R-package hopit: Hierarchical ordered probit models with application to reporting heterogeneity.

The hopit package provides R functions to fit and analyze ordered response data in the context of reporting heterogeneity.

Installation

Make sure you have the most recent version of R
Run the following code in your R console
```
install.packages("hopit") 
```

Updating to the latest version of `hopit` package

You can track (and contribute to) the development of hopit at https://github.com/MaciejDanko/hopit. To install it:

Install the release version of devtools from CRAN with install.packages("devtools").
Make sure you have a working development environment.
- Windows: Install Rtools.
- Mac: Install Xcode from the Mac App Store.
- Linux: Install a compiler and various development libraries (details vary across different flavors of Linux).
To install the development version of hopit run:
```
devtools::install_github("MaciejDanko/hopit")
```

Introduction

Get started with hopit by checking the vignette or run:

browseVignettes(package = "hopit")

Contributing

This software is an academic project. Any issues and pull requests are welcome. * If hopit is malfunctioning, please report the case by submitting an issue on GitHub.

References

Jurges H (2007). “True health vs response styles: exploring cross-country differences in self-reported health.” Health Economics, 16(2), pp. 163-178. doi: 10.1002/hec.1134.

Oksuzyan A, Danko MJ, Caputo J, Jasilionis D and Shkolnikov VM (2019). “Is the story about sensitive women and stoical men true? Gender differences in health after adjustment for reporting behavior.” Social Science & Medicine, 228, pp. 41-50. doi: 10.1016/j.socscimed.2019.03.002.