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Stan
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Stan

Overview
Synopsis

Stan is a state-of-the-art platform for statistical modeling and high-performance statistical computation. Thousands of users rely on Stan for statistical modeling, data analysis, and prediction in the social, biological, and physical sciences, engineering, and business.

Category

Statistical Software Free

Features

• Statistical modeling, data analysis, and prediction
• Full Bayesian statistical inference with MCMC sampling
•Approximate Bayesian inference with variational inference

License

Proprietary

Price

• Free

Pricing

Subscription

Free Trial

Available

Users Size

Small (<50 employees), Medium (50 to 1000 employees), Enterprise (>1001 employees)

Website
Company

Stan

What is best?

• Statistical modeling, data analysis, and prediction
• Full Bayesian statistical inference with MCMC sampling
•Approximate Bayesian inference with variational inference

PAT Rating™ ( Beta)
Editor Rating
Aggregated User Rating
Rate Here
Ease of use
7.6
6.5
Features & Functionality
7.5
Advanced Features
7.5
Integration
7.6
Performance
7.4
Training
Customer Support
7.4
Implementation
Renew & Recommend
Bottom Line

viSta is the visual statistics system which features statistical visualizations that are very interactive and highly active

7.5
Editor Rating
6.5
Aggregated User Rating
1 rating
You have rated this

Stan is an open source software and also freedom respecting which is mainly used for facilitating statistical inference at the frontiers of applied statistics. Stan platform usually is made capable by a number of allies who kindly support this platform, first of all, stan consists of the Stan development team which rather shows that the project is a team of effort comprised of full time and volunteer developers around the world, it consists of core developers for instance we have Andrew Gelman from Columbia University, Daniel Lee from the Stan group, Ben Goodrich also from Columbia University, Michael Betancourt from Columbia University, Aki Vehtari from Aalto Universityrzysztof Sakrejda from the University of Massachusetts and Rayleigh Lei from University of Michigan. Stan consists also of a funding team which is very important to the Stan existence, the funding organization has offered generous support of grants, foundations, and sponsors. Some of the donors include Google, research and development grants such as Max Planck institute for evolutionary Anthropology(Leipzig) and Alfred p.Sloan foundation.stan is also funded by some government grants such as U. S. office of naval research and U. S. institute of education sciences. Stan is also currently funded in part through consulting arrangements with the following corporations; Novartis, Alcon, and YouGov. Stan is now also now linked to NumFOCUS, a U.S. 501(c)(3) nonprofit organization that serves several other open-source software projects, including NumPy, Julia, Jupyter, and others. All financial decisions related to NumFOCUS are made by Stan’s Leadership Body for NumFOCUS: Julie Bertrand (INSERM), Michael Betancourt (Columbia University), Tamara Broderick (Massachusetts Institute of Technology),Bob Carpenter (Columbia University), Andrew Gelman (Columbia University), Dan Simpson (University of Bath), Elizabeth Wolkovich (Harvard University).

Stan
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Ease of use
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