https://trainome.r-universe.devRecent package updates in trainomeR-universehttps://github.com/trainome.pnghttps://trainome.r-universe.devFri, 22 May 2026 12:47:20 GMTdaniel.hammarstrom@inn.no (Daniel Hammarström)Models high-dimensional data, such as RNA-seq or proteomic data using an item-by-item strategy. The package contains functions to wrap high-dimensional data and iterate over them using established R packages for regression modelling (e.g., 'glmmTMB' or 'mgcv').https://github.com/r-universe/trainome/actions/runs/29813208828Fri, 22 May 2026 12:47:20 GMTseqwrap0.7.0.9000successhttps://trainome.r-universe.devhttps://github.com/trainome/seqwrapfitting-models-with-seqwrap.html.asisfitting-models-with-seqwrap.htmlFitting models with seqwrap2026-05-13 13:46:102026-05-13 13:46:10fitting-lme4-nlme-models-with-seqwrap.qmdfitting-lme4-nlme-models-with-seqwrap.htmlWorking with lme4 and nlme in seqwrap2026-04-08 13:28:472026-05-13 13:46:10