What is ASReml?
ASReml-SA is a sophisticated statistical software specifically designed for mixed models, employing Residual Maximum Likelihood (REML) for efficient parameter estimation. Its linear mixed-effects models are a powerful and adaptable resource for analyzing diverse datasets, commonly found in sectors such as animal, plant, and aqua breeding, along with agriculture, environmental sciences, and medical research. The latest iteration, ASReml-SA 4.2, features triple the memory capacity of version 4.1, allowing for the processing of much larger datasets without difficulty. Moreover, it has been enhanced for greater speed through the integration of parallel processing capabilities and focused memory allocation for various tasks, leading to significant performance gains. Users can refer to a comparison table that highlights the various speed improvements across different analyses. In addition to boosting processing speed, ASReml-SA 4.2 aims to deliver a more streamlined experience for its users. Nonetheless, the degree of these speed enhancements may vary due to numerous factors, such as the type of microprocessor in use, the machine's overall power, the dataset's size and characteristics, and the specific analyses performed. Consequently, users should consider these variables when evaluating the software's performance for their specific needs.
Integrations
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Screenshots and Video
Company Facts
Company Name:
VSN International
Date Founded:
2000
Company Location:
United Kingdom
Company Website:
www.vsni.co.uk
Product Details
Deployment
Windows
Training Options
Documentation Hub
Video Library
Support
Web-Based Support
Product Details
Target Company Sizes
Individual
1-10
11-50
51-200
201-500
501-1000
1001-5000
5001-10000
10001+
Target Organization Types
Mid Size Business
Small Business
Enterprise
Freelance
Nonprofit
Government
Startup
Supported Languages
English
ASReml Categories and Features
Statistical Analysis Software
Analytics
Association Discovery
Compliance Tracking
File Management
File Storage
Forecasting
Multivariate Analysis
Regression Analysis
Statistical Process Control
Statistical Simulation
Survival Analysis
Time Series
Visualization