Package: pttstability Title: Particle-Takens Stability Version: 1.4 Authors@R: person("Adam", "Clark", email = "adam.tclark@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-8843-3278")) 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). Depends: R (>= 3.4) Imports: graphics, stats Suggests: BayesianTools License: GPL-3 Encoding: UTF-8 LazyData: true RoxygenNote: 7.2.3 Collate: 'bayesfun.R' 'data.R' 'fake_data.R' 'logit_funs.R' 'particlefilter.R' 'pttstability_man.R' 'smapping_functions.R' NeedsCompilation: no Author: Adam Clark [aut, cre] () Maintainer: Adam Clark Packaged: 2026-10-09 09:31:38 UTC; root Repository: https://adamtclark.r-universe.dev Date/Publication: 2024-01-10 02:44:55 UTC RemoteUrl: https://github.com/cran/pttstability RemoteRef: HEAD RemoteSha: 01a8e46af84e0c2c3ce4b58b9237cc8439347019