About ASReml
ASReml is a suite of statistical software for fitting linear mixed models using Residual Maximum Likelihood (REML).
ASReml is a specialized statistical software suite from VSN International, focused on fitting linear mixed models using the REML (Residual Maximum Likelihood) method. It is a key tool for researchers, statisticians, and data scientists, particularly in genetics, agriculture, forestry, and aquaculture. The software is available in several forms: ASReml-SA (a standalone version), ASReml-R (an R package), and ASReml-Python (a new beta package), allowing integration into various analytical workflows. Its core strength lies in handling large, complex datasets to estimate variance components and predict breeding values, making it essential for modern breeding programs. While pricing is not publicly listed and requires a quote, the company offers trials and support through a contact form. The software is designed for technical users and is complemented by other VSNi products for a comprehensive research pipeline.
Pros & Cons
- Specialized for advanced linear mixed model analysis using REML.
- Available in multiple formats (Standalone, R, Python) to fit different workflows.
- Efficiently handles large and complex datasets for research and breeding.
- Widely used and respected in academia and industries like agriculture and genetics.
- Pricing is not publicly available and requires requesting a quote.
- Has a steep learning curve for users not familiar with mixed models or statistical programming.
- No direct email or phone number listed for support; requires using a web form.
Features
Key features
Fits complex linear mixed models using REML techniques.
Available as a standalone application (ASReml-SA), an R package (ASReml-R), and a Python package (ASReml-Python).
Efficiently analyzes large and complex datasets common in breeding and research.
Provides tools for quantitative genetics, including estimation of breeding values and variance components.
Complemented by other VSNi tools like CycDesigN for optimizing experimental designs.
Additional features
Utilizes Residual Maximum Likelihood for accurate variance component estimation.
Incorporates spatial models to account for field-level variations in agricultural trials.
Analyzes data from trials conducted across multiple locations or years.
Models the interaction between genotypes and their environments.
Used for genomic prediction and selection in plant and animal breeding programs.
Pricing
Countries & Languages
Interface languages
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About ASReml
ASReml is a suite of statistical software for fitting linear mixed models using Residual Maximum Likelihood (REML).
ASReml Details
ASReml's In-App Market Place
Does ASReml have an in-app market place?
Yes
How many Mini-Apps in the marketplace?
0
Mini Apps
Pricing Options
Accepted Payment Currencies
Pros & Cons
- Specialized for advanced linear mixed model analysis using REML.
- Available in multiple formats (Standalone, R, Python) to fit different workflows.
- Efficiently handles large and complex datasets for research and breeding.
- Widely used and respected in academia and industries like agriculture and genetics.
- Pricing is not publicly available and requires requesting a quote.
- Has a steep learning curve for users not familiar with mixed models or statistical programming.
- No direct email or phone number listed for support; requires using a web form.
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