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https://github.com/tmsalab/simcdm

Simulate cognitive diagnostic model data for Deterministic Input, Noisy "And" Gate (DINA) and reduced Reparameterized Unified Model (rRUM) from Culpepper and Hudson (2017) <doi: 10.1177/0146621617707511>, Culpepper (2015) <doi:10.3102/1076998615595403>, and de la Torre (2009) <doi:10.3102/1076998607309474>.
https://github.com/tmsalab/simcdm

cognitive-diagnostic-models psychometrics r rcpp rcpparmadillo simulation

Last synced: 7 days ago
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Host: GitHub
URL: https://github.com/tmsalab/simcdm
Owner: tmsalab
Created: 2017-09-29T13:06:53.000Z (about 7 years ago)
Default Branch: main
Last Pushed: 2023-11-29T08:07:04.000Z (about 1 year ago)
Last Synced: 2024-08-09T04:58:36.266Z (5 months ago)
Topics: cognitive-diagnostic-models, psychometrics, r, rcpp, rcpparmadillo, simulation
Language: C++
Homepage: https://tmsalab.github.io/simcdm
Size: 242 KB
Stars: 0
Watchers: 3
Forks: 1
Open Issues: 4
Metadata Files:
- Readme: README.Rmd

Awesome Lists containing this project

README

        ---

output: github_document

---

```{r, echo = FALSE}

knitr::opts_chunk$set(

  collapse = TRUE,

  comment = "#>",

  fig.path = "README-"

)

```

# simcdm 

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

[![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)

[![CRAN Version Badge](https://www.r-pkg.org/badges/version/simcdm)](https://cran.r-project.org/package=simcdm)

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

[![RStudio CRAN Mirror's Monthly Downloads](https://cranlogs.r-pkg.org/badges/simcdm?color=brightgreen)](https://www.r-pkg.org/pkg/simcdm)

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

The goal of `simcdm` is to provide flexible ways to simulate data under

cognitive diagnostic models.

## Installation

You can install `simcdm` from GitHub with:

```{r}

#| label: gh-installation

#| eval: false

# install.packages("remotes")

remotes::install_github("tmsalab/simcdm")

```

## Usage

To use `simcdm`, load the package using:

```{r}

#| label: example

#| eval: false

library("simcdm")

```

## Overview

There are four distinct sets of functions within the package:

- Attributes: `attribute_classes()`, `attribute_bijection()`, `attribute_inv_bijection()`, and `sim_subject_attributes()`.

- Matrix: `sim_q_matrix()` and `sim_eta_matrix()`

- Deterministic Input, Noisy And Gate (DINA): `sim_dina_items()` and `sim_dina_attributes()`

- reduced Reparameterized Unified Model (rRUM): `sim_rrum_items()`

Functions that use random numbers to simulate values are named with the prefix of

`sim_*()`. This is done to allow for functions to be quickly identified and used

through autocomplete inside of the [RStudio IDE](https://posit.co/products/open-source/rstudio/) or 

[VS Code](https://code.visualstudio.com/). At a later time, the `attribute_*()`

will likely be moved to a different package.

For more details, please see the [package vignettes](vignettes/):

- [Overview of `simcdm`](https://tmsalab.github.io/simcdm/articles/overview-simcdm.html)

- [Using `simcdm` in R packages](https://tmsalab.github.io/simcdm/articles/simcdm-in-packages.html)

## Authors

James Joseph Balamuta and Steven Andrew Culpepper

with contributions from Aaron Hudson.

## Citing the simcdm package

To ensure future development of the package, please cite `simcdm` package if 

used during the analysis or simulations. Citation information for the package

may be acquired by using in _R_:

```{r, eval = FALSE}

citation("simcdm")

```

## License

GPL (>= 2)