lognormal_imode

Returns a mean for a lognormal such that the mode will be centered around mu

optimization

MCMC

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

lognormal_imode function

<dl><dt>mu</dt>
<dd>the value around which the mode should be centered (in log space)</dd>
<dt>sd</dt>
<dd>the standard deviation of the lognormal distribution (in log space)</dd></dl>

Arguments

Get inverse log-normal mode — lognormal_imode

<dl>

<dt>mu</dt>
<dd>the value around which the mode should be centered (in log space)</dd>


<dt>sd</dt>
<dd>the standard deviation of the lognormal distribution (in log space)</dd>

</dl>

lognormal_imode: Get inverse log-normal mode

Description

Usage

Value

Arguments