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>.
|Author||Ivan Tomic [aut, cre, cph] (<https://orcid.org/0000-0003-3596-681X>), Adriana Tomic [aut, ctb] (<https://orcid.org/0000-0001-9885-3535>)|
|Maintainer||Ivan Tomic <[email protected]>|
|License||EUPL (>= 1.2)|
|Package repository||View on CRAN|
Install the latest version of this package by entering the following in R:
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.