DChaos swMATH ID: 39837 Software Authors: Julio E. Sandubete, Lorenzo Escot Description: R package DChaos: Chaotic Time Series Analysis. Chaos theory has been hailed as a revolution of thoughts and attracting ever increasing attention of many scientists from diverse disciplines. Chaotic systems are nonlinear deterministic dynamic systems which can behave like an erratic and apparently random motion. A relevant field inside chaos theory and nonlinear time series analysis is the detection of a chaotic behaviour from empirical time series data. One of the main features of chaos is the well known initial value sensitivity property. Methods and techniques related to test the hypothesis of chaos try to quantify the initial value sensitive property estimating the Lyapunov exponents. The DChaos package provides different useful tools and efficient algorithms which test robustly the hypothesis of chaos based on the Lyapunov exponent in order to know if the data generating process behind time series behave chaotically or not. Homepage: https://cran.r-project.org/web/packages/DChaos/index.html Source Code: https://github.com/cran/DChaos Dependencies: R Related Software: TISEAN; XPPAUT; AUTO-07P Cited in: 3 Publications all top 5 Cited by 7 Authors 2 Escot, Lorenzo 2 Sandubete, Julio E. 1 Brown, Robert Grover 1 Fatoyinbo, Hammed Olawale 1 Pietrych, Lukasz 1 Simpson, David John Warwick 1 van Brunt, Bruce Cited in 3 Serials 1 Bulletin of Mathematical Biology 1 Chaos, Solitons and Fractals 1 Communications in Nonlinear Science and Numerical Simulation Cited in 5 Fields 2 Game theory, economics, finance, and other social and behavioral sciences (91-XX) 1 Partial differential equations (35-XX) 1 Dynamical systems and ergodic theory (37-XX) 1 Statistics (62-XX) 1 Biology and other natural sciences (92-XX) Citations by Year