r-rainbow

Summary

Functions and data sets for functional data display and outlier detection.

Versions

  • 3.3

License

GPL (>= 2)

Meta

package:
  name: r-rainbow
  # Note that conda versions cannot contain -, so any -'s in the version have
  # been replaced with _'s.
  version: "3.3"

source:
  fn: rainbow_3.3.tar.gz
  url:
    - http://cran.r-project.org/src/contrib/rainbow_3.3.tar.gz
    - http://cran.r-project.org/src/contrib/Archive/rainbow/rainbow_3.3.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: forecast
requirements:
  build:
    - r
    - r-mass # [not win]
    - r-cluster # [not win]
    - r-colorspace
    - r-hdrcde
    - r-ks
    - r-pcapp

  run:
    - r
    - r-mass # [not win]
    - r-cluster # [not win]
    - r-colorspace
    - r-hdrcde
    - r-ks
    - r-pcapp

test:
  commands:
    # You can put additional test commands to be run here.
    - $R -e "library('rainbow')" # [not win]
    - "\"%R%\" -e \"library('rainbow')\"" # [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: !!python/unicode 'https://sites.google.com/site/hanlinshangswebsite/'

  license: GPL (>= 2)
  summary: !!python/unicode 'Functions and data sets for functional data display and outlier
    detection.'


# The original CRAN metadata for this package was:

# Package: rainbow
# Type: Package
# Title: Rainbow Plots, Bagplots and Boxplots for Functional Data
# Version: 3.3
# Date: 2015-04-15
# Depends: R (>= 2.10.0), MASS, pcaPP
# Suggests: forecast
# Imports: hdrcde, cluster, colorspace, ks
# Author: Han Lin Shang and Rob J Hyndman
# Maintainer: Han Lin Shang <hanlin.shang@anu.edu.au>
# Description: Functions and data sets for functional data display and outlier detection.
# License: GPL (>= 2)
# LazyData: yes
# LazyLoad: yes
# LazyDataCompression: xz
# URL: https://sites.google.com/site/hanlinshangswebsite/
# Packaged: 2015-04-15 12:14:46 UTC; hanlinshang
# NeedsCompilation: no
# Repository: CRAN
# Date/Publication: 2015-04-15 21:41:07

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