Calculating and Visualizing ROC and PR Curves Across Multi-Class
Classifications
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>.

Functions for the Courses Multivariate Analysis and Computer
Intensive Methods
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")))
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.
Žiberna Aleš [aut],
Cugmas Marjan [cre, aut],
Torgo Luis [cph],
Ki-Yeol Kim [cph],
Gwan-Su Yi [cph],
Liaw Andy [cph],
Leisch Friedrich [cph]

Algorithms for performing joint parameter estimation in
astronomical survey data acquired in multiple bands.

Ana Belen Nieto Librero <ananieto@usal.es>, Nora Baccala
<norabaccala@gmail.com>, Purificacion Vicente Galindo
<purivg@usal.es>, Purificacion Galindo Villardon
<pgalindo@usal.es>
Provides a GUI with which users can construct and interact
with Multibiplot Analysis.

A GUI with which users can construct and interact
with Multibiplot Analysis and provides inferential results by using Bootstrap Methods.
rgl, tkrplot, tcltk, tcltk2, shapes, cluster, dendroextras,
Matrix