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Transform the sampled correlation matrices to precision matrices (i.e., inverse covariance matrices).
precision(object, progress = TRUE)
precision_mean The mean of the precision matrix (p by p matrix).
precision_mean
p
precision 3d array of dimensions p by p by iter including unconstrained (i.e., from th full graph) precision matrices.
precision
iter
An object of class estimate.
estimate
Logical. Should a progress bar be included (defaults to TRUE) ?
TRUE
# \donttest{ # data Y <- ptsd # fit model fit <- estimate(Y) # precision matrix Theta <- precision(fit) # }
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