R-BayesRGMM (R/R-BayesRGMM) Updated: 2 years, 7 months ago Add to my watchlist

Bayesian Robust Generalized Mixed Models for longitudinal data
Version: 2.2 License: GPL-2 GitHub
Maintainers barracuda156
Categories science math R
Homepage https://cran.r-project.org/package=BayesRGMM
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 13 Fortran compiler)

"R-BayesRGMM" depends on

lib (12)
R-CRAN-recommended
R-Rcpp
R-RcppArmadillo
R-RcppDist
R-Rdpack
R-abind
R-batchmeans
R-msm
R-mvtnorm
R-plyr
R-reshape
libgcc
run (1)
R
build (3)
R
clang-16
gcc13
test (1)
R-testthat

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Port Information was updated:
3 hours ago
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Most recent build (in app's database) ran:
8 hours ago

Latest stats submission was received:
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