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AdaReFun 0.1.2

  • Adds an English package showcase, original vector identity, local pkgdown documentation, worked examples, result gallery and reproduction guidance.
  • Records the GitHub address and adds citation metadata and contribution guidance.
  • Explains the distinction between independent validation, post-selection refits, structural recovery, and conditional prediction-record uncertainty.
  • Preserves all 0.1.1 statistical interfaces, defaults, R code and C++ kernels. Manuscript v18 corrects regional ISE reporting separately from estimation.

AdaReFun 0.1.1

  • Records Bahadır Yüzbaşı and Jiguo Cao as package authors, with verified institutional email addresses and ORCID identifiers.
  • Aligns the package citation, overview, README, and vignette with the ARFC manuscript terminology and the non-ensemble role of ARFC-Select.
  • Documents the review-stage availability policy without claiming a public repository or archive DOI before those resources exist.
  • Leaves the validated statistical interfaces and RcppArmadillo numerical implementation unchanged from 0.1.0.

AdaReFun 0.1.0

  • Defines AdaReFun as Adaptive Regional Functional Regression and distinguishes the ARFC estimator family, a single arfc() specification, and the non-ensemble four-candidate arfc_select() procedure.
  • Introduces adaptive regional folded-concave regression through arfc() and four-candidate validation selection through arfc_select().
  • Supports adaptive single- and multi-resolution MCP and SCAD penalties with a shared RcppArmadillo numerical core.
  • Adds coefficient, regional-norm, adaptive-weight, tuning-path, and candidate comparison plots.
  • Retains the documented fmcp()/fMCP() and fscad()/fSCAD() interfaces from the earlier research package.