CRAN/E | RealVAMS

RealVAMS

Multivariate VAM Fitting

Installation

About

Fits a multivariate value-added model (VAM), see Broatch, Green, and Karl (2018) doi:10.32614/RJ-2018-033 and Broatch and Lohr (2012) doi:10.3102/1076998610396900, with normally distributed test scores and a binary outcome indicator. A pseudo-likelihood approach, Wolfinger (1993) doi:10.1080/00949659308811554, is used for the estimation of this joint generalized linear mixed model. The inner loop of the pseudo-likelihood routine (estimation of a linear mixed model) occurs in the framework of the EM algorithm presented by Karl, Yang, and Lohr (2013) doi:10.1016/j.csda.2012.10.004. This material is based upon work supported by the National Science Foundation under grants DRL-1336027 and DRL-1336265.

Citation RealVAMS citation info

Key Metrics

Version 0.4-5
R ≥ 3.0.0
Published 2023-01-07 528 days ago
Needs compilation? yes
License GPL-2
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Maintainer

Maintainer

Andrew Karl

Authors

Andrew Karl

cre / aut

Jennifer Broatch

aut

Jennifer Green

aut

Material

NEWS
Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

RealVAMS archive

Depends

R ≥ 3.0.0
Matrix

Imports

numDeriv
Rcpp ≥ 0.11.2
methods
stats
utils
grDevices
graphics

LinkingTo

Rcpp
RcppArmadillo