The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

edina

Perform a Bayesian estimation of the Exploratory Deterministic Input, Noisy “And” Gate (EDINA) cognitive diagnostic model described by Chen et al. (2018).

Installation

You can install edina from CRAN using:

install.packages("edina")

Or, you can be on the cutting-edge development version on GitHub using:

if(!requireNamespace("devtools")) install.packages("devtools")
devtools::install_github("tmsalab/edina")

Usage

To use the edina package, load it into R using:

library("edina")

From there, the EDINA model can be estimated using:

edina_model = edina(<data>, chain_length = 10000)

To compute a model underneath different K attribute configured Q matrices, use:

edina_model = auto_edina(<data>, k = 2:4, chain_length = 10000)

Note: Higher K configured Q matrices take longer to estimate.

Authors

James Joseph Balamuta, Steven Andrew Culpepper, and Jeffrey A. Douglas

Citing the edina package

To ensure future development of the package, please cite edina package if used during an analysis or simulation studies. Citation information for the package may be acquired by using in R:

citation("edina")

License

GPL (>= 2)

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.