rlme
Rank-Based Estimation and Prediction in Random Effects Nested Models
Estimates robust rank-based fixed effects and predicts robust random effects in two- and three- level random effects nested models. The methodology is described in Bilgic & Susmann (2013) <https://journal.r-project.org/archive/2013/RJ-2013-027/>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.5 |
rolling linux/jammy R-4.5 | rlme_0.5.tar.gz |
332.3 KiB |
0.5 |
rolling linux/noble R-4.5 | rlme_0.5.tar.gz |
335.3 KiB |
0.5 |
rolling source/ R- | rlme_0.5.tar.gz |
72.9 KiB |
0.5 |
latest linux/jammy R-4.5 | rlme_0.5.tar.gz |
332.3 KiB |
0.5 |
latest linux/noble R-4.5 | rlme_0.5.tar.gz |
335.3 KiB |
0.5 |
latest source/ R- | rlme_0.5.tar.gz |
72.9 KiB |
0.5 |
2026-04-26 source/ R- | rlme_0.5.tar.gz |
72.9 KiB |
0.5 |
2026-04-23 source/ R- | rlme_0.5.tar.gz |
72.9 KiB |
0.5 |
2026-04-09 windows/windows R-4.5 | rlme_0.5.zip |
654.2 KiB |
0.5 |
2025-04-20 source/ R- | rlme_0.5.tar.gz |
72.9 KiB |