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 |
| Author: | Daniel Hammarström
 [aut, cre,
cph],
Chidimma Echebiri
[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: seqwrap_0.7.0.zip, r-release: seqwrap_0.7.0.zip, r-oldrel: seqwrap_0.7.0.zip |
| macOS binaries: | r-release (arm64): seqwrap_0.7.0.tgz, r-oldrel (arm64): seqwrap_0.7.0.tgz, r-release (x86_64): seqwrap_0.7.0.tgz, r-oldrel (x86_64): seqwrap_0.7.0.tgz |
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