Package: fslview-doc Source: fslview Version: 3.1.2+4.1.4-1~squeeze.apsy1 Architecture: all Maintainer: Michael Hanke Installed-Size: 3216 Depends: qt3-assistant Homepage: http://www.fmrib.ox.ac.uk/fsl/fslview Priority: optional Section: doc Filename: pool/main/f/fslview/fslview-doc_3.1.2+4.1.4-1~squeeze.apsy1_all.deb Size: 2350692 SHA256: 028d053e55e1190d29cb8917478e58d3661cad0b96926e6cb974b198b2eff13f SHA1: b6ac7e1cf06d0b0752f8fd448b747eb5404370b9 MD5sum: 20f5ca803f3929437e0ecf658991bb8b Description: Documentation for FSLView This package provides the online documentation for FSLView. . FSLView is part of FSL. Package: libvia-doc Source: via Version: 1.5.2+svn3529-2~squeeze.apsy1 Architecture: all Maintainer: Michael Hanke Installed-Size: 936 Homepage: http://www.cbs.mpg.de/institute/software/lipsia Priority: optional Section: doc Filename: pool/main/v/via/libvia-doc_1.5.2+svn3529-2~squeeze.apsy1_all.deb Size: 94066 SHA256: 1752b66a601bd42bbb7e1a72e4291c5f1ad52a4c6ac9f10542ec80120e6c19aa SHA1: b7b1a225a94ecbbd06f93025b3036d9bdccf5407 MD5sum: 44cbc8735ae851b423d78788621bb922 Description: VIA library API documentation VIA is a volumetric image analysis suite. The included libraries provide about 70 image analysis functions. . This package provides the library API reference documentation. Package: lipsia-doc Source: lipsia Version: 1.5.0+svn3520-1~squeeze.apsy1 Architecture: all Maintainer: Michael Hanke Installed-Size: 6996 Homepage: http://www.cbs.mpg.de/institute/software/lipsia Priority: optional Section: doc Filename: pool/main/l/lipsia/lipsia-doc_1.5.0+svn3520-1~squeeze.apsy1_all.deb Size: 5542858 SHA256: c53509eb618a1aad01f0b6dee58f0a0c2ce70d192fc139707997c3cd9313689b SHA1: ec5716c8c97158c1609c05d0b7b6ab81e07a1479 MD5sum: 9e7cac66249d234115b1ecdf59018b3f Description: documentation for LIPSIA Leipzig Image Processing and Statistical Inference Algorithms (LIPSIA) . This package provides the LIPSIA documentation in HTML format. Package: python-mvpa Source: pymvpa Version: 0.4.2-1~squeeze.apsy1 Architecture: all Maintainer: Michael Hanke Installed-Size: 3888 Depends: python (>= 2.4), python-support (>= 0.90.0), python2.5, python-numpy, python-mvpa-lib (>= 0.4.2-1~squeeze.apsy1) Recommends: python-nifti, python-psyco, python-mdp, python-scipy, shogun-python-modular, python-pywt Suggests: fslview, fsl, python-matplotlib, python-nose, python-lxml, python-scikits-openopt, python-rpy Provides: python2.4-mvpa, python2.5-mvpa, python2.6-mvpa Homepage: http://www.pymvpa.org Priority: optional Section: python Filename: pool/main/p/pymvpa/python-mvpa_0.4.2-1~squeeze.apsy1_all.deb Size: 2118588 SHA256: 20c1c72b09eaa9a9eb9f7bc886f07370b8019dc245521c172aa559b9a67404ab SHA1: 9f8fa23694848c10022652d59c032afbe4573f68 MD5sum: a5dd430c4ac4bbd9efab956d17647be2 Description: multivariate pattern analysis with Python Python module to ease pattern classification analyses of large datasets. It provides high-level abstraction of typical processing steps (e.g. data preparation, classification, feature selection, generalization testing), a number of implementations of some popular algorithms (e.g. kNN, Ridge Regressions, Sparse Multinomial Logistic Regression), and bindings to external machine learning libraries (libsvm, shogun). . While it is not limited to neuroimaging data (e.g. fMRI, or EEG) it is eminently suited for such datasets. Python-Version: 2.4, 2.5, 2.6 Package: python-mvpa-doc Source: pymvpa Version: 0.4.2-1~squeeze.apsy1 Architecture: all Maintainer: Michael Hanke Installed-Size: 42192 Depends: libjs-jquery Suggests: python-mvpa Homepage: http://www.pymvpa.org Priority: optional Section: doc Filename: pool/main/p/pymvpa/python-mvpa-doc_0.4.2-1~squeeze.apsy1_all.deb Size: 10808400 SHA256: 8fbfca5988d94c6d2caa32cbe8e557a40a21dafca15ac03750a0a1731b38ec64 SHA1: 3fa1d2b87770ba8b1644e949347ee20b7c7f3ae1 MD5sum: cb7b97cad273ab89eb8d2d2849078b69 Description: documention and examples for PyMVPA PyMVPA documentation in various formats (HTML, TXT, PDF) including * User manual * Developer guidelines * API documentation . Additionally, all example scripts shipped with the PyMVPA sources are included.