correct_batch_serrf() no longer require the optional packages mirai and carrier. They run sequentially unless parallel workers are set up with mirai::daemons().0.5E6, 1.0E6, 1.5E6) instead of a superscript exponent on each label, leaving more room for the panels.batch column of the sample list and the uniform_width and baseline columns of the transition list are optional, and the valley-drop baseline is computed correctly when several features share one transition. Step 4 (chromatogram PDFs) finds R on the PATH and, on Windows, otherwise uses the newest installed R.First stable release of the MRMhub software framework.
set_lipid_class() derives lipid classes from lipid feature names using the rgoslin package.1/sqrt(x) weighting.n_bqc, n_tqc, n_spl).Peer-reviewed version of Burla, Teo et al., Nature Metabolism (2026), doi:10.1038/s42255-026-01629-2. The version initially submitted for review was 0.9.2.
correct_batch_combat(); Johnson et al., Biostatistics 2007) and SERRF random-forest normalization (correct_batch_serrf(); Fan et al., Anal. Chem. 2019), complementing correct_batch_centering().import_data_mztab(), save_dataset_mztab(); Hoffmann et al., Anal. Chem. 2019).SummarizedExperiment (Morgan et al.) and lipidr LipidomicsExperiment objects (Mohamed et al., J. Proteome Res. 2020) via save_dataset_summarizedexperiment().mrmhub_set_plot_defaults().save_plot() writes any plot_*() figure to a file at a defined physical size and format, including multi-page PDFs.save_dataset_rds() and read_dataset_rds() save and load a complete MRMhubExperiment, making it easy to share and archive datasets with all data, metadata and processing status.