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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 |
| Reference manual: | flimo.pdf |
| Vignettes: |
Examples - flimo |
| 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 |
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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.