BerkeleyBiostats/SuperLearner-SAS

Name: SuperLearner-SAS

Owner: BerkeleyBiostats

Description: SuperLearner SAS macro

Created: 2016-08-20 03:53:11.0

Updated: 2016-10-13 18:46:29.0

Pushed: 2016-08-20 04:33:07.0

Homepage: null

Size: 8

Language: SAS

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README

SuperLearner SAS macro

SuperLearner-SAS is a SAS implementation of the Super Learner algorithm, an ensemble learning algorithm, also referred to as Stacking.

Author: Jordan Brooks

Run the macro

The ./data folder is where the simulated data is deposited as a permanent SAS dataset. For data analyses, this is were the data sample would be deposited prior to analysis. It is empty and could be deleted, but anyone actually using the SAS code would need to create it again. Alternatively, SAS can be coded to check for the directory and then create it if does not already exist but I have not implemented that.


This work is supported by the National Institutes of Health's National Center for Advancing Translational Sciences, Grant Number U24TR002306. This work is solely the responsibility of the creators and does not necessarily represent the official views of the National Institutes of Health.