Package: edina 0.1.2

James Joseph Balamuta

edina: Bayesian Estimation of an Exploratory Deterministic Input, Noisy and Gate Model

Perform a Bayesian estimation of the exploratory deterministic input, noisy and gate (EDINA) cognitive diagnostic model described by Chen et al. (2018) <doi:10.1007/s11336-017-9579-4>.

Authors:James Joseph Balamuta [aut, cre, cph], Steven Andrew Culpepper [aut, cph], Jeffrey A. Douglas [aut]

edina_0.1.2.tar.gz
edina_0.1.2.zip(r-4.7-x86_64)edina_0.1.2.zip(r-4.7-arm64)edina_0.1.2.zip(r-4.6-x86_64)edina_0.1.2.zip(r-4.6-arm64)
edina_0.1.2.tar.gz(r-4.7-arm64)edina_0.1.2.tar.gz(r-4.7-x86_64)edina_0.1.2.tar.gz(r-4.6-arm64)edina_0.1.2.tar.gz(r-4.6-x86_64)
edina_0.1.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
edina/json (API)

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

Bug tracker:https://github.com/tmsalab/edina/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 scripts 449 downloads 1 mentions 12 exports 26 dependencies

Last updated from:11b8e7cdd4. Checks:10 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK105
linux-devel-x86_64OK116
source / vignettesOK192
linux-release-arm64OK141
linux-release-x86_64OK130
windows-devel-arm64OK197
windows-devel-x86_64OK156
windows-release-arm64OK209
windows-release-x86_64OK115
wasm-releaseOK117

Exports:as_q_matrixauto_edinaautoplotbest_modelDICedinaextract_q_matrixmodel_selection_graphparameter_evolution_graphPPPq_graphq_matrix

Dependencies:clicpp11farverggplot2gluegtableisobandjjblabelinglifecyclemagrittrplyrR6RColorBrewerRcppRcppArmadilloreshape2rgenrlangS7scalesstringistringrvctrsviridisLitewithr

Readme and manuals

Help Manual

Help pageTopics
Coerce 'data.frame' and 'matrix' classes to Q Matrix.as_q_matrix as_q_matrix.data.frame as_q_matrix.default as_q_matrix.matrix
Auto EDINA model selection routineauto_edina
Graph the Auto EDINA Objectautoplot.auto_edina
Extract the Best Modelbest_model best_model.auto_edina
Bayesian Information Criterion (BIC)BIC.edina
Deviance Information Criterion (DIC)DIC DIC.edina
EDINA Estimation Routineedina
Extract Q Matrixextract_q_matrix extract_q_matrix.default extract_q_matrix.edina extract_q_matrix.q_matrix
View Model Selection Statistics Across Modelsmodel_selection_graph
View Slipping and Guessing Parameter Changes Across Modelsparameter_evolution_graph
Posterior Predictive Probabilities (PPPs)PPP PPP.edina
Print method for 'auto_edina'print.auto_edina
Printing out the EDINA Objectprint.edina
Printing out a Q Matrix Objectprint.q_matrix
Print the 'auto_edina' model summaryprint.summary_auto_edina
Printing out the Summary EDINA Objectprint.summary_edina
Graph Q Matrixq_graph q_graph.auto_edina q_graph.edina q_graph.matrix q_graph.q_matrix
Create a Q Matrix Objectq_matrix
Summarize 'auto_edina' model datasummary.auto_edina
Summarize the EDINA Objectsummary.edina