Data and R code for: Bayesian statistical to predict publishing output and article processing charge (APC) totals

Data and R code for Dixon and Schares, A Bayesian statistical model to predict publishing output and article processing charge (APC) totals.  The data are counts of the number of publications by ISU-related authors from 2016-2020 in journals published by Wiley and associated information.  The data are used to illustrate the use of a Bayesian statistical model to predict the number of articles and the total publication cost in a future year.  The R code implements that analysis.  The data and publication will be of interest to researchers in bibliometrics.  The data and R code will useful for anyone wanting to recreate the analyses in the associated publication or apply the model to new data.  The data will also be useful to anyone developing a new prediction method because that new method can be compared by using it with these data.