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Description

ASReml-SA is a robust statistical software specifically tailored for mixed models that utilize Residual Maximum Likelihood (REML) for parameter estimation. Linear mixed-effects models serve as a versatile and comprehensive method for analyzing numerous datasets frequently encountered in fields such as animal, plant, and aquatic breeding, as well as in agriculture, environmental sciences, and medical research. The newest version, ASReml-SA 4.2, boasts three times the memory capacity of its predecessor 4.1, allowing for significantly larger analytical tasks to be performed. With enhancements in parallel processing and the capability to allocate memory for specific operations, the software has also seen improvements in speed; a comparison table is provided below to illustrate the speed enhancements realized across various analyses. ASReml-SA 4.2 not only accelerates processing but also offers users the potential for optimized performance tailored to their specific hardware and analytical needs. Ultimately, these advancements reflect ASReml-SA's commitment to facilitating efficient and effective data analysis.

Description

Posit delivers a comprehensive ecosystem for modern data science, uniting open-source technologies with enterprise-grade collaboration and deployment tools. Positron, its free data-science IDE, blends the immediacy of a console with powerful debugging, editing, and production capabilities for Python and R developers. Posit’s suite of products allows organizations to securely host analytical content, automate reporting, and operationalize models with confidence. With strong support for open-source tooling, the company enables teams to build on transparent, extensible technologies they can fully trust. Cloud solutions simplify how users store, access, and scale their projects while maintaining reproducibility and governance. Customer success stories from organizations like Dow, PING, and the City of Reykjavík highlight the impact of Posit-powered applications in real-world environments. Posit also fosters a thriving community, offering resources, events, champions programs, and extensive documentation. Built by data scientists for data scientists, Posit helps teams adopt open-source data science practices at enterprise scale.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

ActiveScale Yes 
Coginiti No 
Jupyter Notebook No 
Positron No 
Python No 
R No 
RStudio No 
Snowflake Cortex AI No 
Visual Studio Code No 

Integrations

ActiveScale No 
Coginiti Yes 
Jupyter Notebook Yes 
Positron Yes 
Python Yes 
R Yes 
RStudio Yes 
Snowflake Cortex AI Yes 
Visual Studio Code Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial Yes 
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 No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person Yes 

Vendor Details

Company Name

VSN International

Founded

2000

Country

United Kingdom

Website

www.vsni.co.uk

Vendor Details

Company Name

Posit

Founded

2009

Country

United States

Website

posit.co

Product Features

Statistical Analysis

Analytics No 
Association Discovery Yes 
Compliance Tracking Yes 
File Management No 
File Storage Yes 
Forecasting No 
Multivariate Analysis No 
Regression Analysis No 
Statistical Process Control No 
Statistical Simulation Yes 
Survival Analysis No 
Time Series No 
Visualization No 

Product Features

Big Data

Collaboration No 
Data Blends No 
Data Cleansing No 
Data Mining No 
Data Visualization No 
Data Warehousing No 
High Volume Processing No 
No-Code Sandbox No 
Predictive Analytics No 
Templates No 

Data Science

Access Control No 
Advanced Modeling No 
Audit Logs No 
Data Discovery No 
Data Ingestion No 
Data Preparation No 
Data Visualization No 
Model Deployment No 
Reports No 

IDE

Code Completion No 
Compiler No 
Cross Platform Support No 
Debugger No 
Drag and Drop UI No 
Integrations and Plugins No 
Multi Language Support No 
Project Management No 
Text Editor / Code Editor No 

Machine Learning

Deep Learning No 
ML Algorithm Library No 
Model Training No 
Natural Language Processing (NLP) No 
Predictive Modeling No 
Statistical / Mathematical Tools No 
Templates No 
Visualization No 

Source Code Management

Access Controls/Permissions No 
Bug Tracking No 
Build Automation No 
Change Management No 
Code Review No 
Collaboration No 
Continuous Integration No 
Repository Management No 
Version Control No 

Statistical Analysis

Analytics No 
Association Discovery No 
Compliance Tracking No 
File Management No 
File Storage No 
Forecasting No 
Multivariate Analysis No 
Regression Analysis No 
Statistical Process Control No 
Statistical Simulation No 
Survival Analysis No 
Time Series No 
Visualization No 

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