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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.