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 attempts to find the most suitable parameter subset in terms of a specified information
criterion. Works on any cost function that returns a negative log-likelihood.

Michael Gabel

FAMoS

A Flexible Algorithm for Model Selection (FAMoS)

famos.run function

<p>A matrix with 9 rows and 17 columns</p>

famos.run: FAMoS performance test run

Description

Usage

Arguments

Format