Apophenia For Mac Publisher's description
from Apophenia Team
Apophenia is an open statistical library for working with data sets and statistical models.
Apophenia is an open statistical library for working with data sets and statistical models. It provides functions on the same level as those of the typical stats package (such as OLS, probit, 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.)
It 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.
What's New in This Release:The apop_PMF model has more support:
В· New supporting functions: apop_data_pmf_compress, apop_model_to_pmf
functions that took apop_histogram models now take apop_pmfs as well:
В· apop_test_chi_squared_goodness_of_fit, apop_test_kolmogorov
В· Consider the apop_histogram to be deprecated. Only two associated functions were removed; see below.
apop_histogram_plot is removed. Replace with:
В· fprintf(apop_opts.output_pipe, "plot '-' using 1:3 with boxes\n");
В· fprintf(apop_opts.output_pipe, "e\n");
В· apop_histogram_print was a bad idea to begin with, because it basically replicates
В· gsl_histogram_fprintf. Use apop_model_print(your_histogram), which calls gsl_histogram_fprintf,
В· or call that function directly. The only difference: the GSL function prints
В· [start of bin] [end of bin] [value]
В· and apop_histogram print showed
В· [start of bin] [value]
System Requirements:No special requirements.
Program Release Status: Minor Update
Program Install Support: Install and Uninstall