{% set version = "0.3.1" %}
{% set posix = 'm2-' if win else '' %}
{% set native = 'm2w64-' if win else '' %}

package:
  name: r-fable
  version: {{ version|replace("-", "_") }}

source:
  url:
    - {{ cran_mirror }}/src/contrib/fable_{{ version }}.tar.gz
    - {{ cran_mirror }}/src/contrib/Archive/fable/fable_{{ version }}.tar.gz
  sha256: 075b9dc5a99eee2a1a13bf4ea654e233a7dab4160a26346608dadb81da1bb4a0

build:
  merge_build_host: true  # [win]
  number: 0
  rpaths:
    - lib/R/lib/
    - lib/

requirements:
  build:
    - {{ compiler('c') }}              # [not win]
    - {{ compiler('m2w64_c') }}        # [win]
    - {{ compiler('cxx') }}            # [not win]
    - {{ compiler('m2w64_cxx') }}      # [win]
    - {{ posix }}filesystem        # [win]
    - {{ posix }}make
    - {{ posix }}sed               # [win]
    - {{ posix }}coreutils         # [win]
    - {{ posix }}zip               # [win]
  host:
    - r-base
    - r-rcpp >=0.11.0
    - r-dplyr >=0.8.0
    - r-fabletools
    - r-rlang >=0.2.0
    - r-tidyr
    - r-tsibble >=0.8.0
  run:
    - r-base
    - {{ native }}gcc-libs         # [win]
    - r-rcpp >=0.11.0
    - r-dplyr >=0.8.0
    - r-fabletools
    - r-rlang >=0.2.0
    - r-tidyr
    - r-tsibble >=0.8.0

test:
  commands:
    - $R -e "library('fable')"           # [not win]
    - "\"%R%\" -e \"library('fable')\""  # [win]

about:
  home: https://fable.tidyverts.org
  license: GPL-3
  summary: Provides a collection of commonly used univariate and multivariate time series forecasting models including automatically selected exponential  smoothing (ETS) and autoregressive integrated moving average (ARIMA) models. These models work within the 'fable' framework provided by the 'fabletools' package, which
    provides the tools to evaluate, visualise, and combine models  in a workflow consistent with the tidyverse.
  license_family: GPL3
  license_file: {{ environ["PREFIX"] }}/lib/R/share/licenses/GPL-3

extra:
  recipe-maintainers:
    - conda-forge/r
    - philip-khor

# Package: fable
# Title: Forecasting Models for Tidy Time Series
# Version: 0.1.0
# Description: Provides a collection of commonly used univariate and multivariate time series forecasting models including automatically selected exponential  smoothing (ETS) and autoregressive integrated moving average (ARIMA) models. These models work within the 'fable' framework provided by the 'fabletools' package, which provides the tools to evaluate, visualise, and combine models  in a workflow consistent with the tidyverse.
# Authors@R:  c(person(given = "Mitchell", family = "O'Hara-Wild", email = "mail@mitchelloharawild.com", role = c("aut", "cre")), person(given = "Rob", family = "Hyndman", role = "aut"), person(given = "Earo", family = "Wang", role = "aut"), person(given = "Gabriel", family = "Caceres", role = "ctb", comment = "NNETAR implementation"))
# License: GPL-3
# URL: https://fable.tidyverts.org
# BugReports: https://github.com/tidyverts/fable/issues
# Depends: R (>= 3.4.0), fabletools
# Imports: Rcpp (>= 0.11.0), rlang (>= 0.2.0), stats, dplyr (>= 0.8.0), tsibble (>= 0.8.0), tidyr
# Suggests: covr, feasts, forecast, knitr, nnet, rmarkdown, spelling, testthat, tsibbledata
# LinkingTo: Rcpp (>= 0.11.0)
# VignetteBuilder: knitr
# ByteCompile: true
# Encoding: UTF-8
# Language: en-GB
# LazyData: true
# RoxygenNote: 6.1.1
# NeedsCompilation: yes
# Packaged: 2019-09-16 09:21:55 UTC; mitchell
# Author: Mitchell O'Hara-Wild [aut, cre], Rob Hyndman [aut], Earo Wang [aut], Gabriel Caceres [ctb] (NNETAR implementation)
# Maintainer: Mitchell O'Hara-Wild <mail@mitchelloharawild.com>
# Repository: CRAN
# Date/Publication: 2019-09-23 15:10:06 UTC
