The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.
New and faster implementations for quantile quantile plots. The package also includes a function to prune data for quantile quantile plots. This can drastically reduce the running time for large samples, for 100 million samples, you can expect a factor 80X speedup.
Version: | 0.1.3 |
Imports: | Rcpp |
LinkingTo: | Rcpp |
Published: | 2022-10-25 |
DOI: | 10.32614/CRAN.package.fastqq |
Author: | Gudmundur Einarsson [aut, cre], Hafsteinn Einarsson [aut] |
Maintainer: | Gudmundur Einarsson <gudmundur.einarsson.phd at gmail.com> |
BugReports: | https://github.com/gumeo/fastqq/issues |
License: | GPL (≥ 3) |
URL: | https://github.com/gumeo/fastqq |
NeedsCompilation: | yes |
Materials: | README NEWS |
CRAN checks: | fastqq results |
Reference manual: | fastqq.pdf |
Package source: | fastqq_0.1.3.tar.gz |
Windows binaries: | r-devel: fastqq_0.1.3.zip, r-release: fastqq_0.1.3.zip, r-oldrel: fastqq_0.1.3.zip |
macOS binaries: | r-release (arm64): fastqq_0.1.3.tgz, r-oldrel (arm64): fastqq_0.1.3.tgz, r-release (x86_64): fastqq_0.1.3.tgz, r-oldrel (x86_64): fastqq_0.1.3.tgz |
Old sources: | fastqq archive |
Please use the canonical form https://CRAN.R-project.org/package=fastqq to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.