UpdateTheta_templateICA | R Documentation |
Parameter Estimates in EM Algorithm for Template ICA Model
UpdateTheta_templateICA.spatial(
template_mean,
template_var,
meshes,
BOLD,
theta,
C_diag,
H,
Hinv,
s0_vec,
D,
Dinv_s0,
verbose = FALSE,
return_MAP = FALSE,
update = c("all", "kappa", "A")
)
UpdateTheta_templateICA.independent(
template_mean,
template_var,
BOLD,
theta,
C_diag,
H,
Hinv,
update_nu0sq = TRUE,
return_MAP = FALSE,
verbose = TRUE
)
template_mean |
( |
template_var |
( |
meshes |
|
BOLD |
( |
theta |
(list) current parameter estimates |
C_diag |
|
H , Hinv |
For dimension reduction |
s0_vec |
Vectorized template means |
D |
Sparse diagonal matrix of template standard deviations |
Dinv_s0 |
The inverse of D times s0_vec |
verbose |
If |
return_MAP |
If |
update |
Which parameters to update. Either |
update_nu0sq |
For non-spatial model: updating |
An updated list of parameter estimates, theta, OR if
return_MAP=TRUE
, the posterior mean and precision of the latent fields
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