## pttstability: Particle-Takens Stability

Includes a collection of functions presented in "Measuring stability in ecological systems without static equilibria" by Clark et al. (2022) <doi:10.1002/ecs2.4328> in Ecosphere.
These can be used to estimate the parameters of a stochastic state space model (i.e. a model where
a time series is observed with error). The goal of this package is to estimate the variability
around a deterministic process, both in terms of observation error - i.e. variability due to
imperfect observations that does not influence system state - and in terms of process noise - i.e.
stochastic variation in the actual state of the process. Unlike classical methods for estimating
variability, this package does not necessarily assume that the deterministic state is fixed (i.e.
a fixed-point equilibrium), meaning that variability around a dynamic trajectory can be estimated
(e.g. stochastic fluctuations during predator-prey dynamics).

Version: |
1.1 |

Depends: |
R (≥ 3.4) |

Imports: |
graphics, stats, rEDM (≥ 1.7.0) |

Published: |
2023-01-09 |

Author: |
Adam Clark [aut,
cre] |

Maintainer: |
Adam Clark <adam.tclark at gmail.com> |

License: |
GPL-3 |

NeedsCompilation: |
no |

CRAN checks: |
pttstability results |

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