dkaschek/blotIt2: Align Time-Course Data by a Mixed-Effects Alignment Model

An implementation of non-linear mixed models for the alignment of data. It primarily deals with time-course data of different targets which have been measured under different experimental conditions and whose measured values might be on a different scale, e.g. because of different amplification. The algorithm determines the different scaling and estimates the time-course on a common scale.

Getting started

Package details

AuthorDaniel Kaschek
MaintainerDaniel Kaschek <daniel.kaschek@physik.uni-freiburg.de>
LicenseGPL (>= 2)
Version0.1
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("dkaschek/blotIt2")
dkaschek/blotIt2 documentation built on July 10, 2021, 5:37 a.m.