ILRCM
Convert Irregular Longitudinal Data to Regular Intervals and Perform Clustering
Convert irregularly spaced longitudinal data into regular intervals for further analysis, and perform clustering using advanced machine learning techniques. The package is designed for handling complex longitudinal datasets, optimizing them for research in healthcare, demography, and other fields requiring temporal data modeling.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.2.0 |
rolling source/ R- | ILRCM_0.2.0.tar.gz |
191.3 KiB |
0.2.0 |
rolling linux/jammy R-4.5 | ILRCM_0.2.0.tar.gz |
169.1 KiB |
0.2.0 |
rolling linux/noble R-4.5 | ILRCM_0.2.0.tar.gz |
169.0 KiB |
0.2.0 |
latest source/ R- | ILRCM_0.2.0.tar.gz |
191.3 KiB |
0.2.0 |
latest linux/jammy R-4.5 | ILRCM_0.2.0.tar.gz |
169.1 KiB |
0.2.0 |
latest linux/noble R-4.5 | ILRCM_0.2.0.tar.gz |
169.0 KiB |
0.2.0 |
2026-04-26 source/ R- | ILRCM_0.2.0.tar.gz |
191.3 KiB |
0.2.0 |
2026-04-23 source/ R- | ILRCM_0.2.0.tar.gz |
191.3 KiB |
0.2.0 |
2026-04-09 windows/windows R-4.5 | ILRCM_0.2.0.zip |
171.7 KiB |
0.1.0 |
2025-04-20 source/ R- | ILRCM_0.1.0.tar.gz |
188.4 KiB |