@Charles_Driver
Hi, I am working on a time-series analysis in which the time intervals are not equal and the number of observations are not large for about 1200 subjects.
My outcome and predictors both are ordinal not continuous. I tried a syntax in Stan and shared it here. Then I realized I need to add time as a continuous dynamic and end up reading your paper. I am looking also to obtain individual-based estimates for the autoregressive and lagged models. I appreciate it if you can add your input or guide me to incorporate continuous time. I am also reading your package, but to familiarize myself with all required maths and address ordinal response and predictors.
Thanks