https://github.com/tmsalab/edina

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>
https://github.com/tmsalab/edina

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

Last synced: 2 months ago
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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>

• Host: GitHub
• URL: https://github.com/tmsalab/edina
• Owner: tmsalab
• License: gpl-3.0
• Created: 2017-10-29T21:39:48.000Z (almost 8 years ago)
• Default Branch: master
• Last Pushed: 2020-07-24T20:17:21.000Z (about 5 years ago)
• Last Synced: 2024-03-26T10:03:10.064Z (over 1 year ago)
• Topics: cognitive-diagnostic-models, cpp, dina, ecdm, item-response-theory, psychometrics, r, rcpparmadillo, rstats
• Language: R
• Homepage: https://tmsalab.github.io/edina
• Size: 339 KB
• Stars: 2
• Watchers: 3
• Forks: 3
• Open Issues: 1
• Metadata Files:
  • Readme: README.Rmd
  • License: LICENSE.md

Awesome Lists containing this project

README

          
---

output: github_document

---

```{r, echo = FALSE}

knitr::opts_chunk$set(

  collapse = TRUE,

  comment = "#>",

  fig.path = "README-"

)

```

# edina

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[![CRAN Status](https://cranchecks.info/badges/worst/edina)](https://cran.r-project.org/web/checks/check_results_edina.html)

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[![RStudio CRAN Mirror's Total Downloads](http://cranlogs.r-pkg.org/badges/grand-total/edina?color=brightgreen)](http://www.r-pkg.org/pkg/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:

```{r cran-installation, eval = FALSE}

install.packages("edina")

```

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

```{r gh-installation, eval = FALSE}

if(!requireNamespace("devtools")) install.packages("devtools")

devtools::install_github("tmsalab/edina")

```

## Usage

To use the `edina` package, load it into _R_ using:

```{r example, message = FALSE}

library("edina")

```

From there, the EDINA model can be estimated using:

```{r edina-est, eval = FALSE}

edina_model = edina(, chain_length = 10000)

```

To compute a model underneath different _K_ attribute configured _Q_ matrices, use:

```{r edina-multiple, eval = FALSE}

edina_model = auto_edina(, 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*:

```{r, eval = FALSE}

citation("edina")

```

## License

GPL (>= 2)