Package: RealVAMS 0.5.0

RealVAMS: Multivariate VAM Fitting

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.

Authors:Andrew Karl [cre, aut], Jennifer Broatch [aut], Jennifer Green [aut]

RealVAMS_0.5.0.tar.gz
RealVAMS_0.5.0.zip(r-4.7-x86_64)RealVAMS_0.5.0.zip(r-4.7-arm64)RealVAMS_0.5.0.zip(r-4.6-x86_64)RealVAMS_0.5.0.zip(r-4.6-arm64)RealVAMS_0.5.0.zip(r-4.5-x86_64)
RealVAMS_0.5.0.tgz(r-4.6-x86_64)RealVAMS_0.5.0.tgz(r-4.6-arm64)RealVAMS_0.5.0.tgz(r-4.5-x86_64)RealVAMS_0.5.0.tgz(r-4.5-arm64)
RealVAMS_0.5.0.tar.gz(r-4.7-arm64)RealVAMS_0.5.0.tar.gz(r-4.7-x86_64)RealVAMS_0.5.0.tar.gz(r-4.6-arm64)RealVAMS_0.5.0.tar.gz(r-4.6-x86_64)
RealVAMS_0.5.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
RealVAMS/json (API)

# Install 'RealVAMS' in R:
install.packages('RealVAMS', repos = c('https://akarl46556.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
Datasets:

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

openblascpp

1.00 score 6 scripts 259 downloads 1 exports 5 dependencies

Last updated from:29a736a3ed. Checks:15 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK202
linux-devel-x86_64OK165
source / vignettesOK238
linux-release-arm64OK197
linux-release-x86_64OK203
macos-release-arm64OK192
macos-release-x86_64OK329
macos-oldrel-arm64OK169
macos-oldrel-x86_64OK368
windows-devel-arm64OK296
windows-devel-x86_64OK226
windows-release-arm64OK295
windows-release-x86_64OK173
windows-oldrel-x86_64OK194
wasm-releaseOK125

Exports:RealVAMS

Dependencies:latticeMatrixnumDerivRcppRcppArmadillo

Readme and manuals

Help Manual

Help pageTopics
Multivariate VAM FittingRealVAMS-package
Simulated Dataexample.outcome.data
Simulated Dataexample.score.data
Plot a RealVAMS fitplot.RealVAMS
Print a RealVAMS fit or summaryprint.RealVAMS print.summary.RealVAMS
Multivariate VAM FittingRealVAMS
Summarize a RealVAMS fitsummary.RealVAMS