Particle-Takens Stability
Overview
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).
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK13 OK2026-06-09
- WARNING12 OK, 1 WARNING2026-06-08
- OK14 OK2026-03-10
Documentation
- Help pages
- 28 (1 internal)includes a package overview page
- Examples that run
- 100%4 run in a plain check
- Exported functions with examples
- 12%
- Documented parameters
- 96%
- Return-value docs
- 100%
- Help pages citing references
- 0%
Downloads
Dependencies
Installing pttstability adds no packages beyond those that come with R.
Code & Tests
Datasets
People & History
Package metadata
- First published
- 2023-01-09
- Total releases
- 4 / 3 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 3.4
- Bundled data
- 7.6 KB / 1 file
- Download size
- 38 KB
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