Difficulty adding loo criterion to longitudinal truncated normal model

[avehtari]

That log_lik matrix has +Inf values, and loo package silently passes them. +Inf values likely arise from the normalization term of the truncated likelihood (that is the integral of normal from 0 to 1) underflowing to 0, and then the untruncated likelihood values is divided by 0. It seems like truncated normal is not a good model, covariates have large values, or priors are to vague, so that the normal mean is smaller than 0 or larger than 1 and normal sd is so small, that the probability in the range from 0 to 1 is super small. Firstly, this is a problem with your model and secondly truncated likelihood computation in brms could be possibly made numerically better to not underflow or to provide warning in a case of underflow. Tagging @Florence_Bockting, who has recently worked on brms code related to this.