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cNORM version 3.6.1

This release focuses on optimization, code hardening, and improved handling of beta-binomial models.

Major Features & Behavioral Changes

  • Model Averaging: Introduced an averaging argument in bestModel() to compute final coefficients as a BIC-weighted average across consistency- screened models. This reduces model selection variance and guarantees consistent models.
  • Analytic Consistency Checks: Replaced the discrete grid check with an exact analytical monotonicity check using polyroot() (now the default in checkConsistency()). This detects narrow violations that a discrete grid can miss and is faster.
  • Consistency Screening: Flat candidate models (independent of L) are now correctly flagged as inconsistent, and screening evaluates 8 age points (up from 2) to catch intersecting percentile curves.
  • Plotting: Discrete beta-binomial quantiles are now correctly rendered as step functions in plot() and compare().

Deprecations

  • Deprecated subsample_lm() and the subsampling argument in bestModel(). Subsampling OLS coefficients adds Monte-Carlo noise without improving the fit and is entirely replaced by the new averaging method.

Bug Fixes & Performance Optimizations

  • Fixed issues causing NaN RMSE values (switched from .lm.fit() to lm.fit()) and crashes during consistency screening with non-Taylor predictors.
  • Fixed beta-binomial probability normalization over truncated supports and resolved L-BFGS-B optimization convergence failures.
  • Fixed an edge case failure in checkConsistency() for conventional norming (minA1 == maxA1).
  • Significant performance improvements in beta-binomial modeling via precomputation of lchoose() and grouped-data optimizations in predict().

Test environments

  • local WIN11, 64Bit install, R 4.6.0
  • winbuilder win release, win old release, win development
  • Automatic checks on GitHub: Ubuntu (old-rel1, devel, release), MacOS latest, Windows latest

R CMD check results

There were no ERRORs, WARNINGs or NOTEs.

Downstream dependencies

There are currently no downstream dependencies for this package.