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 RAfex(RPackage):
      """Analysis of Factorial Experiments
  
      Convenience functions for analyzing factorial experiments using ANOVA or
      mixed models. aov_ez(), aov_car(), and aov_4() allow specification of
      between, within (i.e., repeated-measures), or mixed (i.e., split-plot)
      ANOVAs for data in long format (i.e., one observation per row),
      automatically aggregating multiple observations per individual and cell
      of the design. mixed() fits mixed models using lme4::lmer() and computes
      p-values for all fixed effects using either Kenward-Roger or Satterthwaite
      approximation for degrees of freedom (LMM only), parametric bootstrap
      (LMMs and GLMMs), or likelihood ratio tests (LMMs and GLMMs).
      afex_plot() provides a high-level interface for interaction or one-way
      plots using ggplot2, combining raw data and model estimates. afex uses
      type 3 sums of squares as default (imitating commercial statistical
      software).
      """
  
      homepage = "https://github.com/singmann/afex"
      cran     = "afex"
  
      version('0.28-1', sha256='cfb0b79bfa01b590afc3354a5b2ad3640d2f4974b036d6c256fa8e684bc69c2e')
  
      depends_on('r@3.5.0:', type=('build', 'run'))
      depends_on('r-lme4@1.1-8:', type=('build', 'run'))
      depends_on('r-pbkrtest@0.4-1:', type=('build', 'run'))
      depends_on('r-lmertest@3.0-0:', type=('build', 'run'))
      depends_on('r-car', type=('build', 'run'))
      depends_on('r-reshape2', 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 RAfex(RPackage):
      """Analysis of Factorial Experiments
  
      Convenience functions for analyzing factorial experiments using ANOVA or
      mixed models. aov_ez(), aov_car(), and aov_4() allow specification of
      between, within (i.e., repeated-measures), or mixed (i.e., split-plot)
      ANOVAs for data in long format (i.e., one observation per row),
      automatically aggregating multiple observations per individual and cell
      of the design. mixed() fits mixed models using lme4::lmer() and computes
      p-values for all fixed effects using either Kenward-Roger or Satterthwaite
      approximation for degrees of freedom (LMM only), parametric bootstrap
      (LMMs and GLMMs), or likelihood ratio tests (LMMs and GLMMs).
      afex_plot() provides a high-level interface for interaction or one-way
      plots using ggplot2, combining raw data and model estimates. afex uses
      type 3 sums of squares as default (imitating commercial statistical
      software).
      """
  
      homepage = "https://github.com/singmann/afex"
      cran     = "afex"
  
      version('1.0-1', sha256='6febc34b87a1109f5cbcd213c08d2b7b3e9cf99065fa41c19bc88ac99fb104cc')
      version('0.28-1', sha256='cfb0b79bfa01b590afc3354a5b2ad3640d2f4974b036d6c256fa8e684bc69c2e')
  
      depends_on('r@3.5.0:', type=('build', 'run'))
      depends_on('r-lme4@1.1-8:', type=('build', 'run'))
      depends_on('r-pbkrtest@0.4-1:', type=('build', 'run'))
      depends_on('r-lmertest@3.0-0:', type=('build', 'run'))
      depends_on('r-car', type=('build', 'run'))
      depends_on('r-reshape2', type=('build', 'run'))
  
subject: add 1.0-1 (#27032)