Package: MAT 2.3.2

Seung W. Choi

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
MAT_2.3.2.tar.gz(r-4.7-arm64)MAT_2.3.2.tar.gz(r-4.7-x86_64)MAT_2.3.2.tar.gz(r-4.6-arm64)MAT_2.3.2.tar.gz(r-4.6-x86_64)
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://cran.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 641 downloads 216 mentions 6 exports 2 dependencies

Last updated from:e868d2e1cb. Checks:6 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK127
linux-devel-x86_64OK121
source / vignettesOK174
linux-release-arm64OK130
linux-release-x86_64OK122
wasm-releaseOK115

Exports:MATprint.MATscore_cppSCORE_cppselectItem_cppsimM3PL

Dependencies:RcppRcppArmadillo