To find the certainty of dominance interactions with indirect
interactions being considered.

c(person("Kevin", "Fujii", email = "kevfujii@gmail.com", role = "aut"),
person("Jian", "Jin", email = "jinjian.pku@gmail.com", role = "aut"),
person("Jessica", "Vandeleest", email = "vandelee@ucdavis.edu", role = c("aut","cre")),
person("Aaron", "Shev", email = "abshev@ucdavis.edu", role = "aut"),
person("Brianne", "Beisner", role = "aut"),
person("Brenda", "McCowan", role = c("aut", "cph")),
person("Hsieh", "Fushing", role = c("aut", "cph")))
Kevin Fujii [aut],
Jian Jin [aut],
Jessica Vandeleest [aut, cre],
Aaron Shev [aut],
Brianne Beisner [aut],
Brenda McCowan [aut, cph],
Hsieh Fushing [aut, cph]

testthat, knitr, rmarkdown, devtools, reshape2, lattice

PerfMeas: Performance Measures for ranking and classification
tasks
Package that implements different performance measures for classification and ranking tasks. AUC, precision at a given recall, F-score for single and multiple classes are available.

Package that implements different performance measures for
classification and ranking tasks. AUC, precision at a given
recall, F-score for single and multiple classes are available.

Performance Measures for Ranking and Classification Tasks
Implementation of different performance measures for classification and ranking tasks  including  Area Under the Receiving Characteristic Curve (AUROC) and Area Under the Precision Recall Curve (AUPRC), precision at a given recall, F-score for single and multiple classes.

Econometric tools for performance and risk analysis.
Library of econometric functions for performance and risk analysis. This library aims to aid practitioners and researchers in utilizing the latest research in analysis of non-normal return streams.  In general, this library is most tested on return (rather than price) data on a monthly scale, but most functions will work with daily or irregular return data as well.
R (>= 2.4.0), fExtremes, fPortfolio, quadprog, tseries, Hmisc

R (>= 2.4.0), zoo, MASS, fBasics, Hmisc, tseries, fPortfolio