Struggling to choose between PAST - PAlaeontological STatistics and LIMDEP? Both products offer unique advantages, making it a tough decision.
PAST - PAlaeontological STatistics is a Science & Education solution with tags like paleontology, statistics, data-analysis, ecology, time-series-analysis.
It boasts features such as 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 pros including Free and open source, User-friendly graphical interface, Wide range of analytical tools, Active development and user community, Runs on Windows, Mac, and Linux.
On the other hand, LIMDEP is a Business & Commerce product tagged with econometrics, modeling, forecasting, regression, equations.
Its standout features include Regression analysis, Simultaneous equation models, Qualitative and limited dependent variable models, Time series analysis, Panel data analysis, Forecasting, Data manipulation and programming language, and it shines with pros like Wide range of econometric models supported, User-friendly interface, Good documentation and help files, Data management capabilities, Programming language for customization.
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.
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.
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.