GPvam
Maximum Likelihood Estimation of Multiple Membership Mixed Models Used in Value-Added Modeling
An EM algorithm, Karl et al. (2013) <doi:10.1016/j.csda.2012.10.004>, is used to estimate the generalized, variable, and complete persistence models, Mariano et al. (2010) <doi:10.3102/1076998609346967>. These are multiple-membership linear mixed models with teachers modeled as "G-side" effects and students modeled with either "G-side" or "R-side" effects.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
3.2-0 |
rolling source/ R- | GPvam_3.2-0.tar.gz |
108.5 KiB |
3.2-0 |
rolling linux/jammy R-4.5 | GPvam_3.2-0.tar.gz |
340.9 KiB |
3.2-0 |
rolling linux/noble R-4.5 | GPvam_3.2-0.tar.gz |
343.7 KiB |
3.2-0 |
latest source/ R- | GPvam_3.2-0.tar.gz |
108.5 KiB |
3.2-0 |
latest linux/jammy R-4.5 | GPvam_3.2-0.tar.gz |
340.9 KiB |
3.2-0 |
latest linux/noble R-4.5 | GPvam_3.2-0.tar.gz |
343.7 KiB |
3.2-0 |
2026-04-23 source/ R- | GPvam_3.2-0.tar.gz |
108.5 KiB |
3.2-0 |
2026-04-09 windows/windows R-4.5 | GPvam_3.2-0.zip |
665.2 KiB |
3.2-0 |
2025-04-20 source/ R- | GPvam_3.2-0.tar.gz |
108.5 KiB |