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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 |
DOI: | 10.32614/CRAN.package.pttstability |
Author: | Adam Clark [aut, cre] |
Maintainer: | Adam Clark <adam.tclark at gmail.com> |
License: | GPL-3 |
NeedsCompilation: | no |
CRAN checks: | pttstability results |
Reference manual: | pttstability.pdf |
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, r-oldrel (x86_64): pttstability_1.4.tgz |
Old sources: | pttstability archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.