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GPvam (version 3.2-0)

Maximum Likelihood Estimation of Multiple Membership Mixed Models Used in Value-Added Modeling

Description

An EM algorithm, Karl et al. (2013) , is used to estimate the generalized, variable, and complete persistence models, Mariano et al. (2010) . 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.

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Version

Install

install.packages('GPvam')

Monthly Downloads

204

Version

3.2-0

License

GPL-2

Maintainer

Andrew T Karl

Last Published

December 12th, 2024

Functions in GPvam (3.2-0)

GPvam.benchmark

Benchmarks of the program using simulated data.
VP.CP.ZP.un

Internal R-side effects function for the variable persistence model.
print

Print
rGP.un

Internal R-side effects function for reduced GP model
summary

Summary
vam_data

Simulated Data
GP.csh

Internal G-side effects function
GP.un

Internal R-side effects function
bias.test.custom

Permutation Tests for Fixed Effects Bias Assessment
plot

Plot method for GPvam
GPvam

Fitting the Generalized and Variable Persistence Models
GPvam-package

Maximum Likelihood Estimation of Multiple Membership Mixed Models Used in Value-Added Modeling