PyMVPA

PyMVPA is a Python package intended to ease statistical learning analyses of large datasets. It offers an extensible framework with a high-level interface to a broad range of algorithms for classification, regression, feature selection, data import and export. While it is not limited to the neuroimaging domain, it is eminently suited for such datasets. PyMVPA is truly free software (in every respect) and additionally requires nothing but free-software to run.

Specifications

Category:Algorithm or Reusable Library, Modeling, Frequency Domain, Independent Component Analysis, Multivariate Analysis, Principal Component Analysis, Linear, Nonlinear, Temporal Transformation, Workflow
License:MIT/X Consortium License
Development Status:4 - Beta
Diagnosis:Child Development Disorders, Pervasive, Diabetes Mellitus, Cocaine-Related Disorders
Domain:EEG/MEG/ECoG, MR, PET/SPECT
Environment:Console (Text Based), X11 Applications
Intended Audience:Developers, End Users
Natural Language:English
Operating System:OS Independent
Programming Language:C, Python
Supported Data Format:ANALYZE, NIfTI-1, Other Format

Associations

is part of:

Recent Activity

Show: 
Document Activity

PubMed Mentions documentation

Encoding, learning, and spatial updating of multiple object locations specified by 3-D sound, spatial language, and vision. posted by Nina Preuss on Dec 16, 2017

Document Activity

PubMed Mentions documentation

Ecological mechanisms for coexistence of colour polymorphism in a coral-reef fish: an experimental evaluation. posted by Nina Preuss on Dec 16, 2017

Document Activity

PubMed Mentions documentation

Exposure to a rotating virtual environment during treadmill locomotion causes adaptation in heading direction. posted by Nina Preuss on Dec 16, 2017

Document Activity

PubMed Mentions documentation

Eggshell composition of squamate reptiles: relationship between eggshell permeability and amino acid distribution. posted by Nina Preuss on Dec 16, 2017

Document Activity

PubMed Mentions documentation

Gene selection and classification of microarray data using random forest. posted by Nina Preuss on Dec 16, 2017

Document Activity

PubMed Mentions documentation

An artificial neural network for estimating haplotype frequencies. posted by Nina Preuss on Dec 16, 2017

Document Activity

PubMed Mentions documentation

Spatial analysis of elderly access to primary care services. posted by Nina Preuss on Dec 16, 2017

Document Activity

PubMed Mentions documentation

A method for analyzing strain differences in acquisition of IV cocaine self-administration in mice. posted by Nina Preuss on Dec 16, 2017

Document Activity

PubMed Mentions documentation

Mortality selection during the 2003 European heat wave in three-spined sticklebacks: effects of parasites and MHC genotype. posted by Nina Preuss on Dec 16, 2017

Document Activity

PubMed Mentions documentation

Image processing for electron microscopy single-particle analysis using XMIPP. posted by Nina Preuss on Dec 16, 2017