Software Alternatives & Reviews

Appricon Analysis Studio VS gretl

Compare Appricon Analysis Studio VS gretl and see what are their differences

Appricon Analysis Studio logo Appricon Analysis Studio

Analysis Studio is an intuitive statistical and data mining tool that includes automated regression modeling methods for gaining a high level of accuracy and

gretl logo gretl

homepage of gretl, the Gnu Regression, Econometrics and Time-series Library
  • Appricon Analysis Studio Landing page
    Landing page //
    2022-11-15
  • gretl Landing page
    Landing page //
    2023-10-17

Appricon Analysis Studio videos

No Appricon Analysis Studio videos yet. You could help us improve this page by suggesting one.

+ Add video

gretl videos

REGRESSION ANALYSIS BASICS, ASSUMPTIONS, GRETL

More videos:

  • Review - Granger causality with Gretl and eviews
  • Review - Performing our first regression analysis in Gretl

Category Popularity

0-100% (relative to Appricon Analysis Studio and gretl)
Technical Computing
36 36%
64% 64
Data Dashboard
42 42%
58% 58
Business & Commerce
33 33%
67% 67
Statistics
24 24%
76% 76

User comments

Share your experience with using Appricon Analysis Studio and gretl. For example, how are they different and which one is better?
Log in or Post with

What are some alternatives?

When comparing Appricon Analysis Studio and gretl, you can also consider the following products

EViews - EViews (Econometric Views) is a statistical package for Windows, used mainly for time-series...

Base SAS - Base SAS Software is an easy-to-learn fourth-generation programming language for data access, transformation and reporting.

Mplus - Mplus is a statistical modeling program used by social scientists, health researchers, market researchers, and educators.

NumXL - NumXL is a Microsoft Excel time series software add-in.

SAFE TOOLBOXES - SAFE TOOLBOXES is an Excel add-in that enhances Excel capabilities to perform simulations...

SHAZAM (statistical analysis) - SHAZAM is a comprehensive computer program for econometricians, statisticians, biometricians, sociometricians, psychometricians, politicometricians and others who use statistical techniques.