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:

Reference manual:

Infusion.pdf

Downloads:

Package source:	Infusion_2.2.0.tar.gz
Windows binaries:	r-devel: Infusion_2.1.0.zip, r-release: Infusion_2.1.0.zip, r-oldrel: Infusion_2.1.0.zip
macOS binaries:	r-release (arm64): Infusion_2.1.0.tgz, r-oldrel (arm64): Infusion_2.1.0.tgz, r-release (x86_64): Infusion_2.2.0.tgz, r-oldrel (x86_64): Infusion_2.1.0.tgz
Old sources:	Infusion archive

Reverse dependencies:

Reverse suggests:

spaMM

Linking:

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