Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
AM is a powerful statistical software tool designed specifically for the analysis of data derived from complex samples, particularly for large-scale assessments. With its intuitive drag-and-drop interface, AM combines advanced statistical techniques with user-friendly features, including an integrated help system that guides users through the statistical processes and software navigation. We have prioritized making the installation process straightforward and the software itself easy to operate, though users may still encounter questions or challenges, which this resource aims to address. Currently, AM is in its Beta phase, and the latest Beta Version 0.06.00 introduces significant enhancements to its functionality. For the first time, users can generate statistical graphics, such as bar charts, line charts, and the innovative Sectioned Density Plot, which facilitates the comparison of distributions and represents an evolution from the traditional box-and-whisker plot. We are excited for future updates that will further enrich the graphic capabilities of the software, making it even more versatile for users. This continued development underscores our commitment to providing a robust analytical tool that evolves with user needs.
Description
Statsmodels is a Python library designed for the estimation of various statistical models, enabling users to perform statistical tests and explore data effectively. Each estimator comes with a comprehensive array of result statistics, which are validated against established statistical software to ensure accuracy. This package is distributed under the open-source Modified BSD (3-clause) license, promoting free use and modification. Users can specify models using R-style formulas or utilize pandas DataFrames for convenience. To discover available results, you can check dir(results), and you will find that attributes are detailed in results.__doc__, while methods include their own docstrings for further guidance. Additionally, numpy arrays can be employed as an alternative to formulas. For most users, the simplest way to install statsmodels is through the Anaconda distribution, which caters to data analysis and scientific computing across various platforms. Overall, statsmodels serves as a powerful tool for statisticians and data analysts alike.
API Access
Has API
No
API Access
Has API
Yes
Integrations
Anaconda
No
Python
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
Free
Free Trial
No
Free Version
Yes
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
American Institutes for Research
Country
United States
Website
am.air.org
Vendor Details
Company Name
statsmodels
Website
www.statsmodels.org/stable/index.html
Product Features
Statistical Analysis
Analytics
Yes
Association Discovery
Yes
Compliance Tracking
Yes
File Management
No
File Storage
Yes
Forecasting
No
Multivariate Analysis
No
Regression Analysis
Yes
Statistical Process Control
No
Statistical Simulation
Yes
Survival Analysis
No
Time Series
No
Visualization
No