Suggests: jsonlite, testthat, covr, RCurl

Title: Interpolation and Extrapolation for Phylogenetic Diversity
"euler96@gmail.com"),  person("Chun-Huo", "Chiu", role = "ths", email =
"otterfinder@yahoo.com.tw"), person("Anne", "Chao", role = "ths", email =
Description: Interpolation and extrapolation for phylogenetic diversity.
Imports: stats, graphics, ade4, ggplot2, Rcpp, iNEXT
Suggests: knitr, rmarkdown, gridExtra, ggthemes

Imports: AUC, Matrix, data.table, dplyr, Rcpp, methods, foreach,
Author: Sumanta Basu and Karl Kumbier (based on source codes from the R packages FSInteract by Hyun Jik Kim and Rajen D. Shah, randomForest by Andy Liaw and Matthew Wiener, and the original Fortran codes by Leo Breiman and Adele Cutler)
Description: Iteratively grows feature weighted random forests and finds high-order feature interactions in a stable fashion.

Title: Integrative Random Forest for Gene Regulatory Network Inference
person("Jialiang Yang", "Developer", role = "aut"),
Description: Provides a flexible integrative algorithm that allows information from prior data, such as protein protein interactions and gene knock-down, to be jointly considered for gene regulatory network inference.

person("Jialiang", "Yang", role = "aut"),

Description: "iRefR" allows the user to load any version of the
consolidated protein interaction database "iRefIndex" and
perform tasks such as: selecting databases, pmids, experimental
methods, searching for specific proteins, separate binary
interactions from complexes and polymers, generate complexes
according to an algorithm that looks after possible
binary-represented complexes, make general database statistics
and create network graphs, among others.
Author: Antonio Mora <a.m.ortiz@biotek.uio.no>, Ian Donaldson
Depends: R (>= 2.12.1), graph, RBGL, igraph

Description: "iRefR" allows the user to load any version of the consolidated protein interaction database "iRefIndex" and perform tasks such as: selecting databases, pmids, experimental methods, searching for specific proteins, separate binary interactions from complexes and polymers, generate complexes according to an algorithm that looks after possible binary-represented complexes, make general database statistics and create network graphs, among others.
Author: Antonio Mora <a.m.ortiz@biotek.uio.no>, Ian Donaldson <i.m.donaldson@biotek.uio.no>