carfima (2.0.1)

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Continuous-Time Fractionally Integrated ARMA Process for Irregularly Spaced Long-Memory Time Series Data.

http://cran.r-project.org/web/packages/carfima

We provide a toolbox to fit a continuous-time fractionally integrated ARMA process (CARFIMA) on univariate and irregularly spaced time series data via frequentist or Bayesian machinery. A general-order CARFIMA(p, H, q) model for p>q is specified in Tsai and Chan (2005) and it involves (p+q+2) unknown model parameters, i.e., p AR parameters, q MA parameters, Hurst parameter H, and process uncertainty (standard deviation) sigma. The package produces their maximum likelihood estimates and asymptotic uncertainties using a global optimizer called the differential evolution algorithm. It also produces their posterior distributions via Metropolis within a Gibbs sampler equipped with adaptive Markov chain Monte Carlo for posterior sampling. These fitting procedures, however, may produce numerical errors if p>2. The toolbox also contains a function to simulate discrete time series data from CARFIMA(p, H, q) process given the model parameters and observation times.

Maintainer: Kisung You
Author(s): Hyungsuk Tak [aut] (<https://orcid.org/0000-0003-0334-8742>), Henghsiu Tsai [aut], Kisung You [aut, cre] (<https://orcid.org/0000-0002-8584-459X>)

License: GPL-2

Uses: cubature, DEoptim, invgamma, MASS, numDeriv, Rcpp, Rdpack, truncnorm

Released 3 months ago.


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