Package fmri details

Analysis of fMRI Experiments

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

Maintainer: Karsten Tabelow < tabelow at >

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

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.

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.

To see these entries in BibTeX format, use 'print(,
bibtex=TRUE)', 'toBibtex(.)', or set


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:


# Default Install

# From the Binary Repo in NeuroC
neuro_install('fmri', release = "stable", release_repo = binary_release_repo(release = "stable"))
neuro_install('fmri', release = "current", release_repo = binary_release_repo(release = "current"))

# 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 September 2 2019 12:03AM
Package type standard
Source GitHub GitHub
Neuroconductor GitHub GitHub
DependsR (3.2.0), awsMethods(>=1.1-1), nlme
Importsparallel, metafor, methods, aws
Suggeststcltk, tkrplot, fastICA, adimpro (0.9), oro.nifti