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mean_kernel

Mean kernels for stochastic models


Description

This function computes mean sub-kernels for stochastic parameter re-sampled and stochastic kernel re-sampled models.

Usage

mean_kernel(ipm)

Arguments

ipm

A stochastic model created by make_ipm().

Details

For *_stoch_kern models, this computes the element-wise mean for each sub-kernel across all the different levels of levels_hier_effs. For partially hierarchical models, sub-kernels that do not have time- or space-varying components are included in the output and are identical to their input.

For *_stoch_param models, this computes the element-wise mean for each sub-kernel created by the iteration procedure.

Value

A list of mean sub-kernels for the model.


ipmr

Fits Integral Projection Models Using an Expression Based Framework

v0.0.1
MIT + file LICENSE
Authors
Sam Levin [aut, cre] (<https://orcid.org/0000-0002-3289-9925>), Aldo Compagnoni [aut], Dylan Childs [aut], Sanne Evers [aut], Roberto Salguero-Gomez [aut], Tiffany Knight [aut]
Initial release

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