v1.1.3 - July 8th 2026
harmonize.batches(): addedalgorithm(ComBat/limma),ComBat.mode, andblock; limma helps on sparse designs where ComBat hits a singular matrixharmonize.batches(): drop uncorrectable proteins with a warning, error on an empty result, and fix thealgorithm/blockdefaultsload.counts2automatically converts the counts into log2 transformed.diff.analyses,diff.analyses.limmaanddiff.analyses.prolfquanow return, for each group, the standard deviation (sd.<group>) and standard error of the mean (sem.<group>) of the log2 expression values, pluslfcSE, the standard error of the log2(FoldChange). The new columns are appended at the end of theresultstable.lfcSEisNAwhenstat.test = "wilcoxon"- updated manual and vignette accordingly to take into account for these exceptions and modifications
Full Changelog: 1.1.2...1.1.3