famos.run

<p>The data shows the performance of the FAMoS over the course of 8 iterations.</p>

datasets

Given a set of parameters describing model dynamics and a corresponding cost function,
FAMoS performs a dynamic forward-backward model selection on a specified selection
criterion. It also applies a non-local swap search method. Works on any cost function.
For detailed information see Gabel et al. (2019) <doi:10.1371/journal.pcbi.1007230>.

Michael Gabel

FAMoS

A Flexible Algorithm for Model Selection

Tobias Hohl

famos.run function

<p>A matrix with 7 rows and 17 columns</p>

famos.run: FAMoS performance test run

Description

Usage

Arguments

Format