Package: FAMoS 0.3.0

FAMoS: A Flexible Algorithm for Model Selection

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>.

Authors:Michael Gabel, Tobias Hohl

FAMoS_0.3.0.tar.gz
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FAMoS_0.3.0.tgz(r-4.4-any)FAMoS_0.3.0.tgz(r-4.3-any)
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FAMoS.pdf |FAMoS.html✨
FAMoS/json (API)
NEWS

# Install 'FAMoS' in R:
install.packages('FAMoS', repos = c('https://gabelhub.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/gabelhub/famos/issues

Datasets:

On CRAN:

15 exports 1.18 score 9 dependencies 2 mentions 24 scripts 156 downloads

Last updated 4 years agofrom:7457483e09. Checks:OK: 5 NOTE: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 06 2024
R-4.5-winNOTESep 06 2024
R-4.5-linuxNOTESep 06 2024
R-4.4-winOKSep 06 2024
R-4.4-macOKSep 06 2024
R-4.3-winOKSep 06 2024
R-4.3-macOKSep 06 2024

Exports:aicc.weightsbase.optimcombine.and.fitcombine.parfamosfamos.performanceget.most.distantmake.directoriesmodel.apprparscale.famosrandom.init.modelretrieve.resultsreturn.resultssc.orderset.crit.parms

Dependencies:codetoolsdigestfutureglobalslistenvparallellyR.methodsS3R.ooR.utils

FAMoS Evaluation Functions

Rendered fromFAMoS-EvaluationFunctions.Rmdusingknitr::rmarkdownon Sep 06 2024.

Last update: 2020-02-10
Started: 2018-06-18

FAMoS Examples

Rendered fromFAMoS-Examples.Rmdusingknitr::rmarkdownon Sep 06 2024.

Last update: 2019-05-24
Started: 2019-05-08