Average Ratings 0 Ratings
Average Ratings 0 Ratings
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
SmartstatXL: Comprehensive Statistical Analysis Within Excel.
Harness the complete capacity of your data using SmartstatXL, an Excel add-in that effortlessly incorporates advanced statistical analysis into your well-known spreadsheet platform. This innovative tool aims to streamline your data evaluation workflow by merging the powerful features of statistical software with the user-friendly nature of Excel.
Noteworthy Characteristics of SmartstatXL:
• Seamless Excel Integration: Conduct intricate data evaluations right inside Excel. SmartstatXL’s seamless integration enables you to utilize Excel’s capabilities while accessing sophisticated statistical tools, eliminating the hassle of toggling between different software.
• Broad Range of Analytical Tools: SmartstatXL is packed with an extensive selection of features that cater to various analytical needs, including Descriptive Statistics, Normality Tests, Hypothesis Tests (like t-Tests and z-Tests), and advanced techniques such as Correlation, Regression, ANOVA, Time Series Analysis, Reliability Assessments, Factor Analysis, PCA, and Discriminant Analysis, ensuring all your statistical needs are met efficiently.
With SmartstatXL, you can elevate your data analysis to new heights without sacrificing the comfort of your existing tools.
API Access
Has API
No
API Access
Has API
No
Screenshots View All
No images available
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
$5
Free Trial
No
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
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
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
No
Vendor Details
Company Name
VSN International
Founded
2000
Country
United Kingdom
Website
www.vsni.co.uk
Vendor Details
Company Name
Smartstat
Founded
2021
Country
Indonesia
Website
www.smartstat.info
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
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