Software

The materials on this website (including, without limitation, all software) is publically available on the internet and provided as is and without warranties of any kind either expressed or implied.

These codes and links were assembled by Ximing Wu ( xwu@tamu.edu).

  • Entropy based inference and nonparametric test (R codes by by Jeff Racine); Link
  • Maximum Entropy Density and Generalized Maximum Entropy Estimation (Matlab codes by Ximing Wu); Link
  • Generalized Empirical Likelihood (R codes by Pierre Chausse); Link
  • Entropy Optimization Distributions (R "minxent"); Link
  • Estimation of Entropy, Mutual Information and Related Quantities (R package "entropy"); Link
  • Maximum Entropy Bootstrap for Time Series (R package "meboot"); Link
  • Information theoretic measures (R package "infotheo"); Link
  • Multiple Break-Point Detection via the Cross-Entropy Method (R package "breakpoint" by); Link
  • Cross-Entropy Clustering (R package "CEC"); Link
  • Cross-Entropy R Package for Optimization (R package "CEoptim"); Link
  • Goodness-of-fit and two sample comparison tests using sample entropy (R package "dbEmpLikeGOF"); Link
  • Entropy reweighting to create balanced samples (R package "ebal"); Link
  • Maximum Entropy Sampling (R package "edesign"); Link
  • Entropy Minimization over Variable Clusters (R package "EMVC"); Link
  • Estimation of Entropy and Related Quantities (R package "EntropyEstimation"); Link
  • Fitting and Plotting Tools for the Maximum Entropy Theory of Ecology (METE) (R package "meteR"); Link
  • Compute Relative Entropy (R package "relen"); Link
  • The Transfer Entropy Package (R package "TransEntropy"); Link
  • Entropy Based Analysis and Tests for Time Series (R package "tseriesEntropy"); Link

Updated June 7, 2017