NEWS.md

In McMiso: Multicore Multivariable Isotonic Regression

McMiso 0.2.0

Breaking Changes

• The default prior hyperparameters for PBclassifier() and miso() have changed from a0 = 0.25, b0 = 0.25 to a0 = 0.5, b0 = 0.5 (Jeffreys prior). Results from previous versions can be reproduced by explicitly passing a0 = 0.25, b0 = 0.25.

• mcmiso() is now an exported function. Previously it was internal. Its interface has also changed: the future parallel plan must now be set by the caller via future::plan() before calling mcmiso(), rather than being set internally. This follows best practices for the future package.

• The return value of miso() now has class "miso", enabling a dedicated print method. Code that tested class(fit) == "list" will need updating.

New Features

• misoN(): multivariable isotonic regression for continuous outcomes using a Normal-Inverse-Chi-Squared conjugate model.

• mcmisoN(): parallel computing wrapper for misoN() (requires the future package and a parallel plan set by the caller).

• mcPBclassifier(): parallel computing wrapper for PBclassifier().

• boundary(): extracts the decision boundary (minimal positive set) from a fitted "pbc" object.

• New print methods: print.pbc(), print.miso(), print.misoN(), print.boundary().

• Comprehensive input validation has been added to all exported functions.

Performance Improvements

• getScenesV3() has been rewritten from a brute-force expand.grid(2^K) enumeration to a recursive backtracking algorithm. This substantially reduces memory usage and computation time for large numbers of unique feature combinations.

• Vectorized computation replaces inner loops in SweepCombTogBinom(), SweepMcCombBinom(), SweepCombTogNorm(), and SweepMcCombNorm().

Dependency Changes

• dplyr has been removed as a dependency (no longer used internally).

• future has been moved from Imports to Suggests. It is only required for the parallel computing wrappers (mcmiso, mcPBclassifier, mcmisoN). These functions check for the package at run time and give an informative error if it is not installed.

McMiso 0.1.2

• Initial CRAN release.

McMiso documentation built on April 4, 2026, 1:07 a.m.