{ "_id": "6ac8ba21de46216d5edd62c2", "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\nstability in ecological systems without static equilibria\" by\nClark et al. (2022) in Ecosphere. These\ncan be used to estimate the parameters of a stochastic state\nspace model (i.e. a model where a time series is observed with\nerror). The goal of this package is to estimate the variability\naround a deterministic process, both in terms of observation\nerror - i.e. variability due to imperfect observations that\ndoes not influence system state - and in terms of process noise\n- i.e. stochastic variation in the actual state of the process.\nUnlike classical methods for estimating variability, this\npackage does not necessarily assume that the deterministic\nstate is fixed (i.e. a fixed-point equilibrium), meaning that\nvariability around a dynamic trajectory can be estimated (e.g.\nstochastic fluctuations during predator-prey dynamics).", "License": "GPL-3", "Encoding": "UTF-8", "LazyData": "true", "RoxygenNote": "7.2.3", "Collate": "'bayesfun.R' 'data.R' 'fake_data.R' 'logit_funs.R'\n'particlefilter.R' 'pttstability_man.R' 'smapping_functions.R'", "NeedsCompilation": "no", "Author": "Adam Clark [aut, cre] ()", "Maintainer": "Adam Clark ", "Packaged": { "Date": "2026-10-09 09:31:38 UTC", "User": "root" }, 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