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README.Rmd
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---
output: github_document
---
<!-- README.md is generated from README.Rmd. Please edit that file -->
```{r, include = FALSE}
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>",
fig.path = "man/figures/README-",
out.width = "100%"
)
```
# hmcdm
<!-- badges: start -->
[![R-CMD-check](https://github.com/tmsalab/hmcdm/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/tmsalab/hmcdm/actions/workflows/R-CMD-check.yaml)
[![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)
<!-- badges: end -->
The goal of `hmcdm` is to provide an implementation of Hidden Markov Cognitive Diagnosis Models for Learning.
## Installation
You can install `hmcdm` from CRAN using:
```{r cran-installation, eval = FALSE}
install.packages("hmcdm")
```
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/hmcdm")
```
## Usage
To use `hmcdm`, load the package using:
```{r example, eval = FALSE}
library("hmcdm")
```
## Authors
Susu Zhang, Shiyu Wang, Yinghan Chen, and Sunbeom Kwon
## Citing the hmcdm package
To ensure future development of the package, please cite `hmcdm`
package if used during an analysis or simulation study. Citation information
for the package may be acquired by using in *R*:
```{r, eval = FALSE}
citation("hmcdm")
```
## License
GPL (>= 2)