ilogit

Returns the inverse logit transformation of x

logit

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

ilogit function

<dl><dt>x</dt>
<dd>a number, vector, matrix, etc. to be transformed from (-inf, inf) to (0 1) by the inverse logit transform</dd>
<dt>...</dt>
<dd>additional arguments to be passed to plogis</dd></dl>

Arguments

Inverse logit — ilogit

<dl>

<dt>x</dt>
<dd>a number, vector, matrix, etc. to be transformed from (-inf, inf) to (0 1) by the inverse logit transform</dd>


<dt>...</dt>
<dd>additional arguments to be passed to plogis</dd>

</dl>

ilogit: Inverse logit

Description

Usage

Value

Arguments