Data Processing for Bayesian Dynamic System Modeling (Internal Function)
preprocess_data is a core code in the bdynsys package to prepare the data for the bayesian dynamic system modeling. It is internally called in the main code
bdynsys. It creates wide format matrixes for the indicators based on time and entity-id. It also reshapes the indicators into single columns ordered by time, computes the changes in the indicators at each timestep, reshapes them also into single colums ordered by time and stores them in variables. It furthermore removes missing values and scales the variables with their means. It returnes the processed variables to
bdynsys and that way makes them availabe for usage in
bdynsysbayesfac.It requires the package
Viktoria Spaiser: email@example.com
Want to suggest features or report bugs for rdrr.io? Use the GitHub issue tracker.