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.

Version: 0.1.0
Depends: R (≥ 3.4)
Imports: future, R.utils
Suggests: future.batchtools, knitr, rmarkdown
Published: 2018-12-03
Author: Michael Gabel, Tobias Hohl
Maintainer: Michael Gabel <m_gabel at gmx.de>
License: GPL-3
NeedsCompilation: no
Materials: README
CRAN checks: FAMoS results


Reference manual: FAMoS.pdf
Vignettes: Vignette Title
Package source: FAMoS_0.1.0.tar.gz
Windows binaries: r-devel: FAMoS_0.1.0.zip, r-release: FAMoS_0.1.0.zip, r-oldrel: FAMoS_0.1.0.zip
OS X binaries: r-release: FAMoS_0.1.0.tgz, r-oldrel: FAMoS_0.1.0.tgz


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