Package: MAT 2.3.2

MAT: Multidimensional Adaptive Testing

Simulates Multidimensional Adaptive Testing using the multidimensional three-parameter logistic model as described in Segall (1996) <doi:10.1007/BF02294343>, van der Linden (1999) <doi:10.3102/10769986024004398>, Reckase (2009) <doi:10.1007/978-0-387-89976-3>, and Mulder & van der Linden (2009) <doi:10.1007/s11336-008-9097-5>.

Authors:Seung W. Choi and David R. King

MAT_2.3.2.tar.gz
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manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
MAT/json (API)

# Install 'MAT' in R:
install.packages('MAT', repos = c('https://choi-phd.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

3.44 score 55 scripts 568 downloads 216 mentions 6 exports 2 dependencies

Last updated from:e868d2e1cb. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK139
linux-devel-x86_64OK154
source / vignettesOK187
linux-release-arm64OK146
linux-release-x86_64OK146
macos-release-arm64OK107
macos-release-x86_64OK249
macos-oldrel-arm64OK95
macos-oldrel-x86_64OK283
windows-develOK172
windows-releaseOK135
windows-oldrelOK127
wasm-releaseOK107

Exports:MATprint.MATscore_cppSCORE_cppselectItem_cppsimM3PL

Dependencies:RcppRcppArmadillo