https://github.com/tmsalab/ohoegdm

Ordinal Higher-Order Exploratory General Diagnostic Models for Polytomous Data described by Culpepper and Balamuta (In Press) <doi:10.1080/00273171.2021.1985949>.
https://github.com/tmsalab/ohoegdm

diagnostic-model exploratory-diagnostic-models psychometrics r rstats

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Ordinal Higher-Order Exploratory General Diagnostic Models for Polytomous Data described by Culpepper and Balamuta (In Press) <doi:10.1080/00273171.2021.1985949>.

• Host: GitHub
• URL: https://github.com/tmsalab/ohoegdm
• Owner: tmsalab
• License: gpl-3.0
• Created: 2021-10-12T06:17:11.000Z (over 3 years ago)
• Default Branch: main
• Last Pushed: 2022-02-24T11:57:50.000Z (almost 3 years ago)
• Last Synced: 2024-03-26T10:03:10.117Z (10 months ago)
• Topics: diagnostic-model, exploratory-diagnostic-models, psychometrics, r, rstats
• Language: C++
• Homepage: https://tmsalab.github.io/ohoegdm/
• Size: 282 KB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.Rmd
  • License: LICENSE

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%"

)

```

# ohoegdm

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

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

The goal of `ohoegdm` is to provide an implementation of the

Ordinal Higher-order Exploratory General Diagnostic Model for Polytomous Data

as described by Culpepper and Balamuta (In Press).

## Installation

You can install the released version of ohoegdm from

[CRAN](https://CRAN.R-project.org) with:

``` r

install.packages("ohoegdm")

```

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

[GitHub](https://github.com/) using:

``` r

# install.packages("devtools")

devtools::install_github("tmsalab/ohoegdm")

```

## Usage

To use `ohoegdm`, load the package using:

```r

library("ohoegdm")

```

From here, the OHO-EGDM model can be estimated using:

```r

my_model = ohoegdm::ohoegdm(

  y = ,

  k = ,

  m = ,

  order = 

)

```

## Authors

Steven Andrew Culpepper and James Joseph Balamuta

## Citing the `ohoegdm` package

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

package if used during an analysis or simulation study. Citation

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

``` r

citation("ohoegdm")

```

## License

GPL (\>= 2)