Package: pttstability 1.4

pttstability: Particle-Takens Stability

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).

Authors:Adam Clark [aut, cre]

pttstability_1.4.tar.gz
pttstability_1.4.zip(r-4.5)pttstability_1.4.zip(r-4.4)pttstability_1.4.zip(r-4.3)
pttstability_1.4.tgz(r-4.4-any)pttstability_1.4.tgz(r-4.3-any)
pttstability_1.4.tar.gz(r-4.5-noble)pttstability_1.4.tar.gz(r-4.4-noble)
pttstability_1.4.tgz(r-4.4-emscripten)pttstability_1.4.tgz(r-4.3-emscripten)
pttstability.pdf |pttstability.html✨
pttstability/json (API)

Peer review:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

26 exports 0.36 score 0 dependencies 217 downloads

Last updated 8 months agofrom:01a8e46af8. Checks:OK: 7. Indexed: yes.

Exports:colfun0density_fun0detfun0detfun0_sinEDMfun0getcmilogitindexsortinv_fun0likelihood_EDM_piecewiselikelihood0logitlogitnormal_imodelognormal_imodemakeblockmakedynamics_generalobsfun0parseparam0particleFilterLLparticleFilterLL_piecewiseprocess_scofprocfun_ctprocfun0S_map_Sugihara1994sampler_fun0sdproc_abstract

Dependencies: