Transform datasets into parameter estimates of a general linear model fit.

This module provides the base class, as well as multiple implementations of a GLM based on different 3rd-party packages.

Inheritance diagram of mvpa2.mappers.glm


Dataset(samples[, sa, fa, a]) Generic storage class for datasets with multiple attributes.
GLMMapper(regs[, add_regs]) Transform a dataset into parameter estimates for a general linear model.
Mapper(\*\*kwargs) Basic mapper interface definition.
NiPyGLMMapper(regs[, glmfit_kwargs]) NiPy-based GLMMapper implementation
Parameter(default[, constraints, ro, index, ...]) This class shall serve as a representation of a parameter.
StatsmodelsGLMMapper(regs[, model_gen, results]) Statsmodels-based GLMMapper implementation