The seqwrap R package allows you to model
high-dimensional data using an item-by-item strategy with a specific
model engine. Using seqwrap, you can fit, e.g.,
gene/transcript data from an RNA sequencing experiment to a model
specified with random effects or custom distributions. This is possible
because seqwrap efficiently iterates over all items (e.g.,
genes) and fits the data to the same model formulation using established
R packages for regression modeling.
See the package Vignettes for examples.
Install the released version of seqwrap from CRAN:
install.packages("seqwrap")Or install the development version from GitHub:
# install.packages("pak")
pak::pkg_install("trainome/seqwrap")