"Parallelized Minimum Redundancy, Maximum Relevance (mRMR)
Ensemble Feature Selection"
"Computes mutual information matrices from continuous, categorical and survival variables, as well as feature selection with minimum redundancy, maximum relevance (mRMR) and a new ensemble mRMR technique with DOI: N De Jay et al. (2013) <doi:10.1093/bioinformatics/btt383>."

Parallelized Minimum Redundancy, Maximum Relevance (mRMR)
c(
person('Nicolas', 'De Jay', role=c('aut')),
person('Simon', 'Papillon-Cavanagh', role=c('aut')),
person('Catharina', 'Olsen', role=c('aut')),
person('Gianluca', 'Bontempi', role=c('aut')),
person('Bo', 'Li', role=c('aut')),
person('Chirstopher', 'Eeles', role=c('ctb')),
person('Benjamin', 'Haibe-Kains', email='benjamin.haibe.kains@utoronto.ca',
role=c('aut', 'cre'))
)
Computes mutual information matrices from continuous, categorical
and survival variables, as well as feature selection with minimum redundancy,
maximum relevance (mRMR) and a new ensemble mRMR technique. Published in
De Jay et al. (2013) <doi:10.1093/bioinformatics/btt383>.
Nicolas De Jay [aut],
Simon Papillon-Cavanagh [aut],
Catharina Olsen [aut],
Gianluca Bontempi [aut],
Bo Li [aut],
Chirstopher Eeles [ctb],
Benjamin Haibe-Kains [aut, cre]

c(
person('Nicolas', 'De Jay', role=c('aut')),
person('Simon', 'Papillon-Cavanagh', role=c('aut')),
person('Catharina', 'Olsen', role=c('aut')),
person('Gianluca', 'Bontempi', role=c('aut')),
person('Bo', 'Li', role=c('aut')),
person('Christopher', 'Eeles', role=c('ctb')),
person('Benjamin', 'Haibe-Kains', email='benjamin.haibe.kains@utoronto.ca',
role=c('aut', 'cre'))
)
Nicolas De Jay [aut],
Simon Papillon-Cavanagh [aut],
Catharina Olsen [aut],
Gianluca Bontempi [aut],
Bo Li [aut],
Christopher Eeles [ctb],
Benjamin Haibe-Kains [aut, cre]

Numerical Tools for Filling Out an NCAA Basketball Tournament
Bracket
c(
person("Eli", "Shayer", email = "eshayer@stanford.edu",
role = c("aut", "cre")),
person("Scott", "Powers", email = "sspowers@stanford.edu", role = "aut"))
dplyr, glmnet, Matrix, rvest, shiny, xml2
Scrape season results, estimate win probabilities, and find a
competitive bracket for your office pool. Additional utilities include:
scraping population picks; simulating tournament results; and testing your
bracket in simulation.
Eli Shayer [aut, cre],
Scott Powers [aut]