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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.