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Ratings and Reviews 0 Ratings
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NXG Logic Explorer is a robust machine learning application specifically designed for Windows, intended to simplify various aspects of data analysis, predictive modeling, class identification, and simulation tasks. By optimizing numerous workflows, it enables users to discover new trends in exploratory datasets while also facilitating hypothesis testing, simulations, and text mining, all aimed at extracting meaningful insights. Noteworthy functionalities include the automatic organization of chaotic Excel files, parallel feature evaluation for producing summary statistics, and conducting Shapiro-Wilk tests, histograms, and frequency calculations for both continuous and categorical variables. Additionally, the software allows for the concurrent application of ANOVA, Welch ANOVA, chi-squared, and Bartlett's tests across diverse variables, while also automatically generating multivariable linear, logistic, and Cox proportional hazards regression models based on a defined p-value threshold to refine results derived from univariate analyses. All these features make NXG Logic Explorer an indispensable resource for researchers and analysts looking to significantly elevate their data analysis proficiency, ultimately encouraging a deeper understanding of complex datasets.
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.
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
NXG Logic
Company Location
United States
Company Website
nxglogic.com/explorer.html
Company Facts
Organization Name
VSN International
Date Founded
2000
Company Location
United Kingdom
Company Website
www.vsni.co.uk
Categories and Features
Statistical Analysis
Analytics
Association Discovery
Compliance Tracking
File Management
File Storage
Forecasting
Multivariate Analysis
Regression Analysis
Statistical Process Control
Statistical Simulation
Survival Analysis
Time Series
Visualization
Categories and Features
Statistical Analysis
Analytics
Association Discovery
Compliance Tracking
File Management
File Storage
Forecasting
Multivariate Analysis
Regression Analysis
Statistical Process Control
Statistical Simulation
Survival Analysis
Time Series
Visualization