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 <>. '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 <>.

Version: 0.1.1
Depends: R (≥ 3.1.2)
Imports: dplyr, sparklyr (≥ 1.0.1), sparklyr.nested, utils
Suggests: testthat
Published: 2019-12-23
DOI: 10.32614/CRAN.package.sparkhail
Author: Samuel Macêdo [aut, cre], Javier Luraschi [aut], Michael Lawrence [ctb]
Maintainer: Samuel Macêdo <samuelmacedo at>
License: Apache License 2.0 | file LICENSE
NeedsCompilation: no
Materials: README
CRAN checks: sparkhail results


Reference manual: sparkhail.pdf


Package source: sparkhail_0.1.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): sparkhail_0.1.1.tgz, r-oldrel (arm64): sparkhail_0.1.1.tgz, r-release (x86_64): sparkhail_0.1.1.tgz, r-oldrel (x86_64): sparkhail_0.1.1.tgz


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