Package fmri details

Analysis of fMRI Experiments

Contains R-functions to perform an fMRI analysis as described in Polzehl and Tabelow (2019) , Tabelow et al. (2006) , Polzehl et al. (2010) , Tabelow and Polzehl (2011) .

Maintainer: Karsten Tabelow < tabelow at wias-berlin.de >

Documentation

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://neuroconductor.org/neurocLite.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.