FIAR (version 0.6)

dcmEstimate: DCM estimator

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.

References

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

See Also

dcmGenerate

Examples

# NOT RUN {
# 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

# }