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bigPLScox 0.6.0

See the “Release highlights” section of the README for a condensed overview of these changes.

• Added C++ implementations for Cox deviance residuals with streaming support for matrices together with benchmarking utilities.
• Introduced prediction wrappers and component selection helpers (AIC/BIC) for big_pls_cox() and big_pls_cox_gd().
• Enabled naive sparsity control in big_pls_cox() and exposed survival model objects for downstream predictions.
• Added cross-validation helpers cv.big_pls_cox() and cv.big_pls_cox_gd() mirroring the plsRcox criteria, including the recommended survivalROC iAUC metric by default.
• Documented the legacy and big-memory prediction helpers with runnable examples and cross references to diagnostic utilities.
• Extended unit test coverage for the new deviance and prediction features.
• Fixed cv.coxgpls() to accept big.matrix predictors without coercion errors.

bigPLScox 0.5.0

• Added reproducible benchmarking utilities under inst/benchmarks comparing big_pls_cox() against plsRcox::plsRcox() on in-memory and file-backed matrices.
• Published two package vignettes that cover introductory workflows and large-scale analyses with bigmemory.
• Added an introductory vignette covering the core Cox-PLS workflow.
• Refreshed the README and website copy to highlight core functionality and to demonstrate working examples without warnings, including guidance on learning materials and benchmarking resources.
• Refreshed the README with guidance on learning materials and benchmarking.
• Completed package-level documentation with bibliographic references.
• Updated package metadata to list optional dependencies used in docs and benchmarks.

bigPLScox 0.4.0

• Updated maintainer contact details in DESCRIPTION.
• Added unit tests for big_pls_cox() and big_pls_cox_gd() stability checks.
• Added unit tests covering the new C++-accelerated Cox PLS implementation and cross-validation utilities.

bigPLScox 0.3.0

• Improved big_pls_cox() numerical stability and added support for additional convergence diagnostics in the gradient-descent solver.
• Refactored stochastic gradient solvers to better integrate with bigmemory file-backed matrices.
• Improved numerical stability of the deviance residual computations.

bigPLScox 0.2.0

• Expanded documentation examples for deviance residuals and Cox model utilities.
• Added dataset documentation for micro.censure and simulated Cox examples.
• Added pkgdown site configuration and continuous integration workflows.

bigPLScox 0.1.0

• Introduced gPLS and sgPLS model families with support for grouped predictors and deviance residual pipelines with cross-validation support.

bigPLScox 0.0.1

• Initial package skeleton with core data objects and helper routines.

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.