c(person(given = "Kaiguang", family = "Zhao", role = c("aut", "cre"), email = "zhao.1423@osu.edu"),
person(given = "Tongxi", family = "Hu", role = "aut", email = "hu.1555@osu.edu"),
person(given = "Yang", family = "Li", role = "aut", email = "li.10015@osu.edu"),
person(given = "Jack", family = "Dongarra", role="ctb"),
person(given = "Cleve", family = "Moler", role="ctb")
)

c(
person("Feipeng", "Zhang", email = "zhangfp108@gmail.com", role = "cre"),
person("Qunhua", "Li", email = "qunhua.li@psu.edu", role = "aut"))
An implementation of robust bent line regression. It can fit the bent line regression and test the existence of change point,
for the paper, "Feipeng Zhang and Qunhua Li (2016). Robust bent line regression, submitted."

Video Reading and Background Subtraction in Videos
c(person("Rimjhim", "Singh", role = c("aut", "cre"),
email = "rimjhimsingh1012@gmail.com"),
person("Poonam", "Sharma", role = "aut"))
Rimjhim Singh [aut, cre],
Poonam Sharma [aut]
Methods that allow video reading and loading in R. Also provides nine different methods for  background subtraction.
Java JRE 1.6 or higher ; Xuggle-xuggler-5.4.jar in
library paths and class paths.

Reading and Background Subtraction in Videos
c(person("Rimjhim", "Singh", role = c("aut","cre"),
email = "rimjhimsingh1012@gmail.com"),
person("Poonam", "Sharma", role = "aut"))

RbioRXN - process Rhea and MetaCyc (BioCyc, EcoCyc) biochemical
reaction data
Byoungnam Min, Kyoung Heon Kim and In-Geol Choi
RbioRXN is an R package that facilitates retrieving and
processing biochemical reaction data such as Rhea, MetaCyc,
BioCyc and EcoCyc. The package provides various functions to
download and parse data, instantiate generic reaction,
interchange compound ID among well-known biochemical databases
(e.g. KEGG, PubChem, and ChEBI) and check mass balance. The
package aims to construct an integrated metabolic network and
genome-scale metabolic model

RbioRXN is an R package that facilitates retrieving and processing biochemical reaction data such as Rhea, MetaCyc, BioCyc and EcoCyc. The package provides various functions to download and parse data, instantiate generic reaction, interchange compound ID among well-known biochemical databases (e.g. KEGG, PubChem, and ChEBI) and check mass balance. The package aims to construct an integrated metabolic network and genome-scale metabolic model.
R (>= 2.0.0), gdata, CHNOSZ, hash, foreach