This feature of the BINNING procedure allows grouping continuous or categorical variables into categories (bins) and calculating the Weight of Evidence (WOE) as well as the Information Value (IV) for each bin. It is essential for data preparation ...
This example demonstrates how to use an IF-THEN statement to count credit-qua...
This script illustrates the use of the MI procedure to perform multiple imput...
This script illustrates the use of the MI procedure to impute missing values ...
This script performs multiple imputation on a fitness dataset containing miss...
This script illustrates the use of the MI (Multiple Imputation) procedure to ...
Analysis of a random coefficients model using the MIXED procedure to simulate...
This SAS script analyzes data from a sprinkler irrigation experiment using a ...
Analyzes a dataset to detect a change point using Bayesian modeling with the ...
This SAS script uses PROC MCMC to perform normal regression with interval cen...
This script illustrates regression analysis on a dataset with missing values,...
Example of using PROC HPGENSELECT to model data with a binomial distribution,...
Creates a decision tree using the HPSPLIT procedure on randomly generated dat...