Types defined by Apophenia.
Modules
Typedefs
Detailed Description
The basic story for a statistical analysis is that the researcher assembles a data set into an
apop_data structure, then sends it to an
apop_model so that the model's parameters can be estimated, and that is returned in an
apop_model structure.
Supporting these main structures are a few more structures you'd only have to worry about for fine tuning.
- Data The apop_data structure adds a touch of metadata on top of the basic
gsl_matrix and gsl_vector. It includes an apop_name structure, and a table for non-numeric variables. See apop_data.
- Names The apop_name structure holds some metatadata for the apop_data struct. It has four main components: a list of column names, a list of row names, a vector name, and a list of text column names. Functions that take an apop_data set will try to automatically handle the names for you.
- Models The apop_model structure encapsulates a description of the world in which the data and the parameters produce observed outcomes. The apop_estimate function takes in data and an un-parametrizes model and outputs a parametrized model. See models, or the full declaration of the structure on the apop_model page.
Typedef Documentation
A description of a parametrized statistical model, including the input settings and the output parameters, expected values, et cetera. The full declaration is given in the _apop_model page, see the longer discussion on the models page, or see the apop_ols page for a sample program that uses an apop_model.
Autogenerated by doxygen on 28 Aug 2009.