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: 1.4
Depends: R (≥ 3.4)
Imports: graphics, stats
Suggests: BayesianTools
Published: 2024-01-09
Author: Adam Clark ORCID iD [aut, cre]
Maintainer: Adam Clark <adam.tclark at gmail.com>
License: GPL-3
NeedsCompilation: no
CRAN checks: pttstability results

Documentation:

Reference manual: pttstability.pdf

Downloads:

Package source: pttstability_1.4.tar.gz
Windows binaries: r-devel: pttstability_1.4.zip, r-release: pttstability_1.4.zip, r-oldrel: pttstability_1.4.zip
macOS binaries: r-release (arm64): pttstability_1.4.tgz, r-oldrel (arm64): pttstability_1.4.tgz, r-release (x86_64): pttstability_1.4.tgz
Old sources: pttstability archive

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