fix: robyn_modelselector()'s scores issue when a cluster had 2 models…

…, thus no sd
laresbernardo · Feb 3, 2025 · 2fa1d09 · 2fa1d09
1 parent 570e8ab
commit 2fa1d09
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diff --git a/DESCRIPTION b/DESCRIPTION
@@ -1,7 +1,7 @@
 Package: lares
 Type: Package
 Title: Analytics & Machine Learning Sidekick
-Version: 5.2.11.9001
+Version: 5.2.11.9002
 Authors@R: c(
     person("Bernardo", "Lares", , "laresbernardo@gmail.com", c("aut", "cre")))
 Maintainer: Bernardo Lares <laresbernardo@gmail.com>

diff --git a/R/robyn.R b/R/robyn.R
@@ -335,6 +335,7 @@ robyn_modelselector <- function(
       normalized_value <- normalize(data[[metric_name]], na.rm = TRUE)
       weight <- weights[which(metrics == metric_name)]
       sign <- ifelse(metric_name %in% invert_criteria, -1, 1)
+      normalized_value[is.na(normalized_value)] <- 0
       return(normalized_value * weight * sign)
     }
     return(0)