lmm
Linear Mixed Models
It implements Expectation/Conditional Maximization Either (ECME) and rapidly converging algorithms as well as Bayesian inference for linear mixed models, which is described in Schafer, J.L. (1998) "Some improved procedures for linear mixed models". Dept. of Statistics, The Pennsylvania State University.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.4 |
rolling linux/jammy R-4.5 | lmm_1.4.tar.gz |
437.3 KiB |
1.4 |
rolling linux/noble R-4.5 | lmm_1.4.tar.gz |
440.8 KiB |
1.4 |
rolling source/ R- | lmm_1.4.tar.gz |
508.1 KiB |
1.4 |
latest linux/jammy R-4.5 | lmm_1.4.tar.gz |
437.3 KiB |
1.4 |
latest linux/noble R-4.5 | lmm_1.4.tar.gz |
440.8 KiB |
1.4 |
latest source/ R- | lmm_1.4.tar.gz |
508.1 KiB |
1.4 |
2026-04-26 source/ R- | lmm_1.4.tar.gz |
508.1 KiB |
1.4 |
2026-04-23 source/ R- | lmm_1.4.tar.gz |
508.1 KiB |
1.4 |
2026-04-09 windows/windows R-4.5 | lmm_1.4.zip |
447.3 KiB |
1.4 |
2025-04-20 source/ R- | lmm_1.4.tar.gz |
508.1 KiB |