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


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Documentation for package ‘GPvam’ version 3.3-0

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GPvam-package Maximum Likelihood Estimation of Multiple Membership Mixed Models
bias.test.custom Assess Potential Fixed-Effect Bias with a Permutation Diagnostic
coef.GPvam Extract components of a fitted GPvam model
fitted.GPvam Extract components of a fitted GPvam model
GPvam Fit a Generalized or Variable Persistence Model
GPvam-methods Extract components of a fitted GPvam model
GPvam.benchmark Historical Runtime and Memory Benchmarks
logLik.GPvam Extract components of a fitted GPvam model
nobs.GPvam Extract components of a fitted GPvam model
plot.GPvam Plot Teacher Effects and Residuals from a GPvam Model
print.GPvam Print a Fitted GPvam Model
print.summary.GPvam Print a Fitted GPvam Model
residuals.GPvam Extract components of a fitted GPvam model
summary.GPvam Summarize a Fitted GPvam Model
vam_data Simulated Value-Added Data
vcov.GPvam Extract components of a fitted GPvam model