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>.

Version: 1.0-24
Suggests: R.rsp
Published: 2026-03-17
DOI: 10.32614/CRAN.package.cts
Author: Granville Tunnicliffe-Wilson [aut] (Fortran code), Zhu Wang [cre, aut] (Fortran code, R port, updates, and maintainer), Cleve Moler [ctb, cph] (LINPACK routines in src/d*), Jack Dongarra [ctb, cph] (LINPACK routines via Netlib), Jim Bunch [ctb, cph] (LINPACK routines), G. W. Stewart [ctb, cph] (LINPACK routines), John Nash [ctb]
Maintainer: Zhu Wang <zwang145 at uthsc.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
Copyright: see file COPYRIGHTS
NeedsCompilation: yes
Citation: cts citation info
Materials: README, NEWS
CRAN checks: cts results

Documentation:

Reference manual: cts.html , cts.pdf
Vignettes: An Introduction to cts (source)

Downloads:

Package source: cts_1.0-24.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available
Old sources: cts archive

Linking:

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