# This file created by conda-build 3.21.4
# meta.yaml template originally from:
# D:\a\1\s\recipe, last modified Fri Apr 30 18:03:26 2021
# ------------------------------------------------

package:
  name: r-timetk
  version: 2.6.1
source:
  sha256: bc8e0c22b0e9f2a6feed23380427a075823c7d35f241f0e1ded58279335ac0f9
  url:
    - https://cran.r-project.org/src/contrib/Archive/timetk/timetk_2.6.1.tar.gz
    - https://cran.r-project.org/src/contrib/timetk_2.6.1.tar.gz
build:
  merge_build_host: true
  number: '1'
  rpaths:
    - lib/
    - lib/R/lib/
  string: r36h6addd8b_1
requirements:
  build:
    - m2-gcc-libs 5.3.0 4
    - m2-libbz2 1.0.6 3
    - m2-msys2-runtime 2.5.0.17080.65c939c 3
    - m2-zip 3.0 2
    - msys2-conda-epoch 20160418 1
  host:
    - _r-mutex 1.0.1 anacondar_1
    - ca-certificates 2020.12.5 h5b45459_0
    - intel-openmp 2021.2.0 h57928b3_616
    - libblas 3.9.0 8_mkl
    - liblapack 3.9.0 8_mkl
    - m2w64-bwidget 1.9.10 2
    - m2w64-bzip2 1.0.6 6
    - m2w64-expat 2.1.1 2
    - m2w64-fftw 3.3.4 6
    - m2w64-flac 1.3.1 3
    - m2w64-gcc-libgfortran 5.3.0 6
    - m2w64-gcc-libs 5.3.0 7
    - m2w64-gcc-libs-core 5.3.0 7
    - m2w64-gettext 0.19.7 2
    - m2w64-gmp 6.1.0 2
    - m2w64-gsl 2.1 2
    - m2w64-icu 58.2 2
    - m2w64-libiconv 1.14 6
    - m2w64-libjpeg-turbo 1.4.2 3
    - m2w64-libogg 1.3.2 3
    - m2w64-libpng 1.6.21 2
    - m2w64-libsndfile 1.0.26 2
    - m2w64-libtiff 4.0.6 2
    - m2w64-libvorbis 1.3.5 2
    - m2w64-libwinpthread-git 5.0.0.4634.697f757 2
    - m2w64-libxml2 2.9.3 3
    - m2w64-mpfr 3.1.4 4
    - m2w64-pcre 8.38 2
    - m2w64-speex 1.2rc2 3
    - m2w64-speexdsp 1.2rc3 3
    - m2w64-tcl 8.6.5 3
    - m2w64-tk 8.6.5 3
    - m2w64-tktable 2.10 5
    - m2w64-wineditline 2.101 5
    - m2w64-xz 5.2.2 2
    - m2w64-zlib 1.2.8 10
    - mkl 2020.4 hb70f87d_311
    - msys2-conda-epoch 20160418 1
    - openssl 1.1.1k h8ffe710_0
    - r-anytime 0.3.9 r36h796a38f_0
    - r-askpass 1.1 r36hda5aaf8_2
    - r-assertthat 0.2.1 r36h6115d3f_2
    - r-backports 1.2.1 r36h6d2157b_0
    - r-base 3.6.3 hddad469_7
    - r-base64enc 0.1_3 r36hda5aaf8_1004
    - r-brio 1.1.2 r36h6d2157b_0
    - r-callr 3.7.0 r36hc72bb7e_0
    - r-class 7.3_18 r36h6d2157b_0
    - r-cli 2.5.0 r36hc72bb7e_0
    - r-clipr 0.7.1 r36h142f84f_0
    - r-codetools 0.2_18 r36hc72bb7e_0
    - r-colorspace 2.0_0 r36h6d2157b_0
    - r-cpp11 0.2.7 r36hc72bb7e_0
    - r-crayon 1.4.1 r36hc72bb7e_0
    - r-crosstalk 1.1.1 r36hc72bb7e_0
    - r-curl 4.3 r36h6d2157b_1
    - r-data.table 1.14.0 r36h6d2157b_0
    - r-desc 1.3.0 r36hc72bb7e_0
    - r-diffobj 0.3.3 r36h6d2157b_0
    - r-digest 0.6.27 r36h096a1c2_0
    - r-dplyr 1.0.5 r36ha856d6a_0
    - r-ellipsis 0.3.2 r36h6d2157b_0
    - r-evaluate 0.14 r36h6115d3f_2
    - r-fansi 0.4.2 r36h6d2157b_0
    - r-farver 2.1.0 r36ha856d6a_0
    - r-forcats 0.5.1 r36hc72bb7e_0
    - r-forecast 8.14 r36h01f9f87_0
    - r-fracdiff 1.5_1 r36h4dd0083_1
    - r-furrr 0.2.2 r36hc72bb7e_0
    - r-future 1.21.0 r36hc72bb7e_0
    - r-generics 0.1.0 r36hc72bb7e_0
    - r-ggplot2 3.3.3 r36hc72bb7e_0
    - r-globals 0.14.0 r36hc72bb7e_0
    - r-glue 1.4.2 r36h6d2157b_0
    - r-gower 0.2.2 r36hda5aaf8_0
    - r-gtable 0.3.0 r36h6115d3f_3
    - r-hexbin 1.28.2 r36he816bda_0
    - r-hms 1.0.0 r36hc72bb7e_0
    - r-htmltools 0.5.1.1 r36ha856d6a_0
    - r-htmlwidgets 1.5.3 r36hc72bb7e_0
    - r-httr 1.4.2 r36h6115d3f_0
    - r-ipred 0.9_11 r36h6d2157b_0
    - r-isoband 0.2.4 r36ha856d6a_0
    - r-jsonlite 1.7.2 r36h6d2157b_0
    - r-kernsmooth 2.23_18 r36h090b817_0
    - r-labeling 0.4.2 r36h142f84f_0
    - r-later 1.2.0 r36ha856d6a_0
    - r-lattice 0.20_41 r36h6d2157b_3
    - r-lava 1.6.9 r36hc72bb7e_0
    - r-lazyeval 0.2.2 r36hda5aaf8_2
    - r-lifecycle 1.0.0 r36hc72bb7e_0
    - r-listenv 0.8.0 r36h6115d3f_1
    - r-lmtest 0.9_38 r36h87ffe87_1
    - r-lubridate 1.7.10 r36ha856d6a_0
    - r-magrittr 2.0.1 r36h6d2157b_1
    - r-mass 7.3_53.1 r36h6d2157b_0
    - r-matrix 1.3_2 r36hd2e18ed_0
    - r-mgcv 1.8_34 r36hd2e18ed_0
    - r-mime 0.10 r36h6d2157b_0
    - r-modeldata 0.1.0 r36h142f84f_0
    - r-munsell 0.5.0 r36h6115d3f_1003
    - r-nlme 3.1_152 r36he816bda_0
    - r-nnet 7.3_15 r36h6d2157b_0
    - r-numderiv 2016.8_1.1 r36h6115d3f_3
    - r-openssl 1.4.3 r36h601d743_0
    - r-padr 0.5.3 r36h796a38f_0
    - r-parallelly 1.24.0 r36hc72bb7e_0
    - r-pillar 1.6.0 r36hc72bb7e_0
    - r-pkgconfig 2.0.3 r36h6115d3f_1
    - r-pkgload 1.2.1 r36ha856d6a_0
    - r-plotly 4.9.3 r36hc72bb7e_0
    - r-praise 1.0.0 r36h6115d3f_1004
    - r-processx 3.5.1 r36h6d2157b_0
    - r-prodlim 2019.11.13 r36h796a38f_1
    - r-promises 1.2.0.1 r36ha856d6a_0
    - r-ps 1.6.0 r36h6d2157b_0
    - r-purrr 0.3.4 r36hda5aaf8_1
    - r-quadprog 1.5_8 r36h20118fc_3
    - r-quantmod 0.4.18 r36hc72bb7e_0
    - r-r6 2.5.0 r36hc72bb7e_0
    - r-rcolorbrewer 1.1_2 r36h6115d3f_1003
    - r-rcpp 1.0.6 r36ha856d6a_0
    - r-rcpparmadillo 0.10.4.0.0 r36h399f8d5_0
    - r-readr 1.4.0 r36h096a1c2_0
    - r-recipes 0.1.16 r36hc72bb7e_0
    - r-rematch2 2.1.2 r36h6115d3f_1
    - r-rlang 0.4.10 r36h6d2157b_0
    - r-rpart 4.1_15 r36h6d2157b_2
    - r-rprojroot 2.0.2 r36hc72bb7e_0
    - r-rsample 0.0.9 r36hc72bb7e_0
    - r-rstudioapi 0.13 r36hc72bb7e_0
    - r-scales 1.1.1 r36h6115d3f_0
    - r-slider 0.2.1 r36h6d2157b_0
    - r-squarem 2021.1 r36hc72bb7e_0
    - r-stringi 1.5.3 r36ha856d6a_1
    - r-stringr 1.4.0 r36h6115d3f_2
    - r-survival 3.2_11 r36h6d2157b_0
    - r-sys 3.4 r36hda5aaf8_0
    - r-testthat 3.0.2 r36ha856d6a_0
    - r-tibble 3.1.1 r36h6d2157b_0
    - r-tidyr 1.1.3 r36ha856d6a_0
    - r-tidyselect 1.1.1 r36h6addd8b_0
    - r-timedate 3043.102 r36h6115d3f_1002
    - r-tseries 0.10_48 r36h090b817_0
    - r-ttr 0.24.2 r36hda5aaf8_0
    - r-urca 1.3_0 r36h87ffe87_1006
    - r-utf8 1.2.1 r36h6d2157b_0
    - r-vctrs 0.3.8 r36h6d2157b_0
    - r-viridislite 0.4.0 r36hc72bb7e_0
    - r-waldo 0.2.5 r36hc72bb7e_0
    - r-warp 0.2.0 r36h02096d4_0
    - r-withr 2.4.2 r36hc72bb7e_0
    - r-xts 0.12.1 r36hda5aaf8_0
    - r-yaml 2.2.1 r36h6d2157b_1
    - r-zeallot 0.1.0 r36h6115d3f_1002
    - r-zoo 1.8_9 r36h6d2157b_0
    - vc 14.2 hb210afc_4
    - vs2015_runtime 14.28.29325 h5e1d092_4
  run:
    - r-anytime
    - r-assertthat
    - r-base >=3.6,<3.7.0a0
    - r-dplyr >=0.7.0
    - r-forcats
    - r-forecast
    - r-ggplot2
    - r-hms
    - r-lazyeval >=0.2.0
    - r-lubridate >=1.6.0
    - r-padr >=0.3.0
    - r-plotly
    - r-purrr >=0.2.2
    - r-readr >=1.0.0
    - r-recipes >=0.1.4
    - r-rlang >=0.1.2
    - r-rsample
    - r-slider
    - r-stringi >=1.1.5
    - r-stringr
    - r-tibble >=1.2
    - r-tidyr >=0.6.1
    - r-timedate
    - r-xts >=0.9_7
    - r-zoo >=1.7_14
test:
  commands:
    - '"%R%" -e "library(''timetk'')"'
about:
  home: https://github.com/business-science/timetk
  license: GPL-3.0-or-later
  license_family: GPL3
  license_file:
    - D:\bld\r-timetk_1619806105105\_h_env/lib/R/share/licenses/GPL-3
  summary: 'Get the time series index (date or date-time component), time series signature
    (feature extraction of date or date-time component for time series machine learning),
    and time series summary (summary attributes about time series). Create future
    time series based on properties of existing time series index using logistic regression.
    Coerce between time-based tibbles (''tbl'') and ''xts'', ''zoo'', and ''ts''.
    Methods discussed herein are commonplace in machine learning, and have been cited
    in various literature. Refer to "Calendar Effects" in papers such as Taieb, Souhaib
    Ben. "Machine learning strategies for multi-step-ahead time series forecasting."
    Universit Libre de Bruxelles, Belgium (2014): 75-86. <http://souhaib-bentaieb.com/pdf/2014_phd.pdf>.'
extra:
  copy_test_source_files: true
  final: true
  recipe-maintainers:
    - benhuff
    - conda-forge/r
    - mxr-conda
    - oblute
    - rluria14
