README.md

In statdivlab/tinyvamp: Modeling complex measurement error in microbiome experiments

tinyvamp

tinyvamp is a package for estimation and removal of measurement error in high-throughput sequencing data.

Full details on the model and estimation method are available in the preprint.

Documentation and vignettes are under construction - please check back soon!

Needs something more urgently? File an issue or send Amy an email!

Installation

You can install the development version of tinyvamp from GitHub with:

# install.packages("remotes")
remotes::install_github("statdivlab/tinyvamp")

If you haven’t already, you may need to install fastnnls and logsum, too:

# install.packages("remotes")
remotes::install_github("ailurophilia/fastnnls")
remotes::install_github("ailurophilia/logsum")
remotes::install_github("statdivlab/tinyvamp")

Humans

Authors: David Clausen and Amy Willis

Do you have a request for us? Let us know! We want folks to use tinyvamp and will try to make it as easy as possible.

Do you have a question? Check out the above documentation list, then shoot us an email or open a Discussion. We receive a lot of emails from users, so we try to answer questions on the Wiki rather than responding to everyone individually.

statdivlab/tinyvamp documentation built on July 28, 2023, 11:21 p.m.