Package: BatchVaria 0.99.2

BatchVaria: Variance-Aware Evaluation of Batch Correction

Evaluates batch correction in omics data by quantifying how a correction redistributes variance, not only whether it removes it. Records correction and variance-decomposition provenance in the metadata of an ordinary SummarizedExperiment, and harmonises both the batch correction methods and the variance-profiling engines behind documented contracts, so that either set can be extended without modifying the package. Variance fractions are compositional, so removing variance associated with one term inflates the fraction attributed to every other. Each decomposition is therefore recorded alongside the total variance it is relative to and the share an unbalanced design cannot attribute to any single term, which is what distinguishes a correction that removed unwanted variation from one that merely removed variation.

Authors:Nicholas Moir [aut, cre]