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Info-Metrics Institute | Software

DISCLAIMER: THE MATERIALS ON THIS WEB SITE (INCLUDING, WITHOUT LIMITATION, ALL SOFTWARE) PUBLICALY AVAIBLE ON THE INTERNET; THEY ARE 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