- 100%
- Help pages citing references
- 0%
- NaileR-vignette HTML
Downloads
Dependencies
Installing NaileR adds 114 packages (62 with compiled code, 91 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, bslib 5.6 MB.
Code & Tests
Datasets
People & History
Package metadata
- First published
- 2024-08-01
- Total releases
- 5 / 2 yrs
- License
- GPL (>= 2) OSI
- Minimum R
- ≥ 4.1.0
- Bundled data
- 179 KB / 15 files
- Download size
- 286 KB
Cite
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