inv_fun0

Takes in a matrix, where each column represents a parameter. Returns parameters in untransformed space.
If length = 2, then in the order (obs1, proc1).
If 3, then in the order (obs1, proc1, proc2).
If 4, then in the order (obs1, obs2, proc1, proc2).
If 6, then in the order (obs1, proc1, pcol1, pcol2, det1, det2)
If 7, then in the order (obs1, proc1, proc2, pcol1, pcol2, det1, det2)
If 8, then in the order (obs1, obs2, proc1, proc2, pcol1, pcol2, det1, det2)

optimization

time-series

MCMC

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).

Adam Clark

pttstability

Particle-Takens Stability

inv_fun0 function

<dl><dt>x</dt>
<dd>an nxm matrix with</dd></dl>

Arguments

Default inverse transormation function — inv_fun0

<dl>

<dt>x</dt>
<dd>an nxm matrix with</dd>

</dl>

inv_fun0: Default inverse transormation function

Description

Usage

Value

Arguments