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.html ,flimo.pdf |
| Vignettes: | Examples - flimo (source,R code) |
| 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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