AM

AM

American Institutes for Research
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About

AM is a statistical software package for analyzing data from complex samples, especially large-scale assessments. AM offers sophisticated statistics with an easy-to-use drag and drop interface, and an integrated help system that explains the statistics as well as how to use the system. We have taken great care to ensure that the AM product is easy to install and simple to use. However, you may still have questions or problems that you need answers to, and this is where you will find them. AM is still in Beta release, and the new Beta Version 0.06.00 adds substantial capability. For the first time, AM offers statistical graphics. Right now, it produces bar charts, line charts, and the new Sectioned Density Plot. The sectioned density plot is designed to compare distributions—we think of it as the next generation of the box-and-whisker plot. Look to future releases for expanded graphic capability.

About

statsmodels is a Python module that provides classes and functions for the estimation of many different statistical models, as well as for conducting statistical tests and statistical data exploration. An extensive list of result statistics is available for each estimator. The results are tested against existing statistical packages to ensure that they are correct. The package is released under the open-source Modified BSD (3-clause) license. statsmodels supports specifying models using R-style formulas and pandas DataFrames. Have a look at dir(results) to see available results. Attributes are described in results.__doc__ and results methods have their own docstrings. You can also use numpy arrays instead of formulas. The easiest way to install statsmodels is to install it as part of the Anaconda distribution, a cross-platform distribution for data analysis and scientific computing. This is the recommended installation method for most users.

Platforms Supported

Windows Supported
Mac Not Supported
Linux Not Supported
Cloud Not Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Supported
Mac Supported
Linux Supported
Cloud Not Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Labs seeking a statistical package solution for analyzing data from complex samples

Audience

Users and anyone in search of a solution to calculate the estimation of many different statistical models

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Not Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Pricing

Free
Free Version Supported
Free Trial Not Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

American Institutes for Research
United States
am.air.org

Company Information

statsmodels
www.statsmodels.org/stable/index.html

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Categories

Categories

Statistical Analysis Features

Analytics Supported
Association Discovery Supported
Compliance Tracking Supported
File Management Not Supported
File Storage Supported
Forecasting Not Supported
Multivariate Analysis Not Supported
Regression Analysis Supported
Statistical Process Control Not Supported
Statistical Simulation Supported
Survival Analysis Not Supported
Time Series Not Supported
Visualization Not Supported

Integrations

Anaconda Not Supported
Python Not Supported

Integrations

Anaconda Supported
Python Supported
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