NEWS
missPLS 0.1.0
- Initial package release.
- Added methods-first helpers for simulation, MCAR/MAR missingness generation,
imputation, component selection, and standardized study summaries.
- Added packaged real datasets for the published bromhexine, tetracycline,
octane, and ozone analyses.
- Added study runners for simulation and real-data workflows, plus diagnostics
for correlation and VIF-style screening.
- Added long-run reproduction scripts under
tools/ for complete-data,
incomplete-data, and real-data article/thesis reruns.
- Added tests, vignette material, and package documentation for the CRAN-ready
public API.
- Complete-data Q2 cross-validation now follows the documented
plsRglm::cv.plsR(object = ...) interface, while incomplete-data Q2
selection keeps the package-side NIPALS fallback used by missPLS.