SUPPORT.md

In data-edu/tidyLPA: Easily Carry Out Latent Profile Analysis (LPA) Using Open-Source or Commercial Software

Getting help with tidyLPA

Thanks for using tidyLPA. Before filing an issue, there are a few places to explore and pieces to put together to make the process as smooth as possible.

Start by making a minimal reproducible example using the reprex package. If you haven't heard of or used reprex before, you're in for a treat! Seriously, reprex will make all of your R- question-asking endeavors easier (which is a pretty insane ROI for the five to ten minutes it'll take you to learn what it's all about). For additional reprex pointers, check out the Get help! section of the tidyverse site.

One of the easiest but also most important ways to contribute is to post a question or to provide feedback. Both positive and negative feedback is welcome and helpful. You can get in touch by . . .

• Sending a message via [[e-mail]] (mailto:[e-mail]) or view the the tidyLPA group page (preferred)
• Filing an issue on GitHub here

Contributions are also welcome via by making pull requests (PR), e.g. through this page on GitHub. It may be easier if you first file an issue outlining what you will do in the PR. You can also reach out via the methods described above.

Please note that this project is released with a Contributor Code of Conduct. By participating in this project you agree to abide by its terms.

data-edu/tidyLPA documentation built on Feb. 24, 2024, 10:04 p.m.