Package: seqwrap 0.8.1

Daniel Hammarström

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:Daniel Hammarström [aut, cre, cph], Chidimma Echebiri [ctb]

seqwrap_0.8.1.tar.gz
seqwrap_0.8.1.zip(r-4.7-any)seqwrap_0.8.1.zip(r-4.6-any)seqwrap_0.8.1.zip(r-4.5-any)
seqwrap_0.8.1.tgz(r-4.6-any)seqwrap_0.8.1.tgz(r-4.5-any)
seqwrap_0.8.1.tar.gz(r-4.7-any)seqwrap_0.8.1.tar.gz(r-4.6-any)
seqwrap_0.8.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
seqwrap/json (API)

# Install 'seqwrap' in R:
install.packages('seqwrap', repos = c('https://trainome.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/trainome/seqwrap/issues

Datasets:

On CRAN:

Conda:

quarto

6.43 score 2 stars 74 scripts 277 downloads 14 exports 36 dependencies

Last updated from:99840c72a1. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK261
source / vignettesOK338
linux-releaseOK286
macos-releaseOK308
macos-oldrelOK330
windows-develOK326
windows-releaseOK305
windows-oldrelOK223
wasm-releaseOK124

Exports:dispersion_evaluationgeneric_evaluationgeneric_summaryresidual_diagnosticsseqwrapseqwrap_cache_clearseqwrap_composeseqwrap_errorsseqwrap_priorsseqwrap_summariseseqwrapResultssimcountssimcounts2swcontainer

Dependencies:backportsbroombroom.mixedclicodacodetoolscpp11digestdplyrforcatsfurrrfuturegenericsglobalsgluelatticelifecyclelistenvmagrittrnlmeparallellypbapplypillarpkgconfigpurrrR6rlangS7stringistringrtibbletidyrtidyselectutf8vctrswithr

Working with lme4 and nlme in seqwrap
Fitting count data to a negative binomial model using glmmTBM | Fitting transformed count data to a Gaussian model using lme4 | Using nlme::lme and nlme::gls, need for additional_vars

Last update: 2026-09-03
Started: 2026-04-08

Migrating from seqwrap 0.7.0
Changes affecting results from seqwrap | At a glance | 1. return_models now defaults to FALSE | 2. cache now defaults to "memory" | 3. The errors slot is a long table | 4. The default evaluation no longer uses DHARMa

Last update: 2026-08-12
Started: 2026-08-12

Fitting models with seqwrap
References

Last update: 2026-05-13
Started: 2026-05-13