# This file created by conda-build 3.18.8
# meta.yaml template originally from:
# D:\a\1\s\recipe, last modified Sat Jul 20 11:55:47 2019
# ------------------------------------------------

package:
    name: r-mixomics
    version: 6.3.2
source:
    fn: mixOmics_6.3.2.tar.gz
    sha256: 62c9bfe8967997c673e45433a8705dd43f6b5eb3c9fd62529461d3e6f4cb10d3
    url:
        - https://cran.r-project.org/src/contrib/Archive/mixOmics/mixOmics_6.3.2.tar.gz
        - https://cran.r-project.org/src/contrib/mixOmics_6.3.2.tar.gz
build:
    merge_build_host: true
    number: '2'
    rpaths:
        - lib/
        - lib/R/lib/
    string: r35h6115d3f_2
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 2019.6.16 hecc5488_0
        - certifi 2019.6.16 py37_1
        - colormath 3.0.0 py_2
        - decorator 4.4.0 py_0
        - intel-openmp 2019.4 245
        - libblas 3.8.0 8_mkl
        - libcblas 3.8.0 8_mkl
        - liblapack 3.8.0 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 heb44b8b_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 4
        - m2w64-mpfr 3.1.4 4
        - m2w64-openblas 0.2.19 1
        - 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 2019.4 245
        - msys2-conda-epoch 20160418 1
        - networkx 2.3 py_0
        - numpy 1.16.4 py37hc71023c_0
        - openssl 1.1.1c hfa6e2cd_0
        - python 3.7.3 h510b542_1
        - r-assertthat 0.2.1 r35h6115d3f_1
        - r-backports 1.1.4 r35hda5aaf8_1
        - r-base 3.5.1 hdf77c54_1008
        - r-base64enc 0.1_3 r35hda5aaf8_1003
        - r-bh 1.69.0_1 r35h6115d3f_1
        - r-callr 3.3.0 r35h6115d3f_1
        - r-cli 1.1.0 r35h6115d3f_1
        - r-codetools 0.2_16 r35h6115d3f_1001
        - r-colorspace 1.4_1 r35hda5aaf8_1
        - r-corpcor 1.6.9 r35h6115d3f_1002
        - r-crayon 1.3.4 r35h6115d3f_1002
        - r-crosstalk 1.0.0 r35h6115d3f_1002
        - r-digest 0.6.20 r35h796a38f_1
        - r-dplyr 0.8.3 r35h796a38f_1
        - r-ellipse 0.4.1 r35h6115d3f_1002
        - r-ellipsis 0.2.0.1 r35hda5aaf8_1
        - r-evaluate 0.14 r35h6115d3f_1
        - r-fansi 0.4.0 r35hda5aaf8_1001
        - r-ggplot2 3.2.0 r35h6115d3f_1
        - r-glue 1.3.1 r35hda5aaf8_1
        - r-gridextra 2.3 r35h6115d3f_1002
        - r-gtable 0.3.0 r35h6115d3f_1
        - r-highr 0.8 r35h6115d3f_1
        - r-htmltools 0.3.6 r35hca4a3dc_1003
        - r-htmlwidgets 1.3 r35h6115d3f_1001
        - r-httpuv 1.5.1 r35h796a38f_1
        - r-igraph 1.2.4.1 r35h5b3a9a7_1
        - r-jsonlite 1.6 r35hda5aaf8_1001
        - r-knitr 1.23 r35h6115d3f_1
        - r-labeling 0.3 r35h6115d3f_1002
        - r-later 0.8.0 r35h796a38f_1
        - r-lattice 0.20_38 r35hda5aaf8_1001
        - r-lazyeval 0.2.2 r35hda5aaf8_1
        - r-magrittr 1.5 r35h6115d3f_1002
        - r-manipulatewidget 0.10.0 r35h6115d3f_1001
        - r-markdown 1.0 r35hda5aaf8_1
        - r-mass 7.3_51.4 r35hda5aaf8_1
        - r-matrix 1.2_17 r35hda5aaf8_1
        - r-matrixstats 0.54.0 r35hda5aaf8_1001
        - r-mgcv 1.8_28 r35hda5aaf8_1
        - r-mime 0.7 r35hda5aaf8_1
        - r-miniui 0.1.1.1 r35h6115d3f_1001
        - r-munsell 0.5.0 r35h6115d3f_1002
        - r-nlme 3.1_140 r35h17ddedb_1
        - r-pillar 1.4.2 r35h6115d3f_2
        - r-pkgconfig 2.0.2 r35h6115d3f_1002
        - r-plogr 0.2.0 r35h6115d3f_1002
        - r-plyr 1.8.4 r35h796a38f_1003
        - r-processx 3.4.0 r35hda5aaf8_1
        - r-promises 1.0.1 r35h796a38f_1001
        - r-ps 1.3.0 r35hda5aaf8_1001
        - r-purrr 0.3.2 r35hda5aaf8_1
        - r-r6 2.4.0 r35h6115d3f_1
        - r-rarpack 0.11_0 r35_1002
        - r-rcolorbrewer 1.1_2 r35h6115d3f_1002
        - r-rcpp 1.0.1 r35h796a38f_1
        - r-rcppeigen 0.3.3.5.0 r35h796a38f_1
        - r-reshape2 1.4.3 r35h796a38f_1004
        - r-rgl 0.100.24 r35h796a38f_1
        - r-rlang 0.4.0 r35hda5aaf8_1
        - r-rspectra 0.15_0 r35h796a38f_1
        - r-scales 1.0.0 r35h796a38f_1002
        - r-shiny 1.3.2 r35h6115d3f_1
        - r-sourcetools 0.1.7 r35hca4a3dc_1001
        - r-stringi 1.4.3 r35h796a38f_1
        - r-stringr 1.4.0 r35h6115d3f_1
        - r-tibble 2.1.3 r35hda5aaf8_1
        - r-tidyr 0.8.3 r35h796a38f_1
        - r-tidyselect 0.2.5 r35h796a38f_1001
        - r-utf8 1.1.4 r35hda5aaf8_1001
        - r-vctrs 0.2.0 r35hda5aaf8_1
        - r-viridislite 0.3.0 r35h6115d3f_1002
        - r-webshot 0.5.1 r35h6115d3f_1001
        - r-withr 2.1.2 r35h6115d3f_1001
        - r-xfun 0.8 r35h6115d3f_1
        - r-xtable 1.8_4 r35h6115d3f_1
        - r-yaml 2.2.0 r35hda5aaf8_1002
        - r-zeallot 0.1.0 r35h6115d3f_1001
        - setuptools 41.0.1 py37_0
        - spectra 0.0.11 py_1
        - sqlite 3.29.0 hfa6e2cd_0
        - vc 14.1 h0510ff6_4
        - vs2015_runtime 14.15.26706 h3a45250_4
        - wincertstore 0.2 py37_1002
    run:
        - r-base >=3.5,<3.6.0a0
        - r-corpcor
        - r-dplyr
        - r-ellipse
        - r-ggplot2
        - r-gridextra
        - r-igraph
        - r-lattice
        - r-mass
        - r-matrixstats
        - r-rarpack
        - r-rcolorbrewer
        - r-reshape2
        - r-rgl
        - r-tidyr
test:
    commands:
        - '"%R%" -e "library(''mixOmics'')"'
about:
    home: http://www.mixOmics.org
    license: GPL (>= 2)
    license_family: GPL3
    license_file: D:\bld\r-mixomics_1563623947114\_h_env/lib/R/share/licenses/GPL-3
    summary: 'Multivariate methods are well suited to large omics data sets where
        the number of variables (e.g. genes, proteins, metabolites) is much larger
        than the number of samples (patients, cells, mice). They have the appealing
        properties of reducing the dimension of the data by using instrumental variables
        (components), which are defined as combinations of all variables. Those components
        are then used to produce useful graphical outputs that enable better understanding
        of the relationships and correlation structures between the different data
        sets that are integrated. mixOmics offers a wide range of multivariate methods
        for the exploration and integration of biological datasets with a particular
        focus on variable selection. The package proposes several sparse multivariate
        models we have developed to identify the key variables that are highly correlated,
        and/or explain the biological outcome of interest. The data that can be analysed
        with mixOmics may come from high throughput sequencing technologies, such
        as omics data (transcriptomics, metabolomics, proteomics, metagenomics etc)
        but also beyond the realm of omics (e.g. spectral imaging). The methods implemented
        in mixOmics can also handle missing values without having to delete entire
        rows with missing data. A non exhaustive list of methods include variants
        of generalised Canonical Correlation Analysis, sparse Partial Least Squares
        and sparse Discriminant Analysis. Recently we implemented integrative methods
        to combine multiple data sets: N-integration with variants of Generalised
        Canonical Correlation Analysis and P-integration with variants of multi-group
        Partial Least Squares.'
extra:
    copy_test_source_files: true
    final: true
    recipe-maintainers:
        - ArneKr
        - FrodePedersen
        - MathiasHaudgaard
        - bgruening
        - cbrueffer
        - conda-forge/r
        - daler
        - jdblischak
        - johanneskoester
