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: 3 months 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 (over 7 years ago)
- Default Branch: main
- Last Pushed: 2021-08-29T06:18:21.000Z (almost 4 years ago)
- Last Synced: 2025-03-28T16:48:04.169Z (3 months ago)
- Topics: cdm, cognitive-diagnostic-models, psychometrics, r
- Language: R
- Homepage: https://tmsalab.github.io/edmcore
- Size: 372 KB
- Stars: 0
- Watchers: 1
- 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
[](https://github.com/tmsalab/edmcore/actions)
[-brightgreen.svg?style=flat)](http://www.gnu.org/licenses/gpl-2.0.html)
[](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)