preprocess_data: Data Processing for Bayesian Dynamic System Modeling...
In bdynsys: Bayesian Dynamical System Model
View source: R/preprocess_data.R
Description
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 bdynsysdysymod and bdynsysbayesfac.It requires the package plm and matrixStats.
Author(s)
Viktoria Spaiser: viktoria.sp@web.de
bdynsys documentation built on May 2, 2019, 9:42 a.m.
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View source: R/preprocess_data.R
Description
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 bdynsysdysymod and bdynsysbayesfac.It requires the package plm and matrixStats.
Author(s)
Viktoria Spaiser: viktoria.sp@web.de
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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