Skip to main content

Export of FSL statistical results using NIDM as specified at http://nidm.nidash.org/specs/nidm-results.html.

Project description

Export of FSL FEAT statistical results using the NeuroImaging Data Model (NIDM Results).

Install

$ pip install nidmfsl

Usage

$ nidmfsl [-h] [-g [GROUP_NAMES [GROUP_NAMES ...]]] [-o OUTPUT_NAME] [-d] [-v [VERSION]] feat_dir [numsubjects [numsubjects ...]]

Requirements

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

nidmfsl-0.3.6-py2-none-any.whl (20.4 kB view details)

Uploaded Python 2

File details

Details for the file nidmfsl-0.3.6-py2-none-any.whl.

File metadata

File hashes

Hashes for nidmfsl-0.3.6-py2-none-any.whl
Algorithm Hash digest
SHA256 638a5547aa3e988ebe73f48eb2ab4c872784204b74a7dcc222da594055588bbd
MD5 6fb355b1ca0d9dd7499f7a3e8c4dd8eb
BLAKE2b-256 67b79453f73d82eb4df330fbef4263b56a3f0b2ac7fadc9bfbc67ea53f98f628

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page