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missPLS 0.2.1

• Improved test portability across BLAS/LAPACK implementations, including MKL, by comparing complete-data Q2 cross-validation summaries with a numeric tolerance while keeping exact selected-component parity checks.

missPLS 0.2.0

• Complete-data selection now degrades cleanly when optional plsdof is not installed, falling back to the naive information-criterion columns when degree-of-freedom based criteria are unavailable.
• Removed fixed default RNG seeds from the public API and avoided implicit writes to the user’s home filespace; long-run reproduction scripts now default to tempdir() unless an explicit output directory is supplied.

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.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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