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pttstability
View on CRAN: Click
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Download and install pttstability package within the R console
Install from CRAN:
install.packages("pttstability")
Install from Github:
library("remotes")
install_github("cran/pttstability")
Install by package version:
library("remotes")
install_version("pttstability", "1.4")
Attach the package and use:
library("pttstability")
Maintained by
Adam Clark
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[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-01-09
Latest Update: 2024-01-09
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).
How to cite:
Adam Clark (2023). pttstability: Particle-Takens Stability. R package version 1.4, https://cran.r-project.org/web/packages/pttstability. Accessed 07 Nov. 2024.
Previous versions and publish date:
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imports, suggests or enhances
Complete documentation for pttstability
Functions, R codes and Examples using
the pttstability R package
Some associated functions: EDMfun0 . S_map_Sugihara1994 . colfun0 . dat . density_fun0 . detfun0 . detfun0_sin . getcm . ilogit . indexsort . inv_fun0 . likelihood0 . likelihood_EDM_piecewise . logit . logitnormal_imode . lognormal_imode . makeblock . makedynamics_general . obsfun0 . parseparam0 . particleFilterLL . particleFilterLL_piecewise . process_scof . procfun0 . procfun_ct . pttstability . sampler_fun0 . sdproc_abstract .
Some associated R codes: bayesfun.R . data.R . fake_data.R . logit_funs.R . particlefilter.R . pttstability_man.R . smapping_functions.R . Full pttstability package functions and examples
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