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)edina_0.1.2.zip(r-4.6)edina_0.1.2.zip(r-4.5)
edina_0.1.2.tgz(r-4.6-x86_64)edina_0.1.2.tgz(r-4.6-arm64)edina_0.1.2.tgz(r-4.5-x86_64)edina_0.1.2.tgz(r-4.5-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✨
card.svg |card.png
edina/json (API)
NEWS

# Install 'edina' in R:

install.packages('edina', repos = c('https://tmsalab.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:

cognitive-diagnostic-models cpp dina ecdm item-response-theory psychometrics rcpparmadillo openblas cpp

3.18 score 3 stars 1 scripts 376 downloads 1 mentions 12 exports 26 dependencies

Last updated from:aeb012df22. Checks:13 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	OK	146
linux-devel-x86_64	OK	141
source / vignettes	OK	179
linux-release-arm64	OK	152
linux-release-x86_64	OK	120
macos-release-arm64	OK	111
macos-release-x86_64	OK	217
macos-oldrel-arm64	OK	99
macos-oldrel-x86_64	OK	215
windows-devel	OK	116
windows-release	OK	118
windows-oldrel	OK	117
wasm-release	OK	100

Exports:as_q_matrix auto_edina autoplot best_model DIC edina extract_q_matrix model_selection_graph parameter_evolution_graph PPP q_graph q_matrix

Dependencies:cli cpp11 farver ggplot2 glue gtable isoband jjb labeling lifecycle magrittr plyr R6 RColorBrewer Rcpp RcppArmadillo reshape2 rgen rlang S7 scales stringi stringr vctrs viridisLite withr

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
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 routine	auto_edina
Graph the Auto EDINA Object	autoplot.auto_edina
Extract the Best Model	best_model best_model.auto_edina
Bayesian Information Criterion (BIC)	BIC.edina
Deviance Information Criterion (DIC)	DIC DIC.edina
EDINA Estimation Routine	edina
Extract Q Matrix	extract_q_matrix extract_q_matrix.default extract_q_matrix.edina extract_q_matrix.q_matrix
View Model Selection Statistics Across Models	model_selection_graph
View Slipping and Guessing Parameter Changes Across Models	parameter_evolution_graph
Posterior Predictive Probabilities (PPPs)	PPP PPP.edina
Print method for 'auto_edina'	print.auto_edina
Printing out the EDINA Object	print.edina
Printing out a Q Matrix Object	print.q_matrix
Print the 'auto_edina' model summary	print.summary_auto_edina
Printing out the Summary EDINA Object	print.summary_edina
Graph Q Matrix	q_graph q_graph.auto_edina q_graph.edina q_graph.matrix q_graph.q_matrix
Create a Q Matrix Object	q_matrix
Summarize 'auto_edina' model data	summary.auto_edina
Summarize the EDINA Object	summary.edina