Struggling to choose between LIMDEP and PAST - PAlaeontological STatistics? Both products offer unique advantages, making it a tough decision.
LIMDEP is a Business & Commerce solution with tags like econometrics, modeling, forecasting, regression, equations.
It boasts features such as Regression analysis, Simultaneous equation models, Qualitative and limited dependent variable models, Time series analysis, Panel data analysis, Forecasting, Data manipulation and programming language and pros including Wide range of econometric models supported, User-friendly interface, Good documentation and help files, Data management capabilities, Programming language for customization.
On the other hand, PAST - PAlaeontological STatistics is a Science & Education product tagged with paleontology, statistics, data-analysis, ecology, time-series-analysis.
Its standout features include Statistical analysis of paleontological data, Data manipulation and transformation, Univariate and multivariate statistics, Ecological analysis, Time series analysis, Phylogenetic comparative methods, Geometric morphometrics, Plotting and graphing, and it shines with pros like Free and open source, User-friendly graphical interface, Wide range of analytical tools, Active development and user community, Runs on Windows, Mac, and Linux.
To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.
LIMDEP is econometrics software used for economic modeling and forecasting. It has tools for estimating a wide variety of models including regression, simultaneous equations, qualitative response, time series, panel data, and more.
PAST is a free, open-source software package for scientific data analysis, with specific tools for paleontologists. It includes functions for data manipulation, plotting, univariate and multivariate statistics, ecological analysis, time series analysis, trait analysis, and more.