Package: dina 2.0.2

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_2.0.2.tar.gz
dina_2.0.2.tar.gz(r-4.7-arm64)dina_2.0.2.tar.gz(r-4.7-x86_64)dina_2.0.2.tar.gz(r-4.6-arm64)dina_2.0.2.tar.gz(r-4.6-x86_64)
dina_2.0.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
dina/json (API)
NEWS

# 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 484 downloads 2 exports 4 dependencies

Last updated from:26ea36dc34. Checks:6 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK123
linux-devel-x86_64OK132
source / vignettesOK227
linux-release-arm64OK131
linux-release-x86_64OK146
wasm-releaseOK117

Exports:dinaDINA_Gibbs

Dependencies:RcppRcppArmadillorgensimcdm