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

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

## Documentation for package ‘GPvam’ version 3.2-0

- DESCRIPTION file
- Package NEWS

## Help Pages

GPvam-package | Maximum Likelihood Estimation of Multiple Membership Mixed Models Used in Value-Added Modeling
bias.test.custom | Permutation Tests for Fixed Effects Bias Assessment
GP.csh | Internal G-side effects function
GP.un | Internal R-side effects function
GPvam | Fitting the Generalized and Variable Persistence Models
GPvam.benchmark | Benchmarks of the program using simulated data.
plot.GPvam | Plot method for GPvam
print.GPvam | Print
print.summary.GPvam | Print
rGP.un | Internal R-side effects function for reduced GP model
summary.GPvam | Summary
vam_data | Simulated Data
VP.CP.ZP.un | Internal R-side effects function for the variable persistence model.