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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MAT_2.3.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
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

3.45 score 57 scripts 613 downloads 216 mentions 6 exports 2 dependencies

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

TargetResultTimeFilesSyslog
linux-devel-arm64OK170
linux-devel-x86_64OK127
source / vignettesOK183
linux-release-arm64OK165
linux-release-x86_64OK119
macos-release-arm64OK115
macos-release-x86_64OK234
macos-oldrel-arm64OK83
macos-oldrel-x86_64OK171
windows-develOK147
windows-releaseOK108
windows-oldrelOK126
wasm-releaseOK110

Exports:MATprint.MATscore_cppSCORE_cppselectItem_cppsimM3PL

Dependencies:RcppRcppArmadillo