dcmEstimate: DCM estimator

In FIAR: Functional Integration Analysis in R

Description

Estimate parameters of a bilinear DCM

Usage

dcmEstimate(DCM,ts)

Arguments

DCM	DCM object.
ts	Timeseries to fit the model to.

Value

Returns posterior parameter values:

DCM$A	posterior anatomical connections from column j to row i.
DCM$B	posterior functional connections from column j to row i for every input [,,k].
DCM$C	posterior input connections from input k (row) to region l (column).
DCM$H	posterior hemodynamic parameters.
DCM$Cp	posterior parameter covariance.
DCM$Ce	posterior error covariance.

Author(s)

Bjorn Roelstraete

References

Friston et al. 2003. Dynamic Causal Modeling. Neuroimage, 19, 1273-1302.

See Also

dcmGenerate

Examples

# Not run
# Estimate posterior parameters of model DCMex with data DCMex$sim
# ts <-  dcmGenerate(DCMex, SNR=1, ar=.2, names=c('V1','V2','V3'))
# DCMex <- dcmEstimate(DCMex, ts)

#Posterior anatomical connections
 DCMex$A

#Posterior functional connections
 DCMex$B

#Posterior input connections
 DCMex$C

FIAR documentation built on June 5, 2018, 5:03 p.m.