NBR
Network-Based R-Statistics using Mixed Effects Models
An implementation of network-based statistics in R using mixed effects models. Theoretical background for Network-Based Statistics can be found in Zalesky et al. (2010) <doi:10.1016/j.neuroimage.2010.06.041>. For Mixed Effects Models check the R package <https://CRAN.R-project.org/package=nlme>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.5 |
rolling linux/jammy R-4.5 | NBR_0.1.5.tar.gz |
600.5 KiB |
0.1.5 |
rolling linux/noble R-4.5 | NBR_0.1.5.tar.gz |
600.5 KiB |
0.1.5 |
rolling source/ R- | NBR_0.1.5.tar.gz |
562.3 KiB |
0.1.5 |
latest linux/jammy R-4.5 | NBR_0.1.5.tar.gz |
600.5 KiB |
0.1.5 |
latest linux/noble R-4.5 | NBR_0.1.5.tar.gz |
600.5 KiB |
0.1.5 |
latest source/ R- | NBR_0.1.5.tar.gz |
562.3 KiB |
0.1.5 |
2026-04-26 source/ R- | NBR_0.1.5.tar.gz |
562.3 KiB |
0.1.5 |
2026-04-23 source/ R- | NBR_0.1.5.tar.gz |
562.3 KiB |
0.1.5 |
2026-04-09 windows/windows R-4.5 | NBR_0.1.5.zip |
605.0 KiB |
0.1.5 |
2025-04-20 source/ R- | NBR_0.1.5.tar.gz |
562.3 KiB |