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Showing content from http://cran.rstudio.com/web/packages/Rcpp/../RcppMagicEnum/../Rcpp/../lhs/../EasyABC/index.html below:

CRAN: Package EasyABC

EasyABC: Efficient Approximate Bayesian Computation Sampling Schemes

Enables launching a series of simulations of a computer code from the R session, and to retrieve the simulation outputs in an appropriate format for post-processing treatments. Five sequential sampling schemes and three coupled-to-MCMC schemes are implemented.

Version: 1.5.2 Depends: R (≥ 2.14.0), abc Imports: pls, mnormt, MASS, parallel, lhs, tensorA Published: 2023-01-05 DOI: 10.32614/CRAN.package.EasyABC Author: Franck Jabot, Thierry Faure, Nicolas Dumoulin, Carlo Albert. Maintainer: Nicolas Dumoulin <nicolas.dumoulin at inrae.fr> License: GPL-3 URL: http://easyabc.r-forge.r-project.org/ NeedsCompilation: no Materials: ChangeLog CRAN checks: EasyABC results Documentation: Reference manual: EasyABC.html , EasyABC.pdf Downloads: Package source: EasyABC_1.5.2.tar.gz Windows binaries: r-devel: EasyABC_1.5.2.zip, r-release: EasyABC_1.5.2.zip, r-oldrel: EasyABC_1.5.2.zip macOS binaries: r-release (arm64): EasyABC_1.5.2.tgz, r-oldrel (arm64): EasyABC_1.5.2.tgz, r-release (x86_64): EasyABC_1.5.2.tgz, r-oldrel (x86_64): EasyABC_1.5.2.tgz Old sources: EasyABC archive Reverse dependencies: Reverse imports: nlrx Linking:

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