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pttstability  

Particle-Takens Stability
View on CRAN: Click here


Download and install pttstability package within the R console
Install from CRAN:
install.packages("pttstability")

Install from Github:
library("remotes")
install_github("cran/pttstability")

Install by package version:
library("remotes")
install_version("pttstability", "1.4")



Attach the package and use:
library("pttstability")
Maintained by
Adam Clark
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-01-09
Latest Update: 2024-01-09
Description:
Includes a collection of functions presented in "Measuring stability in ecological systems without static equilibria" by Clark et al. (2022) 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).
How to cite:
Adam Clark (2023). pttstability: Particle-Takens Stability. R package version 1.4, https://cran.r-project.org/web/packages/pttstability. Accessed 05 Jun. 2026.
Previous versions and publish date:
1.1 (2023-01-09 10:50), 1.2 (2023-10-22 10:20), 1.3 (2023-10-24 09:10)
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Complete documentation for pttstability
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