kaneplusplus / basket
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@@ -175,6 +175,7 @@
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    ret$ess <- p_ess
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    names(ret$ess) <- model$name
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    class(ret) <- c("mem_basket", "mem")
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@@ -434,6 +435,7 @@
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  ret$mean_est <- colMeans(ret$samples)
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  ret$median_est <- apply(ret$samples, 2, median)
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  ret$ess <- ess_from_hpd(fit = ret, alpha = hpd_alpha)
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  names(ret$ess) <- colnames(ret$hpd)
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  class(ret) <- c("mem_basket", "mem")
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  if (cluster_analysis) {
Files Coverage
R 77.83%
Project Totals (8 files) 77.83%
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comment: false
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coverage:
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  status:
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    project:
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      default:
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        target: auto
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        threshold: 1%
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    patch:
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      default:
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        target: auto
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        threshold: 1%
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