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FIAR (version 0.6)

Functional Integration Analysis in R

Description

Contains Dynamic Causal Models (DCM), Autoregressive Structural Equation Models (ARSEM), and multivariate partial and conditional Granger causality tests for analysing fMRI connectivity data.

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Version

Install

install.packages('FIAR')

Monthly Downloads

41

Version

0.6

License

GPL-2

Maintainer

Bjorn Roelstraete

Last Published

June 5th, 2018

Functions in FIAR (0.6)

attentiondata

Demo dataset
ARorder

Estimate AR order of Multivariate timeseries
DCMex

Demo dataset
DCMatt

Demo dataset
condGranger

Conditional granger causality
SEMextract

Preparing fMRI time series for SEM analysis
dcmEvidence

modelfit
semdata

Demo dataset
grangerdata

Demo dataset
hrfConvolve

Convolution function
X0

Demo dataset
ARsem

Auto-regressive SEM
dcmGenerate

DCM timeseries generator
dcmEstimate

DCM estimator
dcmParam

DCM object builder
dcmCompare

DCM comparison
partGranger

Partial Granger causality
diffGranger

Directed conditional granger causality
pdiffGranger

partial difference Granger causality