Apophenia An open statistical library for working with data sets and statistical models
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library computing library computing scientific library statistics library apophenia

Apophenia Description

An open statistical library for working with data sets and statistical models Apophenia is a free scientific computing library that provides functions on the same level as those of the typical stats package (such as probit, OLS, or singular value decomposition) but gives the user more flexibility to be creative in model-building. The core functions are written in C, but bindings exist for Python (and they should be easy to bind to in Perl/Ruby/&c.) Apophenia is written to scale well, to comfortably work with gigabyte data sets or computationally-intensive agent-based models. If you have tried using other open source tools for computationally demanding work and found that those tools weren't up to the task, then Apophenia is the library for you. Here are some key features of "Apophenia": · OLS and family, discrete choice models like probit and logit, kernel density estimators, and other common models · database querying and maintenance utilities · moments, percentiles, and other basic stats utilities · t-tests, F-tests, et cetera · Several optimization methods available for your own new models · It does not re-implement basic matrix operations or build yet another database engine. Instead, it builds upon the excellent GNU Scientific and SQLite libraries. MySQL is also supported.

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