FAMoS: A Flexible Algorithm for Model Selection (FAMoS)

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.

Getting started

Package details

AuthorMichael Gabel, Tobias Hohl
MaintainerMichael Gabel <[email protected]>
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:

Try the FAMoS package in your browser

Any scripts or data that you put into this service are public.

FAMoS documentation built on Dec. 4, 2018, 1:05 a.m.