seqwrap - Item-By-item Iterative Model Fitting

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.

Installing

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")