R-bayesianVARs (R/R-bayesianVARs) Updated: 11 months, 2 weeks ago Add to my watchlist

MCMC estimation of Bayesian vector autoregressions
Version: 0.1.5 License: GPL-3+ GitHub
Maintainers barracuda156
Categories science math R
Homepage https://luisgruber.github.io/bayesianVARs
Platforms darwin
Variants
  • clang10 (Build using the MacPorts clang 10 compiler)
  • clang11 (Build using the MacPorts clang 11 compiler)
  • clang12 (Build using the MacPorts clang 12 compiler)
  • clang13 (Build using the MacPorts clang 13 compiler)
  • clang14 (Build using the MacPorts clang 14 compiler)
  • clang15 (Build using the MacPorts clang 15 compiler)
  • clang16 (Build using the MacPorts clang 16 compiler)
  • clang50 (Build using the MacPorts clang 5.0 compiler)
  • clang60 (Build using the MacPorts clang 6.0 compiler)
  • clang70 (Build using the MacPorts clang 7.0 compiler)
  • clang80 (Build using the MacPorts clang 8.0 compiler)
  • clang90 (Build using the MacPorts clang 9.0 compiler)
  • clangdevel (Build using the MacPorts clang devel compiler)
  • g95 (Build using the g95 Fortran compiler)
  • gcc10 (Build using the MacPorts gcc 10 compiler)
  • gcc11 (Build using the MacPorts gcc 11 compiler)
  • gcc12 (Build using the MacPorts gcc 12 compiler)
  • gcc13 (Build using the MacPorts gcc 13 compiler)
  • gccdevel (Build using the MacPorts gcc devel compiler)
  • gfortran (Build using the MacPorts gcc 14 Fortran compiler)

"R-bayesianVARs" depends on

lib (12)
R-CRAN-recommended
R-GIGrvg
R-Rcpp
R-RcppArmadillo
R-RcppProgress
R-colorspace
R-factorstochvol
R-mvtnorm
R-scales
R-stochvol
libgcc
libgcc13
run (1)
R
build (3)
R
clang-16
gcc13
test (4)
R-coda
R-knitr
R-rmarkdown
R-testthat

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Port Information was updated:
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