Statistics (Mathematical)

Servers with statistical and mathematical programs freely accessible for all University of Michigan students and faculty.

Information about the computing resources available through the University of Michigan Department of Statistics, including how to receive time on the High-Performance Computing cluster.

The Great Lakes Slurm cluster is a campus-wide computing cluster that serves the broad needs of researchers across the university.

The Consulting for Statistics, Computing & Analytics research have staff with expertise in many statistical and computation areas.

Consulting for Statistics, Computing & Analytics Research offer workshops in everything from software packages such as R and Stata to introductions to machine learning to a Structural Equation Modeling series.

Slides and resources used by CSCAR's Michael Clark while teaching workshops.

Slides and resources used by Kerby Shedden while teaching workshops.

List of software available through the University of Michigan, with information about specific availability.

Virtual machines available to University of Michigan students and faulty providing access to many software packages including R, SPSS, SAS, Minitab, and Stata.

Powerful open source language and software for statistical computing. Available through the University, check Sites Software List for locations.

Beginner friendly statistical analysis software. Available through the University, check Sites Software List for locations.

Statistical Analysis and data management software from IBM. Available through the University, check Sites Software List for locations.

Statistical software suite particularly useful for large datasets and memory intensive analyses. Available through the University, check Sites Software List for locations.

Statistical software capable of handling complex, stratified datasets and analyses. Available through the University, check Sites Software List for locations.