R: Detecting Influence Paths with Information Theory

# Detecting Influence Paths with Information Theory

## Documentation for package ‘vistla’ version 2.1.2

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS

## Help Pages

as.data.frame.vistla | Extract all branches of the Vistla tree
branches | Extract all branches of the Vistla tree
cchain | Synthetic continuous data representing a simple mediator chain
chain | Synthetic data representing a simple mediator chain
collapse | Collapse the vistla tree into a pairwise graph
ensemble | Construct the value for the ensemble argument
flow | Construct the value for the flow argument
hierarchy | Extract the vertex hierarchy from the vistla tree
junction | Synthetic data representing a junction
mi_scores | Extract mutual information score matrix
mle_coerce | Basic discretisation of numerical features
paths | List all paths
path_to | Extract a single path
plot.vistla | Overview plot of the vistla tree
plot.vistla_plot | Overview plot of the vistla tree
print.vistla | Print vistla objects
print.vistla_ensemble_control | Construct the value for the ensemble argument
print.vistla_flow | Construct the value for the flow argument
print.vistla_hierarchy | Print vistla objects
print.vistla_plot | Overview plot of the vistla tree
prune | Prune the vistla tree
vistla | Influence path identification with the Vistla algorithm
vistla.data.frame | Influence path identification with the Vistla algorithm
vistla.default | Influence path identification with the Vistla algorithm
vistla.formula | Influence path identification with the Vistla algorithm
write.dot | Export tree to a Graphviz DOT format