[aut,
cre, cph],
Adriana Tomic
[aut, ctb]Computes efficient data distributions from highly inconsistent datasets with many missing values using multi-set intersections. Based upon hash functions, 'mulset' can quickly identify intersections from very large matrices of input vectors across columns and rows and thus provides scalable solution for dealing with missing values. Tomic et al. (2019) <doi:10.1101/545186>.
| Version: | 1.0.0 |
| Depends: | R (≥ 3.4.0) |
| Imports: | gtools, digest, stats |
| Published: | 2019-03-08 |
| Author: | Ivan Tomic [aut,
cre, cph],
Adriana Tomic
[aut, ctb] |
| Maintainer: | Ivan Tomic <info at ivantomic.com> |
| BugReports: | https://github.com/LogIN-/mulset/issues |
| License: | |
| URL: | https://github.com/LogIN-/mulset |
| NeedsCompilation: | no |
| Citation: | mulset citation info |
| Materials: | README NEWS |
| CRAN checks: | mulset results |
| Reference manual: | mulset.pdf |
| Package source: | mulset_1.0.0.tar.gz |
| Windows binaries: | r-devel: mulset_1.0.0.zip, r-release: mulset_1.0.0.zip, r-oldrel: mulset_1.0.0.zip |
| macOS binaries: | r-release: mulset_1.0.0.tgz, r-oldrel: mulset_1.0.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=mulset to link to this page.