Adding DDOutlier R package from CRAN

recipes/r-ddoutlier/bld.bat

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+"%R%" CMD INSTALL --build . %R_ARGS%
+IF %ERRORLEVEL% NEQ 0 exit /B 1

recipes/r-ddoutlier/build.sh

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+#!/bin/bash
+export DISABLE_AUTOBREW=1
+${R} CMD INSTALL --build . ${R_ARGS}

recipes/r-ddoutlier/meta.yaml

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+{% set version = '0.1.0' %}
+{% set posix = 'm2-' if win else '' %}
+{% set native = 'm2w64-' if win else '' %}
+
+package:
+  name: r-ddoutlier
+  version: {{ version|replace("-", "_") }}
+
+source:
+  url:
+    - {{ cran_mirror }}/src/contrib/DDoutlier_{{ version }}.tar.gz
+    - {{ cran_mirror }}/src/contrib/Archive/DDoutlier/DDoutlier_{{ version }}.tar.gz
+  sha256: 4d0b36daeda826e54e103a7bf05434c18d433f619756714a2a49ce4101fee5ab
+
+build:
+  merge_build_host: True  # [win]
+  number: 0
+  noarch: generic
+  rpaths:
+    - lib/R/lib/
+    - lib/
+
+requirements:
+  build:
+    - {{ posix }}zip               # [win]
+    - cross-r-base {{ r_base }}    # [build_platform != target_platform]
+  host:
+    - r-base
+    - r-dbscan
+    - r-pracma
+    - r-proxy
+  run:
+    - r-base
+    - r-dbscan
+    - r-pracma
+    - r-proxy
+
+test:
+  commands:
+    - $R -e "library('DDoutlier')"           # [not win]
+    - "\"%R%\" -e \"library('DDoutlier')\""  # [win]
+
+about:
+  home: https://github.com/jhmadsen/DDoutlier
+  license: MIT
+  summary: "Outlier detection in multidimensional domains. Implementation of notable distance
+    and density-based outlier algorithms. Allows users to identify local outliers by
+    comparing observations to their nearest neighbors, reverse nearest neighbors, shared
+    neighbors or natural neighbors. For distance-based approaches, see Knorr, M., &
+    Ng, R. T. (1997) <doi:10.1145/782010.782021>, Angiulli, F., & Pizzuti, C. (2002)
+    <doi:10.1007/3-540-45681-3_2>, Hautamaki, V., & Ismo, K. (2004) <doi:10.1109/ICPR.2004.1334558>
+    and Zhang, K., Hutter, M. & Jin, H. (2009) <doi:10.1007/978-3-642-01307-2_84>. For
+    density-based approaches, see Tang, J., Chen, Z., Fu, A. W. C., & Cheung, D. W.
+    (2002) <doi:10.1007/3-540-47887-6_53>, Jin, W., Tung, A. K. H., Han, J., & Wang,
+    W. (2006) <doi:10.1007/11731139_68>, Schubert, E., Zimek, A. & Kriegel, H-P. (2014)
+    <doi:10.1137/1.9781611973440.63>, Latecki, L., Lazarevic, A. & Prokrajac, D. (2007)
+    <doi:10.1007/978-3-540-73499-4_6>, Papadimitriou, S., Gibbons, P. B., & Faloutsos,
+    C. (2003) <doi:10.1109/ICDE.2003.1260802>, Breunig, M. M., Kriegel, H.-P., Ng, R.
+    T., & Sander, J. (2000) <doi:10.1145/342009.335388>, Kriegel, H.-P., Kr\xF6ger,
+    P., Schubert, E., & Zimek, A. (2009) <doi:10.1145/1645953.1646195>, Zhu, Q., Feng,
+    Ji. & Huang, J. (2016) <doi:10.1016/j.patrec.2016.05.007>, Huang, J., Zhu, Q., Yang,
+    L. & Feng, J. (2015) <doi:10.1016/j.knosys.2015.10.014>, Tang, B. & Haibo, He. (2017)
+    <doi:10.1016/j.neucom.2017.02.039> and Gao, J., Hu, W., Zhang, X. & Wu, Ou. (2011)
+    <doi:10.1007/978-3-642-20847-8_23>."
+  license_family: MIT
+  license_file:
+    - '{{ environ["PREFIX"] }}/lib/R/share/licenses/MIT'
+    - LICENSE
+
+extra:
+  recipe-maintainers:
+    - conda-forge/r
+    - jackfeltham
+
+# Package: DDoutlier
+# Type: Package
+# Title: Distance & Density-Based Outlier Detection
+# Version: 0.1.0
+# Author: Jacob H. Madsen <[email protected]>
+# Maintainer: Jacob H. Madsen <[email protected]>
+# Description: Outlier detection in multidimensional domains. Implementation of notable distance and density-based outlier algorithms. Allows users to identify local outliers by comparing observations to their nearest neighbors, reverse nearest neighbors, shared neighbors or natural neighbors. For distance-based approaches, see Knorr, M., & Ng, R. T. (1997) <doi:10.1145/782010.782021>, Angiulli, F., & Pizzuti, C. (2002) <doi:10.1007/3-540-45681-3_2>, Hautamaki, V., & Ismo, K. (2004) <doi:10.1109/ICPR.2004.1334558> and Zhang, K., Hutter, M. & Jin, H. (2009) <doi:10.1007/978-3-642-01307-2_84>. For density-based approaches, see Tang, J., Chen, Z., Fu, A. W. C., & Cheung, D. W. (2002) <doi:10.1007/3-540-47887-6_53>, Jin, W., Tung, A. K. H., Han, J., & Wang, W. (2006) <doi:10.1007/11731139_68>, Schubert, E., Zimek, A. & Kriegel, H-P. (2014) <doi:10.1137/1.9781611973440.63>, Latecki, L., Lazarevic, A. & Prokrajac, D. (2007) <doi:10.1007/978-3-540-73499-4_6>, Papadimitriou, S., Gibbons, P. B., & Faloutsos, C. (2003) <doi:10.1109/ICDE.2003.1260802>, Breunig, M. M., Kriegel, H.-P., Ng, R. T., & Sander, J. (2000) <doi:10.1145/342009.335388>, Kriegel, H.-P., Kroger, P., Schubert, E., & Zimek, A. (2009) <doi:10.1145/1645953.1646195>, Zhu, Q., Feng, Ji. & Huang, J. (2016) <doi:10.1016/j.patrec.2016.05.007>, Huang, J., Zhu, Q., Yang, L. & Feng, J. (2015) <doi:10.1016/j.knosys.2015.10.014>, Tang, B. & Haibo, He. (2017) <doi:10.1016/j.neucom.2017.02.039> and Gao, J., Hu, W., Zhang, X. & Wu, Ou. (2011) <doi:10.1007/978-3-642-20847-8_23>.
+# License: MIT + file LICENSE
+# URL: https://github.com/jhmadsen/DDoutlier
+# Encoding: UTF-8
+# LazyData: true
+# Imports: dbscan, proxy, pracma
+# NeedsCompilation: no
+# Packaged: 2018-05-29 21:18:22 UTC; Jacob
+# Repository: CRAN
+# Date/Publication: 2018-05-30 13:24:41 UTC