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RealVAMS (version 0.4-6)

Multivariate VAM Fitting

Description

Fits a multivariate value-added model (VAM), see Broatch, Green, and Karl (2018) and Broatch and Lohr (2012) , with normally distributed test scores and a binary outcome indicator. A pseudo-likelihood approach, Wolfinger (1993) , is used for the estimation of this joint generalized linear mixed model. The inner loop of the pseudo-likelihood routine (estimation of a linear mixed model) occurs in the framework of the EM algorithm presented by Karl, Yang, and Lohr (2013) . This material is based upon work supported by the National Science Foundation under grants DRL-1336027 and DRL-1336265.

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Version

Install

install.packages('RealVAMS')

Monthly Downloads

172

Version

0.4-6

License

GPL-2

Maintainer

Andrew T Karl

Last Published

April 5th, 2024

Functions in RealVAMS (0.4-6)

plot

Plot method for RealVAMS
print

Print
REML_Rm

Internal function
vp_cp

Internal function
R_mstep2

Internal function
summary

Summary
example.score.data

Simulated Data
example.outcome.data

Simulated Data
RealVAMS-package

Multivariate VAM Fitting
RealVAMS

Multivariate VAM Fitting