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. A first approach was described in Rousset et al. (2017 <doi:10.1111/1755-0998.12627>) but the package implements more advanced methods.

Version: 2.1.0
Depends: R (≥ 3.3.0)
Imports: spaMM (≥ 4.1.66), proxy, blackbox (≥ 1.1.41), mvtnorm, methods, numDeriv, viridis, pbapply, ranger, foreach, matrixStats
Suggests: testthat, Rmixmod, crayon, caret, xLLiM
Published: 2023-05-03
DOI: 10.32614/CRAN.package.Infusion
Author: François Rousset ORCID iD [aut, cre, cph]
Maintainer: François Rousset <francois.rousset at>
License: CeCILL-2
NeedsCompilation: no
Citation: Infusion citation info
Materials: NEWS
CRAN checks: Infusion results


Reference manual: Infusion.pdf


Package source: Infusion_2.1.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): Infusion_2.1.0.tgz, r-oldrel (arm64): Infusion_2.1.0.tgz, r-release (x86_64): Infusion_2.1.0.tgz, r-oldrel (x86_64): Infusion_2.1.0.tgz
Old sources: Infusion archive

Reverse dependencies:

Reverse suggests: spaMM


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