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flimo: Fixed Landscape Inference Method

Likelihood-free inference method for stochastic models. Uses a deterministic optimizer on simple simulations of the model that are performed with a prior drawn randomness by applying the inverse transform method. Is designed to work on its own and also by using the Julia package 'Jflimo' available on the git page of the project: <https://metabarcoding.org/flimo>.

Version: 0.1.5
Imports: compiler, ggplot2, JuliaConnectoR
Suggests: knitr, rmarkdown
Published: 2023-05-14
DOI: 10.32614/CRAN.package.flimo
Author: Sylvain Moinard [aut, cre]
Maintainer: Sylvain Moinard <sylvain.moinard at univ-grenoble-alpes.fr>
License: CeCILL version 2 | CECILL-2.1 [expanded from: CeCILL]
NeedsCompilation: no
Materials: README NEWS
CRAN checks: flimo results

Documentation:

Reference manual: flimo.pdf
Vignettes: Examples - flimo

Downloads:

Package source: flimo_0.1.5.tar.gz
Windows binaries: r-devel: flimo_0.1.5.zip, r-release: flimo_0.1.5.zip, r-oldrel: flimo_0.1.5.zip
macOS binaries: r-release (arm64): flimo_0.1.5.tgz, r-oldrel (arm64): flimo_0.1.5.tgz, r-release (x86_64): flimo_0.1.5.tgz, r-oldrel (x86_64): flimo_0.1.5.tgz
Old sources: flimo archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.