Contains, among other, minimum redundancy maximal relevancy ('mRMR') method by Peng, Long and Ding (2005) <doi:10.1109/TPAMI.2005.159>; joint mutual information ('JMI') method by Yang and Moody (1999) <https://papers.nips.cc/paper/1779-data-visualization-and-feature-selection-new-algorithms-for-nongaussian-data>; double input symmetrical relevance ('DISR') method by Meyer and Bontempi (2006) <doi:10.1007/11732242_9> as well as joint mutual information maximisation ('JMIM') method by Bennasar, Hicks and Setchi (2015) <doi:10.1016/j.eswa.2015.07.007>.

Title: Tools for Information-Based Feature Selection
Description: A toolbox of fast, native and parallel implementations of various information-based importance criteria estimators and feature selection filters based on them, inspired by the overview by Brown, Pocock, Zhao and Lujan (2012) <http://www.jmlr.org/papers/v13/brown12a.html>.
Contains, among other, minimum redundancy maximal relevancy ('mRMR') method by Peng, Long and Ding (2005) <doi:10.1109/TPAMI.2005.159>; joint mutual information ('JMI') method by Yang and Moody (1999) <http://papers.nips.cc/paper/1779-data-visualization-and-feature-selection-new-algorithms-for-nongaussian-data>; double input symmetrical relevance ('DISR') method by Meyer and Bontempi  (2006) <doi:10.1007/11732242_9> as well as joint mutual information maximisation ('JMIM') method by Bennasar, Hicks and Setchi (2015) <doi:10.1016/j.eswa.2015.07.007>.

Description: Estimation, prediction and testing for analyzing serial dilution assay data using paired response curve.

Description: Estimation, prediction and testing for analyzing serial dilution assay data (Fong and Yu 2015 <DOI:10.1080/19466315.2015.1093019>) using paired response curve, which is a model of the nonlinear functional relationship between experimental outcomes measured at two different dilutions.

Title: Testing Workbench for Precision-Recall Curves
person("Takaya", "Saito", email = "takaya.saito@outlook.com", role = c("aut", "cre")),
person("Marc", "Rehmsmeier", email = "marc.rehmsmeier@ii.uib.no", role = c("aut")))
Description: A testing workbench for evaluating Precision-Recall curves under various conditions.
Imports: ROCR (>= 1.0-7), PRROC (>= 1.1), PerfMeas (>= 1.2.1), precrec
microbenchmark (>= 1.4-2.1), grid (>= 3.2.3), gridExtra (>=
Suggests: testthat (>= 0.11.0), knitr (>= 1.11), rmarkdown (>= 0.8.1)