To provide the most recent news and documentation www.pymvpa.org reflects the development 2.0 series (renamed 0.6 series) of PyMVPA. If you are interested in the documentation of the previous stable 0.4 series of PyMVPA, please visit v04.pymvpa.org.

mvpa2.measures.glm

The general linear model (GLM).

Classes

ConditionalAttribute([enabled])	Simple container intended to conditionally store the value
Dataset(samples[, sa, fa, a])	Generic storage class for datasets with multiple attributes.
FeaturewiseMeasure([null_dist])	A per-feature-measure computed from a Dataset (base class).
GLM(design[, voi])	General linear model (GLM).