Package: dina 2.0.3

James Joseph Balamuta

dina: Bayesian Estimation of DINA Model

Estimate the Deterministic Input, Noisy "And" Gate (DINA) cognitive diagnostic model parameters using the Gibbs sampler described by Culpepper (2015) <doi:10.3102/1076998615595403>.

Authors:Steven Andrew Culpepper [aut, cph], James Joseph Balamuta [aut, cre]

dina_2.0.3.tar.gz
dina_2.0.3.zip(r-4.7-x86_64)dina_2.0.3.zip(r-4.7-arm64)dina_2.0.3.zip(r-4.6-x86_64)dina_2.0.3.zip(r-4.6-arm64)
dina_2.0.3.tar.gz(r-4.7-arm64)dina_2.0.3.tar.gz(r-4.7-x86_64)dina_2.0.3.tar.gz(r-4.6-arm64)dina_2.0.3.tar.gz(r-4.6-x86_64)
dina_2.0.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
dina/json (API)

# Install 'dina' in R:
install.packages('dina', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/tmsalab/dina/issues

Pkgdown/docs site:https://tmsalab.github.io

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

openblascpp

1.70 score 1 stars 3 scripts 417 downloads 2 exports 4 dependencies

Last updated from:352735e7a4. Checks:10 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK97
linux-devel-x86_64OK121
source / vignettesOK188
linux-release-arm64OK92
linux-release-x86_64OK133
windows-devel-arm64OK208
windows-devel-x86_64OK166
windows-release-arm64OK227
windows-release-x86_64OK99
wasm-releaseOK266

Exports:dinaDINA_Gibbs

Dependencies:RcppRcppArmadillorgensimcdm