• CDNA

  • Referenced in 9 articles [sw37103]
  • CDNA Program for Statistical Modeling (Compression/Entropy Estimation) of Natural DNA Sequences. This is the software ... results reported in Significantly lower entropy estimates for natural DNA sequences . Its purpose ... Maximization). Our focus in Significantly lower entropy estimates for natural DNA sequences is to better...
  • minet

  • Referenced in 7 articles [sw08432]
  • gene-to-gene interaction. Four different entropy estimators are made available in the package minet...
  • npeet

  • Referenced in 2 articles [sw14336]
  • Parametric Entropy Estimation Toolbox (NPEET). This package contains Python code implementing several entropy estimation functions ... structure in complex systems, but difficulties in estimating these quantities has traditionally made these techniques ... making modern state-of-the-art entropy estimation methods accessible in a single easy ... that numpy/scipy be installed. It includes estimators for entropy, mutual information, and conditional mutual information...
  • copent

  • Referenced in 1 article [sw33918]
  • package copent: Estimating Copula Entropy. The nonparametric method for estimating copula entropy is implemented ... empirical copula by rank statistic and estimating copula entropy with k-Nearest-Neighbour method. Copula ... equivalent to mutual information. Estimating copula entropy can be applied to many cases, including ... variable selection and causal discovery (by estimating transfer entropy). Please refer...
  • pcme

  • Referenced in 2 articles [sw32705]
  • packagepcme: A package for maximum entropy estimation of periodically correlated processes...
  • MeddeR

  • Referenced in 1 article [sw27875]
  • MeddeR: Maximum Entropy Deregularized Density Estimation in R. Quasi-Concave Density Estimation: Maximum likelihood estimation ... entropy problem. Closely related maximum Renyi entropy estimators that impose weaker concavity restrictions...
  • MuTE

  • Referenced in 6 articles [sw19722]
  • compare established and novel estimators of the multivariate transfer entropy. A challenge for physiologists...
  • vsgoftest

  • Referenced in 1 article [sw36707]
  • provided to estimate differential Shannon entropy, i.e., estimate Shannon entropy of real random variables with...
  • ITE

  • Referenced in 5 articles [sw12811]
  • that is capable of estimating many different variants of entropy, mutual information, divergence, association measures ... supports additionally (i) the combinations of the estimation techniques, (ii) the easy construction and embedding...
  • PETROPY

  • Referenced in 6 articles [sw19596]
  • Systems: PETROPY. Permutation entropy provides a simple and robust method to estimate complexity of time ... values into account. Furthermore, permutation entropy can be used to determine embedding parameters or identify...
  • EntropyEstimation

  • Referenced in 1 article [sw24141]
  • package EntropyEstimation: Estimation of Entropy and Related Quantities. Contains methods for the estimation of Shannon ... entropy, mutual information, Kullback-Leibler divergence, and generalized Simpson’s indices. The estimators used have...
  • TRENTOOL

  • Referenced in 5 articles [sw19721]
  • TRENTOOL (TRansfer ENtropy TOOLbox) is an open source GPLv3 Matlab® toolbox for the analysis ... friendly routines for the estimation and statistical testing of transfer entropy in time series data...
  • JIDT

  • Referenced in 9 articles [sw23550]
  • entropy, etc; for both discrete and continuous-valued data; using various types of estimators...
  • TransferEntropy

  • Referenced in 0 articles [sw15134]
  • TransferEntropy: The Transfer Entropy Package. Estimates the transfer entropy from one time series to another ... consists of continuous random variables. The transfer entropy is an extension of mutual information which ... Markov model. Two estimation methods are provided. The first calculates transfer entropy as the difference ... package references). The second estimation method estimate transfer entropy via the a generalized correlation...
  • LeakWatch

  • Referenced in 3 articles [sw30239]
  • statistical techniques to provide estimates, with confidence intervals, for min-entropy leakage (using ... demonstrate how LeakWatch can be used to estimate the size of information leaks...
  • IDTxl

  • Referenced in 4 articles [sw25603]
  • functionality to estimate the following measures: 1) For network inference: multivariate transfer entropy (TE)/Granger ... partial information decomposition (PID); IDTxl implements estimators for discrete and continuous data with parallel computing...
  • parmigene

  • Referenced in 0 articles [sw27758]
  • mutual information based on entropy estimates from k-nearest neighbors distances and algorithms...
  • infotheo

  • Referenced in 0 articles [sw36715]
  • information theory based on several entropy estimators...
  • CEoptim

  • Referenced in 2 articles [sw19770]
  • optimization, based on Kullback-Leibler (or cross-entropy) minimization. The method can be applied ... model fitting, combinatorial optimization, and maximum likelihood estimation...