Data from: Assessing among-lineage variability in phylogenetic imputation of functional trait datasets

Rafael Molin-Venegas, Juan Carlos Moreno-Saiz, Isabel Castro Castro, T. Jonathan Davies, Pedro R. Peres-Neto, Miguel Á. Rodriguez & Rafael Molina-Venegas
Phylogenetic imputation has recently emerged as a potentially powerful tool for predicting missing data in functional traits datasets. As such, understanding the limitations of phylogenetic modelling in predicting trait values is critical if we are to use them in subsequent analyses. Previous studies have focused on the relationship between phylogenetic signal and clade-level prediction accuracy, yet variability in prediction accuracy among individual tips of phylogenies remains largely unexplored. Here, we used simulations of trait evolution...
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