'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 |
Reference manual: | sparkhail.pdf |
Package source: | sparkhail_0.1.1.tar.gz |
Windows binaries: | r-devel: sparkhail_0.1.1.zip, r-release: sparkhail_0.1.1.zip, r-oldrel: sparkhail_0.1.1.zip |
macOS binaries: | r-release: sparkhail_0.1.1.tgz, r-oldrel: sparkhail_0.1.1.tgz |
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