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.

AuthorAndrew Karl, Jennifer Broatch, and Jennifer Green
Date of publication2015-07-21 07:53:08
MaintainerAndrew Karl <akarl@asu.edu>
LicenseGPL-2
Version0.3-2

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Files

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

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