minerva: Maximal Information-Based Nonparametric Exploration for Variable Analysis

Canonical link: https://rscholar.com/pkg/minerva

Michele Filosi • Roberto Visintainer • Davide Albanese • Samantha Riccadonna • Giuseppe Jurman • Cesare Furlanello • View description and downloads View dependencies GitHub project

2012 Published

1.5.10 Version

0 Citations

6 Authors

Referenced by ⇅	Year
KODAMA: Knowledge Discovery by Accuracy Maximization (Version 2.4.1)	2014
autoBagging: Learning to Rank Bagging Workflows with Metalearning (Version 0.1.0)	2017
bullseye: Visualising Multiple Pairwise Variable Correlations and Other Scores (Version 0.1.0)	2024
foodingraph: Food Network Inference and Visualization (Version 0.1.0)	2019
linkspotter: Bivariate Correlations Calculation and Visualization (Version 1.3.0)	2018
metrica: Prediction Performance Metrics (Version 2.1.0)	2022
randomForestVIP: Tune Random Forests Based on Variable Importance & Plot Results (Version 0.1.3)	2023
stops: Structure Optimized Proximity Scaling (Version 1.8-2)	2023
testforDEP: Dependence Tests for Two Variables (Version 0.2.0)	2017

RPKG Scholar presents a tabulation of an author's contribution in the development of R packages stored in the Comprehensive R Archive Network (CRAN). Within this site, we consider package dependencies (suggests,imports,depends,enhances) as citations because we believe that using one's package to develop another is tantamount to citing the author of the package being imported, suggested or enhanced.