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cts: Continuous Time Autoregressive Models
Provides tools for fitting continuous-time autoregressive (CAR) and complex CAR (CZAR) models for irregularly sampled time series using an exact Gaussian state-space formulation and Kalman filtering/smoothing. Implements maximum-likelihood estimation with stable parameterizations of characteristic roots, model selection via AIC, residual and spectral diagnostics, forecasting and simulation, and extraction of fitted state estimates. Methods are described in Wang (2013) <doi:10.18637/jss.v053.i05>.
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Package details |
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| Author | Granville Tunnicliffe-Wilson [aut], Zhu Wang [aut, cre], Cleve Moler [ctb, cph], Jack Dongarra [ctb, cph], Jim Bunch [ctb, cph], G. W. Stewart [ctb, cph], John Nash [ctb] |
| Maintainer | Zhu Wang <zwang145@uthsc.edu> |
| License | GPL (>= 2) |
| Version | 1.0-26 |
| Package repository | View on CRAN |
| Installation |
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