RealVAMS: Multivariate VAM Fitting

The RealVAMs package fits a multivariate value-added model (VAM) (see Broatch and Lohr 2012) with normally distributed test scores and a binary outcome indicator. This material is based upon work supported by the National Science Foundation under grants DRL-1336027 and DRL-1336265.

Author
Andrew Karl, Jennifer Broatch, and Jennifer Green
Date of publication
2015-07-21 07:53:08
Maintainer
Andrew Karl <akarl@asu.edu>
License
GPL-2
Version
0.3-2

View on CRAN

Man pages

example.outcome.data
Simulated Data
example.score.data
Simulated Data
RealVAMS
Multivariate VAM Fitting
RealVAMS-package
Multivariate VAM Fitting
R_mstep2
Internal function
vp_cp
Internal function

Files in this package

RealVAMS
RealVAMS/src
RealVAMS/src/Makevars
RealVAMS/src/R_mstep.cpp
RealVAMS/src/Makevars.win
RealVAMS/NAMESPACE
RealVAMS/NEWS
RealVAMS/data
RealVAMS/data/example.score.data.RData
RealVAMS/data/example.outcome.data.RData
RealVAMS/R
RealVAMS/R/RealVAMS.R
RealVAMS/R/R_mstep2.R
RealVAMS/R/vp_cp.R
RealVAMS/MD5
RealVAMS/DESCRIPTION
RealVAMS/man
RealVAMS/man/R_mstep2.Rd
RealVAMS/man/vp_cp.Rd
RealVAMS/man/RealVAMS-package.Rd
RealVAMS/man/example.score.data.Rd
RealVAMS/man/RealVAMS.Rd
RealVAMS/man/example.outcome.data.Rd