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Infusion: Inference Using Simulation
Implements functions for simulation-based inference. In particular, implements functions to perform likelihood inference from data summaries whose distributions are simulated. The package implements more advanced methods than the ones first described in: Rousset, Gouy, Almoyna and Courtiol (2017) <doi:10.1111/1755-0998.12627>.
| Version: |
2.2.0 |
| Depends: |
R (≥ 3.3.0) |
| Imports: |
spaMM (≥ 4.4.16), proxy, blackbox (≥ 1.1.41), mvtnorm, methods, numDeriv, pbapply, ranger, foreach, matrixStats, boot, nloptr, geometry, cli, viridisLite |
| Suggests: |
testthat, Rmixmod, caret, xLLiM, reticulate, mafR (≥ 1.0.11) |
| Published: |
2024-09-26 |
| DOI: |
10.32614/CRAN.package.Infusion |
| Author: |
François Rousset 
[aut, cre, cph] |
| Maintainer: |
François Rousset <francois.rousset at umontpellier.fr> |
| License: |
CeCILL-2 |
| URL: |
https://gitlab.mbb.univ-montp2.fr/francois/Infusion |
| NeedsCompilation: |
no |
| Citation: |
Infusion citation info |
| Materials: |
NEWS |
| CRAN checks: |
Infusion results |
Documentation:
Downloads:
Reverse dependencies:
Linking:
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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.
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