R: Measuring Information Flow Between Time Series with Shannon and Renyi Transfer Entropy

# Measuring Information Flow Between Time Series with Shannon and Renyi Transfer Entropy

## Documentation for package ‘RTransferEntropy’ version 0.2.21

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

## Help Pages

calc_ete | Calculates the Effective Transfer Entropy for two time series
calc_te | Calculates the Transfer Entropy for two time series
coef.transfer_entropy | Extract the Coefficient Matrix from a transfer_entropy
is.transfer_entropy | Checks if an object is a transfer_entropy
print.transfer_entropy | Prints a transfer-entropy result
set_quiet | Set the quiet-parameter for all RTransferEntropy Calls
stocks | Daily stock data for 10 stocks from 2000-2017
summary.transfer_entropy | Prints a summary of a transfer-entropy result
transfer_entropy | Function to estimate Shannon and Renyi transfer entropy between two time series x and y.