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) <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).
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] (<https://orcid.org/0000-0002-8843-3278>)
Maintainer: Adam Clark <adam.tclark@gmail.com>
Repository: CRAN
Packaged: 2024-01-09 14:41:38 UTC; aclark
Date/Publication: 2024-01-09 15:00:02 UTC
Built: R 4.6.0; ; 2026-04-25 21:24:13 UTC; unix
