r-statmod

Summary

A collection of algorithms and functions to aid statistical modeling. Includes growth curve comparisons, limiting dilution analysis (aka ELDA), mixed linear models, heteroscedastic regression, inverse-Gaussian probability calculations, Gauss quadrature and a secure convergence algorithm for nonlinear models. Includes advanced generalized linear model functions that implement secure convergence, dispersion modeling and Tweedie power-law families.

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Versions

  • 1.4.22

License

GPL-2 | GPL-3

Meta

package:
  name: r-statmod
  # Note that conda versions cannot contain -, so any -'s in the version have
  # been replaced with _'s.
  version: "1.4.22"

source:
  fn: statmod_1.4.22.tar.gz
  url:
    - http://cran.r-project.org/src/contrib/statmod_1.4.22.tar.gz
    - http://cran.r-project.org/src/contrib/Archive/statmod/statmod_1.4.22.tar.gz


  # You can add a hash for the file here, like md5 or sha1
  # md5: 49448ba4863157652311cc5ea4fea3ea
  # sha1: 3bcfbee008276084cbb37a2b453963c61176a322
  # patches:
   # List any patch files here
   # - fix.patch

build:
  # If this is a new build for the same version, increment the build
  # number. If you do not include this key, it defaults to 0.
  # number: 1

  # This is required to make R link correctly on Linux.
  rpaths:
    - lib/R/lib/
    - lib/

# Suggests: MASS, tweedie
requirements:
  build:
    - r

  run:
    - r

test:
  commands:
    # You can put additional test commands to be run here.
    - $R -e "library('statmod')" # [not win]
    - "\"%R%\" -e \"library('statmod')\"" # [win]

  # You can also put a file called run_test.py, run_test.sh, or run_test.bat
  # in the recipe that will be run at test time.

  # requires:
    # Put any additional test requirements here.

about:
  #home:
  license: GPL-2 | GPL-3
  summary: !!python/unicode 'A collection of algorithms and functions to aid statistical modeling.
    Includes growth curve comparisons, limiting dilution analysis (aka ELDA), mixed
    linear models, heteroscedastic regression, inverse-Gaussian probability calculations,
    Gauss quadrature and a secure convergence algorithm for nonlinear models.  Includes
    advanced generalized linear model functions that implement secure convergence, dispersion
    modeling and Tweedie power-law families. '


# The original CRAN metadata for this package was:

# Package: statmod
# Version: 1.4.22
# Date: 2015-10-27
# Title: Statistical Modeling
# Author: Gordon Smyth [cre, aut], Yifang Hu [ctb], Peter Dunn [ctb], Belinda Phipson [ctb], Yunshun Chen [ctb]
# Maintainer: Gordon Smyth <smyth@wehi.edu.au>
# Depends: R (>= 1.6.1)
# Imports: stats, graphics
# Suggests: MASS, tweedie
# Description: A collection of algorithms and functions to aid statistical modeling. Includes growth curve comparisons, limiting dilution analysis (aka ELDA), mixed linear models, heteroscedastic regression, inverse-Gaussian probability calculations, Gauss quadrature and a secure convergence algorithm for nonlinear models.  Includes advanced generalized linear model functions that implement secure convergence, dispersion modeling and Tweedie power-law families.
# License: GPL-2 | GPL-3
# NeedsCompilation: yes
# Packaged: 2015-10-27 07:23:26 UTC; smyth
# Repository: CRAN
# Date/Publication: 2015-10-27 09:52:46

# See
# http://docs.continuum.io/conda/build.html for
# more information about meta.yaml