• R

  • Referenced in 9188 articles [sw00771]
  • statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering, ...) and graphical...
  • CRAN

  • Referenced in 522 articles [sw04351]
  • graphical techniques: linear and nonlinear modelling, statistical tests, time series analysis, classification, clustering, etc. Please...
  • TISEAN

  • Referenced in 165 articles [sw00967]
  • implementation of methods of nonlinear time series analysis which are based on the paradigm ... noise reduction, dimension and Lyapunov estimation, and nonlinearity testing are discussed with particular emphasis...
  • LIMDEP

  • Referenced in 77 articles [sw04925]
  • estimation and analysis of linear and nonlinear models, with cross section, time series and panel ... analysis and has provided many recent innovations including cutting edge techniques in panel data analysis ... single and multiple equation linear and nonlinear models. LIMDEP is a true state...
  • bootlib

  • Referenced in 408 articles [sw40642]
  • methods are computer-intensive methods of statistical analysis using simulation to obtain reliable standard errors ... models, generalized linear models and nonlinear models, and time series, spatial data and point processes...
  • pyunicorn

  • Referenced in 8 articles [sw19314]
  • Unified functional network and nonlinear time series analysis for complex systems science: The pyunicorn package ... from complex network theory and nonlinear time series analysis. exttt{pyunicorn} is a fully object ... interrelationships in large data sets of time series and, subsequently, investigating this structure using advanced ... nonlinear dynamics of complex systems as recorded in uni- and multivariate time series from...
  • nonlinearTseries

  • Referenced in 4 articles [sw29817]
  • package nonlinearTseries: Nonlinear Time Series Analysis. Functions for nonlinear time series analysis. This package permits ... Lyapunov exponent, sample entropy and Recurrence Quantification Analysis (RQA), among others. Basic routines for surrogate ... based on the book ”Nonlinear time series analysis” by Holger Kantz and Thomas Schreiber (ISBN...
  • tseriesChaos

  • Referenced in 4 articles [sw26027]
  • package tseriesChaos: Analysis of nonlinear time series. Routines for the analysis of nonlinear time series...
  • TSTOOL

  • Referenced in 2 articles [sw15324]
  • TSTOOL - a software package for nonlinear time series analysis. TSTOOL can be used for computing ... tests; Nearest neighbor statistics; Return times; Poincare sections; Nonlinear prediction...
  • DChaos

  • Referenced in 1 article [sw39837]
  • package DChaos: Chaotic Time Series Analysis. Chaos theory has been hailed as a revolution ... scientists from diverse disciplines. Chaotic systems are nonlinear deterministic dynamic systems which can behave like ... field inside chaos theory and nonlinear time series analysis is the detection of a chaotic...
  • MATS

  • Referenced in 5 articles [sw10542]
  • Analysis of Time Series (MATS): A MATLAB Toolkit for Computation of Multiple Measures on Time ... Series Data Bases. In many applications, such as physiology and finance, large time series data ... analyzed requiring the computation of linear, nonlinear and other measures. Such measures have been developed ... independently. The Measures of Analysis of Time Series (MATS) MATLAB toolkit is designed to handle...
  • Statistix

  • Referenced in 3 articles [sw17939]
  • ANOVA), nonlinear regression, nonparametric tests, time series, association tests, survival analysis, quality control, power analysis...
  • E&F Chaos

  • Referenced in 16 articles [sw00233]
  • standard numerical simulation techniques such as time series, phase plots, bifurcation diagrams, Lyapunov exponent plots ... graphical analysis.The package contains many well-known nonlinear models, including applications in economics and finance ... formulating challenging research questions for further mathematical analysis...
  • STARPAC

  • Referenced in 1 article [sw04330]
  • Time Series and Regression Package, is a library of Fortran subroutines for statistical data analysis ... families of subroutines for nonlinear least squares regression, time series analysis (in both time...
  • RHRV

  • Referenced in 4 articles [sw21454]
  • package RHRV: Heart Rate Variability Analysis of ECG Data. Allows users to import data files ... time series, to plot HRV data, and to perform time domain, frequency domain and nonlinear ... analysis...
  • VRA

  • Referenced in 3 articles [sw14986]
  • analysis, qualitative and quantitative assessment, and nonparametric prediction of nonlinear and chaotic time series. Features...
  • SSPTSmethods

  • Referenced in 7 articles [sw38981]
  • preserving analysis for explicit multistage two-derivative time-stepping schemes based on Taylor series conditions ... stability preserving (SSP) time discretizations are often needed to ensure the nonlinear (and sometimes...
  • WeightedPortTest

  • Referenced in 12 articles [sw12429]
  • Weighted Portmanteau Statistics for Time Series Goodness-of-Fit Testing’ accepted for publication ... exploit ideas from high-dimensional data analysis to derive new portmanteau tests that are based ... proposed tests are modified to check for nonlinearity and to check the adequacy...
  • NESToolbox

  • Referenced in 4 articles [sw19592]
  • functions for linear and nonlinear similarity estimation for irregular time series, which are based ... used in most standard time series analysis, cannot be performed for irregular time series directly ... substitute for time differences. The conventional approach, interpolation of the time series to regular grid ... Gaussian-kernel-based cross correlation [1], the nonlinear Gaussian-kernel-based mutual information...
  • Extended-GC

  • Referenced in 1 article [sw38880]
  • nonlinear extension of the GC analysis, i.e., the extended GC analysis, to the voltage time ... series obtained by evolving the HH neuronal network. In addition, we add a certain amount ... measurement or observational noise to the time series to take into account the realistic situation ... extended GC analysis could in principle be applied to any nonlinear dynamical system as long...