Package oro.dicom details
Rigorous - DICOM Input / Output
Data input/output functions for data that conform to the Digital Imaging and Communications in Medicine (DICOM) standard, part of the Rigorous Analytics bundle.
Maintainer: Brandon Whitcher < bwhitcher at gmail.com >
From within R, enter citation('oro.dicom')
If you have any problems with this package you can open a new issue or check the already existing ones here.
Versions(Pending - no previous version)
Stable
- Version: 0.5.2.2
- Continuous Integration
- UNIX
- OSX
- Windows
- UNIX
- Code Coverage:
- Internal Logs: Show
Current
| Version | Released | Submitted | Unix | OSX | Win | Coverage |
|---|---|---|---|---|---|---|
| 0.5.4.nc228 | 2023-01-18 10:30:25 |
| ||||
| 0.5.2.2 | 2020/05 2019/12 | 2021-03-31 10:00:00 |
|
To install this package, start R and enter:
source("https://neuroconductor.org/neurocLite.R")
# Default Install
neuro_install('oro.dicom')
# from GitHub
neuro_install('oro.dicom', release = "stable", release_repo = "github")
neuro_install('oro.dicom', release = "current", release_repo = "github")
More detailed installation instructions can be found here.
| Initially submitted on | October 1 2018 10:17AM |
| Last updated on | March 31 2021 10:00AM |
| Package type | standard |
| Source GitHub | https://github.com/bjw34032/oro.dicom GitHub |
| Neuroconductor GitHub | https://github.com/neuroconductor/oro.dicom GitHub |
| Depends | R (2.14.0) |
| Imports | utils, oro.nifti (0.4.0) |
| Suggests | testthat, hwriter |
| Reverse Imports | radtools, oro.pet (0.4.0), RIA (0.5.0), dti |
| Reverse Suggests | dcemriS4 (0.5.0) |
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