Package fmri details
Analysis of fMRI Experiments
Contains R-functions to perform an fMRI analysis as
described in Polzehl and Tabelow (2019)
Maintainer: Karsten Tabelow < tabelow at wias-berlin.de >
From within R, enter citation('fmri')
To cite fmri in publications use:
Karsten Tabelow, Joerg Polzehl (2011). Statistical Parametric Maps
for Functional MRI Experiments in R: The Package fmri. Journal of
Statistical Software, 44(11), 1-21. URL
http://www.jstatsoft.org/v44/i11/.
For the underlying structural adaptive smoothing method please cite:
Karsten Tabelow, Joerg Polzehl, Henning U. Voss, Vladimir Spokoiny
(2006). Analyzing fMRI experiments with structural adaptive smoothing
procedures. NeuroImage, 33(1), 55-62.
doi:10.1016/j.neuroimage.2006.06.029
For the underlying structural adaptive segmentation method please cite:
Karsten Tabelow, Joerg Polzehl, Henning U. Voss, Vladimir Spokoiny
(2006). Structural adaptive segmentation for statistical parametric
mapping. NeuroImage, 52(2), 515-523.
doi:10.1016/j.neuroimage.2010.04.241
To see these entries in BibTeX format, use 'print(,
bibtex=TRUE)', 'toBibtex(.)', or set
'options(citation.bibtex.max=999)'.
If you have any problems with this package you can open a new issue or check the already existing ones here.
To install this package, start R and enter:
source("https://.org/Lite.R")
# Default Install
neuro_install('fmri')
# from GitHub
neuro_install('fmri', release = "stable", release_repo = "github")
neuro_install('fmri', release = "current", release_repo = "github")
More detailed installation instructions can be found here.
Initially submitted on | September 27 2018 12:52PM |
Last updated on | October 15 2020 2:50PM |
Package type | standard |
Source GitHub | https://github.com/WIAS-BERLIN/fmri.git GitHub |
GitHub | https://github.com//fmri GitHub |