Predictive Analytics
Now Reading
OpenMx
0
Review

OpenMx

Overview
Synopsis

OpenMx is a free and open source software for use with R that allows estimation of a wide variety of advanced multivariate statistical models.

Category

Statistical Software Free

Features

• Integration with R
• Supports Popular Operating Systems
• Open Source
• Interactive Model Building
• Model Modification
• Flexible Reporting
• Multivariate Covariance Modeling
• Covariance Modeling With Means
• Full Information Maximum Likelihood
• Missing Data
• Categorical Threshold Estimation
• Multiple Groups
• Hierarchical Model Definition
• Multicore Computers
• Large Scale Distributed Processing
• Mixed Effects
• Matrix Algebra Calculations
• Parameter Equality Constraints
• Parameter Algebraic Constraints
• Nonlinear Inequality Constraints
• Procedural Model Specification
• User Specified Functions for Model Specification
• User Specified Objective Functions
• Community Wiki and Forums

License

Proprietary

Price

• Free

Pricing

Subscription

Free Trial

Available

Users Size

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

Website
Company

OpenMx

What is best?

• Integration with R
• Supports Popular Operating Systems
• Open Source
• Interactive Model Building
• Model Modification
• Flexible Reporting
• Multivariate Covariance Modeling

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

OpenMx is a free open source software for fitting Structural Equation Models (SEM) to observed data and offers the features users would expect in an SEM software package.

7.5
Editor Rating
Aggregated User Rating
You have rated this

OpenMx is a free and open source software for use with R that allows estimation of a wide variety of advanced multivariate statistical models. OpenMx consists of features such as a library of functions and optimizers that allow users to quickly and flexibly define an SEM model and estimate parameters given observed data. OpenMx runs on MacOS, Windows, and most varieties of Linux/GNU where the same scripts users write in Windows will run in MacOS or Linux. OpenMx can be used by those who think in terms of path models or by those who prefer to specify models in terms of matrix algebra. OpenMx is extremely powerful, taking full advantage of the R programming environment where complicated models and data sets can be specified and modified using the R language. OpenMx returns the results of user’s model estimation directly back into R where users can use all of R's reporting functions such as generating tables or graphs of their model parameters or fit statistics which users can generate tables of comparisons of nested fit statistics all within a single script. OpenMx estimates maximum likelihood parameters for models with multivariate outcomes given an observed covariance matrix where models can be specified to include latent variables. OpenMx also fits models to raw data using FIML. OpenMx uses OpenMP and the R package Snow to allow the multiple CPU cores in the user’s computer to operate in parallel on a task. These features are built into all FIML algorithms (continuous, ordinal and joint) which can be especially CPU intensive.

OpenMx
Statistical Software Free: Top Twenty
PAT Index™
 
1
SAS University Edition
 
2
GNU PSPP
 
3
Statistical Lab
 
4
Zelig
 
5
Dataplot
 
6
SOFA Statistics
 
7
Past
 
8
MaxStat Lite version
 
9
MacAnova
 
10
Gretl
 
11
NIMBLE
 
12
Arc
 
13
OpenMx
 
14
CumFreq
 
15
OpenStat
 
16
Develve
 
17
Shogun
 
18
IDAMS
 
19
DataMelt
 
20
GNU Octave
Heat Index
 
 
 
 
 
The Latest
 
Read More
269.75
Editor's Picks
 
 
 
 
Go To Statistical Software Free
Filter reviews
User Ratings





User Company size



User role





User industry





Ease of use
Features & Functionality
Advanced Features
Integration
Performance
Training
Customer Support
Implementation
Renew & Recommend

What's your reaction?
Love It
0%
Very Good
0%
INTERESTED
0%
COOL
0%
NOT BAD
0%
WHAT !
0%
HATE IT
0%