Nothing
bomegasMultiOut <- function(data, n.factors, n.iter, n.burnin, thin, n.chains,
interval, model, impute, prior.params,
param.out, callback, pbtick, model.type) {
out <- list()
om_out <- omegaMultiBayes(data, n.factors, n.iter, n.burnin,
n.chains, thin, model, impute, prior.params, param.out, callback, pbtick, model.type)
out$omega_t$chains <- om_out$omt
out$omega_t$mean <- mean(om_out$omt)
out$omega_t$cred <- coda::HPDinterval(coda::mcmc(c(om_out$omt)),
prob = interval)
if (model.type != "correlated") {
out$omega_h$chains <- om_out$omh
out$omega_h$mean <- mean(om_out$omh)
out$omega_h$cred <- coda::HPDinterval(coda::mcmc(c(om_out$omh)),
prob = interval)
}
out$implCovs <- apply(om_out$impl_covs, c(3, 4), as.vector)
out$imputed_data <- om_out$imputed_values
out$model <- list()
out$model$file <- om_out$modfile
if (param.out) {
out$model$lambda <- om_out$lambda
out$model$beta <- om_out$beta
out$model$theta <- om_out$theta
out$model$psi <- om_out$psi
out$model$phi <- om_out$phi
}
return(out)
}
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