NIMAA
Nominal Data Mining Analysis
Functions for nominal data mining based on bipartite graphs, which build a pipeline for analysis and missing values imputation. Methods are mainly from the paper: Jafari, Mohieddin, et al. (2021) <doi:10.1101/2021.03.18.436040>, some new ones are also included.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.2.2 |
rolling linux/jammy R-4.5 | NIMAA_0.2.2.tar.gz |
2.4 MiB |
0.2.2 |
rolling linux/noble R-4.5 | NIMAA_0.2.2.tar.gz |
2.4 MiB |
0.2.2 |
rolling source/ R- | NIMAA_0.2.2.tar.gz |
3.2 MiB |
0.2.2 |
latest linux/jammy R-4.5 | NIMAA_0.2.2.tar.gz |
2.4 MiB |
0.2.2 |
latest linux/noble R-4.5 | NIMAA_0.2.2.tar.gz |
2.4 MiB |
0.2.2 |
latest source/ R- | NIMAA_0.2.2.tar.gz |
3.2 MiB |
0.2.2 |
2026-04-26 source/ R- | NIMAA_0.2.2.tar.gz |
3.2 MiB |
0.2.2 |
2026-04-23 source/ R- | NIMAA_0.2.2.tar.gz |
3.2 MiB |
0.2.2 |
2026-04-09 windows/windows R-4.5 | NIMAA_0.2.2.zip |
2.4 MiB |
0.2.1 |
2025-04-20 source/ R- | NIMAA_0.2.1.tar.gz |
3.0 MiB |