SAS codes for LMG variable importance, Box-Cox transformation including interactions. Documentation and PowerPoint slides.

Directories under "Files" with descriptions:

NESUG 2014: "A Fast, High-Precision Implementation of the Univariate One-Parameter Box-Cox Transformation Using the Golden Section Search in SAS/IML®"

SESUG 2017: "Decomposing the R-squared of a Regression Using the Shapley value in SAS®"

SESUG 2019: "Conditionally Executing Data Steps and Statements Based on the Presence of Variables in a SAS® Dataset"

GASP 2020: "Online Winsorization of the Survey of Construction’s Price Estimates"

My SESUG 2015 materials can also be found in my project "constrainingarrays" at https://sourceforge.net/projects/constrainingarrays/.

Project Activity

See All Activity >

Categories

Statistics

License

Public Domain

Follow Chuck Coleman's SAS Codes

Chuck Coleman's SAS Codes Web Site

Other Useful Business Software
Build Agents and Models on One Platform Icon
Build Agents and Models on One Platform

Everything you need to build production-ready agents and models. Access 200+ Google and third-party AI models and tools.

Gemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
Try It Free
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of Chuck Coleman's SAS Codes!

Additional Project Details

Operating Systems

Linux, Mac, Windows

Registered

2019-08-02