funLBM
Model-Based Co-Clustering of Functional Data
The funLBM algorithm allows to simultaneously cluster the rows and the columns of a data matrix where each entry of the matrix is a function or a time series.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
2.3.1 |
rolling linux/jammy R-4.5 | funLBM_2.3.1.tar.gz |
701.7 KiB |
2.3.1 |
rolling linux/noble R-4.5 | funLBM_2.3.1.tar.gz |
701.6 KiB |
2.3.1 |
rolling source/ R- | funLBM_2.3.1.tar.gz |
624.5 KiB |
2.3.1 |
latest linux/jammy R-4.5 | funLBM_2.3.1.tar.gz |
701.7 KiB |
2.3.1 |
latest linux/noble R-4.5 | funLBM_2.3.1.tar.gz |
701.6 KiB |
2.3.1 |
latest source/ R- | funLBM_2.3.1.tar.gz |
624.5 KiB |
2.3.1 |
2026-04-23 source/ R- | funLBM_2.3.1.tar.gz |
0 B |
2.3 |
2025-04-20 source/ R- | funLBM_2.3.tar.gz |
624.8 KiB |