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: | 3.0-5 |
| Depends: | R (≥ 3.2.0), Matrix |
| Imports: | numDeriv, Rcpp (≥ 0.11.2), graphics, grDevices, methods, stats, utils |
| LinkingTo: | Rcpp, RcppArmadillo |
| Published: | 2018-04-18 |
| Author: | Andrew Karl, Yan Yang, and Sharon Lohr |
| Maintainer: | Andrew Karl <akarl at asu.edu> |
| License: | GPL-2 |
| NeedsCompilation: | yes |
| Materials: | NEWS |
| CRAN checks: | GPvam results |
| Reference manual: | GPvam.pdf |
| Package source: | GPvam_3.0-5.tar.gz |
| Windows binaries: | r-devel: GPvam_3.0-5.zip, r-release: GPvam_3.0-5.zip, r-oldrel: GPvam_3.0-5.zip |
| macOS binaries: | r-release: GPvam_3.0-5.tgz, r-oldrel: GPvam_3.0-5.tgz |
| Old sources: | GPvam archive |
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