sparkhail: A 'Sparklyr' Extension for 'Hail'

'Hail' is an open-source, general-purpose, 'python' based data analysis tool with additional data types and methods for working with genomic data, see <https://hail.is/>. 'Hail' is built to scale and has first-class support for multi-dimensional structured data, like the genomic data in a genome-wide association study (GWAS). 'Hail' is exposed as a 'python' library, using primitives for distributed queries and linear algebra implemented in 'scala', 'spark', and increasingly 'C++'. The 'sparkhail' is an R extension using 'sparklyr' package. The idea is to help R users to use 'hail' functionalities with the well-know 'tidyverse' syntax, see <https://www.tidyverse.org/>.

Version: 0.1.1
Depends: R (≥ 3.1.2)
Imports: dplyr, sparklyr (≥ 1.0.1), sparklyr.nested, utils
Suggests: testthat
Published: 2019-12-23
Author: Samuel Macêdo [aut, cre], Javier Luraschi [aut], Michael Lawrence [ctb]
Maintainer: Samuel Macêdo <samuelmacedo at recife.ifpe.edu.br>
License: Apache License 2.0 | file LICENSE
NeedsCompilation: no
Materials: README
CRAN checks: sparkhail results

Downloads:

Reference manual: sparkhail.pdf
Package source: sparkhail_0.1.1.tar.gz
Windows binaries: r-devel: sparkhail_0.1.1.zip, r-devel-gcc8: sparkhail_0.1.1.zip, r-release: sparkhail_0.1.1.zip, r-oldrel: sparkhail_0.1.1.zip
OS X binaries: r-release: sparkhail_0.1.1.tgz, r-oldrel: sparkhail_0.1.1.tgz

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