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63 Buyers are Negotiating "Group Buyer Deal"

Stan USP

The main USP of Stan Statistical Analysis Software is it is a state-of-the-art platform for all the computational needs about statistics. It is also useful in probability density function. It supports multiple algorithms for calculation and optimizes the result for faster decision making. It supports automatic differentiation also. Request Stan Pricing to get more information.

Summary

Stan Statistical Analysis Software is a statistical modelling and high-performance statistical computing platform. It is helpful in statistical modelling, data analysis, and prediction in the social, biological, physical sciences, and business. It is named in the honour of Stanislaw Ulam, the scientist who is considered as a pioneer of the Monte Carlo Method. It is written in C++ and provides an interactive statistical inference.

Stan Pricing

There is no particular model followed for Stan pricing. It is licensed under the new BSD license and is available as open-source software. Lack of any Stan pricing makes it more accessible on a large scale and popular one. It is a powerful and agile statistical software package. However, anyone can contribute to making it more comprehensive and advanced. For the best pricing plans, contact the vendor. 

Stan Demo

Stan Statistical Analysis Software is available as open-source software under the new BSD license. Thus, there is no particular model followed for Stan pricing. It is available on a free to use basis for all the users and does not require any additional or hidden cost. Stan is a high functioning software that is both reliable and produces concrete findings and thus enables faster decision making.

Stan Features

Here are some of the outstanding features of Stan Statistical Analysis Software:

Easily accessible: It can be accessed through a varied number of interfaces like CmdStan and RStan. It can be easily integrated with Stata and Julia programming language

Efficient probabilistic programming language: It supports full Bayesian statistical inference. Provides estimation with optimization and MCMC sampling. Comes with the additional variational interface

Fully feature-packed platform: The inbuilt library supports differentiable probability function. Supports linear algebra. Additional R packages can be installed for expression-based linear modelling and posterior visualization

Supports multiple languages: Works efficiently with all the major data analysis languages like R, Python, MATLAB, Julia etc. Runs on all major platforms like Windows, Linux and Mac

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“I am looking for a Statistical Analysis Software in north America. My budget is $50,000. Looking to buy in 15 days.”
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Strengths
  • +9
    Data Visualization
  • +11
    Risk Data Attributes
  • +10
    Survival Analysis
  • +12
    Hypothesis Testing
  • +8
    Language Support
  • +12
    Maintenance & Troubleshoot
  • +13
    ANOVA Support
  • +8
    Data Sampling
  • +10
    On-Premise
  • +12
    Cost Analysis
  • +5
    Artificial Neural Networks
  • +6
    Consulting
  • +13
    Data Ingestion & Wrangling
  • +9
    Data Preparation
  • +10
    Deep Learning
  • +7
    Drag and Drop Interface
  • +5
    Live Support Chat
  • +14
    Model Training
  • +6
    Pre-Built Algorithms
  • +11
    Statistical Modeling
Weaknesses
  • -13
    System Integration
  • -14
    Ticketing
  • -9
    Cloud, Web-based, SaaS
  • -7
    Collaboration
  • -11
    Hybrid
  • -6
    Quality Control
  • -14
    Regression
  • -5
    Time Series Analysis

Stan Reviews

user-icon

Buyer, Healthcare, SME

2
May 11, 2020

“Can be used in a wide variety of fields”

It can be used in multiple and varied fields like social science, pharmaceutical statistics, market research, and medical imaging. Thus, it is a versatile solution.
Useful (0) Not useful (0)
user-icon

Buyer, Education, SME

1
May 11, 2020

“Community support”

Availability of vast community support and proper documentation makes it more suitable and preferable.
Useful (0) Not useful (0)
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