sensiPhy: an R-package for sensitivity analysis in phylogenetic comparative methods

1.Biological conclusions drawn from phylogenetic comparative methods can be sensitive to uncertainty in species sampling, phylogeny and data. To be confident about our conclusions, we need to quantify their robustness to such uncertainty. 2.We present sensiPhy, an R-package to easily and rapidly pe...

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Main Authors: Paterno, G, Penone, C, Werner, G
Format: Journal article
Published: Wiley 2018
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author Paterno, G
Penone, C
Werner, G
author_facet Paterno, G
Penone, C
Werner, G
author_sort Paterno, G
collection OXFORD
description 1.Biological conclusions drawn from phylogenetic comparative methods can be sensitive to uncertainty in species sampling, phylogeny and data. To be confident about our conclusions, we need to quantify their robustness to such uncertainty. 2.We present sensiPhy, an R-package to easily and rapidly perform sensitivity analysis for phylogenetic comparative methods. sensiPhy allows researchers to evaluate the sampling effort, detect influential species and clades, assess phylogenetic uncertainty and quantify the effects of intraspecific variation, for phylogenetic regression and for metrics of phylogenetic signal, diversification and trait evolution. 3.Uniquely, sensiPhy allows users to simultaneously quantify the effects of different types of uncertainty and potential interactions among them. 4.Using real data, we show how conclusions from comparative methods can be affected by uncertainty and how sensiPhy can help determine if a conclusion is robust. 5.By providing a single, intuitive and user-friendly resource that can evaluate various sources of uncertainty, sensiPhy aims to encourage researchers, and particularly less experienced users, to incorporate sensitivity analyses in their phylogenetic comparative analyse
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spelling oxford-uuid:79d7da62-d31e-4ea8-aa26-b0e74d0b3ff52022-03-26T20:40:00ZsensiPhy: an R-package for sensitivity analysis in phylogenetic comparative methodsJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:79d7da62-d31e-4ea8-aa26-b0e74d0b3ff5Symplectic Elements at OxfordWiley2018Paterno, GPenone, CWerner, G1.Biological conclusions drawn from phylogenetic comparative methods can be sensitive to uncertainty in species sampling, phylogeny and data. To be confident about our conclusions, we need to quantify their robustness to such uncertainty. 2.We present sensiPhy, an R-package to easily and rapidly perform sensitivity analysis for phylogenetic comparative methods. sensiPhy allows researchers to evaluate the sampling effort, detect influential species and clades, assess phylogenetic uncertainty and quantify the effects of intraspecific variation, for phylogenetic regression and for metrics of phylogenetic signal, diversification and trait evolution. 3.Uniquely, sensiPhy allows users to simultaneously quantify the effects of different types of uncertainty and potential interactions among them. 4.Using real data, we show how conclusions from comparative methods can be affected by uncertainty and how sensiPhy can help determine if a conclusion is robust. 5.By providing a single, intuitive and user-friendly resource that can evaluate various sources of uncertainty, sensiPhy aims to encourage researchers, and particularly less experienced users, to incorporate sensitivity analyses in their phylogenetic comparative analyse
spellingShingle Paterno, G
Penone, C
Werner, G
sensiPhy: an R-package for sensitivity analysis in phylogenetic comparative methods
title sensiPhy: an R-package for sensitivity analysis in phylogenetic comparative methods
title_full sensiPhy: an R-package for sensitivity analysis in phylogenetic comparative methods
title_fullStr sensiPhy: an R-package for sensitivity analysis in phylogenetic comparative methods
title_full_unstemmed sensiPhy: an R-package for sensitivity analysis in phylogenetic comparative methods
title_short sensiPhy: an R-package for sensitivity analysis in phylogenetic comparative methods
title_sort sensiphy an r package for sensitivity analysis in phylogenetic comparative methods
work_keys_str_mv AT paternog sensiphyanrpackageforsensitivityanalysisinphylogeneticcomparativemethods
AT penonec sensiphyanrpackageforsensitivityanalysisinphylogeneticcomparativemethods
AT wernerg sensiphyanrpackageforsensitivityanalysisinphylogeneticcomparativemethods