seqwrap: Item-by-Item Iterative Model Fitting

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').

Version: 0.7.0
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
Published: 2026-05-19
DOI: 10.32614/CRAN.package.seqwrap (may not be active yet)
Author: Daniel Hammarström ORCID iD [aut, cre, cph], Chidimma Echebiri ORCID iD [ctb]
Maintainer: Daniel Hammarström <daniel.hammarstrom at inn.no>
BugReports: https://github.com/trainome/seqwrap/issues
License: GPL-3
Copyright: see file COPYRIGHTS
URL: https://github.com/trainome/seqwrap
NeedsCompilation: no
Materials: README, NEWS
CRAN checks: seqwrap results

Documentation:

Reference manual: seqwrap.html , seqwrap.pdf
Vignettes: Working with lme4 and nlme in seqwrap (source, R code)
Fitting models with seqwrap (source)

Downloads:

Package source: seqwrap_0.7.0.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available

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