old_contents: # Copyright 2013-2021 Lawrence Livermore National Security, LLC and other
  # Spack Project Developers. See the top-level COPYRIGHT file for details.
  #
  # SPDX-License-Identifier: (Apache-2.0 OR MIT)
  
  from spack import *
  
  
  class REmmeans(RPackage):
      """Estimated Marginal Means, aka Least-Squares Means
  
      Obtain estimated marginal means (EMMs) for many linear, generalized
      linear, and mixed models. Compute contrasts or linear functions of EMMs,
      trends, and comparisons of slopes. Plots and other displays.
      Least-squares means are discussed, and the term "estimated marginal means"
      is suggested, in Searle, Speed, and Milliken (1980) Population marginal
      means in the linear model: An alternative to least squares means, The
      American Statistician 34(4), 216-221 <doi:10.1080/00031305.1980.10483031>.
      """
  
      homepage = "https://github.com/rvlenth/emmeans"
      cran     = "emmeans"
  
      version('1.7.0', sha256='d4b654896197dfda8354b33257380a66ee06117d6177b1ed7f1e42176525e9c5')
      version('1.6.0', sha256='201bb7b008dde94231ed60bcc6a32749442faaab4baeea99ad28b97c951b3c1e')
  
      depends_on('r@3.5.0:', type=('build', 'run'))
      depends_on('r-estimability@1.3:', type=('build', 'run'))
      depends_on('r-numderiv', type=('build', 'run'))
      depends_on('r-mvtnorm', type=('build', 'run'))
      depends_on('r-xtable@1.8-2:', type=('build', 'run'))
  
      depends_on('r-plyr', when='@:1.6', type=('build', 'run'))
  
new_contents: # Copyright 2013-2021 Lawrence Livermore National Security, LLC and other
  # Spack Project Developers. See the top-level COPYRIGHT file for details.
  #
  # SPDX-License-Identifier: (Apache-2.0 OR MIT)
  
  from spack import *
  
  
  class REmmeans(RPackage):
      """Estimated Marginal Means, aka Least-Squares Means
  
      Obtain estimated marginal means (EMMs) for many linear, generalized
      linear, and mixed models. Compute contrasts or linear functions of EMMs,
      trends, and comparisons of slopes. Plots and other displays.
      Least-squares means are discussed, and the term "estimated marginal means"
      is suggested, in Searle, Speed, and Milliken (1980) Population marginal
      means in the linear model: An alternative to least squares means, The
      American Statistician 34(4), 216-221 <doi:10.1080/00031305.1980.10483031>.
      """
  
      homepage = "https://github.com/rvlenth/emmeans"
      cran     = "emmeans"
  
      version('1.7.1-1', sha256='6b01eaad1ea0f96245db8563cc77929a3c3b96cd61c24ce1d452308d6e0250de')
      version('1.7.0', sha256='d4b654896197dfda8354b33257380a66ee06117d6177b1ed7f1e42176525e9c5')
      version('1.6.0', sha256='201bb7b008dde94231ed60bcc6a32749442faaab4baeea99ad28b97c951b3c1e')
  
      depends_on('r@3.5.0:', type=('build', 'run'))
      depends_on('r-estimability@1.3:', type=('build', 'run'))
      depends_on('r-numderiv', type=('build', 'run'))
      depends_on('r-mvtnorm', type=('build', 'run'))
      depends_on('r-xtable@1.8-2:', type=('build', 'run'))
  
      depends_on('r-plyr', when='@:1.6', type=('build', 'run'))
  
subject: add 1.7.1-1 (#27870)