Item-by-Item Iterative Model Fitting R package seqwrap version 0.7.0 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'). Software Depends: R (>= 4.1) Imports: cli, S7, tibble, pbapply, parallel, stats, DHARMa, broom.mixed Suggests: testthat (>= 3.0.0), dplyr, knitr, purrr, quarto, glmmTMB, lme4, nlme, MASS, rmarkdown, gt, edgeR, tidyselect, ggplot2, cowplot, ggtext, R.rsp Daniel Hammarström <daniel.hammarstrom@inn.no> Comprehensive R Archive Network (CRAN) Daniel Hammarström [aut, cre, cph] (ORCID: <https://orcid.org/0000-0001-8360-2100>), Chidimma Echebiri [ctb] (ORCID: <https://orcid.org/0000-0003-3134-5186>) GPL-3 2026-05-19 application/tgz https://CRAN.R-project.org/package=seqwrap doi:10.32614/CRAN.package.seqwrap