Man pages for triplot
Explaining Correlated Features in Machine Learning Models

aspect_importanceCalculates importance of variable groups (called aspects) for...
aspect_importance_singleAspects importance for single aspects
calculate_triplotCalculate triplot that sums up automatic aspect/feature...
cluster_variablesCreates a cluster tree from numeric features
get_sampleFunction for getting binary matrix
group_variablesHelper function that combines clustering variables and...
hierarchical_importanceCalculates importance of hierarchically grouped aspects
list_variablesCuts tree at custom height and returns a list
plot.aspect_importanceFunction for plotting aspect_importance results
plot.cluster_variablesPlots tree with correlation values
plot.triplotPlots triplot
print.aspect_importanceFunction for printing aspect_importance results
triplot documentation built on July 13, 2020, 5:08 p.m.