NEWS
LDAShiny 1.0.0 (2026-06-08)
New features
- First release as an R package built with
golem.
- Five-step pipeline: Import → Preprocess → Inference → Final Model → Trends.
- Multi-file upload: multiple Scopus CSVs and Web of Science TXTs can be merged
in a single operation with DOI-based deduplication.
- Custom ggplot2 plots with full export control (PNG / TIFF / JPEG / PDF).
- Word cloud per topic with RColorBrewer palette support.
- Topic trend classification (HOT / COLD / EQUAL) via linear regression.
Breaking changes
None (first release).
Bug fixes
options(shiny.maxRequestSize) is now set and restored within
run_LDAShiny() only — not at package load time.
- Removed audio dependency (
beepr) which is unsuitable for CRAN packages.
- Fixed
get(input$theme_choice) calls replaced with safe named-list lookups
using lda_themes().
mod_inference_server is now properly exported.
parallel::detectCores() is now declared in NAMESPACE via @importFrom.