Package: BSL
Type: Package
Title: Bayesian Synthetic Likelihood
Version: 3.0.0
Date: 2019-07-01
Authors@R: c(person("Ziwen","An",role=c("aut","cre"),email="ziwen.an@hdr.qut.edu.au",comment = c(ORCID = "0000-0002-9947-5182")),
            person("Leah F.","South",role=c("aut"),email="leah.south@hdr.qut.edu.au",comment = c(ORCID = "0000-0002-5646-2963")),
            person("Christopher C.","Drovandi",role=c("aut"),email="c.drovandi@qut.edu.au",comment = c(ORCID = "0000-0001-9222-8763")))
Description: Bayesian synthetic likelihood (BSL, Price et al. (2018) <doi:10.1080/10618600.2017.1302882>)
    is an alternative to standard, non-parametric approximate Bayesian 
	computation (ABC). BSL assumes a multivariate normal distribution 
	for the summary statistic likelihood and it is suitable when the 
	distribution of the model summary statistics is sufficiently regular. 
	This package provides a Metropolis Hastings Markov chain Monte Carlo 
	implementation of three methods (BSL, uBSL and semiBSL) and two 
	shrinkage estimations (graphical lasso and Warton's estimation).
	uBSL (Price et al. (2018) <doi:10.1080/10618600.2017.1302882>) uses 
	an unbiased estimator to the normal density. A semi-parametric version 
	of BSL (semiBSL, An et al. (2018) <arXiv:1809.05800>) is more robust 
	to non-normal summary statistics. Shrinkage estimations can help to 
	bring down the number of simulations when the dimension of the summary 
	statistic is high (e.g., BSLasso, An et al. (2019) 
	<doi:10.1080/10618600.2018.1537928>). Extensions to this package are 
	planned.
Depends: R (>= 3.4.0)
License: GPL (>= 2)
LazyLoad: yes
Imports: glasso, ggplot2, MASS, mvtnorm, copula, graphics, gridExtra,
        foreach, coda, Rcpp, methods
Suggests: elliplot, doParallel
LinkingTo: Rcpp, RcppArmadillo
LazyData: true
RoxygenNote: 6.1.1
Encoding: UTF-8
Collate: 'BSL_model.R' 'BSL_package.R' 'RcppExports.R' 'S3_penbsl.R'
        'S4Functions.R' 'S4.R' 'bsl.R' 'cell.R' 'combinePlotsBSL.R'
        'covWarton.R' 'gaussianRankCorr.R' 'gaussianSynLike.R'
        'gaussianSynLikeGhuryeOlkin.R' 'imports.R' 'kernelCDF.R'
        'logitTransform.R' 'ma2.R' 'multignk.R' 'selectPenalty.R'
        'semiparaKernelEstimate.R'
NeedsCompilation: yes
Packaged: 2019-07-10 02:51:15 UTC; n9790349
Author: Ziwen An [aut, cre] (<https://orcid.org/0000-0002-9947-5182>),
  Leah F. South [aut] (<https://orcid.org/0000-0002-5646-2963>),
  Christopher C. Drovandi [aut] (<https://orcid.org/0000-0001-9222-8763>)
Maintainer: Ziwen An <ziwen.an@hdr.qut.edu.au>
Repository: CRAN
Date/Publication: 2019-07-10 07:30:29 UTC
