Package: BayesianTools
Title: General-Purpose MCMC and SMC Samplers and Tools for Bayesian
        Statistics
Version: 0.1.1
Date: 2017-04-03
Authors@R: c(person("Florian", "Hartig", email = "florian.hartig@biologie.uni-regensburg.de", role = c("aut", "cre")), person("Francesco", "Minunno", role = c("aut")), person("Stefan", " Paul", role = c("aut") ),  person("David", "Cameron", role = "ctb"))
Author: Florian Hartig [aut, cre],
    Francesco Minunno [aut],
    Stefan Paul [aut],
    David Cameron [ctb]
Maintainer: Florian Hartig <florian.hartig@biologie.uni-regensburg.de>
Description: General-purpose MCMC and SMC samplers, as well as plot and
    diagnostic functions for Bayesian statistics, with a particular focus on
    calibrating complex system models. Implemented samplers include various
    Metropolis MCMC variants (including adaptive and/or delayed rejection MH), the
    T-walk, two differential evolution MCMCs, two DREAM MCMCs, and a sequential
    Monte Carlo (SMC) particle filter.
Depends: R (>= 3.1.2)
License: CC BY-SA 4.0
Imports: coda, vioplot, emulator, mvtnorm, IDPmisc, Rcpp, ellipse,
        numDeriv, msm, MASS, Matrix, stats, utils, graphics
Suggests: DEoptim, lhs, sensitivity, knitr, rmarkdown, roxygen2,
        testthat, gap
LinkingTo: Rcpp
LazyData: true
RoxygenNote: 6.0.1
URL: https://github.com/florianhartig/BayesianTools
BugReports: https://github.com/florianhartig/BayesianTools/issues
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2017-04-05 11:15:05 UTC; florian
Repository: CRAN
Date/Publication: 2017-04-05 11:33:00 UTC
Built: R 3.2.5; x86_64-w64-mingw32; 2017-04-20 08:33:40 UTC; windows
Archs: i386, x64
