GPvam: Maximum Likelihood Estimation of Multiple Membership MixedModels 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.
| Version: | 3.2-0 |
| Depends: | R (≥ 3.2.0),Matrix |
| Imports: | numDeriv,rlang,Rcpp (≥ 0.11.2), graphics, grDevices, methods, stats, utils,ggplot2,patchwork,MASS |
| LinkingTo: | Rcpp,RcppArmadillo |
| Published: | 2024-12-12 |
| DOI: | 10.32614/CRAN.package.GPvam |
| Author: | Andrew Karl [cre, aut], Yan Yang [aut], Sharon Lohr [aut] |
| Maintainer: | Andrew Karl <akarl at asu.edu> |
| License: | GPL-2 |
| NeedsCompilation: | yes |
| Materials: | NEWS |
| CRAN checks: | GPvam results |
Documentation:
Downloads:
Linking:
Please use the canonical formhttps://CRAN.R-project.org/package=GPvamto link to this page.