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.