nipy 0.1.999-1 source package in Ubuntu
Changelog
nipy (0.1.999-1) unstable; urgency=low * Alpha release in preparation for upcoming 0.2.0 release (Closes: #581394) * No changes within upstream codebase (Closes: #643225) * Do not unittest if nocheck is provided (Closes: #649620) * Boosted policy compliance to 3.9.2 -- no changes * Patch lucid-dsc-patch-nodoc to avoid trying to build -doc on lucid due to the failure to install needed build-depends -- Ubuntu Archive Auto-Sync <email address hidden> Mon, 26 Dec 2011 17:50:52 +0000
Upload details
- Uploaded by:
- Ubuntu Archive Auto-Sync
- Uploaded to:
- Precise
- Original maintainer:
- NeuroDebian Team
- Architectures:
- any all
- Section:
- python
- Urgency:
- Low Urgency
See full publishing history Publishing
Series | Published | Component | Section |
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Downloads
File | Size | SHA-256 Checksum |
---|---|---|
nipy_0.1.999.orig.tar.gz | 1.8 MiB | df785e6646a11dead192cbd3cb54fd91309496e38047e2619e9b49fc3c12e5e7 |
nipy_0.1.999-1.debian.tar.gz | 7.7 KiB | f9005148de1cc713871269d199decab42f969946e4a1a5795c0e4f82a850ab03 |
nipy_0.1.999-1.dsc | 1.7 KiB | 23497433ef0d8737487bdf3c9c5fd82a08f7b39fb3743338a373e550a3a828f2 |
Available diffs
Binary packages built by this source
- python-nipy: Analysis of structural and functional neuroimaging data
NiPy is a Python-based framework for the analysis of structural and
functional neuroimaging data. It provides functionality for
- General linear model (GLM) statistical analysis
- Combined slice time correction and motion correction
- General image registration routines with flexible cost functions,
optimizers and re-sampling schemes
- Image segmentation
- Basic visualization of results in 2D and 3D
- Basic time series diagnostics
- Clustering and activation pattern analysis across subjects
- Reproducibility analysis for group studies
- python-nipy-doc: documentation and examples for NiPy
This package contains NiPy documentation in various formats (HTML,
TXT) including
* User manual
* Developer guidelines
* API documentation
- python-nipy-lib: Analysis of structural and functional neuroimaging data
NiPy is a Python-based framework for the analysis of structural and
functional neuroimaging data.
.
This package provides architecture-dependent builds of the libraries.
- python-nipy-lib-dbg: Analysis of structural and functional neuroimaging data
NiPy is a Python-based framework for the analysis of structural and
functional neuroimaging data.
.
This package provides debugging symbols for architecture-dependent
builds of the libraries.