Hi,
In my research field (physical therapy/rehabilitation/sports science), there are many bounded outcome measures ranging from 0 to 1 that are the focus of predictions for making decisions for our patients.
I understand that beta regression can handle such data by restricting the predictions to the bounded range. However, I would like to know if it is possible to implement an ordinary regression model to predict these outcome measures within the orm()
function, while ensuring that the predictions, including confidence intervals, remain within the bounded limits.
Thank you in advance,
RubĂ©n Fernández MatĂas