Package: fmri 1.9.12.1

Karsten Tabelow

fmri: Analysis of fMRI Experiments

Contains R-functions to perform an fMRI analysis as described in Polzehl and Tabelow (2019) <doi:10.1007/978-3-030-29184-6>, Tabelow et al. (2006) <doi:10.1016/j.neuroimage.2006.06.029>, Polzehl et al. (2010) <doi:10.1016/j.neuroimage.2010.04.241>, Tabelow and Polzehl (2011) <doi:10.18637/jss.v044.i11>.

Authors:Karsten Tabelow [aut, cre], Joerg Polzehl [aut], Brandon Whitcher [ctb], Dames Sibylle [ctb]

fmri_1.9.12.1.tar.gz
fmri_1.9.12.1.tar.gz(r-4.7-arm64)fmri_1.9.12.1.tar.gz(r-4.7-x86_64)fmri_1.9.12.1.tar.gz(r-4.6-arm64)fmri_1.9.12.1.tar.gz(r-4.6-x86_64)
fmri_1.9.12.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
fmri/json (API)

# Install 'fmri' in R:
install.packages('fmri', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • openblas– Optimized BLAS
Datasets:
  • hvred - Translation between smoothness and bandwidth for Gaussian kernel

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

openblas

4.55 score 2 stars 1 packages 118 scripts 479 downloads 23 mentions 40 exports 17 dependencies

Last updated from:fa1466e31e. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK165
linux-devel-x86_64OK156
source / vignettesOK179
linux-release-arm64OK162
linux-release-x86_64OK163
wasm-releaseOK174

Exports:condensefMRIcutroiexpandfMRIextractDatafmri.clusterfmri.designfmri.designGfmri.detrendfmri.lmfmri.lmeParfmri.metaParfmri.pvaluefmri.searchlightfmri.sgroupICAfmri.sICAfmri.smoothfmri.stimulusfmri2orogen_fmridatagetSearchlightPatternICAfingerprintniftiImage2fmrioro2fmriplot.fmridataplot.fmrigroupICAplot.fmriICAplot.fmripvalueplot.fmrisegmentprint.fmridataread.AFNIread.ANALYZEread.DICOMread.NIFTIsetmasksincfilterslicetimingsummary.fmridatawrite.AFNIwrite.ANALYZEwrite.NIFTI

Dependencies:abindawsawsMethodsbitopsdigestgsllatticemathjaxrMatrixmetadatmetafornlmenumDerivoro.niftipbapplyRcppRNifti

Readme and manuals

Help Manual

Help pageTopics
Convert Between fmridata and oro.nifti Objectsfmri2oro oro2fmri
I/O functioncutroi
Extract data or residuals from a fmridata objectcondensefMRI expandfMRI extractData
Cluster thresholding.fmri.cluster
Linear Model for FMRI Datafmri.design
Design matrix for fMRI group analysisfmri.designG
Detrend fMRI time seriesfmri.detrend
Linear Model for fMRI datafmri.lm
Linear Mixed-effects Model for fMRI datafmri.lmePar
Linear Mixed-effects Meta-Analysis model for fMRI datafmri.metaPar
P-valuesfmri.pvalue
Searchlight signal detectionfmri.searchlight
Spatial group ICA for fmrifmri.sgroupICA
Spacial ICA for fmri datafmri.sICA
Smoothing Statistical Parametric Mapsfmri.smooth
Linear Model for FMRI Datafmri.stimulus
Generate fmridata examplegen_fmridata
Extract searchlight pattern from a SPMgetSearchlightPattern
Translation between smoothness and bandwidth for Gaussian kernelhvred
IC fingerprintingICAfingerprint
Create fmridata object from niftiImageniftiImage2fmri
I/O functionsplot.fmridata plot.fmrisegment
Diagnostics plots for objects of class '''fmriICA'''plot.fmrigroupICA plot.fmriICA
Visualize fMRI p-value mapsplot.fmripvalue
I/O functionsprint.fmridata
I/O functionread.AFNI
I/O Functionsread.ANALYZE
I/O functionread.DICOM
I/O Functionsread.NIFTI
Add or replace mask in an fmridata objectsetmask
A function for sinc-interpolationsincfilter
slicetiming for fmridata-objectsslicetiming
I/O functionssummary.fmridata
I/O functionswrite.AFNI
I/O Functionswrite.ANALYZE
I/O Functionswrite.NIFTI