dcmEstimate: DCM estimator

Description Usage Arguments Value Author(s) References See Also Examples

View source: R/dcmEstimate.R

Description

Estimate parameters of a bilinear DCM

Usage

1

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

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
# 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.

Related to dcmEstimate in FIAR...