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fmri (version 1.9.3)

Analysis of fMRI Experiments

Description

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) .

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Version

Install

install.packages('fmri')

Monthly Downloads

499

Version

1.9.3

License

GPL (>= 2)

Maintainer

Karsten Tabelow

Last Published

February 25th, 2020

Functions in fmri (1.9.3)

IC fingerprinting

Linear Mixed-effects Model for fMRI data

Detrend fMRI time series

Design matrix for fMRI group analysis

fmri.searchlight

Searchlight signal detection

Linear Model for fMRI data

Linear Mixed-effects Meta-Analysis model for fMRI data

Linear Model for FMRI Data

Cluster thresholding.

Generate fmridata example

Translation between smoothness and bandwidth for Gaussian kernel

Linear Model for FMRI Data

plot.fmripvalue

Visualize fMRI p-value maps

Extract data or residuals from a fmridata object

Spatial group ICA for fmri

Smoothing Statistical Parametric Maps

getSearchlightPattern

Extract searchlight pattern from a SPM

Add or replace mask in an fmridata object

niftiImage2fmri

Create fmridata object from niftiImage

Convert Between fmridata and oro.nifti

Convert Between fmridata and oro.nifti Objects

Diagnostics plots for objects of class ''fmriICA''

slicetiming for fmridata-objects

Spacial ICA for fmri data

A function for sinc-interpolation

summary.fmridata