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

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Maximum likelihood estimators are obtained via an EM algorithm.

Author
Andrew Karl, Yan Yang, and Sharon Lohr
Date of publication
2015-07-20 09:59:53
Maintainer
Andrew Karl <akarl@asu.edu>
License
GPL-2
Version
3.0-3

View on CRAN

Man pages

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.
GPvam-package
Maximum Likelihood Estimation of Multiple Membership Mixed...
plot
Plot method for GPvam
print
Print
rGP.un
Internal R-side effects function for reduced GP model
summary
Summary
vam_data
Simulated Data
VP.CP.ZP.un
Internal R-side effects function for the variable persistence...

Files in this package

GPvam
GPvam/src
GPvam/src/Makevars
GPvam/src/R_mstep.cpp
GPvam/src/Makevars.win
GPvam/NAMESPACE
GPvam/NEWS
GPvam/data
GPvam/data/GPvam.benchmark.rda
GPvam/data/vam_data.rda
GPvam/R
GPvam/R/summary.GPvam.R
GPvam/R/plot.GPvam.R
GPvam/R/GP.un.R
GPvam/R/print.summary.GPvam.R
GPvam/R/print.GPvam.R
GPvam/R/GPvam.R
GPvam/R/VP.CP.ZP.un.r
GPvam/R/rGP.un.R
GPvam/R/GP.csh.R
GPvam/MD5
GPvam/DESCRIPTION
GPvam/man
GPvam/man/GPvam.benchmark.Rd
GPvam/man/GPvam.Rd
GPvam/man/vam_data.Rd
GPvam/man/VP.CP.ZP.un.Rd
GPvam/man/rGP.un.Rd
GPvam/man/GP.csh.Rd
GPvam/man/print.Rd
GPvam/man/plot.Rd
GPvam/man/GP.un.Rd
GPvam/man/summary.Rd
GPvam/man/GPvam-package.Rd