Package: BiocNeighbors
Version: 1.0.0
Date: 2018-10-15
Title: Nearest Neighbor Detection for Bioconductor Packages
Authors@R: c(person("Aaron", "Lun", role=c("aut", "cre", "cph"),
        email="infinite.monkeys.with.keyboards@gmail.com"))
Depends: R (>= 3.5), BiocParallel
Imports: Rcpp, S4Vectors, stats, methods
Suggests: testthat, BiocStyle, knitr, rmarkdown, FNN, RcppAnnoy
biocViews: Clustering, Classification
Description: Implements exact and approximate methods for nearest neighbor 
    detection, in a framework that allows them to be easily switched within 
    Bioconductor packages or workflows. The exact algorithm is implemented 
    using pre-clustering with the k-means algorithm, as described by Wang 
    (2012). This is faster than conventional kd-trees for neighbor searching 
    in higher (> 20) dimensional data. The approximate method uses the Annoy 
    algorithm. Functions are also provided to search for all neighbors within
    a given distance. Parallelization is achieved for all methods using 
    the BiocParallel framework.
License: GPL-3
LinkingTo: Rcpp, RcppAnnoy
VignetteBuilder: knitr
SystemRequirements: C++11
RoxygenNote: 6.1.0
git_url: https://git.bioconductor.org/packages/BiocNeighbors
git_branch: RELEASE_3_8
git_last_commit: e252fc0
git_last_commit_date: 2018-10-30
Date/Publication: 2018-10-30
NeedsCompilation: yes
Packaged: 2018-10-31 02:33:14 UTC; biocbuild
Author: Aaron Lun [aut, cre, cph]
Maintainer: Aaron Lun <infinite.monkeys.with.keyboards@gmail.com>
Built: R 3.5.1; x86_64-apple-darwin13.4.0; 2018-12-10 12:01:30 UTC; unix
