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 [aut, cre, cph]
Maintainer:	François Rousset <francois.rousset at umontpellier.fr>
License:	CeCILL-2
URL:	https://www.R-project.org, 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_2.1.0.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_2.1.0.tgz, r-oldrel (x86_64): Infusion_2.1.0.tgz
Old sources:	Infusion archive

Reverse dependencies:

Reverse suggests:

spaMM

Linking:

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