Title: Calculating and Visualizing ROC Curves Across Multi-Class
Authors@R: c(person("Runmin", "Wei", role = c("aut", "cre"), email = "runmin@hawaii.edu"),  person("Jingye", "Wang", role = "aut", email = "jingyew@hawaii.edu"), person("Wei", "Jia", role = "ctb", email = "wjia@cc.hawaii.edu"))
Description: Tools to solve real-world problems with multiple classes by computing the areas under ROC curve via micro-averaging and macro-averaging. The methodology is described in V. Van Asch (2013) <https://www.clips.uantwerpen.be/~vincent/pdf/microaverage.pdf> and Pedregosa et al. (2011) <http://scikit-learn.org/stable/auto_examples/model_selection/plot_roc.html>.

Title: Calculating and Visualizing ROC and PR Curves Across Multi-Class
Description: Tools to solve real-world problems with multiple classes classifications by computing the areas under ROC and PR curve via micro-averaging and macro-averaging. The vignettes of this package can be found via <https://github.com/WandeRum/multiROC>. The methodology is described in V. Van Asch (2013) <https://www.clips.uantwerpen.be/~vincent/pdf/microaverage.pdf> and Pedregosa et al. (2011) <http://scikit-learn.org/stable/auto_examples/model_selection/plot_roc.html>.

Title: Functions for the Courses Multivariate Analysis and Computer
Authors@R: c(person("Žiberna", "Aleš", email = "ales.ziberna@fdv.uni-lj.si", role = c("aut")), person("Cugmas", "Marjan", email = "marjan.cugmas@fdv.uni-lj.si", role = c("cre", "aut")), person("Torgo", "Luis", role = c("cph")), person("Ki-Yeol", "Kim", role = c("cph")), person("Gwan-Su", "Yi", role = c("cph")), person("Liaw", "Andy", role = c("cph")), person("Leisch", "Friedrich", role = c("cph")))
Description: Provides utility functions for multivariate analysis (factor analysis, discriminant analysis, and others). The package is primary written for the course Multivariate analysis and for the course Computer intensive methods at the masters program of Applied Statistics at University of Ljubljana.

Title: Period Estimation for Multiple Bands
Description: Algorithms for performing joint parameter estimation in
astronomical survey data acquired in multiple bands.