View source: R/SequenceSpikeSlab.R
SSS_hierarchical_prior | R Documentation |
Compute marginal posterior probabilities (slab probabilities) that data points have non-zero mean for the hierarchical prior.
SSS_hierarchical_prior(log_phi_psi, logprior, show_progress = TRUE)
log_phi_psi |
List {logphi, logpsi} containing two vectors of the same length n
that represent a preprocessed version of the data. logphi and logpsi should contain
the logs of the phi and psi densities of the data points, as produced for instance
by |
logprior |
vector of length n+1 with components logprior[p]=log(pi_n(p)) for
|
show_progress |
Boolean that indicates whether to show a progress bar |
Returns a vector with marginal posterior slab probabilities that x[i]
has
non-zero mean for i=1,...,n
.
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