search

jhelvy / logitr

Fast estimation of multinomial (MNL) and mixed logit (MXL) models in R with "Preference" space or "Willingness-to-pay" (WTP) space utility parameterizations in R
https://jhelvy.github.io/logitr/
Other
42 stars 15 forks source link

Praise 🎉 #8

Open jhelvy opened 3 years ago

jhelvy commented 3 years ago

Funders and academic employers are increasingly interested in seeing evidence for the impact academic research generates. For software such as {logitr}, this is very hard to accomplish because the typical metrics for promotion and tenure that matter (publications, grants, and citations) don't really apply. The consequence is that there are increasingly fewer and fewer incentives to develop packages like {logitr} 😞

The good news is you can help! If you have found {logitr} useful in any regard, please leave feedback here for other users, funders, and employers to view. This helps the package authors show how {logitr} is being used by academic and non-academic users to increase their productivity and work quality.

So please contribute some praise 😁! Tell us how cool this package is and how you use it in your work!

And if you write a paper using {logitr}, please cite the JSS article on the package in your publications, see: citation("logitr")

shannonpileggi commented 3 years ago

Hey John! This package is a great modeling option for my toolkit, thank you!! 🙌

Schroeerbernd commented 3 years ago

Hey John, thanks a lot for your package! I'm currently using it to estimate a mixedlogit in wtp-space and it works very well.

salismustapha commented 1 year ago

Hello John Helveston, I really found logitr to very useful in analyzing my choice experiment data. I have enjoyed using it, and the prompt feedback I have received from you is great!

dnscharles commented 1 year ago

Hi! The documentation and examples provided with the {logitr} package are very clear. It makes my analysis of DCE data easier. Thanks a lot!