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features
design
support

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Write a Review

Description

The QMSys GUM Software is designed for assessing the uncertainty inherent in physical measurements, chemical analyses, and calibration processes. It employs three distinct methodologies to compute measurement uncertainty. The first, GUF Method for linear models, targets linear and quasi-linear models, aligning with the GUM Uncertainty Framework. This approach calculates partial derivatives, representing the initial terms of a Taylor series, to ascertain sensitivity coefficients for the equivalent linear model, followed by the determination of combined standard uncertainty using the Gaussian error propagation law. The second, GUF Method for nonlinear models, caters to nonlinear models where results exhibit symmetric distribution. This method incorporates various numerical techniques, including nonlinear sensitivity analysis and higher-order sensitivity indices, as well as quasi-Monte Carlo simulations utilizing Sobol sequences. With its multifaceted approach, the software provides comprehensive tools for uncertainty analysis across different measurement contexts.

Description

R is a comprehensive environment and programming language tailored for statistical analysis and graphical representation. As a part of the GNU project, it shares similarities with the S language, which was originally designed by John Chambers and his team at Bell Laboratories, now known as Lucent Technologies. Essentially, R serves as an alternative implementation of S, and while there are notable distinctions between the two, a significant amount of S code can be executed in R without modification. This versatile language offers a broad spectrum of statistical methods, including both linear and nonlinear modeling, classical statistical tests, time-series analytics, classification, and clustering, among others, and it boasts a high level of extensibility. The S language is frequently utilized in research focused on statistical methodologies, and R presents an Open Source avenue for engaging in this field. Moreover, one of R's key advantages lies in its capability to generate high-quality publication-ready graphics, facilitating the inclusion of mathematical symbols and formulas as needed, which enhances its usability for researchers and analysts alike. Ultimately, R continues to be a powerful tool for those seeking to explore and visualize data effectively.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Artelys Knitro No 
Batteries Included No 
Claude Sonnet 3.7 No 
CodeConvert No 
CodePal No 
CodeSession No 
GPT-4o No 
GPT-5.6 Luna No 
GPT‑5-Codex No 
Gemini Pro No 
Grok 4.1 Fast No 
Holo4 No 
IBM SPSS Modeler No 
Llama 4 Behemoth No 
MLlib No 
Macrobond No 
ScrapFly No 
TeamStation No 
Yandex Cloud Functions No 
Zerve AI No 

Integrations

Artelys Knitro Yes 
Batteries Included Yes 
Claude Sonnet 3.7 Yes 
CodeConvert Yes 
CodePal Yes 
CodeSession Yes 
GPT-4o Yes 
GPT-5.6 Luna Yes 
GPT‑5-Codex Yes 
Gemini Pro Yes 
Grok 4.1 Fast Yes 
Holo4 Yes 
IBM SPSS Modeler Yes 
Llama 4 Behemoth Yes 
MLlib Yes 
Macrobond Yes 
ScrapFly Yes 
TeamStation Yes 
Yandex Cloud Functions Yes 
Zerve AI Yes 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Pricing Details

Free
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 Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook Yes 

Customer Support

Business Hours Yes 
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 Yes 

Types of Training

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

Vendor Details

Company Name

Qualisyst

Founded

1994

Country

Bulgaria

Website

www.qsyst.com/qualisyst_en.htm

Vendor Details

Company Name

The R Foundation

Website

www.r-project.org

Product Features

Statistical Analysis

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

Product Features

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