This script illustrates the use of the MI procedure to perform multiple imputation on a dataset containing missing values, using an MCMC (Markov Chain Monte Carlo) method.
This example demonstrates how to use an IF-THEN statement to count credit-qua...
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...
SAS library example illustrating the use of PROC GLM for the analysis of a sc...