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:
pttstability_1.4.tar.gz
pttstability_1.4.zip(r-4.7)pttstability_1.4.zip(r-4.6)pttstability_1.4.zip(r-4.5)
pttstability_1.4.tgz(r-4.6-any)pttstability_1.4.tgz(r-4.5-any)
pttstability_1.4.tar.gz(r-4.7-any)pttstability_1.4.tar.gz(r-4.6-any)
pttstability_1.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
pttstability/json (API)
| # Install 'pttstability' in R: |
| install.packages('pttstability', repos = c('https://adamtclark.r-universe.dev', 'https://cloud.r-project.org')) |
- dat - Microcosm experimental data
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:01a8e46af8. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 143 | ||
| source / vignettes | OK | 190 | ||
| linux-release-x86_64 | OK | 134 | ||
| macos-release-arm64 | OK | 87 | ||
| macos-oldrel-arm64 | OK | 96 | ||
| windows-devel | OK | 103 | ||
| windows-release | OK | 102 | ||
| windows-oldrel | OK | 90 | ||
| wasm-release | OK | 110 |
Exports:colfun0density_fun0detfun0detfun0_sinEDMfun0getcmilogitindexsortinv_fun0likelihood_EDM_piecewiselikelihood0logitlogitnormal_imodelognormal_imodemakeblockmakedynamics_generalobsfun0parseparam0particleFilterLLparticleFilterLL_piecewiseprocess_scofprocfun_ctprocfun0S_map_Sugihara1994sampler_fun0sdproc_abstract
Dependencies:
