Overall we aim to bring intermediate users of regression modelling towards having skill and confidence in getting predictions which give nice visual summaries of the findings, including uncertainty about various special and/or spatial parameters.  Bayesian models are often used to obtain results in complex situations, such as population counts or time-use (minutes per day), so we explore basic and intermediate Bayesian methods using R and R Stan.