DESCRIPTION

Package: lionessR
Title: Modeling networks for individual samples using LIONESS
Version: 1.0
Author: Marieke Lydia Kuijjer
Maintainer: Marieke Lydia Kuijjer <marieke.kuijjer@ncmm.uio.no>
Description: LIONESS, or Linear Interpolation to Obtain Network Estimates for Single Samples, can be used to reconstruct single-sample networks (https://arxiv.org/abs/1505.06440). This code implements the LIONESS equation in the lioness function in R to reconstruct single-sample networks. The default network reconstruction method we use is based on Pearson correlation. However, lionessR can run on any network reconstruction algorithms that returns a complete, weighted adjacency matrix. lionessR works for both unipartite and bipartite networks.
Depends:
    R (>= 3.0.2)
Imports: 
    stats
License: MIT
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
Suggests: knitr,
    rmarkdown
VignetteBuilder: knitr