Package sublime details
Automatic Lesion Incidence Estimation and Detection using Multi-Modality Longitudinal Magnetic Resonance Images
Creates probability maps of incident and enlarging lesion voxels from a baseline and followup magnetic resonance imaging study in patients with multiple sclerosis.
Maintainer: Elizabeth M. Sweeney < elizabethmargaretsweeney at gmail.com >
From within R, enter citation('sublime')
If you have any problems with this package you can open a new issue or check the already existing ones here.
- Version: 1.3
- Continuous Integration
- UNIX
- OSX
- Windows
- UNIX
- Code Coverage:
- Internal Logs: Show
| Version | Released | Submitted | Unix | OSX | Win | Coverage |
|---|---|---|---|---|---|---|
| 1.3 | 2020/05 2019/12 2019/07 2019/05 2019/02 2018/09 2018/02 2017/11 | 2021-03-31 10:00:00 |
|
To install this package, start R and enter:
source("https://neuroconductor.org/neurocLite.R")
# Default Install
neuro_install('sublime')
# from GitHub
neuro_install('sublime', release = "stable", release_repo = "github")
neuro_install('sublime', release = "current", release_repo = "github")
More detailed installation instructions can be found here.
| Initially submitted on | September 30 2018 12:51PM |
| Last updated on | March 31 2021 10:00AM |
| Package type | standard |
| Source GitHub | https://github.com/emsweene/SuBLIME_package GitHub |
| Neuroconductor GitHub | https://github.com/neuroconductor/sublime GitHub |
| Depends | oro.nifti |
| Imports | downloader, graphics, stats, grDevices, AnalyzeFMRI |
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