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
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dina_2.0.2.tgz(r-4.6-x86_64)dina_2.0.2.tgz(r-4.6-arm64)dina_2.0.2.tgz(r-4.5-x86_64)dina_2.0.2.tgz(r-4.5-arm64)
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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://tmsalab.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:

armadillo bayesian gibbs-sampler irt item-response-theory psychometrics rcpp rcpparmadillo openblas cpp

3.90 score 16 stars 3 scripts 484 downloads 2 exports 4 dependencies

Last updated from:b9011d75ed. Checks:13 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	OK	139
linux-devel-x86_64	OK	121
source / vignettes	OK	167
linux-release-arm64	OK	124
linux-release-x86_64	OK	128
macos-release-arm64	OK	81
macos-release-x86_64	OK	138
macos-oldrel-arm64	OK	104
macos-oldrel-x86_64	OK	184
windows-devel	OK	119
windows-release	OK	118
windows-oldrel	OK	115
wasm-release	OK	108