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https://github.com/tmsalab/errum

Perform a Bayesian estimation of the Exploratory reduced Reparameterized Unified Model (errum) described by Culpepper and Chen (2018) <doi:10.3102/1076998618791306>.
https://github.com/tmsalab/errum

cognitive-diagnostic-modeling cpp ecdm item-response-theory psychometrics r rcpparmadillo rrum rstats

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Perform a Bayesian estimation of the Exploratory reduced Reparameterized Unified Model (errum) described by Culpepper and Chen (2018) <doi:10.3102/1076998618791306>.

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README

        

---
output: github_document
---

```{r, include = FALSE}
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>",
fig.path = "man/figures/README-",
out.width = "100%"
)
```

## errum

[![R build status](https://github.com/tmsalab/errum/workflows/R-CMD-check/badge.svg)](https://github.com/tmsalab/errum/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)
[![CRAN status](https://www.r-pkg.org/badges/version/errum)](https://CRAN.R-project.org/package=errum)

Perform a Bayesian estimation of the Exploratory reduced Reparameterized Unified
Model ('ErRUM') described by Culpepper and Chen (2018).

### Installation

You can install `errum` from CRAN using:

```{r cran-installation, eval = FALSE}
install.packages("errum")
```

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

```{r gh-installation, eval = FALSE}
if(!requireNamespace("remotes")) install.packages("remotes")
remotes::install_github("tmsalab/errum")
```

### Usage

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

```{r example, message = FALSE}
library("errum")
```

From there, the errum model can be estimated using:

```{r errum-est, eval = FALSE}
errum_model = errum(, , chain_length = 10000)
```

### Authors

James Joseph Balamuta, Steven Andrew Culpepper, and Jeffrey A. Douglas

### Citing the errum package

To ensure future development of the package, please cite `errum`
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("errum")
```

### License

GPL (>= 2)