Created
October 27, 2022 09:29
-
-
Save lmassaron/493384b4d84e941860b766069fa1101e to your computer and use it in GitHub Desktop.
0-1 Beta regression
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| dealing with zeros and ones in a beta regression | |
| ------------------------------------------------ | |
| Smithson, M. & Verkuilen, J. | |
| A better lemon squeezer? Maximum-likelihood regression with beta-distributed dependent variables. | |
| Psychol. Methods 11, 54–71 (2006). | |
| DOI: 10.1037/1082-989X.11.1.54 | |
| https://stats.stackexchange.com/questions/31300/dealing-with-0-1-values-in-a-beta-regression | |
| zero-one inflated beta regression | |
| --------------------------------- | |
| This approach fits three separate models in a bayesian context. | |
| Model 1: Is a value a discrete 0/1, or is the value in (0,1)? Fit with a bernoulli distribution. | |
| Model 2: Fit discrete subset with a bernoulli distribution. | |
| Model 3: Fit (0,1) subset with beta regression. | |
| https://www.theanalysisfactor.com/zero-one-inflated-beta-models-for-proportion-data/ | |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment