https://github.com/tmsalab/edmcore

🚨[WIP]🚨Classes and Algorithms used across Exploratory Diagnostic Modeling Framework
https://github.com/tmsalab/edmcore

cdm cognitive-diagnostic-models psychometrics r

Last synced: 26 days ago
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🚨[WIP]🚨Classes and Algorithms used across Exploratory Diagnostic Modeling Framework

• Host: GitHub
• URL: https://github.com/tmsalab/edmcore
• Owner: tmsalab
• Created: 2018-01-30T17:12:15.000Z (almost 7 years ago)
• Default Branch: main
• Last Pushed: 2021-08-29T06:18:21.000Z (over 3 years ago)
• Last Synced: 2024-12-14T00:08:23.672Z (28 days ago)
• Topics: cdm, cognitive-diagnostic-models, psychometrics, r
• Language: R
• Homepage: https://tmsalab.github.io/edmcore
• Size: 372 KB
• Stars: 0
• Watchers: 2
• Forks: 1
• Open Issues: 3
• Metadata Files:
  • Readme: README.Rmd

Awesome Lists containing this project

README

        
---

output: github_document

---

```{r, include = FALSE}

knitr::opts_chunk$set(

  collapse = TRUE,

  comment = "#>",

  fig.path = "man/figures/README-",

  out.width = "100%"

)

```

# edmcore

[![R build status](https://github.com/tmsalab/edmcore/workflows/R-CMD-check/badge.svg)](https://github.com/tmsalab/edmcore/actions)

[![Package-License](http://img.shields.io/badge/license-GPL%20\(%3E=2\)-brightgreen.svg?style=flat)](http://www.gnu.org/licenses/gpl-2.0.html)

[![Codecov test coverage](https://codecov.io/gh/tmsalab/edmcore/branch/master/graph/badge.svg)](https://codecov.io/gh/tmsalab/edmcore?branch=master)

The goal of `edmcore` is to house a set of functions shared by many packages

within the exploratory cognitive diagnostic modeling framework.

## Installation

You can install the released version of edmcore from [CRAN](https://CRAN.R-project.org) with:

``` r

install.packages("edmcore")

```

And the development version from [GitHub](https://github.com/) with:

``` r

# install.packages("devtools")

devtools::install_github("tmsalab/edmcore")

```

## Usage

To use `edmcore`, load the package using:

``` r

library("edmcore")

```

## Overview

The package contains class structure shared between different estimation

units.

In particular, we have: 

- EDM Classes

  - `new_edm_model()`, `new_edm_summary()`, and `new_edm_default_property_list()`.

- Attributes

  - `attribute_classes()`, `attribute_bijection()`, `attribute_inv_bijection()`, `attribute_gen_bijection()`, and `attribute_inv_gen_bijection()`.

- Q Matrix

  - `q_matrix()`/`as_q_matrix()`, `read_q_matrix()`, `is_q_matrix()`, `is_q_strict()`, and

    `is_q_generic()`.

- Item Matrix

  - `item_matrix()`/`as_item_matrix()`, `read_item_matrix()`, and `is_item_matrix()`.

- Metrics

  - `metric_mode()`, `metric_bias()`, `metric_frobenius_norm()`, `metric_element_wise()`, and

    `metric_matrix_wise()`.

- Permutations 

- Link Functions

  - `link_probit()`, `link_probit_inv()`, `link_logit()`, `link_logit_inv()`,

    `theta_to_beta()`, `theta_probit_to_beta()`, and `theta_logit_to_beta()`.

## Authors

James Joseph Balamuta, Steven Andrew Culpepper, and Jeffrey Douglas

## Citing the `edmcore` package

To ensure future development of the package, please cite `edmcore`

package if used during the analysis or simulations. Citation information

for the package may be acquired by using in *R*:

``` r

citation("edmcore")

```

## License

GPL (\>= 2)