Overview | Example 1 : Poisson Distribution | Use of flimo | Example 2 : Normal Distribution
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:
flimo_0.1.5.tar.gz
flimo_0.1.5.tar.gz(r-4.7-any)flimo_0.1.5.tar.gz(r-4.6-any)
flimo_0.1.5.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
flimo/json (API)
| # Install 'flimo' in R: |
| install.packages('flimo', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:28240e7bed. Checks:4 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 122 | ||
| source / vignettes | OK | 209 | ||
| linux-release-x86_64 | OK | 142 | ||
| wasm-release | OK | 106 |
Exports:check_simulatorflimobjectiveflimoptimjulia_loadjulia_setupplot_objectivesampleQ
Dependencies:clicpp11farverggplot2gluegtableisobandJuliaConnectoRlabelinglifecycleR6RColorBrewerrlangS7scalesvctrsviridisLitewithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Check if simulator with fixed quantiles is well implemented | check_simulator |
| Objective function minimized by flimo | flimobjective |
| Main function to use flimo inference | flimoptim |
| Internal flimoptim function in Julia mode | flimoptim_Julia |
| Internal flimoptim function in R mode | flimoptim_R |
| Load Julia | julia_load |
| Check Julia setup | julia_setup |
| Plot the objective to be minimized using flimo | plot_objective |
| Plot main flimo results | plot.flimo_result |
| Print flimo results | print.flimo_result |
| Sample function with fixed quantiles | sampleQ |
| Summary of flimo results | summary.flimo_result |