Package: flimo 0.1.5

Sylvain Moinard

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>.

Authors:Sylvain Moinard [aut, cre]

flimo_0.1.5.tar.gz
flimo_0.1.5.tar.gz(r-4.5-noble)flimo_0.1.5.tar.gz(r-4.4-noble)
flimo_0.1.5.tgz(r-4.4-emscripten)flimo_0.1.5.tgz(r-4.3-emscripten)
flimo.pdf |flimo.html✨
flimo/json (API)
NEWS

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

Peer review:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.70 score 3 scripts 220 downloads 7 exports 29 dependencies

Last updated 2 years agofrom:28240e7bed. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKDec 10 2024
R-4.5-linuxOKDec 10 2024

Exports:check_simulatorflimobjectiveflimoptimjulia_loadjulia_setupplot_objectivesampleQ

Dependencies:clicolorspacefansifarverggplot2gluegtableisobandJuliaConnectoRlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerrlangscalestibbleutf8vctrsviridisLitewithr

Examples - flimo

Sylvain Moinard

Rendered fromExamples.Rmdusingknitr::rmarkdownon Dec 10 2024.

Last update: 2023-04-13
Started: 2022-03-30