Lagun is a R/Shiny platform providing a user-friendly interface to methods and algorithms dedicated to the exploration and the analysis of datasets.
2024July_Lagun.pdf (2,4 Mo)
Guided workflows are provided to help non-expert users to apply safely the proposed methodologies:
- data analysis,
- design of experiments and meta-modelling,
- uncertainty quantification and sensitivity analysis,
- simulation-based or surrogate-based optimization
- calibration.
Lagun can be run
- from a docker image (https://ifpen-gitlab.appcollaboratif.fr/detocs/lagun_resources)
- or can be installed from the source files (https://gitlab.com/drti/lagun-saf-ifp).