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Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

Thorough analysis is crucial for effective software design, as it lays the groundwork for creating a program that not only saves time but also becomes a valuable investment. Our team is equipped to assess your business goals, available resources, personnel, and workflow in relation to software design, enabling us to craft a solution that not only meets your requirements but also surpasses your expectations. We recognize the challenges that come with implementing new software in a business setting and take pride in creating intuitive applications that do not necessitate extensive training for users. This approach to software development is advantageous as it alleviates the need for you to outline every specific detail of the final product. You retain the flexibility to make adjustments as development unfolds, ensuring that the outcome aligns with your vision. We provide regular invoices based on the actual time spent on development, and we finalize the project only when you are completely satisfied with the results. This collaborative process fosters a better understanding of your evolving needs, ultimately leading to a superior software solution.

Description

NLREG is an advanced statistical analysis tool designed for both linear and nonlinear regression analysis, as well as for fitting curves and surfaces. It identifies the optimal values of parameters for a user-defined equation, ensuring that it best aligns with a given set of data points. Capable of managing various function types, including linear, polynomial, exponential, logistic, periodic, and more general nonlinear forms, NLREG stands out because it can accommodate nearly any algebraically specified function. Unlike many other nonlinear regression tools that are restricted to a limited selection of functions, NLREG offers a comprehensive range of possibilities. The program incorporates a robust programming language with a syntax akin to C, allowing users to define the function to be fitted while enabling the computation of intermediate variables, the use of conditionals, and the implementation of iterative loops. Furthermore, NLREG simplifies the creation of piecewise functions that can adapt their form across different ranges. Additionally, the inclusion of arrays in the NLREG language facilitates the use of tabular lookup methods to designate the function, providing even greater flexibility for users in their analyses. Overall, NLREG is an invaluable asset for statisticians and data analysts seeking to conduct complex fitting tasks.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

No details available.

Integrations

No details available.

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Programs 101

Founded

1999

Website

www.programs101.com

Vendor Details

Company Name

NLREG

Website

www.nlreg.com

Product Features

Billing and Invoicing

Billing Portal
Contact Database
Contingency Billing
Customer Portal
Customizable Invoices
Dunning Management
Hourly Billing
Invoice History
Mobile Payments
Multi-Currency
Online Invoicing
Online Payments
Payment Processing
Project Billing
Recurring/Subscription Billing
Service Ticket Billing
Tax Calculator

Product 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

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