From c77dbe87f408446ad82a19008fa1d4df1d656e50 Mon Sep 17 00:00:00 2001 From: nicorbtt Date: Wed, 13 Nov 2024 14:46:35 +0100 Subject: [PATCH] fix error in vignette [h,] --- vignettes/bayesRecon.Rmd | 6 +++--- ...fore_82d4e86c107d9c29f78d1bc6446b9f40.RData | Bin 3431 -> 0 bytes ...r-fore_82d4e86c107d9c29f78d1bc6446b9f40.rdb | Bin 565633 -> 0 bytes ...r-fore_82d4e86c107d9c29f78d1bc6446b9f40.rdx | Bin 239 -> 0 bytes 4 files changed, 3 insertions(+), 3 deletions(-) delete mode 100644 vignettes/bayesRecon_cache/html/hier-fore_82d4e86c107d9c29f78d1bc6446b9f40.RData delete mode 100644 vignettes/bayesRecon_cache/html/hier-fore_82d4e86c107d9c29f78d1bc6446b9f40.rdb delete mode 100644 vignettes/bayesRecon_cache/html/hier-fore_82d4e86c107d9c29f78d1bc6446b9f40.rdx diff --git a/vignettes/bayesRecon.Rmd b/vignettes/bayesRecon.Rmd index 7901806..4d2efda 100644 --- a/vignettes/bayesRecon.Rmd +++ b/vignettes/bayesRecon.Rmd @@ -200,7 +200,7 @@ crps.fc <- list() crps.reconc <- list() for (h in 1:length(test)) { y.hat_ <- median(fc.samples[[nrow(A) + h]]) - y.reconc_ <- median(recon.res$bottom_reconciled_samples[, h]) + y.reconc_ <- median(recon.res$bottom_reconciled_samples[h,]) # Compute Absolute Errors ae.fc[[h]] <- abs(test[h] - y.hat_) ae.reconc[[h]] <- abs(test[h] - y.reconc_) @@ -208,7 +208,7 @@ for (h in 1:length(test)) { crps.fc[[h]] <- scoringRules::crps_sample(y = test[h], dat = fc.samples[[nrow(A) + h]]) crps.reconc[[h]] <- - scoringRules::crps_sample(y = test[h], dat = recon.res$bottom_reconciled_samples[, h]) + scoringRules::crps_sample(y = test[h], dat = recon.res$bottom_reconciled_samples[h,]) } mae.fc <- mean(unlist(ae.fc)) @@ -228,7 +228,7 @@ metrics # Temporal hierarchy over a smooth time series In this second example, we select a smooth monthly time series (N1485) from the M3 forecasting competition [@makridakis2000m3]. 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