schaarschmidt/mixADA: Normalization, mixture models and screening cutpoints for anti-drug-antibody reactions

Graphical user interface to perform normalization, fitting of a mixed effects mixture model and computation of percentiles or prediction limits with application to estimate cut points for samples exhibiting anti drug antibody reactions. Currently, two different user interfaces are available: mixADAserver() implements the complete process for raw data, mixADAsimple() implements only mixture model fits, SCP and CCP computation for data sets that have already been normalized.

Getting started

Package details

AuthorFrank Schaarschmidt, based on contributions by Bettina Gruen, Thomas Jaki, Ludwig Hothorn
MaintainerFrank Schaarschmidt <schaarschmidt@biostat.uni-hannover.de>
LicenseGPL (>=2)
Version1.3
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("schaarschmidt/mixADA")
schaarschmidt/mixADA documentation built on May 29, 2019, 3:25 p.m.