Package: seqwrap 0.7.0
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').
Authors:
seqwrap_0.7.0.tar.gz
seqwrap_0.7.0.tar.gz(r-4.7-any)seqwrap_0.7.0.tar.gz(r-4.6-any)
seqwrap_0.7.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
seqwrap/json (API)
NEWS
| # Install 'seqwrap' in R: |
| install.packages('seqwrap', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/trainome/seqwrap/issues
- dungan_counts - Dungan et al 2022 counts
Last updated from:5ac176beed. Checks:4 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 237 | ||
| source / vignettes | OK | 316 | ||
| linux-release-x86_64 | OK | 224 | ||
| wasm-release | OK | 165 |
Exports:generic_evaluationgeneric_summaryseqwrapseqwrap_composeseqwrap_summariseseqwrapResultssimcountssimcounts2swcontainer
Dependencies:apeaskpassbackportsbase64encbootbroombroom.mixedbslibcachemclicodacodetoolscommonmarkcpp11crosstalkcurldata.tableDHARMadigestdoParalleldplyrevaluatefarverfastmapfontawesomeforcatsforeachfsfurrrfuturegapgap.datasetsgenericsggplot2globalsgluegtablehighrhtmltoolshtmlwidgetshttpuvhttrisobanditeratorsjquerylibjsonliteknitrlabelinglaterlatticelazyevallifecyclelistenvlme4lmtestmagrittrMASSMatrixmemoisemgcvmimeminqanlmenloptropensslotelparallellypbapplypillarpkgconfigplotlyplyrpromisespurrrqgamR6rappdirsrbibutilsRColorBrewerRcppRcppEigenRdpackreformulasrlangrmarkdownS7sassscalesshinysourcetoolsstringistringrsystibbletidyrtidyselecttinytexutf8vctrsviridisLitewithrxfunxtableyamlzoo
Fitting models with seqwrap
Rendered fromfitting-models-with-seqwrap.html.asisusingR.rsp::asison May 19 2026.Last update: 2026-05-19
Started: 2026-05-19
Working with lme4 and nlme in seqwrap
Rendered fromfitting-lme4-nlme-models-with-seqwrap.qmdusingquarto::htmlon May 19 2026.Last update: 2026-05-19
Started: 2026-05-19
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Dungan et al 2022 counts | dungan_counts |
| Generic evaluation for model fits | generic_evaluation |
| Generic summaries for model parameter estimates. | generic_summary |
| Print method for objects of class seqwrapResults | print.seqwrapResults |
| A flexible upper-level wrapper for iterative modelling using any available fitting algorithm | seqwrap |
| Compose a swcontainer object for use in the seqwrap function. | seqwrap_compose |
| Summarise seqwrapResults objects | seqwrap_summarise |
| seqwrapResults class | seqwrapResults |
| Simulate counts from a simple experiment (paired or unpaired) using Poisson or negative binomial distributions. | simcounts |
| Simulate counts from a parallel groups design with three time-points | simcounts2 |
| seqwrap container class | swcontainer |
